Find Academic Supervisors

• Video Quality Assessment
• Telecommunications
• Quality of Service (QoS)
• +5 more

Professor Tadeus Uhl is a faculty member at the University of Applied Sciences Flensburg in the School of Information and Communication. His research focuses on telecommunications, video quality assessment, and Quality of Service (QoS) technologies. He maintains an active research profile with numerous publications spanning from 2017 to 2024. Professor Uhl's research interests center around video quality evaluation, telecommunications technologies, and network performance analysis. His work examines cutting-edge topics including 8-bit and 10-bit MP4 coding, machine learning applications for video quality assessment, and user experience with different video resolutions (1K, 2K, and 4K). He has also conducted significant research on 5G technology, VoIP systems, and Quality of Service in IoT environments. His recent publications show a clear trend toward video quality assessment using modern machine learning techniques, with a focus on real-world streaming services like Netflix. His work bridges theoretical network performance concepts with practical applications in video streaming, cellular networks, and offshore communication systems. Professor Uhl has made substantial contributions to understanding Quality of Service parameters across various communication technologies, from traditional VoIP systems to modern IoT networks and offshore wind farm communications infrastructure. His research has been published in notable venues including IEEE conferences, the Journal of Telecommunications and Information Technology, and various scientific journals focused on telecommunications and multimedia technology.

Andreas HennigView profile

Professor

• Biomedical Sensors
• Wireless Sensor Networks
• Inductive Sensing
• +4 more

Prof. Dr. Andreas Hennig is a Professor of Medical Sensor Systems at the Institute of Measurement and Sensor Technology, Ruhr West University of Applied Sciences since 2022. He serves as Program Director for the Master's program in Sustainable Health Technologies and previously held leadership roles at Fraunhofer IMS from 2006-2022 as Group Leader for Wireless Sensorics and Program Manager for Sustainable Production. He earned his Master of Science in Electrical Engineering from Bergische Universität Wuppertal (2001-2006) and completed his PhD at the University of Duisburg-Essen (2006-2009) on optimizing transmission methods for implantable telemetry sensor systems. His research pioneers non-contact sensing through inductive techniques, quantum magnetometry, and machine learning for medical diagnostics (neonatal vital monitoring, biomagnetic sensing), Industry 4.0 applications (predictive maintenance, sustainable production), and Smart City infrastructure. Current projects focus on quantum sensors for electromagnetic tracking and inductive methods for industrial process monitoring in steel manufacturing. Publications reveal an evolution from biomedical wireless sensors (2010-2015) toward industrial quantum sensing (2018-2024), with recent work emphasizing microscale electromagnetic tracking and magnetic property evaluation in hot-rolling mills. Prof. Hennig supervises theses on vital parameter monitoring for newborns, quantum biomagnetic sensing, and sustainable industrial process monitoring. He has secured funding for projects including SmartNeonatalCare, GenSATIon-EDGE, INNERVATE, and FabLab collaborations (QuFabLab, QuMiniLabs), demonstrating strong grant acquisition capabilities. He directs the LASIMM research laboratory equipped for PCB prototyping (reflow/SMD assembly), 3D printing, and advanced measurement (Impedance/Network Analyzers). His team comprises six scientific staff members including Anika Nietert, Christine Bremer, and Thomas Thuilot, supporting both academic research and student projects.