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Bobby Compton

Adjunct Professor in the Engineering Graduate and Professional Programs
Engineering Graduate and Professional Programs

Teaching Summary


DUKE UNIVERSITY
Present -
Teaching EGRMGMT 590.xx Advanced Topics - Clean Energy Practicum.
This new course was developed in collaboration with a leading global energy consulting company  The course teaches students practical engineering, economic and environmental opportunities and challenges for cleaner energy transition.  It provides the opportunity to work on a real-world energy transition capstone project utilizing the Wood, plc. Decarbonization SCORE methodology.  (Substitute, Capture, Offset, Reduce & Evaluate)

Past -
Mentored/Advised students in 2023 Summer Virtual Internship Master of Engineering Management Projects in Electronics Product Management and Agricultural Clean Energy projects with companies. 

Mentored sections of EGRMGMT 556, Industry Practicum in the Masters of Engineering Management program. Guided students to solve challenging business consulting problems from industry sponsors.  Project examples:  assessing construction industry mergers & acquisitions, AI product marketing strategies, optimizing pharmaceutical supply chains, and identifying space commercialization best practices.

NC STATE UNIVERSITY
Past - Taught ECE484 & ECE485 courses in Electrical and Computer Engineering Sr Design Program.  Coursework included Electronics & Embedded Systems Design, IoT Applications, Medical Device Applications, Machine Learning Applications, RF Design, Cloud Apps, Mobile App Development and Mechanical Design disciplines.

Advising & Mentoring Summary


DUKE UNIVERSITY

Dissertation Committee Member and Research Advisor

 

Ph.D. students in microfluidic systems, CAD optimization algorithms, and electronics design for biomedical device applications.

 


Mentoring
Summer Internship Practicum, Tech Re-imagined, Managing Product Development Course


NC STATE UNIVERSITY

NC State Dissertation Committee Member and Research Advisor                                                     
SiC power electronics research & Power Electronics Hardware in the Loop Modeling.

Eaton Corporation Research
Machine Learning for UPS Predictive Maintenance, Microgrid Applications, Data Center Backup alongside PV Solar Integration