Prof. Dr. Selcuk Paker is a faculty member at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University. His research spans electromagnetic field theory, microwave systems, and telecommunications, with a focus on antenna design, radar imaging algorithms, and bioelectromagnetics. Research Interests : Electromagnetic scattering, inverse scattering, radar systems, SAR imaging, GNSS algorithms, microwave heating, and wireless communication. Recent publications highlight his work in 5G antenna design , radar-based earthquake detection , and biological effects of RF exposure . He contributes to microwave and radar technologies, including applications in structural diagnostics and sensor networks.
Eur Ing Malcolm Macdonald is a Professor of Electronic and Electrical Engineering at the University of Strathclyde. He serves as Director of the Applied Space Technology Laboratory (ApSTL) and the Centre for Signal and Image Processing (CeSIP). Additionally, he holds Visiting Professor roles at University College Dublin's Centre for Space Research and is Vice-Chair of the UK Space Agency's Space Technology Advisory Committee. His expertise spans space mission design, networked systems, and sustainable space technologies, with a focus on democratizing space data accessibility. He contributed to Scotland's first CubeSat and led initiatives like the Scottish Centre of Excellence in Satellite Applications (SoXSA). Research interests include astrodynamics, swarm engineering, and Earth observation, leveraging systems engineering to address global challenges. Notable awards include the 2020 Copernicus Masters Transport Challenge and the 2024 CompleNet Best Poster Award. He advises on over 80 research projects, focusing on satellite constellations, offshore energy monitoring, and space debris mitigation. His work integrates multidisciplinary approaches, emphasizing resilience and innovation in space systems. Labs and teams include ApSTL and CeSIP, where he leads a team of researchers and postgraduate students. Equipment resources include specialized drones and control systems for experimental validation. Collaborations span academia, industry, and government, driving advancements in space technology and policy.
Prof. E.K.A. Gill is a faculty member at the Faculty of Aerospace Engineering , Delft University of Technology (TU Delft) , specializing in Space Systems Engineering . His work focuses on satellite systems, spacecraft autonomy, and space debris mitigation. Academic Rank: Professor Key Affiliation: TU Delft Research Focus: Dr. Gill's research spans satellite communication systems, autonomous space robotics, and space debris risk analysis. He actively explores neural network applications for fault detection and multi-layer optimization strategies for space missions. Recent Trends: GNSS-assisted clock systems for small satellites Key Domains: RF engineering, spacecraft attitude control, debris removal mechanics Scientific Recognition: INCOSE Fellow (2021) - Recognized for contributions to systems engineering in aerospace Collaborations: Maintains extensive international collaborations in space systems research, with a recent focus on miniaturized spacecraft technologies and heterogeneous clock synchronization.
Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.
Jihye Park is an Associate Professor in the Department of Civil and Construction Engineering at Oregon State University's College of Engineering. She specializes in GNSS (Global Navigation Satellite System) positioning/navigation and remote sensing applications, focusing on enhancing system performance in harsh environments and leveraging GNSS for atmospheric monitoring. Her research includes detecting ionospheric disturbances caused by earthquakes, volcanic eruptions, and artificial explosions, as well as developing algorithms for real-time anomaly detection and navigation system improvements. Dr. Park holds a Ph.D. in Geodetic Science and Surveying from The Ohio State University (2012), an M.S. in Geodetic Science and Surveying from the same institution (2010), and prior degrees in Geoinformatics from The University of Seoul (B.S. 2004, M.S. 2006). Her research interests span GNSS remote sensing applications such as monitoring ionospheric anomalies, hurricane-induced rainfall trajectories, and coastal hazards. She also explores GNSS-Reflectometry (GNSS-R) for sea level changes, storm surge monitoring, and climate-related phenomena. Her work emphasizes real-time data processing, machine learning integration, and interdisciplinary applications in disaster response and geophysical monitoring. Dr. Park has contributed to advancements in GNSS accuracy through projects like JPL's GUARDIAN system and studies on the Galileo High Accuracy Service. Her recent work highlights automated detection systems and deep learning approaches for TID (Traveling Ionospheric Disturbance) identification, reflecting her commitment to bridging geomatics with environmental and disaster resilience challenges.
Maaria Nordman is an Assistant Professor at Aalto University's School of Built Environment , specializing in geodesy and its applications to navigation technologies, earth observation, and climate change impacts. Her expertise spans GNSS data accuracy, coastal habitat vulnerability, and geodynamic modeling. Email: maaria.nordman@aalto.fi Phone: +358503533852 Her research combines geodetic techniques with interdisciplinary approaches to address: Non-tidal atmospheric loading corrections in GNSS analysis Coastal adaptation to sea level rise 3D deformation monitoring through geospatial time series Smartphone positioning accuracy enhancements Height system unification via geodetic SAR Recent publications highlight her work in geodynamics and climate science, particularly focusing on the Baltic Sea region. While no formal awards are listed, her collaborative publications demonstrate significant contributions to geodetic research methodologies and coastal resilience studies.
Elmine Meyer is an Assistant Professor in the Electrical Engineering department at Eindhoven University of Technology. Her research focuses on antenna design, millimeter wave technology, and RF engineering. She leads the EM Antenna Systems Lab and EM for Radio Science Lab, contributing to advancements in 5G/6G communication systems and space-based radio astronomy. She holds a PhD in Electrical Engineering from the University of Stellenbosch (2018) and a Bachelor of Engineering from Fairleigh Dickinson University (2013). Meyer's projects include leadership roles in the ANTERRA (6G Non-Terrestrial Networks), INNOSTAR (EM), and MyWave initiatives. She has organized events like the 28th European Microwave Week 2025 and contributed to high-impact research on antenna arrays, 3D-printed RF devices, and pedestal resonators. Her work bridges academic research with industrial applications, emphasizing practical implementations in wireless communication systems. Her research interests span antenna array design, millimeter wave systems, and electromagnetic compatibility. Over 38 citations highlight her contributions to fields like substrate integrated waveguide (SIW) technology and adaptive beamforming. Collaboration networks include institutions globally, particularly in antenna measurement systems and space-based communication technologies.
Dr. Yaguang Zhang is a Clinical Assistant Professor at Purdue University, jointly appointed in the Department of Agricultural & Biological Engineering (ABE) and the Department of Agricultural Sciences Education & Communication (ASEC) . Holding a Ph.D. in Electrical and Computer Engineering from Purdue (2021), he specializes in data science , digital agriculture , and UAV-aided wireless communication systems , with applications in intelligent transportation, proactive road maintenance, and engineering education. Education: Ph.D. and M.Sc. in Electrical and Computer Engineering (Purdue), B.Eng. in Communication Engineering (Tianjin University) Research Interests span cutting-edge domains including: Digital Agriculture: GPS-based field shape generation, product traceability trees, and automated metadata collection for agricultural operations Wireless Communication: Millimeter-wave channel modeling, UAV relay systems, and rural network coverage optimization Smart Infrastructure: Pavement condition assessment tools, sun-shadow simulation for road treatment, and vehicle automation platforms Recent Publications emphasize scalable solutions for agricultural IoT, machine learning in crop monitoring, and interoperable data frameworks. His scientific awards include: 2024 Outstanding Engineering Teacher (Purdue) 2024 ASABE Superior Paper Award 2020 FFAR Student Poster First Prize Multiple NSF/IEEE travel supports Grants from USDA, NSF, INDOT, and industry partners (CableLabs, Nokia) fund projects like tractor autopilot development, rural 6G networks, and pavement monitoring systems. He mentors graduate students in agricultural robotics , data science , and connected vehicle research .
Dr. Paul Thevenon is an Assistant Professor at ENAC (National Civil Aviation School) in Toulouse, France, since July 2013. He holds a Habilitation à Diriger les Recherches (2023) and focuses on GNSS signal processing, integrity monitoring, and hybrid sensor systems. His research integrates advanced algorithms for cycle slip detection, multipath mitigation, and hybrid navigation filters using 5G/ LTE signals. Education: Bachelor's in Electronic Engineering from École Centrale de Lille (2004) Master's in Space Telecommunications from ISAE (2007) PhD in Signal Processing from ENAC (2010) Research Themes: GNSS robustness against malicious signals (e.g., evil waveforms) Multi-receiver systems for RTK positioning enhancement Integration of non-GNSS signals (5G, LTE) for hybrid navigation Factor graph approaches for carrier phase processing Awards: 2023: Habilitation à Diriger les Recherches Technical Contributions: Developed CNN-based multipath detection systems Advanced RTK ambiguity resolution via multi-rover arrays Validated TDCP measurements in low-cost PPP-IMU filters Labs/Teams: Core member of the SIGNAV lab, specializing in signal processing and navigation systems.
Dr. Nghi Tran is a Professor in the Department of Electrical and Computer Engineering at the University of Akron's College of Engineering. His research focuses on communication and information theories, wireless communications, energy-efficient wireless networks, and security. He has published over 160 papers and served as an editor for multiple IEEE journals. Education: Ph.D. in Electrical & Computer Engineering (University of Saskatchewan, 2008) Education: M.Sc. in Electrical & Computer Engineering (University of Saskatchewan, 2004) Education: B.Sc. in Electrical Engineering (Hanoi University of Technology, 2002) Dr. Tran's research spans wireless communication systems, with special emphasis on physical layer security, energy-efficient networks, full-duplex technologies, and channel coding. His work bridges theoretical foundations with practical implementations in next-generation wireless systems. His recent publications (2023-2025) demonstrate expertise in physical layer security, full-duplex antenna design, polar codes for GNSS, and machine learning applications in MIMO systems. Key trends include optimization of wireless networks, robust error correction, and cross-layer security approaches. Scientific Awards: NSERC Postdoctoral Fellowship Professional Recognition: IEEE Senior Member As an ABET coordinator for ECE and frequent journal editor, Dr. Tran contributes to academic leadership. His research has received funding from the US National Science Foundation, Office of Naval Research, Air Force Research Laboratory, and industry partners.
Daniel J. Emmons is an Associate Professor of Physics and Senior Military Faculty at the Air Force Institute of Technology (AFIT), Department of Engineering Physics. His work bridges military applications with fundamental research in space weather and ionospheric physics. Education: Ph.D. in Applied Physics (2017), AFIT M.S. in Applied Physics (2012), AFIT B.S. in Physics (2007), San Diego State University Research Interests: Focus on laser kinetics , plasma chemistry , and ionospheric disturbances . Key areas include sporadic-E layer dynamics, solar flare impacts on radio propagation, and GNSS-based electron density modeling. Recent Publications highlight advancements in: Deep learning for sporadic-E prediction Magnetic field variability in solar flares GNSS radio occultation techniques for ionospheric analysis Solar eclipse effects on ionosphere-thermosphere systems Scientific Awards: 2023 Educator of the Year, Air Education and Training Command 2022 Outstanding Science and Engineering Educator, Department of the Air Force Multiple mentorship and teaching awards (2021) Advising and Collaborations: Co-authored studies with teams from New Mexico Tech, NASA, and the University of Alaska Fairbanks. Led invited talks on space weather impacts and ionospheric monitoring.
Alejandro Kuratomi is an Assistant Professor in Data Science at the Department of Computer and Systems Sciences (DSV), Faculty of Social Sciences, Stockholm University. His academic journey includes a Ph.D. in Machine Learning (2024), M.Sc. in Engineering Design: Mechatronics (2019), and dual B.Sc. degrees in Industrial and Mechanical Engineering (2014). Ph.D., Machine Learning – DSV, Stockholm University M.Sc., Mechatronics – KTH Royal Institute of Technology B.Sc., Industrial Engineering – Universidad de Los Andes B.Sc., Mechanical Engineering – Universidad de Los Andes Kuratomi’s research focuses on Machine Learning Interpretability , Algorithmic Fairness , and Multivariate Time Series Classification , with applications in GNSS error estimation and healthcare decision-making. He develops interpretable models like CRITS and ORANGE to address technical and ethical challenges in AI. His recent work explores Transformer/LLM interpretability , mechanistic explanations , and integer-justified counterfactuals . While no awards or students are mentioned, his publications highlight interdisciplinary efforts combining computer science, ethics, and engineering.
Dr. Saulius Rudys is a Senior Researcher at the Institute of Applied Electrodynamics and Telecommunications (IAET) within Vilnius University, focusing on electromagnetic engineering and aerospace technology. His work bridges material science with UAV detection systems and radar innovation. Research Interests : Antenna design, dielectric spectroscopy, UAV radar systems, microwave material analysis Projects : Led multiple high-budget UAV detection projects including EU-funded initiatives His recent publications analyze electromagnetic properties of advanced materials and develop counter-UAV systems using marine radar and GNSS antenna arrays. Key themes include: Microwave characterization of ferroelectrics and ferrites UAV detection via FMCW radar Physical layer security for aviation systems Scientific awards highlight his impact in aerospace security: DLR Galileo Masters winner (2013, 2015, 2016) EU SatCom Challenge Prize (2021) Vilnius University Best Applied Work Award (2020) He has contributed to computational electromagnetic analysis and developed methods for dielectric measurements in coaxial lines and waveguides.
Juha Vierinen is a Professor in Space Physics at the Department of Physics and Technology, UiT The Arctic University of Norway. His research focuses on experimental space physics, specializing in radar and radio remote sensing techniques applied to space plasma dynamics, atmospheric physics, space debris characterization, and planetary science. Develops advanced radar systems for ionospheric and mesospheric studies Works with EISCAT, EISCAT_3D, and GNSS networks Investigates Kelvin-Helmholtz Instabilities, GNSS scintillation, and space debris mapping Recent research includes interferometric imaging of ionospheric structures and machine learning applications in ionogram analysis. He collaborates with international institutions on projects like UNICube, QBDebris, and CASCADE. Based in Tromsø, Norway, he operates from Forskningsparken 1 A220. His publications span topics like solar eclipse effects on ionospheric density, smartphone-based space weather mapping, and multi-static meteor radar turbulence studies. Current work emphasizes volumetric radar analysis and fine-scale plasma irregularity characterization using novel imaging techniques.
Patrizia Savi is a Tenured Associate Professor at the Polytechnic University of Turin within the Department of Electronics and Telecommunications. She actively participates in the Power Electronics Innovation Center (PEIC) and serves as a Senior Member of IEEE and the International Union of Radio Science . Teaching: She has been the Titolare del corso for 'Campi Elettromagnetici' (Electromagnetic Fields) since 2019-2021 at the Polytechnic University of Turin. Key Collaborations: Works with researchers across Italy and international institutions on projects involving GNSS-R for environmental monitoring. Research Interests: Her work focuses on GNSS Reflectometry for soil moisture retrieval, carbon-based composites (graphene, biochar, nanotubes) for microwave applications, and graphene tunable devices including biosensors. She also explores electromagnetic shielding using sustainable materials. Recent Publication Trends: Recent work emphasizes machine learning integration with GNSS-R data, biochar composite shielding in construction materials, and graphene-based biosensors for glucose and HRP detection. Key applications span climate action , environmental monitoring , and medical diagnostics . Scientific Awards: IEEE Fellow (2016-) IEEE Senior Member (2016-) International Union of Radio Science Senior Member (2024-) Advising: Supervises PhD students Simone Gaetano Ballaera and Fabio Peinetti , focusing on graphene sensors and tunable devices.
