Dr. Segee’s research is focused in the area of instrumentation, industrial automation, and computer control of machinery. He has considerable experience with teaching and research in the areas of artificial neural networks, fuzzy logic, instrumentation, networking, and factory automation. He has performed research in the application of artificial neural networks and fuzzy logic to the problem of gas sensor array calibration. This work has been funded by agencies such as NSF, NASA, ONR, EPA, and USDA. Other work includes the development of intelligent instrumentation for the VXI bus, networked communication in hostile environments using power line communication, and large scale factory automation. A large portion of Dr. Segee’s work has been industrially sponsored research and development. Recent work involves the gathering of production data from factories in two locations, processing the data, and providing dynamic web pages for viewing and manipulating the data. Dr. Segee’s laboratory, is the Instrumentation Research Laboratory.
Dr. Segee is the co-author of a graduate level textbook on microprogramming and computer architecture. He teaches undergraduate and graduate courses in Microprogramming, Computer Architecture, Hardware Applications of C, and Industrial Computer Control. He is also the Co-Op coordinator for the department. The Co-Op web page can be found here.
Dr. Segee is a member of IEEE, ASEE, Tau Beta Pi (Engineering Honor Society), Eta Kappa Nu (Electrical Engineering Honor society), and a full member of Sigma Xi (Scientific Research Honor Society). In 1994 he received the University of Maine College of Engineering Outstanding Young Faculty Teaching Award. in 1995 he received the University of Maine College of Engineering Outstanding Young Faculty Research Award.
Instrumentation, industrial automation, and artificial neural networks.