Faculty Mentors

Dr. Sos S. Agaian is a Distinguished Professor of Computer Science at College of Staten Island and the Graduate Center, City University of New York (CUNY). Prior to joining CUNY, Dr. Agaian was the Peter T. Flawn Professor of Electrical and Computer Engineering at the University of Texas at San Antonio; Graduate School of Biomedical Sciences UTHSCSA at San Antonio; Professor of UT System Cyber and Cloud Security Initiative, and Director of Multimedia and Mobile Signal Processing Laboratory. Professor Agaian has been a visiting faculty at the Tufts University, the Tampere Institute of Technology, and the Leading Scientist at the AWARE, Inc. at Bedford, MA. Dr. Agaian received a Ph.D. in Mathematics and Physics from the Steklov Institute of Mathematics, Russian Academy of Sciences (RAS); and Doctor of Engineering Sciences degree from the Institute of Control Systems, RAS. Dr. Agaian's research interests are in Big and Small Data Analytics, Computational Vision and Sensing, Machine Learning and Urban Computing, Multimodal Biometric and Digital Forensics, Information Processing and Fusion, and Fast Algorithms. Dr. Agaian has developed applications in Healthcare, Biomedical Data Mining, Object Recognition, Signal Processing, Computer-Aided Food Quality Inspection, 3D Imaging Visible and Thermal Sensors, Computational Photography, Multimedia Security, Needs-Driven Medical and Biomedical Technology, Finance, and Other Related Areas. Memberships (The Journal of Electronic Imaging (SPIE, IS&T); IEEE Transaction on Image Processing; IEEE Transaction on Systems, Man, and Cybernetics; Editorial Board Member for the Journal of Pattern Recognition and Image Analysis; etc.). Please visit his homepage

Tushar is an Assistant Professor of Electrical Engineering at the City College of the City University of New York. His primary research interests are in computer security and privacy, with an emphasis on providing guarantees for users' everyday systems. He received his PhD in computer science from Johns Hopkins University while studying under his advisor Avi Rubin. He was awarded the Prof. Joel Dean Excellence in Teaching Award in 2021.
Please visit his homepage.

Louis is a Professor, and former Chair of Computer Science Department. His research interests are in network reliability and extremal graph theory. In Network Reliability, network components (nodes and communication links) may be subject to random failures, due for example to components wear-out or actions of intentional adversaries. The reliability of a network is the probability that the network withstands these failures. Reliability models are mathematical in nature, based upon Graph Theory, and they are applied to measure performance objectives of Wireless, Optical, and general communication networks. In addition, these models are used to find a more reliable network to an existing one, by improving the communication between groups of communication nodes called participating nodes. Louis is also interested in other areas of research including optimization problems in Graph Theory as well as the analysis of RNA structure and function in Biology. Please visit his homepage

Dr Lei Xie

is a Professor of Computer Science, Biology, and Biochemistry at Hunter College of the City University of New York (CUNY) and an Adjunct Professor of Neuroscience at Weill Cornell Medicine. Dr. Xie training and interests span various fields, including machine learning, genomics, systems biology, and biophysics. Over the last nine years as a principal investigator, Xie has been awarded 4 NIH R01 grants (one active), 1 NIH R21 grant, 1 NIH R21/R33 grant (active), and 2 NSF grants (active). Professor Xie's main research goal is to develop novel methods in data science as well as to apply artificial intelligence to advancing biomedicine. Professor Xie has applied new AI models to accurately predict human response to novel drug compounds as well as repurposing existing drugs and design novel therapeutics for presently incurable diseases. Please visit his homepage.

Shuqun is a Professor at College of Staten Island and a PhD faculty member at Graduate Center, CUNY. He received his PhD degree in electrical engineering from University of Dayton, his MS and BS degrees in electrical engineering from Xiamen University. He was a visiting faculty research fellow at the Air Force Research Laboratory (AFRL), Rome, NY (summer 2003-2006). His research interests include image processing, computer vision, pattern recognition, digital holography, and optical information processing. Please visit his homepage.

Zhanyang acquired his PhD degree in computer science from the City University of New York. He received a MS degree in computer science from the College of Staten Island and a BE degree in computer engineering from Jilin University, China. He is currently a faculty member of Computer Science Department at both College of Staten Island and Graduate Center, the City University of New York (CUNY). His current research interests include wireless ad hoc networks, sensor networks, RFID and its applications, underwater sensor networks, and mobile computing and database. He is also a visiting professor at several Universities in China, including Hebei University, North China Electrical Power University and Jilin University. Before joining CUNY, he was a member of technical staff (MTS) at Bell Labs, Lucent Technology. He also worked as an IT consultant at different companies in New York City and New Jersey State. Please visit his homepage.

Dr. Yu-Wen Chen is an Assistant Professor of Computer Science at City Tech (CUNY), and she received her Ph.D. degree in Computer Engineering from Iowa State University, M.S. degree in Electrical Engineering from Columbia University, and B.S. degree in Communication Engineering from National Central University in Taiwan.

Dr. Chen has interdisciplinary research background including the cloud-based energy management, demand response, electric vehicle charging scheduling, mobile communication, fairness, and peer-to-peer networking. Her research interests span a range of topics in smart grid, large-scale data analysis, cloud computing, optimization, communication networking, security, and Internet of Thing. Please visit her homepage.