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Sean J. Barbeau, Ph.D. LinkedIn: http://www.linkedin.com/in/seanbarbeau

Github: https://github.com/barbeau StackExchange: http://bit.ly/SE_Barbeau

SlideShare: http://www.slideshare.net/sjbarbeau

OBJECTIVE To design, implement, and evaluate innovative mobile software libraries, frameworks, and apps that improve users’ lives. Specialty expertise: mobile software optimization, location-based services, artificial intelligence, Android, Java Micro Edition. APPOINTMENTS Principal Mobile Software Architect for R&D

Aug. 2012 - Present University of South Florida, Tampa, FL. Research Associate Aug. 2008 - Aug. 2012 University of South Florida, Tampa, FL. Visiting Research Associate Aug. 2004 - Aug. 2008 University of South Florida, Tampa, FL. Research Assistant

Aug. 1999 - Aug. 2004 University of South Florida, Tampa, FL. EDUCATION University of South Florida – Computer Science & Engineering Ph.D. 8/2012

Dissertation: A Location-Aware Framework for Intelligent Real-Time Mobile Applications Minor: Geographic Information Systems

University of South Florida – Computer Science M.S.C.S. 8/2009 University of South Florida – Computer Science (Summa Cum Laude) B.S.C.S. 12/2003 Minor: Electronic Music REPRESENTATIVE SKILLS

Over 10 years of experience utilizing software engineering skills in the design and implementation of prototype intelligent mobile apps for location-aware information systems using mobile devices. Key considerations: mobile software optimization, battery life conservation, artificial intelligence

Over 10 years of experience in project management for prototype location-aware information systems as part of multi-disciplinary research projects, including serving as Principle Investigator (PI) and Co-PI for many grant-funded projects (Full list available upon request)

Contributor to industry-leading open-source frameworks, libraries, and apps to enhance developer and end-user experiences, including the Android Open-Source Project (AOSP), OneBusAway, and Jackson JSON and XML processor.

Technical lead for the Travel Assistance Device (TAD) project, which created, deployed, and evaluated a mobile app to provide real-time transit navigation instructions to individuals with intellectual disabilities.

Member, Board of Directors for the OneBusAway open-source project

Customized the Android platform to demonstrate new energy-efficient location providers

Lead architect and evangelist for the OneBusAway “Multi-region” expansion

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Designed and evaluated the Java Micro Edition JSR293 Location API 2.0 as a member of the JSR293 Expert Group

Created an open-source reference implementation Android library and sample Android app for the SIRI CEN/TS 15531 real-time transit standard to stimulate the development of new transit mobile apps based on this standard

Developer of several Android apps on Google Play, including GPS Benchmark, CellViz, Baby Rattle, and GPSTest, the most popular open-source GPS app on Google Play with over 88,000 downloads

Technical lead for the Tampa, FL deployment of the OneBusAway open-source software system for real-time transit information, including an implementation of the General Transit Feed Specification (GTFS)-realtime for sharing real-time transit data

Technical lead on the Tampa deployment of OpenTripPlanner, an open-source multimodal trip planning system using the A* and other algorithms to find routes via public transportation, biking, and walking using crowd-sourced map data from OpenStreetMap.org

Over 50 peer-reviewed conference presentations and technical publications discussing best practices for mobile app development, including the Sprint Developer Conference, IEEE Network and Pervasive Computing Magazines, and Computer Communications magazine

Created innovative software services resulting in nine patents issued by the U.S. Patent and Trademark Office, 8 pending patents, and licenses to industry.

Extensive experience in object-oriented languages and integrated development environment tools, including Google Android (Java), Java Mobile Edition for embedded devices, Java Enterprise Edition for web apps, Java Standard Edition for desktop apps, Netbeans, Eclipse, Google Web Toolkit, .NET Compact Framework for embedded devices, Visual Basic.NET, C#, Visual Studio.NET, Subversion, and Git.

Extensive experience with positioning technologies and Geographic Information Systems (GIS), including assisted Global Positioning Systems (GPS) and Wi-Fi for mobile wireless devices on the Sprint-Nextel iDEN and CDMA networks and AT&T network, Android Location API, JSR179 Location API 1.0, JSR293 Location API 2.0, ESRI ArcGIS suite, GeoTools, Java Topology Suite, and GoogleMaps API.

Extensive experience with wireless systems (e.g., cellular networks, Wi-Fi, Bluetooth, Zigbee) and knowledge of networking protocols, concepts, and data formats (e.g., HTTP, TCP, UDP, SIP, RESTful and SOAP-based web services, JSON, XML).

Extensive experience managing the technological infrastructure, including SQL Server 2000, 2005, and 2008, Oracle Java Application Servers (i.e., Glassfish), IIS, ESRI’s ArcServer and ArcSDE, Postgres, and PostGIS.

Founder and Chief Executive Officer of Barbeau Development LLC, a software engineering company based in Florida.

SELECTED USF PROJECTS

Lead architect and evangelist for the OneBusAway “Multi-region” expansion project – Designed a Regions REST API and architecture (Figure 1) to allow OneBusAway Android, iPhone, Windows Phone, and Windows 8 apps to discover new cities outside of the original Seattle deployment. Implemented Android multi-region feature, and successfully advocated for 3rd party multi-region contributions for iPhone, Windows Phone, and Windows 8 apps.

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Figure 1 – OneBusAway Multi-region Architecture that Expanded Mobile Transit Apps to Multiple Cities

SIRIRestClient - Created an open-source reference implementation Android library and sample app for the SIRI CEN/TS 15531 real-time transit standard to stimulate development of new transit mobile apps based on this standard. Includes technical articles on JSON and XML parsing on Android, as well as an evaluation of JSON vs. XML parsing performance with real devices.

Location-Aware Information Systems Client (LAISYC) framework (Figure 2) – Also my Ph.D. dissertation. LAISYC is a comprehensive location-aware framework that simplifies the implementation of sophisticated, energy-efficient, location-aware mobile apps for app developers. Designed and implemented device-side portion of framework in Java Micro Edition and Android, and designed and managed implementation of server-side portion of framework in Java EE for Glassfish Application Server. Licensed for commercialization.

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Critical

Point

Algorithm

Location Data Signing

GPS Auto-Sleep

Adaptive

Location

Buffering

Location

Data

Encryption Se

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ag

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en

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Legend

Real-time Phone-Generated

Location Data Flow

Control Signals

Application Data Flow

UDP

HTTP(S)

TCP

Location Data

Flow Control

Device Platform Software

LAISYC – Communications

Management

LAISYC – Positioning

Systems Management

Server

Location API Persistent Storage API I/O API

Virtual Machine

Java ME / Android

LAISYC Comm. APILAISYC Positioning API

Location-Aware Application(Device-side)

Figure 2 - LAISYC mobile framework for efficient location-based services

Android Platform Customization –Modified the Android platform source code to add location-aware intelligence and reduce the burden on app developers. Based on the patented “GPS Auto-Sleep” algorithm.

TRAC-IT – TRAC-IT is a mobile phone app that collects high-resolution travel behavior data that are instantly transferred to a server for analysis while conserving battery life of the device. TRAC-IT also can provide personalized, predictive real-time location-based services (e.g., traffic alerts, location-based advertising) that benefits the end-user. Designed and implemented device-side software in Java Micro Edition and Android (based on MyTracks), designed and managed implementation of server-side web app in Java EE for Glassfish Application Server. TRAC-IT uses the LAISYC Framework (see above).

Travel Assistance Device - TAD is a mobile app that helps new transit riders navigate the public transportation system. TAD prompts the rider in real-time with a recorded audio message (e.g., “Get Ready” and “Pull the Cord Now!”), visual images, and vibration alerts when the rider should pull the stop request cord to exit the bus. Designed and implemented device-side software in Java ME using embedded GPS, and designed and managed implementation of server-side web app and web site in Java EE for Glassfish Application Server. Licensed for commercialization. TAD uses the LAISYC Framework (see above).

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SELECTED PERSONAL PROJECTS

GPSTest (Open-source on Github) –Most popular open-source Android GPS testing app on Google Play (over 88,000 downloads). Provides example source code to jumpstart app developers new to GPS services. Inherited from a former Android location team member in 2013. Implemented a variety of improvements, including an update from the deprecated TabActivity to the Action Bar and Fragments, as well as an update to Android Maps API v2.0. Available on Google Play and Github.

GPS Benchmark – Android app that enables developers and users to quickly benchmark the accuracy of positioning technologies (e.g., Fused, GPS, Wi-Fi, Cellular) in a mobile device against a user-entered ground truth location. Outputs data in Google Earth (KML) and CSV formats. Available on Google Play.

Output of GPS Benchmark data and percentile results in Google Earth

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CellViz – Android app that records and visualizes cell signal information in Google Earth. Enables developers and users to quickly analyze cell network coverage issues and collect hard data to troubleshoot network connection issues. Outputs data in Google Earth (KML) and CSV formats. Available on Google Play.

Baby Rattle App – Android app based on the AndEngine framework and Box2D physics engine that simulates multiple objects colliding inside a baby rattle. Uses accelerometers and touch screen to influence real-time interactions between the user and bouncing objects that trigger sound and vibration. Available on Google Play.

Android Platform Contributions (Open-source on Gerrit) – A variety of contributions to the Android Open-Source Project (AOSP), including fixes for GPS location provider code, new utility methods for geographic coordinate conversion, and improved documentation of API methods to make location-aware software development easier on app developers. A submission to AOSP resulted in a major improvement to Android that made location update frequencies more reliable for developers.

Encog Mobile Edition (Open-source on Github) - Port of the Encog artificial neural network machine learning project to Java Micro Edition, with the goal to make it easier to develop intelligent mobile apps. Includes supporting server-side software that allows training of the neural network server-side, and transfer of the trained model to the mobile device for execution in Java ME. Produced a technical article on the project, including benchmarking results comparing server-side and mobile device neural net training and testing performance.

A* Visualizer (Open-source on Github) – Implementation and visualization of the A* routing algorithm that allows developers to better understand the impact of different heuristics and settings for the A*algorithm when navigating a network.

Media Remote Micro Edition (Open-source on Github) - An open-source Java Micro Edition (Java ME) app that allows the user to control different types of media players (e.g., iTunes, Yahoo Launchcast streaming music player) on a home theater PC from a Java ME mobile phone. Includes server-side code that implements web services and control of iTunes via the COM APIs and Launchcast Media Player via the Java Robot API.

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INTELLECTUAL PROPERTY

Nine patents issued by the U.S. Patent & Trademark Office, with another 10 pending: a. Barbeau et al. - U.S. Patent # 8,600,674 – Using Pattern Recognition in Real-time LBS

Applications – Estimates the position of a mobile device based on previously observed (i.e., historical) data, when real-time positioning data such as GPS is unavailable. Issued December 3, 2013, U.S. Patent and Trademark Office.

b. Barbeau et al. - U.S. Patent # 8,548,724 – System and Method for Real-time Travel Path Prediction and Automated Incident Alerts – Predicts an individual’s travel path, based on their real-time location and personal travel history, and delivers highly-targeted incident alerts based on this information. Issued October 1, 2013, U.S. Patent and Trademark Office.

c. Barbeau et al. - U.S. Patent # 8,036,679 – Optimizing performance of location-aware applications using state machines – Dynamically adjusts GPS sampling rates to allow high resolution tracking while moving and conservation of battery energy when stopped. Issued March 20, 2012, U.S. Patent and Trademark Office.

d. Barbeau et al. - U.S. Patent # 8,045,954 – Wireless Emergency-Reporting System – Bidirectional location-based multimedia messaging system. Issued March 20, 2012, U.S. Patent and Trademark Office.

e. Dos Santos et al. - U.S. Patent # 8,140,256 - Dynamic Ridematching Algorithm - GIS-based Algorithm to match riders for carpools that are traveling on similar routes. Issued March 20, 2012, U.S. Patent and Trademark Office.

f. Barbeau et al. - U.S. Patent # 8,138,907 – Travel Assistant Device - Travel Assistance Device (TAD) system to assist transit riders with intellectual disabilities. Issued March 20, 2012, U.S. Patent and Trademark Office.

g. Barbeau et al. - U.S. Patent # 8,145,183 - On-Demand Emergency Notification System using GPS-equipped Devices - Mobile app to automatically determine the cell phone user's current evacuation zone and real-time evacuation information for that zone. Issued March 27, 2012, U.S. Patent and Trademark Office.

h. Barbeau et al. - U.S. Patent # 8,169,342 - Method of Providing a Destination Alert to a Transit System Rider - Algorithm used in the Travel Assistance Device (TAD) system to alert a transit rider when to exit the bus based on their real-time location and nearby bus stops. Issued May 1, 2012, U.S. Patent and Trademark Office.

i. Barbeau et al. - U.S. Patent # 8,249,807 - Method for Determining Critical Points in Location Data Generated by Location-Based Applications - Reduces the amount of location data sent over a wireless network by pre-filtering the data on-board a mobile device and eliminating "non-critical" points that aren't needed to recreate the device's path. Reduced data transmissions result in reduced battery energy consumption and reduced data costs. Issued August 21, 2012, U.S. Patent and Trademark Office.

Managed intellectual property generated by location-aware information systems research, including technology for GPS-enabled devices, through USF Division of Patents and Licensing by creating patent disclosures and translating research findings to patent applications.

Organized meetings with industry to promote the licensing of USF patents, resulting in licenses of 2 issued and 3 pending patents to industry for commercialization.

SELECTED CONFERENCE/WEBINAR/PANEL PRESENTATIONS (Full list available on request)

Rodney Nelson, Mike McMullen, Sean J. Barbeau. “Best Practices in Location-Based Services,” 2010 Sprint Open Developer’s Conference, Santa Clara, CA. October 27th, 2010.

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Rodney Nelson, Mike McMullen, Sean J. Barbeau. “Location-Based Services - Best Practices and Mobile Application Optimization,” 2009 Sprint Open Developer’s Conference, Santa Clara, CA. October 27th, 2009.

Sean J. Barbeau, Aaron Antrim. “The Many Uses of GTFS Data - Opening the Door to Transit and Multimodal Apps”, 2013 Intelligent Transportation Systems America Annual Meeting, Nashville, Tennessee, April 22-24, 2013.

Sean J. Barbeau. “Open Transit Data – A Developer’s Perspective”, America Public Transportation Association TransITech 2013, Phoenix, AZ, March 20th, 2013.

Sean J. Barbeau. Panel Member, White House Round Table on Real-time Mobile Transit Apps, White House, Washington, D.C., January 19th, 2012.

Sean J. Barbeau, Philip Winters, Rafael Perez, Miguel Labrador, Nevine Georggi. “GPS Auto-Sleep - Energy-Efficient Location Tracking in Mobile Apps,” National Academy of Inventors Annual Conference, Tampa, Fl, February 16-17, 2012.

Sean J. Barbeau, Candace Brakewood, Kari Watkins. “OneBusAway – Sharing Real-time Transit Information via Open-Source Software”, 2013 University Transportation Centers Southeast Conference, Orlando, FL, April 4th, 2013.

Sean J. Barbeau, Nevine Georggi, Philip Winters. “Research Today to Increase Accessibility Tomorrow: The Cutting Edge of Wayfinding Technology”, 2011 Easter Seals Project ACTION Wayfinding Technology Webinar. April 13th, 2011.

Marcy Gordon, Sean J. Barbeau, Miguel Labrador. “Location Data Signing – Protecting the Integrity and Authenticity of Positioning System Data,” Proceedings of the 2011 Intelligent Transportation Systems World Congress, Orlando, FL, October 20, 2011.

Sean J. Barbeau, Nevine L. Georggi, Philip L. Winters, Miguel Labrador. “Participatory Sensing: Smart Phones as Sensors in a Connected World (P11-1654),” National Academy of Sciences’ Transportation Research Board 90th Annual Meeting. Washington, D.C., January 23th, 2011.

Sean J. Barbeau, Nevine L. Georggi, Philip L. Winters. “TRAC-IT: Travel Behavior Data Mining using GPS-enabled Mobile Phones,” U.S Department of Transportation Federal Highway Administration Travel Model Improvement Program (TMIP) National Webinar on Data Transferability and Data Mining, January 25, 2010.

Sean J. Barbeau, Mark Sheppard. “Cell Phones and GIS: Lessons Learned from Developing Transit Navigation Software,” 2009 GIS in Transit Conference, St. Petersburg, Fl. November 17th, 2009.

SELECTED PEER-REVIEWED TECHNICAL PUBLICATIONS (Full list available on request)

Sean J. Barbeau, Rafael A. Perez, Miguel A. Labrador, Alfredo J. Perez, Philip L. Winters, Nevine Labib Georggi, "A Location-Aware Framework for Intelligent Real-Time Mobile Applications," IEEE Pervasive Computing, vol. 10, no. 3, pp. 58-67, July-Sept. 2011, doi:10.1109/MPRV.2010.48

Sean J. Barbeau, Miguel A. Labrador, Alfredo Perez, Philip Winters, Nevine Georggi, David Aguilar, Rafael Perez. “Dynamic Management of Real-Time Location Data on GPS-enabled Mobile Phones,” IEEE UBICOMM 2008 – The Second International Conference on Mobile Ubiquitous Computing, Systems, Services, and Technologies, Valencia, Spain, September 29 – October 4, 2008.

Sean J. Barbeau, Miguel A. Labrador, Philip L. Winters, Rafael Pérez, Nevine L. Georggi, “Location API 2.0 for J2ME – A New Standard in Location for Java-enabled Mobile Phones,” Computer Communications, Volume 31, Issue 6, pp. 1091-1103, 18 April 2008. doi:10.1016/j.comcom.2008.01.045.

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Sean J. Barbeau, Miguel A. Labrador, Philip Winters, Rafael Perez and Nevine Labib Georggi, “A General Architecture in Support of Interactive, Multimedia, Location-based Mobile Applications”, IEEE Communications Magazine, vol. 44, No. 11, pp. 156-163, November 2006.

Paul A. Zandbergen and Sean J. Barbeau. “Positional Accuracy of Assisted GPS Data from High-Sensitivity GPS-enabled Mobile Phones,” The Journal of Navigation, vol. 64, issue 03, pp. 381-399. July 2011.

Khoa Tran, Sean J. Barbeau, Edward Hillsman, and Miguel Labrador. “GO_Sync – An Open-Source Framework to Synchronize Crowd-Sourced Mapping Contributors from Online Communities and Transit Agency Bus Stop Inventories,” International Journal of Intelligent Transportation Systems Research, Volume 11, Issue 2, pp54-64, May 2013.

Sean J. Barbeau, Miguel A. Labrador, Nevine L. Georggi, Philip L. Winters, Rafael A. Perez. “The Travel Assistance Device: Utilizing GPS-enabled Mobile Phones to Aid Transit Riders with Special Needs,” Institution of Engineering and Technology (IET) Intelligent Transportation Systems, 2010, Vol. 4, Iss. 1, pp. 12–23.

Sean J. Barbeau, Nevine L. Georggi, Philip L. Winters, Marcy E. Gordon. “From Idealism to Realism: Lessons Learned from Development of Standards-Based Software for Advanced Public Transportation Systems,” Proceedings of the National Academy of Sciences’ Transportation Research Board 90th Annual Meeting. January 24, 2011.

Sean J. Barbeau, Nevine L. Georggi, Philip L. Winters. “Global Positioning System Integrated with Personalized Real-Time Transit Information from Automatic Vehicle Location,” Transportation Research Record: Journal of the Transportation Research Board, Transit 2010 Vol 1, No. 2143, pp. 168-176, October 2010.

Paola A. Gonzalez, Jeremy S. Weinstein, Sean J. Barbeau, Miguel A. Labrador, Philip L. Winters, Nevine L. Georggi, Rafael A. Perez. “Automating Mode Detection for Travel Behavior Analysis by Using GPS-enabled Mobile Phones and Neural Networks,” Institution of Engineering and Technology (IET) Intelligent Transportation Systems, 2010, Vol. 4, Iss. 1, pp. 37–49.

Alfredo Perez, Miguel A. Labrador, and Sean J. Barbeau, “G-Sense: A Scalable Architecture for Global Sensing and Monitoring”, IEEE Network Magazine, Vol.24 No.4, July 2010.

MEMBERSHIPS

Member, Board of Directors for the OneBusAway open-source project

Member, “Java Specification Request (JSR) 293: Location API v2.0” international expert group - Responsible for defining the next-generation software standard for Java Micro Edition (JME) location-aware mobile devices.

Founding faculty member of the Location-Aware Information Systems Laboratory at USF.

Member, National Academy of Inventors.

Member, IEEE Computer Society.

Founder of the “Open Transportation Technology” Stack Exchange group, with 101 committers at 24% commitment stage.

INDUSTRY RELATIONSHIPS

Established relationship between USF and Sprint-Nextel Application Developer Program which resulted in access to restricted location-aware functions and donated Professional Developer Program membership, as well as donated commercially-available and pre-market cell phones and cell phone service valued at $25,000 annually.

Established relationship between USF and Motorola to create Motorola-sponsored projects for USF Computer Science undergraduate Senior Project class.

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Formed contacts with key companies in location-aware technology through JSR293 Expert Group, including Sprint-Nextel, Motorola, Nokia, Navteq, Sony Ericsson, and SiRF.

In 2010, USF licensed the Travel Assistance Device, and underlying LAISYC framework technologies, to a Tampa-based company for commercialization.

AWARDS

USF’s 2008 Excellence in Innovation Award for work in the area of location-based services, presented by USF’s Office of Research & Innovation

National Center for Transit Research (NCTR) Student of the Year, 2008. STUDENT INTERACTIONS

Google Summer of Code 2013 Mentor - Creating a stable and improved OpenTripPlanner Android client for walk, bike, and transit routing based on OpenStreetMap and GTFS data.

Managed a team of up to nine undergraduate and graduate, including Masters and Ph.D., Computer Science students working cooperatively on location-aware information systems research grants.

Co-Major Professor, Khoa Tran. “Spatial-Temporal Clustering Algorithm for High-Accuracy Identification of Points-of-Interest from GNSS data,” Masters of Science in Computer Science, Department of Computer Science & Engineering at USF. 2012-2013.

Member of Ph.D. Committee, Candace Brakewood. “Quantifying the Impact of Real-time Vehicle Location Information on Transit Ridership, Doctor of Philosophy in the School of Civil and Environmental Engineering, Georgia Institute of Technology. 2013-2014.

Member of MS Thesis Committee, Juan Jose Marron Monteserin. “Multi sensor system for pedestrian tracking and activity recognition in indoor environments,” Department of Computer Science & Engineering at USF. 2013.

Member of MS Thesis Committee, Arica Bolechal. “Evaluating the Effectiveness of the Travel Assistance Device on the Bus Riding Behavior of Individuals with Disabilities,” Applied Behavior Analysis Master’s Program, Florida Mental Health Institute (FMHI) at USF. 2009-2010.

Taught “GIS 5705 – Global Positioning Systems” graduate class in Spring 2013.

Mentor in USF Research Experience for Undergraduates (REU) program from 2004 to present, including mentoring of several award-winning REU students recognized in USF university-wide competitions.

MEDIA APPEARANCES / CITATIONS

More than 30 media appearances and citations, including television, newspaper, research magazines, and radio. Full list available upon request

References Available Upon Request. Recommendations also available on LinkedIn.