Adithya Krishna

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Chetan Singh ThakurIndian Institute of Science (IISc), BangaloreVerified email at iisc.ac.in
André van SchaikDirector, International Centre for Neuromorphic Systems, Western Sydney UniversityVerified email at westernsydney.edu.au
Rishikesh NarayananProfessor, Molecular Biophysics Unit, Indian Institute of Science, BangaloreVerified email at iisc.ac.in
Chandra Sekhar SeelamantulaIndian Institute of Science, BangaloreVerified email at ee.iisc.ernet.in
Divyansh MittalPostdoctoral Fellow, University of Lausanne, SwitzerlandVerified email at iisc.ac.in
Sunil RudreshIndian Institute of ScienceVerified email at iisc.ac.in
Siri Garudanagiri VirupakshaCarnegie Mellon UniversityVerified email at alumni.cmu.edu
Abhishek Ramdas NairPhD in Machine Learning Accelerators, NeuRonICS Lab, DESE, Indian Institute of ScienceVerified email at iisc.ac.in
Hemanth SabbellaSingapore Management University [Earlier IISc-Bangalore & IIIT-Delhi]Verified email at smu.edu.sg
Vignesh RamanathanResearcher, Indian Institute of ScienceVerified email at iisc.ac.in
Sahil ShahUniversity of MarylandVerified email at umd.edu
Shankaranarayanan HDoctoral ResearcherVerified email at iisc.ac.in

Adithya Krishna

PhD student at International Centre for Neuromorphic Systems, Western Sydney University

Verified email at iisc.ac.in

Neuromorphic Engineering Stochastic Computing Computer Architecture Hardware for Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Biomimetic FPGA-based spatial navigation model with grid cells and place cells A Krishna, D Mittal, SG Virupaksha, AR Nair, R Narayanan, CS Thakur Neural Networks 139, 45-63, 2021	8	2021
Unlimited Dynamic Range Analog-to-Digital Conversion A Krishna, S Rudresh, V Shaw, HR Sabbella, CS Seelamantula, ... arXiv preprint arXiv:1911.09371, 2019	8	2019
FPGA Implementation of Particle Filters for Robotic Source Localization A Krishna, A van Schaik, CS Thakur IEEE Access 9, 98185-98203, 2021	7	2021
Source localization using particle filtering on FPGA for robotic navigation with imprecise binary measurement A Krishna, A van Schaik, CS Thakur arXiv preprint arXiv:2010.11911, 2020	7	2020
Raman: A re-configurable and sparse tinyML accelerator for inference on edge A Krishna, SR Nudurupati, DG Chandana, P Dwivedi, A van Schaik, ... IEEE Internet of Things Journal, 2024	4	2024
Implementation of fast independent component analysis on field‐programmable gate array for resolving the slot collision issue in the space‐based automatic identification system A Krishna, A Nimbal, A Makam, V Sambasiva Rao International Journal of Satellite Communications and Networking 38 (6), 480-498, 2020	3	2020
FPGA implementation of space-based AIS MA Adarsh, K Adithya, A Nimbal 2018 International Conference on Wireless Communications, Signal Processing …, 2018	3	2018
Bayesian source localization using stochastic computation A Krishna, CS Thakur 2021 IEEE International Symposium on Circuits and Systems (ISCAS), i-5, 2021	1	2021
Live Demonstration: Audio Inference using Neuromorphic Cochlea on RAMAN Accelerator A Krishna, HP Oleti, A Chauhan, H Shankaranarayanan, A van Schaik, ... 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-1, 2023		2023
A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces A Krishna, V Ramanathan, SS Yadav, S Shah, A van Schaik, ... 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-5, 2023		2023
SYSTEM AND METHOD FOR PROVIDING AND DESIGNING UNLIMITED DYNAMIC RANGE ANALOGUE-TO-DIGITAL CONVERSION CS Thakur, CS Seelamantula, S Rudresh, A Krishna, V Shaw WO Patent App. PCT/IB2019/060,062, 2019		2019
Development of CanSat S Kumar S, A Krishna, RS A B, S Rao INCOSE International Symposium 26 (s1), 291-301, 2016		2016

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