M.S. Students

1. Kaushik Raj V. Nadar | B.Tech. (BSBE) - MS (SDS) | Batch'20 (Co-supervisor: Prof. Satya Prakash Singh)
Project: Efficient Large-Scale Multivariate Data Analytics and Visualization using Statistical Approaches

M.Tech. Students

19. Yashwanth Tippireddy | M.Tech. CSE | Batch'24
Thesis: TBD

18. Amit Bhasita | M.Tech. CSE | Batch'24
Thesis: TBD

17. Khushwant Kaswan | M.Tech. CSE | Batch'24
Thesis: TBD

16. Telugu Sudhakar | M.Tech. CSE | Batch'24
Thesis: TBD

15. Voora Nagendrabhaskaraswamy | M.Tech. CSE | Batch'24
Thesis: TBD

14. Divyanshu | M.Tech. CSE | Batch'24
Thesis: TBD

13. Devang Agrawal | M.Tech. CSE | Batch'24
Thesis: TBD

12. Kartik Jain | M.Tech. CSE | Batch'23
Thesis: Learning Compressive Implicit Neural Representations of 3D Scalar Data: A Comparative Study Between Bottleneck and Low Rank Matrix Factorization-based Representations

11. 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

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

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

8. 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

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

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

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

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

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

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

B.Tech. UGP Students

20. Hardik Jindal [EE]
Project Title: MRL for Multiresolution Image Synthesis
19. Chitwan Goel [CSE]
Project Title: Local Latent Space Modeling of Multivariate Data for Feature Analysis and Data Reduction
** Won Best UGP Award 2025
18. Tamidala Venkata Sai Pawan Chanukya Reddy [CSE]
Project Title: Visual Analysis of Optimization and Generalization in Neural Networks
17. Raghav Manglik [CSE]
Project Title: Bidirectional Generative Modelling for Transfer Function-Aware Explorable View Synthesis of 3D Data
16. Shrilakshmi S K [CSE]
Project Title: Autoencoder-Based Local Latent Modeling for Ensemble Data Compression and Feature Analysis
15. Palak Mishra [SDS]
Project Title: Efficient 3D Data Summarization and Recovery via Void-and-Cluster Sampling and Neural Network-based Reconstruction
14. Manasvi Jain [CSE]
Project Title: Local Latent Representations for Compressed and Interpretable 3D Scalar Data Analysis
13. Depanshu Sahu [CSE]
Project Title: In-Situ Copula Modeling for Large-Scale Simulations
12. Aarish Muhammad Khan [CE]
Project Title: Distribution Parameter Compression with SIREN
11. Chitwan Goel [CSE]
Project Title: Representing Large 3D Volumetric Data using Uncertainty-Aware Deep Learning Models
** Won Best UGP Award 2025
10. Shrey Bansal [CSE]
Project Title: Representing Large 3D Volumetric Data using Uncertainty-Aware Deep Learning Models
9. Aditya Bangar [CSE]
Project Title: Uncertainty Aware Affective Behavior Analysis: Baseline Setup
8. Ahmad Amaan [ME]
Project Title: Evaluating Generative Models for Volume Visualization
7. Yerusu Dharini Reddy [EE]
Project Title: Evaluating CoordNet for Diverse Visualization Generation Tasks
6. Navya [EE]
Project Title: Evaluating CoordNet for Diverse Visualization Generation Tasks
5. Rashmi G R [CSE]
Project Title: Frailty Data Analysis and Visualization
4. Ayush Kumar [EE]
Project Title: Visualizing Impact of Uncertainty and Adversarial Attack on Deep Classifier Models
3. Yashwant Mahajan [EE]
Project Title: Visualizing Impact of Uncertainty and Adversarial Attack on Deep Classifier Models
2. Faheem Nizar [EE]
Project Title: Exploring Uncertainty in Deep Learning Models using Interactive Visual Analytics
1. Ahmad Amaan [ME]
Project Title: Estimation and Visual Analytics of Uncertainty in Deep Image Synthesizing Models

SURGE Students

2. Narendra Singh (CSE) [Summer 2023]
Project Title: Visualizing Convolutional Neural Networks for Explainability and Interpretability
1. 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