News

Professor Derya Malak has won the Best Paper Award at the 20th International Symposium on Modeling and Optimization in Mobile, Ad hoc, and Wireless Networks (WiOpt 2022). Malak, who is currently an assistant professor in the Communication Systems Department at EURECOM, was recognized for her solo-authored paper, “Throughput and Energy Tradeoffs for Retransmission-based Random Access Protocols.” The paper extends work on the fundamentals of massive Internet of Things uplink communications that Malak conducted during her Ph.D. and in collaboration with Howard Huang of Nokia Bell Labs.

WNCG researchers and alumni were selected as Best Paper Award Runners-up at this year’s ACM MobiHoc: International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing. WCNG postdoctoral fellow Daniel Vial’s paper, “Robust Multi-Agent Multi-Armed Bandits,” was one of the papers selected as a runner-up. Co-written by Sanjay Shakkottai and R. Srikant, this paper develops algorithms for online collaborative learning in a setting where malicious agents might inject false information into the learning system.

WNCG alumni were among the recipients of major paper awards from the Communications Society of the Institute of Electrical and Electronics Engineers (IEEE ComSoc). The awards were presented at the International Conference on Communications (IEEE ICC), which took place virtually last month.

WNCG students Marius Facktor and Abhinau Venkataramanan and WNCG alumnus Praful Gupta from Prof. Al Bovik’s Laboratory for Image & Video Engineering (LIVE) have been named Phase 2 winners in the Enhancing Computer Vision for Public Safety Challenge. The challenge is hosted by the Public Safety Communications Research Division of the National Institute of Standards and Technology. The competition aims to support public safety missions by advancing computer vision algorithms and no-reference (NR) metrics that assess image or video quality.

WNCG alumnus Rajiv Khanna and his colleagues Michal Derezinski and Michael W. Mahoney received the Best Paper Award at NeurIPS 2020. Their winning paper, “Improved Guarantees and a Multiple-Descent Curve for Column Subset Selection and the Nyström Method,” was presented in the conference’s Learning Theory track. The paper was one of three to receive the distinction for 2020. The award committee chose the winners in a two-stage selection process which considered the research’s impact, creativity, and “potential to endure,” along with its scientific and academic rigor.

WNCG student Yun Chen won Best Paper in the Wireless Networks track at the 2020 IEEE Wireless Communications and Networking Conference. Chen received the award for her paper “Efficient Drone Mobility Support Using Reinforcement Learning.”

The European Association for Signal Processing (EURASIP) has announced the winners of the 2020 Best Paper Awards. Two of the four winning papers were written by WNCG faculty members with their students and postdoctoral fellows.  EURASIP-sponsored journals each give their own award—either annually or biennially, depending on the number of papers published per year. A sub-committee for each journal evaluates the papers according to relevance, quality, style, and originality in order to select a winner.

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. 

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.

Texas ECE Professor Al Bovik’s neuroscience-based Visual Information Fidelity (VIF) picture quality measurement tool has been built into the core of Netflix’s quality system which controls the quality of every video streamed by Netflix to all customers world-wide. VIF is a full reference image quality assessment index that is based on natural scene statistics, and on a model of the type of image information that is extracted by the human visual system. It was developed by Prof.