Research Instrument Development for Computer Engineering with RoboticsĪpplications, Principle Investigator, $202,844 SPs: Sadegh, Levin, Grossberg), (in addition, this grant also (2 years, Co-PIs: Xiao, Zhu, Lee, Wolberg Intelligent Sensors and Machines (PRISM) at CCNY, This grant is an extension of original CTA Networks, Co- Principal Investigator, $600,000 (exact amounts (ARL) Program: Efficient Reliable End-to-End Communications,Ĭollaborative Scientific Alliance (CTA) in Communications and NJ: Knowledge Sharing Agents Using Genetic Algorithms in Mobile Principal Investigator, $478,968 (Co-PI: J. Robots with Climbing and Reliable Communication Capabilities, Major Research Instrument Development of a New Generation of Mobile I-Corps Program, Implementation of Genetic Algorithms for PersonalizedĬhemosensitivity Testing for Cancer Patients, Principal Investigator, The Graduate Center of the City University of New York (2005 - to date)ĪI and Game Theory Based Autonomous CND Software Agents for Dynamic Trust The City College of New York, the City Universityĭirector - Computer Engineering Program (2014 - to date) in Electrical Eng., Istanbul Teknik Universitesi, in Electrical Eng., Cornell University, Ithaca,ī.S. degrees from Cornell University, Ithaca, NY, all in electrical engineering.Electrical Engineering Department, The City College of the City University of New YorkĬomputer Science Department, Graduate Center of the City University of New York degree from Istanbul Technical University, and M.S. He is an IEEE Fellow and holds seven U.S. Prior to joining academia, he was a Distinguished Member of Technical Staff at AT&T Bell Labs. 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. Uyar has been a lead principle investigator for several large grants from U.S.
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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. He is also the Director of the Computer Engineering Program at the City College. Ümit 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. Similarly, in finance, a GE-based mechanism can automatically make optimal decisions in algorithmic trading applications.ĭr.
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. 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. 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.
Grammatical Evolution (GE) has been a useful technique for many applications ranging from computer science, bio-informatics to finance. "Artificial Intelligence Applications - from Finance to Cybersecurity "ĭeanery Meeting Room, Faculty of Computer and Informatics Engineering Seminar Announcement: "Artificial Intelligence Applications - from Finance to Cybersecurity" by Prof.
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