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Dr. Konar’s research areas include the study of computational intelligence algorithms and their applications to the entire domain of Electrical Engineering and Computer Science. Specifically, he worked on fuzzy sets and logic, neurocomputing, genetic algorithm, swarm intelligence, differential evolution, Dempster-Shafer theory and Kalman filtering, and applied the principles of computational intelligence in image understanding, control engineering, VLSI CAD, mobile robotics, bioinformatics, mobile computing, embedded systems, and affective computing.
Dr. Konar has been nominated as a Fellow of National Academy of Engineering (FNAE) in 2015.
Dr. Konar has been nominated as a Fellow of National Academy of Engineering (FNAE) in 2015.
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2024 IEEE 3rd International Conference on Control, Instrumentation, Energy & Communication (CIEC)pp.209-214, (2024)
2023 8th International Conference on Computers and Devices for Communication (CODEC)pp.1-2, (2023)
Lecture notes in electrical engineeringpp.147-162, (2023)
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2023 8th International Conference on Computers and Devices for Communication (CODEC)pp.1-2, (2023)
2023 8th International Conference on Computers and Devices for Communication (CODEC)pp.1-2, (2023)
IJCNNpp.1-8, (2023)
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2023 8th International Conference on Computers and Devices for Communication (CODEC)pp.1-2, (2023)
Intelligent Systems and Human Machine Collaborationpp.163-177, (2023)
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