Towards a Route Planning Tool for Open Optical Networks in the Telecom Infrastructure Project. - Brian D. Taylor; Gilad Goldfarb; Saumil Bandyopadhyay; Vittorio Curri; Hans-Juergen Schmidtke (OFC, 2018)

Robust Zero-Change Self-Configuration of the Rectangular Mesh. - Ryan Hamerly; Saumil Bandyopadhyay; Dirk R. Englund (OFC, 2021)

Hardware error correction for programmable photonics. - Saumil Bandyopadhyay; Ryan Hamerly; Dirk R. Englund (CoRR, 2021)

Accurate Self-Configuration of Rectangular Multiport Interferometers. - Ryan Hamerly; Saumil Bandyopadhyay; Dirk R. Englund (CoRR, 2021)

Stability of Self-Configuring Large Multiport Interferometers. - Ryan Hamerly; Saumil Bandyopadhyay; Dirk R. Englund (CoRR, 2021)

Infinitely Scalable Multiport Interferometers. - Ryan Hamerly; Saumil Bandyopadhyay; Dirk R. Englund (CoRR, 2021)

Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. - Ryan Hamerly; Saumil Bandyopadhyay; Alexander Sludds; Dirk R. Englund (OFC, 2022)

Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing. - Alexander Sludds; Ryan Hamerly; Saumil Bandyopadhyay; Zhizhen Zhong; Zaijun Chen; Liane Bernstein; Manya Ghobadi; Dirk R. Englund (OFC, 2022)

WDM-Enabled Photonic Edge Computing. - Alexander Sludds; Ryan Hamerly; Saumil Bandyopadhyay; Zaijun Chen; Zhizhen Zhong; Liane Bernstein; Manya Ghobadi; Dirk R. Englund (OECC/PSC, 2022)

Delocalized Photonic Deep Learning on the Internet's Edge. - Alexander Sludds; Saumil Bandyopadhyay; Zaijun Chen; Zhizhen Zhong; Jared Cochrane; Liane Bernstein; Darius Bunandar; P. Ben Dixon; Scott A. Hamilton; Matthew Streshinsky; Ari Novack; Tom Baehr Jones; et al. (CoRR, 2022)

Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks. - Ryan Hamerly; Alexander Sludds; Saumil Bandyopadhyay; Zaijun Chen; Zhizhen Zhong; Liane Bernstein; Dirk R. Englund (CoRR, 2022)

Single chip photonic deep neural network with accelerated training. - Saumil Bandyopadhyay; Alexander Sludds; Stefan Krastanov; Ryan Hamerly; Nicholas C. Harris; Darius Bunandar; Matthew Streshinsky; Michael Hochberg; Dirk R. Englund (CoRR, 2022)

A Self-Similar Sine-Cosine Fractal Architecture for Multiport Interferometers. - Jasvith Raj Basani; Sri Krishna Vadlamani; Saumil Bandyopadhyay; Dirk R. Englund; Ryan Hamerly (CoRR, 2022)

Accelerating Artificial Intelligence with Programmable Silicon Photonics - Saumil Bandyopadhyay (2023)

A Three-Terminal Nanophotonic Integrator for Deep Neural Networks. - Saumil Bandyopadhyay; Kfir Sulimany; Alexander Sludds; Ryan Hamerly; Keren Bergman; Dirk R. Englund (OFC, 2025)