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
    Research Theme: Efficient, Interpretable, and Uncertainty-Aware Deep Learning Methods for Visual Computing of Big Data

  2. Sankhadeep Bhowmick
    Research Theme: Efficient, Interpretable, and Uncertainty-Aware Deep Learning Methods for Visual Computing of Big Data

M.Tech. Students

  1. Kartik Jain | M.Tech. CSE | Batch’25
    Topic: Modeling of Large Time-varying Volumetric Data using Sparse Data Samples via Deep Learning

  2. Komala Yaramareddy | M.Tech. CSE | Batch’25
    Topic: Visualizing Neural Networks to Explore Their Internal Inference Methodology

  3. Shaurya Agarwal | M.Tech. CSE | Batch’25
    Topic: Deep Facial Recognition for Enabling Efficient Search and Rescue of Missing People

  4. Shubham Srivastava | M.Tech. CSE | Batch’25
    Topic: Developing AI-enabled Portal for Enabling Efficient Search and Rescue of Missing People

  5. Prashik Ganer | M.Tech. CSE | Batch’25 (Co-supervisor: Prof. Purushottam Kar)
    Topic: Developing AI-enabled Portal for Real-time Monitoring of Satellite Health

  6. Manish Agrawal | M.Tech. CSE | Batch’25 (Co-supervisor: Prof. Purushottam Kar)
    Topic: Developing AI-enabled Portal for Real-time Monitoring of Satellite Health

  7. Vishal Kumar | M.Tech. CyS | Batch’25
    Topic: Development of Proactive Deep Fake Detection Technologies

  8. Atul Kumar | M.Tech. CSE | Batch’24
    Topic: Uncertainty-Aware Implicit Neural Networks for Visual Analytics of Complex Vector Fields

  9. Abhay Kumar Dwivedi | M.Tech. CSE | Batch’24
    Topic: Implicit Neural Networks for Visual Analytics of Large Multivariate Data

  10. Komal Yadav | M.Tech. CSE | Batch’24
    Topic: Impact of Adaptive Sampling for Building Comprerssive Neural Representations of Large Scientific Data

  11. Vivek Kumar Gautam | M.Tech. CSE | Batch’24
    Topic: Efficient Image Synthesis of Large Data using Deep Active Learning

  12. Drashtant Singh Rathod | M.Tech. CSE | Batch’24
    Topic: xAI + Visual Analytics for Comprehending Adversarial Attacks on Facial Recognition Models

B.Tech. UGP Students

  1. Chitwan Goel [CSE] [Sem. 2023-24-II]
    Project Title: Representing Large 3D Volumetric Data using Uncertainty-Aware Deep Learning Models
  2. Shrey Bansal [CSE] [Sem. 2023-24-II]
    Project Title: Representing Large 3D Volumetric Data using Uncertainty-Aware Deep Learning Models
  3. Aditya Bangar [CSE] [Sem. 2023-24-II]
    Project Title: Uncertainty Aware Affective Behavior Analysis: Baseline Setup
  4. Ahmad Amaan [ME] [Sem. 2023-24-II]
    Project Title: Evaluating Generative Models for Volume Visualization
  5. Yerusu Dharini Reddy [EE] [Sem. 2023-24-II]
    Project Title: Evaluating CoordNet for Diverse Visualization Generation Tasks
  6. Navya [EE] [Sem. 2023-24-II]
    Project Title: Evaluating CoordNet for Diverse Visualization Generation Tasks
  7. Rashmi G R [CSE] [Sem. 2023-24-I]
    Project Title: Frailty Data Analysis and Visualization
  8. Ayush Kumar (EE) [Sem. 2022-23-II]
    Project Title: Visualizing Impact of Uncertainty and Adversarial Attack on Deep Classifier Models
  9. Yashwant Mahajan (EE) [Sem. 2022-23-II]
    Project Title: Visualizing Impact of Uncertainty and Adversarial Attack on Deep Classifier Models
  10. Faheem Nizar (EE) [Sem. 2022-23-II]
    Project Title: Exploring Uncertainty in Deep Learning Models using Interactive Visual Analytics
  11. Ahmad Amaan (ME) [Sem. 2022-23-II]
    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