IEEE-ICEE 2020

5th International Conference on Emerging Electronics

Hosted by- Indian Institute of Technology Delhi, India

Tutorials
Tutorials: November 25th

Tutorial 1 : Neuromorphic Computing

"Sensors to Systems"

Date: November 25th

Neurobiological processing systems are remarkable computational devices. Their basic computing elements, the neurons, are slow, heterogeneous and stochastic in nature, and yet they outperform today's most powerful computers at real-world tasks such as vision, audition, and motor control. When compared with digital computers, the brain consumes much less power (~20W) and is highly adaptive. Neuromorphic engineering is an interdisciplinary approach to the design of information processing electronic systems that are inspired by the function, structural organisation, and physical foundations of biological neural systems. This tutorial will introduce to the neuromorphic computing paradigm including the neuromorphic sensors (mainly vision and audition) and the neuromorphic systems.


Who Can Attend?

1. Graduate students (ME/MTech/PhD), post-doctoral fellows, and faculty from academic/technical institutions.

2. Any professional working in scientific research or industry working in development and application of Neuromorphic Computing.



Dr. Chetan Singh Thakur

Assistant professor, Indian Institute of Science (IISc), Bangalore, India

Dr. Chetan Singh Thakur is an Assistant Professor at Indian Institute of Science (IISc), Bangalore, and has an Adjunct Faculty appointment at the International Center for Neuromorphic Systems, Western Sydney University (WSU), Australia. Dr. Chetan Singh Thakur (Senior Member, IEEE) received his Ph.D. in neuromorphic engineering at the MARCS Research Institute, Western Sydney University in 2016. He then worked as a research fellow at the Johns Hopkins University.