Tuesday 12pm, 5 March 2019


Widely Deployable Add-On Interactive Electronics for Internet of Everything (IoE) Applications

Muhammad Mustafa Hussain

Professor of Electrical Engineering - KAUST


Mustafa (PhD, ECE, UT Austin, Dec 2005) is currently a Visiting Professor of EECS, UC Berkeley. He is also a Professor of Electrical Engineering, KAUST. 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 350+ research papers and patents. His students are working in MIT Media Lab, Stanford, Caltech, UC Berkeley, Harvard, UCLA, Intel, TSMC, and DOW Chemicals. He is a Fellow of American Physical Society 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, Washington Post, WSJ, IEEE Spectrum, etc.) including being featured by Scientific American as one of the top 10 world changing ideas in 2014.


With emergence of Internet of Everything (IoE), we can definitely look forward to a future where individual electronic system will be ultra-thin and ultra-light weight, physically compliant to be deployed widely and low-cost to be affordable by billions. Another aspect, we can imagine where by integrating responsive material, we can add actuation to such IoT based sensory systems to make them interactive. This is a complex task specially optimally design these systems. Therefore, inspired by nature, we are redesigning conventional CMOS electronics into physically flexible-stretchable-reconfigurable-spherical electronic system 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 CMOS electronic system. We also integrate responsive materials and microfluidics focusing on (as examples) personalized medicinal platform and safe and secured data system. Additionally, we are gradually using machine learning to incorporate AI into these electronic systems to make them interactive possibly without any human intervention. Multidisciplinary nature of these tasks are equally challenging and fascinating. In this talk, some applications with demos will be presented to offer potential bridging opportunities between futuristic electronics and computer science.