معرفی
Frida Heskebeck is a Doctoral student at the Department of Automatic Control, Lund Institute of Technology, Lund University, and a member of the LTH Profile Area: AI and Digitalization. She actively contributes to the research group on EEG-based Brain-Computer Interfaces (BCI) led by Prof. Bo Bernhardsson.
- Research Focus: Optimization of next-generation BCI using cloud computing and individualization of real-time systems.
- Teaching: Delivers lectures, webinars, and lab sessions for courses like Process Control and Systems Engineering (2024), Physiological Models and Computations (2023), and Automatic Control (2021, 2020).
- Awards: Recipient of the Pedagogical Prize for best teaching assistant in 2021 (M-guild and W-guild) and Best Master's Thesis in 2020.
Research Trends: Her recent articles focus on BCI calibration, real-time control, and cloud integration. Broad keywords include Control Engineering, Machine Learning, and Neuroscience, with sub-fields like Domain Adaptation, Signal Processing, and Online Teaching.
Scientific Distinctions:
- Teaching assistant of the year (awarded by the M-guild) 2021
- Teaching assistant of the year (awarded by the W-guild) 2021
- Best Master's Thesis 2020
Advising and Collaborations: Supervision of master's theses for Tom Andersen (2021) and Johanna Wilroth (2020), where the latter received a scholarship. She also held roles in the department's board and organized seminars like the AI Lund lunch seminar in 2024.
