Rutgers Day 2022

 

SAVE THE DATE

Rutgers Day 2022 will take place on Saturday, April 30, 10:00 a.m. - 4:00 p.m. on the Busch Campus in Piscataway and the College Avenue and Cook/Douglass campuses in New Brunswick. We look forward to welcoming you back to campus.

ECE Capstone Reunion

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Join fellow alumni from the classes of 2016 to 2021, faculty, staff, and industry partners for the first annual ECE Capstone Reunion. Catch up on careers and family, meet some of this academic year's amazing students and hear departmental updates — amid the beautiful New York City skyline.

Date: Thursday, April 7, 2022

Time: 6:00pm to 9pm

Location: Battello

 

Paul Panayotatos Scholarship for Sustainable Energy and related fields now accepting applications

Graduate students pursuing an advanced degree in Electrical and Computer Engineering in the area of sustainable energy, including renewable energy, energy efficiency, energy conversion or related areas are invited to submit an application for the Paul Panayotatos Endowed Scholarship.  Awards up to $5,000 will provide summer research support under the supervision of a research advisor.
 
Applicants must submit by February 28, 2022:
• A brief summary of the research to be pursued and its impact on
sustainable energy or a related area
• A letter of recommendation from the researcher advisor
• A recent transcript
 
Awards are expected to be announced no later than mid-March 2022.
 
Applications should be uploaded onto the following website:
 
 
 
 
Applicants will receive an e-mail that their application has been received.
 

Welcome Shirin Jalali

Shirin Jalali has joined the ECE Department as an Assistant Professor. She received her M.Sc in Statistics and Ph.D. in Electrical Engineering from Stanford University. Prior joining Rutgers, she worked as a research scientist at AI Lab at Nokia Bell Labs. Her interestes span a range of problems related to i) developing theoretically-founded computationally-efficient  solutions to understand and address various issues rising in modern computational imaging, such as speckle noise and snapshot imaging, ii) online learning, iii) structure learning, and iv) developing an information theoretic understanding of neural networks and deep learning.

Athina Petropulu's Collaborative Research recognized with 2021 IEEE Signal Processing Society Young Author Best Paper Award

ECE Distinguished Professor Athina Petropulu is a co-author of the paper "Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design" that was selected to receive the 2021 IEEE Signal Processing Society Young Author Best Paper Award. The paper published in the IEEE Transactions on Signal Processing, August, 2018, is co-authored by Fan Liu, Longfei Zhou, Christos Masouros, Ang Li, and Wu Luo. The young authors Liu, Zhou and Li are affiliated with Beijing Institute of Technology, Peking University and University College of London. 

The paper deals with an emerging trend in next generation wireless systems that  includes sensing as a primary function, thereby adding a new dimension to the system capabilities. This has prompted intense research interest in integrated sensing-communication systems, i.e., systems in which sensing and communication functions share the majority of hardware. In scenarios with a large number of sensors and communication transceivers, the integration of radar and communication functionalities in one system can reduce device size, power consumption, and cost, while there is no need to address interference between the two systems. The paper focuses on a special case of such systems, namely, Dual-functional radar and communication (DFRC) systems. A DFRC system transmits a waveform which can be used to detect targets and at the same time, convey information to some receiver. However, designing waveforms that meet the radar constraints and also deliver high rate information is a challenging problem. The paper proposes optimal waveform designs for multiple-input multiple-output (MIMO) DFRC systems, which can support multi-user downlink communications, while guaranteeing a certain level of target sensing performance. Several waveform designs are proposed that minimize the multi-user interference (MUI) and meet MIMO radar waveform constraints, including omnidirectional waveform design, directional waveform design, tradeoff design with total/per-antenna power budget, and constant-modulus design. For omnidirectional/directional waveform designs, optimal closed-form solutions are derived. For tradeoff design with per-antenna power constraint, an efficient Riemannian Conjugate Gradient (RCG) algorithm is proposed by exploiting the manifold structure of the feasible region. Via numerical simulations, it is shown that the proposed DFRC waveform designs can achieve a flexible performance tradeoff between radar sensing and communication, rather than being restricted to be radar-optimal or communication-optimal, as was the case in previous works.

Congratulations Athina!

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