News

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WNCG Student Joshua Ebenezer Wins Nilanjan Ganguly Memorial Award

Nov. 15, 2019
First-year graduate student Joshua Ebenezer has received the Nilanjan Ganguly Memorial Award for his undergraduate thesis on haze- and fog-affected images and videos. The award designates the “best B.Tech thesis in the Electronics & Electrical Communication Engineering Department” at IIT Khargapur and is given annually to a single student. The award also includes a cash prize for the recipient from the Ganguly family. 
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WNCG Alumnus Leads Teams to Top Spots at International Competition

June 12, 2019
WNCG Alumnus Vishal Monga has led two teams of researchers to success at the New Trends in Image Restoration and Enhancement (NTIRE) worldwide competition. Monga received his Ph.D.EE from Texas ECE in 2005, advised by Prof. Brian L. Evans at WNCG. He now runs the Information Processing & Algorithms Laboratory at Penn State’s College of Engineering and holds the title of Associate Professor in the Department of Electrical Engineering and Computer Science.
At&t ericson demonstration for the texas summit wireless.

AT&T and Ericsson World Debut 5G Tech at UT

Nov. 30, 2016
Millimeter wave is an essential and fundamental component for 5G mobile networks and AT&T’s plans. The 5G demo at TWS showcased the possibility and feasibility of millimeter wave radio access technology for the cellular networks of the future. Developed by Ericsson, the new systems incorporated key 5G technologies, including large system bandwidth, phased arrays with ultra-fast beam steering, feedback-based hybrid precoding, multi-user Multiple Input Multiple Output (MIMO), dynamic beam tracking and beam acquisition.
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WNCG Student wins Top 10% Paper Award from IEEE

July 17, 2015
WNCG student Debarati Kundu and her advisor, Prof. Brian Evans, have been selected for a top 10% paper award for the IEEE International Conference on Image Processing 2015. The conference will take place in Quebec City, Canada in September. The paper "Full-Reference Visual Quality Assessment for Synthetic Images: A Subjective Study" deals with conducting a series of subjective experiments to aid in better understanding how humans perceive synthetic images encountered in computer graphics.