Recent Publications

• Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Derrik E. Asher, Anit Kumar Sahu, Mubarak Shah, Vinay P Namboodiri, Amrit Singh Bedi, "Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach", International Conference on Learning Representations 2026, Riocentro Convention and Event Center, Rio de Janeiro, Brazil, 2026.
• Shanu Saklani, Tushar M. Athawale, Nairita Pal, David Pugmire, Chris R. Johnson, Soumya Dutta, "REV-INR: Regularized Evidential Implicit Neural Representation for Uncertainty-Aware Volume Visualization", 19th IEEE Pacific Visualization Conference (PacificVis), Sydney, Australia, 2026.
• Nimisha Agarwal, Vinayak Gupta, Amey Karkare, "EVALUATING LLM‑GENERATED FEEDBACK FOR DEBUGGING ASSISTANCE IN CS1", 20th annual International Technology, Education and Development Conference, Valencia, Spain, 2026.
• Deepak, Rahul Balout, Anupam Golder, Suparna Kundu, Angshuman Karmakar, Debayan Das, "Machine Learning Power Side-Channel Attack on SNOW-V", 39-th International Conference On VLSI Design, MIT World Peace University, Pune, Maharashtra, India., 2026.
• Archisman Ghosh, Ming-Che Li, Lingke Ding, Suparna Kundu, Abdullah Sayeed, Angshuman Karmakar, Harshit Naman, Sarthak Antal, Ingrid Verbauwhede, Shreyas Se, "A 16nm 0.042mm2 0.66uJ/Ops Lightweight MLWE PQC KEM with Cryptanalysis-ASIC Co-optimization", 2026 IEEE International Solid-State Circuits Conference (ISSCC), San Francisco, CA, USA, 2026.
• Harry Hart, Puja Mondal, Suparna Kundu, Supriya Adhikary, Angshuman Karmakar, Chaoyun Li, "LightCROSS: A Secure and Memory Optimized Post-Quantum Digital Signature CROSS", IACR Transactions on Cryptographic Hardware and Embedded Systems 2026, Antalya, Turkey, 2026.
• Rohit Singh, Debadatta Mishra, "FlexClone: Efficient, Flexible and Pluggable File Cloning Support for Filesystems", ACM/IFIP International Middleware Conference, pp. 383–397, 2025.
• Prajval Koul, Satyadev Nandakumar, "On effective Banach-Mazur games and an application to the Poincare recurrence theorem for category", STACS 2026, Grenoble, France, 2026.
• Utsav Singh, Vinay P. Namboodiri, "CRISP: Curriculum Inducing Primitive Informed Subgoal Prediction for Hierarchical Reinforcement Learning", AAAI Conference on Artificial Intelligence, Singapore EXPO, 2026.
• Akshar Tumu , Varad Shinde , Parisa Kordjamshidi, "Referring Expressions as a Lens into Spatial Language Grounding in Vision-Language Models", IJCNLP - AACL, IIT Bombay, 2025.
• Manish Agrawal, Prashik Ganer, Amit Bhasita, Khushwant Kaswan, Tippireddy Yashwanth, Soumya Dutta, Purushottam Kar, "DAVi: A Slim, Secure and Scalable Framework for Developing Data Analytics and Visualization Platforms", 19th Innovations in Software Engineering Conference (ISEC), IIS Jaipur, 2026.
• Yashika Verma, Debadatta Mishra, Mainak Chaudhuri, "LeakyRand: An Efficient High-fidelity Covert Channel in Fully Associative Last-level Caches with Random Eviction", CASES 2025 and ACM Transactions on Embedded Computing Systems (ESWEEK 2025 special issue), TAIPEI, TAIWAN, vol. 24, no. 5s, 2025.
• 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), Clearwater, USA, 2025.
• Abhay Kumar Dwivedi, Shanu Saklani, Soumya Dutta, "Compressive Modeling and Visualization of Multivariate Scientific Data using Implicit Neural Representation", 16th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP), IIT Mandi, India, 2025.
• Mudit Gaur, Utsav Singh, Amrit Singh Bedi, Raghu Pasupathy, Vaneet Aggarwal, "On the Sample Complexity Bounds of Bilevel Reinforcement Learning", Conference on Neural Information Processing Systems, San Diego Convention Center, 2025.
• Suvam Basak, Amitangshu Pal, Debopam Bhattacherjee, "CosmicDance: Measuring Low Earth Orbital Shifts due to Solar Radiations", ACM IMC, Madrid, Spain, pp. 19-28, 2024.
• Shubham Sinha, Ashutosh Deshwal, Alireza Azizi, Divyanshu Pandey, Nishant Mehrotra, Amitangshu Pal, Ashutosh Sabharwal, , "Through-the-Wall Multi-Person Localization using Translation and Rotation Synthetic Aperture Radar", IEEE ICASSP, Hyderabad, India, pp. 1-5, 2025.
• Suvam Basak, Amitangshu Pal, Debopam Bhattacherjee, "An investigation of Starlink's performance during the May'24 solar superstorm", ACM LEO-NET, Coimbra, Portugal, pp. 21-27, 2025.
• Suvam Basak, Amitangshu Pal, Debopam Bhattacherjee, "LEOCraft: Towards Designing Performant LEO Networks", USENIX ATC, Boston, MA, USA, pp. 789-813, 2025.
• Vishesh Mishra, Dipesh, Sparsh Mittal, Urbi Chatterjee, "SATGuard: SAT-Driven Countermeasures for Protecting Approximate Circuits from hardware Trojan", ACM Transactions on Embedded Computing System, 2025.
• Tushar Gautam, Nimisha Agarwal, Amey Karkare, "A Study of Teaching Tools for Parsing", ACM COMPUTE 2025, IIT Ropar, 2025.
• Surender Baswana, Koustav Bhanja, Anupam Roy, "Faster Algorithm for Second (s,t)-mincut and Breaking Quadratic barrier for Dual Edge Sensitivity for (s,t)-mincut", European Symposium on Algorithms (ESA), Warsaw, Poland, 2025.
• Utsav Singh, Vinay P Namboodiri, "PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning", International Conference on Learning Representations, Singapore EXPO, 2025.
• Atul Kumar, Siddharth Garg, Soumya Dutta, "Uncertainty-Aware Deep Neural Representations for Visual Analysis of Vector Field Data", IEEE Transactions on Visualization and Computer Graphics (TVCG) (Proceedings of IEEE Visualization Conference), Florida, USA (Moved to Virtual), 2024.
• Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Singh Bedi, "PIPER: Primitive-Informed Preference-based Hierarchical Reinforcement Learning via Hindsight Relabeling", International Conference on Machine Learning, Vienna, Austria, 2024.
• Soumya Dutta, Faheem Nizar, Ahmad Amaan, Ayan Acharya, "Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis", IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
• Atanu Shuvam Roy, Priyanka Bagade, "Attentive-YOLO: On-Site Water Pipeline Inspection Using Efficient Channel Attention and Reduced ELAN-Based YOLOv7", In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, Rome, Itali, pp. 492-499, 2024.