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Faculty Directory Mousumi Laha
Mousumi Laha

Mousumi Laha

Associate Professor

[email protected]
Vidwan Profile Google Scholar

Academic Information

Ph.D , JU, 2022, Post doc. Liverpool Hope University, 2023

Research Areas

Human computer Interaction Brain Computer Interface Neuromorphic computation Artificial Intelligence and Deep Learning Fuzzy sets and Fuzzy logic system

Research Interests

Human computer Interaction Brain Computer Interface Neuromorphic computation Artificial Intelligence and Deep Learning Fuzzy sets and Fuzzy logic system

Courses Taught

Computer Organization and Architecture
Data Structure and Algorithms
Digital Electronics
Analog Electronics

Positions Held

Associate Professor
Assistant Professor
Project Assistant au JU

Publications

1. A. Saha, A. Majumdar, D. Base, H. Manna, S. Bhattacharjee, M. Laha, “Integrating Brain-ComputerInterface (BCI) for Assessing Olfactory Perceptual-Ability of Human Subjects using TSK-Induced Interval Type-2 Fuzzy Classifier,” Grenze International Journal of Engineering & Technology (GIJET), vol. 11, 2025. 01.GIJET.11.1.21 2. M. Laha, A. Konar, P. Rakshit, and A. K. Nagar, “Hemodynamic analysis for olfactory perceptual degradation assessment using generalized type-2 fuzzy regression,” IEEE Transactions on Cognitive and Developmental Systems, vol. 14, no. 3, pp. 1217-1231, 2021. 10.1109/TCDS.2021.3101897 3. M. Laha, A. Konar, P. Rakshit, and A. K. Nagar, “Exploration of subjective color perceptual-ability by EEG-induced type-2 fuzzy classifiers,” IEEE Transactions on Cognitive and Developmental Systems, vol. 12, no. 3, pp. 618-635, 2019. 10.1109/TCDS.2019.2959138 4. M. Laha, A. Konar, A. K. Nagar, “Olfactory perceptual-ability assessment by near-infrared spectroscopy using vertical-slice based fuzzy reasoning,” IEEE Access, vol. 11, pp. 17779-17792, 2023. 10.1109/ACCESS.2023.3243699 5. M. Laha, S. Ghosh, and A. Konar, (2023, December). ‘Exploration of Depth Perception in Human Binocular Vision using EEG-Based Neuro-Fuzzy Classifier,” In 2023 8th International Conference on Computers and Devices for Communication (CODEC),pp. 1-2, December 2023 IEEE. 10.1109/CODEC60112.2023.10465956 6. 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,” In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 3099-3106). IEEE, December, 2020. 10.1109/SSCI47803.2020.9308335 7. M. Laha, A. Konar, “Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects by General Type-2 Fuzzy Reasoning,” In Doctoral Symposium on Intelligence Enabled Research , pp. 99-111. Singapore: Springer Nature Singapore, December, 2022. https://doi.org/10.1007/978-981-99-1472-2_9 8. M. Laha, D. Bose, A. Konar, "TSK-based Type-2 Fuzzy Analysis of Infrared Spectroscopic Data for Classification of Touch-Induced Affection," International Conference on Intelligent System and Human Machine Collaboration (ICISHMC), Springer, 2022.