Area of research: Information Processing and Machine Learning
Application Area:
Information Processing and Machine Learning for Healthcare and Assistive Technology
The focus of the research of Information Processing and Machine Learning Group is on the integration of data, knowledge, and tools necessary for efficient knowledge discovery in the decision-making process associated with information extraction and computational intelligence. The group's research addresses the design and development of signal processing and machine learning techniques and the interpretation of signals and systems to improve monitoring, diagnosis and prognosis. The group explores new methodologies for multimodal, multi-scale and multi-channel acquisition, processingand interpretation of information.
For details: Information Processing and Machine Learning working group
https://facweb.iitkgp.ac.in/~manirban/IPML.html
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Artificial Intelligence for Detection of Parkinson's Disease From Speech Signals-A Comprehensive Review by Bose D., Mukherjee A. , Acharya M. K., Choudhury S. , Ghosh N. BioFactors 51 - (2025)
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Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent by Khonglah J. R., Mukherjee A. IEEE Trans. Signal and Information Processing over Networks 9 268-279 (2023)
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Robust Kernelized Graph-based Learning by Manna S., Khonglah J. R., Mukherjee A. , Saha G. Pattern Recognition 110 - (2021)
- Co-Principal Investigator
Ph. D. Students
Dipdisha Bose
Area of Research: Audio Signal Processing
