posters students 3
DESCRIPTION
Posters Students 3. October 25, Thursday. Marcelo Mottalli Computer Science Department University of Buenos Aires (UBA) Buenos Aires, Argentina. Research topics. Iris recognition (and biometrics in general) Statistical analysis for biometric template matching in large databases - PowerPoint PPT PresentationTRANSCRIPT
Posters Students 3
October 25, Thursday
Marcelo Mottalli
Computer Science DepartmentUniversity of Buenos Aires (UBA)
Buenos Aires, Argentina
Research topics
• Iris recognition (and biometrics in general)• Statistical analysis for biometric template
matching in large databases• Large scale searching in biometric databases
using GPU
Who am I?
Márcio de Carvalho SaraivaBrazilian
Master's degreeFederal University of Campina Grande - PB
Current work
Recommendation query database- Classification database users using queries
log
Classify Recommend
Marcus Vinicius de Aragão BatistaBrazilian PhD Student
Federal University of Pernambuco - UFPE
Laboratory of Bioinformatics and Evolutionary Biology – LABBE
http://www.bioinfo.ufpe.br/
Projects I have been engaged on…
• Bioinformatics Applied to Viral Genomics and Evolution.• Development and Application of Novel Computational Methods to
Papillomavirus Genomic Diversity Studies.
• Comparative Transcriptomics of Sandflies (Diptera: Pscychodidae) of Medical and Veterinary Importance.
• Transcriptomics of Leishmania chagasi.
• Database and Bioinformatics Tool Development.
• And others...
Maria Augusta C. Horta
pHD student at Molecular Biology and Genetic Engineering Center (CBMEG),State University of Campinas (UNICAMP)
Brazil
Current work: Bioprospection of new enzymes for biomass degradation
The main objective is to contribute to the development of enzymatic hydrolysis of sugarcane bagasse for the production of cellulosic ethanol.
Through analysis of genomes of microorganisms with demonstrated hydrolytic potential we expect to obtain genes and heterologous proteins for efficient degradation of biomass and high conversion yields.
MARKO OBROVAC
Distributed Chemical Computing
Third-year PhD StudentMyrids Team
IRISA / INRIA / University of Rennes IRennes, France
Advisors: Cédric Tedeschi and Thierry Priol
• Chemical Programming Model– implicitly parallel and non-deterministic model– higher order → on-the-fly modification of programs– suitable for large-scale applications
• scientific workflows: enactment, execution, scheduling• autonomic computing: self-* properties
• Runtime for Large-scale Platfroms– fully decentralised– efficient and scalable– real-world prototype
• Questions? Comments?– [email protected]– http://www.irisa.fr/myriads/members/doorman
Matheus Silva Mota [email protected]
Laboratory of Information Systems - LISInstitute of Computing - UNICAMP
Campinas, São Paulo
Shadow-driven document Representation (Master)
Attacked problem: Document is everywhere; but in different formats.
Our solution: Shadows - an interoperable descriptor that represents documents’ structure and content, regardless of formats.
Attacked problem: How to analyze (very) large knowledge bases?
Our solution: Multiscale(?)
Correlating Ontologies in a Multiscale Perspective (PhD)
Personal Information
Name : Mauricio Barrientos Somarribas
Nationality: Costa Rica
Studies: • B.Sc. In Computer Science
• University of Costa Rica
• 2nd year M.Sc in Comp. & Systems Biology• Kth Royal Institute of Technology, Sweden
Recent and Current Work
• Transposable Element Database• Collaboration with Stanford University
• ChIP-seq online analysis platform• Karolinska Institutet, Sweden
• Regulatory region annotation• Oxford University
UNIVERSITY OF SAO PAULO Inter-institutional
Grad Program on Bioinformatics
Milton Yutaka Nishiyama JuniorPhD Student
Brazil
• Advisor: Dra. Glaucia M. Souza (Department of Biochemistry –
IQ/USP)• Co-Advisor: Dr. João E. Ferreira (Department of Computer Science –
IME/USP)
Development of an environment based on metabolic pathways for integration and analysis of functional genomics of Sugarcane-Functional Annotation of Sugarcane Transcriptome (SANGER, RNA-Seq)
- Development and Application of Metodologies and Tools for cDNA Microarray Analysis-Work on an Heterogeneous Database Integrating different Sources-Development of a Framework to Integrate Heterogeneous Data from Sugarcane and other Grasses
Nils Murrugarra
Graphs, ensembles and Classification Tasks
Outlier Detection in Medical Records
Rafael Santos – BrazilTechnologist
INPE – Instituto Nacional de Pesquisas Espaciais(the Brazilian National Institute for Space Research)
www.inpe.brwww.lac.inpe.br/~rafael.santos
Rafael Santos – Brazil ([email protected])
R&D in Artificial Intelligence, Data Mining, Image Processing, Distributed Information Systems.
Teach at the Graduate Program in Applied CS at INPE, Summer and Winter schools.
Present R&D projects: data organization, federation, provenance, distribution / virtual laboratories & observatories / “data salvage” / collaborative systems.
Ricardo Cerri, Ph.D. candidateNationality: Brazilian
Field: Computer Science
Institution: Institute of Mathematics and Computer ScienceUniversity of São Paulo at São CarlosICMC – USP – São Carlos – São Paulo – Brazil
Current Work• Hierarchical Multi-Label Classification• Protein and gene function prediction• Neural Networks and Genetic Algorithms
• Identification of Transposable Elements• Hidden Markov Models• Decision Trees
Name: Roberto Hirochi Herai
Nationality: Brazilian
Institution: School of Medicine,University of California San Diego,Ca, USA
Current work-Bioinformatics approaches for autism spectrum disorders, based on:
→ Induced pluripotent stem cell technology;→ Neuron cell diferentiation;
→ High throughput sequencing extraction;
Pos-Doc position at
Dr. Ronaldo Júnio de OliveiraSup: Vitor B. P. Leite
Theoretical Models for Protein Studies
Protein FoldingBioethanol Enzymes
PNAS (2007, 2012)
About me
Who: Santiago Videla - santiago.videla@[irisa.fr | gmail.com]
From: Buenos Aires / Cordoba, ArgentinaInstitutions: • France: CNRS, IRISA – INRIA Rennes, University of Rennes 1• Germany: Institute for Computer Science, University of Potsdam
About my work: Qualitative modeling in Systems Biology
Approach: Answer Set Programming• Declarative problem solving paradigm• Good for solving combinatorial search problems in NP(-hard)• Knowledge Representation and Reasoning, Databases, Constraint Solving and Logic Programming
Shayan Shahand
Born in Isfahan, IranBachelor: Computer Eng.,SBU, Tehran, IranMaster: Computer Eng.,NTU, SingaporePhD candidate: Medical informatics (e-bioscience)UvA, AMC, Amsterdam, Netherlands
Front-ends to biomedical data analysis on e-infrastructure
Cluster… e-infrastructure
Grid Cloud
Back-endmiddleware
API / CLI Tools
API / CLI Tools
API / CLI Tools
Front-end CLI DesktopApp
WebApp
MobileApp
Spencer Angus ThomasBritish
University of Surrey Guildford,
Surrey GU2 7XH, UK
Current Research1. Synthesis and analysis of gene regulatory networks (GRNs)
a) Optimising GRNs with evolutionary algorithms (EAs)b) Producing functional dynamics from GRNs• Genetic oscillators and switches• The effect of objective set up: multiobjectivization
c) Evolutionary mechanism• Coupling small motifs• Gene duplication and deletion
2. Reconstruction of biological networks
a) Modelling bacteria that produce antibioticsb) Experimental data and correlations to identify genes c) EAs to build model and reproduce gene expression
Teresa Sousa
• Portuguese
• University of Coimbra – Portugal
• Doctoral Program in Biomedical Engineering
• Host institutions:
Biomedical Institute for Research in Light and Image (IBILI), Faculty of Medicine, Coimbra University
Institute for Systems and Robotics (ISR), Faculty of Sciences and Technology, Coimbra University
Brain Imaging Center, Department of Cognitive Neuroscience, Maastricht University
From parametric decoding of simple mental states to neurofeedback: insights into the neuroscience of cognitive control
Speed 3
Speed 4
Identification of brain areas which respond to parametric stimulus
Developing a brain reading technique to automatically
detect the parametric levels of brain activation
BCI applications: manipulating target parameters such object position and
velocity
New neurofeedback approach with more precision allowing understand the
neurocorrelates of cognitive control
Transfer the new technique to EEG
Speed 1
Speed 2
VELIMIR GAYEVSKIYSupervised by Dr. Matthew Goddard
The University of Auckland, New Zealandhttp://goddardlab.auckland.ac.nz
Microbial EcologyPopulation Genetics Experimental Evolution
Wine ScienceOUR RESEARCH
PhD Student – Second Year
The Diversity, Origins and Ancestry of Saccharomyces cerevisiae
in New Zealand
WHOLE GENOME SEQUENCINGPhylogenetics Phylogeography
Divergence Dating
Wissam A. A. AlbukhanajerPhD Student
Nationality: IraqPermanent Resident: United Kingdom
University of SurreyFaculty of Engineering and Physical Science
Department of Computing
Nature Inspired Computing and Engineering Group
Current work involves fast and robust Invariant feature extraction and Image recognition using Bio-Inspired and Computational Intelligence
• Dealing with massive image data on the web or local database.• Robustness to general image deformation (Invariance), such as rotation, scale, noise
etc.• High performance algorithms and parallel computation are essential.• (Published) W. A. Albukhanajer, Y. Jin, J. A. Briffa and G. Williams "Evolutionary Multi-
Objective Optimization of Trace Transform for Invariant Feature Extraction" IEEE Congress on Evolutionary Computation CEC, Brisbane, Australia, June 10-15, 2012. Digital Object Identifier : 10.1109/CEC.2012.6256160
• (Submitted) W. A. Albukhanajer, Y. Jin, J. A. Briffa and G. Williams “A comparative Study of Multi-Objective Evolutionary Trace Transform Algorithms for Robust Feature Extraction " 7th International conference on Evolutionary Multi-Criterion Optimization. EMO 2013, Sheffield UK, 19-22 March 2013
Yingchao Piao
Ph.D. student, Advisor: Prof. Baoping YanGeneral Group for Advancing e-Science Applications
Computer Network Information Center, Chinese Academy of Sciences (CNIC, CAS), China.
Email: [email protected] MSN: [email protected]
Current Work
• Change Detection in Remote Sensing Time Series Using wavelet transform method Seeded region growing algorithm for detailed analysis
• Massive data processing algorithm Problem found during former work (OOM in transformation) Accelerate the remote sensing image processing algorithm
Yuwei Wang
Ph.D. student, Advisor: Prof. Baoping YanGeneral Group for Advancing e-Science Applications
Computer Network Information Center, Chinese Academy of Sciences (CNIC, CAS), China
Email: [email protected]
Current Work
• Spatial and Temporal Visualization and Visual Analysis of Movement Data of Migratory Birds
• Data Mining on GPS data of Wild Birds• 3D Visualization Platform of Bird Migration• Network Video Monitoring System for Qinghai Lake
Talita Perciano Costa Leite
1. Bachelor’s degree in Computer Science from Federal University of Alagoas - Brazil• Advisor: Alejandro C. Frery• Data mining, computational statistics, R software, image processing
2. Master’s degree in Computer Science from Federal University of São Carlos – Brazil• Advisor: Nelson D. A. Mascarenhas• Image restoration, ultrasound, vibro-acoustography (collaboration with Mayo Clinic)
3. PhD degree in Computer Science from University of São Paulo – Brazil (1 year and 3 months stage at ENST Paris with Florence Tupin)• Advisors: Roberto Hirata Jr. and Roberto M. Cesar Jr.• Title: Detection of thin and ramified structures in images using Markov random fields and
perceptual information • Image segmentation, thin and ramified structures, Markov random fields• Blood vessels, plant root images, satellite images (image fusion)
Current work
USP e-Science Research NetworkRoberto M. Cesar Jr.
• Setting up an e-Science infrastructure: The infrastructure for data acquisition and treatment will be organized as a
network Hardware and software to support the main research steps: data capture,
storage, maintenance, analysis and visualization. Data stored in databases distributed and integrated to other bases available
at Internet Computational statistical and mathematical analysis tools and data
visualization techniques => data interpretation