معرفی
Jonas Brusokas works as a researcher at the Department of Computer Science, Technical Faculty of IT and Design, Aalborg University. His research focuses on the intersection of Machine Learning, Internet of Things, and Energy Systems, particularly addressing energy flexibility and data compression challenges for IoT applications.
Key research areas include time-series forecasting for energy systems, error-bounded lossy compression techniques, and data-driven modeling of heat pumps. His work is applied in smart energy grids, medical imaging, and extreme-scale computing environments.
Recent publications highlight trends in device-independent flexibility measurement, model confidence-based forecasting, and IoT data compression for machine learning platforms. Collaborations span energy engineering, computer science, and medical imaging domains.
Jonas has contributed to 8 peer-reviewed publications since 2019, with projects like Machine and Deep Learning for Flexible Energy (2020–2023) as Principal Investigator. His research involves partnerships with institutions in Denmark, Singapore, and Greece.
