Giovanni De Micheli
Distributed data acquisition and control systems for health care are playing an important in prevention and cure. Examples include remote patient monitoring, emergency care as well as routine care and they benefit from organized and optimized means to quantify clinical data, handle large data sets as well as controlling and personalizing therapy and drug administration. Current electronic devices and systems incorporate bio-chemical interfaces, such as sensors, to perform data acquisition directly. The fusion of sensing and microelectronic technologies, as well as the ability of volume production of integrated sensing systems that can be personalized in the very back end of the line or after fabrication is an important scientific and commercial goal. Electronic design automation is a key technology to realize cyber-medical systems. Examples of specific EDA tools and methods encompass physical design of integrated sensors and their coupling to electronics, simulation of complex systems with bio-chemical stimuli, synthesis of decision making circuitry based on plurality of inexact inputs, policies design for therapies exploiting on-line data acquisition, and verification of life-critical applications under broadly-varying and unpredictable input conditions. Overall, cyber-medical systems represent an important and large market opportunity as well as a chance to realize the promises of better and less expensive care for everyone.
Giovanni De Micheli is Professor and Director of the Institute of Electrical Engineering and of the Integrated Systems Centre at EPF Lausanne, Switzerland. He is program leader of the Nano-Tera.ch program. Previously, he was Professor of Electrical Engineering at Stanford University.He holds a Nuclear Engineer degree (Politecnico di Milano, 1979), a M.S. and a Ph.D. degree in Electrical Engineering and Computer Science (University of California at Berkeley, 1980 and 1983). Prof. De Micheli is a Fellow of ACM and IEEE, a member of the Academia Europaea and an International Honorary member of the American Academy of Arts and Sciences. His research interests include several aspects of design technologies for integrated circuits and systems, such as synthesis for emerging technologies, networks on chips and 3D integration. He is also interested in heterogeneous platform design including electrical components and biosensors, as well as in data processing of biomedical information. He is author of: Synthesis and Optimization of Digital Circuits, McGraw-Hill, 1994, co-author and/or co-editor of eight other books and of over 800 technical articles. His citation h-index is 93 according to Google Scholar. He is member of the Scientific Advisory Board of IMEC (Leuven, B), CfAED (Dresden, D) and STMicroelectronics.
Prof. De Micheli is the recipient of the 2016 IEEE/CS Harry Goode award for seminal contributions to design and design tools of Networks on Chips, the 2016 EDAA Lifetime Achievement Award, the 2012 IEEE/CAS Mac Van Valkenburg award for contributions to theory, practice and experimentation in design methods and tools and the 2003 IEEE Emanuel Piore Award for contributions to computer-aided synthesis of digital systems. He received also the Golden Jubilee Medal for outstanding contributions to the IEEE CAS Society in 2000, the D. Pederson Award for the best paper on the IEEE Transactions on CAD/ICAS in 1987, and several Best Paper Awards, including DAC (1983 and 1993), DATE (2005), Nanoarch (2010 and 2012) and Mobihealth(2016).
He has been serving IEEE in several capacities, namely: Division 1 Director (2008-9), co-founder and President Elect of the IEEE Council on EDA (2005-7), President of the IEEE CAS Society (2003), Editor in Chief of the IEEE Transactions on CAD/ICAS (1997-2001). He has been Chair of several conferences, including Memocode (2014) DATE (2010), pHealth (2006), VLSI SOC (2006), DAC (2000) and ICCD (1989).
- Web page: http://si2.epfl.ch/~demichel/
- Date: Monday, 8 October 2018
University of Michigan, USA
In the past 50 years, silicon dimensional scaling has been delivering the lion's share of advancement and economy of scale in computing. Unfortunately, this source of value is quickly drying out, highlighting the urgent need to provide novel approaches to accelerate innovation in computer design. In this talk, I outline three research domains that promise to provide effective alternatives to the once-plentiful benefits of silicon dimensional scaling. First, we now have the opportunity to move beyond silicon dimensional scaling and explore new silicon structures that boost system value in alternate ways. Second, we need to fully embrace specialized heterogeneous design, tailoring systems to application domains, thus leading to orders-of-magnitude performance and value benefits. Finally, and perhaps most importantly, we must break the cycle of ever-increasing design costs and diminishing innovation. By embracing novel low-cost and agile design technologies, we can engage a broader community of engineers in accelerating innovation in computing system design.
Valeria Bertacco is Arthur F. Thurnau Professor of Electrical Engineering and Computer Science and Associate Dean for Physical Sciences and Engineering in the Rackham Graduate School at the University of Michigan. She is also an Adjunct Professor of Computer Engineering at the Addis Ababa Institute of Technology. Her research interests are in the area of computer design, with emphasis on specialized architecture solutions and design viability. She joined the University of Michigan in 2003, after working with the Advanced Technology Group of Synopsys, which she joined via the acquisition of Systems Science Inc.
Valeria is also the Director of the "Applications Driving Architectures" (ADA) Center, a research center sponsored by DARPA and SRC, a consortium of semiconductor companies. The ADA Center leads research efforts in developing the computing systems and system design solutions for the next decade, and it engages 18 faculty and over 60 graduate students from top US universities.
She received her M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 1998 and 2003; and a Computer Engineering degree ("Dottore in Ingegneria") summa cum laude from the University of Padova, Italy in 1995. Valeria is the recipient of the IEEE CEDA Early Career Award, NSF CAREER award, the Air Force Office of Scientific Research's Young Investigator award and the IBM Faculty Award. Valeria is an ACM Distinguished Scientist and an IEEE Fellow.
- Web page: https://web.eecs.umich.edu/~valeria/
- Date: TBD
Technische Universitat Darmstadt, Germany
Design automation in synthetic biology is hampered by insufficient accuracy of computational models of synthetic circuits. More specifically, traditional models ignore the molecular context of the host cell that interacts with a synthetic circuit in numerous ways. For instance, transcription factors of the circuit may get tethered away by unspecific binding sites on the host DNA. Hence, in order to finally realize a predictive in-silico design framework, as done in electronic design automation, computational models need to account for all context effects encountered by the circuits. In this talk I will provide an overview of different context effects and our formal attempts to accommodate some of them in computational models. In particular, we derive a stand-alone equivalent model of a circuit that behave as if the circuit is still embedded in the host cell. Such contextualized models also lead to new calibration algorithms on which I will briefly touch upon.
Heinz got his MSc in physics and his PhD in electrical engineering from Graz University of Technology, Austria. After postdoc positions at UC Berkeley and EPFL, he was appointed at ETH Zurich as an assistant professorship in 2010. In 2013 he additionally led the systems biology efforts at IBM Research Zurich. Since 2014, Heinz is full professor at the department of electrical engineering and at the department of biology of Technische Universitat Darmstadt, Germany. He received the Schrodinger fellowship (2005), the SNF professorship (2009), the IBM faculty award (2014) and an ERC consolidator grant (2017). He is interested in probabilistic models for biomolecular circuits and their inference using single-cell measurements.
- Web page: http://www.bcs.tu-darmstadt.de/biocomm/people_1/professor/heinzkoeppl.en.jsp
- Date: TBD
Info will be posted. (TBA)
Info will be posted. (TBA)