Soumya Dutta

About

Soumya Dutta is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at the Indian Institute of Technology, Kanpur (IITK). Soumya 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, Soumya 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 promoted to a full-time scientist in the Information Sciences group (CCS-3) at LANL where he worked from July 2019 - August 2022. Dr. Dutta's current research interests include: Machine Learning, Visual Computing, Data Analysis, Visualization, Big Data, HPC , and In Situ Analysis.

Employment

• Indian Institute of Technology Kanpur Assistant Professor
  2022 - Present
• Los Alamos National Laboratory Scientist-2
  2019 - 2022
• Los Alamos National Laboratory Postdoc
  2018 - 2019

Education

• The Ohio State University PhD
  2011 - 2018
• West Bengal University of Technology Bachelor of Technology
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (36)

• DAVi: A Slim, Secure and Scalable Framework for Developing Data Analytics and Visualization Platforms
  2026 DOI: 10.1145/3796563.3796603
  +Save
• Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation
  2025 DOI: 10.1145/3774521.3774530
  +Save
• Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis
  IEEE Transactions on Visualization and Computer Graphics 2025 DOI: 10.1109/TVCG.2024.3406959
  +Save
• Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data
  IEEE Transactions on Visualization and Computer Graphics 2025 DOI: 10.1109/TVCG.2024.3456360
  +Save
• Julia for HPC: In Situ Data Analysis with Julia for Climate Simulations at Large Scale
  JuliaCon Proceedings 2024 DOI: 10.21105/jcon.00134
  +Save
• In situ feature analysis for large-scale multiphase flow simulations
  Journal of Computational Science 2022 DOI: 10.1016/j.jocs.2022.101773
  +Save
• Information-Theoretic Exploration of Multivariate Time-Varying Image Databases
  Computing in Science & Engineering 2022 DOI: 10.1109/MCSE.2022.3188291
  +Save
• Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis
  IEEE Transactions on Visualization and Computer Graphics 2021 DOI: 10.1109/tvcg.2020.3006426
  +Save
• Objective Finite-Time Flow Topology from Flowmap Expansion and Contraction
  Mathematics and Visualization 2021 DOI: 10.1007/978-3-030-83500-2_7
  +Save
• Feature Analysis, Tracking, and Data Reduction: An Application to Multiphase Reactor Simulation MFiX-Exa for In-Situ Use Case
  Computing in Science & Engineering 2021 DOI: 10.1109/MCSE.2020.3016927
  +Save