Peter Bajcsy Dr. Peter Bajcsy has left NCSA in June 2011 for a position at NIST. ISDA Group leader and Research Scientist, NCSA Adjunct Assistant Professor of Electrical and Computer Engineering and Computer Science Departments Associate Director for Data Analytics and Pattern Recognition, Institute for Computing in Humanities, Arts and Social Science (I-CHASS) Illinois Informatics Institute (I3)

Contact Information:

Office: 1205 West Clark Street, Urbana, IL 61801, NCSA building, Room 2002b
Phone: (217) 265-5387
Fax: (217) 244-7396
Email: pbajcsy @ ncsa.uiuc.edu

Research Interests

X-informatics (doc-informatics, bio-informatics, hydro-informatics, sensor-informatics, medical image informatics), advanced sensors and imaging, image processing, machine vision, data mining and pattern recognition.

My research is about X-informatics, where the X stands for document, hydro, geo, bio, medical image, or sensor. I am interested in theoretical modeling and experimental understanding of multi-instrument measurement systems that deal with multi-dimensional multi-variate data, as well as in automation and design of computer-assisted systems that deal with large volumes and computational intensive processing of heterogeneous data. One could view the contribution of my work in building bridges from raw data to information and to knowledge where the raw data come from ubiquitous multi-instrument measurement systems, as well as in understanding computational and algorithmic challenges for automated data-centric operations.

Research Statement

Peter Bajcsy's research involves research and development of solutions to real life problems in the application areas of machine vision, synthetic aperture radar (SAR) target and scene modeling, land use and land cover classification, bio-informatics, document appraisal, microscopy and medical image processing, geo-spatial information systems (GIS) and advanced sensor environments. His work draws from theoretical foundations of image and video processing, computer vision, statistical modeling, data mining and pattern recognition, software engineering and sensor design. The main goal of his research and development is to automate information processing of repetitive, laborious and tedious analysis tasks and build user-friendly decision-making systems that operate in automated or semi-automated mode in a variety of applications.

Education

Ph.D., University of Illinois at Urbana-Champaign, 1997
M.S., University of Pennsylvania, 1994
Diploma Engineer, Slovak Technical University, 1987

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Research Projects   (current and past)

• CyberInfrastructure environments:
  • Understanding Computational Requirements of Preservation and Reconstruction
  • Lowering Adoption Barriers of Workflow Systems
• Analyses of Electronic Records and Historical Documents:
  Electronic Records:
  • Understanding Preservation and Reconstruction of Electronic Records
  PDF document understanding: image and text extraction and classification. PDF capabilities of Im2Learn Historical Documents:
  • Digging into image data.
  • Cyber Tools to Aid Understanding of the Medieval French Book Trade
  • Bicentennial Celebration of Abraham Lincoln's Birth
• Inteligent spaces:
  Tele-immersive Environments:
  • Remote Dance
  • Remote Wheelchair Basketball Coaching
  • GroupScope - Supporting Social Science Research
  Hazard Aware Environments:
  • Robotic teleoperation.
• Hyperspectral Imagery
• Understanding Medical and Bio-informatics Data:
  • Medical 3D Volume Reconstruction for CLMS
  • Integration, Analysis and Visualization of Large Size Multi-Modal 3D Medical Imagery
  • DNA Microarray Data Processing
  • ECHO: A System for Fighting Childhood Obesity with Screening, Intervention and Tracking
• Large datasets with geospatial information:
  • Learning from Geospatial Data, GeoLearn
  • Algal Biomass Prediction
  • Groundwater Recharge And Discharge Estimation
  • Costa Rica 2050
  • Environmental Modeling.

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Software Libraries

Image To Learn (Im2Learn)
CyberIntegrator
Spatial Pattern To Learn (SP2Learn)
Image Provenance To Learn (IP2Learn)
Geospatial Image To Learn (GeoLearn)
Image To Knowledge (I2K)
Polyglot
Document To Learn (Doc2Learn)
File To Learn (File2Learn)

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Publications and Presentations

Recent Journal and Conference Reviews:

• IEEE Signal Processing Letters, Spring 2007
• IEEE International Symposium on Circuits and Systems, 2007
• EURASIP Journal on Applied Signal Processing, 2006
• Journal of Microscopy, 2006
• IEEE Trans. on Intelligent Transportation 2006
• International Journal of Computers and Applications, 2006
• IEEE Transactions on Medical Imaging 2006
• The Workshop on Mining Engineering and Scientific Datasets at SIAM conference, 2006
• Computing in Science & Engineering, 2006
• IEEE Transactions on Geoscience and Remote Sensing, 2005, 2006
• IEEE/ACM Transaction on Computational Biology and Bioinformatics 2005
• SPIE Conference on Visualization and Data Analysis 2006
• International Journal of Applied Math and Computer Science 2005
• IEEE Workshop on Computer Vision Methods for Bioinformatics (CVMB at CVPR) 2005
• IEEE on Pattern Analysis and Machine Intelligence, Fall 2004
• ACM/Springer Journal on Multimedia Systems, 2004
• 2^nd International Conference on Computing, Communication and Control Technologies (CCCT), 2004 and 2005
• International IEEE Conference on Intelligent Transportation Systems (ITSC), 2004 and 2005
• Multiconference on Systemics, Cybernetics and Informatics (SCI) conference, 2004
• SPIE conference on Visualization and Data Analysis, 2003
• ACM Multimedia Systems JOURNAL (Springer), Fall 2002
• IEEE Signal Processing Letters, Fall 2002