Publications

• Arrhythmia Classification at the Edge Using a Weightless Neural Network Hardware Accelerator
  22nd International Symposium on Applied Reconfigurable Computing (ARC), Cagliari–Sardinia, Italy.
  Anshul Jha, Shashank Nag, Igor D. S. Miranda, Felipe M. G. Franca, Lizy K. John, Priscila M. V. Lima and Eugene B. John

• HMix: An Efficient Hardware Accelerator for Quantized MLP-Mixer Inference
  23rd ACM International Conference on Computing Frontiers (CF 2026), Catania, Sicily, Italy.
  Dhananjay Rao Thallikar Shyam, Shashank Nag, and Lizy K. John

• HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
  9th Annual Conference on Machine Learning and Systems (MLSys) 2026, Bellevue, WA.
  Avinash Kumar, Shashank Nag, Jason Clemons, Lizy K. John and Poulami Das

• Differentiable Weightless Neural Networks for Differential Sensing
  EdgeAI Research Symposium 2026, San Diego, CA.
  Andrew Jacob, Richard Huang, Johnny Shen, Shashank Nag, Matthew Dixon, Praveen Prasupathy, Diana Zamora-Olivares, Eric V. Anslyn, and Lizy K. John

• LL-ViT: Edge Deployable Vision Transformers with Look Up Table Neurons
  24th International Conference on Field Programmable Technology (FPT) 2025, Shanghai, China.
  Shashank Nag, Alan T.L. Bacellar, Zachary Susskind, Anshul Jha, Logan Liberty, Aishwarya Sivakumar, Eugene John, Krishnan Kailas, Priscila Lima, Neeraja Yadwadkar, Felipe Franca and Lizy K. John

• Hybrid Weightless Neural Networks for Efficient Edge Inference
  35th International Conference on Field-Programmable Logic and Applications (FPL) 2025, Leiden, Netherlands.
  Mugdha Jadhao, Alan T.L. Bacellar, Shashank Nag, Igor D.S. Miranda, Felipe M.G. Franca, and Lizy K. John

• nanoML for Human Activity Recognition
  Edge AI Symposium 2025, Austin, TX.
  Alan T.L. Bacellar, Mugdha Jadhao, Shashank Nag, Priscila Lima, Felipe MG Franca, and Lizy K. John

• Lightweight Vision Transformers for Low Energy Edge Inference
  ML for Computer Architecture and Systems (MLArchSys) Workshop 2024, colocated at the IEEE International Symposium on Computer Architecture (ISCA) 2024, Buenos Aires, Argentina.
  Shashank Nag, Logan Liberty, Aishwarya Sivakumar, Neeraja J. Yadwadkar and Lizy K. John

• LogicNets vs. ULEEN: Comparing two novel high throughput edge ML inference techniques on FPGA
  IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS) 2024, Springfield, MA.
  Shashank Nag, Zachary Susskind, Aman Arora, Allan T.L. Bacellar, Diego L.C. Dutra, Igor D.S. Miranda, Krishnan Kailas, Eugene B. John, Mauricio Breternitz Jr., Priscila M. V. Lima, Felipe M. G. Franca and Lizy K. John

• ViTA: a Vision Transformer Inference Accelerator for Edge Applications
  IEEE International Symposium on Circuits and Systems (ISCAS) 2023, Monterey, CA.
  Shashank Nag, Gourav Datta, Souvik Kundu, Nitin Chandrachoodan, Peter A. Beerel

You can find my articles on my Google Scholar profile.