ViTA: A Vision Transformer Inference Accelerator for Edge Applications. - Shashank Nag; Gourav Datta; Souvik Kundu 002; Nitin Chandrachoodan; Peter A. Beerel (ISCAS, 2023)

LogicNets vs. ULEEN : Comparing two novel high throughput edge ML inference techniques on FPGA. - Shashank Nag; Zachary Susskind; Aman Arora 001; Alan T. L. Bacellar; Diego L. C. Dutra; Igor D. S. Miranda; Krishnan Kailas; Eugene B. John; Maurício Breternitz; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John (MWSCAS, 2024)

Shrinking the Giant : Quasi-Weightless Transformers for Low Energy Inference. - Shashank Nag; Alan T. L. Bacellar; Zachary Susskind; Anshul Jha; Logan Liberty; Aishwarya Sivakumar; Eugene B. John; Krishnan Kailas; Priscila M. V. Lima; Neeraja J. Yadwadkar; Felipe M. G. França; Lizy K. John (CoRR, 2024)

nanoML for Human Activity Recognition. - Alan T. L. Bacellar; Mugdha P. Jadhao; Shashank Nag; Priscila M. V. Lima; Felipe M. G. França; Lizy K. John (CoRR, 2025)

HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving. - Avinash Kumar; Shashank Nag; Jason Clemons; Lizy Kurian John; Poulami Das 005 (CoRR, 2025)