The Department of Electrical Engineering & Computer Science (EECS) at the University of Toledo regularly publishes announcements for upcoming Masters thesis and dissertation defenses. These notices keep faculty, staff, peers, and the broader academic community informed about the scholarly work being completed by graduate students. Attendance at a defense is encouraged because it supports the candidate, provides valuable feedback, and celebrates the achievement of earning a graduate degree. Each announcement generally contains the following elements: All defense sessions are open to the university community. For remote participation, a Zoom link is usually provided in the announcement. Faculty members who wish to serve on a committee should contact the Graduate Program Coordinator at eecsgrad@utoledo.edu. Students are encouraged to inform their advisors of any special accommodations needed for the defense. The defense is the final formal examination of a graduate students research. It serves several key purposes: Graduate students preparing for their defense can consult the following resources: The department maintains an online archive where PDFs of completed theses and dissertations are stored. Interested readers can explore past work to learn about the breadth of research in areas such as power systems, embedded computing, signal processing, and machine learning. University of Toledo Electrical Engineering & Computer Science
Masters Thesis & Dissertation Defense Announcements
Purpose of the Announcement
Typical Content of a Defense Announcement
Sample Announcement
Student Emily R. Gonzales Program M.S. Electrical Engineering Thesis Title Adaptive Control Strategies for LowVoltage DC Microgrids Date & Time Wednesday, June10,2026 2:30PM Location EECS Graduate Seminar Room, Engineering Hall, 2nd Floor Committee Dr. Samantha Lee (Chair, EECS) Internal
Dr. Mark Davis (Electrical Engineering) Internal
Dr. Ana Patel (Mechanical Engineering, University of Michigan) External Abstract The dissertation investigates distributed control algorithms that enable stable operation of lowvoltage directcurrent (LVDC) microgrids under variable load and generation conditions. Using a combination of modelbased design and realtime hardwareintheloop testing, the work demonstrates a novel adaptive gainscheduling approach that improves power quality while reducing reliance on centralized supervision. RSVP / Contact Please register via the EECS Events page.
Email: egonzales@utoledo.edu How to Attend
Importance of the Defense Process
Resources for Candidates
Archive of Past Defenses
