Ashraf Uz Zaman is an Associate Professor and Senior Researcher at Chalmers University of Technology, affiliated with the Antenna Systems research group. His work focuses on advanced antenna design for millimeter-wave applications, particularly in 5G/6G wireless backhaul, automotive radar, and high-frequency communication systems. Current Role: Associate Professor in Antenna Systems, Chalmers University of Technology Research Themes: Gap waveguide technology, millimeter-wave antenna arrays, 5G/6G networks, automotive radar systems, and high-efficiency microwave components His recent publications highlight innovations in compact and high-efficiency antenna systems using gap waveguide technology, with applications in SATCOM, 5G backhauling, and automotive radar operating in E-band, Ka-band, and D-band frequencies. Key trends include dual-polarization capabilities, single-layer feeding networks, and mechanical co-design for beam-tracking functionality. Notable contributions include the development of ultra-wideband slot arrays, low-loss power dividers, and reconfigurable phase shifters for 100 GHz+ applications. Collaborations span institutions and industries, particularly in Sweden and Japan.
Jian Yang is a Professor in the Antenna research group at Chalmers University of Technology. His work focuses on advanced antenna systems, particularly gap waveguide technology, millimeter-wave communication, and high-performance antenna arrays for 5G and automotive radar applications. Recent publications highlight innovations in circular polarization, beam steering, and decoupling techniques for D-band and E-band systems. Email: jian.yang@chalmers.se His research spans from Ka-band satellite communications to ultra-wideband (UWB) antenna design, with a strong emphasis on practical implementation and mechanical-electrical co-design. Scientific contributions include novel transitions, power dividers, and metasurface applications for sidelobe reduction.
Ove Edfors is a Professor at the Department of Electrical and Information Technology, Lund University, affiliated with the Faculty of Engineering (LTH). His primary research focuses on radio systems, statistical signal processing, and massive MIMO technologies. He is a core member of the LTH Profile Area: AI and Digitalization and the LU Profile Area: Natural and Artificial Cognition. Edfors leads the NEXTG2COM Vinnova Competence Centre and contributes to ELLIIT initiatives. His research spans multi-carrier systems, low-complexity algorithms, and wireless communication applications. Key projects include 6G radio testbed development and millimeter-wave channel characterization. He has co-authored over 225 publications and supervised 22 graduate students. Notable achievements include the IEEE Signal Processing Society Donald G. Fink Award (2023) and the IEEE Communications Society Best Tutorial Paper Award (2018). Recent work emphasizes indoor localization via multi-sensor fusion (LuViRA Dataset) and energy-efficient MIMO processors. Active collaborations involve global institutions and industry partners in 5G/6G infrastructure. Edfors' contributions align with UN SDGs for affordable and clean energy (Goal 7) through energy-efficient wireless systems and innovation (Goal 9).
Nutapong Somjit holds dual academic roles as an Associate Professor in the School of Electronic and Electrical Engineering at the University of Leeds and an adjunct faculty member in the Micro and Nanosystems Department at KTH Royal Institute of Technology, Sweden. His career includes a research leadership position at TU Dresden and a Doctoral Research Award from IEEE in 2012. Specializing in high-frequency components and sustainable microsystems, his work emphasizes innovative fabrication techniques and MEMS integration. He has received over a dozen awards, including the 2009 EuMIC Best Paper Award and editorial roles in IET Electronics Letters. Education: MSc (Dresden University of Technology, 2005), PhD (KTH, 2012) Awards: 6 major honors including IEEE fellowships and chair positions at international conferences Research focuses on next-gen RF systems, with 15+ peer-reviewed articles since 2006. Key innovations include 3D-printed antennas, cost-effective MEMS phase shifters, and high-aspect-ratio TSV fabrication using magnetic assembly techniques. His work bridges microfabrication scalability with practical high-frequency applications. Grants: Not explicitly stated in provided text Labs: Leads research teams at both Leeds and KTH focusing on millimeter-wave and nanoscale systems
Mingzheng Chen is a Post-Doctoral Researcher at KTH Royal Institute of Technology's Division of Electromagnetic Engineering and Fusion Science, specializing in advanced antenna systems and waveguide technologies for terahertz and millimeter-wave applications. His research program centers on three interconnected pillars: quasi-optical structures for beamforming, periodic electromagnetic structures (particularly glide-symmetric holey configurations), and additive manufacturing of metal RF components. This focus enables lightweight, low-cost solutions for satellite communications and next-generation wireless systems, with experimental validation forming a critical component of his methodology. Analysis of his 15 most recent publications reveals dominant themes in W-band and sub-THz antenna design (7 papers), additive manufacturing techniques (6 papers), and waveguide physics (5 papers), demonstrating consistent innovation in geodesic horn antennas and glide-symmetric structures across both journal and conference venues. Award recognition includes: 2023 Best Paper Award from National Science Review Best Paper Award at MTTW 2023 As an active educator, he serves as Teaching Assistant for Applied Antenna Theory (EI2400) while maintaining prolific output (50+ publications). His collaborative network spans European institutions, with particular emphasis on experimental validation of theoretical models. Current research leverages KTH's advanced manufacturing facilities for metal-only RF component development, targeting applications in geostationary satellite communications and 6G infrastructure.
Andreas Fhager is an Associate Professor in Biomedical Electromagnetics at Chalmers University of Technology, where he leads the research group of the same name. His work focuses on developing microwave-based imaging diagnostics for breast cancer, stroke, and other biomedical applications, encompassing system design, signal processing, electromagnetic modeling, and optimization. He co-founded Medfield Diagnostics AB to commercialize microwave diagnostic equipment, demonstrating strong translational research capabilities. His research centers on biomedical electromagnetics with emphasis on microwave imaging for medical diagnostics. Key areas include breast cancer detection through tomographic systems, stroke diagnosis using ultra-wideband technology, and traumatic injury monitoring via wearable devices. He develops advanced electromagnetic models, optimization algorithms, and signal processing techniques to improve diagnostic accuracy while reducing hardware complexity. His work bridges theoretical innovation with practical clinical applications, particularly targeting prehospital care settings where rapid diagnosis is critical. Analysis of his recent publications (2021-2025) reveals three dominant trends: hardware simplification (reducing transmission channels, frequency points, and system components), noise/multipath mitigation (using lossy gels, dielectric antennas, and asymmetry detection), and clinical translation (wearable abdominal injury monitors, stroke triage tools, and muscle rupture diagnostics). His research increasingly focuses on real-world implementation, with studies using porcine models and phantom testing to validate systems for emergency medical applications. No scientific awards were mentioned in the provided text. Fhager co-founded Medfield Diagnostics AB, indicating active engagement in research commercialization and likely related grant acquisition. While specific grants aren't detailed, his leadership of a research group and extensive publication record suggest successful funding from sources like the Swedish Research Council or EU programs. He teaches Electromagnetic Field Theory, Medical Signals and Systems, and Diagnostic Imaging, contributing to academic training in biomedical engineering. His entrepreneurial activity demonstrates effective translation of academic research into medical technology solutions. He leads the Biomedical Electromagnetics research group at Chalmers University of Technology, which develops end-to-end microwave diagnostic systems from electromagnetic modeling to prototype validation. The group's work includes antenna design (e.g., dielectric rod antennas), computational methods (e.g., discrete dipole approximation), and clinical testing (e.g., porcine models for abdominal injuries). Current projects focus on wearable prehospital diagnostics and stroke triage tools, with future directions likely expanding into point-of-care applications and integration with AI-driven analysis.
