| 2026 | HPDC | PowerQuant: Architecture-Agnostic GPU Power Estimation via Quantile Regression. | Aditya Challa, Tanish Desai, Gargi Alavani Prabhu, Snehanshu Saha, Santonu Sarkar |
| 2025 | CHI | Influence of Demographics and Personality Traits on Physiological Responses to Improve Continuous Emotion Annotation in Video Applications. | Swarnali Banik, Sougata Sen, Snehanshu Saha, Surjya Ghosh |
| 2025 | COMSNETS | PResCon: Physiological Response Augmented Continuous Emotion Annotation Tool. | Swarnali Banik, Akhilesh Adithya, Bivas Mitra, Sougata Sen, Snehanshu Saha, Surjya Ghosh |
| 2025 | HPDC | Adaptive GPU Power Capping: Balancing Energy Efficiency, Thermal Control and Performance. | Tanish Desai, Jainam Shah, Gargi Alavani, Snehanshu Saha, Santonu Sarkar |
| 2024 | ACII | Improving Continuous Emotion Annotation in Video Platforms via Physiological Response Profiling. | Swarnali Banik, Sougata Sen, Snehanshu Saha, Surjya Ghosh |
| 2024 | IJCNN | DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries. | Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury, Archana Mathur |
| 2024 | ICTAI | Estimating Power Consumption of GPU Application Using Machine Learning Tool. | Gargi Alavani Prabhu, Tanish Desai, Sharvil Potdar, Nayan Gogari, Snehanshu Saha, Santonu Sarkar |
| 2024 | UAI | QuantProb: Generalizing Probabilities along with Predictions for a Pre-trained Classifier. | Aditya Challa, Soma S. Dhavala, Snehanshu Saha |
| 2022 | ICONIP | Fairly Constricted Multi-objective Particle Swarm Optimization. | Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj |
| 2022 | ICONIP | A Fast and Robust Photometric Redshift Forecasting Method Using Lipschitz Adaptive Learning Rate. | Snigdha Sen, Snehanshu Saha, Pavan Chakraborty, Krishna Pratap Singh |
| 2022 | ICONIP | P-LSTM: A Novel LSTM Architecture for Glucose Level Prediction Problem. | Abhijeet Swain, Vaibhav Ganatra, Snehanshu Saha, Archana Mathur, Rekha Phadke |
| 2022 | ICONIP | HMC-PSO: A Hamiltonian Monte Carlo and Particle Swarm Optimization-Based Optimizer. | Omatharv Bharat Vaidya, Rithvik Terence DSouza, Soma S. Dhavala, Snehanshu Saha, Swagatam Das |
| 2022 | PAAMS | Study of Heterogeneous User Behavior in Crowd Evacuation in Presence of Wheelchair Users. | John Hata, Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha, Huy Tran Quang |
| 2021 | ICONIP | Solving the N-Queens and Golomb Ruler Problems Using DQN and an Approximation of the Convergence. | Patnala Prudhvi Raj, Snehanshu Saha, Gowri Srinivasa |
| 2021 | IJCNN | Prediction of Protein-Protein Interactions using Deep Multi-Modal Representations. | Kanchan Jha, Sriparna Saha, Snehanshu Saha |
| 2021 | IJCNN | A Swarm Variant for the Schrdinger Solver. | Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya, Snehanshu Saha |
| 2021 | IJCNN | LipARELU: ARELU Networks aided by Lipschitz Acceleration. | Ishita Mediratta, Snehanshu Saha, Shubhad Mathur |
| 2021 | IJCNN | DiffAct: A Unifying Framework for Activation Functions. | Snehanshu Saha, Archana Mathur, Aditya Pandey, Harshith Arun Kumar |
| 2021 | Mobiquitous | Dynamic Taxi Ride-Sharing Through Adaptive Request Propagation Using Regional Taxi Demand and Supply. | Haoxiang Yu, Vaskar Raychoudhury, Snehanshu Saha |
| 2020 | COMSNETS | Ant-Taxi to Pie-Passenger: Optimizing Routes and Time for Distributed Taxi Ride Sharing. | Aishwarya Manjunath, Vaskar Raychoudhury, Snehanshu Saha |
| 2020 | IJCNN | LALR: Theoretical and Experimental validation of Lipschitz Adaptive Learning Rate in Regression and Neural Networks. | Snehanshu Saha, Tejas Prashanth, Suraj Aralihalli, Sumedh Basarkod, T. S. B. Sudarshan, Soma S. Dhavala |
| 2020 | IJCNN | Parsimonious Computing: A Minority Training Regime for Effective Prediction in Large Microarray Expression Data Sets. | Shailesh Sridhar, Snehanshu Saha, Azhar Shaikh, Rahul Yedida, Sriparna Saha |
| 2020 | MASS | A Dynamic Taxi Ride Sharing System Using Particle Swarm Optimization. | Shrawani Silwal, Vaskar Raychoudhury, Snehanshu Saha, Md. Osman Gani |
| 2019 | ICDCN | COR-HR: an efficient hybrid routing approach using coefficient of restitution in MANET. | Sumana Sinha, Snehanshu Saha, Sudeepta Mishra |
| 2017 | ICDCN | An Energy-efficient and Buffer-aware Routing Protocol for Opportunistic Smart Traffic Management. | Sobin C. C., Vaskar Raychoudhury, Snehanshu Saha |
| 2017 | SmartComp | Early Prediction of LBW Cases via Minimum Error Rate Classifier: A Statistical Machine Learning Approach. | Anisha R. Yarlapati, Sudeepa Roy Dey, Snehanshu Saha |
| 2016 | ICMLA | A Novel Approach to Big Data Veracity Using Crowdsourcing Techniques and Bayesian Predictors. | Bhoomika Agarwal, Abhiram Ravikumar, Snehanshu Saha |