Lalit Gupta
Professor
Engineering
Southern Illinois University
United States of America
Biography
Ph.D. Electrical Engineering, Southern Methodist University, Dallas, Texas
Research Interest
Dr. Gupta's research interests are in pattern recognition, neural networks, and signal processing. He has considerable expertise in designing systems for diverse problems such as automatic target recognition, brain-waveform analysis and classification, predicting item difficulties in reading comprehension tests, and predicting and classifying general temporal sequences. He has been awarded contracts from the Army Research office to conduct research in the development of smart munitions, from Seagate Technology on image compression research, from Cleveland Medical Devices on NIH funded projects related to brain wave form analysis and classification, from Think-A-Move Inc. on a NIH funded project related to Human-Machine Interfacing, from Neuronetrix on a NIH funded project on detecting neurological disorders from evoked potentials, and from the Naval Postgraduate School on research related to Human-Machine Interfacing. He is also a Co-PI of a $1.2 million grant from NSF aimed at increasing retention and graduation rates in the College of Engineering at SIUC. Dr. Gupta has numerous publications in the areas of neural networks, evoked potential analyses and classification, and multi-channel/sensor information fusion strategies. Dr. Gupta serves as an Associate Editor of the Pattern Recognition Journal, is a Senior Member of the IEEE, and is listed in Marquis Who’s Who in America.
Publications
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L. Gupta, “Segmentation and classification of degraded target signatures for smart munitions,†Army Research Office/Battelle, 4/1/93-9/30/93.
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L. Gupta, “The robust detection of specific target features for smart munitions,†Army Research Office/Battelle, 5/15/92-12/31/92.
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L. Gupta, “A neural network approach to the detection of degraded target signatures for smart munitions,†Army Research Office/Battelle, 5/1/91-2/28/92.