ECE Research Day

The annual ECE Research Day will be held on Friday, December 6, from 11 am - 1 pm in the Richard Weeks Hall of  Engineering 4th floor hallway. The event will be attended by faculty, members of industry, alumni and students. This event is a great opportunity to present your research projects, share your creative ideas, and network with your peers.

WINLAB Researchers win Best Paper Award at the 2019 IEEE Wireless Communications and Networking Conference

Professor Wade Trappe and Research Scientist Andrey Garnaev have won the Best Paper Award at the 2019 IEEE Wireless Communications and Networking Conference (IEEE WCNC) for their paper, "An Eavesdropping and Jamming Dilemma when the Adversary might be Subjective." IEEE WCNC is the world premier wireless event that brings together industry professionals, academics, and individuals from government agencies and other institutions to exchange information and ideas on the advancement of wireless communications and networking technology.
 
The abstract for the award winning paper is below.
 
Wireless networks are susceptible to malicious attacks, especially those involving jamming and eavesdropping. To maintain secure and reliable communication under such threats, different anti-adversary strategies have been proposed to mitigate the adversary impact. In this paper, we consider a sophisticated adversary with the dual capability of either eavesdropping passively or jamming any ongoing transmission, and investigate a new aspect to consider when designing an anti adversary strategy: how uncertainty about whether the rival is rational or subjective could impact the strategies. To model such uncertainty, we formulate a Bayesian Prospect Theory (BPT) extension of the game between a user and an adversary who chooses between an eavesdropping attack and a jamming attack against the user. Meanwhile the user chooses against which of the threats to apply the corresponding best response strategy. Uniqueness of the BPT equilibrium strategies is proven and they are found in closed form. 
 
Congratulations to Wade and Andrey on this recognition!

Dario Pompili named ACM Distinguished Member

Associate Professor Dario Pompili has been selected for the honor of  2019 ACM Distinguished Member for “Outstanding Scientific Contributions to Computing.”
 
The Association for Computing Machinery (ACM) has named 62 Distinguished Members for outstanding contributions to the field. All 2019 inductees are longstanding ACM members and were selected by their peers for a range of accomplishments that have contributed to technologies that underpin how we live, work and play. 
 
The ACM Distinguished Member program recognizes up to 10 percent of ACM worldwide membership based on professional experience as well as significant achievements in the computing field. To be nominated, a candidate must have at least 15 years of professional experience in the computing field, 5 years of continuous professional ACM membership, and have achieved a significant level of accomplishment, or made a significant impact in the field of computing, computer science and/or information technology. In addition, it is expected that a Distinguished Member serves as a mentor and role model, guiding technical career development and contributing to the field beyond the norm.
 
You can read the ACM news release here.
 
Congratulations to Dario on this recognition of outstanding professional achievement.

ECE Researchers win Best Paper Award at the 2019 ACM International Conference on Underwater Networks & Systems

Associate Professor Dario Pompili and ECE Ph.D. students Zhuoran Qi and Xueyuan Zhao have won the Best Paper Award at the 2019 ACM International Conference on Underwater Networks & Systems (ACM WUWNet), which was held in Atlanta, GA for their paper titled "Range-extending Optical Transceiver Structure for Underwater Vehicles and Robotics."

WUWNet is a premier venue for sharing state-of-the-art research and development of underwater networks and systems, bringing together leading scientists, engineers, and entrepreneurs from a broad range of backgrounds relevant to underwater sensing, communications, networking, robotics, systems, and applications. The winners were presented with an award certificate and a USD 300 prize.

The abstract of the award winning paper is below.

Abstract: An underwater optical communication link provides high-speed data transfer between water surface buoys/ships and underwater vehicles for robotics applications. However, currently such optical links are severely limited by the coverage range due to the high attenuation of light in the water environment as well as by the scattering problem. A new optical transceiver structure is proposed to significantly extend the coverage range by several folds, targeting to solve this coverage bottleneck problem for high-speed data transfer. The proposal is a new optical transceiver structure with hybrid nonlinear pulse position modulation and time-frequency spreading. This new scheme is able to boost the range coverage by several folds, and was verified via thorough bit-level computer simulations using realistic models tailored for the optical channel propagation environments. The proposed structure can be integrated into the existing underwater vehicles and robots to enable the next-generation range-extended and high-speed optical links for oceanic explorations.

Congratulations to Dario, Zhuoran and Xueyuan on this recognition!

Alumnus Dorin Comaniciu Elected to National Academy of Medicine

ECE Alumnus Dorin Comaniciu, PhD, recognized by the National Academy of Medicine (NAM) for leading-edge achievements in artificial intelligence and advanced visualization

Since earning his doctoral degree from the Department  Electrical and Computer Engineering in 2000, Dorin Comaniciu has received numerous awards, including the School of Engineering’s 2016 Medal of Excellence for Distinguished Achievement in Research. Comaniciu, who is senior vice president of artificial intelligence and digital innovation at Siemens Healthineers, was recently elected to the National Academy of Medicine (NAM) in recognition of his seminal achievements in artificial intelligence and advance visualization.

As an independent organization of distinguished professionals from fields such as health and medicine and the natural, social, and behavioral sciences, NAM works to address critical issues in health, medicine, and related policy through national and international initiatives.

“We congratulate Dorin Comaniciu on this tremendous honor,” says Department of Electrical and Computer Engineering Chair and Distinguished Professor Narayan Mandayam. “Election to NAM is a prestigious acknowledgement of his leadership and many contributions resulting in numerous new clinical products for improving the quality of healthcare in the fields of diagnostic imaging, image-guided therapy, and precision medicine.”

Comaniciu, who holds 269 U.S. healthcare technology patents and has co-authored 350 peer review publications, is also the recipient of the 2004 Siemens Inventor of the Year Award; the 2010 IEEE Longuet-Higgins Prize for fundamental contributions to computer vision; and the 2011, 2013, and 2015 Thomas Alva Edison Award for patents on 3D heart modeling, anatomical object detection, and personalized valve therapy. He is a Fellow of the IEEE, the Medical Image Computing and Computer Assisted Intervention Society, and the American Institute for Medical and Biological Engineering.

“The National Academy of Medicine is committed to transforming the delivery of patient care and improving the patient experience,” says Comaniciu, who is a proud Rutgers alumnus. “I am deeply honored to be singled out by my peers for membership in this august organization.”

Colloquium - Yuanyuan Yang, NSF and SUNY Stony Brook

Abstract: This talk presents an emerging pervasive edge computing paradigm where heterogeneous edge devices (e.g., smartphones, tablets, IoT and vehicles) can collaborate to sense, process data and create many novel applications at network edge. We propose a data centric design where data become self-sufficient entities that are stored, referenced independently from their producers. This enables us to design efficient and robust data discovery, retrieval and caching mechanisms.

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