معرفی
Jan Lundgren serves as a Professor in the Department of Computer and Electrical Engineering (DET) at Mid Sweden University, specializing in signal processing and AI-driven sensor systems. His research spans acoustic sensor arrays, medical diagnostics, and industrial IoT applications.
His primary research interests include:
- Development of acoustic sensor arrays for source localization and medical auscultation
- Machine learning applications in medical diagnostics (skin lesion classification, cardiac sound analysis)
- Industrial IoT systems for timber measurement, snow load monitoring, and surface defect detection
- X-ray imaging systems and noise coupling in mixed-signal electronics
Analysis of his 15 most recent publications reveals a strong focus on interdisciplinary applications of signal processing and deep learning, particularly in medical diagnostics (35% of works) and industrial sensor systems (40%). Key trends include uncertainty-aware AI models (2023-2025) and multi-channel acoustic processing (2024-2025).
Lundgren actively collaborates with researchers across Europe on projects including DSS-oral (digital oral healthcare) and IRS TransTech (transformative technology). His work demonstrates consistent funding through Swedish research councils and EU programs focused on industrial digitalization.
He leads research within the STC Research Centre, focusing on sensor technology and instrumentation. Current projects emphasize real-world deployment of AI-enhanced sensor systems in healthcare and industrial settings, with particular attention to measurement uncertainty and system robustness.