Augmented Interfaces Using Ubiquitous AI
13th April 2021
Timing : 1 pm EDT
For zoom link to the talks, please email mjgc@mit.edu with your institute email and mention affiliation
For a list of all talks at the NanoBio seminar Series Spring'21, see here
Electronics technology has enabled an era of computation-communication-infotainment. Going forward, by redesigning such high performance electronics can be used for soft-interfacing with biology. Specifically with the emergence of Internet of Everything, where people-process-device-data will be seamlessly connected, we are eager to know how nature works, how we can mimic them, how we can interface them more and more importantly how we can augment the quality of our life?
To address these important questions, inspired by nature, we are redesigning conventional CMOS electronics into physically fully compliant electronics to redefine their purposes. We integrate heterogeneous materials (classical crystalline and novel 1D/2D) and processes (state-of-the-art CMOS technology and emerging processes) through robust manufacturable processes to develop physically flexible, stretchable and reconfigurable standalone biocompatible CMOS electronic system. We are gradually using machine learning to incorporate AI and robotics into these electronic eco systems to make them interactive – without any human interface. Two such examples will be detailed: one of them is marine skin – an ultra-light weight (2.5 grams with 36 cm2 size) standalone biocompatible wearable which can monitor marine environment for up to 1 year at a depth of 2 km; the other example will demonstrate butterfly like sensors which can be used for plant growth monitoring and they are deployed through AI enabled UAVs but without any human intervention.
Muhammad Mustafa Hussain
Professor, EECS
University of California Berkeley
Mustafa (PhD, ECE, UT Austin, Dec 2005) is a Professor of EECS, UC Berkeley. He was a Founding Professor of Electrical and Computer Engineering, KAUST from 2009 to 2020. He was Program Manager in SEMATECH (2008-2009) and Process Integration Lead for 22 nm node FinFET CMOS in Texas Instruments (2006-2008). His research is focused on futuristic electronics which has received support from DARPA, Boeing, Lockheed Martin, GSK-Novartis, Saudi ARAMCO and SABIC. He has authored 450+ research papers and patents. He is a Fellow of IEEE, American Physical Society (APS) and Institute of Physics (UK), a distinguished lecturer of IEEE Electron Devices Society, and an Editor of IEEE T-ED. His research has been extensively highlighted by international media (CNN, Fox News, MSNBC, Washington Post, WSJ, National Geographic, Forbes, IEEE Spectrum, etc.) including being featured by Scientific American as one of the top 10 world changing ideas in 2014. He has received more than 45 international awards including Best Innovation Award in CES 2020, Edison Award 2020, UT Austin Outstanding Young Alumni Award 2015, IEEE Outstanding Individual Achievement Award 2016, etc.