Ayon Borthakur

About

I am an Assistant Professor at the Mehta Family School of Data Science and Artificial Intelligence, IIT Guwahati. Before that, I was an Assistant Professor in the Department of Artificial Intelligence at IIT Hyderabad. Previously, I worked at Innatera Nanosystems in the Netherlands as a Senior Neuromorphic Engineer-Machine Learning. At Innatera, I worked on marrying deep learning and analog computing towards ultra-low power and latency radar target recognition, which resulted in multiple patent applications. Before that, I completed my Ph.D. at Cornell University, USA. As part of my Ph.D., I worked on neuroscience-inspired Artificial Intelligence for learning in the wild, focusing on its implementation in neuromorphic chips such as Intel Loihi. My PhD work is part of an international patent sponsored by Cornell. I completed my Bachelor of Technology in Electrical Engineering from IIT Dhanbad.

Employment

• Indian Institute of Technology Guwahati Assistant Professor
  2023 - Present
• Indian Institute of Technology Hyderabad Assistant Professor
  2022 - 2023
• Innatera Nanosystems B.V. Senior Neuromorphic Engineer - Machine Learning
  2021 - 2022
• Indian Institute of Science Bangalore Research Assistant
  2013 - 2014

Education

• Cornell University PhD
  2014 - 2021
• Indian Institute of Technology (Indian School of Mines), Dhanbad B-Tech
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• Heterogeneous quantization regularizes spiking neural network activity
  Scientific Reports 2025 DOI: 10.1038/s41598-025-96223-z
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• Learning Using a Single Forward Pass
  Transactions on Machine Learning Research 2025
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• Neural Decision Tree for Bio-TinyML
  2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) 2024 DOI: 10.1109/biocas61083.2024.10798396
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• A Study on Tiny YOLO for Resource Constrained Xray Threat Detection
  2023 DOI: 10.1145/3639856.3639899
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• A neuromorphic algorithm for rapid continual learning
  Neuroscience, Washington DC, USA 2023
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• A study on bird sound processing using a biologically plausible neural architecture
  Complexity and Nonlinear Dynamics in STEM (CNLDS), Hyderabad, India 2023
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• Input regularization mechanisms of the olfactory bulb glomerular layer
  Neuroscience, Washington DC, USA 2023
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• Neuromorphic algorithm for rapid online learning and signal restoration
  2022
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• Method For Efficient Radar Pre-processing
  2022
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• Sapinet: A sparse event-based spatiotemporal oscillator for learning in the wild
  arXiv 2022 DOI: 10.48550/ARXIV.2204.06216
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