UROP Project
AI based Power Electronics System Status Estimation
Renewable, energy, electrical engineering
Research Mentor: Yuan Li, YuAnn
Department, College, Affiliation: FSU Department, FAMU-FSU College of Engineering
Contact Email: yuanli@eng.famu.fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: FSU Department, FAMU-FSU College of Engineering
Contact Email: yuanli@eng.famu.fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Electrical Engineering, Computer Engineering
Project Location: FAMU-FSU College of Engineering, and Center for Advanced Power Systems
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 10, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Not participating in the Roundtable
Number of Research Assistants: 2
Relevant Majors: Electrical Engineering, Computer Engineering
Project Location: FAMU-FSU College of Engineering, and Center for Advanced Power Systems
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 10, Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Roundtable Times and Zoom Link: Not participating in the Roundtable
Project Description
Power electronics system controls and converts electrical energy from one form to another, which are commonly found in various industries, such as renewable energy, power system, transportation, industrial automation, telecommunications, and more. The technology enables efficient energy conversion, voltage regulation, and power management, etc. This project will develop new AI based data-driven method to estimate power electronics system status for automatic control and prognosis.Research Tasks: Literature review, data collection and analysis.
Skills that research assistant(s) may need: Coding skill is recommended.
Mentoring Philosophy
My mentoring philosophy centers around the following principles:Experiential Learning: Hands-on experience is invaluable in engineering. I prioritize providing opportunities for mentees to engage in real-world projects, experiments, and research to bridge the gap between theory and practice.
Critical Thinking: STEM disciplines demand critical thinking and analytical skills. I encourage mentees to question, analyze, and approach problems from multiple angles, fostering independent and innovative thinking.
Inclusivity and Diversity: I am committed to creating an inclusive environment where individuals from various backgrounds, women or underrepresented students feel welcome, respected, and valued.
Mentee-Centric Approach: Recognizing that every mentee has unique goals and needs, I tailor my guidance to their individual aspirations, whether it's pursuing academia, industry, entrepreneurship, or a hybrid path.
Interdisciplinary Thinking: Many of the most significant breakthroughs occur at the intersections of different disciplines. I encourage mentees to explore interdisciplinary connections of power, energy, computer technology and embrace the diversity of knowledge.
Communication Skills: Effective communication is essential in research, whether presenting research findings, collaborating on a project, or explaining complex concepts. I support mentees in honing their communication skills.