Department of Computer Science and Autonomous Systems
Head of Department:
Zaven Naghashyan
PhD in Technical Sciences
The department's activities are aimed at training specialists capable of solving research and applied problems in the field of computer science and information technology.
At the core of the educational approach is the integration of fundamental knowledge and practical work. Mathematical and algorithmic thinking, data processing, and software systems design are viewed as the foundation of professional growth. Special emphasis is placed on independent problem formulation in the context of artificial intelligence, the conscious application of technology, and the critical evaluation of outcomes.
The department was established in 2026 through the merger of two departments of ISEC NAS RA, inheriting their educational and scientific achievements alongside rich experience.
Objectives of the Department:
- Train Master's students capable of formulating professional problems, selecting well-grounded resolution methods, and evaluating results.
- Develop mathematical, systems, and algorithmic thinking linked with software systems development.
- Combine theoretical studies, experimental work, and project implementation in teaching.
- Enhance skills in data analysis, working with scientific literature, and presenting research findings.
- Foster collaboration between students, researchers, and industry specialists on real-world problems.
Specializations:
- 061101.03.7 — "Computer Science and Computer Engineering"
- 061104.02.7 — "Information Systems Development"
Research Work
At the core of the department's research work is a clear problem statement, the study of existing approaches, solution development, and experimental evaluation. This approach aims to involve students in the entire research process — from the initial question to the justification and presentation of findings.
Recommended directions for research topics include knowledge representation and acquisition, artificial intelligence, data analytics, software systems design, and cloud and distributed computing.
Upon Graduation, Master's Graduates Will Be Able To:
- Analyze professional problems, formulate requirements, and justify the choice of solution methods.
- Design and develop software systems considering data structures, system architecture, and performance quality.
- Collect, clean, organize, and analyze data using appropriate methods and tools.
- Evaluate the applicability of cloud and distributed technologies to solve specific problems.
- Apply artificial intelligence tools while verifying accuracy and understanding their limitations.
- Plan research, conduct experiments, and present reasoned conclusions.
- Work effectively in professional teams and independently acquire new knowledge and skills.
Opportunities of the Department
A key priority for the department's development is involving students in research and practical projects. This work bridges academic course material with real-world problems, develops teamwork skills, and builds experience in presenting results.
Scientific seminars, professional discussions, and knowledge sharing with industry experts are highly emphasized. Project-based learning also helps shape thesis topics and clarify their practical application.
DEPARTMENT STAFF
| Zaven Naghashyan |
Ph.D. in Technical Sciences, Acting Head of Department |
| Armen Poghosyan |
Doctor of Phys.-Math. Sciences, Associate Professor |
| Emil Gazazyan | Ph.D. in Phys.-Math. Sciences |
| Sergey Abrahamyan |
Ph.D. in Phys.-Math. Sciences |
| Varazdat Avetisyan | Ph.D. in Technical Sciences |
| Robert Tadevosyan | Ph.D. in Technical Sciences |
| Vahagn Poghosyan | Ph.D. in Phys.-Math. Sciences |
| Lilit Ter-Vardanyan |
Lecturer |
| Gayane Madatyan | Lecturer |
| Boris Karapetyan |
Lecturer |
| Satenik Mnatsakanyan |
Lecturer |
| Hakob Simonyan |
Lecturer |
Department Coordinator: Manana Yenokyan
Tel: (+374 60) 510 810
E-mail: info@instigate.academy