Home > Academics > Academic Units > Departments > Electrical Engineering > Anirban Mukherjee
Associate Professor
Electrical Engineering
Area of research: Signal Processing and Machine Learning for Healthcare Applications.
The focus of the research of Signal 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 biomedical signals to improve monitoring, diagnosis and prognosis of physiological processes. The group explores new methodologies for multimodal, multi-scale and multi-channel acquisition, processingand interpretation of clinically relevant information from biomedical signals. The principal objective is to improve the non-invasive diagnosis capability through the characterization of physiological phenomena, and to enhance early detection of diseases like cardiac, respiratory and sleep disorders. TheSignal Processing and Machine Learning research group encourages the development of theoretical and practical methods of information processing with special emphasis on the development of healthcare open data-set repository.
For details: http://www.facweb.iitkgp.ac.in/~manirban/SPML.html
A Robust Estimator-Based Nonlinear Filtering Approach to Piecewise Biosignal Reconstruction by Muduli P. R., Mukherjee A. IEEE Trans. Instrumentation and Measurement 69 362-370 (2020)
Characterization of S1 and S2 Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network by Mishra M., Menon H. , Mukherjee A. IEEE Trans. Instrumentation and Measurement 68 3211-3220 (2019)
Detection of Third Heart Sound using Variational Mode Decomposition by Mishra M., Banerjee S. , Thomas D. , Dutta S. , Mukherjee A. IEEE Trans. Instrumentation and Measurement 67 1713-1721 (2018)
Stroke Point Warping based Reference Selection and Verification of Online Signature by Kar B., Mukherjee A. , Dutta P. K. IEEE Trans. Instrumentation and Measurement 67 2-11 (2018)
An Anti-Noise-Folding Algorithm for the Recovery of Biomedical Signals from Noisy Measurements by Muduli P. R., Mandal A. K., Mukherjee A. IEEE Trans. Instrumentation and Measurement 66 2909-2916 (2017)
A Subspace Projection-based Joint Sparse Recovery Method for Structured Biomedical Signals by Muduli P. R., Mukherjee A. IEEE Trans. Instrumentation and Measurement 66 234-242 (2017)
On the Monte-Carlo Expectation Maximization for Finding Motifs in DNA Sequences by Maiti A., Mukherjee A. IEEE Journal Biomedical and Health Informatics 19 677-686 (2015)
Structural Prediction of Dynamic Bayesian Network with Partial Prior Information by Maiti A., Reddy R. , Mukherjee A. IEEE Trans. NanoBioscience 14(1) 95-103 (2015)
Cancer Classification from Gene Expression Data by NPPC Ensemble by Ghorai S., Mukherjee A. , Sengupta S. , Dutta P. K. IEEE/ACM Trans. Computational Biology and Bioinformatics 8 659-671 (2011)
Discriminant Analysis for Fast Multiclass Data Classification through Regularized Kernel Function Approximation by Ghorai S., Mukherjee A. , Dutta P. K. IEEE Trans. Neural Networks 21(6) 1020-1029 (2010)
Classification & Progression Modelling of Cardiovascular & Pulmonary Diseases Using Advanced Data Analytics & Machine Learning Techniques IoTimize LLC
A Deep Learning Framework for Restoration of Damaged Heritage Antiquities using Low-Cost, Hand-Held, Time-Of-Flight (TOF)/ Light Field Depth Sensors (IMPRINT-2) Science and Engineering Research Board (SERB)
Development of a Remote Healthcare Delivery System: Early Diagnosis, Therapy, Follow-up and Preventive Care for Non-communicable Diseases (Cardio-pulmonary) Project No. 6537 INDIAN COUNCIL OF MEDICAL RESEARCH (ICMR)
Development of Advanced Halter Monitor with Extended Recording and Episode Detection Indian Council of Medical Research, Dept. of Health Research, Ministry of Health and Family Welfare
Maitreya Maity
Area of Research: Medical Image Analysis & Pattern Recognition
Venkatesh Vakamullu
Area of Research: Biomedical Electronics
Jessy Rimaya Khonglah
Area of Research: Graph Signal Processing Applications in Healthcare
Md Afaque Azam
Area of Research: Convex Optimization in Signal Processing and Machine Learning
Sudipto Trivedy
Area of Research: Signal Processing for IoT in Healthcare
Supratim Manna
Area of Research: Machine Learning for Signal Processing
