|"Artificial Intelligence Applications - from Finance to Cybersecurity" |
|Speaker ||: ||Prof. Dr. M. Ümit Uyar |
|Date ||: ||9 January 2019 (Wednesday) |
|Time ||: ||15:00 |
|Location ||: ||Deanery Meeting Room, Faculty of Computer and Informatics Engineering |
Abstract: Short Biography:
Grammatical Evolution (GE) has been a useful technique for many applications ranging from computer science, bio-informatics to finance. In GE, a syntactically correct program in any language may be generated by using variable-length binary strings to select production rules in a Backus Naur Form (BNF) grammar’s definitions. Since its introduction, GE has become the tool of choice to solve many Artificial Intelligence (AI) problems, for which solutions can be represented as computer programs. For example, a GE-based approach can be effective for constructing cyber intrusion detection programs, where a BNF considers mobility-related and packet-related features to determine if dropping, flooding, and route disruption attacks took place in MANETs. Similarly, in finance, a GE-based mechanism can automatically make optimal decisions in algorithmic trading applications.
Dr. M. Ümit Uyar (http://bioinspired.ccny.cuny.edu/uyar/) is a Professor at the Electrical Engineering Department of the City College of New York and the Computer Science Department of the Graduate Center of the City University of New York. He is also the Director of the Computer Engineering Program at the City College. His research interests include artificial intelligence based computation with for cyber warfare, mobile ad hoc networks, and cancer chemotherapy treatment decision support systems, and testing and verification of complex communication systems. Dr. Uyar has been a lead principle investigator for several large grants from U.S. Army and NSF to conduct research on artificial intelligence and game theory based cyber security, knowledge sharing mobile agents using bio-inspired algorithms for topology control in MANETs. Prior to joining academia, he was a Distinguished Member of Technical Staff at AT&T Bell Labs. He is an IEEE Fellow and holds seven U.S. patents. Dr. Uyar has a B.S. degree from Istanbul Technical University, and M.S. and Ph.D. degrees from Cornell University, Ithaca, NY, all in electrical engineering.