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Gokhan Kul

faculty

Gokhan Kul, PhD he/him

Associate Professor

Computer & Information Science

Contact

508-910-6484

Dion 307B

Education

2018University at Buffalo, SUNYPhD in Computer Science
2012Middle East Technical UniversityMS in Computer Engineering
2010TOBB University of Economics and TechnologyBS in Computer Engineering

Teaching

  • Cyber Defense and Operations
  • Digital Forensics
  • Database Design

Teaching

Courses

Preservation, identification, extraction and documentation of evidence in any computing environment. This course follows a practical approach to the practice of digital forensics while presenting technical and legal matters related to forensic investigations. It introduces various technologies used in everyday computing environments along with detailed information on how the evidence contained on these devices should be analyzed.

Preservation, identification, extraction and documentation of evidence in any computing environment. This course follows a practical approach to the practice of digital forensics while presenting technical and legal matters related to forensic investigations. It introduces various technologies used in everyday computing environments along with detailed information on how the evidence contained on these devices should be analyzed.

The relational, hierarchical, and network approaches to database systems, including relational algebra and calculus, data dependencies, normal forms, data semantics, query optimization, and concurrency control on distributed database systems.

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

Prerequisites: Completion of three core courses.   Development of a detailed, significant project in computer science under the close supervision of a faculty member, perhaps as one member of a student team. This project may be a software implementation, a design effort, or a theoretical or practical written analysis. Project report with optional oral presentation must be evaluated by three faculty members including the project supervisor.  

Prerequisite: Completion of three core courses. Research leading to submission of a formal thesis. This course provides a thesis experience, which offers a student the opportunity to work on a comprehensive research topic in the area of computer science in a scientific manner. Topic to be agreed in consultation with a supervisor. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Graded A-F.

Prerequisite: Completion of three core courses. Research leading to submission of a formal thesis. This course provides a thesis experience, which offers a student the opportunity to work on a comprehensive research topic in the area of computer science in a scientific manner. Topic to be agreed in consultation with a supervisor. A written thesis must be completed in accordance with the rules of the Graduate School and the College of Engineering. Graded A-F.

A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.

A team-based learning experience that gives students the opportunity to synthesize prerequisite course material and to conduct real-world analytics projects using large data sets of diverse types and sources. Students work in independent teams to design, implement, and evaluate an appropriate data integration, analysis, and display system. Oral and written reports and ethical aspects are highlighted.

Written presentation of an original research topic in Data Science which demonstrates the knowledge & capability to conduct independent research. The thesis shall be completed under the supervision of a faculty advisor. An oral examination in defense is required.

Research

Research awards

  • $ 499,999 awarded by Commonwealth of Massachusetts for Mass Skills - Intelligent Industrial Robotics and Cyber Security Test Bed
  • $ 286,754 awarded by Office of Naval Research for UMassD MUST IV: Automated Vulnerability and Backdoor Detection as a Part of Software Development Pipeline
  • $ 1,218,640 awarded by National Science Foundation for CyberCorps Scholarship for Service: Accelerating Cybersecurity Education, Scholarship and Service
  • $ 149,903 awarded by U.S. Department of the Army for Resilience Engineering of Machine Learning-enabled Open World Recognition for Network Intrusion Detection Systems

Research

Research interests

  • Cybersecurity for AI
  • Software Security
  • Data Security

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