GNSS Signal Processing Professors and Supervisors

Pau Closasمشاهده پروفایل

دانشیار

Northeastern UniversityUnited States

Pau Closas is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University , leading the Information Processing Lab and co-directing the SPIRAL Group . He has held leadership roles including Editor-in-Chief of the IEEE Aerospace and Electronic Systems Magazine and Head of Statistical Inference for Communications and Positioning at CTTC in Barcelona. MS (2014), Universitat Politècnica de Catalunya: Advanced Mathematics and Mathematical Engineering PhD (2009), Universitat Politècnica de Catalunya: Electrical Engineering MS (2003), Universitat Politècnica de Catalunya: Electrical and Computer Engineering His research lies at the intersection of statistical signal processing and computational statistics , focusing on robust filtering over complex systems. Key application areas include satellite-based navigation , indoor positioning , wireless communications , and mathematical biology . Current projects involve AI-based sensor fusion for ionospheric dynamics and distributed AI for secure navigation systems. Notable awards include the 2023 Harry Rowe Mimno Award , 2019 NSF CAREER Award , and EURASIP Best PhD Thesis Award (2014) . He has secured over $15 million in grants from NSF, DARPA, and the U.S. Army Research Laboratory for projects like RESILIENT and CAREER: Secure Positioning. His leadership roles extend to Chief Scientist at Albora Technologies and co-director of Northeastern's SPIRAL research group.

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Yoshiharu Amanoمشاهده پروفایل

استاد

Waseda UniversityJapan

Professor Yoshiharu Amano is affiliated with the Faculty of Science and Engineering at Waseda University in the Department of Applied Mechanics and Aerospace Engineering . With a Doctor of Engineering degree from Waseda University, his research spans energy systems, robotics, and environmental engineering. Education: Ph.D. in Mechanical Engineering (Waseda University) Current Position: Full Professor at Waseda University His research interests include: Optimization of energy systems with renewable integration Development of autonomous mobile systems and UAVs GNSS signal processing and multipath mitigation 3D mapping for industrial and environmental applications Control Moment Gyro (CMG) technology for flight stability Standardization of industrial energy management systems (IEC 63376) Recent publications focus on: Macroeconomic modeling of distributed energy resources Geothermal system optimization using deep learning CO2 emission reduction through advanced district cooling systems High-precision 3D piping measurement methods Hydrogen production economics with hybrid energy sources GNSS reliability improvements in urban environments Scientific awards highlight his contributions to: Best energy systems research (ECOS 2015, IJPGC ASME) Thermal engineering excellence (JSME 2005, 2012) Robotics innovations (ROBOMECH Journal 2011) International recognition (SICE 2021)

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Kazuhiko Tamesueمشاهده پروفایل

دانشیار

Waseda UniversityJapan

Kazuhiko Tamesue is an Associate Professor at the Faculty of Science and Engineering , Waseda University , with a focus on Terahertz Communication , Artificial Intelligence , and IoT Network Security . His academic journey spans academia and industry, including long-term roles at Panasonic Corporation (1991–2009) and current leadership in advanced wireless systems since 2022. Research Areas : Telecommunications, Wireless Hardware, Data Science, Machine Learning, Atmospheric Sensing Key Contributions : Pioneering 300GHz OFDM transceivers, AI-driven GNSS spoofing detection, and dual-frequency THz radar for cloud physics Projects : NICT-funded terahertz networks (2023–2024), ultra-low-latency systems (2022–2024), and security-enhancing radar technologies His 15 most recent publications (2024–2008) demonstrate expertise in (1) terahertz propagation for NTN/HAPS platforms, (2) machine learning for security (LSTM, GANs), and (3) next-generation IoT protocols (LPWAN, distributed ledger). He holds 20+ patents in antenna design, direct-conversion receivers, and power line communication. As an IEEE and IEICE member, he contributes to standards in 5G/6G and EMC.

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Alberto Moreiraمشاهده پروفایل

استاد

German Aerospace CenterGermany

Prof. Dr.-Ing. Alberto Moreira is the Director of the Microwaves and Radar Institute at the German Aerospace Center (DLR) and a Full Professor in Microwave Remote Sensing at Karlsruhe Institute of Technology (KIT) . He leads pioneering work in synthetic aperture radar (SAR) systems, including the TanDEM-X and TerraSAR-X missions. Born in São José dos Campos, Brazil B.Sc./M.Sc. in Electrical Engineering (Aeronautical Technological Institute, 1984/1986) Ph.D. (summa cum laude, Technical University of Munich, 1993) Research Focus : Innovative SAR system design (polarimetric interferometry, tomography) Digital beamforming and multi-static radar architectures Global Earth observation through TanDEM-X and Tandem-L missions Quantum annealing applications in SAR processing Planetary radar systems for Venus exploration (EnVision, VERITAS) Scientific Impact : Author/co-author of >500 peer-reviewed publications H-index: 66 (Google Scholar) Holder of >40 patents in radar and antenna technology Awards & Leadership : IEEE Dennis J. Picard Medal (2023) IEEE GRSS Distinguished Achievement Award (2014) President of IEEE GRSS (2010) Founding Chair of IEEE GRSS German Chapter Principal Investigator for Helmholtz Alliance Earth System Dynamics (2012-2018) Collaborations : Works with ETH Zurich, TU Delft, and ESA on missions like Sentinel-1, BIOMASS, Harmony, and VERITAS. His institute develops cutting-edge technologies for spaceborne SAR systems.

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Michał Michnaمشاهده پروفایل

دانشیار

Gdańsk University of TechnologyPoland

Dr hab. inż. Michał Michna is an Associate Professor and Head of the Department of Power Electronics and Electrical Machines at Gdańsk University of Technology's Faculty of Electrical and Control Engineering. He joined the university in 2004 and served as Deputy Head of Department from 2010 to 2015. His research spans electrical machines, piezoelectric actuators, and renewable energy systems, with a strong emphasis on industrial applications. Research interests include: Design and modeling of transformers, generators, and motors Finite element analysis (FEM) for electromechanical systems Piezoelectric actuator technology Railway infrastructure diagnostics and IIoT monitoring He has contributed to key projects like the InfraNoise railway environmental impact system and EU initiatives such as MOET-FP6. Awards include: Medal of the National Education Commission (2021) Bronze Medal for Long Service (2015) Multiple Rector's Awards for teaching and research excellence His recent publications (2023–2025) focus on renewable energy integration, railway diagnostics, and advanced motor designs. He teaches courses in electromechanical systems and supervises departmental research infrastructure, including power electronics testbeds.

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Georges Stienneمشاهده پروفایل

دانشیار

University of the Littoral Opal CoastFrance

Georges Stienne is a researcher at the LISIC laboratory (University of the Littoral Opal Coast) specializing in Bayesian dynamic estimation for GNSS positioning and reflectometry. He is defending his Habilitation to Supervise Research (HDR) on September 10, 2024, qualifying him to lead doctoral research. His research focuses on: Bayesian statistical approaches for dynamic parameter estimation GNSS signal processing and reflectometry applications Break detection in temporal signal evolution Multiple linear-circular regression for multi-sensor data fusion His work achieves millimeter-level accuracy in differential positioning through innovative phase-amplitude coherence analysis, with applications in water body detection and sediment transport metrology. Current research explores joint processing of remote sensing signals for reflector characterization. He is actively involved in LISIC laboratory initiatives including EUR MAIA (Artificial Intelligence applications) and regional drone technology projects. His HDR defense jury comprised professors from University of Bordeaux, University of Technology of Troyes, INRAE Bordeaux, Polytechnic University of Catalonia, and University of Paris-Nanterre.

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Mieczysław Jessaمشاهده پروفایل

استاد

Poznan University of TechnologyPoland

Professor Mieczysław Jessa is a distinguished faculty member at Poznań University of Technology, serving in the Faculty of Information Technology and Telecommunications within the Institute of Multimedia Telecommunications. With a scientific discipline focused 100% on Information and Communication Technology, he has established himself as a leading researcher in random number generation, signal synchronization systems, and spectrum sensing techniques. His research interests center around hardware-based random number generators for cryptographic applications, precise synchronization of oscillators using GNSS signals, and advanced spectrum sensing methodologies. Professor Jessa's work bridges theoretical foundations with practical implementations, particularly in telecommunications security and precision timing systems. His recent publications demonstrate continued innovation in applying machine learning to spectrum sensing and developing low-complexity random number generation solutions for FPGAs. Professor Jessa maintains an active publication record with multiple articles in 2024-2025, reflecting his ongoing research contributions. His work spans both theoretical aspects of stochastic processes and practical implementations in measurement systems and secure communications. As an academic supervisor, Professor Jessa has guided doctoral research in areas including FPGA-based random sequence generation and spectrum sensing techniques, with documented supervision of three doctoral students through 2019. His technical contributions include the development of synchronization systems like the DST-16 clock distributors and SP-4000 measurement systems, demonstrating the practical application of his research in real-world telecommunications infrastructure.

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Myriam Servièresمشاهده پروفایل

استاد

Nantes UniversityFrance

Myriam Servières is a Professor of Computer Science at Centrale Nantes, where she has taught since 2006. She currently serves as Director of AAU-CRENAU and Deputy Director of the AAU Laboratory. Her academic journey includes a PhD in Applied Computer Science from the University of Nantes (2002-2005) and an engineering diploma from École Centrale de Nantes (1999-2002). Her research explores the intersection of digital technology and urban environments, with key interests in: Geolocation : Developing advanced positioning systems for urban navigation Augmented/Virtual Reality : Creating multisensory urban simulations 3D Modeling : Reconstructing and analyzing urban spaces Citizen Sensing : Engaging communities in environmental monitoring Her recent publications demonstrate strong focus on VR-based urban perception analysis, pedestrian navigation systems, and geospatial data processing. Work frequently appears in premier journals like ISPRS and IEEE Transactions . She leads significant initiatives including the IRSTV 'Urban Tomography' research axis and the '3D geospatial data' prospective action. Her teaching spans core computer science courses and specialized programs in digital cities. At AAU-CRENAU, she directs research on computational urban analysis, collaborating across disciplines to develop new methods for understanding and designing urban spaces through digital mediation.

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Viet Thuy Vuمشاهده پروفایل

دانشیار

Blekinge Institute of TechnologySweden

Viet Thuy Vu is an Associate Professor in Systems Engineering at the Department of Mathematics and Natural Sciences, Faculty of Engineering, Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. He received his licentiate and doctoral degrees in applied signal processing from BTH in 2009 and 2011 respectively, and has been active at the institution since 2013, progressing from postdoctoral researcher in radar algorithm development to his current position. His research focuses on advanced radar signal processing with particular expertise in Synthetic Aperture Radar (SAR) technologies. His work spans multiple specialized areas including SAR signal processing, SAR applications in change detection, SAR Ground Moving Target Indication (GMTI), and radio occultation. He has authored and co-authored more than 100 scientific publications in these fields. Recent research output shows a strong focus on FOPEN (Foliage Penetration) SAR change detection, with multiple 2025 publications exploring Bayesian approaches, logistic regression enhancements, and experimental validation using CARABAS II/LORA-VHF systems. His work also extends to GNSS radio occultation for ionospheric studies and mathematical formulations for SAR systems with circular apertures. His research demonstrates consistent collaboration with Mats Pettersson and other researchers at BTH and beyond, indicating active participation in radar remote sensing research communities.

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Piotr Rajchowskiمشاهده پروفایل

استادیار

Gdańsk University of TechnologyPoland

Piotr Rajchowski is an Assistant Professor and Deputy Head of Department at the Department of Radiocommunication Systems and Networks, Faculty of Electronics Telecommunications and Informatics, Gdańsk University of Technology. His research focuses on wireless communication technologies with particular emphasis on: 5G/LTE network signal processing and analysis Novel applications of cellular signals for infrastructure monitoring UAV detection through radio signal analysis Positioning systems in urban environments NB-IoT and low-power communication technologies Dr. Rajchowski's recent work demonstrates innovative approaches to repurposing existing cellular infrastructure for secondary applications such as train detection and UAV monitoring, showing particular expertise in signal processing techniques applied to real-world wireless communication systems. His publications reveal a strong practical orientation with experimental validation using real signal measurements. His current research projects include: SDIDS (Software-Defined Device for Detecting and Mitigating Interferences) as Project Manager DUCH IoT (software-defined radio interface for IoT devices) PL-5G (National Laboratory for Advanced 5G Research) VCS-MLAT (aircraft location system)

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Wojciech Siwickiمشاهده پروفایل

استادیار

Gdańsk University of TechnologyPoland

Wojciech Siwicki is an Assistant Professor at the Department of Radiocommunication Systems and Networks within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology. Based in room 406 of Building A, he can be contacted via email (wojciech.siwicki@pg.edu.pl) or phone (+48 58 347 1577). His research focuses on radio navigation and terrestrial positioning systems , particularly: Hyperbolic radio navigation alternatives to GNSS Asynchronous and self-organizing radiolocation methods Indoor localization algorithms using radio distance measurements Security analysis of navigation infrastructure Internet of Things radio interfaces Publications from 2013-2020 reveal consistent work on Polish radiolocation systems (AEGIR/JEMIOLUSZKA), with emphasis on system reliability, asynchronous operation, and comparative performance analysis in both static and dynamic environments. His contributions span theoretical modeling and practical implementation of terrestrial navigation solutions. Dr. Siwicki participates in research projects funded by the Intelligent Development Operational Programme, including DUCH IoT (software-defined radio interfaces for IoT devices) and VCS-MLAT (aircraft location in distributed VCS systems), demonstrating applied research engagement in navigation technology innovation.

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Vicente Alarcon-Aquinoمشاهده پروفایل

استاد

National Research Institute for Mathematics and Computer ScienceNetherlands

Dr. Vicente Alarcon-Aquino is a Professor in the Department of Computing, Electronics, and Mechatronics at Universidad de las Americas Puebla (UDLAP), Mexico. He received his Ph.D. and D.I.C. degrees in Electrical and Electronic Engineering from Imperial College London in 2003. He previously served as department head from October 2012 to June 2018 and spent a research stay at King's College London in 2017. Dr. Alarcon-Aquino is a Senior Member of IEEE, a Level I member of the Mexican National System of Researchers (SNI), and a Fellow of the Mexican Academy of Sciences. His educational background includes: Ph.D. and D.I.C. in Electrical and Electronic Engineering, Imperial College London, UK (2003) Dr. Alarcon-Aquino's research focuses on cybersecurity, network monitoring, anomaly detection, wavelet analysis, and machine learning. His work spans theoretical foundations to practical applications in network security, with significant contributions to intrusion detection systems, cryptographic techniques, and machine learning approaches for security applications. He has developed innovative methods combining wavelet transforms with neural networks for various security and signal processing applications. His scholarly contributions include over 180 research articles in refereed journals and conference proceedings, a book on MPLS networks, and numerous citations. As an editor, he serves as Associate Editor for IEEE Access Journal and as Academic & Section Editor for PeerJ Computer Science, focusing on Security & Privacy. Notable professional recognitions include: Senior Member of IEEE Mexican National System of Researchers (SNI Level I) Member of the Mexican Academy of Sciences Dr. Alarcon-Aquino has supervised over 70 theses, including 8 Ph.D. dissertations, 15 Master's theses, and more than 37 Bachelor's theses. His supervision spans topics including network intrusion detection, information security, encryption algorithms, wavelet-based signal processing, neural networks, EEG signal processing, and biometric cryptosystems. He has hosted international research students from institutions including the Polytechnic University of Madrid and Kiel University of Applied Sciences. His research group at UDLAP focuses on developing advanced security solutions for modern network environments, with particular emphasis on applying machine learning techniques to cybersecurity challenges. Current projects include blockchain-based security solutions, federated learning approaches for intrusion detection, and advanced anomaly detection systems for IoT environments.

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Sjouke Mauwمشاهده پروفایل

استاد

University of LuxembourgLuxembourg

Sjouke Mauw is a full professor in "Security and Trust of Software Systems" at the University of Luxembourg , leading the Department of Computer Science and the SaToSS research group. His work bridges formal methods with real-world security and trust challenges. Current affiliation: University of Luxembourg (Faculty of Science, Technology and Communication) Previous roles: Associate Professor at Eindhoven University of Technology, Senior Researcher at CWI Research Focus Security protocols and their formal verification Attack trees and defense trees for structured threat analysis Privacy in voting systems and digital exchange Trust management frameworks and risk assessment RFID and e-voting security Cyber-physical socio-technical systems Recent Article Trends (2023-2025) include applications of deep learning to privacy risks, formal verification of distance-bounding protocols, and anomaly detection in resource-constrained environments like cubesats. These works span machine learning, cryptography, and aerospace engineering. Academic Contributions include over 50 refereed publications, supervision of 15+ PhD students, and leadership in European research projects (e.g., Meteor, Concur). He has developed formal methods for security protocols, attack-defense trees, and GNSS signal integrity frameworks.

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Stephanie Bidonمشاهده پروفایل

استاد

Higher Institute of Aeronautics and SpaceFrance

Stephanie Bidon is a Professor in the Department of Electronics, Optronics and Signal Processing (DEOS) at ISAE-SUPAERO, University of Toulouse, specializing in statistical signal processing for radar and navigation systems. Her career spans over 15 years of research leadership with significant contributions to adaptive radar techniques and GNSS signal processing. Her educational background includes: Engineer degree from ENSICA, Toulouse (2004) MS degree from ENSICA, Toulouse (2005) PhD from INP Toulouse (2008, with Léopold Escande and Thales prizes) Habilitation à Diriger des Recherches from INP Toulouse (2015) Professor Bidon's research centers on statistical signal processing for extracting signals from noise in radar and navigation contexts. She develops Bayesian estimation frameworks and sparse representation techniques applied to critical challenges including Space-Time Adaptive Processing for detecting moving targets, phase tracking in degraded GNSS environments, and waveform co-design for radar-communications convergence. Her work bridges theoretical advances with practical implementations in aerospace systems. Her scientific recognition includes: Léopold Escande prize (2008) Thales PhD prize (2009) She actively mentors the next generation of engineers through supervision of eight PhD students on cutting-edge topics from GNSS phase tracking to radar-communications integration. As an Associate Editor for IEEE Transactions on Radar Systems (2022-2025) and former Vice Chair of the IEEE AESS Radar Systems Panel, she shapes global research directions while securing collaborative funding through EU and industry partnerships. Her Communication and Information Theory research group provides experimental SDR radar data resources and focuses on robust adaptive antenna systems for aerospace applications. The group maintains strong industry ties with Thales and other defense/aerospace leaders, facilitating technology transfer of advanced signal processing techniques to operational radar and navigation systems.

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