| 2026 | DATE | MIRAGE:MRAM-Based Near ADC-Less Compute-In-Memory Macro for Deep Learning Acceleration. | Mainakh Mukherjee, Ayan B. Pranta, Utkarsh Saxena, Anushka Mukherjee, Deepika Sharma, Gaurav Kumar K, Kaushik Roy |
| 2026 | DATE | Late Breaking Results: Input Loss Curvature as a Predictor of Sample Vulnerability to Hardware-Noise. | Deepika Sharma, Deepak Ravikumar, Chih-Hsing Ho, Sangamesh Kodge, Kaushik Roy |
| 2025 | ASPDAC | HCiM: ADC-Less Hybrid Analog-Digital Compute in Memory Accelerator for Deep Learning Workloads. | Shubham Negi, Utkarsh Saxena, Deepika Sharma, Kaushik Roy |
| 2024 | DATE | Unearthing the Potential of Spiking Neural Networks. | Sayeed Shafayet Chowdhury, Adarsh Kumar Kosta, Deepika Sharma, Marco Paul E. Apolinario, Kaushik Roy |
| 2024 | IROS | Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation. | Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy |
| 2023 | DAC | Lightning Talk: A Perspective on Neuromorphic Computing. | Deepika Sharma, Adarsh Kumar Kosta, Kaushik Roy |
| 2022 | ISLPED | Identifying Efficient Dataflows for Spiking Neural Networks. | Deepika Sharma, Aayush Ankit, Kaushik Roy |
| 2021 | AMIA | A Monte Carlo Estimation of the Narrow-Sense Heritability of COVID-19 Infection and Severity from AncestryDNA Survey Data. | Amelia J. Averitt, Deepika Sharma, Michael Cantor |
| 2015 | CSEDU | Towards Adapting Sakai for e-Learning Provider. | Jyoti Chauhan, Khulan Batbayar, Richa Sharma, Deepika Sharma, Divya Popli, Naveen Kumar, Anita Goel |