National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

All Publications

Mirza Khalid Baig

Assistant Professor Grade-I
baigm@nitrkl.ac.in

D. Kalita and M. K. Baig,"Multivariate glucose forecasting using deep multihead attention layers inside neural basis expansion networks", Journal of Biomedical and Health Informatics, IEEE, January 2025, 10.1109/JBHI.2025.3530461       Article
D. Kalita, H. Sharma, and M. K. Baig,"Continuous Glucose, Insulin and Lifestyle Data Augmentation in Artificial Pancreas using adaptive generative and discriminative models", IEEE Journal of Biomedical And Health Informatics, vol.28, no.8, pp.4963 - 4974, IEEE 2024, View Details       Article
D. Kalita, S. Dash, and M. K. Baig,"Epinet: an optimized, resource efficient deep gru-lstm network for epileptic seizure prediction", Biomedical Engineering: Applications, Basis and Communications, vol.36, no.4, World Scientific 2024, View Details       Article
S. Dash, A. K. Parida, K. Pal, and M. K. Baig,"Generative AI for Bio-Signal Analysis and Augmentation", Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges, ch.9, pp.9, Nova Science Publishers, January 2024, View Details       Inbook
D. Kalita, H. Sharma, U. Naskar, B. K. Mishra, J. K. Panda, and M. K. Baig,"Deep learning for the closed loop diabetes management system", Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges, ch.10, pp.6, Nova Science Publishers, January 2024, View Details       Inbook
D. Kalita, S. Dash, and M. K. Baig,"EpiNET: an optimized, resource efficient deep GRU-LSTM network for epileptic seizure prediction", Biomedical Engineering: Applications, Basis and Communications, vol.36, no.4, pp.2450021, World Scientific, August 2024, 10.4015/S1016237224500212       Article
D. Kalita, H. Sharma, J. K. Panda, and M. K. Baig,"Platform for precise, personalised glucose forecasting through continuous glucose and physical activity monitoring and deep learning", Medical Engineering & Physics, vol.132, pp.104241, Elsevier, October 2024, 10.1016/j.medengphy.2024.104241       Article
H. Sharma, D. Kalita, R. Panda, P. Kumar, and M. K. Baig,"Effect of biofouling on electrochemical impedance parameters and sensitivity of polyvinyl alcohol-coated iridium oxide-based pH biosensors", IEEE Transactions on Instrumentation and Measurement, vol.74, no.9500211, IEEE, November 2024, 10.1109/TIM.2024.3493877       Article
H. Sharma, D. Kalita, U. Naskar, B. K. Mishra, P. Kumar, and M. K. Baig,"Prediction of Glucose Sensor Sensitivity in the presence of Biofouling using Machine Learning and Electrochemical Impedance Spectroscopy", IEEE Sensors Journal, vol.23, no.16, pp.18785-18797, IEEE, August 2023, 10.1109/JSEN.2023.3289619       Article
D. Bhor, T. K, M. G. S, B. K. Mishra, D. Kalita, A. Thirugnanam, and M. K. Baig,"Responsive Transcutaneous Electrical Stimulation for Management of Diabetic Foot Neuropathy", in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp.1-6, IEEE, April 2023, 10.1109/I2CT57861.2023.10126247       Inproceedings