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Posters Students 3

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

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Posters Students 3

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  1. PostersStudents 3 October 25, Thursday

  2. Marcelo Mottalli Computer Science Department University of Buenos Aires (UBA) Buenos Aires, Argentina

  3. 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

  4. Who am I? Márcio de CarvalhoSaraiva Brazilian Master'sdegree Federal University of Campina Grande - PB

  5. Current work Recommendationquery database - Classification database usersusingquerieslog Classify Recommend

  6. Marcus Vinicius de Aragão BatistaBrazilian PhD Student Federal University of Pernambuco - UFPE Laboratory of Bioinformatics and Evolutionary Biology – LABBE http://www.bioinfo.ufpe.br/

  7. Projects I have been engaged on… BioinformaticsAppliedto Viral GenomicsandEvolution. DevelopmentandApplicationof Novel ComputationalMethodstoPapillomavirusGenomicDiversityStudies. ComparativeTranscriptomicsofSandflies (Diptera: Pscychodidae) of Medical andVeterinaryImportance. Transcriptomics of Leishmaniachagasi. DatabaseandBioinformatics Tool Development. Andothers...

  8. Maria Augusta C. Horta pHD student at Molecular Biology and Genetic Engineering Center (CBMEG), StateUniversityofCampinas (UNICAMP) Brazil

  9. Current work: Bioprospectionof 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.

  10. Marko Obrovac Distributed Chemical Computing Third-year PhD Student Myrids Team IRISA / INRIA / University of Rennes I Rennes, France Advisors: CédricTedeschi and Thierry Priol

  11. Chemical Programming Model • implicitly parallel and non-deterministic model • higher order → on-the-fly modification of programs • suitableforlarge-scaleapplications • scientific workflows: enactment, execution, scheduling • autonomic computing: self-* properties • Runtime for Large-scale Platfroms • fully decentralised • efficientandscalable • real-world prototype • Questions? Comments? • marko.obrovac@inria.fr • http://www.irisa.fr/myriads/members/doorman

  12. Matheus Silva Mota mota@ic.unicamp.br LaboratoryofInformation Systems - LIS Instituteof Computing - UNICAMP Campinas, São Paulo

  13. Shadow-drivendocumentRepresentation (Master) Attackedproblem:Document is everywhere; but in differentformats. Our solution: Shadows - aninteroperabledescriptorthatrepresentsdocuments’ structureandcontent, regardlessofformats. CorrelatingOntologies in a MultiscalePerspective (PhD) Attackedproblem: How to analyze (very) largeknowledge bases? Our solution: Multiscale(?)

  14. Personal Information Name : Mauricio BarrientosSomarribas 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

  15. Recent and Current Work Transposable Element Database Collaboration with Stanford University ChIP-seq online analysis platform KarolinskaInstitutet, Sweden Regulatory region annotation Oxford University

  16. UNIVERSITY OF SAO PAULO Inter-institutional Grad Program on Bioinformatics Milton Yutaka Nishiyama Junior PhD Student Brazil • Advisor: Dra. Glaucia M. Souza (Department of Biochemistry – IQ/USP) • Co-Advisor: Dr. João E. Ferreira (Department of Computer Science – IME/USP)

  17. 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 • cDNAMicroarray Analysis • Work on an Heterogeneous Database Integrating different • Sources • Development of a Framework to Integrate Heterogeneous Data • from Sugarcane and other Grasses

  18. NilsMurrugarra

  19. Graphs, ensembles and ClassificationTasks OutlierDetection in Medical Records

  20. Rafael Santos – BrazilTechnologist INPE – InstitutoNacional de PesquisasEspaciais(the Brazilian National Institute for Space Research)www.inpe.brwww.lac.inpe.br/~rafael.santosrafael.santos@inpe.br

  21. Rafael Santos – Brazil (rafael.santos@inpe.br) 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.

  22. Ricardo Cerri, Ph.D. candidate Nationality: Brazilian Field: Computer Science Institution: Institute of Mathematics and Computer Science University of São Paulo at São Carlos ICMC – USP – São Carlos – São Paulo – Brazil

  23. 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

  24. Name: Roberto HirochiHerai Nationality: Brazilian Institution: School of Medicine, University of California San Diego, Ca, USA

  25. Current work • Bioinformatics approaches for autism spectrum disorders, • based on: • → Induced pluripotent stem cell technology; • → Neuron cell diferentiation; • → High throughput sequencing extraction;

  26. Pos-Doc position at Dr. RonaldoJúnio de Oliveira Sup: Vitor B. P. Leite

  27. Theoretical Models for Protein Studies Protein Folding Bioethanol Enzymes PNAS (2007, 2012)

  28. About me Who: Santiago Videla - santiago.videla@[irisa.fr | gmail.com] From: Buenos Aires / Cordoba, Argentina Institutions: France: CNRS, IRISA – INRIA Rennes, University of Rennes 1 Germany: Institute for Computer Science, University of Potsdam

  29. 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

  30. s.shahand@amc.uva.nl Shayan Shahand Born in Isfahan, Iran Bachelor: Computer Eng.,SBU, Tehran, Iran Master: Computer Eng.,NTU, Singapore PhD candidate: Medical informatics (e-bioscience)UvA, AMC, Amsterdam, Netherlands

  31. Front-ends to biomedical data analysis on e-infrastructure CLI Desktop App Web App Mobile App Front-end middleware Back-end Cluster Grid Cloud API / CLI Tools API / CLI Tools API / CLI Tools … e-infrastructure s.shahand@amc.uva.nl

  32. Spencer Angus Thomas British University of Surrey Guildford, Surrey GU2 7XH, UK

  33. Current Research • Synthesis and analysis of gene regulatory networks (GRNs) • Optimising GRNs with evolutionary algorithms (EAs) • Producing functional dynamics from GRNs • Genetic oscillators and switches • The effect of objective set up: multiobjectivization • Evolutionary mechanism • Coupling small motifs • Gene duplication and deletion • Reconstruction of biological networks • Modelling bacteria that produce antibiotics • Experimental data and correlations to identify genes • EAs to build model and reproduce gene expression

  34. Teresa Sousa Portuguese Universityof 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

  35. Speed 3 Speed 4 From parametric decoding of simple mental states to neurofeedback: insights into the neuroscience of cognitive control Speed 1 Speed 2 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

  36. PhD Student – Second Year VELIMIR GAYEVSKIY Supervised by Dr. Matthew Goddard The University of Auckland, New Zealand http://goddardlab.auckland.ac.nz OUR RESEARCH Microbial Ecology Wine Science Experimental Evolution Population Genetics

  37. The Diversity, Origins and Ancestry of Saccharomyces cerevisiae in New Zealand WHOLE GENOME SEQUENCING Phylogenetics Phylogeography Divergence Dating

  38. WissamA. A. AlbukhanajerPhD StudentNationality: IraqPermanent Resident: United KingdomUniversity of SurreyFaculty of Engineering and Physical ScienceDepartment of ComputingNature Inspired Computing and Engineering Group

  39. 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

  40. YingchaoPiao Ph.D. student, Advisor: Prof. BaopingYan General Group for Advancing e-Science Applications Computer Network Information Center, Chinese Academy of Sciences (CNIC, CAS), China.Email: pyc@cnic.cn  MSN: piaoyingchao@live.cn

  41. 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

  42. Yuwei Wang Ph.D. student, Advisor: Prof. Baoping Yan General Group for Advancing e-Science Applications Computer Network Information Center, Chinese Academy of Sciences (CNIC, CAS), China Email: ahwangyuwei@cnic.cn

  43. 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

  44. TalitaPerciano Costa Leite Bachelor’s degree in Computer Science from Federal University of Alagoas - Brazil Advisor: Alejandro C. Frery Data mining, computational statistics, R software, image processing 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) 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)

  45. Current work USP e-Science Research Network Roberto 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

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