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Faculty Profiles

Faculty Profiles

Mitra, Debasis

Professor, Computer Engineering and Sciences

Hello World!

This is not the first program I learnt to code. I did matrix inversion.

And we still do similar codings in our lab!

Personal Overview

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. In the past Mitra has worked on reasoning with spatial and temporal knowledge. He is a recipient of the National Science Foundation Career Award and the HEADWAE award for research and teaching excellence in Mississippi.

Current research focus in Mitra's Lab is in Bio-medicine. The group is engaged in improving analysis of Nuclear Medical images of heart. A long term vision in the lab is to understand the molecular biology of Coronary desease for improving human health. The group also works on Bio-informatics and Knowledge-representation with this objective.

Students about to complete their Bachelor's/Master's/Ph.D. & interested in joining the group are welcome to contact Mitra.

Educational Background

M.S. Indian Institute of Technology at Kharagpur
Ph.D.-Physics, Indian Institute of Technology at Kharagpur
Ph.D.-Comp. Sc., University of Louisiana at Lafayette

Recognition & Awards

Academic Excellence, by Legislature of Mississippi

Career Award, National Science Foundation

Current Courses

Algorithms,  Medical Imaging,  Artificial Intellegence,  Scientific Computing,  Formal Languages and Automata Theory


Professional Experience

Professorial ranks: Jackson State University, MS., and Florida Inst. of Tech., FL

Visiting researcher: Lawrence Berkeley Lab, CA; University of Paris,France; Vienna Inst. of Tech., Austria; Linkopings University, Sweden; Indian Inst. Tech. Mumbai, India; Tata Inst. of Fundamental Research Mumbai, India; and Asian Inst. of Tech. Bangkok, Thailand

Additional Duties

Visiting Scientist, Lawrence Berkeley National Lab, California

Affiliate, University of California San Francisco

Current Research

Medical Imaging: processing nuclear medical images for improving diagnosis of cardiac desease.

Scientififc Datbases: storing and managing experimental data for reuse.

Inverse problem: tomographic reconstruction for emission, transmission and scattering data.

Selected Publications

“Clustering Initiated Factor Analysis (CIFA) Application for Tissue Classification in Dynamic Brain PET.” Boutchko R, Mitra D, Baker S, Jagust W, and Gullberg GT. Journal of Cerebral Blood Flow & Metabolism – Nature, doi:10.1038/jcbfm.2015.69, April 2015.

 “Reconstruction of 4-D Dynamic SPECT Images From Inconsistent Projections Using a Spline Initialized FADS Algorithm (SIFADS).” Abdalah M, Boutchko, R, Mitra D, and Gullberg GT. IEEE Transactions in Medical Imaging, 34(1): 216-228, 2015.

"Explanation Generation over Temporal Interval Algebra," Debasis Mitra and Florent Launay. Book chapter in 'Qualitative Spatio-Temporal Representation and Reasoning: Trends and Future Directions.' Shyamanta M. Hazarika (Editor), Information Science Publishing, ISBN: 1616928689, August 1, 2010.

“Imaging of high-Z material for nuclear contraband detection with a minimal prototype of a muon tomography station based on GEM detectors,” Kondo Gnanvo, Leonard V. Grosso III, Marcus Hohlman, Judson B. Locke, Amilkar Quintero, and Debasis Mitra. "Nuclear Instruments and Methods in Physics Research A", 652 (2011) 16–20.

“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.

“Muon Tomography Algorithms for Nuclear Threat Detection,” Richard Hoch, Debasis Mitra, Marcus Hohlman, and Kondo Gnanvo.Lecture Notes in Artificial Intelligence, Series: “Next-Generation Applied Intelligence.” Chien BC, Hong TP, Chen SM, and Ali M. (Eds) Springer Verlag, 214: 225-231, 2009.