Lightweight Forth Programmable NoCs. - Vinay B. Y. Kumar; Deval Shah; Mandar Datar 001; Sachin B. Patkar (VLSID, 2018)

EDGE: Event-Driven GPU Execution. - Tayler Hicklin Hetherington; Maria Lubeznov; Deval Shah; Tor M. Aamodt (PACT, 2019)

Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. - Jonathan S. Lew; Deval A. Shah; Suchita Pati; Shaylin Cattell; Mengchi Zhang; Amruth Sandhupatla; Christopher Ng; Negar Goli; Matthew D. Sinclair; Timothy G. Rogers; Tor M. Aamodt (ISPASS, 2019)

Classroom Digital Twins with Instrumentation-Free Gaze Tracking. - Karan Ahuja; Deval Shah; Sujeath Pareddy; Franceska Xhakaj; Amy Ogan; Yuvraj Agarwal; Chris Harrison 001 (CHI, 2021)

Characterizing and Improving the Resilience of Accelerators in Autonomous Robots. - Deval Shah; Zi Yu Xue; Karthik Pattabiraman; Tor M. Aamodt (CoRR, 2021)

Label Encoding for Regression Networks. - Deval Shah; Zi Yu Xue; Tor M. Aamodt (ICLR, 2022)

Learning Label Encodings for Deep Regression. - Deval Shah; Tor M. Aamodt (ICLR, 2023)

Energy-Efficient Realtime Motion Planning. - Deval Shah; Ningfeng Yang; Tor M. Aamodt (ISCA, 2023)

Collision Prediction for Robotics Accelerators. - Deval Shah; Tor M. Aamodt (ISCA, 2024)

Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots. - Deval Shah; Zi Yu Xue; Karthik Pattabiraman; Tor M. Aamodt (ACM Trans. Cyber Phys. Syst., 2024)

BlindSight: Harnessing Sparsity for Efficient VLMs. - Tharun Adithya Srikrishnan; Deval Shah; Steven K. Reinhardt (CoRR, 2025)