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MSU CSE Colloquium Series 2014-2015: Prabal Dutta Title:  From Pervasive to Perpetual Computing: Realizing the Next Computing Class

Dr. Prabal Dutta
Department of Electrical Engineering and Computer Science
University of Michigan

Time: Friday, Oct 17th, 2014, 11am
Location: EB 3105


This talk will present our work on scaling the platforms and protocols for pervasive and perpetual computing at scale, from milliwatt mobile sensors to microwatt motes to nanowatt smart dust, enabling multi-scale sensing of people, places, and things.  We will begin by seeing how it is possible to hijack power and bandwidth from the mobile phone's audio interface to create a new class of disruptive, phone-centric peripherals.  Looking ahead, we will discuss how the next tier of computing – pervasive, wireless, networked, energy-harvesting sensors with ever-decreasing dimensions, from cubic-cm to cubic-mm – will lead to perpetual monitoring of the built and natural environments.  Our work at the cm-scale has shown the viability of wireless nodes built from commercial off-the-shelf components to operate from ambient indoor light levels (~5 uW) and deliver sensor readings wirelessly to already existing battery-powered sensor networks, thus extending their reach while achieving 25-50x lower power per sense point.  At the mm-scale, we are creating a modular, stacked-die architecture to realize the decades-old vision of smart dust, with a fully self-contained wireless sensor system operating on ultralow power budgets (~10 nW).  The common thread in this work is that scaling sensors presents challenges at every level of the system, including multi-tier network architecture, power supply design and interface, timers, communications primitives, discovery protocols, and system software.  Taking a quantitative and systems-oriented approach, this talk will highlight some of the key system architecture challenges and our solutions to them.


Prabal Dutta is an Assistant Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor.  He researches the circuits, systems, and software necessary to realize pervasive sensing, computing, and communications at scale and in the service of society.  His work has yielded dozens of hardware and software systems, has won four best paper awards and several design awards, has been directly commercialized by a dozen companies (and indirectly by dozens more), and has been utilized by thousands of researchers and practitioners worldwide.  His work has been recognized with an NSF CAREER Award, an Intel Early Career Award, and a Popular Science Brilliant Ten Award.  He holds a B.S. in Electrical and Computer Engineering and an M.S. in Electrical Engineering, both from The Ohio State University, and a Ph.D. in Computer Science from the University of California, Berkeley.


Dr. Guoliang Xing