SAR/InSAR Algorithm Design Professors and Supervisors

Martin VossiekView profile

Professor

University of Erlangen–NurembergGermany

Prof. Dr.-Ing. Martin Vossiek is Chair of the Institute of Microwaves and Photonics (LHFT) at FAU, a world-leading center in microwave research. He holds a PhD from Ruhr-University Bochum and has extensive industry experience at Siemens. His roles include Prodekan für Elektrotechnik at FAU, spokesperson of DFG RTG 2680 KoRaTo, and leader of SFB 1483 EmpkinS. He has authored 350+ papers, holds 100+ patents, and co-founded five tech startups. Research focuses on radar systems, microwave theory, machine learning in sensing, biomedical monitoring, and automotive applications. Awards include IEEE Fellow, 2019 Microwave Application Award, and acatech membership. He leads global initiatives like ICMIM conference and chairs IEEE committees. Recent work includes radar data compression, SAR imaging in automotive systems, and non-invasive biomedical imaging. Key projects involve fusion of radar with optical sensors, UAV-based glacier exploration, and AI-driven tremor analysis for Parkinson’s care. Awards: IEEE Fellow, 2019 Microwave Award, DFG Review Board Member, acatech membership Grants: DFG RTG 2680, SFB 1483, industry collaborations Labs/Teams: LHFT, Embedded Systems Institute (ESI), ZIMT (Medical Engineering)

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Jaan PraksView profile

Associate Professor

Aalto UniversityFinland

**Jaan Praks** is an Associate Professor at the Department of Electronics and Nanoengineering, Aalto University, leading the Jaan Praks Group within the School of Electrical Engineering. His research focuses on satellite systems, space physics, remote sensing, and CubeSat mission engineering. He holds a Doctoral degree in Engineering and Technology from Aalto University (2012). **Research Interests**: Praks specializes in CubeSat-based missions for radiation belt studies, space weather monitoring, and low Earth orbit (LEO) positioning systems. His work integrates synthetic aperture radar (SAR) applications for boreal forest monitoring, snow water equivalent retrieval, and hyperspectral imaging for planetary missions. Key projects include the CORBES radiation belt survey and the FORESAIL CubeSat missions. **Awards**: Received the R2B - DIAMANT award (2024) for contributions to small satellite antenna design and space mission innovation. **Grants & Projects**: Principal investigator for multiple grants including the Centre of Excellence in Research of Sustainable Space (2023–2025) and AuroraSpace (2023–2026). Active in ESA collaborations and EU structural funds initiatives. **Labs & Teams**: Leads the Jaan Praks Group, a multidisciplinary team advancing CubeSat technology, space instrumentation, and remote sensing applications. Supervised 8 doctoral students to date, including Mayank, Marius Anger, and Kiril Cheremetiev.

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Amirreza KandiriView profile

Research Fellow

University College DublinIreland

Dr. Amirreza Kandiri is a Postdoctoral Research Fellow at the School of Civil Engineering, University College Dublin (UCD), where he conducts advanced research in transportation engineering, intelligent transportation systems (ITS), and infrastructure resilience. He earned his PhD at UCD, focusing on AI-driven traffic prediction and optimization under variable speed limits. He also holds an MSc in Construction Management and a BSc in Civil Engineering. Education: PhD, University College Dublin MSc, Islamic Azad University BSc, Buali Sina University His research centers on the application of machine learning and data analytics to solve critical challenges in civil and transportation engineering. He specializes in real-time traffic management, smart mobility, structural materials modeling, and remote sensing for infrastructure monitoring. His work integrates predictive modeling, optimization, and uncertainty analysis to enhance safety, efficiency, and sustainability in urban systems. The recent publications of Dr. Kandiri reflect a strong interdisciplinary trend combining civil engineering with artificial intelligence. His work spans intelligent traffic control using autonomous agents, deep learning for InSAR data analysis, and machine learning models for predicting concrete properties. These studies highlight a consistent focus on optimization, model accuracy, and real-world applicability across transportation and construction domains. Scientific Awards: 2024 Dean’s Award, UCD STEM Early Career Researchers’ Symposium Recognized for one of the most cited papers in Applied Sciences Dr. Kandiri has been actively involved in academic service, including peer reviewing for journals and serving on the UTSG 2025 organizing committee. He has contributed to teaching at both University College Dublin and Chang’an University in China. While no formal students are listed, his collaborative research involves multiple co-authors across disciplines. He has not received mention of grants, but his research output suggests involvement in funded projects related to smart infrastructure and sustainable materials. His work is closely tied to real-world applications, particularly on the M50 motorway in Dublin, and leverages platforms like Google Scholar, ResearchGate, and ORCID (0000-0001-8683-7984) for dissemination. He is part of a growing collaboration network in transportation and structural engineering research.

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Jingyi ChenView profile

Associate Professor

University of Texas at AustinUnited States

Jingyi "Ann" Chen is an Associate Professor in the Department of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin, where she joined in 2017. She also serves as a faculty member by courtesy in the Department of Geological Sciences since 2018. Holding the Mr. N. Doug Williams Memorial Centennial Fellowship in Engineering, she leads the Radar Interferometry Group housed in the Center for Space Research. Dr. Chen specializes in satellite geodesy and remote sensing, with particular expertise in Interferometric Synthetic Aperture Radar (InSAR) image processing algorithms and applications. Her research focuses on developing satellite technologies for studying seismic activity, groundwater resources, natural disasters, and permafrost hydrology. With over 15 years of experience in SAR/InSAR algorithm design for earth system science, she is a senior member of IEEE. Her research group operates at the intersection of aerospace engineering and geosciences, developing innovative techniques for earth observation. She teaches courses including Introduction to Computer Programming, Fundamentals and Geophysical Applications of Imaging Radar Systems, and Computational Methods, emphasizing practical applications of theoretical concepts. W. A. "Tex" Moncrief Grand Challenge Award (2022) LUNAR Council Teaching Award (2020) Dr. Chen's work bridges engineering and earth sciences, contributing significantly to our understanding of environmental systems through advanced radar technologies and satellite observations.

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