Gokhan Kul

faculty

Gokhan Kul, PhD he/him

Assistant Professor

Computer & Information Science

Contact

508-910-6484

gkul@umassd.edu

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

  • Cybersecurity
  • Computer Systems
  • Database Systems

Teaching

Programs

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.

Department seminar presentations by speakers from industry and academia in addition to UMass Dartmouth faculty, and CIS Master student thesis defense presentations that are scheduled during the seminar course time slot. Students are required to attend these presentations and participate in technical discussions and write a report by the end of the semester.

Department seminar presentations by speakers from industry and academia in addition to UMass Dartmouth faculty, and CIS Master student thesis defense presentations that are scheduled during the seminar course time slot. Students are required to attend these presentations and participate in technical discussions and write a report by the end of the semester.

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.

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.

Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.

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
  • Database Systems

Additional links