Séminaire distingués

Flexible Radios and Flexible Networks

Prof. Dr. Alyssa B. Apsel,
Cornell University

Institute of Microengineering - Distinguished Lecture

Campus Lausanne SV 1717 (live)
Campus Microcity MC B0 302 (video)
Zoom Live Stream: https://epfl.zoom.us/j/637254875

Abstract: Over the past decades the world has become increasingly connected, with communications driving both markets and social movements.  Low power electronics, efficient communications, and better battery technology have all contributed to this revolution, but the cost and power required for these systems must be pushed further to make cheap, ubiquitous, seamless communication accessible to a wider community.   In this talk I will discuss two engineering approaches to this problem.  I will look at various approaches to drive the power down in radio networks that span across circuits and systems.  I will also look at creative biologically inspired approaches to enabling very low power networks and IoT.  Finally, I will discuss how by adding flexibility and building reconfigurable hardware, we can likewise build lower power and less costly consumer systems that can adapt across protocols and networks and work under changing device technologies.

Bio: Alyssa Apsel received the B.S. from Swarthmore College in 1995 and the Ph.D. from Johns Hopkins University, Baltimore, MD, in 2002.  She joined Cornell University in 2002, where she is currently Director of Electrical and Computer Engineering.  She was a Visiting Professor at Imperial College, London from 2016-2018.  The focus of her research is on power-aware mixed signal circuits and design for highly scaled CMOS and modern electronic systems.  Her current research is on the leading edge of ultra-low power and flexible RF interfaces for IoT.  She has authored or coauthored over 100 refereed publications including one book in related fields of RF mixed signal circuit design, ultra-low power radio, interconnect design and planning, photonic integration, and process invariant circuit design techniques resulting in ten patents.  She received best paper awards at ASYNC 2006 and IEEE SiRF 2012, had a MICRO “Top Picks” paper in 2006, received a college teaching award in 2007, received the National Science Foundation CAREER Award in 2004, and was selected by Technology Review Magazine as one of the Top Young Innovators in 2004.  She is a Distinguished Lecturer of IEEE CAS for 2018-2019, and has also served on the Board of Governors of IEEE CAS (2014-2016) and as an Associate Editor of various journals including IEEE Transactions on Circuits and Systems I and II, and Transactions on VLSI.  She has also served as the chair of the Analog and Signal Processing Technical committee of ISCAS 2011, is on the Senior Editorial Board of JETCAS, as Deputy Editor in Chief of Circuits and Systems Magazine, and as the co-founder and Chair of ISCAS Late Breaking News.  In 2016, Dr. Apsel co-founded AlphaWave IP Corporation, a multi-national Silicon IP provider focused on multi-standard analog Silicon IP solutions for the world of IOT.  As Chief Technology Officer of AlphaWave, Dr. Apsel led the company’s global research capability with offices in Silicon Valley, Toronto, and London. 

Note: The Seminar Series is eligible for ECTS credits in the EDMI doctoral program.


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Merging Human-Machine Intelligence with Soft Materials Technology

Prof. Dr. Xuanhe Zhao,
Massachusetts Institute of Technology MIT


Institute of Microengineering - Distinguished Lecture

Campus Lausanne SV 1717 (live)
Campus Microcity MC B0 302 (video)
Zoom Live Stream: https://epfl.zoom.us/j/385971995

Abstract: Whereas human tissues and organs are mostly soft, wet and bioactive; machines are commonly hard, dry and biologically inert. Merging humans, machines and their intelligence is of imminent importance in addressing grand societal challenges in health, sustainability, security, education and joy of living. However, interfacing humans and machines is extremely challenging due to their fundamentally contradictory properties. At MIT Zhao Lab, we exploit soft materials technology to form long-term, high-efficacy, multi-modal interfaces and convergence between humans and machines.  In this talk, I will first discuss the mechanics to design extreme properties including tough, resilient, adhesive, strong, fatigue-resistant and conductive for hydrogels, which are ideal material candidates for human-machine interfaces. Then I will discuss a set of soft materials technology platforms, including i). bioadhesives for instant strong adhesion of diverse wet dynamic tissues and machines; ii). bioelectronics for long-term multi-modal neural interfaces; iii). biorobots for teleoperated and autonomous navigations and operations in previously inaccessible lesions such as in cerebral and coronary arteries. I will conclude the talk with a perspective on future human-machine convergence enabled by soft materials technology.


Bio: Xuanhe Zhao is an associate professor in mechanical engineering at MIT. The mission of Zhao Lab is to advance science and technology on the interfaces between humans and machines for addressing grand societal challenges in health, sustainability, security, education and joy of living. Dr. Zhao was a Clarivate Highly Cited Researcher in 2018. He received young investigator and early career awards from National Science Foundation, Office of Naval Research, Society of Engineering Science, Adhesion Society, American Vacuum Society, and Materials Today; best paper awards from Extreme Mechanics Letters and Journal of Applied Mechanics. He held chair professorships at MIT and previously at Duke University.

Note: The Seminar Series is eligible for ECTS credits in the EDMI doctoral program.


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Dr. Silvano De Franceschi - IMT Distinguished Lecture

Dr. Silvano De Franceschi
CEA-INAC


Institute of Microengineering - Distinguished Lecture

Campus Lausanne SV 1717 (live)
Campus Microcity MC B0 302 (video)
Zoom Live Stream: https://epfl.zoom.us/j/982557518

Abstract and Bio to follow.

Note: The Seminar Series is eligible for ECTS credits in the EDMI doctoral program


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