Mr. Sagnik Dutta | IIEST, Shibpur | 16 May, 2017 - 30 Jun, 2017 |
Prof. Lalan Kumar | IIT Delhi, India | 09 Sep, 2016 - 09 Sep, 2016 |
Mr. Rahul Chakraborty | Jadavpur University, India | 20 May, 2014 - 11 Jul, 2014 |
Mr. Muzaffer Ahmed | All India Institute of Medical Sciences, New Delhi, India | 30 Apr, 2014 - 06 May, 2014 |
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Dr. Madhusudhan Mishra worked on heart-lung sound signal-based diagnostics. E-mail: ecmadhusudhan [AT] gmail [DOT] com Google Scholar Profile: citation |
Publications
Madhusudhan Mishra, Sawon Pratiher, Hrishikesh Menon and Anirban Mukherjee; Identification of S1 and S2 Heart Sounds using Spectral and Convex Hull Features, IEEE Sensors Journal, vol. 20, no. 8, pp. 4311-4320, 2020.
Madhusudhan Mishra, Hrishikesh Menon, and Anirban Mukherjee; Characterization of S1 and S2 Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network, IEEE Trans. Instrumentation and Measurement, vol. 68, no. 9, pp. 3211-3220, 2019.
Madhusudhan Mishra, Sanmitra Banerjee, Dennis Thomas, Sagnik Dutta, and Anirban Mukherjee; Detection of Third Heart Sound using Variational Mode Decomposition, IEEE Trans. Instrumentation and Measurement, vol. 67, no. 7, pp. 1713-1721, 2018.
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Dr. Priya Ranjan Muduli worked on Sparse Signal Processing. E-mail: priyaranjanmuduli [AT] gmail [DOT] com Google Scholar Profile: citation |
Publications
Priya Ranjan Muduli and Anirban Mukherjee; A Moreau Envelope-based Nonlinear Filtering Approach to Denoising Physiological Signals, IEEE Trans. Instrumentation and Measurement, vol. 69, no. 4, pp. 1041-1050, 2020.
Priya Ranjan Muduli and Anirban Mukherjee; A Robust Estimator-Based Nonlinear Filtering Approach to Piecewise Biosignal Reconstruction, IEEE Trans. Instrumentation and Measurement, vol. 69, no. 2, pp. 362-370, 2020.
Priya Ranjan Muduli, Atindra Kanti Mandal, and Anirban Mukherjee; An Anti-Noise-Folding Algorithm for the Recovery of Biomedical Signals from Noisy Measurements, IEEE Trans. Instrumentation and Measurement, vol. 66, no. 11, pp. 2909-2916, 2017.
Priya Ranjan Muduli and Anirban Mukherjee; A Subspace Projection-based Joint Sparse Recovery Method for Structured Biomedical Signals, IEEE Trans. Instrumentation and Measurement, vol. 66, no. 2, pp. 234-242, 2017.
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Arpan Guha Mazumder worked on analysis of proteomic signal for diagnosis and prognosis of Diabetic Retinopathy. E-mail: arpan007atgc [AT] gmail [DOT] com Google Scholar Profile: citation |
Fellowship
Arpan received the prestigious Fulbright-Nehru Doctoral Research Fellowship 2014-15.
Publications
A. Guha Mazumder, S. Banerjee, F. Zevictovich, S. Ghosh, Anirban Mukherjee, and J. Chatterjee; Fourier-transform-infrared-spectroscopy based metabolomic spectral biomarker selection towards optimal diagnostic differentiation of diabetes with and without retinopathy, Spectroscopy Letters, DOI: 10.1080/00387010.2018.1471510, 2018.
A. Guha Mazumder, S. Chatterjee, S. Chatterjee S, J. J. Gonzalez, S. Bag, S. Ghosh, Anirban Mukherjee, and J. Chatterjee; Spectropathology-corroborated multimodal quantitative imaging biomarkers for neuroretinal degeneration in diabetic retinopathy,
Clinical Ophthalmology, vol. 11, pp. 2073-2089, 2017.
Arpan Guha Mazumder, Sambuddha Ghosh, Swarnendu Bag, Sumanta Bera, Srutarshi Ghosh, Anirban Mukherjee and Jyotirmoy Chatterjee; 1H-NMR based Serum Metabolomic Signatures Imperative in Retinalneurodegeneration and Development of Diabetic Retinopathy, International Journal of Medical Research and Review, vol. 4, no. 6, pp. 976-981, 2016.
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Dr. Surajit Panja worked on modeling of the dynamics Metabolic Networks (MN). He used S-system model to study the performance and
robustness of these networks. E-mail: surajit[DOT]panja [AT] gmail [DOT] com Google Scholar Profile: citation |
Publications
Surajit Panja, Sourav Patra and Anirban Mukherjee; Tweaking Metabolic Networks: A Design Method, INAE Letters, Springer, pp. 1-6, DOI 10.1007/s41403-016-0005-5, 2016.
(MATLAB toolbox available in SDC.)
Surajit Panja, Sourav Patra, Anirban Mukherjee, Madhumita Basu, Sanghamitra Sengupta and Pranab K. Dutta; A Closed-loop Control Scheme for Steering Steady States of Glycolysis and Glycogenolysis Pathway, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 4, pp. 858-868, 2013.
Surajit Panja, Sourav Patra, Anirban Mukherjee, Madhumita Basu, Sanghamitra Sengupta and Pranab K. Dutta; Robustness of TCA Cycle at Steady-State: An LMI-based Analysis and Synthesis Framework, IEEE Trans. on Nanobioscience, vol. 12, no. 2, pp. 128-134, 2013.
Surajit Panja, Sourav Patra, Anirban Mukherjee, Madhumita Basu, Sanghamitra Sengupta and Pranab K. Dutta; An Optimization-based Design Framework for Steering Steady-States and Improving Robustness of Glycolysis-Glycogenolysis Pathway, IEEE Trans. Biomedical Engineering, vol. 60, no. 2, pp. 554-561, 2013.
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Dr. Supratim Gupta developed Image-based Driver Alertness System.
E-mail: guptasu[AT] nitrkl [DOT] ac [DOT] in Google Scholar Profile: citation |
Publications
Supratim Gupta, Aurobinda Routray and Anirban Mukherjee; A New Method for Edge Extraction in Images using Local Form Factors, Intl. Journal of Computer Applications, vol. 21, no. 2, pp. 15-22, 2011.
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Dr. Santanu Ghorai developed a Non-parallel Plane Proximal (Kernel) Classifier (NPPC). He also developed a regression methodology, Vector-Valued Regularized Kernel Function Approximation (VVRKFA). The NPPC and VVRKFA Toolbox (MATLAB) are available in the Software Download Centre.
He has an expertise in handling high-throughput -omics data in the Machine Learning framework. E-mail: santanughorai74 [AT] gmail [DOT] com Google Scholar Profile: citation |
Publications
Santanu Ghorai, Anirban Mukherjee and Pranab K Dutta; Advances in Proximal Kernel Classifiers, Lambert Academic Publishing, Germany, 2012, ISBN 978-3-659-27836-5.
Santanu Ghorai, Anirban Mukherjee, M. Gangadharan and Pranab K. Dutta; Automatic Defect Detection on Hot Rolled Flat Steel Products, IEEE Trans. Instrumentation and Measurement, vol. 62, no. 3, pp. 612-621, 2013.
Santanu Ghorai, Anirban Mukherjee, Sanghamitra Sengupta and Pranab K. Dutta; Cancer Classification from Gene Expression Data by NPPC Ensemble, IEEE/ACM Trans. Computational Biology and Bioinformatics, vol. 8, no. 3, pp. 659-671, 2011.
Santanu Ghorai, Anirban Mukherjee and Pranab K. Dutta; Discriminant Analysis for Fast Multiclass Data Classification through Regularized Kernel Function
Approximation, IEEE Trans. Neural Networks, vol. 21, no. 6, pp. 1020-1029, 2010. (MATLAB toolbox available in SDC).
Santanu Ghorai, Shaikh Jahangir Hossain, Anirban Mukherjee, and Pranab K. Dutta; Newton's Method for Nonparallel Plane Proximal Classifier with Unity Norm
Hyperplanes, Signal Processing, vol. 90, no. 1, pp. 93-104, 2010. (MATLAB toolbox available in SDC).
Santanu Ghorai, Anirban Mukherjee and Pranab K. Dutta; Nonparallel Plane Proximal Classifier, Signal Processing, vol. 89, no. 4, pp. 510-522, 2009.
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Akhilesh Kumar was an M. Tech student graduated in 2019. He worked on Tracking of Vehicles and Estimation of Speed of Vehicle using Radar Signals. E-mail: akhilesh2k3@gmail.com |
Publications
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.
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Atindra Kanti Mandal was an M. Tech student in 2017. He worked on respiratory signal acquisition and processing in the
Point of Care settings. E-mail: atindra1 [AT] gmail [DOT] com Google Scholar Profile: citation
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Publications
Priya Ranjan Muduli, Atindra Kanti Mandal, and Anirban Mukherjee; An Anti-Noise-Folding Algorithm for the Recovery of Biomedical Signals from Noisy Measurements, IEEE Trans. Instrumentation and Measurement, vol. 66, no. 11, pp. 2909-2916, 2017.
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Sachin Tom John was an M. Tech student graduated in 2016. He worked on fetal ECG acquisition and its applicability in the Point-Of-Care (POC) settings. E-mail: sachintomjohn [AT] rediffmail [DOT] com |
Publications
Sachin Tom John, P. R. Muduli, Anirban Mukherjee; An Analog-Front-End for Non-Invasive Fetal Electrocardiography Monitoring, 2016 IEEE Techsym, Sep. 30 - Oct. 02, 2016, IIT Kharagpur, India.
Accolade
The Wearable FECG Monitor, designed by Sachin Tom John, has been judged runners-up in the Internet-of-Things/Wearables devices category in ARM Competition.
In the Embedded World 2016 Conference, ARM conducted a competition of products developed using ARM-based SoCs.
Among the winners is the Wearable FECG Monitor designed by Sachin Tom John. It has been judged runners-up in the Internet-of-Things/Wearables devices category.
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Ramakanth Reddy was a Dual-degree M. Tech student graduated in 2015. He worked on Respiratory Signal Storage via Compressed Sensing. E-mail: ramakanth.1729 [AT] gmail [DOT] com |
Publications
Aniruddha Maiti, Ramakanth Reddy and Anirban Mukherjee; Structural Prediction of Dynamic Bayesian Network with Partial Prior Information, IEEE Trans. on NanoBioscience, vol. 14, no. 1, pp. 95-103, 2015.
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Aniruddha Maiti was a CSIR-sponsored MS student in 2014. He worked on mining of motifs in Transcription Interaction Networks (TIN)
and Protein-Protein Intercation Networks (PPIN). He developed Model Shift-based Monte Carlo-based Expectation Maximization (MSMCEM) algorithm.
This is available in the Software Download Centre. E-mail: aniruddha.maiti87 [AT] gmail [DOT] com Google Scholar Profile: citation
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Publications
Aniruddha Maiti, Ramakanth Reddy and Anirban Mukherjee; Structural Prediction of Dynamic Bayesian Network with Partial Prior Information, IEEE Trans. on NanoBioscience, vol. 14, no. 1, pp. 95-103, 2015.
Aniruddha Maiti and Anirban Mukherjee; On the Monte-Carlo Expectation Maximization for Finding Motifs in DNA Sequences, IEEE Journal of Biomedical and Health Informatics, vol. 19, no. 2, pp. 677-686, 2015. (MATLAB toolbox available in SDC.)
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Shivashanker Reddy was an M. Tech student graduated in 2007. He worked on segmentation of microscopic images under varying degree of staining. E-mail: |
Publications
Tathagata Ray, D. Shivashanker Reddy, Anirban Mukherjee, Jyotirmoy Chatterjee, Ranjan Rashmi Paul and Pranab K. Dutta; Detection of Constituent Layers of Histological Oral Sub-mucous Fibrosis Images using the Hybrid Segmentation Algorithm, Oral Oncology, 44, no. 12, pp. 1167-1171, 2008. Download.
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Hrishikesh Menon was a dual degree M. Tech student. He was working in the area of deep learning applications of Iris biometrics. E-mail: hrishikeshmenon96 [AT] gmail [DOT] com |
Publications
Madhusudhan Mishra, Hrishikesh Menon, and Anirban Mukherjee; Characterization of S1 and S2 Heart Sounds Using Stacked Autoencoder and Convolutional Neural Network, IEEE Trans. Instrumentation and Measurement, vol. 68, no. 9, pp. 3211-3220, 2019.
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Sanmitra Banerjee was an undergraduate student. He worked in the area of signal processing for cardio-pulmonary sound. E-mail: sanmitra [DOT] roni [AT] gmail [DOT] com Google Scholar Profile: citation
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Publications
Madhusudhan Mishra, Sanmitra Banerjee, Dennis Thomas, Sagnik Dutta, and Anirban Mukherjee; Detection of Third Heart Sound using Variational Mode Decomposition, IEEE Trans. Instrumentation and Measurement, vol. 67, no. 7, pp. 1713-1721, 2018.
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Rakesh Reddy Gunukula was a B. Tech student. He was working on deep learning-based sparse signal recovery for fetal ecg signal in the Point-Of-Care (POC) settings. E-mail: rakeshreddy [DOT] gunukula [AT] gmail [DOT] com |
Publications
P. R. Muduli, Rakesh Gunukula Reddy and Anirban Mukherjee; A Deep Learning Approach to Fetal-ECG Signal Reconstruction, 22nd National Conference on Communications, 4-6 March, 2016, IIT Guwahati, India.