Keynotes

Keynotes

Title: Wireless Sensor Networks in the Age of Big Data Date: June 18, 2018 Speaker: Dr. Wendi Heinzelman Dean of the Hajim School of Engineering and Applied Sciences, Prof. of Department of Electrical and Computer Engineering, University of Rochester, New York, U.S.A. Abstract: Wireless sensor networks have and will continue to transform our every-day lives, from supporting personalized health care to enhanced environmental monitoring to enabling precision agriculture. With the plethora of applications and the advances in low-power and small devices, wireless sensor networks are able to produce data on a scale never before possible. Recent advances in data science and machine learning have enabled the analysis and application of this data to provide increased value. In this talk, I will look back at the evolution of wireless sensor networks as well as look to the future to see where this technology may take us and what research is needed to get us there, as well as how we can think about the integration with data science techniques. I will also address how, in this environment of ever-evolving technology, it is vital that we educate the next generation to not only learn the fundamentals but to also be creative, globally-minded, analytical thinkers who will meet the challenges we are yet to foresee.

Short Bio: Dr. Wendi Heinzelman is Dean of the Hajim School of Engineering and Applied Sciences and a Professor in the Department of Electrical and Computer Engineering at the University of Rochester. As dean of the Hajim School, Dr. Heinzelman oversees a variety of programs, departments, and institutes, including audio and music engineering, biomedical engineering, chemical engineering, computer science, data science, electrical and computer engineering, materials science, mechanical engineering, and optics. The Hajim School has an undergraduate student body of 1,845 students. The school has 95 tenured and tenure-track faculty members, 15 additional full-time faculty, 310 master’s students, 350 doctoral students, and more than 20,000 alumni.

Title: Automated Cars Must Fend for Themselves - or Do They? Date: June 19, 2018 Speaker: Dr. Marco Gruteser Peter D. Cherasia Faculty Scholar, Professor of Electrical and Computer Engineering, Rugters University New York, U.S.A. Abstract: Advanced driver assistance systems and automated vehicles promise to significantly improve the safety, efficiency, and comfort of road travel. The development of such systems has hitherto focused on a robotics-inspired approach, wherein each vehicle employs its own sensors to independently observe the vehicle's surroundings. The increasing high-bandwidth network connectivity to vehicles presents an opportunity to transfer rich data streams and collaboratively sense the driving environment. At timescales of months or years, sharing data allows vehicles to learn from and adapt to corner cases encountered by other vehicles. At timescales of hours, collaborative merging will provide vehicles with up-to-date rich 3D road maps. In real-time, sharing rich vehicle sensor data over high bandwidth vehicle-to-X communication links can give vehicles an expanded visual horizon. Drawing from sample research results, this talk will introduce a vision where vehicles harness such data sharing across diverse timescales to improve vehicle robustness, safety, and efficiency over a broad spectrum of possible traffic scenes and corner cases.

Short Bio: Marco Gruteser is the Peter D. Cherasia Faculty Scholar and Professor of Electrical and Computer Engineering at Rutgers University’s Wireless Information Network Laboratory (WINLAB). Dr. Gruteser directs research in mobile computing, pioneered location privacy techniques and has focused on connected vehicles challenges. He currently chairs ACM SIGMOBILE, has served as program co-chair for conferences including ACM MobiSys and as general co-chair for ACM MobiCom. He received his MS and PhD degrees from the University of Colorado in 2000 and 2004, respectively, and has held research and visiting positions at Google, the IBM T. J. Watson Research Center and Carnegie Mellon University. His recognitions include an NSF CAREER award, a Rutgers Board of Trustees Research Fellowship for Scholarly Excellence and six award papers, including best paper awards at ACM MobiCom 2012, ACM MobiCom 2011 and ACM MobiSys 2010. His work has been featured in the media, including NPR, the New York Times, the Wall Street Journal, and CNN TV. He is a senior member of the IEEE and an ACM Distinguished Scientist.