Course detail

Welcome to Artificial Intelligence and Advanced Data Analytics for Power Electronics

Description:

Artificial intelligence (AI) has significantly revolutionized research activities and industrial applications in image processing and natural language processing. Likewise, the synergy of power electronics and computer science is expected to unleash great potentials in power electronic systems as well with their transition towards data-rich ones. From the power electronics perspective, this course aims to focus on two essential aspects of this interdisciplinary field, i.e., artificial intelligence and advanced data analytics. It is organized

following a typical pipeline when implementing data-driven solutions in power electronics, ranging from the initial data collection to the final decision-makings. As a 3-day course, it includes fundamentals, tools, applications, hands-on exercises, and outlook, which are specifically tailored for power electronic applications. Combining with several case studies

where AI has shown great benefits, the attendees are expected to establish solid foundations and skills of AI and data analytics to address core challenges in data-driven applications in power electronics.

Organizer:

• Professor Huai Wang
• Assistant Professor Shuai Zhao

Lecturers:

• Professor Huai Wang
• Assistant Professor Shuai Zhao
• Professor Huai Wang AAU Energi, Assistant Professor Shuai Zhao AAU Energi,
• Assistant Professor Mateja Novak AAU Energi, Associate Professor Subham Sahoo AAU Energi

ECTS: 3 

Date: 22, 23, 24 april 2026

Place: TBA 

City: Aalborg

Number of seats: 30

Deadline: 31 March 2026

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at phdcourses@adm.aau.dk When contacting us please state the course title and course period. Thank you.