معرفی
Salem Al-Agtash is a Teaching Professor of Computer Science and Engineering at the School of Engineering, German Jordanian University (Amman, Jordan). He holds a Ph.D. in Electrical Engineering from the University of Colorado at Boulder (1998). His expertise spans Smart Microgrids, Agent Systems, and Machine Learning, with a focus on integrating computational tools like SPADE (Smart Python Agent Development Environment). He has published 54 peer-reviewed articles, including work on microgrid optimization, agent-based systems, and energy efficiency. His industrial experience includes EU-funded projects (Africa-Connect, EUMed-Connect) and consultancy in technology development.
Education:
- B.Sc. Electrical Engineering, Boğaziçi University (Turkey, 1988)
- M.Sc. Electrical Engineering, University of Colorado Denver (1995)
- Ph.D. Electrical Engineering, University of Colorado Boulder (1998)
Research Interests: Dr. Al-Agtash’s research combines energy systems, computational intelligence, and software engineering. His work on Smart Microgrids addresses decentralized control and renewable integration, while his Agent Systems research focuses on adaptive protocols and multi-agent coordination. Recent contributions include developing Python-based tools for microgrid management and enhancing wireless sensor networks for industrial applications.
Awards:
- Excellence Award for Open Learning Resources Development (German Jordanian University, 2016)
- Academic Distinction Award (Scientific Foundation of Hisham Adeeb Hijjawi, 2004)
- Fulbright Alumni Development Program (2001)
- Best International Student Achievement Award (Boğaziçi University, 1988)
Teaching & Advising: Dr. Al-Agtash teaches Computer Networks, Operating Systems, and C Programming. His courses emphasize practical skills for modern computing challenges. While no formal advisees are listed, his research collaborations involve mentoring students in agent systems and energy informatics.
Labs/Teams: He collaborates with international teams on EU-funded projects, including frameworks for smart microgrids and regional e-infrastructure initiatives.
