About this Video
Have you ever wondered if you could enhance your brain? Deblina develops electronic devices which are hundred thousand times smaller than the thickness of your hair and consume a minuscule amount of power. These devices can boost the performance of your computers and in future, could even augment your brain!
Deblina Sarkar is a neuro-technologist and nano electronics researcher. She is currently a postdoctoral associate at Massachusetts Institute of Technology (MIT). Her research aims to bridge the gap between nanotechnology and synthetic biology to create a new paradigm for computational electronics and invent disruptive technologies for neuroscience. She invented the world’s thinnest channel transistor which overcomes the fundamental thermal limitations and leads to record power-reduction and beyond-Silicon scalability. Her doctoral dissertation has been honored as one of the top 3 dissertations throughout USA and Canada in the fields of Mathematics, Physical Sciences and Engineering. More at https://deblina-sarkar.mit.edu/
About the Speaker
Deblina Sarkar is currently a postdoctoral researcher in the Synthetic Neurobiology group at MIT. Her research aims to bridge the gap between nanotechnology and synthetic biology to create a new paradigm for computational electronics and invent disruptive technologies for neuroscience.
Her doctoral research addressed the long standing power crisis of Information Technology, for which she received the Lancaster Award for the best PhD Dissertation in the field of Mathematics, Physical Sciences and Engineering at UCSB. She is the recipient of numerous other awards and recognitions, including being one of three researchers worldwide to win the prestigious IEEE EDS PhD Fellowship Award (2011), a “Bright Mind” invited speaker at the KAUST-NSF conference (2015), one of three winners of the Falling Walls Lab Young Innovator’s competition at San Diego (2015), recipient of “Materials Research Society’s Graduate Student Award” (2015) and has been named a “Rising Star” in Electrical Engineering and Computer Science (2015).