Prof. Mung Chiang, EE postdoctoral research associate Soumya Sen, Grad Student Carlee Joe-Wong and Tian Lan *10 received the 2012 IEEE INFOCOM Best Paper Award for their paper "Multi-resource allocation: Fairness-efficiency tradeoff in a unifying framework." INFOCOM is IEEE's flagship conference in networking. Sixteen papers were selected as finalists from over 1500 submissions and one paper selected as the winner of the best paper award.
Archive – March 2012
EE Postdoc Laura Waller, a member of Prof. Jason Fleischer's group, is the recipient of the 2012 Outstanding Young Professionals Award by The Optical Society (OSA). Waller has been an active member in OSA. In addition to being the president of the Massachusetts Institute of Technology OSA Student Chapter, she has reviewed several OSA journals, founded an annual optics outreach event as part of the Cambridge Science Festival and served as part of Adopt a Physicist program to promote science to
Team of EE and CE faculty have won first place at 7th Annual Innovation Forum organized by the Princeton’s Keller Center for Innovation in Engineering Education. The technology for which they received this award are sensing sheets for high-resolution structural health monitoring over large structures. These nanotechnology sensing sheets which could be applied “like wallpaper” may one day provide high-resolution monitoring of large structures such as bridges or pipelines to reveal problem
Grad Student Warren S. Rieutort-Louis is the recipient of the IBM Ph.D. Fellowship Award. His research at Princeton involves an interdisciplinary collaboration where he is designing and analyzing hybrid systems that leverage the strengths of conventional, high-performance integrated circuits with a technology called large-area electronics.
Prof. Gerard Wysocki and Postdoctoral Research Associate Michal Nikodem have been awarded second place in the 7th Innovation Forum organized by the Princeton’s Keller Center for Innovation in Engineering Education. The technology is based on Chirped Laser Dispersion Spectroscopy, or CLaDS, a method for increased speed and sensitivity in detection of potentially harmful industrial gas emissions and atmospheric greenhouse gases.