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Soumya Dutta
PhD (Ohio State University)
Assistant Professor, Department of Computer Science & Engineering
Research Interest
Machine Learning, Visual Computing and Image Analysis, Big Data Visualization and Analytics, Data Science, HPC, Uncertainty Quantification, Explainability and Interpretability of AI Models.
KD-224,
Department of Computer Science and Engineering
IIT Kanpur,
Kanpur 208016
Specialization
Visual Computing, Machine Learning, Data Science, Data Visualization, Big Data, HPC
Education
PhD in Computer Science and Engineering (CSE), The Ohio State University, USA
MS, Computer Science and Engineering (CSE), The Ohio State University, USA
Teaching Area
Topics
Data Visualization, Data Science, Computer Graphics, Visual Computing, Big Data.
Previous Work Experience
Scientist II at Los Alamos National Laboratory (LANL), USA
Postdoctoral Researcher at Los Alamos National Laboratory (LANL), USA
Selected Publications
Anurag Deo, Aditya Bangar, Chandranath Adak, Rahul Verma, Deepak Nagar, Zahid Akhtar, Soumya Dutta, Soumi Chattopadhyay and Sukalpa Chanda, IndicSideFace: A Dataset for Advancing Deepfake Detection on Side-Face Perspectives of Indian Subjects, 19th International Conference on Automatic Face and Gesture Recognition (FG 2025).
Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, Christopher R. Johnson, Uncertainty-Informed Volume Visualization using Implicit Neural Representation, IEEE Workshop on Uncertainty Visualization: Applications, Techniques, Software, and Decision Frameworks (Co-located with IEEEVIS), 2024.
Atul Kumar, Siddharth Garg, and Soumya Dutta, Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data, IEEE Transactions on Visualization and Computer Graphics (TVCG), (IEEEVIS 2024).
Soumya Dutta, Faheem Nizar, Ahmad Amaan, and Ayan Acharya, Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
Li Tang, Soumya Dutta, Natalie Klein, Wayne Yu Wang, Jonathan David Wolfe, Luke Van Roekel, Nathan Urban, Ayan Biswas, and Earl Lawrence, Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale, Proceedings of JuliaCon, 2024.
Soumya Dutta, Terece L. Turton, David Rogers, Jordan M. Musser, James Ahrens, and Ann S. Almgren, In Situ Feature Analysis for Large-scale Multiphase Flow Simulations, Journal of Computational Science (Elsivier), Volume: 63, 2022.
Jiayi Xu, Soumya Dutta, Wenbin He, Joachim Moortgat, and Han-Wei Shen, Geometry-Driven Detection, Tracking and Visual Analysis of Viscous and Gravitational Fingers, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2022, Volume: 28, Issue 3, pp. 1514 - 1528.
Ayan Biswas, Soumya Dutta, Earl Lawrence, John M. Patchett, Jon C. Calhoun, and James Ahrens, Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2021, Volume 27, Issue 12, pp. 4439-4454.
Soumya Dutta, Humayra Tasnim, Terece L. Turton, and James Ahrens, In Situ Adaptive Spatio-Temporal Data Summarization, IEEE International Conference on Big Data (IEEE Bigdata), 2021, pp. 315-321.
Soumya Dutta, Natalie Klein, Li Tang, Jonathan Wolfe, Luke Van Roekel, James Benedict, Ayan Biswas, Earl Lawrence, and Nathan Urban, In Situ Climate Modeling for Analyzing Extreme Weather Events, In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV 2021), pp. 18-23, co-located with SC 2021.
Subhashis Hazarika, Soumya Dutta, Han-Wei Shen, and Jen-Ping Chen, CoDDA: A Flexible Copula-based Distribution Driven Analysis Framework for Large-Scale Multivariate Data, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2019, Volume 25, Issue 1, pp. 1214-1224.
Soumya Dutta, Han-Wei Shen, and Jen-Ping Chen, In Situ Prediction Driven Feature Analysis in Jet Engine Simulations, IEEE Pacific Visualization Symposium (IEEE PacificVis), 2018, pp. 66-75.
Soumya Dutta, Chun-Ming Chen, Gregory Heinlein, Han-Wei Shen, and Jen-Ping Chen, In Situ Distribution Guided Analysis and Visualization of Transonic Jet Engine Simulations, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2017, Volume 23, Issue 1, pp. 811-820.
Soumya Dutta, Jonathan Woodring, Han-Wei Shen, Jen-Ping Chen, and James Ahrens, Homogeneity Guided Probabilistic Data Summaries for Analysis and Visualization of Large-Scale Data Sets, IEEE Pacific Visualization Symposium (IEEE PacificVis), 2017, 111-120.
Soumya Dutta and Han-Wei Shen, Distribution Driven Extraction and Tracking of Features for Time-varying Data Analysis, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2016, Volume 22, Issue 1, pp. 837-846.
Chun-Ming Chen, Soumya Dutta, Xiaotong Liu, Gregory Heinlein, Han-Wei Shen, and Jen-Ping Chen, Visualization and Analysis of Rotating Stall for Transonic Jet Engine Simulation, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2016, Volume 22, Issue 1, pp. 847-856.
Ayan Biswas, Soumya Dutta, Han-Wei Shen, and Jonathan Woodring, An Information-Aware Framework for Exploring Multivariate Data Sets, IEEE Transactions on Visualization and Computer Graphics (TVCG), 2013, Volume 19, Issue 12, pp. 2683-2692.
Awards & Fellowships
Best Reviewer, Honorary Mention Award for the journal IEEE Transactions on Visualization & Computer Graphics (TVCG), 2021.
Best Paper Award at ISAV 2021, co-located with Supercomputing (SC).
LAAP Award at Los Alamos National Laboratory, 2021.
Best Paper Award at TopoInVis 2019.
Best Paper Award at ISAV 2018, co-located with Supercomputing (SC).
Best Paper Honorable Mention Award at IEEE Visualization Conference (IEEE VIS) 2016.
Research Group
INSIGHT: Intelligent Scientific and Visual Computing of Big Data: https://soumyadutta-cse.github.io/group/
Sponsored Project
1. DAVi: An Intelligent Data Analytics and Visualization Framework, funded by ISRO
2. Enabling Interactive Big Data Analytics and Visualization at Exascale via In Situ Efficient Statistical Data Modeling, funded by ANRF
3. Intelligent Visual Computing of Extreme-scale Data for Accelerating Scientific Discovery, funded by IIT Kanpur Initiation Grant
4. Development of AI-Enabled National Portal for Efficient Search of Missing People, funded by C3iHub, IIT Kanpur
5. Proactive and Generalized Deepfake Defense Mechanisms to Reinforce Cyberspace, funded by C3iHub, IIT Kanpur
Other Academic Activities
1. Workshop Co-chair: Visualization for Digital Humanities in conjunction with: IEEE Pacific Visualization Conference 2025.
2. Best Paper Selection Committee Member: IEEE Visualization (IEEEVIS 2025)
3. Program Co-chair (VIS track): 19th International Symposium on Visual Computing (ISVC’24), Lake Tahoe, Nevada, USA (2024).
4. Posters Co-chair: IEEE Symposium on Large Data Analysis and Visualization (LDAV 2023-24)
5. Co-chair: IEEE Visualization Fast Forward and Video Previews (2023-24)
6. Co-chair: IEEE Visualization Application Spotlights (2021-22)
7. Workshop Co-chair: Visualization in Environmental Sciences (EnvirVis 2020-24) (Co-located with EuroVis)
8. Reviewing Research Proposals for United States Department of Energy (DOE), Office of Advanced Scientific Computing Research (ASCR), 2024.
9. Reviewing Research Proposals for German Research Foundation: Deutsche Forschungsgemeinschaft (DFG) (2023, 2024)
Additional information
Prof. Soumya Dutta is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the Indian Institute of Technology, Kanpur (IITK). Prof. Dutta obtained his Ph.D. degree in Computer Science and Engineering from the Ohio State University in May 2018 where he was part of the GRAVITY research group. After his doctoral studies, Prof. Dutta worked as a postdoctoral researcher at the Applied Computer Sciences group (CCS-7) of Los Alamos National Laboratory (LANL) from June 2018-July 2019. Then he was converted to a full-time scientist in the Information Sciences group (CCS-3) at LANL where he worked from July 2019 - August 2022.
Presently at IIT Kanpur, Prof. Dutta leads the INSIGHT research group (https://soumyadutta-cse.github.io/group/) and is involved in several diverse research projects, covering domains of AI for Scientific Computing and AI for Social Good.
Dr. Dutta's research is supported by ANRF, ISRO, C3iHub, and IIT Kanpur. For more information please visit: https://soumyadutta-cse.github.io/
PhD Supervision
Current PhD Students
Anubhav Dixit, Shanu Saklani, Sankhadeep Bhowmick, Ananya Chaturvedi, Arpita Santra, and Robin Shah