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Faculty

Fadi Kurdahi

Fadi Kurdahi

Fadi Kurdahi is the CECS Director and a Research Professor at University of California, Irvine. His research interests include: Early estimation and exploration in hardware/software co-design of embedded systems, Design methodology of large scale systems, Low-power, process-aware Systems-on-Chip design, Mobile and portable wireless and multimedia systems, Reconfigurable computing, and Software-defined Radio.

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Marco Levorato

Marco Levorato

Marco Levorato is an Associate Professor at University of California, Irvine. His research interests are: Real-Time distributed computing in wireless systems, Wireless systems for AI and AI for wireless systems, and IoT and Healthcare. He has received 8 awards and has 9 current projects.

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Zhou Li

Zhou Li

Zhou Li is currently an Assistant Professor in the Electrical Engineering and Computer Science departments at the University of California, Irvine. He received his Ph.D. in Computer Science at Indiana University Bloomington in 2014. His current research interests lie in data-driven security analytics, internet measurement, side-channel analysis, and IoT security. To read more about Zhou Li, see https://engineering.uci.edu/users/zhou-li.

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Alexandru Nicolau

Alexandru Nicolau

Parallel programs, especially those with truly critical time (speed) requirements, are difficult to design. The process is extremely error-prone, tedious and time-consuming. The first goal of Dr. Nicolau’s work is to design and implement a system of program transformations that support the semi-automatic (and eventually fully-automatic) exploitation of substantially all the parallelism available in a given program.

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Amir Rahmani

Amir Rahmani

Amir Rahmani is a Professor of Nursing and Computer Science at the University of California, Irvine (UCI), and a computer scientist by training. He is also the Associate Director of the UCI Institute for Future Health, a university-wide organized research unit (ORU) focusing on personal health empowerment. He lead the multi-disciplinary HealthSciTech Group at UCI. Prior to joining UCI as a faculty, he was an EU Marie Curie Global Fellow in the Computer Science Department of University of California, Irvine, USA and in the Institute of Computer Technology of TU Wien, Vienna, Austria. He is also an adjunct professor (Docent) in embedded parallel and distributed computing in the Department of Computing of University of Turku, Turku, Finland. 

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Yasser Shoukry Sakr

Yasser Shoukry Sakr

Yasser Shoukry is an Assistant Professor at University of California, Irvine. He received his PhD from UCLA working under the supervision of Prof. Paulo Tabuada (CyPhy Lab) and Prof. Mani Srivastava (NESL Lab). He previously received his B.Sc. degree in computer engineering at Ain Shams University in 2007, with distinction and honors. He also received his M.Sc. degree in computer engineering at Ain Shams University in 2010 under supervision of Prof. Sherif Hammad and Prof. Watheq El-Kharashi.

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Boris Vaisband

Boris Vaisband

Boris Vaisband is an Assistant Professor at the University of California, Irvine, working on heterogeneous systems integration. In 2024, he was the Acting Director of UCLA CHIPS, and from 2019 to 2024, an Assistant Professor at McGill University. He received a B.S. degree in Computer Engineering from the Technion- Israel Institute of Technology in 2011, and M.S. and Ph.D. degrees in Electrical Engineering from the University of Rochester, NY, in, respectively, 2012 and 2017. From 2017 to 2019, Prof. Vaisband was a Postdoctoral Scholar at UCLA. From 2008 to 2015, he held various hardware design positions at Intel, Cisco, and Google. Professor Vaisband is a senior member of the IEEE (’12), and a member of the IEEE Circuits and Systems Society (’16) and the IEEE Electronics Packaging Society (’18). His current research interests are in heterogeneous integration, advanced packaging, and neuromorphic systems, with a focus on circuits, EDA tools, and design methodologies for power delivery, communication, thermal aware design and floorplanning, and testing. Some applications of interest are ultra-large-scale artificial intelligence systems and high performance computing.

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