Home > Academics > Admission > Academic Units > Ph.D > Departments > Electrical Engineering > Anirban Mukherjee
Associate Professor
Electrical Engineering
Area of research: Signal Processing and Machine Learning
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 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: Signal Processing and Machine Learning working group
http://www.facweb.iitkgp.ac.in/~manirban/SPML.html
Quantification of Malaria Parasitaemia using Trainable Semantic Segmentation and Capsnet by Maity M., Jaiswal A. , Gantait K. , Chatterjee J. , Mukherjee A. Pattern Recognition Letters 138 88-94 (2020)
Design and Development of Smartphone-enabled Spirometer with a Disease Classification System Using Convolutional Neural Network by Trivedy S., Goyal M. , Mohapatra P. R., Mukherjee A. IEEE Trans. Instrumentation and Measurement 69 7125-7135 (2020)
A Moreau Envelope-based Nonlinear Filtering Approach to Denoising Physiological Signals by Muduli P. R., Mukherjee A. IEEE Trans. Instrumentation and Measurement 69 1041-1050 (2020)
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)
Personalized Lung Function Test through Smartphone-based Spirometer Sun Pharmaceutical Industries Ltd.
Classification & Progression Modelling of Cardiovascular & Pulmonary Diseases Using Advanced Data Analytics & Machine Learning Techniques IoTimize LLC
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 # 6849 MHRD
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)
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
G Satya Prasad
Area of Research: Signal Processing
Deepak Kumar Sahu
Area of Research: Medical Signal Processing and Machine Learning
