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

Introduction to major components of computer system software. The course introduces fundamental concepts of computing systems, such as binary arithmetic and data representation, the Von Neumann model for processing computer programs, the operation of memory, instruction set, and machine and assembly language programming. It systematically presents the levels of transformations from machine language to assembly language to high level language. The role of such systems software components as assemblers, compilers, linkers, loaders, and operating systems is studied. The course has a strong project component.

Introduction to major components of computer system software. The course introduces fundamental concepts of computing systems, such as binary arithmetic and data representation, the Von Neumann model for processing computer programs, the operation of memory, instruction set, and machine and assembly language programming. It systematically presents the levels of transformations from machine language to assembly language to high level language. The role of such systems software components as assemblers, compilers, linkers, loaders, and operating systems is studied. The course has a strong project component.

Introduction to major components of computer system software. The course introduces fundamental concepts of computing systems, such as binary arithmetic and data representation, the Von Neumann model for processing computer programs, the operation of memory, instruction set, and machine and assembly language programming. It systematically presents the levels of transformations from machine language to assembly language to high level language. The role of such systems software components as assemblers, compilers, linkers, loaders, and operating systems is studied. The course has a strong project component.

Introduction to major components of computer system software. The course introduces fundamental concepts of computing systems, such as binary arithmetic and data representation, the Von Neumann model for processing computer programs, the operation of memory, instruction set, and machine and assembly language programming. It systematically presents the levels of transformations from machine language to assembly language to high level language. The role of such systems software components as assemblers, compilers, linkers, loaders, and operating systems is studied. The course has a strong project component.

Introduction to major components of computer system software. The course introduces fundamental concepts of computing systems, such as binary arithmetic and data representation, the Von Neumann model for processing computer programs, the operation of memory, instruction set, and machine and assembly language programming. It systematically presents the levels of transformations from machine language to assembly language to high level language. The role of such systems software components as assemblers, compilers, linkers, loaders, and operating systems is studied. The course has a strong project component.

Introduction to major components of computer system software. The course introduces fundamental concepts of computing systems, such as binary arithmetic and data representation, the Von Neumann model for processing computer programs, the operation of memory, instruction set, and machine and assembly language programming. It systematically presents the levels of transformations from machine language to assembly language to high level language. The role of such systems software components as assemblers, compilers, linkers, loaders, and operating systems is studied. The course has a strong project component.

Introduction to major components of computer system software. The course introduces fundamental concepts of computing systems, such as binary arithmetic and data representation, the Von Neumann model for processing computer programs, the operation of memory, instruction set, and machine and assembly language programming. It systematically presents the levels of transformations from machine language to assembly language to high level language. The role of such systems software components as assemblers, compilers, linkers, loaders, and operating systems is studied. The course has a strong project component.

Introduction to major components of computer system software. The course introduces fundamental concepts of computing systems, such as binary arithmetic and data representation, the Von Neumann model for processing computer programs, the operation of memory, instruction set, and machine and assembly language programming. It systematically presents the levels of transformations from machine language to assembly language to high level language. The role of such systems software components as assemblers, compilers, linkers, loaders, and operating systems is studied. The course has a strong project component.

Laws of computer organization and design for RISC architectures. Interfaces between hardware and software are studied. Influence of instruction set on performance is presented. Design of a processor with pipelining is analyzed. Computer arithmetic is studied. Memory hierarchy and their influence on performance is documented. Elements of interfacing and I/O organization are included. The course has a design, implementation, and analytical components. (Formerly offered as CIS 270)

Study under the supervision of a faculty member in an area covered in a regular course not currently being offered. Conditions and hours to be arranged.

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