Dr. Anirban Mukherjee completed his undergraduate studies in Electrical Engineering from Jadavpur University, Kolkata in 1998. He did his post-graduate and doctoral studies in the area of Image Processing at Indian Institute of Technology (IIT) Kharagpur in 2000 and 2005 respectively. He accepted the offer of Tata Consultancy Services, India and worked in their Embedded Systems Group during 2004-2005 in Kolkata, India. He is associated with the Signal Processing and Machine Learning specialization of the Department of Electrical Engineering, Indian Institute of Technology Kharagpur. He is the coridinator of the Information Processing and Machine Learning group in the Department of Electrical Engineering. He is a senior member of IEEE. He was an Associate Editor-in-Chief of the IEEE Transactions on Instrumentation and Measurement during 2021-2023. He is the chair of Signal Processing Society (SPS) chapter of IEEE Kharagpur section. He is also the faculty advisor of SPS chapter student branch of IEEE Kharagpur section.
His detailed biodata is available here. He is in linkedIn.
Welcome to Information Processing and Machine Learning research group.
Research Areas: 1. Machine Learning 2. Signal Processing
EE20201 : Optimization Models and Algorithms, July-November 2026.
Personalized Lung Function Test through Smartphone-based Spirometer, Sun Pharmaceutical Industries Ltd., India, 2019-2021.
Classification and Progression Modelling of Cardiovascular and Pulmonary Diseases using Advanced Data Analytics and Machine Learning techniques, IoTimize LLC, USA, 2016-2021.
Smart Phone enabled Spirometer and Respiratory Sound based Point of Care Systems, ICMR, 2017-2020.
Compressed Sensing-based Fetal ECG (FECG) monitoring for Point-of Care Applications, MHRD, 2015-2018.
Design of Robust Biochemical Networks, CSIR, 2012-2015.
Identification of Motifs in Integrated Cellular Networks, CSIR, 2011-2014.
A New Gene Selection and Maximal Margin Cancer Classification Scheme for High Throughput Microarray Data, SERC, DST, 2009-2013.
Dipdisha Bose, PhD candidate, "Machine Learning-based Monitoring of Progression of Parkinson’s Disease.", 2024-202x. (Joint-Supervisor: Dr. Nirmalya Ghosh, Department of Electrical Engineering).
Subhajit Mondal, M. Tech candidate, "Parkinson's Monitoring and Classification on Edge Devices", 2025-202x.
Kiruppa Suudhan A, M. Tech candidate, "Gait Event Detection in Parkinson’s Disease", 2025-202x.
Dr. Jessy Rimaya Khonglah, PhD, "Multiview and Multilayer Graph Signal Processing", 2016-2024.
Dr. Venkatesh Vakamullu, PhD, "Phonocardiogram Signal Analysis and Learning", 2014-2024.
Dr. MD. Afaque Azam, PhD, "Signal Processing for Massive MIMO", 2017-2022. (Joint-Supervisor: Dr. Amit K. Dutta, G. S. Sanyal School of Telecommunication, Department of Electronics and Electrical Communication).
Dr. Maitreya Maity, PhD, "Integrated Malaria Diagnosis on Edge Devices", 2016-2022. (Joint-Supervisor: Dr. Jyotirmoy Chatterjee, School of Medical Science and Technology).
Dr. Madhusudhan Mishra, PhD, "Phonocardiogram Signal Analysis for Well-being Assessment", 2014-2020.
Dr. Priya Ranjan Muduli, PhD, "Sparsity-Driven Signal Recovery Methods", 2013-2019.
Dr. Arpan Guha Mazumder, PhD, "Imaging Attributes and Spectropathological Signatures for Early Stage Diabetic Retinopathy Diagnosis", 2012-2018. (Joint Supervisor: Dr. Jyotirmoy Chatterjee, School of Medical Science and Technology).
Dr. Surajit Panja, PhD, "Regulation and Robustness of Synergism and Saturation System of a Class of Metabolic Pathways", 2009-2015. (Joint Supervisor: Dr. Pranab K. Dutta, Department of Electrical Engineering).
Dr. Supratim Gupta, PhD, "Eye Image-based Algorithms to Estimate Percentage Closure of Eye and Saccadic Ratio for Alertness Detection", 2006-2013. (Joint Supervisor: Dr. A. Routray, Department of Electrical Engineering).
Dr. Santanu Ghorai, PhD, "Learning with Proximal Kernel Classifiers", 2006-2011. (Joint Supervisor: Dr. Pranab K. Dutta, Department of Electrical Engineering).
Anchal K. Chaubey, M. Tech, "Hardware Software Co-design on Edge Devices (Zynq Board)", 2024-2026.
Sayan Tapader, Dual Degree M. Tech, "Parameter Tracking with Transmission-Efficient Distributed ADMM on Edge Devices", 2024-2025.
Aditya Kulkarni, Dual Degree M. Tech, "Lightweight Context-Guided Network for Polyp Segmentation on Edge Devices", 2024-2025.
Supratim Manna, MS, "Graph-based Learning using Multiple Views", 2017-2021.
Sudipto Trivedy, MS, "Spirometry Classification for Point-of-Care Applications", 2017-2021.
Akhilesh Kumar, M. Tech, "Tracking of Vehicles and Estimation of Speed using Radar Duet", 2017-2019.
Atindra Kanti Mandal, M. Tech, "Respiratory Signal Acquisition for Point-of-Care Applications", 2016-2017.
Sachin Tom John, M. Tech, "Fetal Electrocardiography Monitoring for Point-of-Care Applications", 2015-2016.
Ramakanth Reddy, Dual Degree M. Tech, "Respiratory Signal Storage via Compressed Sensing", 2014-2015.
Aniruddha Maiti, MS, "Mining Motifs in Genomic and Proteomic Networks", 2012-2014. (Joint Supervisor: Dr. Niloy Ganguly, Department of Computer Science and Engineering).
Shivashanker Reddy, M. Tech, "Segmentation of Microscopic Images under Varying Degree of Staining", 2005-2007.
Hrishikesh Menon, B. Tech, "Iris Biometrics using Deep Convolutional Networks", 2019.
Sanmitra Banerjee, B. Tech, "Signal Processing of Cardio-Pulmonary Sound", 2018.
Rakesh Reddy Gunukula, B. Tech, "Fetal ECG Signal Processing", 2016.
Two Dimensional Object-based Representation and Coding of Shape, Motion and Texture; IIT Kharagpur, 2005.
Santanu Ghorai, Anirban Mukherjee and Pranab K Dutta; Advances in Proximal Kernel Classifiers, Lambert Academic Publishing, Germany, 2012, ISBN 978-3-659-27836-5.
Dipdisha Bose, Anirban Mukherjee, M Acharya, S Choudhury, and Nirmalya Ghosh; Artificial Intelligence for Detection of Parkinson's Disease From Speech Signals-A Comprehensive Review, BioFactors, vol. 51 no. 6, e70065, 2025.
Jessy Rimaya Khonglah and Anirban Mukherjee; Kernel-Based Multilayer Graph Signal Recovery via Median Truncation of Gradient Descent, IEEE Trans. Signal and Information Processing over Networks, vol. 9, pp. 268-279, 2023.
Smita Das, Madhusudhan Mishra, Swanirbhar Majumder and Anirban Mukherjee; FIOT: A New Dataset of Fundus Images for Diabetic Retinopathy Multi-Class Assessment, 2026 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 25-28 May, 2026, Nancy, France.
Sayan Tapader and Anirban Mukherjee; Environmental Parameter Tracking with Transmission-Efficient Distributed ADMM, 2026 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 25-28 May, 2026, Nancy, France.
Aditya Kulkarni, A Mukherjee; Lightweight Context-Guided Network for Polyp Segmentation on Edge Devices, 2025 IEEE Applied Signal Processing Conference (ASPCON), 21-22 Nov, 2025, Kolkata, India.