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May 3-5, 2018
hosted by Oakland University
Rochester, Michigan, USA


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Keynote Speakers

Opening Keynote Speaker
Thursday, May 3, 2018
2:00 PM

Prof. Hojjat Adeli
The Ohio State University

Hojjat Adeli received his Ph.D. from Stanford University in 1976 at the age of 26. He is currently an Academy Professor at The Ohio State University. He has authored over 600 research and scientific publications in various fields of computer science, engineering, applied mathematics, and medicine, including 16 high-technology books, and holds a United States patent in the area of design optimization. He is the Founder and Editor-in-Chief of the international research journals Computer-Aided Civil and Infrastructure Engineering and Integrated Computer-Aided Engineering. He is also the Editor-in-Chief of International Journal of Neural Systems. He is the recipient of 55 awards and honors including an Honorary Doctorate. He is a corresponding member of the Spanish Royal Academy of Engineering, a foreign member of Lithuanian Academy of Sciences and Polish Academy of Science, and a Fellow of AAAS, IEEE, AIMBE, and American Neurological Association.

On Machine Learning and Classification Algorithms

Welcome Reception Buffet
Thursday, May 3, 2018
6:00 PM

Mrs. Dona Burkard
Ford Motor Company

Dona Burkard has twenty-seven years in the automotive industry with expertise in embedded software for product applications, diagnostics, manufacturing and advance research. She is currently a manager in the Ford Research and Innovation Center in Dearborn, Michigan, leading the future software and compute architecture designs for 202x vehicles. Dona is the chair of the National Science Foundation Center of Embedded Systems Industry Advisory Board, and serves on the industry advisory board for Oakland University's Electrical and Computer Engineering Department. She has a M.S. in Engineering Management and a B.S. in Computer Engineering from Oakland University.


Keynote Speaker
Friday, May 4, 2018
8:30 AM

Dr. Advait Madhavan
NIST Center for Nanoscale Science and Technology


Advait Madhavan received his PhD in 2016 from the Electrical and Computer Engineering Department at UC Santa Barbara. His research interests are focused on novel methods for information processing, ranging from conceptualization of high-level architectures, analog and digital circuit design as well as integration with emerging technologies and chip design. He was awarded the Micro Top Pick award in 2015. He is currently a Post-Doctoral Researcher at National Institute of Standards and Technology, Gaithersburg.

Brains, Memristors and Race Logic: A new logic for energy efficient computation

Powered by technology scaling, computing has seen a steady exponential growth in performance for almost half a century. We have grown so accustomed to computing becoming faster, cheaper, and more energy efficient, we simply assume that it will continue. Unfortunately, with Dennard scaling coming to an end, computer architects are being forced to look for inventive ways to maintain the performance gains of yesteryear, without an exponentially larger number of transistors, as well as, within a fixed energy budget.

In this talk, I will present a new kind of logic, called Race Logic, that attempts to improve both the performance and energy efficiency for certain classes of problems. Race Logic is inspired by the seemingly temporal representation of information in the brain and hence departs from the standard digital abstraction for representing information as strict 1's and 0's. Changing the information representation affects fundamental primitives of computation, the architectures that emerge from it and the novel technologies(such as resistive switches) that are synergistic with it. I will present two such architectures that benefit from Race Logic implementations and will end with results from simulations and fabricated chips that compare favorably with the state of the art.


Lunch Speaker
Friday, May 4, 2018
11:45 AM

Mr. Dave Robins
President, Intrepid Control Systems


The Automotive CPU age has passed

This talk will be about the increasing data rates and sensors on modern vehicles and how a CPU doesn't measure up anymore. I will talk at a high level about FPGA and GPUs


Awards Banquet Speaker
Friday, May 4, 2018
6:00 PM

Prof. Mark Steffka
IEEE EMC Society Distinguished Lecturer


Professor Mark A. Steffka, has a B.S.E. – E.E., from the University of Michigan - Dearborn, and a M.S. from Indiana Wesleyan University. He has held academic appointments since 2000 as a Lecturer with the Electrical and Computer Engineering department at the University of Michigan - Dearborn, and since 2006 as an Adjunct Professor at the University of Detroit – Mercy. His university responsibilities include teaching undergraduate, graduate, and professional development courses on electrical/electronic circuit design, electromagnetic compatibility (EMC), antennas, and electronic communication systems. He is an IEEE Senior Member, a member of SAE International, and has had numerous leadership roles both within IEEE and SAE. In 2010 he was selected as an IEEE EMC Society Distinguished Lecturer, and in 2016 he was the recipient of the IEEE "Laurence G. Cumming Award" (the EMC society's highest distinction).

Mr. Steffka also has over 35 years of full time industry experience with military HF/VHF/UHF secure communications, spacecraft instrumentation, automotive electrical/electronics, and industrial electronics. Currently he is at the General Motors Global Technical Center and is a technical leader for the vehicle antennas group. Prior to this role, he was a Global Team Leader – EMC Technical Specialist with General Motors Global Propulsion Systems.

His patents include methods for electromagnetic interference reduction methods, as well as aircraft and ground vehicle antenna systems. Professor Steffka is the co-author of the book "Automotive Electromagnetic Compatibility" (2004), is the author (or co-author) of numerous technical papers presented at IEEE and SAE conference/symposiums (both as a technical session participant or invited speaker).


Keynote Speaker
Saturday, May 5, 2018
8:30 AM

Prof. Madjid Fathi
University of Siegen, Germany


Knowledge-Based Perspective on Big Data-Driven Smart City Developments

The trends of urbanization and intelligent networking of different devices are leading to significant changes in our cities. A city in its complex form is an organization that is constantly in a dynamic movement due to changes in population, technologies, environmental influences or new legal regulations. Smart cities need intelligent, multi-dimensional big data analysis to support the city administration, integration and information of citizens, but also for urban planning based on recognized trends. Knowledge-based approaches using big data infrastructures enable the continuous evaluation of key indicators and target conditions of water and air quality, resource management, traffic analysis, disaster prevention and prediction, but also decision support at various levels. This talk will focus on current smart city research, knowledge management and the intelligent use of big data as a background and best practice for storing, disseminating, accessing and using the right information in the right place at the right time.