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Victor Lawrence Awarded by White House With Prestigious National Medal of Technology and Innovation
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
Hao Wang Advances AI Research Through Three NSF-Funded Projects
Hao Wang, associate professor in the Department of Electrical and Computer Engineering at Stevens Institute of Technology, is leading three National Science Foundation (NSF)-funded projects that tackle critical challenges in artificial intelligence (AI) systems, from energy efficiency to security and performance optimization.
In a $600,000 project—of which Wang is awarded $300,000—his team is developing methods to safely and efficiently harvest idle resources in high-performance computing (HPC) systems. The goal is to reduce AI job wait times and improve system productivity by analyzing idle resource patterns, designing safe harvesting techniques and applying these resources to accelerate large-scale AI applications.
A second project, funded at $1.2 million with $450,000 allocated to Wang, focuses on improving energy efficiency in federated learning (FL) for mobile AI systems. The research aims to create a universal energy estimation framework, develop strategies to reduce energy consumption during FL training, and incorporate energy metrics—such as battery life—into the selection of participating devices, balancing performance with sustainability.
The third project, a $400,000 initiative with $100,000 to Wang, investigates critical learning periods (CLPs) in FL training. These are key phases during which models are especially sensitive to learning and potential vulnerabilities. Wang’s team seeks to identify CLPs in real time, use them to enhance model robustness and accuracy, and generalize findings across FL techniques to improve security and resilience against adversarial threats.
These projects reflect Wang’s leadership in advancing the next generation of intelligent, efficient and secure AI systems.
Computer Engineering Ph.D. Student Hanfei Yu Named 2025 MLCommons ML and Systems Rising Star
Hanfei Yu, a fourth-year doctoral student in the Computer Engineering Ph.D. program within Stevens’ Department of Electrical and Computer Engineering, has been named a 2025 MLCommons ML and Systems Rising Star. MLCommons is an artificial intelligence (AI) engineering consortium, built on a philosophy of open collaboration to improve AI systems.
The MLCommons ML and Systems Rising Stars is an initiative designed to identify a cohort of early- to late-stage and recently graduated Ph.D. students, as well as other researchers with a relevant background, to develop community, foster research and career growth, enable collaborations and discuss career opportunities among the rising generation of researchers at intersections of machine learning and systems. This year, the program received more than 150 global applicants, of which only 38 were accepted as part of the 2025 cohort.
Yu’s advisor is Hao Wang, assistant professor in the Department of Electrical and Computer Engineering. This honor was awarded to Yu based on his research excellence at the intersection of serverless computing and AI systems. Serverless computing is known as the next-gen computing paradigm that converges HPC and cloud cyberinfrastructures. His work focuses on enhancing the resource efficiency of serverless computing through AI/ML techniques and developing high-performance serverless systems for AI/ML training and inference.
Yu's contributions have earned significant recognition, including the ACM SoCC’24 Best Paper Award and ACM/IEEE SC’24 Best Student Paper Finalist. With 12 publications in top international conferences and journals, he has made a notable impact on the field. Yu’s advisor is Hao Wang, assistant professor in the Department of Electrical and Computer Engineering.
Stevens Undergraduate Team Chosen as Port Authority College Challenge Finalists
Mechanical Engineering undergraduate students Adrien Susino, Dominic Souza, Christopher Osowski, and Noah Golan; and Electrical and Computer Engineering undergraduate students Mauricio Sanchez and Jared Surajballi, were selected as finalists for the Port Authority of New York & New Jersey 2024-2025 College Challenge for their project on "Vehicular Tunnel Catwalk Robotics."
The team will receive a $10,000 grant to build a working prototype this coming semester and will also get an internship at the Port Authority of New York & New Jersey (PANYNJ) this summer. The project involved designing an unmanned robot to patrol the catwalks in the Lincoln Tunnel as well as other tunnels. These catwalks were once used by manned electric vehicles but were abandoned approximately 20 years ago. PANYNJ wants to repurpose them to better identify adverse conditions or emergencies, allowing for quicker response times.
The team was advised by teaching associate professor Anthony Shupenko, of the Department of Civil, Environmental and Ocean Engineering.
Victor Lawrence Awarded by White House With Prestigious National Medal of Technology and Innovation
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
Hao Wang Advances AI Research Through Three NSF-Funded Projects
Hao Wang, associate professor in the Department of Electrical and Computer Engineering at Stevens Institute of Technology, is leading three National Science Foundation (NSF)-funded projects that tackle critical challenges in artificial intelligence (AI) systems, from energy efficiency to security and performance optimization.
In a $600,000 project—of which Wang is awarded $300,000—his team is developing methods to safely and efficiently harvest idle resources in high-performance computing (HPC) systems. The goal is to reduce AI job wait times and improve system productivity by analyzing idle resource patterns, designing safe harvesting techniques and applying these resources to accelerate large-scale AI applications.
A second project, funded at $1.2 million with $450,000 allocated to Wang, focuses on improving energy efficiency in federated learning (FL) for mobile AI systems. The research aims to create a universal energy estimation framework, develop strategies to reduce energy consumption during FL training, and incorporate energy metrics—such as battery life—into the selection of participating devices, balancing performance with sustainability.
The third project, a $400,000 initiative with $100,000 to Wang, investigates critical learning periods (CLPs) in FL training. These are key phases during which models are especially sensitive to learning and potential vulnerabilities. Wang’s team seeks to identify CLPs in real time, use them to enhance model robustness and accuracy, and generalize findings across FL techniques to improve security and resilience against adversarial threats.
These projects reflect Wang’s leadership in advancing the next generation of intelligent, efficient and secure AI systems.
Stevens Professors Win Presidential Awards
We are celebrating two distinguished honors recently bestowed on our faculty: Victor Lawrence, a communications pioneer and longtime Stevens professor and research scientist, was awarded the National Medal of Technology and Innovation for his lifetime of contributions. Also, George Meade Bond Endowed Professor Nicholaus Parziale was selected as a recipient of the highly prestigious Presidential Early Career Award for Scientists and Engineers.
Learn About Our Research
The Center for Innovative Computing and Networked Systems (iCNS) at Stevens advances science and technologies in the fields of computing, electrical and electronics systems, computer hardware and software systems, power grid systems, and applied artificial intelligence.
WATCH: About iCNS
The Center for Innovative Computing and Networked Systems unites the research expertise and resources of the Department of Electrical and Computer Engineering at Stevens to tackle complex challenges in computing and networked systems. Transcending the boundaries of science and engineering disciplines, iCNS enables open research across diverse areas within the Stevens community and beyond.
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