S. Dutta and A. Nandy,"An Extensive Analysis on Deep Neural Architecture for Classification of Subject-Independent Cognitive States", in Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, pp.180-184, ACM 2020, 10.1145/3371158.3371181       Inproceedings

S. Chakraborty, A. Nandy, T. Suzuki, and G. Venture,"Gait abnormality detection using deep convolution network", Handbook of Research on Engineering, Business and Healthcare Applications of Data Science and Analytics, ch.na, pp.1-9, IGI Global, March 2020       Inbook

S. Chakraborty, R. Mishra, A. Dwivedi, T. Das, and A. Nandy,"A Low-Cost Pathological Gait Detection System in Multi-Kinect Environment", in 20th International Symposium on Optomechatronic Technologies (ISOT 2019), Springer, Cham 2020, 10.1007/978-981-15-6467-3       Inproceedings

S. Chakraborty and A. Nandy,"Automatic Diagnosis of Cerebral Palsy Gait Using Computational Intelligence Techniques: A Low-Cost Multi-Sensor Approach", IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.28, no.11, pp.2488-2496, IEEE, October 2020, 10.1109/TNSRE.2020.3028203       Article

J. Chakraborty and A. Nandy,"Discrete wavelet transform based data representation in deep neural network for gait abnormality detection", Biomedical Signal Processing and Control, vol.62, Elsevier, September 2020, 10.1016/j.bspc.2020.102076       Article

A. Tarun and A. Nandy,"Human Gait Classification Using Deep Learning Approaches", in Proceedings of International Conference on Computational Intelligence and Data Engineering, pp.185-199, Springer, Singapore, December 2020, 10.1007/978-981-15-8767-2_17       Inproceedings

S. Hazra, P. Roy, A. Nandy, and R. Scherer,"A pilot study for investigating gait signatures in multi-scenario applications", in International Joint Conference on Neural Networks (IJCNN), pp.1-10, IEEE, July 2020, 10.1109/IJCNN48605.2020.9207632       Inproceedings

S. Dutta, S. Hazra, and A. Nandy,"A Smart Ambulatory Cognitive State Taxonomy System Through EEG Signal Analysis", in 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp.1-7, IEEE 2020, 10.1109/ICCCNT49239.2020.9225660.       Inproceedings

G. Kumari, J. Chakraborty, and A. Nandy,"Effect of Reduced Dimensionality on Deep learning for Human Activity Recognition", in 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp.1-7, IEEE, October 2020, 10.1109/ICCCNT49239.2020.9225419       Inproceedings

A. Nandy,"Statistical methods for analysis of Parkinson’s disease gait pattern and classification", Multimedia Tools and Applications, vol.78, no.14, pp.19697–19734, Springer, July 2019, 10.1007/s11042-019-7310-4       Article