IITKGP

Anirban Mukherjee

Associate Professor

Electrical Engineering

+91-3222-283050

anirban@ee.iitkgp.ac.in

Research Areas

Area of research: Signal Processing and Machine Learning

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    
http://www.facweb.iitkgp.ac.in/~manirban/IPML.html
  • Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent Khonglah J. R., Mukherjee A. By IEEE Trans. Signal and Information Processing over Networks 9 268-279 (2023)
  • Characterization of S1 and S2 Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network Mishra M., Menon H. , Mukherjee A. By IEEE Trans. Instrumentation and Measurement 68 3211-3220 (2019)
  • Downlink Precoding for Hybrid Fully Connected Linear Subarrays in mmWave with Rainfall Scattering and Hardware Impairments Azam M.A., Dutta A., Mukherjee A. By IEEE Trans. Vehicular Technology 71 5143-5155 (2022)
  • Performance Analysis of Dipole Antenna Based Planar Arrays with Mutual Coupling and Antenna Position Error in mmWave Hybrid System Azam M.A., Dutta A.K., Mukherjee A. By IEEE Transactions on Vehicular Technology 70 10209-10221 (2021)
  • Robust Kernelized Graph-based Learning Manna S., Khonglah J. R., Mukherjee A. , Saha G. By Pattern Recognition 110 - (2021)
  • A Moreau Envelope-based Nonlinear Filtering Approach to Denoising Physiological Signals Muduli P. R., Mukherjee A. By IEEE Trans. Instrumentation and Measurement 69 1041-1050 (2020)
  • A Robust Estimator-Based Nonlinear Filtering Approach to Piecewise Biosignal Reconstruction Muduli P. R., Mukherjee A. By IEEE Trans. Instrumentation and Measurement 69 362-370 (2020)
  • Design and Development of Smartphone-enabled Spirometer with a Disease Classification System Using Convolutional Neural Network Trivedy S., Goyal M. , Mohapatra P. R., Mukherjee A. By IEEE Trans. Instrumentation and Measurement 69 7125-7135 (2020)
  • Quantification of Malaria Parasitaemia using Trainable Semantic Segmentation and Capsnet Maity M., Jaiswal A. , Gantait K. , Chatterjee J. , Mukherjee A. By Pattern Recognition Letters 138 88-94 (2020)
  • Uplink Channel Estimation with Hardware Imperfections, Antenna Position Error and Channel Correlation for Nested and Linear Array Antennas Azam M. A., Dutta A. K., Mukherjee A. By IEEE Transaction on Vehicular Technology - (2020)
  • Co-Principal Investigator

Ph. D. Students

Jessy Rimaya Khonglah

Area of Research: Graph Signal Processing Applications in Healthcare

Venkatesh Vakamullu

Area of Research: Biomedical Electronics