| 2026 | Mobisys | Phase Matters: Characterizing Heterogeneous Vision-Language Inference on a Mobile SoC. | Aryama V. Murthy, Yashas N. Kotre, Prathmesh Sharma, Pragya Mishra, Sanjith Ganapathi, Priyesh Shukla |
| 2025 | VTS | MOSAIC: Collaborative Compute-in-Memory Arrays for Flexible and Scalable Deep Learning. | Amit Ranjan Trivedi, Shamma Nasrin, Priyesh Shukla, Nastaran Darabi, Divake Kumar, Dinithi Jayasuriya, Nethmi Jayasinghe |
| 2024 | DATE | Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. | Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi |
| 2023 | ICASSP | Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. | Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2022 | ISCAS | Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. | Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi |
| 2021 | DATE | Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. | Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi |
| 2020 | ISCAS | MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. | Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi |
| 2020 | VLSID | Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. | Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi |