Professor Elmalaki’s Research
Salma Elmalaki received her Ph.D. in electrical and computer engineering (ECE) from the University of California, Los Angeles in 2018, where she was affiliated with the Networked and Embedded Systems Lab. She received her B.Sc. degree (with distinction and honors) in computer and systems engineering from Ain Shams University, Cairo, Egypt, in 2008. Between August 2018 and August 2019, Elmalaki was a computational methods engineer at Janelia Research Campus (HHMI). Before pursuing her Ph.D. at UCLA, she spent three years as an R&D engineer in the embedded systems industry. Elmalaki is the recipient of the Microsoft Research Fellowship (2016-2018), the Best Paper Award from the International Conference on Mobile Computing and Networking (MobiCom) in 2015, the Best Community Paper Award from the International Conference on Mobile Computing and Networking (MobiCom) in 2015, and was selected as a Grace Hopper Scholar to celebrate women in computing in 2016. She joined the UC Irvine Department of Electrical Engineering and Computer Science in October 2019.
Cyber-Human-Physical Systems, Pervasive autonomous IoT, Machine Learning, and Designing personalized context-aware systems with a particular focus on performance, privacy, reliability, fairness, and adaptability. My research draws on tools from embedded systems, human modeling, machine learning, and mobile computing.