Dr. Aliasgari's research focuses on computer security and applied cryptography. He has published numerous papers on information security, and actively promotes cybersecurity education through courses, student projects, and competitions and local industry outreach. He joined the CSULB Computer Engineering and Computer Science Department in Fall 2013, after completing his Ph.D. from the University of Notre Dame. He received his B.S. in Electrical Engineering from Sharif University of Technology and his M.S. in Computer Science and Engineering from University of Notre Dame.
Dr. Asgari holds a joint appointment in CSULB's Biomedical Engineering and Computer Engineering and Computer Science departments. In her research, she uses computational and mathematical modeling tools, advanced signal processing algorithms, and artificial intelligence to deliver practical solutions for biomedical applications. After earning her Ph.D. in electrical engineering from UCLA, she completed two years of postdoctoral training at UCLA David Geffen School of Medicine and multidisciplinary brain research in the UCLA Neurosurgery Department. The recipient of a UCLA Brain Injury Research Center Young Investigator Award and CSULB Early Academic Career Excellence Award, Asgari in 2016 was inducted into the CSULB National Academy of Inventors chapter.
Ju Cheol Moon
The focus of Dr. Ju Cheol Moon's research lies in designing interpretable machine learning algorithms, building highly accurate deep neural networks on prediction, and in applying computational frameworks to solve interdisciplinary problems. His research not only contributes to theoretical science, but also has practical applications.
Dr. Morales-Ponce employs algorithmic techniques to deliver practical cooperative robot applications. After earning his Ph.D. in Computer Science from Carleton University, he completed one year of postdoctoral training at Carleton University and two years at Chalmers University of Technology, where he participated in a cooperative vehicles project funded by the European Union. Morales-Ponce joined the CSULB Computer Engineering and Computer Science department in 2015. He has published her work in more than 30 peer-reviewed journal and conference proceedings.
Dr. Rezaei has a dozen years of experience in computer science and engineering research with a focus on hardware security and computer architecture. He helps the high-tech industry thrive and contribute to economic prosperity and innovation. Dr. Rezaei has multiple peer-reviewed scientific articles at the flagship venues such as DAC, ICCAD, DATE, and ASP-DAC. He is the recipient of an Academic Excellence Award from University of Louisiana at Lafayette, and Walter P. Murphy Fellowship & Royal E. Cabell Fellowship awards from Northwestern University.
Dr. Sayadi’s research interests include hardware security, computer architecture, computer systems cybersecurity, applied machine learning, and energy-efficient computing. In his current research, he uses effective artificial intelligence and machine learning techniques to address emerging hardware and architecture cybersecurity challenges such as microarchitectural run-time malware detection and side-channel attacks analysis. Dr. Sayadi is a two-time recipient of the Provost Doctoral Fellowship from George Mason University. He is the director of the CECS's Intelligent, Secure, and Energy-Efficient Computer Systems (ISEC) Lab. He has published his work in the proceedings of the Design Automation Conference (DAC), Int'l. Conference on Computer Aided Design (ICCAD), Design, Automation & Test in Europe Conference & Exhibition (DATE), and Asia and South Pacific Design Automation Conference (ASP-DAC).
Dr. Xu’s research focuses on systems with an emphasis on online social stream data processing, big data processing, and stream processing. He designed and implemented systems for analyzing social stream data, handling security issues in social networks, recovering failures of states in stream systems, and supporting applications in the cloud or edge environment. He is also interested in solving security issues in edge and cloud computing, guaranteeing stream applications in the edge environment, and identifying the threats (e.g., fake news, rumors, social bots) from online social networks.
Wenlu Zhang leads the Deep Learning Lab (LBDL) at CSULB. Before joinging CSULB, she was a postdoc in the School of Electrical Engineering and Computer Science at Washington State University. Zhang obtained her Ph.D. degree in Computer Science from Old Dominion University in 2016, advised by Prof. Shuiwang Ji. Her research interests include machine learning, data mining, computational biology, and computational neuroscience.