معرفی
Ivan Chorbev, Ph.D. is an Assistant Professor at the Institute for Computer Science and Engineering, Faculty of Electrical Engineering and Information Technologies (FEIT), Ss. Cyril and Methodius University in Skopje, North Macedonia. Since 2009 he has taught courses ranging from Structured Programming to Computer Animation and consulted on numerous EU and national ICT projects.
Education
- B.Sc., Faculty of Electrical Engineering, Skopje, 2004
- M.Sc., Faculty of Electrical Engineering, Skopje, 2006
- Ph.D., Faculty of Electrical Engineering and Information Technologies, Skopje, 2009
Research Interests
His work integrates combinatorial optimization and machine learning to solve complex real-world problems. Core themes include designing heuristic algorithms and constraint programming models for scheduling, resource allocation and telemedicine systems, developing medical expert systems that leverage knowledge extraction and predictive modeling, and creating web-based platforms for e-health, smart living and educational services.
Publication Trends
Over 70 peer-reviewed works (2005-2014) reveal a clear trajectory from foundational optimization and constraint-solving research toward interdisciplinary applications in telemedicine, social media analytics, and assistive technologies. A notable 2011-2014 surge focuses on cloud-supported e-health systems, 3-D printing for assistive devices, and mining social media for epidemiological insights.
Scientific Awards
- Golden engineering ring – awarded by the Organization of Engineers of Macedonia for best student of his generation.
Projects & Funding
- Risk Assessment for Customs in Western Balkans – FP6
- COST IC0602 Algorithmic Decision Theory – management committee member (FP6)
- COST IC1002 MUMIA – management committee member (FP7)
- E-HFISN – e-Health applications using folksonomy & social networks (FP7)
- TEMPUS – Innovation and Knowledge Management toward eStudent Information System
Laboratory & Team
He conducts research within the Institute for Computer Science and Engineering laboratories, supervising graduate projects in optimization, medical informatics and smart environments.
