Soumya Dutta

Soumya Dutta

Assistant Professor of Computer Science & Engg. at IIT Kanpur Email: soumyad [at] cse [dot] iitk [dot] ac [dot] in

** We are looking for motivated students (Ph.D., M.S., M.Tech.) with excellent programming skills to join our group to work on exciting problems at the intersection of machine/deep learning, visual computing, image analysis, HPC, and big data science. **

Ph.D. Students

  1. Shanu Saklani

  2. Sankhadeep Bhowmick

  3. Ananya Chaturvedi

  4. Arpita Santra

  5. Anubhav Dixit (co-supervised with Prof. Koteswar Rao Jerripothula)

M.Tech. Students

  1. Kaushik Raj V. Nadar | B.Tech. (BSBE) - MS (SDS) | Batch’25 (Co-supervisor: Prof. Satya Prakash Singh)
    Project: Efficient Large-Scale Multivariate Data Analytics and Visualization using Statistical Approaches

  2. Kartik Jain | M.Tech. CSE | Batch’25
    Thesis: Learning Compressive Implicit Neural Representations of 3D Scalar Data: A Comparative Study Between Bottleneck and Low Rank Matrix Factorization-based Representations

  3. Komala Yaramareddy | M.Tech. CSE | Batch’23
    Thesis: Efficient Compression of Implicit Neural Networks for 3D Scalar Field Learning via Pruning with User-Guided Quality Control

  4. Shaurya Agarwal | M.Tech. CSE | Batch’23
    Thesis: A Multi-Modal Smart Search Framework for Person Identification via Facial Recognition and Textual Retrieval

  5. Shubham Srivastava | M.Tech. CSE | Batch’23
    Thesis: Understanding Adversarial Attacks on Deep Neural Networks via Interactive Visual Analytics

  6. Prashik Ganer | M.Tech. CSE | Batch’23 (Co-supervisor: Prof. Purushottam Kar)
    Thesis: DAVi II - Design and Development of a Data Analytics and Visualization Platform

  7. Manish Agrawal | M.Tech. CSE | Batch’23 (Co-supervisor: Prof. Purushottam Kar)
    Thesis: DAVi I - Design and Development of a Data Analytics and Visualization Platform

  8. Vishal Kumar | M.Tech. CyS | Batch’23
    Thesis: Combating DeepFakes with GAN-Based Watermarking and Adversarial Robustness Evaluation

  9. Atul Kumar | M.Tech. CSE | Batch’22
    Thesis: Uncertainty-Aware Implicit Neural Networks for Visual Analytics of Complex Vector Fields

  10. Abhay Kumar Dwivedi | M.Tech. CSE | Batch’22
    Thesis: Implicit Neural Networks for Visual Analytics of Large Multivariate Data

  11. Komal Yadav | M.Tech. CSE | Batch’22
    Thesis: Impact of Adaptive Sampling for Building Comprerssive Neural Representations of Large Scientific Data

  12. Vivek Kumar Gautam | M.Tech. CSE | Batch’22
    Thesis: Efficient View Synthesis of Scientific Data via Deep Image Regression

  13. Drashtant Singh Rathod | M.Tech. CSE | Batch’22
    Project: Understanding Adversarial Attacks using Techniques of Explainability and Interactive Visual Analytics

B.Tech. UGP Students

  1. Hardik Jindal [EE]
    Project Title: MRL for Multiresolution Image Synthesis
  2. Chitwan Goel [CSE]
    Project Title: Local Latent Space Modeling of Multivariate Data for Feature analysis and Data Reduction
  3. Tamidala Venkata Sai Pawan Chanukya Reddy [CSE]
    Project Title: Visual Analysis of Optimization and Generalization in Neural Networks
  4. Raghav Manglik [CSE]
    Project Title: Bidirectional Generative Modelling for Transfer Function-Aware Explorable View Synthesis of 3D Data
  5. Shrilakshmi S K [CSE]
    Project Title: Autoencoder-Based Local Latent Modeling for Ensemble Data Compression and Feature Analysis
  6. Palak Mishra [SDS]
    Project Title: Efficient 3D Data Summarization and Recovery via Void-and-Cluster Sampling and Neural Network-based Reconstruction
  7. Manasvi Jain [CSE]
    Project Title: Local Latent Representations for Compressed and Interpretable 3D Scalar Data Analysis
  8. Depanshu Sahu [CSE]
    Project Title: In-Situ Copula Modeling for Large-Scale Simulations
  9. Aarish Muhammad Khan [CE]
    Project Title: Distribution Parameter Compression with SIREN
  10. Chitwan Goel [CSE]
    Project Title: Representing Large 3D Volumetric Data using Uncertainty-Aware Deep Learning Models
  11. Shrey Bansal [CSE]
    Project Title: Representing Large 3D Volumetric Data using Uncertainty-Aware Deep Learning Models
  12. Aditya Bangar [CSE]
    Project Title: Uncertainty Aware Affective Behavior Analysis: Baseline Setup
  13. Ahmad Amaan [ME]
    Project Title: Evaluating Generative Models for Volume Visualization
  14. Yerusu Dharini Reddy [EE]
    Project Title: Evaluating CoordNet for Diverse Visualization Generation Tasks
  15. Navya [EE]
    Project Title: Evaluating CoordNet for Diverse Visualization Generation Tasks
  16. Rashmi G R [CSE]
    Project Title: Frailty Data Analysis and Visualization
  17. Ayush Kumar [EE]
    Project Title: Visualizing Impact of Uncertainty and Adversarial Attack on Deep Classifier Models
  18. Yashwant Mahajan [EE]
    Project Title: Visualizing Impact of Uncertainty and Adversarial Attack on Deep Classifier Models
  19. Faheem Nizar [EE]
    Project Title: Exploring Uncertainty in Deep Learning Models using Interactive Visual Analytics
  20. Ahmad Amaan [ME]
    Project Title: Estimation and Visual Analytics of Uncertainty in Deep Image Synthesizing Models

SURGE Students

  1. Narendra Singh (CSE) [Summer 2023]
    Project Title: Visualizing Convolutional Neural Networks for Explainability and Interpretability
  2. Soham Sen (AE) [Summer 2023]
    Project Title: Visualizing Convolutional Neural Networks: Explainability and Interpretability
    • Best Project in Engineering Award
    • Dr. Elizabeth and Dr. Varkey Cherian Award for Best Project