Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement. - Adithya Krishna; André van Schaik; Chetan Singh Thakur (CoRR, 2020)

Implementation of fast independent component analysis on field-programmable gate array for resolving the slot collision issue in the space-based automatic identification system. - Adithya Krishna; Akshay Nimbal; Adarsh Makam A; V. Sambasiva Rao (Int. J. Satell. Commun. Netw., 2020)

Bayesian Source Localization Using Stochastic Computation. - Adithya Krishna; Chetan Singh Thakur (ISCAS, 2021)

FPGA Implementation of Particle Filters for Robotic Source Localization. - Adithya Krishna; André van Schaik; Chetan Singh Thakur (IEEE Access, 2021)

Biomimetic FPGA-based spatial navigation model with grid cells and place cells. - Adithya Krishna; Divyansh Mittal; Siri Garudanagiri Virupaksha; Abhishek Ramdas Nair; Rishikesh Narayanan; Chetan Singh Thakur (Neural Networks, 2021)

Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator. - Adithya Krishna; Hitesh Pavan Oleti; Anand Chauhan; H. Shankaranarayanan; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (BioCAS, 2023)

A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces. - Adithya Krishna; Vignesh Ramanathan; Satyapreet Singh Yadav; Sahil Shah; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (BioCAS, 2023)

RAMAN: A Re-configurable and Sparse tinyML Accelerator for Inference on Edge. - Adithya Krishna; Srikanth Rohit Nudurupati; Chandana D. G; Pritesh Dwivedi; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (CoRR, 2023)

Live Demonstration: Real-time audio and visual inference on the RAMAN TinyML accelerator. - Adithya Krishna; Ashwin Rajesh; Hitesh Pavan Oleti; Anand Chauhan; Shankaranarayanan H; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (ISCAS, 2024)

RAMAN: A Reconfigurable and Sparse tinyML Accelerator for Inference on Edge. - Adithya Krishna; Srikanth Rohit Nudurupati; Chandana D. G; Pritesh Dwivedi; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (IEEE Internet Things J., 2024)

Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications. - Adithya Krishna; Sohan Debnath; André van Schaik; Mahesh Mehendale; Chetan Singh Thakur (CoRR, 2025)