Department of Electrical and Computer Engineering

Stevens professor and senior research scientist Victor Lawrence, a member of the Electrical and Computer Engineering faculty since 2005, has been honored by the White House with the prestigious National Medal of Technology and Innovation. The medal — which recognizes individuals and organizations for lasting contributions to America’s competitiveness, quality of life and a strengthened technological workforce — was conferred by White House Office of Science and Technology Policy Director Arati Prabhakar during a January 3 ceremony in Washington, D.C.

An electrical and computer engineer for more than three decades with Bell Labs, Lawrence's work contributed to the foundations upon which the modern-day internet and mobile technologies were built. His research helped enable the historic global transition from analog communication technologies to faster, more accurate digital communications techniques. He also led Bell Labs teams developing early high-definition television and digital-video technologies.

Lawrence, who holds more than 50 U.S. and international patents, was previously honored in 2023 with a Science & Technology Medal by the Research & Development Council of New Jersey.

Read the full release: https://www.stevens.edu/news/stevens-victor-lawrence-receives-nations-highest-technology-innovation-medal

The Department of Electrical and Computer Engineering recently conducted its second annual ECE Three-Minute Thesis Competition, with three graduate students earning recognition for their presentation.

Originating in 2010 at the University of Queensland in Australia, The Three Minute Thesis competition (3MT), is an annual competition held at more than 200 universities worldwide. Competitors present their research in just 180 seconds, ideally in a way that can be understood by an intelligent audience with no background in the research area.

The winners of Stevens’ 2024 competition are: Sunil Gupta, first place; Nandan Hemanth, second place; and Zexin Liu, third place.

Gupta was advised by teaching assistant professor Md Abu Sayeed for their topic titled “Seizure detection using secured communication Networks.” Hemanth’s runner-up presentation was titled “Blabber - Call Translator with Voice Cloning” and they were advised by lecturer Joseph Helsing. Liu was advised by professor and Anson Wood Burchard Chair professor Lei Wu for their presentation “Equity-oriented power system planning and operation.”

Kevin Lu, teaching professor and associate chair for Undergraduate Studies in the Department of Electrical and Computer Engineering, has been recognized by the Institute of Electrical and Electronics Engineers (IEEE). Lu is receiving an IEEE SA Standards Board Distinguished Service Award for superior IEEE SA governance leadership as the IEEE SA Standards Board Audit Committee chair and as the IEEE SA Industry Connections Committee chair.

IEEE Standards Association (IEEE SA) is a leading consensus-building organization that nurtures, develops and advances global technologies, through IEEE. IEEE SA brings together a broad range of individuals and organizations from a wide range of technical and geographic points of origin to facilitate standards development and standards-related collaboration. Each year, the IEEE Standards Association honors contributions by groups and individuals to standards development.

"This award raises awareness of the importance of standards to the academic community and encourages faculty and students to participate in standards-related activities," said Lu.

Read more: https://standards.ieee.org/beyond-standards/2024-ieee-sa-award-winners/.

Zhuo Feng, professor in the Department of Electrical and Computer Engineering, recently received a grant worth $599,998 from the National Science Foundation. The project is titled “High-Performance Incremental Spectral Algorithms for Efficient Modeling and Simulation of Large-Scale Integrated Circuits.”

This research plan aims to investigate scalable algorithms for incremental spectral sparsification of large graphs and integrated circuit (IC) networks. The developed framework will allow for efficiently handling large networks that experience streaming edge insertions/deletions in sublinear time, and significantly accelerating SPICE-accurate modeling and simulations of large circuit designs that undergo frequent updates. This research plan will also investigate efficient approaches for incremental modeling and simulation of integrated circuits leveraging incremental spectral sparsification and involve close collaborations with leading industrial experts to evaluate the proposed research.

Feng and two Ph.D. student researchers will investigate a novel algorithmic framework called inGRASS that helps simplify large, complex networks. They will work with leading experts in circuit simulation at NXP Semiconductor to evaluate the research, using realistic circuit designs and comparing the performance against state-of-the-art commercial software and NXP's in-house computer-aided design tools. The resulting approach is intended to help manage changes in the circuit, such as adding or removing connections, much more quickly.

The success of the proposed research will potentially contribute to the advancements in spectral graph theory and electronic design automation (EDA), leading to the development of highly scalable incremental algorithms for solving partial differential equations, sparse matrix problems, spectral graph partitioning and design automation of large-scale ICs.