Prof.

Amit Konar, FNAE, FAScT, FAAIA, SMIEEE

Department : Department of Electronics & Telecommunication Engg

Designation : Professor

Address : Room No. CC-3-20, ETCE Department, 188, Raja Subodh Chandra Mallick Rd, Jadavpur, Kolkata, West Bengal 700032

E-Mail: konaramit@yahoo.co.in

Mobile Number: 7439213789

About

Amit Konar is currently a Professor and active researcher in the department of Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata, India with a h-index of 50 and Google scholar citation over 14000. He earned his B.E. degree in Electronics and Tele-Communication Engineering from Indian Institute of Engineering Science and Technology (previously, Bengal Engineering College), Kolkata in 1983, his M.E. degree in Control Engineering, M. Phil. degree in System Modelling and Ph.D. degree in Artificial Intelligence, all from Jadavpur University in 1985, 1988 and 1994 respectively. Dr. Konar is the author of 15 books including two popular texts, Artificial Intelligence and Soft Computing: Behavioral and Cognitive Modeling of the Human Brain, (CRC Press) in 2000 and Computational Intelligence: Principles, Techniques and Applications, (Springer) in 2005. He has published 35 peer-reviewed book chapters and over 100 research papers in leading international journals (including 29 IEEE Transactions), and over 350 research papers published in IEEE Flagship Conference proceeedings. He has supervised 29 Ph.D. theses and over 400 Masters theses, all in the broad area of Cognitive Neuro-science, AI and Robotics. Dr. Konar delivered keynote/tutorial speech in top flagship IEEE Conferences including WCCI-2020 and ICASSP-2016. He has been serving as the Associate Editor of IEEE TFS and IEEE TETCI for several years. Dr. Konar is currently the EIC of the Springer book series on Cognitive Intelligence and Robotics. He served as the Coordinator/Principal Investigator of several National level projects funded by Government of india and industries. His current research interest includes Cognitive Neuroscience, Type-2 Fuzzy Logic, Multi-agent Systems and Scientific Creativity.

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Subjects Taught

• CONTROL ENGINEERING, UG-ETCE, 3rd Year, 1st Semester• DIGITAL CONTROL SYSTEMS, UG-ETCE, 3rd Year, 2nd Semester• BRAIN COMPUTER INTERFACES, UG, Multi-Departmental Open Elective, Final Year 2nd Semester• ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PG Multi-Departmental Core Paper• EMBEDDED SYSTEMS, PG Multi-Departmental Elective Paper• PATTERN RECOGNITION AND MACHINE INTELLIGENCE, UG-ETCE, Final Year 1st Semester Elective Paper• COMPUTER ARCHITECTURE AND SYSTEM SOFTWARE LAB, UG-ETCE Final Year 1st Semester• CONTROL ENGINEERING LAB, UG-ETCE 3rd Year 1st Semester• DIGITAL CONTROL LAB, UG-ETCE 3rd Year 2nd Semester• COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, PG Multi-Departmental Elective Paper• INTELLIGENT ROBOTS, M.Tech. IAR Evening Program

Research Interests

• Artificial Intelligence• Brain-Computer Interfaces• Rehabilitative Robotics• Cognitive Neuroscience• Multi-Agent Coordination• Computational Creativity• Type-2 Fuzzy Sets and Reasoning

Notable Activities

• Prof. Konar gave a keynote address on Brain-Computer Interfaces in IEEE Computational Intelligence Society Flagship conference: WCCI 2020.• He delivered tutorial speech in IEEE Signal Processing Society Flagship Conference: ICASSP-2016.• Currently acts as Associate Editor of IEEE Transactions on Fuzzy Systems and IEEE Transactions on Emerging Trends in Computational Intelligence• Prof. Konar holds a Visiting (Honorary) Professor position at Math and Computer Science Department, Liverpool Hope University, Liverpool, UK since 2018.

Notable Achievements

• AICTE-accredited Career Award for Young Teachers for the period 1997-2000 for exceptional contributions in teaching and research.• Fellow of West Bengal Academy of Science and Technology (FAScT) in 2010 for significant research contribution in Artificial Intelligence.• Fellow of National Academy of Engineering (FNAE) in 2014 for significant research contribution in Brain-Computer Interfacing.• Fellow of Asia-Pacific Artificial Intelligence Association(FAAIA) , 2022 for significant contributions in Artificial Intelligence Research.

Journal Papers Published

• M. Laha, A. Konar and A. K. Nagar, "Olfactory Perceptual-Ability Assessment by Near-Infrared Spectroscopy Using Vertical-Slice Based Fuzzy Reasoning," in IEEE Access, vol. 11, pp. 17779-17792, 2023, doi: 10.1109/ACCESS.2023.3243699. • M. Laha, A. Konar, P. Rakshit and A. K. Nagar, "Hemodynamic Analysis for Olfactory Perceptual Degradation Assessment Using Generalized Type-2 Fuzzy Regression," in IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 3, pp. 1217-1231, Sept. 2022, doi: 10.1109/TCDS.2021.3101897. • R. Kar, L. Ghosh, A. Konar, A. Chakraborty and A. K. Nagar, "EEG-Induced Autonomous Game-Teaching to a Robot Arm by Human Trainers Using Reinforcement Learning," in IEEE Transactions on Games, vol. 14, no. 4, pp. 610-622, Dec. 2022, doi: 10.1109/TG.2021.3124340. • B. Chakraborty, L. Ghosh and A. Konar, "Optimal Selection of EEG Electrodes Using Interval Type-2 Fuzzy-Logic-Based Semiseparating Signaling Game," in IEEE Transactions on Cybernetics, vol. 51, no. 12, pp. 6200-6212, Dec. 2021, doi: 10.1109/TCYB.2020.2968625. • A. Rakshit, A. Konar and A. K. Nagar, "A hybrid brain-computer interface for closed-loop position control of a robot arm," in IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 5, pp. 1344-1360, September 2020, doi: 10.1109/JAS.2020.1003336. • M. Laha, A. Konar, P. Rakshit and A. K. Nagar, "Exploration of Subjective Color Perceptual-Ability by EEG-Induced Type-2 Fuzzy Classifiers," in IEEE Transactions on Cognitive and Developmental Systems, vol. 12, no. 3, pp. 618-635, Sept. 2020, doi: 10.1109/TCDS.2019.2959138. • B. Chakraborty, L. Ghosh and A. Konar, "Designing Phase-Sensitive Common Spatial Pattern Filter to Improve Brain-Computer Interfacing," in IEEE Transactions on Biomedical Engineering, vol. 67, no. 7, pp. 2064-2072, July 2020, doi: 10.1109/TBME.2019.2954470. • L. Ghosh, A. Konar, P. Rakshit and A. K. Nagar, "Mimicking Short-Term Memory in Shape-Reconstruction Task Using an EEG-Induced Type-2 Fuzzy Deep Brain Learning Network," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, no. 4, pp. 571-588, Aug. 2020, doi: 10.1109/TETCI.2019.2937566. • A. K. Sadhu and A. Konar, "An Efficient Computing of Correlated Equilibrium for Cooperative $Q$ -Learning-Based Multi-Robot Planning," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 8, pp. 2779-2794, Aug. 2020, doi: 10.1109/TSMC.2018.2865488. • L. Ghosh, A. Konar, P. Rakshit and A. K. Nagar, "Hemodynamic Analysis for Cognitive Load Assessment and Classification in Motor Learning Tasks Using Type-2 Fuzzy Sets," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 3, no. 3, pp. 245-260, June 2019, doi: 10.1109/TETCI.2018.2868323. • S. Bhattacharyya, A. Konar and D. N. Tibarewala, "Motor imagery and error related potential induced position control of a robotic arm," in IEEE/CAA Journal of Automatica Sinica, vol. 4, no. 4, pp. 639-650, 2017, doi: 10.1109/JAS.2017.7510616. • A. Saha, A. Konar and A. K. Nagar, "EEG Analysis for Cognitive Failure Detection in Driving Using Type-2 Fuzzy Classifiers," in IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 1, no. 6, pp. 437-453, Dec. 2017, doi: 10.1109/TETCI.2017.2750761. • S. Chakraborty, A. Konar, A. Ralescu and N. R. Pal, "A Fast Algorithm to Compute Precise Type-2 Centroids for Real-Time Control Applications," in IEEE Transactions on Cybernetics, vol. 45, no. 2, pp. 340-353, Feb. 2015, doi: 10.1109/TCYB.2014.2308631. • A. Saha, A. Konar, A. Chatterjee, A. Ralescu and A. K. Nagar, "EEG Analysis for Olfactory Perceptual-Ability Measurement Using a Recurrent Neural Classifier," in IEEE Transactions on Human-Machine Systems, vol. 44, no. 6, pp. 717-730, Dec. 2014, doi: 10.1109/THMS.2014.2344003. • P. Rakshit, A. Konar, S. Das, L. C. Jain and A. K. Nagar, "Uncertainty Management in Differential Evolution Induced Multiobjective Optimization in Presence of Measurement Noise," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 44, no. 7, pp. 922-937, July 2014, doi: 10.1109/TSMC.2013.2282118. • A. Chakraborty, A. Konar, N. R. Pal and L. C. Jain, "Extending the Contraposition Property of Propositional Logic for Fuzzy Abduction," in IEEE Transactions on Fuzzy Systems, vol. 21, no. 4, pp. 719-734, Aug. 2013, doi: 10.1109/TFUZZ.2012.2230006. • A. Halder, A. Konar, R. Mandal, A. Chakraborty, P. Bhowmik, N. R. Pal and A. K. Nagar, "General and Interval Type-2 Fuzzy Face-Space Approach to Emotion Recognition," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 43, no. 3, pp. 587-605, May 2013, doi: 10.1109/TSMCA.2012.2207107. • P. Rakshit, A. Konar, P. Bhowmik, I. Goswami, S. Das, L. C. Jain and A. K. Nagar, "Realization of an Adaptive Memetic Algorithm Using Differential Evolution and Q-Learning: A Case Study in Multi-robot Path Planning," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 43, no. 4, pp. 814-831, July 2013, doi: 10.1109/TSMCA.2012.2226024.

Publication in Conference Proceedings

• L. Ghosh, A. Konar and A. K. Nagar, "Vertical Slice Based General Type-2 Fuzzy Reasoning and Defuzzification for Control Applications," 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Padua, Italy, 2022, pp. 1-8, doi: 10.1109/FUZZ-IEEE55066.2022.9882577. • L. Ghosh, M. Laha, A. Konar, S. Bhattacharya and A. K. Nagar, "Fuzzy Relational Approach to Determine Functional Brain Connectivity in Learning Tasks for Dyslexia Children Using an f-NIRS Device," 2022 International Joint Conference on Neural Networks (IJCNN), Padua, Italy, 2022, pp. 1-8, doi: 10.1109/IJCNN55064.• S. Ghosh, A. Konar and A. K. Nagar, "Hemodynamic Analysis for Assessment of Scientific Creative Potential of Subjects Using Capsule Graph Neural Network," 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Singapore, 2022, pp. 178-185, doi: 10.1109/SSCI51031. • S. Ghosh, S. Bose, R. S. Chowdhury, A. Konar and A. K. Nagar, "Decoding the Creative Ability of Subjects from Aesthetic Quality Assessment Using Dual Convolution Induced Capsule Network," 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Singapore, 2022, pp. 1319-1326, doi: 10.1109/SSCI51031. • S. Ghosh, A. Konar and A. K. Nagar, "Decoding Subjective Creativity Skill from Visuo-Spatial Reasoning Ability Using Capsule Graph Neural Network," 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen, China, 2021, pp. 1-8, doi: 10.1109/IJCNN52387. • S. Bose, S. Ghosh, A. Konar and A. K. Nagar, "Decoding the Confidence Level of Subjects in Answering Multiple Choice Questions Using EEG Induced Capsule Network," 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 2021, pp. 1-8, doi: 10.1109/SSCI50451. • A. De, M. Laha, A. Konar and A. K. Nagar, "Classification of Relative Object Size from Parietooccipital Hemodynamics Using Type-2 Fuzzy Sets," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, 2020, pp. 1-8, doi: 10.1109/FUZZ48607. • M. Laha, A. Konar, M. Das, C. Debnath, N. Sengupta and A. K. Nagar, "P200 and N400 Induced Aesthetic Quality Assessment of an Actor Using Type-2 Fuzzy Reasoning," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, 2020, pp. 1-8, doi: 10.1109/FUZZ48607. • D. Dewan, L. Ghosh, B. Chakraborty, A. Chowdhury, A. Konar and A. K. Nagar, "Cognitive Analysis of Mental States of People According to Ethical Decisions Using Deep Learning Approach," 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020, pp. 1-8, doi: 10.1109/IJCNN48605. • S. Ghosh, M. Laha, A. Konar and A. K. Nagar, "Decoding of Subjective Pain-Sensitivity by Brain Signal Analysis Using a General Type-2 Fuzzy Classifier," 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, ACT, Australia, 2020, pp. 3099-3106, doi: 10.1109/SSCI47803.

Patents

• Patent Title: Identification of people using multiple skeleton recording devices, US Patent number: US20140341439A1, Type: Grant, Filed: May 16, 2014, Date of Patent: December 8, 2015, Inventors: Kingshuk Chakravarty, Aniruddha Sinha, Diptesh Das, Rohan Banerjee, Amit Konar, and Sudeepto Dutta• Patent Title: Classification of physiological signals using neural networks, statistical classifiers, expert systems or fuzzy systems, Patent number: IN 2013 MU 01938 A, Type: Grant, Date of Patent: 2015-05-29, Inventor: Kingshuk Chakravarty, Diptesh Das, Aniruddha Sinha and Amit Konar, Patent cited by: University of Houston, Arthrovision Inc.,New York University, Motorola, Inc., Los Alamos National Security, Llc, International Business Machines Corporation • Patent Title: Differential evolution-based feature selection, European Patent Number: WO 2014195782 A3, Inventors : Kingshuk Chakravarty, Aniruddha Sinha, Diptesh Das, Rohan Banerjee, Amit Konar, and Sudeepto Dutta, Publication Date: February 5, 2015.

NBA Accreditation:UG-CSE,ETCE (6yrs) & UG-IT,IEE,PE (3yrs)

Prof.

Amit Konar, FNAE, FAScT, FAAIA, SMIEEE

Department : Department of Electronics & Telecommunication Engg

Designation : Professor

Address : Room No. CC-3-20, ETCE Department, 188, Raja Subodh Chandra Mallick Rd, Jadavpur, Kolkata, West Bengal 700032

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NBA Accreditation:UG-CSE,ETCE (6yrs) & UG-IT,IEE,PE (3yrs)