A blockchain and deep neural networks-based secure framework for enhanced crop protection. - Vikas Hassija; Siddharth Batra; Vinay Chamola; Tanmay Anand; Poonam Goyal; Navneet Goyal; Mohsen Guizani (Ad Hoc Networks, 2021)

CoMeFa: Compute-in-Memory Blocks for FPGAs. - Aman Arora 001; Tanmay Anand; Aatman Borda; Rishabh Sehgal; Bagus Hanindhito; Jaydeep Kulkarni; Lizy K. John (FCCM, 2022)

MathRAMs: Configurable Fused Compute-Memory Blocks for FPGAs. - Aman Arora 001; Aatman Borda; Tanmay Anand; Bagus Hanindhito; Lizy K. John (FPGA, 2022)

An Effective Detection of Litchi Disease using Deep Learning. - Mansi Dahiya; Guru Prasad Srinivasa; Tanmay Anand; Khushi Kumar; Sparsh Bansal; H. N. Naveen Kumar (ICCCNT, 2023)

CoMeFa: Deploying Compute-in-Memory on FPGAs for Deep Learning Acceleration. - Aman Arora 001; Atharva Bhamburkar; Aatman Borda; Tanmay Anand; Rishabh Sehgal; Bagus Hanindhito; Pierre-Emmanuel Gaillardon; Jaydeep Kulkarni; Lizy K. John (ACM Trans. Reconfigurable Technol. Syst., 2023)

Koios 2.0: Open-Source Deep Learning Benchmarks for FPGA Architecture and CAD Research. - Aman Arora 001; Andrew Boutros; Seyed Alireza Damghani; Karan Mathur; Vedant Mohanty; Tanmay Anand; Mohamed A. Elgammal; Kenneth B. Kent; Vaughn Betz; Lizy K. John (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)