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Michael Kleemann is an Associate Professor at the Faculty of Engineering Technology within KU Leuven , affiliated with the Department of Electrical Engineering (ESAT) . His research focuses on Power System Protection , Wireless Power Transfer , and Renewable Energy Integration , with a particular emphasis on inverter-based grid dynamics and fault analysis. Key Research Areas : Power system protection algorithms, capacitive wireless power transfer, fault location methods in medium voltage cables, and grid stability with high renewable penetration. Notable Projects : Lead projects on Protection of Future Distribution Grids (2021-2025), Capacitive Wireless Power Transfer (2020-2024), and Flux 50 ICON (2024-2026) for low-voltage DC grid protection. Publication Trends : Recent work explores capacitive wireless power transfer materials and control systems (2024-2025), fault detection algorithms for inverter-dominated grids (2023-2025), and machine learning applications in voltage regulation for photovoltaic-rich networks (2024). Teaching : Courses include Power System Protection (JPI322), Power Electronics (JPI0L8/JPI318), and Capacitive Wireless Transfer topics in graduate seminars.

• Power System Protection
• Power Electronics
• High Voltage Engineering
• +4 more

Peter Karsmakers serves as Associate Professor at KU Leuven's Department of Computer Science within the Faculty of Engineering Technology, based at the Geel Campus. He coordinates the Declarative Languages and Artificial Intelligence (DTAI) research group and holds leadership roles including coordinator of Research and Education for Computer Science across Geel and Diepenbeek Campuses. Karsmakers earned his PhD in Engineering Science in May 2010, focusing on kernel-based learning algorithms for sparse modeling and efficient predictions from large datasets. His doctoral work established foundations for his current research trajectory in resource-constrained machine learning systems. His research integrates machine learning with signal processing for real-time sensor data interpretation, specializing in anomaly detection from acoustic, radar, and accelerometer signals on embedded devices. Current projects address industrial condition monitoring, elderly care systems, and livestock facility monitoring through three main tracks: acoustic monitoring (e.g., SINS, WATCHDOG), radar-based systems (e.g., FARADAY, NextPerception), and smart electronics for power converters. Recent publications demonstrate strong trends in constraint-guided deep learning architectures for industrial applications, cross-environment robustness in sensor systems, and domain-knowledge integration to reduce data requirements. His work consistently bridges theoretical machine learning with practical implementations in resource-constrained environments. No scientific awards or fellowships were mentioned in the provided materials. Karsmakers supervises over 10 master's theses annually and coordinates a research team of 10 PhD students and a post-doc within DTAI-ADVISE. He has secured approximately 2.3 million euros in funding through VLAIO, EU-ECSEL, and bilateral industry contracts, including 10 active projects such as AutoEdgeML (2024-2028) and Fault Tolerant Neural Networks for Space Applications (2024-2027). He leads the DTAI-ADVISE research group focused on developing software that attaches semantics to sensor data on resource-constrained devices. The team operates across multiple campuses with specialized labs for acoustic monitoring (Geel), radar-based systems (in collaboration with ESAT-TELEMIC), and smart electronics (with Electrical Engineering department), maintaining strong industry partnerships with companies in healthcare, manufacturing, and agriculture sectors.

• Machine Learning
• Deep Learning
• Anomaly Detection
• +5 more

Wout Joseph is a Professor in the domain of Experimental Characterization of wireless communication systems at Ghent University (Belgium), where he has been working since October 2009. He is also an IMEC Principal Investigator since 2017. His research is conducted within the wireless, acoustics, environment & expert systems (WAVES) research unit at the Department of Information Technology (INTEC). Dr. Joseph was born in Ostend, Belgium on October 21, 1977. He received his M.Sc. degree in electrical engineering from Ghent University in July 2000. From September 2000 to March 2005 he was a research assistant at the Department of Information Technology (INTEC), where his scientific work focused on electromagnetic exposure assessment around base stations for mobile communications related to health effects. This work led to his Ph.D. degree in March 2005. Professor Joseph's research expertise spans multiple domains within wireless communications and bioelectromagnetics. His primary research interests include electromagnetic field exposure assessment, in-body electromagnetic field modeling, electromagnetic medical applications, propagation for wireless communication systems, IoT, antennas and calibration. He also specializes in wireless performance analysis, industry 4.0 applications, wireless localization, and Quality of Experience metrics. His work is particularly notable for its focus on dosimetric studies in the radiofrequency range, where his research is ranked first in number of peer-reviewed studies. His research has practical applications in wireless network planning, occupational safety, and public health policy related to electromagnetic fields. His extensive publication record (over 886 publications with an h-index of 45 in ISI Web of Science and 66 in Google Scholar) demonstrates a clear trajectory from fundamental electromagnetic field measurements to applied research in industrial wireless networks and bioelectromagnetic applications. Recent work shows a strong emphasis on 5G exposure assessment across multiple European countries, millimeter-wave channel modeling, and the application of machine learning techniques to exposure assessment and wireless localization. EBEA council board member (2015-2018) EBEA board member at large (2019) Bioelectromagnetics Society board member (2022) Bioelectromagnetics Society board member (2024) 24 research awards Professor Joseph leads significant research efforts in electromagnetic field exposure assessment, with particular emphasis on developing measurement methodologies and computational models for real-world exposure scenarios. His work bridges theoretical electromagnetic modeling with practical applications in wireless communications and bioelectromagnetics. His research group within the WAVES unit is highly active in both theoretical and experimental aspects of wireless communications and bioelectromagnetics, with current projects focusing on 5G exposure assessment across Europe, millimeter-wave channel modeling for data centers and industrial environments, and the development of novel exposure assessment methodologies using advanced signal processing and machine learning techniques.

• electromagnetic field exposure assessment
• in-body electromagnetic field modelling
• electromagnetic medical applications
• +12 more

Jetmir Haxhibeqiri is a Postdoctoral Researcher at Ghent University 's Faculty of Engineering and Architecture , Department of Information Technology. His work focuses on Time-Sensitive Networking (TSN) over wireless systems, WiFi optimization, and Industrial IoT solutions. Key projects: IMEC Postdoctoral Fellowship Collaborations: Jeroen Hoebeke (UGent), Ingrid Moerman (UGent), Xianjun Jiao (UGent) Research Interests : Wireless network coordination, SDN integration for heterogeneous networks, low-latency communication, and machine learning applications in network optimization. Specialized in WiFi-LPWAN coexistence , In-Band Network Telemetry , and Cross-Technology Synchronization . Recent Publications : 2025 work on Wi-Fi-UWB synchronization, 2024 studies on coordinated spatial reuse in WiFi 7, and 2022 research on hardware-efficient PTP clock synchronization. Contributions span from theoretical models to practical implementations in industrial environments. Technical Expertise : Network densification strategies, interference management, and performance evaluation of large-scale wireless deployments. Developed simulation frameworks for LoRaWAN and WiFi TSN, with a focus on ns-3 validation. Education : PhD in Industrial Wireless Communication (2019, Ghent University).

• Wireless Networks
• Time-Sensitive Networking (TSN)
• WiFi and UWB Integration
• +7 more

Dongyang Yan is a PhD researcher affiliated with the Faculty of Engineering in Belgium. They specialize in advanced power amplifier designs and semiconductor technologies for high-capacity wireless communication systems. Research Interests : Power amplifiers, Doherty/differential amplifier architectures, CMOS/SOI semiconductors, 5G/mm-wave applications, and RF integrated circuits. Recent Publications (2020–2024): Contributions to microwave theory, GaN/InP HBT technologies, and Doherty amplifier innovations for 5G systems. Their work involves collaborations with international experts in wireless communication and semiconductor technologies, as evidenced by co-authorships in IEEE conferences and journals.

• Power Amplifiers
• Doherty Amplifiers
• Differential Amplifiers
• +3 more

Ingrid Moerman is a part-time Professor at Ghent University and a staff member at the Internet Technology and Data Science Lab (IDLab), a core research group of imec embedded within Ghent University and the University of Antwerp. She coordinates mobile and wireless networking research and leads a team of over 30 researchers at Ghent University, with extensive involvement in European and national funding initiatives. She received her Electrical Engineering degree (1987) and Ph.D. (1992) from Ghent University. Her research spans collaborative networks, cognitive radio, software-defined radio, IoT, LPWAN, and high-density wireless access, emphasizing experimentally-supported development of next-generation wireless systems with practical implementations in spectrum management and real-time control. Recent publications (2024-2025) reveal a strong pivot toward AI-integrated wireless networking, featuring OFDMA scheduling innovations, Wi-Fi 6/7 interference mitigation, and time-sensitive networking for industrial applications. Key trends include 5G/6G convergence, vehicular communication enhancements, and digital twin frameworks for network observability, reflecting her focus on mission-critical industrial use cases. Her accolades include: 9 Best Paper Awards 2 FWO Prizes (Research Foundation - Flanders) IMEC Prize of Excellence 2001 MSc Thesis Award (as promoter) Best Demo/Exhibit Award at ICT 2013 DARPA Spectrum Collaboration Challenge Prize ($750,000) She has coordinated major EU projects (FP7/H2020: CREW, WiSHFUL, eWINE, ORCA) with industry partners, securing substantial funding for experimental wireless research. Her grant portfolio emphasizes collaborative innovation in spectrum sharing and neutral-host architectures for multi-operator environments. At IDLab, she directs advanced wireless testbeds supporting real-world validation of technologies like openwifi and White Rabbit, with active experimentation in time-sensitive networking and spectrum collaboration for industrial IoT deployments.

• Wireless Networking
• Cognitive Radio Networks
• Internet of Things
• +4 more

Arjen Mentens is a Researcher at the Faculty of Engineering Sciences of Vrije Universiteit Brussel, affiliated with the MOBI - Electromobility Research Centre . His work spans lighting technology, vehicular communication, and light pollution mitigation. Key Research Areas : Lighting Technology, Visible Light Communication, Safety Engineering, Light Pollution. Recent Projects : Light it up – MERLIN BASE (2025), MAGIC WITH LIGHT – MERLIN BASE (2024). Collaborations : Regularly works with Valéry Ann Jacobs, Guillaume Dotreppe, and Peter Van Den Bossche. Research Trends : Focused on balancing safety and sustainability in lighting design, with recent emphasis on vehicular VLC channel models and ecological impacts of artificial light. Presentations : Delivered talks at the Electric Vehicle Symposium (2024) and Science Festival Brussels (2024).

• Lighting Technology
• Electric Vehicles
• Light Pollution
• +3 more

Jan Coosemans is a Researcher at Vrije Universiteit Brussel's Faculty of Engineering Sciences, working within the Electrical Engineering-Power Technology department and MOBI - Electromobility Research Centre. His research focuses on photonics and optoelectronics with specialization in Single-Photon Avalanche Diodes (SPADs) and optical data communications systems. His research interests span Photonics , Optoelectronics , Single-Photon Avalanche Diodes (SPADs) , Fluorescence Lifetime Imaging , Visible Light Communication , and Vehicular Communication . His work bridges theoretical photonics with practical applications in optical wireless communications and vehicular networks. His recent publications (2024-2025) demonstrate a strong focus on optical communication systems, particularly vehicular visible light communication and SPAD-based technologies. These works reveal trends toward practical implementations of photonics in real-world communication scenarios, with emphasis on signal processing, noise reduction, and channel modeling for automotive applications. Coosemans is actively involved in multiple research projects including: IOFPOC64: A robust bidirectional optical data communication system based on single-photon avalanche diodes (2024-2026) BRGEOZ442: ILSF 2024 - MAGIC WITH LIGHT – MERLIN BASE (2024) OZR3836: Research on the potential of single-photon detection in digital optical communication (2021-2022) He participated in the I Love Science Festival in October 2024 as an advisor, demonstrating his engagement with science communication. His research is conducted primarily through the MOBI - Electromobility Research Centre at VUB, where he collaborates with researchers like M. Kuijk, V.A. Jacobs, and others on cutting-edge photonics applications.

• Photonics
• Optoelectronics
• Single-Photon Avalanche Diodes (SPADs)
• +3 more

Gerd Vandersteen is a Professor at the Vrije Universiteit Brussel (VUB) in the Department of Electronics and Informatics within the Faculty of Engineering. He serves as part-time Director (30%) of the Doctoral School of Natural Science and (Bio)Engineering (NSE) at VUB. His career spans academic research and industry collaboration, with significant contributions to nonlinear systems analysis and RF circuit design. His research interests focus on Nonlinear Systems Analysis , RF Circuit Design , System Identification , and Microwave Engineering . Vandersteen combines theoretical expertise in modeling nonlinear systems with practical experience in analog and RF design. His work emphasizes simulation-based analysis techniques, particularly using the Best-Linear-Approximation method for nonlinear system characterization. Vandersteen's publication record shows consistent output with 363 research outputs, including 103 articles and 164 conference papers. His recent work spans diverse areas from Arabic language processing to advanced RF measurement techniques, demonstrating interdisciplinary reach while maintaining core expertise in electronic systems. Key trends include nonlinear distortion analysis, frequency response characterization, and system identification methodologies. Best Paper Award (2002) Best Paper Award for 'Synchronizing modulated NVNA measurements on a dense spectral grid' (2012) IEEE Senior Member (2007) IEEE Instrumentation and Measurement Society Outstanding Reviewer (2014) As an educator, Vandersteen teaches CAE tools for electronic design, microwave design, and telecommunication techniques at VUB. He mentors PhD students through the international spring school on system identification and modeling techniques. His research is supported by multiple active projects including SRP78 (Center for Model-Based Systems Improvement), HERC61 (110 GHz real-time oscilloscope development), and VLOV106 (Flemish AI Academy establishment).

• Nonlinear Systems Analysis
• RF Circuit Design
• System Identification
• +5 more

Dr. Alexander Bertrand is a Professor at the Faculty of Engineering Sciences , KU Leuven, heading the Dynamic Systems, Signal Processing and Data Analysis (STADIUS) division. He leads the Department of Electrical Engineering (ESAT) and contributes to Leuven.AI institute, with expertise spanning wireless sensor networks, brain-computer interfaces (BCI), and biomedical signal processing. Research Focus : Wireless acoustic/EEG sensor networks, distributed signal enhancement, adaptive filtering, neural decoding of auditory/visual attention, and AI-driven time series analysis. Key Projects : EEG-Linx platform for modular brain recordings (2025-2027) Calibration-free BCI systems (2025-2029) AI quality assessment for time series data (2024-2028) Wireless EEG patches for hearing technology (2024) Publications (2023-2025) demonstrate leadership in distributed signal processing , auditory attention BCI , and scalable sensor architectures , with applications in education, healthcare, and wearable tech. Teaching includes courses on digital signal processing, biomedical data analysis, and medical technology design.

• Wireless Sensor Networks
• Brain-Computer Interfaces (BCI)
• EEG Signal Processing
• +4 more

Jean-Marc François is a former Researcher at the Research Unit in Networking (RUN) within the Faculty of Applied Sciences at the University of Liège (ULg). He currently works at Google. He holds an Ir. in Computer Science (1999, ULg), an Ms. in Applied Computer Science (2004, ULg), and a Dr. in Computer Engineering (2007, ULg). His research focuses on mobility prediction in wireless and disruption-tolerant networks, Quality of Service (QoS), and routing protocols, leveraging techniques like Hidden Markov Models (HMM) and information theory. His work spans theoretical analysis and practical applications, including studies on AP-centric vs. MN-centric mobility prediction, entropy-based knowledge spreading, and DTN routing optimization. His publications address challenges in network reliability, protocol design, and mobility trace analysis. He has contributed to conferences like IFIP Networking, ACM CoNEXT, and WiOpt, as well as journals like Ad Hoc Networks. No scientific awards are explicitly mentioned in the provided text. His research was conducted within the Montefiore Institute, part of RUN, and involved collaborations with colleagues like G. Leduc and S. Martin. No advising roles or grants are detailed here.

• Computer Networking
• Wireless Networks
• Mobility Prediction
• +3 more

Thibaut Vandervelden is a Researcher at Vrije Universiteit Brussel's Faculty of Engineering, Department of Electronics and Informatics. His work focuses on hardware security, embedded systems, and cryptographic implementations for resource-constrained environments. With an h-index of 4, he has produced significant research output since 2019, primarily in Sensors, IEEE Access, and Future Generation Computer Systems. His research interests center on practical security implementations for IoT devices and embedded systems, with particular expertise in Rust programming for secure embedded development, cryptographic protocol optimization, and network security for low-power wireless networks. His work bridges theoretical security concepts with practical implementation challenges in constrained environments. Analysis of his recent publications reveals a strong trend toward secure embedded systems development, with increasing focus on Rust programming language applications, zero-knowledge proofs for privacy-preserving systems, and optimization of cryptographic operations for IoT devices. His research demonstrates consistent collaboration with colleagues including Ruben De Smet, An Braeken, and Kris Steenhaut. Scientific recognition includes: IACR RWC'21 Cryptohackathon on Functional Encryption: 2nd prize (2021) Vandervelden actively participates in research community building through organizing workshops like RustIEC and presenting at events focused on embedded systems security. His work has been referenced in Wikipedia pages and garnered attention across academic and professional platforms, with media contributions on cybersecurity research in Flanders. He leads and participates in research teams focused on wireless community development and the Internet of Batteryless Things, contributing to both theoretical frameworks and practical implementations in hardware security.

• Hardware Security
• Internet of Things
• Embedded Systems
• +5 more

Piet Wambacq is a professor at the Department of Electronics and Informatics, Vrije Universiteit Brussel. He is actively engaged in research and development across analog and digital integrated circuit design, with a focus on 6G applications and biomedical technologies. Research Interests Analog and mm-Wave IC design CMOS circuit and device technology co-design High-efficiency power amplifiers and low phase noise oscillators Silicon photonics and biomedical equipment Research Output Trends His recent publications emphasize 6G wireless communication, high-frequency analog circuits, silicon photonics reliability, and biomedical signal processing, with significant contributions in gallium nitride (GaN) and III-V semiconductor technologies. Advising and Projects Wambacq supervises PhD students and collaborates on projects like FWOSB180, FWOSB181, and IOF3016, addressing future health technologies and advanced communication systems.

• Analog Integrated Circuit Design
• Millimeter-Wave Integrated Circuit Design
• CMOS Circuit Design
• +7 more

Sofie Pollin is a Professor at KU Leuven's Department of Electrical Engineering (ESAT), affiliated with the Faculty of Engineering Science. She leads research in wireless systems and networked systems, focusing on 5G/6G technologies, Massive MIMO, cell-free communication, and non-terrestrial networks. Her work includes integrating communication and sensing, mmWave/THz systems, and sustainable electronics. She holds positions in Leuven One Health and LUSI Urban Studies Institute. Dr. Pollin earned her PhD in 2006 (with honors) from KU Leuven on cross-layer optimization for wireless systems, followed by post-doctoral research at UC Berkeley. She previously served as principal scientist at imec Leuven, working on cognitive radio and software-defined radio for LTE/WLAN standards. Her research has produced numerous publications and collaborations globally. Her current projects span spectrum analytics, machine intelligence in radio access, 6G resource clustering, and resilient healthcare networks. She actively promotes diversity as a faculty diversity promoter and leads initiatives through FITCE.be. Research interests prominently feature aerial networks, integrated ISAC (sensing/communication), and battery-less IoT. Recent work emphasizes mmWave VR systems, light-RF energy harvesting, and radar-based health monitoring. Her publications address technical challenges in beamforming, interference cancellation, and 6G testbed development.

• Wireless Communication
• 5G and Beyond Networks
• Massive MIMO
• +7 more

Daniel Hughes is an Associate Professor in the Department of Computer Science at KU Leuven's Faculty of Engineering Science, affiliated with the Distributed and Secure Software (DistriNet) research unit. He serves on the Social and Societal Ethics Committee and Faculty Council as senior academic staff. His research focuses on distributed systems, computer networks, and embedded IoT technologies, with emphasis on wireless communications security, energy harvesting, and low-latency control networks for industrial applications. Current work addresses constraints in dynamic environments through phase-coherent networking and capability-adaptive edge platforms. Recent publications analyze sustainable battery-free energy harvesting and flexible hardware platforms for smart environments, reflecting his dual focus on theoretical frameworks and practical embedded implementations. Projects like SwarmNET demonstrate applications in robotics control and 6G testbed development. He teaches Software for Embedded Systems (H04L2A), Real-Time Control (H09J9A), Industrial Internet Infrastructure (H04I0A), Computer Networks (G0Q43A), and Distributed Systems (H04G7A), integrating research insights into curriculum design.

• Distributed Systems
• Computer Networks
• Embedded Systems
• +4 more