Machine Learning Techniques for AUV Side-Scan Sonar Data Feature Extraction as Applied to Intelligent Search for Underwater Archaeological Sites. - Nandeeka Nayak; Makoto Nara; Timmy Gambin; Zoë J. Wood; Christopher M. Clark (FSR, 2019)

Opening Pandora's Box: A Systematic Study of New Ways Microarchitecture Can Leak Private Data. - Jose Rodrigo Sanchez Vicarte; Pradyumna Shome; Nandeeka Nayak; Caroline Trippel; Adam Morrison 001; David Kohlbrenner; Christopher W. Fletcher (ISCA, 2021)

TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators. - Nandeeka Nayak; Toluwanimi O. Odemuyiwa; Shubham Ugare; Christopher W. Fletcher; Michael Pellauer; Joel S. Emer (MICRO, 2023)

TeAAL: A Declarative Framework for Modeling Sparse Tensor Accelerators (Abstract). - Nandeeka Nayak; Toluwanimi O. Odemuyiwa; Shubham Ugare; Christopher W. Fletcher; Michael Pellauer; Joel S. Emer (HOPC@SPAA, 2024)

FuseMax: Leveraging Extended Einsums to Optimize Attention Accelerator Design. - Nandeeka Nayak; Xinrui Wu; Toluwanimi O. Odemuyiwa; Michael Pellauer; Joel S. Emer; Christopher W. Fletcher (MICRO, 2024)