Makes learning engaging and enjoyable.
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Dr. Ali Golbazi serves as Professor and Chair of the Department of Electrical & Computer Engineering and Computer Science within the Tagliatela College of Engineering at the University of New Haven. He earned his Ph.D. in Electrical Engineering from Wayne State University and began his academic career as a lecturer at George Washington University in 1986. At the University of New Haven, Dr. Golbazi coordinates the B.S. in Electrical Engineering program and instructs both undergraduate and graduate courses, including EE 680/EE 480 Fiber Optic Communications, EE 461 Electromagnetic Theory, EE 235/EE 257 Analog Circuits and Laboratory, EE 348/EE 349 Electronics II and Design Laboratory, and EE 155 Digital Systems I. He also directs Project Lead The Way (PLTW), the nation's leading STEM curriculum provider for middle and high schools, fostering engineering education initiatives in Connecticut and beyond. As a member of the Institute of Electrical and Electronics Engineers (IEEE) and the American Society for Engineering Education (ASEE), Dr. Golbazi contributes to professional standards and educational advancements in his field.
Dr. Golbazi's research specializations encompass fiber optics, optical sensors, and electronics. His scholarly contributions include the publication "A Pilot Program in Internet-of-things with University and Industry Collaboration: Introduction and Lessons Learned" presented at the 2018 ASEE Annual Conference and Exhibition, co-authored with colleagues from the University of New Haven and industry partners. Earlier works feature "A pre-biased micro bending optical sensor" (1996, SPIE Proceedings, vol. 2839), "A Hybrid Fiber Optic temperature sensor based on internal effect principle" (1993, SPIE Proceedings, vol. 1952), "A Partnership in Engineering Education: A K-12 Initiative" (2005, ASE New England Section Annual Conference), and a chapter on "Light Guides" in Magill's Survey of Science (1991). These publications highlight his expertise in optical technologies and collaborative engineering education programs, influencing curriculum development and sensor applications in electrical engineering.
