1

STANLEY C. AHALT Executive Director

Ohio Supercomputer Center Professor

Department of Electrical and Computer Engineering The Ohio State University

1224 Kinnear Road, Columbus, OH 43212 stan.ahalt@gmail.com

Office: (614) 292-9524 Cell: (614) 395-8883

Education:

Ph.D. Clemson University Electrical and Computer Engineering 1986 M.S. Virginia Tech Electrical Engineering 1980 B.S. Virginia Tech Electrical Engineering 1978

Professional Appointments:

07/03 to Present Executive Director, Ohio Supercomputer Center, Columbus, OH 10/97 to Present Professor, The Ohio State University Department of Electrical and Computer

Engineering, Columbus, OH 10/92 – 10/97 Associate Professor, The Ohio State University, Department of Electrical and

Computer Engineering, Columbus, OH 01/87 - 10/92 Assistant Professor, The Ohio State University, Department of Electrical

Engineering, Columbus, OH 08/81 - 07/82 Institute Instructor, Virginia Polytechnic Institute and State University 07/80 - 08/81 Technical Staff, Bell Telephone Laboratories

Recognition and Appointments:

• Chair, Ohio Appalachian Broadband Task Force, appt. by Congressman Space, 2008 – present. • Member, Ohio Office of Information Technology, Infrastructure Services Division Advisory

Committee, 2008 – present • Co-Chair, Ohio Broadband Council, appt. by Governor Ted Strickland, 2007 – present. • Extramural Member, Advanced Biomedical Computing Center (ABCC) Oversight Committee,

National Cancer Institute, Frederick, MD, 2007 – present. • Member of the Council on Competitiveness High Performance Computing Advisory Committee,

2004-present. • Chair, Arkansas External HPC Advisory Committee, Little Rock and Fayetteville, AK, August, 2007. • Keynote Speaker: “OSC: 20 years of service to Ohio,” Royal Academy of Engineering, Madrid,

Spain, Oct. 2007. • Co-chair, NSF Cyberinfrastructure and Chemical and Biological Process Systems Workshop,

Washington, DC., Sept. 2006. • HPCWire’s “2006 Readers' Choice Award - Best HPC Collaboration Between Government and

Industry: Blue Collar Computing Initiative.” • HPCWire’s “People to Watch,” 2005 • Keynote speaker, “HPC as an Economic Engine: Blue Collar Computing" SC2004, Pittsburgh, PA,

Nov. 2004. • Nominated Executive of the Year, Columbus Top Cat regional technology awards, Jan. 2006. • Recipient of 1999 OSU College of Engineering Annual Research Accomplishment Award. • Recipient of 1997 OSU College of Engineering Lumley Research Award. • IEEE Transactions on Neural Networks, Associate Editor, July 1999 – July 2001.

2

Research Interests:

Signal, image, and video processing High-performance scientific and industrial computing Pattern recognition applied to national security problems High-productivity, domain specific languages Research Funding: Net Research Expenditures in past five years (PI or Co-PI):

2003 – $1,054,324 2004 – $ 995,704 2005 – $ 782,706 2006 – $1,814,230 2007 – $2,175,328 Research Objectives:

Science has entered a new era in which the key discoveries that drive both knowledge expansion and economic development will be possible only via investigating and understanding complex systems. Complex systems encompass both natural and artificial systems that operate on many scales of time and space. Because complex systems are inherently multi-scale, deep understanding of complex systems can only be understood by interdisciplinary teams using the most advanced computational techniques enabled by cyberinfrastructure, which couples:

• high performance computing, • networking, • storage • software, • instruments, and • expertise.

Using this combination of components to advance science, technology, engineering and mathematics is known as Computational Science and Engineering (CSE). CSE has effectively become a third way of advancing knowledge - supporting and reinforcing theory and experimentation. At the same time, computational simulation and data analysis have become essential to many areas of business and impact competitiveness, product development, risk assessment, and engineering design. Vision: Institutions interested in aggressively competing for federal investments in science and engineering, as well as for commercial investments leading to economic development, must be well positioned with respect to CSE. This requires investments in a robust cyberinfrastructure and investments in people, facilities, education, and outreach that support a culture of scientific and engineering simulation. Investments in cyberinfrastructure, particularly in the form of a High Performance Computational Science and Engineering Centers (HPC-SECs), provide a university with a sustained competitive advantage in:

• securing federal, state, and industrial funding, • recruiting and retaining prominent, talented and successful faculty, • migrating current researchers onto high-end resources in order to maximize their science and

funding, • developing new techniques and knowledge that can be commercialized, • developing and infusing CSE into graduate and undergraduate curricula, • recruiting graduate students who hold prestigious student-vested federal graduate fellowships.

3

Funding opportunities:

There have recently been a number of highly visible federal CSE programs sponsored by the DOE, DoD, NSF, and NIH. Funding for these programs has been impressive. Over the past two years these programs have generated federal awards in excess of $1B in cyberinfrastructure investments, and almost $700M in CSE research funding. Some examples include:

• National Science Foundation (NSF) o PetaApps: develop the future simulation, optimization and analysis tools that can utilize

petascale computing. Funding: $21.5M. http://www.nsf.gov/pubs/2007/nsf07559/nsf07559.htm

o Cyber-enabled Discovery and Innovation (CDI): new concepts, tools and approaches at the intersection of computation, physics, and biology. Funding: $700M. http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503163

o Emerging Models and Technologies for Computation (EMT): enable innovations in software, hardware, and architecture of computing and communications systems at the intersections of computing, biological systems, nano-scale systems, and quantum systems. Funding: $16M. http://www.nsf.gov/pubs/2008/nsf08517/nsf08517.pdf

o Petascale Computing Resource Allocations (PRAC): access to Blue Waters, via demonstration of compelling science or engineering challenges. Funding: $6M. http://www.nsf.gov/pubs/2008/nsf08529/nsf08529.htm

o High End Computing University Research Activity (HECURA): research and education projects focused on novel programming models, languages, compilers, and data-intensive applications. Funding: $10M. http://www.nsf.gov/pubs/2008/nsf08529/nsf08529.htm

• Department of Energy (DoE) o Advanced Simulation and Computing (ASC) Program: nuclear stockpile stewardship.

http://www.sandia.gov/NNSA/ASC/ o Scientific Discovery through Advanced Computing (SciDAC): coordinated research

efforts directed at exploiting the emerging capabilities of terascale and petascale computing. Funding: $193M. http://www.scidac.gov/aboutSD.html

o Predictive Science Academic Alliance Program (PSAAP): application of verified and validated computational simulations to predict properties and dynamics of complex systems. http://www.sandia.gov/NNSA/ASC/univ/psaap/faq.html

• Department of Defense (DoD) o CREATE: improve the ability of the Department of Defense (DoD) to procure advanced

weapons systems on time and within budget. Funding: $200M. o User Productivity Enhancement and Technology Transfer (PET): enables DoD

researchers to make use of advanced computing capacity. PET III Funding: $85M. (to be awarded in 2008-2009). http://www.hpcmo.hpc.mil/Htdocs/PET/index.html

• National Institutes of Health (NIH) o Large Scale Collaborative Project Awards: develop state-of-the-art, large-scale

technologies; and create the infrastructure for high-volume data collection, management, and analysis. Funding: max $25M/award. http://grants.nih.gov/grants/guide/pa-files/PAR-07-412.html

o Innovations in Biomedical Computational Science and Technology: research and developments in computational science and technology that will support rapid progress in areas of scientific opportunity in biomedical research. http://grants.nih.gov/grants/guide/pa-files/PAR-07-344.html

4

Summary of OSC Accomplishments:

Over the past five years OSC has built a strong national reputation for providing training, scientific computing, and network research services to both national and state HPC and networking. OSC and the Third Frontier Network were recently cited in a Battelle report as a key collaborative center that marks Ohio's strength in information technology and for its contributions to regenerative and personalized medicine, chemical sciences, biomedical imaging, mathematics, and computer science. A recent OSC survey of nearly two dozen Ohio universities showed that the faculty who use OSC facilities as part of their research received $187 million in research funding from 2003 through 2005. Recent surveys documented $100M of research that was enabled by OSC for 2006, and $85M for 2007. Major accomplishments at OSC over the past two years:

• Provided High Performance computing services to 683 researchers who worked on 277 projects, consuming 6,918,900 computational hours – a 20% increase over the previous two years.

• Completed deployment of a new IBM Cluster 1350, increasing OSC’s computing capabilities tenfold. The IBM Cluster 1350 offers researchers a peak performance of more than 17 teraflops. This machine will rank approximately 65th among the fastest supercomputers in the world and 9th among U.S. academic supercomputer centers.

• Launched the Blue Collar Computing initiative, providing high performance computing access and expertise for Ohio businesses as a key competitive differentiator in the world market. HPCwire awarded OSC with the “2006 Readers' Choice Award - Best HPC Collaboration Between Government and Industry: Blue Collar Computing Initiative.” See: http://www.bluecollarcomputing.org/

• Completed the Third Frontier Network (TFN), subsequently re-named OSCnet, which connects 87 higher education institutions, 2 Federal Facilities, 30 Information Technology Centers, all of Ohio K-12 schools and 9 Public Broadcasting Stations. An external review estimates that the cost savings to higher education from this network is $60 million over 10 years.

• In April, 2007, an Executive Order established OSCnet, (formerly TFN) partnership with NextGen, a new state-wide networking initiative which will utilize the core fiber assets established by OSC to carry all Ohio state and local government traffic.

• Established the Ralph Regula School of Computational Science, a statewide virtual school focused on computational science, and the first in the country to organize state-wide resources via broadband network access. The Krell Institute awarded the Regula School the “2008 Undergraduate Computational Engineering and Sciences” award.

OSC External Review: At the request of the OSC Governing Board, a comprehensive in-depth review of the Ohio Supercomputer Center (OSC) was conducted on August 13 and14, 2007. The external panel subsequently issued a report of its findings, including the following excerpt:

At the outset, we would like to express our sincere appreciation for the time and effort expended by the OSC team. The briefing book was a model of clarity and substance, without being too overwhelming. The discussions with the OSC executive team were open and candid. In response to our questions they were able to drill down to provide us with as much detail as we wanted. We want to commend the team with which we interacted. They displayed excellent teamwork, under the very able leadership of Professor Stan Ahalt. There is a strong sense of institution, with thoughtful rationales for the current institutional structure and programmatic directions.

The committee noted the following specific areas of “impressive achievements” • Establishment of the Ralph Regula School of Computational Science • OSCnet / Broadband Ohio

5

• Research group growth • Customer satisfaction survey results • Three-tiered service structure • Blue Collar Computing

OSC Research and Related Initiatives: The table below shows that for every one dollar OSC receives from Ohio funding sources, approximately three dollars from non-Ohio funding sources is received by OSC. And for every one dollar OSC receives from external sources, approximately two dollars go to OSC’s research partners throughout Ohio and the U.S.

OSC Research Awards – FY 05-07

Non-State Awards

State Awards

All Awards

Total Amount $34,180,741 $11,945,225 $46,125,966 Funding to Partners $20,325,546 $11,532,536 $31,858,082 OSC Amount $13,855,195 $412,689 $14,267,884 Total Number of Awards 58 9 67 Awards with OSC as Lead 42 3 45

Blue Collar Computing: Blue Collar Computing is high performance computing directed towards industrial collaborators, particularly small and medium sized businesses. HPC can reduce the time required to design new products, lead to the discovery of new processes and products, reduce the time it takes to get a product to market, and improve the quality and efficiency of product production. Sophisticated computer models are being employed in a diverse array of products ranging from containers, pharmaceuticals, automobiles, and airplanes, to name a few. In many cases HPC allows different product designs to be tested before any physical products are manufactured. This approach ultimately allows these companies to bring better products to market faster and cheaper than they could by employing conventional design and testing techniques. This competitive edge is vital to keeping America at the forefront of the global economy. The importance of this strategic use of HPC is affirmed by the Council on Competitiveness (www.compete.org); which is leading a national innovation initiative to push the use of HPC in industry. Echoing the importance of these issues, Senator Voinovich (R-OH) and Senator Herb Kohl (D-WI) introduced the “Blue Collar Computing and Business Assistance Act of 2007,” (S.1948) on August 2, 2007 and Congressman Ryan (D-OH) introduced a corresponding bill (H.R.3466) proposing the creation the Advanced Multidisciplinary Computing Software Institute (AMCSI). HPCwire awarded OSC with the “2006 Readers' Choice Award - Best HPC Collaboration Between Government and Industry: Blue Collar Computing Initiative.”

Example: Working with the Edison Welding Institute (EWi), OSC introduced the eWeldPredictor portal, an easy to use web based interface that allows welding engineers to simulate “virtual” welds, thus reducing the time and material wasted with physical prototypes.

Example: Working with PolymerOhio, we are developing the ePolymer portal for the polymers and plastics industry in Ohio.

6

OSC Education and Training: Education and training activities are integral to the effective use of the infrastructure that OSC provides. A significant proportion of OSC funding is devoted to training activities. Our research efforts also involve major education and training components and have been the basis for building an international reputation for OSC that leads to the generation of external grants. Most recently, OSC has added additional training activities in networking and have significantly expanded involvement in the development of curricular materials with our partner universities through the formation of the Ralph Regula School of Computational Science.

Over the past two years: • OSC provided 218 workshops, tutorials, and conferences for 3422 people. There were 191

workshops with 2828 attendees. • OSC developed an online tutorial for parallel programming with academic partners in Illinois,

Kentucky, and Massachusetts that is being used by thousands of people world-wide. • OSC led several NSF projects including a national training virtual institute involving 15

institutions across the US, the development of a National Science Digital Library for computational science education materials, and the development of a distance learning course on computational science for high school teachers.

• OSC developed a new set of training materials on community networking to familiarize local officials with the need for broadband access and how to bring it to their communities. Three workshops were attended by approximately 120 people.

• Ralph Regula School of Computational Science: The Ralph Regula School of Computational

Science (RRSCS) is a statewide virtual school focused on computational science. The School is a part of the Ohio Board of Regents and OSC's Computational Science Initiative. The initiative is focused on providing a high quality workforce that is knowledgeable in STEM fields through instruction that starts in K-12 programs and continues through graduate programs, and includes the development of certificate programs. The RRSCS will be critical to attracting and retaining innovative firms, providing the workforce required to make Blue Collar Computing successful, thus making Ohio firms more competitive in the international marketplace. The Regula School was awarded the 2008 Undergraduate Computational Engineering and Sciences award by the Krell Institute. Over the past year OSC has assisted in the formation of the school and has led a number of successful projects that will contribute to the success of the school:

o Undergraduate Minor Program: OSC, Capital University, and the Ohio Learning Network (OLN) are leading an NSF-sponsored project to develop an undergraduate minor in computational science.

o Project Lead the Way (PLTW): PLTW is the Tech Prep pre-engineering program for high school students. This curriculum introduces students to the scope, rigor and discipline of engineering and engineering technology prior to entering college.

o Computational Science Education Reference Desk (CSERD): This is an NSF, National Science Digital Library Project that is creating a digital repository of computational science materials for instruction in K-12 and higher education.

o Genome Research Institute Discovery Platform (GRIDP): As an initial project of the Ralph Regula School of Computational Science, the Genome Research Institute Discovery Platform, or GRIDP, is a joint effort between OSC and GRI to create an easy to use interface for the sequence of HPC programs used to undertake digital pharmacology discovery work

o Ohio Computational Science Lecture Series - This lecture series focusing on computational modeling and its research applications is held at various locations around the state and is carried live via Internet H.323 video and streaming video.

7

Graduate Student Advising:

Doctoral Students: Dissertation Advisor: Completed Ph.D. Students: 1. Yi Zhao, “Studies on Error Control of 3-D Zerotree Wavelet Video Streaming,” Summer, 2005 2. Honglin Li, “Hierarchical Video Semantic Annotation - The Vision and the Techniques,” Fall, 2003 3. Junshui Ma, “HRR ATR Using Support Vector Machines,” Summer, 2001 4. Michael Collins, “Generating Gestural Scores from Acoustic Data Using Temporal Decomposition,”

Summer 1998 5. William Pierson, “Using Boundary Methods for Estimating Class Separability,” Summer 1998 6. Jim Fowler, “Adaptive Vector Quantization for the Coding of Nonstationary Sources,” Fall 1996 7. Aris Galanopolous, “Analysis of Frequency Sensitive Competitive Learning, Fall 1996 8. Daniel Stewart, (co-advised with L. C. Potter), “Minimal Time-Frequency Localization Techniques

and Their Application to Image Compression,” Spring 1994 9. Tzyy-Ping Jung, (co-advised with A. K. Krishnamurthy), “An Algorithm for Deriving an

Articulatory-Phonetic Representation,” Winter, 1993 Masters Students: Thesis Advisor: 1. Harrison Smith, “The SMART Reconfigurable Coprocessor for Fuzzy Searching of SAGE Generated

Datasets,” July, 2006 2. Shantanu Bhardwaj, “Network Simulations,” July, 2002 3. Rodolfo Marques Bellesi, “Adaptive Locality Directed Vector Quantization,” March, 2000 4. Mohammed Qasem, “Locality Directed Vector Quantization,” December 1999 5. Hrishikesh Aradhye, “Face Localization in Moving Imagery,” December 1999 6. Xun Du, “3-D Orientation Vector Estimation for Sub-components of SOI Imagery,” December 1997 7. Jun Zhao, “3-D Orientation Vector Estimation for Space Object Imagery,” December 1996 8. Michael Collins, “Generating Gestural Scores from Articulatory Data using Temporal

Decomposition,” March 1995 9. David J. Hermann, “Clustering and Compression of High-Dimensional Sensor Data,” March 1993 10. Jim Fowler, “An Algorithm for Image Compression Using Differential Vector Quantization,” March

1992 11. Matthew Carbonara, “Differential Vector Quantization of Digital Image Data Using Artificial Neural

Network Codebook Design,” March 1992 12. Tom Little, “A User Customizable X Window System Interface for Neural Network Simulation,”

March 1992 13. Surajit Chakravarti, “Vector Quantization of Images Using Artificial Neural Net-works,” August

1991 14. SureshBabu Kuttuva, “An X Windows Interface for the Neural Shell Simulation Programs,” August

1991 15. Jerry Starner, “Classification of Coaxially Viewed Weld Scenes Using a Modified Frequency

Sensitive Competitive Learning Artificial Neural Network,” August 1991 16. Ngoc Trinh, “Convergence Analysis of the FSCL Network,” June 1990 17. Cheng-Taou Chou, “Development of Neural Network Signal Processing Algorithms on the Cray Y-

MP8/64 Supercomputer,” June 1990 18. Tzyy-Ping Jung, “Pattern Recognition Using Neural Networks,” August 1989 19. Hang-Bong Kang, “Design and Implementation of the Redundant File System,” June 1989 20. Tahsin Mzaik, “Implementation of Remote Procedure Calls on the Hypercube,” March 1989 21. Mohammed Ouslim, “Management of Overlapped-Register-Sets Using Dribble-Back Cycles,” March

1989 22. Prakoon Chen, “The Neural Shell: A Neural Networks Simulator,” June 1989 23. Ahmed Hajji, “An Alternative Design of a Stack Oriented Modular Architecture,” December 1988

8

24. Christopher L. Mills, “An LALR(1) Tree Grammar and Parser Generator,” December1988 25. Sarvajna Kazi, “Stack Institution of a Modular Architecture,” December 1988 26. Yang Xu, “An LL(1) Binary Tree Grammar and its Parser Generator,” June 1988 Masters Students Co-Advised: 1. Xiaomei Liu, “Temporal Generalization of Simple Recurrent Networks,” (co-advised with D. Wang -

CIS), December 1995 2. Layne Flake, “Multi-aperture SAR Target Detection using Hidden Markov Models,” (co-advised with

A. K. Krishnamurthy), March 1995 3. H. C. Chiang, “Linear Correlators for Image Pattern Classification,” (co-advised with R. L. Moses),

December 1994 4. Hong Lu, “System Mimic of OSU Research Reactor,”(co-advised with D. Miller, Nuclear

Engineering), August 1992 5. James Matheke, “Noise Immunity in a Hopfield Network,” (co-advised with T. Compton), March

1992 6. Amit Mehrotra, “Qualitative Interpretation of Process Sensor Data using the ART-2 Model,” (co-

advised with J. Davis), June 1991 7. Mark Hanes, “Artificial Neural Network Control of Force Distribution for Robotic Power Grasp,”

(co-advised with D. Orin), March 1991 Completed MSEE Students: 1. Parna Khot, “A Parallel Data Mining Toolbox,” November 2003 2. Bhardwaj, Shantanu, “Network Simulations,” July, 2002 3. Siddharth Samsi, “Parallel MATLAB,” May, 2003 4. Bellesi, Rodolfo Marques, “Adaptive Locality Directed Vector Quantization,” March, 2000 5. Aradhye, Hrishikesh, “Face Localization in Moving Imagery,” December 1999 6. Du, Xun, “3-D Orientation Vector Estimation for Sub-components of SOI Imagery,” December

1997 7. Jun Zhao, “3-D Orientation Vector Estimation for Space Object Imagery,” December 1996 8. Michael Collins, “Generating Gestural Scores from Articulatory Data using Temporal

Decomposition,” March 1995 9. Layne Flake, “Multi-aperture SAR Target Detection using Hidden Markov Models,” (co-advised

with A. K. Krishnamurthy), March 1995 10. Xiaomei Liu, “Temporal Generalization of Simple Recurrent Networks,” (co-advised with D. Wang

- CIS), December 1995 11. H. C. Chiang, “Linear Correlators for Image Pattern Classification,” (co-advised with R. L. Moses),

December 1994 12. David J. Hermann, “Clustering and Compression of High-Dimensional Sensor Data,” March 1993 13. Hong Lu, “System Mimic of OSU Research Reactor,” (co-advised with D. Miller, Nuclear

Engineering), August 1992 14. Matthew Carbonara, “Differential Vector Quantization of Digital Image Data using Artificial Neural

Network Codebook Design,” March 1992 15. Tom Little, “A User Customizable X Window System Interface for Neural Network Simulation,”

March 1992 16. James Matheke, “Noise Immunity in a Hopfield Network,” (co-advised with T. Compton), March

1992 17. Jim Fowler, “An Algorithm for Image Compression using Differential Vector Quantization,” March

1992 18. Jerry Starner, “Classification of Coaxially Viewed Weld Scenes using a Modified Frequency

Sensitive Competitive Learning Artificial Neural Network,” August 1991 19. Surajit Chakravarti, “Vector Quantization of Images using Artificial Neural Networks,” August 1991

9

20. SureshBabu Kuttuva, “An X Windows Interface for the Neural Shell Simulation Programs,” August 1991

21. Amit Mehrotra, “Qualitative Interpretation of Process Sensor Data using the ART-2 Model,” (co-advised with J. Davis), June 1991

22. Mark Hanes, “Artificial Neural Network Control of Force Distribution for Robotic Power Grasp,” (co-advised with D. Orin), March 1991

23. Ngoc Trinh, “Convergence Analysis of the FSCL Network,” June 1990 24. Cheng-Taou Chou, “Development of Neural Network Signal Processing Algorithms on the Cray Y-

MP8/64 Supercomputer,” June 1990 25. Tzyy-Ping Jung, “Pattern Recognition using Neural Networks,” August 1989 26. Hang-Bong Kang, “Design and Implementation of the Redundant File System,” June 1989 27. Prakoon Chen, “The Neural Shell: A Neural Networks Simulator,” June 1989 28. Tahsin Mzaik, “Implementation of Remote Procedure Calls on the Hypercube,” March 1989 29. Mohammed Ouslim, “Management of Overlapped-Register-Sets Using Dribble-Back Cycles,”

March 1989 30. Sarvajna Kazi, “Stack Institution of a Modular Architecture,” December 1988 31. Ahmed Hajji, “An Alternative Design of a Stack Oriented Modular Architecture,” December 1988 32. Christopher L. Mills, “An LALR(1) Tree Grammar and Parser Generator,” December 1988 33. Yang Xu, “An LL(1) Binary Tree Grammar and its Parser Generator,” June 1988 Recent Teaching Evaluations:

Qtr/Yr Course Number and Title Performance Univ. Avg.Au 96 EE 351: Signals & Systems I 4.6 4.2 Wi 97 EE 300: Electrical Circuits 4.4 4.2 Wi 97 EE 300: Electrical Circuits 4.3 4.2 Wi 97 EE 779: Introduction to Neural Networks 4.7 4.2 Wi 98 EE 707: Image Processing 4.4 4.3 Wi 99 EE 779: Introduction to Neural Networks (SEI) 4.6 4.3 Au 99 EE 301: Analysis and Design in Circuits and Electronics 4.6 4.3 Au 00 EE 261: Introduction to Logic Design 4.5 4.3 Au 00 EE 261: Introduction to Logic Design 4.6 4.3

Wi 2001 EE779: Introduction to Neural Networks 4.5 4.3 Wi 2002 EE 707: Image Processing 4.7 4.3 Wi 2003 EE 707: Image Processing 4.4 4.3 Current (2008) Research Funding (PI or Co-PI)

$ 100,500 DoD HPCMO/ MSU SIP Applications from Desktops on HPC (SIP-KY7-001)

$ 9,378 DoD HPCMO/ MSU Intro/Inter MATLAB Training @ SSC-SD $ 7,803 DoD HPCMO/ MSU Intro/Inter Python Training @ SSC-SD $ 8,766 DoD HPCMO/ MSU PERL Training @ ARL/ALC $ 151,500 DoD HPCMO/ MSU Using M&S Codes in T&E Environments

(IMT-KY7-002) $ 102,000 DoD HPCMO/ MSU Sharing and Mining SIP Data (SIP-KY7-002) $ 465,071 DoD HPCMO/ MSU Integrated Modeling and Test Core

10

$ 851,517 DoD HPCMO/ MSU Signal and Image Processing Core $ 113,500 DoD HPCMO/ MSU SIP Codes from Desktop on HPC (SIP-KY6-

001) $ 123,500 DoD HPCMO/ MSU Parallel Extensions to HLL (PIM-KY6-001) $ 93,500 DoD HPCMO/ MSU Uni to Multiprocessor Code Transitions (IMT-

KY6-002) $ 112,313 Air Force New Initiatives in HPC $ 2,139,348

Research Funding History (PI or Co-PI):

From 01/01/87 to 05/31/08 Total Dollars: $16,957,779 Funding as Principal Investigator

From 01/01/87 to 05/31/08 Total Dollars: $12,860,527

1. Mississippi State University, PI, Ahalt, Stanley, Award: GRT869436 40282, 01-Jun-01 to 31-May-08, “High Performance Computing Modernization Program,” $7,209,190.

2. Mississippi State University, PI, Ahalt, Stanley, Award: GRT869436 40282, 01-Jun-04 to 31-May-08, “High Performance Computing Modernization Program. Comp 2, Task 8,” $940,196.

3. Mississippi State University, PI, Ahalt, Stanley, Award: GRT869436 14450, 01-Jun-01 to 31-May-04, “High Performance Computing Modernization Program. Comp 2, Task 8,” $2,228,391.

4. Mississippi State University, PI, Ahalt, Stanley, Award: GRT869436 14450, 01-Jun-01 to 31-May-04, “High Performance Computing Modernization Program,” $1,266,651.

5. E-Systems Corporation, PI, Ahalt, Stanley, Award: 864138 14450, 20-Aug-97 to 09-Aug-01, “High Performance Computing Modernization Program (HPCMP),” $209,862.

6. Mission Research Corporation, PI, Ahalt, Stanley; Award: 865980 14450, 30-Jun-98 to 01-Nov-00, “Unified Design of 1-Dimensional Automatic Target Recognition Systems for Surveillance and Attack,” $97,725.

7. Air Force Office of Scientific Research, PI, Ahalt, Stanley, Award: 865085, 01-Aug-97 to 31,-Dec-99, HRR (High Range Resolution) TOS/TOM (Train-On-Synthetic/Test- On-Measured) Features and Classifiers using Boundary Methods,” $119,393.

8. Sverdrup Technologies, Inc., PI, Ahalt, Stanley, Award: 864340 14450, 04-Oct-96 to 31-Dec-99, “Feature Set Evaluation and Assessment,” $187,252.

9. W. J. Schafer Associates, Inc., PI, Ahalt, Stanley, Award: 863990 14450, 29-Jan-96 to 27-Apr-98, “Image Processing and Pattern Recognition Tools for Satellite Imaging,” $85,706.

10. Ohio Aerospace Institute, PI, Ahalt, Stanley, Award: 761546 14450, 01-Apr-95 to 30-Sep-96, “An Integrated Approach to Feature-based Automatic Target Recognition (ATR),” $71,698.

11. Veda, Inc., PI, Ahalt, Stanley, Award: 769260 14450, 12-Apr-93 to 12-Jul-94, “Extraction and Data Compression for Automatic Radar Target Identification,” $129,147.

12. Ohio Aerospace Institute, PI, Ahalt, Stanley; Award: 761546 14450, 15-Sep-93 to 22-May-95, “Exploiting Angular Diversity in the Detection and Classification of Wide- Angle SAR (Synthetic Aperture Radar) Images,” $51,958.

11

13. John Glenn Research Center – Lewis Field, PI, Ahalt, Stanley, Award: 768241 14450, 01-Apr-90 to 31-Dec-93, “Video Data Compression using Neural Networks,” $218,439.

14. Cray Research, Inc., PI, Ahalt, Stanley, Award: 766446, 01-Nov-87 to 31-Dec-89, “Research and Development Agreement with Cray Research, Inc.,” $44,919.

Funding as Co-Principal Investigator

From 01/01/87 to 02/09/07 Total Dollars: $4,097,252

1. Raytheon Company, PI, Gordon, Steven, Co-PI, Ahalt, Stanley;, Award: GRT962353 40282, 20-Jan-04 to 23-Jul-04, “Next Generation IOSA Ground Companion Study Support,” $20,000 .

2. Air Force Material Command, PI, Moses, Randolph, Co-PI, Ahalt, Stanley, Award: GRT 864623 14450, 21-Feb-00 to 31-May-02, “Feature Extraction using Attributed Scattering Center Models for Model- based Automatic Target Recognition,” $139,987.

3. E-Systems Corporation, PI, Bender, Charles, Co-PI, Ahalt, Stanley, Award: 864138 40280, 20-Aug-97 to 09-Aug-00, “High Performance Computing Modernization Program (HPCMP),” $1,337,412 .

4. Cray Research, Inc., PI, Bender, Charles, Co-PI, Ahalt, Stanley, Award: 766446 40280, 01-Nov-89 to 30-Sep-94, “Research and Development Agreement with Cray Research, Inc.,” $2,224,757.

5. Ohio Aerospace Institute, PI, Bibyk, Steven, Co-PI, Ahalt, Stanley; Award: 761546 14450, 01-Spe-93 to 30-Sep-96, “An Integrated Approach to Feature-based Automatic Target Recognition (ATR),” $242,587.

6. Veda, Inc., PI, Moses, Randolph, Co-PI, Ahalt, Stanley, Award: 769260 14450, 01-Nov-92 to 31-May-93, “Signal Processing and Coding for Automatic Radar Target Identification,” $59,876.

7. Veda, Inc., PI, Moses, Randolph, Co-PI, Ahalt, Stanley, Award: 769260 14450, 01-Jul-91 to 31-May-92, “High Resolution Signal Processing Techniques for Automatic Radar Target Identification,” $39,977.

8. National Science Foundation – Bioengineering & Environmental, PI, Orin, David, Award: 761227 14450. 30-Sep-1989 “Engineering Research Equipment: A High Performance Graphics Platform for Simulation, Control, and Communications with Unmanned Underwater Robotic Systems,” $32,656.

Chapters in Edited Books:

Student co-authors are indicated by † 1. Honglin Li†, Yi Zhao†, José-Luis Sancho-Gómez, and Stanley Ahalt, “Annotation, Storage, Retrieval

and Analysis of Digital Video,” Integrated Media Communication Techniques, J. F. Tasic, M. Najim, and M. Ansorge (eds), Kluwer, July 2003

2. “2D HRR Radar Data Modeling and Processing,” Junshui Ma†, Xun Du†, and Stanley C. Ahalt, Multidimensional Systems and Signal Processing Special Issue on Radar Signal Processing and Its Applications, Dec. 2002

3. “Non-linear Multi-class Discriminant Analysis” Junshui Ma†, Jose L. Sancho-Gomez, and Stanley Ahalt, IEEE Signal Processing Letters, 9 Oct. 2002

4. “Object Tracking using the Gabor Wavelet Transform and the Golden Section Algorithm,” He, C. †, Zheng, Y.F., and Ahalt, S., IEEE Transactions on Multimedia., July, 2002

5. “A Hybrid DCT-SVD Image Coding Algorithm,” Adriana Dapena and Stanley C. Ahalt, in IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 2, pp 114-121, Feb. 2002

6. D. Prabhu, S. Ahalt, and A. Krishnamurthy, “High-Performance Computing in Signal and Image Processing:, Sourcebook of Parallel Computing, Morgan Kaufman Publishers, pp. 243-248, 2002, ISBN 1-55860-871-0

12

7. José Luis Sancho†, Batu Ulug†, Aníbal Figueiras-Vidal, William Pierson† , and S. C. Ahalt, “Boundary Methods for Distribution Analysis,” Intelligent Methods in Signal Processing and Communications, F. P. Gonzalez (ed), Birkhauser, Boston, MA, 1996. (Refereed)

8. Aristedes S. Galanopolous†, James E. Fowler, Jr.†, and Stanley C. Ahalt, “Vector Quantization using Artificial Neural Network Models,” Signal Processing in Telecommunications, E. Biglieri and M. Luise (eds), Springer Verlag, London, pp. 346-357, 1996, (Invited and refereed)

9. Stanley C. Ahalt, Stuart A. Collins†, Ashok K. Krishnamurthy, and Daniel F. Stewart†, “Optical Implementation of Closest Vector Selection, Neural Networks: Applications and Implementation,” Neural Networks, Omid Omidvar (ed.), Ablex Publishers, 1994, (Invited and refereed)

10. Stanley C. Ahalt, Tzyy-Ping Jung†, and Ashok K. Krishnamurthy, “A Comparison of MLP and FSCL-LVQ Neural Networks for Vowel Classification,” Neural Networks, vol. III, pp. 124-143, Prentice Hall, 1991 (Invited)

11. S. C. Ahalt, F. D. Garber, I. Jouny†, and A. K. Krishnamurthy, “Performance of Synthetic Neural Network Classification of Noisy Radar Signals,” Advances in Neural Information Processing Systems, Morgan Kaufman, New York, vol. 1, pp 281-288, 1989, (Refereed)

Bulletins and Technical Reports:

1. S. Ahalt, S. Graves, D. Keyes, H. Neeman, T. Sterling. Final Report of the Arkansas Cyberinfrastructure Initiative External Advisory Committee, January, 2008. http://comp.uark.edu/~aapon/EACReportFINALv1.pdf

2. Nehrbass, J. Chaves, S. Ahalt and A. Krishnamurthy, “MatlabMPI Compilation Technology Report,” submitted for publication on the Online Knowledge Center (OKC), January 31, 2005

3. S. C. Ahalt, A. K. Krishnamurthy, J.W. Nehrbass, and J.C. Chaves, “Support for ATR Programs” PA Document Number- ASC 04-1793, Disposition Date-8 December 2004

4. A.K. Krishnamurthy, S. C. Ahalt, J.W. Nehrbass and J. C. Chaves, “High Productivity Computing for SIP,” PA Document Number- ASC 04-1758, Disposition Date- 17 November 2004

5. S.C. Ahalt, A.K. Krishnamurthy, J. W. Nehrbass, and J. C. Chaves, “Signal Mining, Fusion and Validation,” PA Document Number- ASC 04-1755, Disposition Date-17 November 2004

6. S. C. Ahalt and T. P. Jung, “Large Neural Networks: Simulation and Analyses,” Final Report, Cray Research, Inc. April 1990

7. S. C. Ahalt, P. Chen, and T. P. Jung, “The Design of the Neural Shell,” Final Report, Cray Research, Inc., December 1988

8. J. F. Leathrum, S. C. Ahalt, “Ada Compiler Rehosting: A Planning Project Final Report,” Clemson University, Southeastern Center for Electrical Engineering Education, July 1985

9. S. C. Ahalt,” HDLC Interfaces for Two Microprocessors’, Bell Telephone Laboratory Technical Report, January 1981

10. S. Ahalt, “Characterizing the Propagation Medium using a Dual Polarized Communications Receiver,” NASA Final Project Report, August 1980

Peer Reviewed Journal Articles:

Student co-authors are indicated by †. 1. Kepner, Jeremy, Ahalt, Stan, “MatlabMPI,” Journal of Parallel and Distributed Computing, vol, 64,

issue 8, August 2004, pp 997-1005 2. Ma, Junshui†, Krishnamurthy, Ashok, and Ahalt, Stanley, “SVM Training with Duplicated Samples

and its Application in SVM-based Ensemble Methods,” Neurocomputing, vol. 61, pp. 4555-459, 2004 3. Junshui Ma†, Xun Du†, Stanley C. Ahalt, “2D HRR Radar Data Modeling and Processing,”

Multidimensional Systems and Signal Processing, 14, 25-48, 2003, Kluwer Academic Publishers. 4. Junshui Ma†, Jose L. Sancho-Gomez, and Stanley C. Ahalt, “Non-linear Multi-class Discriminant

Analysis,” IEEE Transactions on Signal Processing Letters, July, 2003

13

5. C. He†, Y.F. Zheng, and S.C. Ahalt, “Object Tracking using the Gabor Wavelet Transform and the Golden Section Algorithm,” IEEE Transactions on Multimedia, Vol. 4, No. 4, December, 2002, pp. 528-538

6. Junshui Ma†, Xun Du†, and Stanley C. Ahalt, “2D HRR Radar Data Modeling and Processing,” Multidimensional Systems and Signal Processing Special Issue on Radar Signal Processing and Its Applications, Dec. 2002

7. Adriana Dapena and Stanley C. Ahalt, “A Hybrid DCT-SVD Image Coding Algorithm,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, no. 2, pp 114-121, Feb. 2002

8. Junshui Ma†, Jose L. Sancho-Gomez, and Stanley Ahalt, “Non-linear Multi-class Discriminant Analysis, IEEE Signal Processing Letters, 9 Oct. 2002

9. He, C. †, Zheng, Y.F., and Ahalt, S., “Object Tracking using the Gabor Wavelet Transform and the Golden Section Algorithm,” IEEE Transactions on Multimedia., July, 2002

10. J. L. Sancho, William E. Pierson†, Batu Ulug, Stanley C. Ahalt, and A. R. Figueiras-Vidal, “Class Separability Estimation and Incremental Learning using Boundary Methods,” Neurocomputing, vol. 35, no. 1-4, pp 3 –26, Nov., 2000

11. M. J. Collins† and A. K. Krishnamurthy and S. C. Ahalt, “Generating Gestural Scores from Articulatory Data using Temporal Decomposition,” IEEE Transactions on Speech and Audio Processing, vol. 7, no. 2, pp. 230-234, March, 1999

12. Xun Du †, Stanley C. Ahalt, and Bruce E. Stribling, “3-D Orientation Vector Estimation for Sub-Components of Space Object Imagery,” Optical Engineering, Special Issue on Advances in Recognition Techniques, March, 1998

13. M. Hisham Choueiki † , Clark A. Mount-Campbell, and Stanley C. Ahalt, “Implementing a Weighted Least Squares Procedure to Solve the Short-Term Load Forecasting Problem with Neural Networks,” IEEE Transactions on Power Systems, vol. 12, no. 4, pp. 1689-1694, November 1997

14. M. Hisham Choueiki †, Clark A. Mount-Campbell, and Stanley C. Ahalt, “Building a Quasi Optimal Neural Network to Solve the Short-Term Load Forecasting Problem,” IEEE Transaction on Power Systems, vol. 12, no. 4, pp. 1432-1439, November 1997

15. Batuhan Ulug †, Stanley C. Ahalt and Rick Mitchell, “Efficient ATR using Compression,” IEEE Transactions on Aerospace and Electronic Systems, vol. 33, no. 4, pp. 1199-1211, October 1997

16. Aristedes S. Galanopoulos † , Randolph L. Moses, and Stanley C. Ahalt, “Diffusion Approximation of Frequency Sensitive Competitive Learning," IEEE Transactions on Neural Networks, vol. 8, no. 5, pp. 1026-1030, September 1997

17. L. R. Flake †, S. C. Ahalt, and A. K. Krishnamurthy, “Detecting Anisotropic Scattering with Hidden Markov Models,” IEEE Proceedings: Radar, Sonar and Navigation, vol. 144, no. 2, pp. 81-86, April 1997

18. Tzyy-Ping Jung†, Ashok K. Krishnamurthy, Stanley C. Ahalt, Mary E. Beckman, and Sook-hyang Lee † , “Deriving Gestural Scores from Articulator-Movement Records using Weighted Temporal Decomposition,” IEEE Transactions on Speech and Audio Processing, vol. 4, no. 1, pp. 2-18, January 1996

19. James R. Whiteley †, James F. Davis, Amit Mehrotra†, and Stanley C. Ahalt, “Observations and Problems Applying ART2 for Dynamic Sensor Pattern Interpretation,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 26, no. 4, pp. 423-437, July 1996

20. Aristedes S. Galanopoulos† and Stanley C. Ahalt, “Codeword Distribution for Frequency Sensitive Competitive Learning with One Dimensional Input Data,” IEEE Transactions on Neural Networks, vol. 7, no. 3, pp. 752-756, May 1996

21. DeLiang Wang, Xiaomei Liu† , and Stanley C. Ahalt, “On Temporal Generalization of Simple Recurrent Networks,” Neural Networks, vol. 9, no. 7, pp. 1099-1118, 1996

22. James E. Fowler† , Kenneth C. Adkins†, Steven B. Bibyk and Stanley C. Ahalt, “Real-Time Video Compression using Differential Vector Quantization,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 5, no. 1, pp. 14-24, February 1995

14

23. Mary E. Beckman, Tzyy-Ping Jung†, Sook-hyang Lee†, Kenneth de Jong, Ashok K. Krishnamurthy, Stanley C. Ahalt, K. Bretonnel Cohen†, and Michael J. Collins†, “Variability in the Production of Quantal Vowels Revisited,” Journal of the Acoustical Society of America, vol. 97, no. 1, pp. 471-491, January 1995

24. Daniel F. Stewart†, Lee C. Potter, and Stanley C. Ahalt, “Computationally Attractive Real Gabor Transforms,” IEEE Transactions on Signal Processing, vol. 43, pp. 77-84, January 1995

25. Matthew J. Sheridan†, Stanley C. Ahalt, and David E. Orin, “Fuzzy Control for Robotic Power Grasp,” Journal of Advanced Robotics, vol. 9, pp. 435-546, October 1995

26. Mark D. Hanes†, Stanley C. Ahalt, and Ashok K. Krishnamurthy, “Acoustic to Phonetic Mapping using Recurrent Neural Networks,” IEEE Transactions on Neural Networks, vol. 5, no. 4, pp. 659-662, July 1994

27. I. Jouny, F. D. Garber, and S. C. Ahalt, “Classification of Radar Targets using Synthetic Neural Networks,” IEEE Transactions on Aerospace and Electronics Systems, vol. 29, no. 2, pp. 336-344, 1993

28. Stuart A. Collins, Stanley C. Ahalt, Ashok K. Krishnamurthy, and Daniel Stewart†, “Optical Implementation and Applications of Closest Vector Selection in Neural Networks,” Applied Optics - Special Issue on Neural Networks, vol. 32, no. 8, pp. 1297-1303, 1993

29. James E. Fowler†, Matthew R. Carbonara†, and Stanley C. Ahalt, “Image Coding using Differential Vector Quantization,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 3, no. 5, pp. 350-367, 1993

30. Stanley C. Ahalt, James F. Leathrum, “A Code Generation Methodology using Tree Parsers and High-Level Intermediate Representations,” Journal of Programming Languages, Chapman and Hall Publishers, London, vol. 1, pp. 103-126, 1993

31. Stanley C. Ahalt, Prakoon Chen†, Cheng-Taou Chou†, Suresh Kuttuva†, and Thomas E. Little†, “The Neural Shell: A Neural Network Simulation Tool,” International Journal for Engineering Applications of Artificial Intelligence, Special Issue on Neural Networks and Parallel Processing, vol. 5, no. 3, pp. 183-192, 1992

32. Stanley C. Ahalt, Prakoon Chen†, Cheng-Taou Chou†, and Tzyy-Ping Jung†, “Implementation of a Vector Quantization Codebook Design Technique Based on a Competitive Learning Artificial Neural Network,” The Journal of Supercomputing, no. 5, pp. 307-330, 1992

33. Mark D. Hanes†, Stanley C. Ahalt, Khalid Mirza†, and David E. Orin, “Power Grasp Force Distribution Control using Artificial Neural Networks,” The Journal of Robotic Systems, vol. 9, no. 5, pp. 635-661, 1992

34. Christopher Mills†, Stanley C. Ahalt, and Jim Fowler†, “Compiled Instruction Set Simulation,” The Journal of Software-Practice and Experience, vol. 21, no. 8, pp. 877-899, March 1991

35. Ashok K. Krishnamurthy, Stanley C. Ahalt, Douglas E. Melton†, and Prakoon Chen†, “Neural Networks for Vector Quantization of Speech and Images,” IEEE Journal on Selected Areas in Communication, vol. 8, no. 8, pp. 1449-1457, October 1990

36. Stanley C. Ahalt, Ashok K. Krishnamurthy, Prakoon Chen†, and Douglas E. Melton†, “Competitive Learning Algorithms for Vector Quantization” Neural Networks vol. 3 no. 3, pp. 277-290, May 1990

Editor Reviewed Journal Articles:

Student co-authors are indicated by † 1. S. Ahalt, “SIP Forum 2000” in ASC MSRC Journal, vol. 4.2, Fall, 2000, p.21 (edited journal). 2. M. D. Hanes†, S. C. Ahalt, K. Mirza, and D. E. Orin, “The use of ANN for Robot Grasping Control,”

Visions, Issue 3.4, pp. 7-11, Fall 1990. (Visions is the quarterly publication of the Ohio Supercomputer Center.)

3. D. Olson, S. C. Ahalt, R. Barga, and G. Wilcox, “Artificial Neural Network Simulation on Cray Systems,” Cray Channels, vol. 11, no. 2, pp. 20-23, 1989. (Cray Channels is a publication of Cray Research, Inc.)

15

4. M. D. Hanes† and S. C. Ahalt, “Cray Supercomputers and Neural Networks,” Visions, Issue 3.3, pp. 12-15, Summer 1990. (Visions is the quarterly publication of the Ohio Supercomputer Center.)

Submitted:

Student co-authors are indicated by † 1. Yi Zhao†, Jianyu Dong, and Stanley C. Ahalt, “Joint Optimization of Retransmission and Error

Concealment for 3-D Zerotree Wavelet Video Streaming Applications,” IEEE Trans on Multimedia (MM), August 2005, under revision.

2. Yi Zhao†, Jianyu Dong, and Stanley C. Ahalt, “Optimal Temporal Packet Interleaving for 3-D Zerotree Wavelet Video Streaming Over Burst Lossy Networks,” IEEE Trans on Circuits and Systems for Video Technology (CSVT), August 2005, under revision.

Papers in Proceedings:

Student co-authors are indicated by † 1. B. Guilfoos, S. Samsi, J. Chaves, J. Unpingco, J. Nehrbass, A. Chalker, S. Ahalt, A. Krishnamurthy.

“Web interface for querying/searching RDF database,” Proceeding of the HPCMP Users Group Conference, 2007.

2. B. Elton, J. Nehrbass, S. Ahalt, J. Gardiner, L. Humphrey. “The SIP High Productivity Toolset for Parameter Sweeps and Monte Carlo Runs,” Proceedings of the HPCMP Users Group Conference 2007, HPCMP: A Bridge to Future Defense, June 18-21, 2007.

3. J. Gardiner, L. Humphrey, J. Unpingco, S. Ahalt. "Computationally Intensive SIP Algorithms on HPC,” HPCMP Users Group Conference 2007, Pittsburgh, PA, June 18-21, 2007.

4. Brian Guilfoos, Judy Gardiner, Juan Carlos Chaves, John Nehrbass, Stanley Ahalt, Ashok Krishnamurthy, Jose Unpingco, Alan Chalker, Laura Humphrey, and Siddharth Samsi , “Applications in Parallel MATLAB”, HPCMP Users Group Conference (HPCMP-UGC'06)

5. H. Li and S. Ahalt, “Hierarchical Institution for Video Annotation,” IEEE International Conference on Electro and Information Technology, May, 2005, Lincoln, NE.

6. Yi Zhao, Ahalt, S.C., Jianyu Dong, “Optimal Interleaving for 3-D Zerotree Wavelet Video Packets Over Burst Lossy Channels” Proceedings. (ICASSP apos;05). IEEE International Conference on Acoustics, Speech, and Signal Processing, Volume 2, Issue , March 18-23, pp. 333 – 336, 2005.

7. H. Li, Y. Zhao, and S. Ahalt, “High-Level Video Annotation using a Syntactic Approach,” International Conference on Computing, Communications, and Control Technologies: CCT’04, August, 2004, Austin, TX.

8. H. Li, Y. Zhao, and S. Ahalt, “Hierarchical Video Semantic Annotation – The Vision and Techniques,” International Conference on Computing, Communications, and Control Technologies: CCT’04, August, 2004, Austin, TX.

9. P. Khot†, A. K. Krishnamurthy, S. C. Ahalt, J. W. Nehrbass, and J. C. Chaves, “A Parallel Data Mining Toolbox using Matlab/MPI,” Proceedings of the High Performance Embedded Computing Workshop (HPEC 2003), September 23-25, 2003, MIT Lincoln Laboratory, Lexington, MA

10. J. Nehrbass, M. Soumekh, S. Ahalt, A. K. Krishnamurthy, “Parallel Performance of Pure M-files versus C-code as Applied to Formation of Wide-Bandwidth and Wide-Beamwidth SAR Imagery,” Proceedings of the High Performance Embedded Computing workshop (HPEC 2003), September 23-25, 2003, MIT Lincoln Laboratory, Lexington, MA

11. J. Kepner and S. Ahalt, “Parallel Image Processing with MatlabMPI,” DOD HPCMP User's Group Conference, June 12, 2003, Bellevue, WA

12. Junshui Ma†, Simon Perkins, and James Theiler Stanley Ahalt, “Modified Kernel-based Nonlinear Feature Extraction,” Proceedings of the 2002 International Conference on Machine Learning and Applications (ICMLA'02), Las Vegas, USA, June 24-27, 2002

16

13. J. C. Chaves, H. Li†, Y. Zhao†, and S. C. Ahalt, “Video Markup Language (VideoML) - an XML-based Markup Language for Video Annotation and Analysis,” Proceedings of the 2002 HPCMO Users Group Conference, June 18-21, 2002 Austin, TX

14. Honglin Li†, Yi Zhao†, José-Luis Sancho-Gómez and Stanley C. Ahalt, “Spatio-temporal Structure Analysis on Motion Imagery using a Syntactic Approach” Proceedings of the World Affairs Congress, June 12-14, 2002, Orlando, FL

15. H. Li†, J. Ma†, Y. Zhao†, and S. C. Ahalt, “Kernal-based Feature Extraction,” Proceedings of SPIE Vol. 4726, Automatic Target Recognition XI, Aerosense, April 2002, Orlando, FL

16. S. C. Ahalt, X. Du†, and H. Li†, “Content-based Image and Video Compression,” Proceedings of SPIE Vol. 4727, Algorithms for Synthetic Aperture Radar Imagery, IX, Aerosense, April 2002, Orlando, FL

17. H. Li†, J. L. Sancho Gomez, and S. C. Ahalt, “Kernal-based Discriminant Feature Extraction using Representative Data,” Proceedings of SPIE Vol. 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, Aerosense, April 2002, Orlando, FL

18. Y. Zhao†, H. Li†, and S. C. Ahalt, “ Multiclass Kernal-based Feature Extraction,” Proceedings of SPIE Vol. 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Aerosense, April 2002, Orlando, FL

19. Junshui Ma† and Stan Ahalt, “Parameter Estimation Algorithms Based on a Physics-based HRR Moving Target Model,” Proceedings of Algorithms for Synthetic Aperture Radar Imagery VII, SPIE Aerosense, April 2001, Orlando, FL

20. He, Chao / Dong, Jianyu / Zheng, Yuan F. / Ahalt, Stanley C. “Object Tracking using the Gabor Wavelet Transforms and the Golden Section Algorithm,” ICRA2001 in Seoul, Korea

21. Junshui Ma†, Honglin Li†, and Stanley C. Ahalt, “ Using Support Vector Machines as HRR Signature Classifiers” Proceedings of the 2001 SPIE Aerosense Conference, Orlando, FL, April 15-19, 2001

22. Xun Du†, Honglin Li†, and Stanley C. Ahalt, “Content-Based Image Compression,” Proceedings of the 2001 SPIE Aerosense Conference: Algorithms for Synthetic Aperture Radar Imagery VIII, Orlando, FL, April 15-19, 2001

23. H. B. Aradhye†, J. F. Davis, B. R. Bakshi, and S. C. Ahalt, “ART-2 and Multiscale ART-2 for On-line Process Fault Diagnosis - Validation via Industrial Case Studies,” Proceedings of the 4th IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries, June 7-8, 2001, Jejudo Island, Korea

24. Adriana Dapeena and Stanley C. Ahalt, “An Online Image Compression Algorithm using Singular Value Decomposition and Adaptive Vector Quantization,” Proceedings of EUSIPCO 2000, 5 – 8 September, Tampere, Finland

25. Junshui Ma† and Stan Ahalt, “Derivation of Physics-based HRR Moving Target Models,” Proceedings of Signal Processing, Sensor Fusion, and Target Recognition IX, SPIE Aerosense, April 2000, Orlando, FL

26. Junshui Ma† and Stan Ahalt, “An Analysis of Complex HRR Range Signatures” Proceedings of Targets and Backgrounds VI: Characterization, Visualization, and the Detection Process, SPIE Aerosense, April 2000, Orlando, FL

27. Stanley C. Ahalt, Xun Du†, and Adriana Dapena, “Content-Based Image Compression for ATR Applications,” Proceedings of Algorithms for Synthetic Aperture Radar Imagery VII, SPIE Aerosense, April 2000, Orlando, FL

28. X. Du†, J. Ma†, S. C. Ahalt, and B. E. Stribling, “Eigen-indexing in Satellite Recognition,” Conference on “Automatic Target Recognition IX, SPIE's AeroSense `99, Orlando, Florida, April 5-9, 1999

29. Loevenbruck, H., Collins, M. J†, Beckman, M. E., Krishnamurthy, A.K., and Ahalt, S.C.(1999). “An Investigation of the Temporal Coordination of Articulatory Gestures in Consonant Clusters and Sequences of Consonants,” O. Fujimura, B. D. Joseph, & B. Palek, eds., Proceedings of LP'98, pp. 547-73. Prague: The Karolinum Press.

17

30. B. Ulug and S. C. Ahalt, “HRR ATR using VQ Classification” Conference on Automatic Target Recognition IX, SPIE's AeroSense `99, Orlando, Florida, April 5-9, 1999

31. M. Qasem†, X. Du†, and S. C. Ahalt, “Efficient Codebook Search for Vector Quantization: Exploiting Inherent Codebook Structure,” Conference on Visual Information Processing VIII, SPIE's AeroSense `99, Orlando, Florida, April 5-9, 1999

32. W. E. Pierson†, B. Ulug, and S. C. Ahalt, “Boundary Methods for Mode Estimation,” Conference on Algorithms for Synthetic Aperature Radar Imagery VI, SPIE AeroSense `99, Orlando, Florida, April 5-9, 1999

33. H. Loevenbruck and M. Collins† and M. Beckman and A. Krishnamurthy and S. C. Ahalt, “Syllable Structure and Gesture Timing,” Proceedings of Linguistics and Phonetics, Columbus, OH, Sept 19-20, 1998

34. J. L. Sancho†, W. E. Pierson†, B. Ulug†, S. C. Ahalt, and Figueiras-Vidal, A.R. “Feature Set Evaluation and Robust Neural Networks using Boundary Methods,” Proceedings of the World Multiconference on Systems, Cybernetics, and Informatics and The International Conference on Information Systems Analysis and Synthesis, Orlando, FL, July 12 - 16, 1998

35. Stanley Ahalt and Xun Du† and Bruce Stribling, “Advanced Techniques for Estimating and Refining Orientation Vectors of Space Object Imagery,” Proceedings of the 1998 Space Control Conference, Lexington, MA, April, 1998

36. Stanley Ahalt and Xun Du† and Bruce Stribling, “Estimating and Refining Orientation Vectors for Sub-Components of Space Object Imagery,” Proceedings of the 1998 SPIE Conference on Automatic Target Recognition, Orlando, FL, April, 1998

37. B. Pierson†, B. Ulug†, S. C. Ahalt, J. L. Sancho† and A. Figueiras-Vidal, “Theoretical and Complexity Issues for Feature Set Evaluation using Boundary Methods,” Proceedings of the 1998 SPIE Conference on Automatic target Recognition VII, ATR Theory and Performance Estimation, April 13 - 17, 1998, Orlando, FLA.

38. X. Du†, S. C. Ahalt, and Bruce Stribling, “Advanced Techniques for Estimating & Refining Orientation Vectors of Space Object Imagery,” Proceedings of the 16th MIT/LL Space Control Conference, Apr. 15, 1998

39. X. Du†, S. C. Ahalt, and Bruce Stribling, “Estimating and Refining Orientation Vectors for Sub-Components of Space Object Imagery,” Proceedings of SPIE vol.3371, (Orlando, FLA), Apr. 13, 1998

40. X. Du†, S. C. Ahalt, and B. Stribling, “3-D Orientation Vector Estimation for Sub-components of Space Object Imagery” Proceedings of the 1997 MIT/LL Space Control Conference, pp. 110-128, Lexington, MA, March 25-27, 1997 (refereed)

41. B. Pierson†, B. Ulug†, S. C. Ahalt, J. L. Sancho† and A. Figueiras-Vidal, “Using Boundary Methods as Ordering Indices on ATR Feature Sets,” Proceedings of the 1997 SPIE Conference on Automatic Target Recognition VII, ATR Theory & Performance Estimation, vol. 3070, pp. 173-184, Orlando, FL, April 1997 (abstract refereed)

42. J. E. Fowler† and S. C. Ahalt, “Adaptive Vector Quantization of Image Sequences using Generalized Threshold Replenishment,” Proceedings of the IEEE ICASSP, pp. 3085-3088, Berlin, Germany, April 1997 (refereed)

43. J. E. Fowler† and S. C. Ahalt, “Image-Sequence Coding with Generalized Threshold Replenishment - A New Algorithm For Adaptive Vector Quantization,” Proceedings of the 1997 SPIE Conference on Visual Information Processing, vol. 3074, pp. 64-71, Orlando, FL, April 1997 (abstract refereed)

44. X. Du†, J. Zhao†, S. C. Ahalt and B. Stribling, “3-D Orientation Vector Estimation for Sub-components of Space Object Imagery,” Proceedings of the 1997 SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition, pp. 395-405, Orlando, FL, April 1997 (abstract refereed)

45. J. E. Fowler† and S. C. Ahalt, “Adaptive Vector Quantization using Generalized Threshold Replenishment,” Proceedings of the 1997 Data Compression Conference, pp. 317-326, Snowbird, UT, March 1997 (refereed)

18

46. J. L. Sancho†, A. R. Figueiras, B. Ulug†, W. Pierson†, and S. C. Ahalt, “Distribution Analysis using Boundary Methods,” Proceedings of the 1996 IEE Conference on Mathematics in Signal Processing, University of Warwick, England, December 17-19, 1996 (refereed)

47. M. D. Hanes†, D. E. Orin, and S. C. Ahalt, “Fuzzy and Neural Network Control of Object Acquisition for Power Grasp,” Proceedings of the 1996 SPIE Conference on Applications and Science of Artificial Neural Networks II, vol. 2760, pp. 262-272, Orlando, FL, April 1996 (abstract refereed)

48. J. Zhao†, S. C. Ahalt, and B. E. Stribling, “3-D Orientation Vector Estimation from Satellite Imagery,” Proceedings of the 1996 SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition (Ivan Kadar, Chair), vol. 2755, pp. 472-483, Orlando, FL, April 1996 (abstract refereed)

49. Batu Ulug†, S. C. Ahalt, and R. L. Mitchell, “Model-Catalog Compression for Radar Target Recognition,” Proceedings of the 1995 ICASSP, pp. 3479-3482, Detroit, MI, May 1995 (refereed)

50. Hung-Chih Chiang†, Randolph L. Moses, Lee C. Potter, and Stanley C. Ahalt, “Analysis and Modification of Linear Correlators for Image Pattern Classification,” Proceedings of the 1995 ICASSP, Detroit, MI, May 1995 (refereed).

51. H-C. Chiang†, R. L. Moses, L.C. Potter, S. C. Ahalt, “Statistical Properties of Linear Correlators for Image Pattern Classification with Application to SAR Imagery,” Proceedings of the SPIE Conference on Synthetic Aperture Radar Imagery II, (Dominick A.Giglio, Chair), vol. 2490, pp. 266-277, Orlando, FL, April 1995 (abstract refereed)

52. L. Flake†, A. K. Krishnamurthy, and S. C. Ahalt, “Multi-aperture SAR Target Detection using Hidden Markov Models,” Proceedings of the SPIE Conference on Synthetic Aperture Radar Imagery II, (Dominick A. Giglio, Chair), pp. 300-311, Orlando, FL, April 1995 (abstract refereed)

53. Batuhan Ulug†, Jun Zhao†, and Stanley C. Ahalt, “The Use of Radial Basis Function Classifiers for SAR Data,” Proceedings of the SPIE Conference on Signal processing, Sensor Fusion, and Target Recognition IV, (Ivan Kadar, Chair), pp. 583-594, Orlando, FL, April 1995 (abstract refereed)

54. Xiaomei Liu†, DeLiang Wang, and Stanley C. Ahalt, “On the Temporal Generalization Capability of Simple Recurrent Networks,” Proceedings of the 1995 SPIE Conference on Applications and Science of Artificial Neural Networks IV, (Steve Rogers, Chair), pp. 392-403, Orlando, FL, April 17-21, 1995 (invited)

55. J. E. Fowler†, and S. C. Ahalt, “Differential Vector Quantization of Real-Time Video,” Proceedings of the IEEE International Conference on Neural Networks, Orlando, FL, June 28-July 2, 1994 (abstract refereed)

56. J. E. Fowler†, K. C. Adkins†, S. B. Bibyk, and S. C. Ahalt, “Differential Vector Quantization of Real-Time Video using Entropy-biased ANN Codebooks,” Proceedings of the IEEE International Conference on Neural Networks, vol. 3, pp 1871-1876, Orlando, FL, June 28-July 2, 1994 (invited)

57. M. D. Hanes†, S. C. Ahalt, and D. E. Orin, “Intelligent Control of Object Acquisition for Power Grasp,” IEEE International Symposium on Intelligent Control, pp. 303-308, Columbus, OH, August 1994 (invited)

58. S. C. Ahalt and J. E. Fowler†, “Real-time Video Compression using Entropy-biased ANN Codebooks,” Proceedings of the SPIE Conference on Applications of Neural Networks, vol. 2243, pp 254-265, Orlando, FL, April 1994 (invited)

59. J. E. Fowler†, and S. C. Ahalt, “Differential Vector Quantization of Real-Time Video,” Proceedings of the IEEE Data Compression Conference, pp. 205-214, Snowbird, UT, March 29-31, 1994 (refereed)

60. C. H. Ying, S. C. Ahalt and R. L. Moses, “Maximum Likelihood Parameter Estimation of Exponential Signals using Artificial Neural Networks,” Proceedings of the World Conference on Neural Networks, Portland, OR, July 12-16, 1993 (refereed)

61. S. C. Ahalt and J. E. Fowler†, “Vector Quantization using Artificial Neural Network Models,” Proceedings of the International Workshop on Adaptive Methods and Emergent Techniques for Signal Processing and Communications, pp. 42-61, Bayona, Spain, June 16-18, 1993 (invited)

19

62. J. E. Fowler†, M. R. Carbonara†, and S. C. Ahalt, “Robust High-Fidelity Coding Technique Based on Entropy Biased ANN Codebooks,” Proceedings of the SPIE Conference on the Science of Artificial Neural Networks II, pp. 109-117, Orlando, FL, April 1993 (invited)

63. D. Hermann†, S. C. Ahalt, and R. Mitchell, “Clustering and Compression of High-Dimensional Sensor Data,” Proceedings of the SPIE Conference on Signal Processing, Sensor Fusion, and Target Recognition II, pp. 286-297, Orlando, FL, April 1993 (abstract refereed)

64. E. Fowler†, and S. C. Ahalt, “Robust Variable Bit-rate Coding using Entropy Biased Codebooks,” Proceedings of the IEEE Data Compression Conference, pp. 361-370, Snowbird, UT, March 30 - April 1, 1993, (refereed)

65. S. Chakravarti†, T. Little†, and S. C. Ahalt, “Real-Time Causal Edge Detector Based on Edge Prediction,” International Digital Signal Processing Applications and Technology, Cambridge, MA, November 2-5, 1992

66. Tom E. Little†, and S. C. Ahalt. “A User Customizable X Window System Interface for Neural Network Simulation,” Proceedings of the IEEE Conference onTools for Artificial Intelligence, pp. 456-457, Herndon, VA, November 10-13, 1992 (refereed)

67. S. Chakravarti†, T. Little†, and S. C. Ahalt, “A Real-Time Causal Edge Detector Based on Prediction,” Proceedings of the Canadian Conference on Electrical and Computer Engineering, pp. MA3.10.1-MA3.10.4, Toronto, Canada, September 13-16, 1992 (refereed)

68. M. R. Carbonara†, J. E. Fowler†, and S. C. Ahalt, “Compression of Digital Video Data using Artificial Neural Network Differential Vector Quantization,” Proceedings of the Society of Photo-Optical Instrumentation Engineers, Orlando, FL, April 1992 (abstract refereed)

69. A. K. Krishnamurthy, S. B. Bibyk and S. C. Ahalt, “Video Data Compression using Artificial Neural Network Differential Vector Quantization,” Proceedings of the Space Communications Technology Conference, pp. 95-101, Cleveland, OH, November 1991

70. S. Chakravarti†, T. P. Jung†, S. C. Ahalt, and A. K. Krishnamurthy, “Comparison of Prediction Methods for Differential Image Processing Applications,” Proceedings of the IEEE International Conference on Systems Engineering, pp. 210-213, Dayton, OH, August 1991

71. M. D. Hanes†, S. C. Ahalt, and D. E. Orin, “Design of a Neural Network Power Grasp Controller,” Mechanics Computing in the 1990's and Beyond: Proceedings of the ASCE Engineering Mechanics Specialty Conference, vol. 1, pp. 73-77, Columbus, OH, May 1991

72. S. Ahalt, “Vector Quantization using Artificial Neural Network Models,” Proceedings of the International Workshop on Adaptive Algorithms: Applications and Nonclassical Schemes, pp. 111-130, Bayona, Spain, March 13-15, 1991 (invited)

73. M. D. Hanes†, S. C. Ahalt, K. Mirza†, and D. E. Orin, “Neural Network Control of Force Distribution for Power Grasp,” Proceedings of the IEEE International Conference on Robotics and Automation, pp. 746-751, Sacramento, CA, April 7-12, 1991 (refereed)

74. S. C. Ahalt, P. Chen†, and C. T. Chou†, “The Neural Shell: A Neural Network Simulation Tool,” Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, pp. 118-124, Herndon, VA, November 6-9, 1990 (refereed)

75. S. A. Collins, A. K. Krishnamurthy, D. Stewart†, and S. C. Ahalt, “An Optical System for Closest Vector Selection with Applications to Neural Networks,” Proceedings of the 15th Congress of the International Commission for Optics in Complex Systems, SPIE vol. 1319, pp. 204-205, Garmisch-Partenkirchen, Germany, August 5-10, 1990 (refereed)

76. S. C. Ahalt, T. P. Jung†, and A. K. Krishnamurthy, “A Comparison of Radar Signal Classifiers,” Proceedings of the IEEE International Conference on Systems Engineering, pp. 609-612, Pittsburgh, PA, August 1990

77. T. P. Jung†, A. K. Krishnamurthy, and S. C. Ahalt, “The Effects of Distortion Measures and Feature Sets on Neural Network Classifiers,” Proceedings of the International Joint Conference on Neural Networks, pp. 251-256, San Diego, CA, June 1990 (refereed)

20

78. M. D. Hanes†, S. C. Ahalt, K. Mirza†, and D. E. Orin, “A Neural Network Interface to the DIGITS System,” Proceedings of the International Joint Conference on Neural Networks, pp. 343-348, San Diego, CA, June 1990 (refereed)

79. A. K. Krishnamurthy, S.C. Ahalt, P. Chen†, and D. Melton†, “Vector Quantization using Frequency Sensitive Competitive Learning Neural Networks,” Proceedings of the IEEE International Conference on Systems Engineering, pp. 131-134, Dayton, Ohio, August, 1989

80. S. C. Ahalt, T. P. Jung†, and A. K. Krishnamurthy, “Radar Target Identification using the Learning Vector Quantization Neural Network,” Proceedings of the International Joint Conference on Neural Networks, pp. 605 (Abstract), Washington, D.C., June 1989 (refereed)

81. S. C. Ahalt, P. Chen†, and A. K. Krishnamurthy, “Performance Analysis of Two Image Vector Quantization Techniques,” Proceedings of the International Joint Conference on Neural Networks, pp. 169-175, Washington, D.C., June 1989 (refereed)

82. S. C. Ahalt and R. O. Claus, “Effect of Spherical Inclusion Defects upon Propagation of Laser Light in Isotropic Solids,” Proceedings of the IEEE 1979 Region 3 Conference, Roanoke, VA, April 1979

Unpublished Scholarly Presentations:

Conference Presentations: 1. S. Ahalt, “SIP DoD Activities,” PET User Group Conference, Denver, CO, Jun 2006 2. S. Ahalt, “Blue Collar Computing ,” Ohio Manufacturing Association meeting, Cleveland, OH, May

2006 3. S. Ahalt, “The Future of Computing,” ASTAR Federal Judges Technology Seminar, Columbus, OH,

May 2006 4. S. Ahalt, “Emerging Cyber Infrastructure Trends and Capabilities,” 2005 AICHe Conference,

Cincinnati, OH, Nov 2005 5. S. Ahalt, “Blue Collar Computing,” Intel Govt. HPC Round Table, Sundance, UT, Apr. 2005 6. S. Ahalt, “Toward a Blue Collar Computing Economy,” Keynote Speaker Supercomputing 2004 7. S. Ahalt, “Supercomputing and Homeland Security,” Summer Institute on Advanced Computation,

August 27-29, 2003 8. H. Li, Y. Zhao, and S. C. Ahalt, “Video Markup Language (VideoML) – an XML-based Markup

Language for Video Annotation and Analysis,” Proceedings of the 2002 HPCMO Users Group Conference, June 18-21, 2002, Austin, TX

9. Honglin Li, Yi Zhao, José-Luis Sancho-Gómez and Stanley C. Ahalt, “Spatio-temporal Structure Analysis on Motion Imagery using a Syntactic Approach,” Proceedings of the World Affairs Congress, June 12-14, 2002, Orlando, FL

10. H. Li, J. Ma, Y. Zhao, and S. C. Ahalt , “Kernal-based Feature Extraction,” Proceedings of SPIE Vol. 4726, Automatic Target Recognition XII, Aerosense, April 2002, Orlando, FL

11. S. C. Ahalt, X. Du†, and H. Li,, “Content-based Image and Video Compression,” Proceedings of SPIE Vol. 4727, Algorithms for Synthetic Aperture Radar Imagery, IX, Aerosense, April 2002, Orlando, FL

12. H. Li, J. L. Sancho Gomez, and S. C. Ahalt , “Kernal-based Discriminant Feature Extraction using Representative Data,” Proceedings of SPIE Vol. 4729, Signal Processing, Snsor Fusion, and Target Recognition XI, Aerosense, April 2002, Orlando, FL

13. Y. Zhao, H. Li, and S. C. Ahalt, “Multiclass Kernal-based Feature Extraction,”Proceedings of SPIE Vol. 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technolgy IV, Aerosense, April 2002, Orlando, FL

14. Junshui Ma, Simon Perkins, James Theiler and Stanley Ahalt, “Modified Kernel-based Nonlinear Feature Extraction,” Proceedings of the 2002 International Conference on Machine Learning and Applications (ICMLA'02), Las Vegas, NV, June 24-27, 2002

21

15. Junshui Ma and Stan Ahalt, “Parameter Estimation Algorithms Based On a Physics-based HRR Moving Target Model” Proceedings of Algorithms for Synthetic Aperture Radar Imagery VII, SPIE Aerosense, April 2001, Orlando, FL

16. He, Chao / Dong, Jianyu, Zheng, Yuan F., Ahalt, Stanley C. “Object Tracking using the Gabor Wavelet Transforms and the Golden Section Algorithm” ICRA2001, Seoul, Korea

17. Junshui Ma, Honglin Li, and Stanley C. Ahalt, “ Using Support Vector Machines As HRR Signature Classifiers,” Proceedings of the 2001 SPIE Aerosense Conference, Orlando, FL, April 15-19, 2001

18. Xun Du†, Honglin Li, and Stanley C. Ahalt, “Content-Based Image Compression,” Proceedings of the 2001 SPIE Aerosense Conference: Algorithms for Synthetic Aperture Radar Imagery VIII, Orlando, FL, April 15-19, 2001

19. H. B. Aradhye, J. F. Davis, B. R. Bakshi, and S. C. Ahalt, “ART-2 and Multiscale ART-2 for On-line Process Fault Diagnosis – Validation via Industrial Case Studies,” Proceedings of the 4th IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries, June 7-8, 2001, Jejudo Island, Korea

20. J. Fowler, S. Ahalt, “Variable Bit Rate Coding using Entropy Biased VQ Codebooks,” 2nd NASA Space Communications Systems Symposium, Cleveland, OH, October 1992

21. T. P. Jung, A. K. Krishnamurthy, S. C. Ahalt, K. D. DeJong, S. Lee, and M. E. Beckman, “Relating Formant Variability to Vowel Constriction Features Extracted from Pellet Positions,” 122nd meeting of the Acoustical Society of America, Journal of the Acoustical Society of America, Houston, TX, April 29 - May 3, 1992 (refereed)

22. S. C. Ahalt, A. K. Krishnamurthy, T. P. Jung, M. E. Beckman, K. D. DeJong, and S. Lee, “Translating Pellet Positions into Constriction Features,” 121st meeting Acoustical Society of America, Journal of the Acoustical Society of America, Baltimore, MD, April 29-May 3, 1991 (refereed)

23. S. A. Collins, A. K. Krishnamurthy, S. C. Ahalt and D. Stewart, “Optical Unit for Performing Closest Vector Selection for Application to Neural Networks,” annual meeting Optical Society of America, Boston, MA, November 4-9, 1990 (refereed)

24. K. Krishnamurthy, S. C. Ahalt, D. Melton, and P. Chen, “A New Neural Network Learning Algorithm for Vector Quantization,” Sixth IEEE International Workshop on Microelectronics and Photonics in Communications, Cape Cod, MA, June 1989 (refereed)

25. S. C. Ahalt, F. D. Garber, I. Jouny, and A. K. Krishnamurthy, “Performance of Synthetic Neural Network Classification of Noisy Radar Signals,” IEEE Conference on Neural Information Processing Systems, Denver, CO, November 1988 (refereed)

26. P. Chen and S. Ahalt, “The Neural Shell,” OSC Symposium on Supercomputing, Columbus, OH, September 1988

Invited and Honorary Presentations: 1. Invited presentation: “Data Intensive Computing Environments,” DICE Program Review, Cincinnati,

OH, May, 2008 2. Keynote Speaker: “Blue Collar Computing,” Royal Academy of Engineering, Madrid, Spain, Oct.

2007 3. “The impact of the TFN on education in Ohio”, Educational Technology Conference: eTech Ohio K-

12 teacher's conference, Columbus, OH, Feb. 2007 4. Keynote Speaker, “Blue Collar Computing,” High Performance Computing Technology Pellisippi

Conference, May 2005 5. Invited speaker, “HPC as an Economic Driver,” Federal Management of Change Conference (MOC),

Philadelphia, PA, May 2005 6. Keynote speaker, “HPC as an Economic Engine: Blue Collar Computing" SC2004, Pittsburgh, PA,

Nov. 2004 7. Invited presentation, “Blue Collar Computing,” Columbus Rotary Club, Aug. 30, 2004

22

8. Invited Speaker, “Barriers to Industry HPC usage,” CoC/DARPA Workshop on HPC, Jul., 2004 9. Invited Speaker, “High-Level Languages for HPC”, DARPA HLL Workshop, Santa Monica, CA,

May 2004 10. S. Ahalt, “Supercomputing and Homeland Security,” Summer Institute on Advanced Computation,

Invited Presentation, August 27-29, 2003 11. “Content-based Image and Video Compression,” S. C. Ahalt, X. Du, and H. Li, Proceedings of SPIE

Vol. 4727, Algorithms for Synthetic Aperture Radar Imagery, IX, Aerosense, April 2002, Orlando, FL 12. “Kernal-based Discriminant Feature Extraction using Representative Data,” H. Li, J. L. Sancho

Gomez, and S. C. Ahalt, Proceedings of SPIE Vol. 4729, Signal Processing, Sensor Fusion, and Target Recognition XI, Aerosense, April 2002, Orlando, FL

13. “Multiclass Kernal-based Feature Extraction,” Y. Zhao, H. Li, and S. C. Ahalt, Proceedings of SPIE Vol. 4730, Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Aerosense, April 2002, Orlando, FL

14. “Modified Kernel-based Nonlinear Feature Extraction,” Junshui Ma, Simon Perkins, James Theiler and Stanley Ahalt, Proceedings of the 2002 International Conference on Machine Learning and Applications (ICMLA'02), Las Vegas, NV, June 24-27, 2002)

15. Junshui Ma and Stan Ahalt, “Parameter Estimation Algorithms based on a Physics-based HRR Moving Target Model,” Proceedings of Algorithms for Synthetic Aperture Radar Imagery VII, SPIE Aerosense, April 2001, Orlando, FL

16. He, Chao / Dong, Jianyu / Zheng, Yuan F. / Ahalt, Stanley C. “Object Tracking using the Gabor Wavelet Transforms and the Golden Section Algorithm,” ICRA2001 in Seoul, Korea

17. Junshui Ma, Honglin Li, and Stanley C. Ahalt, “Using Support Vector Machines as HRR Signature Classifiers,” Proceedings of the 2001 SPIE Aerosense Conference, Orlando, FL, April 15-19, 2001

18. Xun Du, Honglin Li, and Stanley C. Ahalt, “Content-Based Image Compression,” Proceedings of the 2001 SPIE Aerosense Conference: Algorithms for Synthetic Aperture Radar Imagery VIII, Orlando, FL, April 15-19, 2001

19. Invited speaker, European Project COST#276, Conference on Multimedia Communications, “Video Indexing and Annotation,” November, 2001

20. “ART-2 and Multiscale ART-2 for On-Line Process Fault Diagnosis - Validation via Industrial Case Studies and Monte Carlo Simulation,” KEYNOTE PRESENTATION, 4th IFAC Workshop on On-Line Fault Detection & Supervision in the Chemical Process Industries, June 7-8, 2001, Jejudo Island, Korea

21. Invited workshop presentation: “Observing and Encoding Key Characteristics: The Challenge of Feature Discovery,” July 29th, 1999, Laredo, Spain

22. Invited lecture: “Estimating the Orientation of Satellite Components from Ground Based Images,” Unversidad de Carlos III de Madrid, July 26th, 1999, Madrid, Spain

23. Invited lecture “Content-based Image Compression: Initial Results and Observations,” Unversidad de Carlos III de Madrid, July 27th, 1999, Madrid, Spain

24. Invited Lecture: “Load-forecasting using Non-linear Time-series Prediction,” REE (National Electric Corporation of Spain), June 12, 1996, Madrid, Spain

25. Invited Lecture: “Vector Quantization of Real-Time Video Sequences”. Telefonica (National Telephone Company of Spain), March 15, 1996, Madrid, Spain

26. Invited Lecture: “Vector Quantization of Real-Time Video Sequences”. Universidad La Corũna, May 22, 1996, La Corũna, Spain

27. Invited Lecture: “Boundary Methods,” Universidad Automata de Madrid, April 8, 1996, Madrid, Spain

28. Short Course: “Parallel Computing,” Universidad de Carlos III, March 7-9, 1996, Madrid, Spain 29. Short course: “Parallel Computing and Military Electronics,” Society of Military Electronics,

September 6-8, 1995, Madrid, Spain 30. Invited lecture: “Statistical Properties of Vector Quantization for Image Compression,” The Ohio

State University Statistics Department, October 17, 1995, Columbus, OH

23

31. Invited presentation: “Vector Quantization using Artificial Neural Network Models,” 7th Tyrrhenian Workshop on Digital Communications, September 10-14, 1995, Viareggio, Italy

32. Keynote Presentation: Stanley C. Ahalt, “Mapping Neural Networks to Supercomputers: Applications and Examples,” 1994 Brazilian Conference on Supercomputing, September 14-16, 1994, Porte Allegre, Brazil

33. Plenary Presentation: “Real-time Video Compression using Entropy-biased ANN Codebooks,” 1995 SPIE Conference, April 9, 1994, Orlando, FL

34. Invited Lecture: “Image Compression using Vector Quantization based on ANN Models,” Universidad Polytecnica de Madrid, E.T.S.I. de Telecommunicacion, June 21, 1993, Madrid, Spain

35. Invited Tutorial: “Image Compression, ANN models and Vector Quantization,” EEC Research Programme WG.2 Workshop on Adaptive Algorithms, June 16-18, 1993, Vigo, Spain

36. Plenary Presentation: “Robust Variable Bit-rate Coding using Entropy-biased Codebooks,” 1993 SPIE Conference, April 21, 1993, Orlando, FL

37. Invited Presentation: “Robust High-fidelity Coding based on Entropy Biased ANN Codebooks,” Neural Networks for Physicists Workshop, Theoretical Physics Institute, August 21, 1992, University of Minnesota, Minneapolis, MN

38. Invited Lecture: “Video Data Compression using the FSCL Neural Network,” November 7, 1991, Kent State University, Kent, OH

39. Invited Tutorial: “Speech and Image Rate Reduction using ANN Vector Quantization”. EEC Research Programme WG.2 Workshop on Adaptive Algorithms, March 13-15, 1991, Vigo, Spain

40. Invited Lecture: “Speech and Image Rate Reduction using ANN Vector Quantization,” Universidad Polytecnica de Madrid, E.T.S.I. de Telecommunicacion, March 11, 1991, Madrid, Spain

41. Invited panel member: “Neural Networks and Supercomputing,” Supercomputing World Conference, San Diego, CA, July 1990

42. Invited Lecture: “Adaptive Vector Quantization,” Supercomputer Research Center, December 6, 1989, Bethesda, MD

43. Invited Workshop Discussion Leader: Neural Information Processing Conference, December 1988, Denver, CO

44. Invited Lecture: “Neural Networks: Background and Applications,” Department of Optometry, The Ohio State University, October 20, 1988, Columbus, OH

45. Invited Lecture: “Neural Networks: Background and Applications,” Department of Nuclear Engineering, The Ohio State University, October 13, 1988, Columbus, OH

Project Reports:

1. J. Nehrbass, J. Chaves, S. Ahalt and A. Krishnamurthy, “MatlabMPI Compilation Technology Report,” Online Knowledge Center (OKC), January 31, 2005

2. K. Krishnamurthy, S. C. Ahalt, J. W. Nehrbass, and J. C. Chaves, “High Productivity Computing for SIP,” PA Document Number - ASC 04-1758, Disposition Date - 17 November 2004

3. S. C. Ahalt, A. K. Krishnamurthy, J. W. Nehrbass, and J. C. Chaves, “Support for ATR Programs,” PA Document Number - ASC 04-1793, Disposition Date - 8 December 2004

4. S. C. Ahalt, A. K. Krishnamurthy, J. W. Nehrbass, and J. C. Chaves, “Signal Mining, Fusion and Validation,” PA Document Number - ASC 04-1755, Disposition Date - 17 November 2004

5. Kepner, Jeremy, Ahalt, Stan, “MatlabMPI,” Journal of Parallel and Distributed Computing, vol, 64, issue 8, August 2004, pp997-1005

6. Ma, Junshui, Krishnamurthy, Ashok, and Ahalt, Stanley, “SVM Training with Duplicated Samples and its Application in SVM-based Ensemble Methods,” Neurocomputing, vol. 61, pp. 4555-459, 2004

Awards for Research, Scholarly, or Creative Work:

• Nominated Executive of the Year, Columbus Top Cat regional technology awards, Jan. 2006 • Recipient of 1999 OSU College of Engineering Annual Research Accomplishment Award

24

• Recipient of 1997 OSU College of Engineering Lumley Research Award Editorship and Service as a Reviewer for Journals and other Learned Publications:

Journal Editorship: • IEEE Transactions on Neural Networks, Associate Editor, July 1999 – July 2001. Manuscript Reviewer: • Proceedings of the 11th Annual High Performance Embedded Computing Conference, Boston, MA,

May 21, 2007 (12 papers in 2007). • IEEE Transactions on Aerospace and Electronic Systems (1 paper). 3 in 2002 • IEEE Transactions on Circuits and Systems (3 papers). (1 from 2001) • IEEE Transactions on Circuits and Systems for Video Technology (3 papers) (2 from 2001, 1 in 2002) • IEEE Transactions on Communications (1 paper). • IEEE Transactions on Evolutionary Computation (1paper in 2002) • IEEE Transactions on Image Processing (1 paper). coordinating Associate Editor). (1 from 2001) • IEEE Transactions on Pattern Analysis and Machine Perception (2 papers). • IEEE Journal on Selected Areas in Communications (2 papers). • IEEE Transactions on Signal Processing (1 paper). 1 in 2002 • IEEE Signal Processing Letters (1 paper). • IEEE Expert (1 paper). • IEE Electronic Letters (2 papers) • Neural Networks (3 papers). • Computer Vision and Image Understanding (3 papers). • Optical Engineering (2 papers). • Neurocomputing (1 paper). • Information Sciences (1 paper). • International Journal of Computer Aided Engineering (4 papers). • International Journal of Engineering Applications of Artificial Intelligence (1 papers). • Integrated Computer-Aided Engineering (1 paper). • International Journal on Computer Aided VLSI Design (1 paper). • The Journal of the Society for Computer Simulation (2 papers). • Simulation Journal (1 paper). • Progress in Neural Networks (1 paper). • Decision Support Systems (1 paper). • Management Science (1 paper). • Proceedings of the VIII European Signal Processing Conference, September 10-13, 1996, Trieste,

Italy (15 papers). • International Symposium on Circuits and Systems (1990). • International Conference on Robotics and Automation (1990). • International Joint Conference on Neural Networks (1991). • Proceedings of the 1994 International Conference on Neural Networks (8 papers). • Proceedings of the 1995 IEEE Systems Man and Cybernetics Conference (5papers). Proposal Reviewer: • DoD Secretary of Defense High Performance Computing Office PET Panel (14 papers) • Associate Editor, IEEE Transactions on Neural Networks (May 1995- June 1998). Offices and Services to Professional Societies:

Offices:

25

• Vice-Chairman Columbus Chapter IEEE Executive Council, 1991 • Member-at-Large (Membership) Columbus Chapter IEEE Executive Council, 1990 • Chairman, IEEE Computer Society, Columbus Chapter, 1989-1993 • Vice-Chairman, IEEE Computer Society, Columbus Chapter, 1988 • StateNets meeting Secretary, IEEE Computer Society, Columbus Chapter, 1987 Services to Professional Institutions: • Organizing Committee, CASC/Educause Workshop Cyberinfrastructure, Indiannapolis, IN, July

2008. • Co-chair, NSF Workshop Cyberinfrastructure and Chemical and Biological Process Systems,

Washington, DC., Sept. 2006 • Co-chair, 2006 Cluster Symposium, Baltimore, MD, July 2006 • Co-Chair, Commodity Clusters Symposium, Greenbelt, MD, Jul. 2005 • Co-Chair, Council on Competitiveness Software Workshop, Washington, DC, Jul. 2005 • Member of High Performance Embedded Computing Conference Technical Committee, Conference

held in Sept. 2004-2007, MIT/LL, Boston, MA • Technical Committee Member, IEEE International Conference on Image Processing, 2004 • HPEC 2003 Technical Committee (reviewed 14 papers) • Technical Committee Member, IEEE International Conference on Image Processing, 2003 • Invited member of technical program committee (TPC) for the 2003 IEEE International Conference

eon Image Processing (ICIP) held in Barcelona, Spain 2003 • Member of High Performance Embedded Computing Conference Technical Committee, Conference

held in Sept. 2003, MIT/LL, Boston, MA • Invited member of technical program committee (TPC) for the 2003 IEEE International Conference

on Image Processing (ICIP) http://www.icip2003.org) to be held in Barcelona, Spain in September 2003

• Member of High Performance Embedded Computing Conference Technical Committee, Conference held in Sept. 2002, MIT/LL, Boston, MA

• Reviewer for 2002 Learning 02 Conference Held in Bayona, Spain, Sept. 2002 • Technical Committee, Learning 02 Workshop, Madrid, 2002 • Program Committee, 2001 SPIE Conference on the Applications and Science of Computational

Intetlligence III, April, Orlando, FL • Co-Chair, 1999 DoD Signal and Image Processing Forum, May 21-22, 1999, Gulfport, MS • Co-Chair, 1998 DoD Signal and Image Processing Forum, Feb 18-19, 1998, Aberdeen, MD • Program Committee member, 1998 SPIE Conference on Applications and Science of Computational

Intelligence, April 13-17, 1998, Orlando, FL • Scientific Committee member, 1998 EUSIPCO Conference, September 8-11, 1998, Rhodes, Greece. • Program Committee member, 1997 SPIE Conference on Science of Neural Networks, April 1997,

Orlando, FL • Scientific Advisory Committee, 1996 Workshop on Emergent Techniques in Signal Processing, June

1996, Bayona, Spain • Program Committee member, 1996 SPIE Conference on Science of Neural Networks, April 1996,

Orlando, FL • Program Committee member, 1996 SPIE Conference on Science of Neural Networks, April 1996,

Orlando, FL • Program Committee member, 1995 OAI Neural Network Workshop, August 1995, Athens, OH • Program Committee member, 1995 SPIE Conference on Science of Neural Networks, April 1995,

Orlando, FL

26

• Session chairman, 1994 IEEE International Symposium on Intelligent Control, July 1994, Columbus, OH

• Session chairman, 1994 IEEE International Conference on Neural Networks, June 26-27, Orlando, FL • Program Committee, 1994 IEEE International Conference on Neural Networks, June 26-27, 1994,

Orlando, FL • Session chairman, 1993 SPIE Conference on Science of Neural Networks, April 12-16, 1993,

Orlando, FL • Session chairman, 1993 SPIE Conference on Applications of Neural Networks, April 12-16, 1993,

Orlando, FL • Session chairman, 1992 IEEE Conference on Tools for Artificial Intelligence, November 10-13,

1992, Herndon, VA • Session Organizer, 1991 IEEE International Conference on Systems Engineering, Dayton, OH • Member, Cognitive Science Center, Ohio State University • Workshop Discussion Leader, 1988 Neural Information Processing Conference, December 1988,

Denver, CO Consultation:

• Extramural Member, NIH Advanced Biomedical Computing Center (ABCC) Oversight Committee, National Cancer Institute, Frederick, MD, Dec. 2007 – present.

• Chair, Arkansas External Advisory Committee, Little Rock and Fayetteville, AK, August, 2007 • Reviewed internal funding competition for University of Houston, March, 2006. • Consultant for Frontier Technologies, Dayton, OH, September 1996-2002 • Expert Witness, United States Federal Court, Columbus, OH, December 1995 • Reviewed McGraw Hill manuscript entitled “Introduction to Probability,” 1994 • Reviewed Prentice Hall manuscript entitled “Neural Network Design,” 1994 • Reviewed outline and manuscript chapters of a Neural Network textbook for Academic Press, 1993 • Reviewed manuscript of a Neural Network textbook for Prentice Hall, 1992 • Reviewed outline and manuscript chapters of a Neural Network textbook for Prentice Hall, 1992 • Reviewed two Neural Network textbooks for Prentice Hall, 1992 • Reviewed Computer Architecture textbook for Prentice Hall, 1992 • Reviewed VHDL textbook for Prentice Hall, 1992 • Reviewed Automata textbook for Prentice Hall, 1992 • Consultant for Frontier Financial, Houston, TX, 1991 • Reviewed outline and manuscript chapters of a Computer Architecture textbook for Prentice Hall,

1990 • Reviewed outline and manuscript chapters of a Neural Network textbook for Prentice Hall, 1990 • Reviewed outline and chapters of a textbook manuscript on Neural Network Theory for Macmillan,

1989 • Reviewed manuscript of textbook on Theory of Computation for McGraw Hill, 1989 • Reviewed manuscript of a textbook on Data Communication for Prentice Hall, 1988 • Reviewed manuscript of textbook on Grammar and Logic textbook for Prentice Hall, 1987 • Expert Witness, United States Federal Court, Columbus, OH, December 1987 Other Professional Service:

• National Science Foundation (NSF) SBIR/STTC Panel, August 2008 • National Science Foundation (NSF) OCI-CDI Review Panel, August 2007 • National Science Foundation (NSF) HPC Panel, 2004, 2005 • National Science Foundation (NSF) SBIR/STTC Panel, 1999

27

• National Science Foundation (NSF) CISE Reviews, 1997 • National Aeronautics and Space Administration (NASA) CESDIA panel, Office of Space Science

Administration, 1993 • National Science Foundation (NSF) Research Instrumentation Panel, 1992 • Ohio Supercomputer Center, 1990-1992 • Air Force Engineering Research Initiation Grants, 1991 • National Science Foundation (NSF) Advanced Scientific Computing Panel, 1991 • Office of Graduate Studies and Research, The Ohio State University, 1990 • Graduate Research Forum: Council of Graduate Students, The Ohio State University, 1990 Administrative Service:

State-Service • Chair, Broadband Tiger-Team, Governor-elect Strickland Transition Team • Appointed by Gov. Strickland as Co-Chair of Ohio Broadband Council, 2007-present • Member Ohio Council on Health Technologies • Appointed by Congressman Z. Space Chair, Appalachian Broadband Task Force, 2008 Departmental Committees: • Member, Resource Committee 2002-2003 • Multimedia Processing Group 2002-2003 • Chair, Computer Engineering 2001-2003 • Admissions and Recruiting 2001-2003 • Member, Strategic Planning Committee 2001-2003 • Faculty Council 2001-2003, 2005-2008 • Under Graduate Studies, Recruiting 2001-2002 • Ad Hoc Distance Learning 2001 - 2002 • Member, Graduate Studies Committee, Sept. 2000 – 2002 • Chair, Graduate Studies Committee, September 1997-2002 • Member, Graduate Recruiting and Financial Aid, September 1996-September 1997 • Chair, Computer Facilities Committee, September 1994-1997 • Member, Department Faculty Council, January 1994-December 1996 • Member, Graduate Studies Fellowship Committee, September 1993-1994 • Member, Area Committee on Communications, 1992, September 1994-present • Member, Graduate Studies Committee, September 1991-1994 • Member, Computer Facilities Committee, September 1989-1994 • Member, Area Committee on Computer Engineering, January 1987-1994 • Member, Unix Computer Committee, September 1987-1990 • Member, Communications and Signal Processing Committee • Member, Ad Hoc Distance Learning Committee • Communication and Signal Processing • Curriculum Committee • Resource Committee College or University Committees: • Member, University Senate Fiscal Committee: September 2005 – July 2008 • Member, University Senate: September 2005 – July 2008 • Member, University Senate Program Committee, September 2001-July 2003 • Member, University Senate Steering Committee, May 2001-July 2003

28

• Member, University Faculty Council, September 2000-July 2003 • Member, University Senate, September 1996-August, 1999, 2000-2003 • Chair, University Steering Committee 2002-2003 • Chair, University Research Computing Advisory Committee, Sept. 1997-2003 • Chair, University Senate Steering Committee, May 2002-July 2003University Faculty Council • Chair, University Senate Executive Committee, 2002 • University Senate Program Committee, 2002 • Chair, University Research Computing Advisory Committee, September 1997-present • Member, College of Engineering Professional Leave Committee, September 1997- present • Member, University Research Computing Advisory Committee, October 1996-1997 • Member, University Computing Guidelines Committee, November 1996-present • Member, Security, Archives, Legal, and Disaster Recovery subcommittee of the University

Computing Guidelines Committee, November 1996-present • Member, Council on Student Affairs, September 1996-1999 • Member, Council on Student Affairs Allocations subcommittee, September 1996-1999 • Member, College Ad-hoc committee on Computing Facilities Institution and Allocations, October

1996-January 1997 • Member, College Executive Steering Committee on Computing, September 1994-1997 • Member, College Honors Committee, January 1993-January 1996 • Member, University Senate (Alternative) September 1993-September 1996 • Member, College of Engineering Committee on Artificial Intelligence, January 1989-1990 • Member, College of Engineering sub-committee on Artificial Intelligence curriculum, 1989-1990 Administrative Positions Held: • Graduate Studies Chairperson, Department of Electrical Engineering, September 1997- July 1999 Other Administrative Services to/for the University: • Executive Director, Ohio Supercomputer Center, July 2003- Present