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Daniel Haugård Olesen is an Associate Professor at DTU Space, Technical University of Denmark, within the Department of Space Research and Technology, specializing in Geodesy and Earth Observation. He leads the GNSS research group, which focuses on advanced navigation technologies, including interference detection, precise positioning, and sensor fusion for drones and robots. Institution: Technical University of Denmark (DTU) School: DTU Space Department: Department of Space Research and Technology Research Division: Geodesy and Earth Observation (GEO) Role: Associate Professor and Head of GNSS Research Group His research interests span GNSS signal integrity, space weather impacts, RTK/PPP positioning, multi-sensor fusion, and applications in environmental monitoring using unmanned systems. He actively contributes to hydrological studies through drone-based river monitoring, leveraging LiDAR, sonar, radar, and GNSS-R techniques. The recent publication trends reflect a strong focus on applying UAS and GNSS technologies to solve real-world environmental challenges, particularly in river hydraulics, surface water dynamics, and soil moisture sensing. His work integrates space-based observation with autonomous platforms, emphasizing reliability, precision, and scalability. Keywords across articles include Earth Observation, Remote Sensing, Hydrology, Navigation, and Signal Processing, with specific subfields such as GNSS interference mitigation, Doppler radar velocimetry, and ionospheric scintillation analysis. Daniel Olesen supervises several PhD projects, indicating an active mentoring role in training next-generation researchers. Notable projects include GNSS-R from UAS, semi-autonomous navigation for river monitoring, and ionospheric effects on GNSS signals. While no specific scientific awards are listed in the provided text, his sustained research output and leadership in key projects suggest recognition within the scientific community. GNSS Reflectometry (GNSS-R) from Unmanned Aerial Systems (2024–2027) Semi-autonomous navigation of UAS for river monitoring (2023–2026) Ionospheric effects on GNSS signals (2020–2024) GNSS Jamming Detection and Localization (2019–2024) Relative positioning and attitude from UAVs (2017–2021) He leads the GNSS research group at DTU Space, which operates multiple state-of-the-art GNSS CORS networks and develops cutting-edge methods for reliable positioning in challenging environments. The team works at the intersection of geodesy, space science, and robotics, fostering interdisciplinary collaboration to advance autonomous navigation and Earth observation capabilities.

• Geodesy
• Earth Observation
• GNSS (Global Navigation Satellite Systems)
• +13 more

Francesco Da Ros is an Associate Professor at the Technical University of Denmark , Department of Electrical and Photonics Engineering. His work focuses on machine learning applications in photonic systems, particularly in optical communication and photonic computing. Active in silicon photonics and nonlinear optics Key contributor to optical machine learning and digital signal processing Research Interests: Da Ros explores the intersection of machine learning and photonics , with specific projects involving: Photonic reservoir computing End-to-end optimization of optical communication systems Neuromorphic photonic circuits Channel equalization techniques Quantum communication systems Thermal crosstalk compensation in integrated photonics Scientific Contributions: His research has produced over 245 publications and 23 projects , including significant work on: Raman amplifier optimization Machine learning for optical matrix multipliers Frequency comb phase noise characterization Security systems using distributed acoustic sensing Awards: Recipient of prestigious awards such as: Best Young Italian Researcher in Denmark (2019) DOPS Prize (2017) Horizon Prize for Breaking Optical Transmission Barriers (2016) Academic Leadership: Actively supervises PhD students in projects related to: End-to-end learning for multi-core fiber systems Nonlinear fiber-optic channel optimization Quantum communication lasers Integrated quantum photonic reservoir computing

• Optical Computing
• Optical Machine Learning
• Nonlinear Optics
• +6 more

Thomas Just Sørensen is a Professor in the Department of Chemistry at the University of Copenhagen's Faculty of Science. His research focuses on lanthanide-based molecular systems with applications in optical authentication and photophysics. Affiliated with the university's chemistry department since at least 2011, he maintains active research groups and industry collaborations. His primary research interests include lanthanide coordination chemistry , molecular photophysics , and optical authentication technologies . He investigates symmetry properties of lanthanide complexes, develops chloride-binding systems, and creates physical unclonable functions (PUFs) for anti-counterfeiting. His work bridges fundamental inorganic chemistry with practical security applications. His publication trends show consistent focus on lanthanide luminescence (2017-2025), with recent expansion into computational symmetry analysis (2024) and crystallization mechanisms (2025). Key journals include Journal of Physical Chemistry , Inorganic Chemistry , and Nature Reviews Chemistry . Scientific awards: The Lundbeck Foundation’s Talent Prize (2011) Sørensen actively participates in f-element chemistry conferences including ACS National Meetings and Rare Earth Research Conferences. He has founded two commercial ventures: Pufin-ID (optical authentication solutions) and KU-dyes (specialty dyes), demonstrating strong industry translation of his research. His laboratory focuses on synthesizing and characterizing lanthanide complexes for security applications, with particular emphasis on luminescence-based detection systems and molecular design for aqueous environments.

• Lanthanide Chemistry
• Molecular Photophysics
• Optical Authentication
• +3 more