Sos S. Agaian, PhD in Mathematics, Dr, Engineering Science, and 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, UT System Cyber and Cloud Security Initiative, and Director of Multimedia and Mobile Signal Processing Laboratory. He 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 his M.S. in Mathematics and Mechanics (summa cum laude) from the Yerevan State University, Armenia; his Ph.D. in Mathematics and Physics from the Steklov Institute of Mathematics, Russian Academy of Sciences (RAS); and his Doctor of Engineering Sciences degree from the Institute of Control Systems, RAS.
Scholarly Interests. Dr. Agaian’s interdisciplinary research has evolved from industrial mathematics to computer science; and from applied signal/image processing to data analytics and neurocomputing. 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. He has special interests in finding meaning in visual content-examine images for faces, text, objects, action, sciences, and other contents; and in the development of scientific systems and architectures in the theory and practice of engineering and computer sciences (emphasizing complex digital data processing, information sciences and systems technologies in the military, as well as medical and industrial information processing centers).
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.