EECS Team Earns Top 10 Finish in 2017 Mid-Central Regional ACM International Collegiate Programming Contest

Yiding Feng, Ruohong Zhang, & You Li

The WildWildCats, consisting of NU EECS Students  Yiding Feng  (2nd year PhD),  Ruohong Zhang  (5th year BS), and You Li  (2nd year PhD) have placed 9th out of 119 teams in the  2017 Mid-Central USA Programming Contest , held on Saturday, November 4, at the University of Chicago. 
The regional contest represents the geographic area of Missouri, Arkansas, Illinois (including the Greater Chicago Metropolitan Area in Indiana), Kentucky, and Tennessee.  
 
The team solved some very challenging algorithmic problems in a very high-pressure situation and faced some very stiff competition, including five teams from UIUC who trained with a world-class coach during a special one-credit course last Spring.
              
Andi Zang Wins Best Paper Award at AutonomousGIS 2017

 
Workshop Co-chair & Andi Zang

EECS PhD Student   Andi Zang   has won the Best Paper Award at the   1st ACM SIGSPATIAL Workshop on High-Precision Maps and Intelligent Applications for Autonomous Vehicles  (AutonomousGIS 2017), held Tuesday, November 7th in Redondo Beach, CA. His winning paper is entitled,   "Lane Boundary Extraction from Satellite Imagery", co-authored with EECS Masters Student   Runsheng Xu (Northwestern University), Zichen Li (New York University) and David Doria (HERE North America).
              
Pengfei Wang & Aleksandar Kuzmanovic's Research Featured in STATS Evaluation

 
STATS
 
EECS Visiting Ph.D. Student   Pengfei Wang and Prof. Aleksandar Kuzmanovic's  research was featured in a news article, titled, "Northwestern University Finds STATS Surpasses Competition in Synthesis of Speed and Accuracy", published Mon, 11/6, 2017 by STATS.
 
Wang is visiting Prof. Kuzmanovic's Northwestern Networks Group from Northeastern University in China. Their work is is an independent evaluation commissioned by STATS of data feed providers, titled,"What's the Score?: A First Look at Sports Data Feed Services."
              
Iman Hassani Nia Publishes Article in Scientific Reports

 
Iman Hassani Nia
 
EECS Postdoctoral Fellow   Iman Hassani Nia  has written a recent article for  Scientific Reports, titled,   "Characterization of the Optical Properties of Turbid Media by Supervised Learning of Scattering Patterns." 
  
In the article, published Friday, November 10, 2017, he   presents a simple non-invasive computational technique that, when coupled with experiments, has the potential for characterization of a wide range of biological tissues, such as cancer diagnosis, therapeutic applications, and drug efficacy tests.
              
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