IITKGP IPML Group: Dr. Anirban Mukherjee
Anirban Mukherjee

Anirban Mukherjee

Professor,

Information Processing and Machine Learning Research Group

Department of Electrical Engineering


Brief Biography and Professional Activities


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 has been with the Department of Electrical Engineering, Indian Institute of Technology Kharagpur since 2005 and is the co-ordinator of Information Processing and Machine Learning group. He is a member of IEEE and was an Associate Editor-in-Chief of the IEEE Transactions on Instrumentation and Measurement during 2021-2023.

His detailed biodata is available here.


Research Interests

(a) Signal Processing for Healthcare,

(b) Machine Learning for Connected and Autonomous Vehicles.

Welcome to Information Processing and Machine Learning research group, Software Download Centre (SDC).


Contact Addresses

OfficeN-243, Department of Electrical Engineering, IIT Kharagpur, 721302, WB, INDIA.
Phone No.+91 - 3222 - 283050
E-mailanirban [AT] ee [DOT] iitkgp [DOT] ac [DOT] in
ResidenceC1-94, IIT Kharagpur Campus, Kharagpur, West Bengal, 721302, INDIA.
Alternative E-mailmanirban [AT] ieee [DOT] org


Identification Numbers

ORCIDResearcherIDScopus Author IDGoogle Scholar IDVidyan ID
ORCID iD icon0000-0002-8463-4347 AAI-2378-2019 55796079000 GfTZoYEAAAAJ 158139


Teaching

Signals and Systems [Subject Website] Jul-Dec 2023.


Completed Research Projects

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.


Research Students
Present Members

  1. Dipdisha Bose, PhD candidate, "Machine Learning-based Monitoring of Progression of Parkinson’s Disease.", 2024-202x.
    (Joint-Supervisor: Dr. Nirmalya Ghosh, EE).

  1. Anchal K. Chaubey, M. Tech candidate, "Deep Learning on Edge Devices", 2024-202x.


Previous Members

  1. Dr. Jessy Rimaya Khonglah, PhD, "Multiview and Multilayer Graph Signal Processing", 2016-2024.

  2. Dr. Venkatesh Vakamullu, PhD, "Phonocardiogram Signal Analysis and Learning", 2014-2024.

  3. Dr. MD. Afaque Azam, PhD, "Signal Processing for Massive MIMO", 2017-2022.
    (Joint-Supervisor: Dr. Amit K. Dutta, G. S. Sanyal School of Telecommunication).

  4. Dr. Maitreya Maity, PhD, "Integrated Malaria Diagnosis on Edge Devices", 2016-2022.
    (Joint-Supervisor: Dr. Jyotirmoy Chatterjee, School of Medical Science and Technology).

  5. Dr. Madhusudhan Mishra, PhD, "Phonocardiogram Signal Analysis for Well-being Assessment", 2014-2020.

  6. Dr. Priya Ranjan Muduli, PhD, "Sparsity-Driven Signal Recovery Methods", 2013-2019.

  7. 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).

  8. 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).

  9. 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).

  10. Dr. Santanu Ghorai, PhD, "Learning with Proximal Kernel Classifiers", 2006-2011.
    (Joint Supervisor: Dr. Pranab K. Dutta, Department of Electrical Engineering).

  1. Supratim Manna, MS, "Graph-based Learning using Multiple Views", 2017-2021.

  2. Sudipto Trivedy, MS, "Spirometry Classification for Point-of-Care Applications", 2017-2021.

  3. Akhilesh Kumar, M. Tech, "Tracking of Vehicles and Estimation of Speed using Radar Duet", 2017-2019.

  4. Atindra Kanti Mandal, M. Tech, "Respiratory Signal Acquisition for Point-of-Care Applications", 2016-2017.

  5. Sachin Tom John, M. Tech, "Fetal Electrocardiography Monitoring for Point-of-Care Applications", 2015-2016.

  6. Ramakanth Reddy, Dual Degree M. Tech, "Respiratory Signal Storage via Compressed Sensing", 2014-2015.

  7. Aniruddha Maiti, MS, "Mining Motifs in Genomic and Proteomic Networks", 2012-2014.
    (Joint Supervisor: Dr. Niloy Ganguly, Department of Computer Science and Engineering).

  8. Shivashanker Reddy, M. Tech, "Segmentation of Microscopic Images under Varying Degree of Staining", 2005-2007.

  1. Hrishikesh Menon, B. Tech, "Iris Biometrics using Deep Convolutional Networks", 2019.

  2. Sanmitra Banerjee, B. Tech, "Signal Processing of Cardio-Pulmonary Sound", 2018.

  3. Rakesh Reddy Gunukula, B. Tech, "Fetal ECG Signal Processing", 2016.


Publications
Statistics [Citation]

Research MonographsJournal PapersConference Papers
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Doctoral Thesis

Two Dimensional Object-based Representation and Coding of Shape, Motion and Texture; IIT Kharagpur, 2005.


Books and Research Monographs

Santanu Ghorai, Anirban Mukherjee and Pranab K Dutta; Advances in Proximal Kernel Classifiers, Lambert Academic Publishing, Germany, 2012, ISBN 978-3-659-27836-5.


Selected Journal Papers

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.

MD Afaque Azam, Amit Kumar Dutta and Anirban Mukherjee; Downlink Precoding for Hybrid Fully Connected Linear Subarrays in mmWave With Rainfall Scattering and Hardware Impairments, IEEE Trans. Vehicular Technology, vol. 71, no. 5, pp. 5143 - 5155, 2022.

MD Afaque Azam, Amit Kumar Dutta and Anirban Mukherjee; Performance Analysis of Dipole Antenna-based Planar Arrays With Mutual Coupling and Antenna Position Error in mmWave Hybrid System, IEEE Trans. Vehicular Technology, vol. 70, no. 10, pp. 10209-10221, 2021.

Supratim Manna, Jessy Rimaya Khonglah, Anirban Mukherjee, and Goutam Saha; Robust Kernelized Graph-based Learning, Pattern Recognition, Elsevier, vol. 110, 2021.


Selected Conference Papers

V Vakamullu, S Trivedy, M Mishra, A Mukherjee; Real-Time Heart Murmur Classification using Attention Based Deep Learning Approach, 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 16-19 May, 2022, Ottawa, Canada.

V Vakamullu, S Trivedy, M Mishra, A Mukherjee; Convolutional Neural Network Based Heart Sounds Recognition on Edge Computing Platform, 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 16-19 May, 2022, Ottawa, Canada.

V Vakamullu, S Trivedy, M Mishra, A Mukherjee; Convolutional Neural Network Based Heart Sounds Recognition on Edge Computing Platform, 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 16-19 May, 2022, Ottawa, Canada.

Akhilesh Kumar, and Anirban Mukherjee; Improvement in Localization of a Moving Vehicle using K-means Clustering, accepted in 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2020), 25-28 May, 2020, Dubrovnik, Croatia.

Sudipto Trivedy, Manish Goyal, and Anirban Mukherjee; Microphone based Smartphone enabled Spirometry Data Augmentation using Information Maximizing Generative Adversarial Network, accepted in 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2020), 25-28 May, 2020, Dubrovnik, Croatia.

Supratim Manna, Jessy R. Khonglah, Anirban Mukherjee and Goutam Saha; Kernelized Graph-based Multi-view Clustering on High Dimensional Data, accepted in National Conference on Communications 2020, (NCC 2020), 21-23 February, 2020, IIT Kharagpur, India.

Supratim Manna, Jessy R. Khonglah, Anirban Mukherjee and Goutam Saha; Low-Rank Kernelized Graph-based Clustering Using Multiple Views, accepted in National Conference on Communications 2020, (NCC 2020), 21-23 February, 2020, IIT Kharagpur, India.

MD. Afaque Azam, Anirban Mukherjee and Amit Dutta; Effect of Gaussian Correlated Channel on Uplink Channel Estimation for Massive MIMO with Nested Array at the Base Station, accepted in National Conference on Communications 2020, (NCC 2020), 21-23 February, 2020, IIT Kharagpur, India.

Sudipto Trivedy, Manish Goyal, Madhusudhan Mishra, Narsingh Verma and Anirban Mukherjee; Classification of Spirometry Using Stacked Autoencoder based Neural Network, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2019), 20 - 23 May, 2019, Auckland, New Zealand.

Akhilesh Kumar, Anirban Mukherjee and Mahendra Mandava; Estimation of Speed and Tracking of Vehicles using Radar Duet, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2019), 20 - 23 May, 2019, Auckland, New Zealand.

Maitreya Maity, Kripasindhu Gantait, Anirban Mukherjee and Jyotirmoy Chatterjee; Visible Spectrum-based Classification of Malaria Blood Samples on Handheld Spectrometer, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2019), 20 - 23 May, 2019, Auckland, New Zealand.

Madhusudhan Mishra and Anirban Mukherjee; Detection of Heart Murmurs for Imbalanced Dataset Using Adaptive Synthetic Sampling Approach, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2019), 20 - 23 May, 2019, Auckland, New Zealand.

Madhusudhan Mishra, Sanmitra Banerjee, Anirban Mukherjee, Dennis Thomas and Sagnik Dutta; Detection of Third Heart Sound Using Variational Mode Decomposition, 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2019), 20 - 23 May, 2019, Auckland, New Zealand.

Madhusudhan Mishra, Sawon Pratiher, Sanmitra Banerjee and Anirban Mukherjee; Grading Heart Sounds through Variational Mode Decomposition and Higher Order Spectral Features, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2018), 14-17 May, 2018, Houston, USA.

Hrishikesh Menon and Anirban Mukherjee; Iris Biometrics using Deep Convolutional Networks, 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2018), 14-17 May, 2018, Houston, USA.