Find Academic Supervisors

Ján HeftyView profile

Professor

• Geodesy
• Geodynamics
• GNSS Applications
• +3 more

Prof. Ján Hefty serves as Professor and Head of the Department of Global Geodesy and Geoinformatics at the Faculty of Civil Engineering, Slovak University of Technology in Bratislava, a position he has held since 2003. With continuous affiliation since 1975, he progressed from Observatory Assistant to full Professor in 2006 following his inaugural lecture on permanent GNSS monitoring for geodesy and geodynamics. His academic credentials include a Candidate of Sciences (PhD equivalent) in Geodesy and Cartography obtained in 1985 with research on Earth dynamics using astronomical measurements, followed by habilitation in 1995 leading to Associate Professorship. His scholarly journey reflects deep specialization in geodetic methodologies and Earth system science. Prof. Hefty's research spans geodetic astronomy (1975-2000), Earth rotation analysis (1980-1995), and modern geodynamics using GNSS since 1991. His current work focuses on high-frequency GPS analysis for seismic displacement detection, Central European geokinematic modeling, and troposphere/ionosphere studies. He established Slovakia's first permanent GPS station in Modra-Piesk and directs the Local Analytical Center of the European Permanent Network. His 110+ publications reveal evolving trends from optical astrometry to cutting-edge GNSS applications, with recent work emphasizing real-time geodesy for natural hazard monitoring and reference frame densification in Central Europe. The research consistently bridges theoretical geodesy with practical geodynamic applications. Prof. Hefty has co-led 25 research and grant projects including the Central European Regional Geodynamics Project (CERGOP) and European Permanent Network initiatives. His international collaborations include five research stays at the Paris Observatory's International Earth Rotation Service, focusing on astrometric Earth rotation determination and VLBI applications. He oversees critical geodetic infrastructure including the Modra-Piesk GPS station and Central European data analysis center, which continuously process observations from regional networks. His team's work supports reference frame realization, crustal deformation monitoring, and the integration of geodetic data with geophysical models across Central Europe.

Andreas WieserView profile

Professor

• Geospatial Engineering
• Geomatics
• Geodetic Monitoring
• +3 more

Prof. Andreas Wieser is a Full Professor of Geosensorics and Engineering Geodesy at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, leading the Institute of Geodesy and Photogrammetry. His work focuses on advanced measurement systems for high-precision positioning, navigation, and geodetic monitoring of infrastructure and natural environments. Notable contributions include parameter estimation methods, quality control frameworks, and sensor optimization for applications like avalanche monitoring, railway deformation analysis, and CERN's Futur Circular Collider project. Education: PhD in Surveying from TU Graz (2001), Thesis: 'Robust and fuzzy techniques for parameter estimation and quality assessment in GPS' Habilitation at TU Graz (2007), Thesis: 'GPS based velocity estimation and its application to an odometer' Postdoc at University of Calgary (2003-2004) Research Interests: Development of multi-spectral LiDAR systems for material probing and distance measurement Integration of sensor technologies for environmental monitoring (e.g., snow depth analysis, hydroelectric dam deformation) High-precision geodetic infrastructure for large-scale projects like CERN's FCC Algorithmic advancements in point cloud registration, radiometric calibration, and uncertainty quantification Honors: 2006 Karl-Rinner Award (Austrian Geodetic Commission) 2003 Erwin-Schrödinger Fellowship (Austrian Science Fund) 2002 Josef Krainer Sponsorship (State of Styria) Grants & Labs: Alpine Metrology Lab: Long-range TLS and permanent GNSS for geomonitoring Leadership on CERN FCC Geodesy project Development of Comb-based multispectral LiDAR systems His work bridges geomatics with engineering challenges, emphasizing practical implementations of advanced sensor technologies across civil infrastructure, environmental science, and heritage preservation.

Gabriel KerekesView profile

Research Fellow

• Geodesy
• Terrestrial Laser Scanning
• Engineering Surveying
• +5 more

Gabriel Kerekes serves as a Postdoctoral Researcher and Group Leader of 3D Data Acquisition and Monitoring at the Institute of Engineering Geodesy Stuttgart (IIGS), part of the Faculty of Aerospace Engineering and Geodesy at the University of Stuttgart. He is actively affiliated with the Cluster of Excellence IntCDC (Integrative Computational Design and Construction for Architecture), contributing to cutting-edge research in computational construction methodologies. Dr. Kerekes specializes in terrestrial laser scanning (TLS), engineering surveying, and 3D data acquisition systems. His research addresses critical challenges in point cloud processing, stochastic modeling of geodetic measurements, and robotic total station networks for real-time construction monitoring. He develops innovative solutions for deformation analysis, geometric quality control of bio-based building elements, and integration of multi-sensor systems in architectural applications, with significant contributions to biomimetic shell construction and infrastructure monitoring projects. No scientific awards or fellowships were documented in the provided materials. Dr. Kerekes has supervised ten Master's and Bachelor's students since 2018, with research spanning TLS intensity analysis, atmospheric error modeling, and robotic positioning systems. His grant-funded projects include RP 16-2 (Spider Crane Robotic Platform) and AP 7 (Integrated Space-Time Point Cloud Modeling) under the IntCDC cluster. As leader of the 3D Data Acquisition and Monitoring team, he drives advancements in geodetic measurement technologies for next-generation construction processes.

• GNSS (Global Navigation Satellite Systems)
• Remote Sensing
• Least Squares Estimation
• +5 more

Dr. Amiri Simkooei is a Professor in the Faculty of Aerospace Engineering at Delft University of Technology, specializing in Operations & Environment. His research spans the application of aerospace engineering principles to environmental monitoring and geospatial analysis, with strong connections to both theoretical and practical aspects of remote sensing and GNSS technologies. Dr. Simkooei's research interests focus on the intersection of aerospace engineering and environmental science, particularly in developing advanced methods for data analysis. His work in least squares variance component estimation has provided significant contributions to GNSS time series processing, while his environmental applications include aircraft noise monitoring systems and marine habitat characterization using remote sensing technologies. His recent publications (2025-2026) demonstrate a strong research trajectory with applications spanning from airport environmental management to marine ecosystem monitoring. The research shows a consistent theme of applying rigorous mathematical and statistical methods to solve practical environmental monitoring challenges using aerospace-derived technologies. Dr. Simkooei actively supervises graduate students, as evidenced by thesis-related datasets, and collaborates extensively within TU Delft and with external partners on environmental monitoring projects. His work bridges theoretical geodetic methods with practical environmental applications, making significant contributions to both aerospace engineering and environmental science communities. His research group focuses on GNSS and remote sensing applications, with particular expertise in data processing algorithms, environmental monitoring systems, and marine habitat mapping. The group maintains strong connections with Dutch environmental agencies and aerospace industry partners, facilitating the translation of research into practical applications.