Ultra-low power 2D materials-based devices for classical and neuromorphic computing
This is a technical talk organized by IEEE Sensors Kolkata-Guwahati Chapter at IIT Guwahati.
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Dr. Shubhadeep Bhattacharjee of Indian Institute of Technology, Hyderabad
Ultra-low power 2D materials-based devices for classical and neuromorphic computing
The exponentially rising computational energy needs of a data-hungry society endanger environmental sustainability. We shall discuss how the unique physical and electronic properties of two-dimensional materials can be leveraged to create ultra-low power classical and neuromorphic devices for next-generation computing paradigms.
Biography:
Shubhadeep Bhattacharjee is working as an Assistant Professor at Electrical Engineering, Indian Institute of Technology, Hyderabad since Dec 2021. He graduated from BITS Pilani [B.E. (Hons.), EEE] in 2011 followed by a 3-year industrial position at ST Microelectronics in the design of FDSOI technology-based SoCs (2011-14). Shubhadeep was a Visvesvaraya Ph.D. fellow at CeNSE, IISc Bangalore (2014-18) where he worked on sub-thermionic 2D transistors where he was awarded the Institute gold medal for best Ph.D. thesis. Post Ph.D., he worked as a research scientist (post doc) with Intel labs at Tyndall National Institute towards the exploration of neuromorphic devices on 2D materials [2018-19]. Next, he moved to the University of Manchester to explore emergent quantum devices based on 2D moire superlattices [2019-21]. His research interests are in the development of electronic devices for the next generation of low-power computing.
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Address:Electrical Engineering, IIT Hyderabad, Hyderabad, India