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Swagatam Das earned his B.E. in Electronics and Telecommunications Engineering, M.E. with a specialization in Control Engineering, and Ph.D.(Engineering) degrees from Jadavpur University, India, in the years 2003, 2005, and 2009, respectively. He is currently a professor at the Electronics and Communication Sciences Unit (ECSU) of the Indian Statistical Institute, Kolkata, India. He is also serving as the Professor-in-Charge of the Computer and Communication Sciences Division (CCSD) of his Institute for the term 2024 - 26. He previously held the position of Professor and Deputy Director at the Institute for Advancing Intelligence (IAI), TCG CREST, Kolkata, India, from April 01, 2023, to March 31, 2024. His research interests encompass deep learning and non-convex optimization, and he has published over 400 research articles in peer-reviewed journals and international conferences. Dr. Das is the founding Co-Editor-in-Chief of Swarm and Evolutionary Computation, an international journal by Elsevier. He has served or is currently serving as an Associate Editor for several prominent journals, including the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, Pattern Recognition (Elsevier), Neurocomputing (Elsevier), Information Sciences (Elsevier), IEEE Trans. on Systems, Man, and Cybernetics: Systems, among others. He is a member of the editorial board of Information Fusion (Elsevier), Progress in Artificial Intelligence (Springer), Applied Soft Computing (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), and so on. Dr. Das has received over 35,500 Google Scholar citations and an H-index of 90 to date. He has actively participated in the program committees and organizing committees of renowned international conferences such as NeurIPS, AAAI, AISTATS, ACM Multimedia, BMVC, IEEE WCCI, GECCO, and more. He currently serves as an ACM Distinguished Speaker. He received the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE) and the 2015 Thomson Reuters Research Excellence India Citation Award for being the highest-cited researcher in Engineering and Computer Science in India between 2010 and 2014.
Find our Machine Learning Research Group at: https://mlrgisi.github.io/
Some recent exciting news from our research group
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Our latest joint paper, "Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias" gets accepted in MICCAI 2024 (the 27th International Conference on Medical Image Computing and Computer Assisted Intervention), 6-10 October 2024, MARRAKESH, MOROCCO.
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Our only submission, "Interval Bound Interpolation for Few-shot Learning with Few Tasks" has now been accepted for presentation at the 40th International Conference on Machine Learning (ICML 2023), Hawaii Convention Center, USA.
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Our joint paper titled "Voice Conversion using Features Specific loss Function based Self-attentive Generative adverserial network" has been accepted for the 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-2023).
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Our joint paper "Clustering High-dimensional Data with Ordered Weighted L1 Regularization" has just been accepted to the prestigious 26-th International Conference on Artificial Intelligence and Statistics (AISTATS 2023).
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Our paper titled "UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High Dimensional Clustering" has just been accepted to the 37-th AAAI Conference on Artificial Intelligence (AAAI-23).
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Our paper "On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks" has been accepted for presentation at the NeurIPS 2022 (Thirty-sixth Conference on Neural Information Processing Systems).
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Our paper "GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking" has been accepted for oral presentation at the IEEE CVPR 2022 conference.
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Two of our (highly theoretical) papers get accepted for Spotlight presentation (less than 3% of the total 9000+ submissions in this category) at the NeurIPS 2021 (Thirty-fifth Conference on Neural Information Processing Systems) conference.
- Our paper on the spherical search optimizer with a low precision projection matrix for derivative-free non-convex optimization has been accepted to the IEEE Transactions on Cybernetics.
- Our paper proposing a new entropy measure and its applications to machine learning has been accepted and presented at the ISIT 2021 (International Symposium on Information Theory) conference.
- Our paper on a new weighted version of the blurring mean-shift clustering method has been accepted and presented at the AAAI 2021 conference.
- Our joint work (with Saptarshi Chakraborty, my past M. Stat. student and now with UC Berkeley) on a new weighted sparse clustering for high dimensional data gets accepted to the IEEE Trasanctions on Pattern Analysis and Machine Intelligence (T-PAMI)
- Our paper (with Avisek Gupta, my Ph. D. scholar at ISI) on a new idea of transfer clustering under weak supervision gets accepted to IEEE Transactions on Emerging Topics in Computational Intelligence.
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