Debasis Mitra is a Professor in the Department of Computer Science at Florida Institute of Technology. He received a Ph.D. in Computer Science from the Center for Advanced Computer Studies of the University of Louisiana at Lafayette. Mitra's first Ph.D. was in Physics from the Indian Institute of Technology at Kharagpur. He was an Assistant and Associate Professor in Computer Science at Jackson State University before joining Florida Institute of Technology.

Current focus in Mitra's research is in Bio-medicine. The group is engaged in improving analysis of Nuclear Medical images of heart. A long term vision is to understand the molecular biology of Coronary desease for improving human health. The group also works on Bio-informatics and Knowledge-representation. In the past Mitra has worked on reasoning with spatial and temporal knowledge.

Courses

I do not teach. I learn, along with students.

On a: learning contract
Stanford class-central
Stanford coursera
MIT mitx
MIT udacity

Announcement for RA

Apast talk for Remi recruitment

A talk on Medical imaging

Graduate Students

Group in Fall 2012 image

Alumni (Thesis/Dissertation)

  • Daniel Eiland, M.S., Harris Corp.
  • Antall Fernandes, M.S., Visible Measures Corp, Boston,
  • Richard Hoch, M.S., General Dynamics
  • Florent Launay, M.S., Microsoft Corp.
  • Sung Park, M.S., Microsoft Corp.
  • Keith Ledig, M.S., Harris Corp.
  • Gandhali Samanth, M.S., Progressive Insurance
  • Michael Smith, M.S., (-not available-, in New York)

Alan Bundy's Page on how-to-do research

Current Collaborators

Past Summer Interns

  • Avishek Bannerjee, IIT Khragapur (2009)
  • Gaurav Mangukya, IIT Kharagpur (2009)
  • Sanchit Gupta, IIT Delhi (2008)

Acknowledgements

Some university rankings

Learning about the laws of nature has always facinated me. So I started my higher education studying physics. I did my first Ph.D. on mathematical physics, working on Lorentz Groups. While pursuing my Ph.D. at IIT I was hired by one of the largest companies, Oil and Natural Gas Commission, in India, my country of origin. I worked as an exploration geophysicist there, on areas like petroleum geology, onshore and offshore field geophysics, and yes, a lot of data processing. I fell in love with the art of programming and became overwhelmed with the idea that the computers could be 'programmed' to think. At this point in my career I decided that I have had enough in oil business and should learn about computers and artificial intelligence more seriously. I joined the University of Louisiana at Lafayette as a graduate student in computer science. 'Time' became once again my area of investigation, as it was during my past graduate study in physics. This time I looked into it from the computational point of view - how to reason with it. After completing my second Ph.D. I have decided to teach computer science while continuing my journey of delving more and more into 'space' and 'time.' So, here I am! But, stay tuned for more, or view my projects site.

A disclaimer: I am not the Debasis Mitra, who works on distributed computing in Bell Lab, and who recived the prestigious Bhatnagar Award in India.

Projects

INVERSE PROBLEMS

Medical Imaging
Our objective in this project is to translate raw data from SPECT (Single Photon Emmission Computer Tomography) and PET (Positron Emmission Tomography) scans of heart into diagnostic or prognostic information. The group focuses on data that is dynamic in nature. We collaborate with cardiologists and a National laboratory (LBNL, Berkeley, CA) in this effort.
Muon Tomography
Muons are leptons (weakly interacting elementary particles) that are highly penetrating because of low charge (same as that of electron) but high momentum (about two hundred times heavier than electron). This makes them ideal probe for detecting materials with higher atomic numbers (Z). Steady flux of muons are produced by cosmic ray at upper atmosphere. This type of natural muons can be used as non-invasive probes for charting magma chambers in volcanos, hidden chambers in pyramids, and for detecting Uranium-like high-atmoic number materials in cargo containers. Our project is related to the last area. Our group collaborates with a High Energy Physics lab at FIT. We work on reconstruction algorithms for muon-tomography.

KNOWLEDGE MANAGEMENT

Science or engineering researchers produce copious amounts of data in their experiments. Often management of data becomes unwildy, even when each data set is not necessarily very large. Typically researchers keep track of data with directory hierarchy and file naming conventions. This becomes extremely cumbersome and expensive in terms of time needed to find out necessary data and resulting in repetition of experiments that may have been done before. A database for keeping track of metatdata (information on data) is essential. We are engaged in studying this aspect of experiment-related data management. We also addressed the issue of organizing knowledge behind a scientific or engineering experiment. The objective is to help a scientist in answering queries about the experiment or data produced for the experiments. A long term goal is to understand how creativity can be computationally modeled in scientific works and how such a knowledge management system can debug an experimental set up or protocol. Our present application focus is in bio-medical experiments. Currently we are engaged in developing a meta-database management system for Nuclear imaging research.

COMPUTATIONAL MOLECULAR BIOLOGY

Computational Molecular Biology
A protein is a chain of amino acids that forms a complex structure in 3D. Each protein typically has the same structure and its function is often determined by this structure. Thus, proteins are classified according to their strucutures and comparing protein structures is a serious algorithmic business. We are engaged in studying and developing such structural comparison techniques.

Finished Project: SPATIO-TEMPORAL CONSTRAINT REASONING

Spatio-temporal Reasoning
A typical Constraint Reasoner checks for satisfiability in an input set of constraints. For a satisfiable set it may also generate a consistent scenario. However, traditionally nothing is done with an inconsistent set of information. Any user of such a system would often wish that the system were more helpful in debugging an inconsistet situation. We addressed this issue in relation to time-interval relations where constraints are qualitative and disjunctive (e.g.,before or overlaps) in nature.
For the other past projects please see the full CV

Publications

Tomography

  • ““Optimization of Regularization Parameter in Reconstruction Algorithm,” Mahmoud Abdalah, Rostyslav Boutchko, Debasis Mitra, Shi Chen, Grant T. Gullberg. IEEE Nuclear Science Symposium and Medical Imaging Conference,, Seoul, Korea, October 2013.
  • ““A Maximum A Posteriori (MAP) Algorithm for Estimating Blood Input Function and Myocardial Time Activity Curves in Dynamic SPECT,” Abdalah, Mahmoud; Boutchko, Rostyslav; Mitra, Debasis ; Chen, Shi; and Gullberg, Grant T. The Sixth World Molecular Imaging Congress, Savannah GA., 2013.
  • ““A Data Management System with Web Interface for Pre-clinical Multi-modality Imaging: ReMI,” Mitra, Debasis ; Pan, Hui; Abdalah, Mahmoud; Boutchko, Rostyslav; Boswell, Martin; and Gullberg, Grant T. The Sixth World Molecular Imaging Congress, Savannah GA., 2013.
  • ““ReMI: An Object-relational Image Database for Nuclear Medicine Research,” Boutchko, Rostyslav; Fernandes, Antall; Pan, Hui; Abdalah, Mahmoud; Giannakidis, Archontis; Boswell, Martin; Mitra, Debasis; Gullberg, Grant T. Annual Conference of Society of Nuclear Medicine, Vancouver, BC, Canada, 2013.
  • ““A Dynamic Regularization for Time Activity Curve Estimation in Dynamic Pinhole SPECT,” Mahmoud Abdalah, Rostyslav Boutchko, Debasis Mitra, Shi Chen, and Grant T. Gullberg. Oral Presentation to The Fully-3D conference, Lake Tahoe, CA, June, 2013.
  • ““The Importance of Regularization and Parameter Selection for Time Activity Curves Estimation in Dynamic SPECT,” Mahmoud Abdalah, Rostyslav Boutchko, Debasis Mitra, Shi Chen, Grant T. Gullberg. IEEE International Symposium on Bio-medical Imaging, San Francisco, CA, April 2013.
  • ““SinoCor: Inter-frame and Intra-frame motion correction tool,” Daniel Eiland, Debasis Mitra, Mahmoud Abdalah, Rostyslav Butchko, and Grant T. Gullberg. IEEE Nuclear Science Symposium and Medical Imaging Conference, Anaheim, CA, 2012.
  • ““Imaging Progression of Cardiac Hypertrophy In Spontaneously Hypertensive Rats Using Dynamic SPECT with Pinhole Collimation,” Rostyslav Boutchko, Kathleen Brennan, Mahmoud Abdalah, Debasis Mitra, Grant Gullberg. IEEE Nuclear Science Symposium and Medical Imaging Conference, Anaheim, CA, 2012.
  • ““The Importance of Regularization and Parameter Selection for Time Activity Curves Estimation in Dynamic SPECT,” Mahmoud Abdalah, Rostyslav Boutchko, Debasis Mitra, Shi Chen, Grant T. Gullberg. IEEE International Symposium on Bio-medical Imaging, San Francisco, CA, April 2013.
  • ““A Dynamic Regularization for Time Activity Curve Estimation in Dynamic Pinhole SPECT,” Mahmoud Abdalah, Rostyslav Boutchko, Debasis Mitra, Shi Chen, and Grant T. Gullberg. Accepted to the Fully-3D conference, Lake Tahoe, CA, June, 2013.
  • ““ReMI: An Object-relational Image Database for Nuclear Medicine Research,” Boutchko, Rostyslav; Fernandes, Antall; Pan, Hui; Abdalah, Mahmoud; Giannakidis, Archontis; Boswell, Martin; Mitra, Debasis; Gullberg, Grant T. Annual Conference of Society of Nuclear Medicine, Vancouver, BC, Canada, 2013.
  • “Imaging Myocardial Perfusion and Neuronal Activity In Rat Hearts Using Dynamic Pinhole SPECT; in Proc. of World Molecular Imaging Conference, Dublin, Ireland, 2012,
    Rostyslav Boutchko, Kathleen Brennan, Mahmoud Abdalah, Debasis Mitra, Ruud Ramakers, Freek Beekman, and Grant Gullberg.
  • “The Importance of Regularization and Parameter Selection for Time Activity Curves Estimation in Dynamic SPECT; in Proc. of IEEE Nuclear Science Symposium and Medical Imaging Conference, Anaheim, CA, 2012,
    Mahmoud Abdalah, Rostyslav Boutchko, Debasis Mitra, Shi Chen, Grant T. Gullberg.
  • “SinoCor: Inter-frame and Intra-frame motion correction tool; in Proc. of IEEE Nuclear Science Symposium and Medical Imaging Conference, Anaheim, CA, 2012,
    Daniel Eiland, Debasis Mitra, Mahmoud Abdalah, Rostyslav Butchko, and Grant T. Gullberg.
  • “SinoCor: Motion Correction in SPECT,” in Proc. of SPIE Medical Imaging Conference,, San Diego, 2012,
    Debasis Mitra, Daniel Eiland, Mahmoud Abdalah, Rostyslav Boutchko, Grant T. Gullberg, and Norberto Schechtmann. [PDF]
  • “Imaging of high-Z material for nuclear contraband detection with a minimal prototype of a muon tomography station based on GEM detectors,” "Nuclear Instruments and Methods in Physics Research A",, 652 (2011) 16–20
    Kondo Gnanvo, Leonard V. Grosso III, Marcus Hohlman, Judson B. Locke, Amilkar Quintero, and Debasis Mitra.
  • “GEANT4 Simulation of a Cosmic Ray Muon Tomography System with Micro-Pattern Gas Detectors for the Detection of High-Z Materials,” "Transactions on Nuclear Science", VOL. 56, NO. 3, JUNE 2009
    Marcus Hohlmann, Patrick Ford, Kondo Gnanvo, Jennifer Helsby, David Pena, Richard Hoch, and Debasis Mitra. [PDF]
  • “Muon Tomography Algorithms for Nuclear Threat Detection,” "Lecture Notes in Artificial Intelligence" series, Springer Verlag, June 2009, (Proc. of the 22nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems - IEA/AIE-2009)
    Richard Hoch, Debasis Mitra, Marcus Hohlman, and Kondo Gnanvo. [PDF]
  • “Performance Expectations for a Tomography System Using Cosmic Ray Muons and Micro Pattern Gas Detectors for the Detection of Nuclear Contraband,” in Proc. of the IEEE Nucl. Sci. Symp. 2008, Dresden, Germany, pp. 1278-1284, IEEE Cat. CFP08NSS-CDR, ISBN 978-1-4244-2715-4, ISSN 1082-3654, e-Print: arXiv:0812.1007.
    Kondo Gnanvo, Patrick Ford, Jennifer Helsby, Richard Hoch, Debasis Mitra, and Marcus Hohlman. [PDF]
  • “GEANT4 Simulation of a Cosmic Ray Muon Tomography System with Micro-Pattern Gas Detectors for the Detection of High-Z Materials,” IEEE Trans. Nucl. Sci., Vol.56, No.3, pp. 1356-1363, June 2009. (Proc. of the 2008 Symposium on Radiation Measurements and Application - SORMA West, Berkeley, June 2008,)
    Marcus Hohlmann, Patrick Ford, Kondo Gnanvo, Jennifer Helsby, David Pena, Richard Hoch, and Debasis Mitra. [PDF]

Spatio-temporal Reasoning

  • “Explanation Generation over Temporal Interval Algebra,” in Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions.' Shyamanta M. Hazarika (Editor), Information Science Publishing, ISBN: 1616928689, August 1, 2010.
    Debasis Mitra and Florent Launay. [PDF]
  • “Spatial-reasoning for Agents in Multiple Dimensions,” Journal of Universal Computer Science, vol. 8, no. 8, pp. 774-791, August, 2002
    Debasis Mitra, and Gerard Ligozat. [PDF]
  • “Explanation Generation over Temporal Interval Algebra,” in Technical Note of AAAI Spring Symposium on Bechmarking Spatial and Temporal Reasoning Systems, Stanford University, March 2009.
    Debasis Mitra. [PDF]
  • “Qualitative Direction Calculi with Arbitrary Granularity,” in Pacific Rim Conference on AI (PRICAI), 2004
    Jochen Renz and Debasis Mitra. [PDF]

Computational Molecular Biology

  • “Correlogram-based method for comparing biological sequences,” Debasis Mitra, Gandhali Samant and Kuntal Sengupta, Proceedings of the 19th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 06), Annecy (France), LNAI Springer Verlag, 2006.
  • "Digital Signal Processing in Predicting Secondary Structure of Proteins," Debasis Mitra and Michael Smith, Proceedings of the IEA/AIE-2004 conference, Springer Lecture Notes on AI.

Other areas

  • “Three generations of research in computational creativity and beyond,” in Association for Advancement of Artificial Intelligence Spring Symposium on Creative Intelligent Systems (AAAI Tech Report). (Eds.) Ventura, D., Maher, M. L., and Colton, S.; Stanford, California, March 2008.
    Debasis Mitra. [PDF]
  • “Creativity in Knowledge-bases,” an abstract in NSF Workshop Notes on Creative IT at Washington D.C., January 2009.
    Debasis Mitra. [PDF]
  • More to be posted soon
For a list of all publications please see the full CV

Debasis Mitra

Knowledge, not arrogance! Please!
Address: FIT, Melbourne, Florida 32901

Spring 2013 Office Hrs. T2-3p R2-4p

dmitra at cs.fit dot edu
Phone: 321-674-7737
Fax: 321-674-7046