Salim El Rouayheb

Salim El Rouayheb is an Associate Professor in the Department of Electrical and Computer Engineering at Rutgers University, within the College of Engineering. He is also a fellow-in-residence at CY Advanced Studies, invited by the ETIS laboratory. Previously, he served as an Assistant Professor at the Illinois Institute of Technology, Chicago (2013–2017), and held postdoctoral positions at the University of California, Berkeley, and Princeton University.

His educational background includes a Ph.D. in Electrical Engineering from Texas A&M University, awarded in 2009.

Dr. El Rouayheb's research focuses on information-theoretic security and privacy in networks and distributed systems. His work addresses fundamental challenges in secure communication, including the wiretap problem, anonymity, private information retrieval, and differential privacy. He investigates the computational and communication costs of privacy-preserving algorithms and explores mechanisms to dynamically turn privacy ON or OFF based on context, particularly in genomic data applications where data correlation poses unique risks.

His research has been recognized with prestigious awards, including the NSF CAREER Award (2016), the Google Faculty Award (2018), and the Rutgers University Walter Tyson Junior Faculty Chair (2019).

• NSF CAREER Award (2016)
• Google Faculty Award (2018)
• Rutgers University Walter Tyson Junior Faculty Chair (2019)

He advises graduate students and leads research in secure and private data systems, though specific advisees are not listed in the provided text. His collaborative work includes joint projects with researchers such as Carolina Naim, Fangwei Ye, and Hyunghoon Cho. While no grants are explicitly detailed, his receipt of the NSF CAREER and Google Faculty Award indicates significant external research funding.

He is affiliated with research initiatives in information security and privacy, particularly through his lab or research group at Rutgers, though the specific name of the lab is not mentioned. His recent work bridges theoretical foundations with practical applications in genomic privacy and adaptive privacy mechanisms.