Find Academic Supervisors

Kurt SchwehrView profile

Adjunct Associate Professor

• Marine Geology
• Geophysics
• Robotics
• +8 more

Kurt Schwehr serves as Affiliate Associate Research Professor at the University of New Hampshire's Center for Coastal and Ocean Mapping (CCOM) while concurrently holding the position of Head of Ocean Engineering at Google. His distinguished career spans NASA's Jet Propulsion Laboratory, NASA Ames Research Center, Carnegie Mellon University's Robotics Institute, and the United States Geological Survey, demonstrating exceptional cross-disciplinary expertise in marine and space systems. His educational foundation includes a Ph.D. in Marine Geology and Geophysics from Scripps Institution of Oceanography and a B.S. in Geology from Stanford University. These qualifications underpin his innovative approach to solving complex environmental challenges through technological integration. Dr. Schwehr's research program uniquely bridges computer science, geology, and geophysics to develop robotic systems and real-time visualization tools for extreme environments. His work focuses on applying computer graphics and autonomous systems to marine conservation and planetary exploration, with signature projects including the Chart-of-the-Future initiative, maritime Automatic Identification System applications, and Mars mission visualization software. The Right Whale AIS Project exemplifies his commitment to practical conservation, using acoustic networks to prevent ship-whale collisions in Boston Approaches. Analysis of his publication trajectory reveals a strategic evolution from Mars exploration software (2000s) toward ocean-focused geospatial technologies. Recent work emphasizes cloud-based big data processing (Google Earth Engine), high-resolution land cover mapping, and AIS-driven marine spatial planning, reflecting his dual focus on environmental monitoring infrastructure and actionable conservation tools. His publications consistently integrate open-source methodologies with real-world maritime safety applications. As a mission-critical contributor to NASA's Mars exploration program, Dr. Schwehr developed visualization systems for Pathfinder through Mars Science Laboratory missions. His leadership of the Right Whale AIS Project demonstrates applied innovation in marine conservation technology. An active open-source advocate, he develops and maintains software libraries using Python, C++, and Emacs org-mode while contributing to major geospatial projects like GDAL and Google Earth Engine.

Volker OyeView profile

Associate Professor

• Seismology
• Geophysics
• Induced Seismicity
• +4 more

Volker Oye is an Associate Professor in the Department of Meteorology and Oceanography at the University of Oslo . His work spans seismology, geophysics, and applied machine learning, with a focus on seismic hazard assessment, induced seismicity from subsurface fluid injection, and ambient seismic noise analysis. He actively contributes to CO 2 storage safety, geothermal energy monitoring, and urban seismic risk mitigation. Research Interests: Seismology, Geophysics, CO 2 Storage Monitoring, Fault Reactivation, Ambient Noise Analysis, Machine Learning Applications. Recent Publications highlight trends in seismic event relocation, induced seismicity from geothermal and CO 2 projects, urban construction monitoring with low-cost sensors, and planetary acoustic signal detection. His work integrates field observations, laboratory experiments, and advanced signal processing. Scientific Contributions: No explicit awards listed, but his collaborative projects and peer-reviewed articles demonstrate leadership in seismic risk assessment and geophysical technology innovation.

• Computational Multi-Fluid Dynamics (CMFD)
• Multi-Physics Modelling
• Finite Element Methods (FEM)
• +5 more

Dr Jefferson Gomes , Senior Lecturer at the University of Aberdeen since 2023, is a computational physicist specializing in multi-fluid dynamics and nuclear engineering. His research spans energy technologies, environmental hazards, and geophysical systems. Education: PhD (Imperial College London, 2004), MSc (State University of Rio de Janeiro, 1999), BSc in Chemical Engineering (Federal University of Rio de Janeiro, 1996) Research Interests: Focus on computational multi-fluid dynamics (CMFD) and multi-physics modeling, with applications in nuclear reactor safety, unconventional shale gas, CO₂ migration, and geothermal energy. Expertise in finite element methods (FEM), machine learning, and reduced-order models. Recent Publications: 2025 work on multifluid reactor dynamics and shale gas adsorption; 2024 studies on CO₂ sequestration and corium flow during accidents. Earlier work includes nuclear reactor design optimization and granular flow modeling. Awards: Fellow of the Higher Education Academy (FHEA). Teaching: Offers courses in Chemical Thermodynamics, Process Engineering, and Computational Fluid Dynamics at undergraduate and postgraduate levels. Collaborations: Partnerships with Imperial College London, Federal University of Rio de Janeiro, and industry projects for BNFL, BP, and JAEA.

• Granular Materials
• Social Network Modeling
• Morphodynamics of Pebbles
• +3 more

János Török is an Associate Professor at the Department of Theoretical Physics, Budapest University of Technology and Economics, affiliated with the Morphodynamics group. His research spans granular materials, social network modeling, and morphodynamics of pebbles. Granular materials: Quasi-static shearing, shear band formation, particle shape effects, hopper flow Social science: Conflicts on Wikipedia, consensus modeling, social network dynamics Morphodynamics: Collective abrasion, fragmentation of pebbles His recent publications focus on computational modeling of granular physics and social dynamics, with applications in machine learning for malaria detection. Articles highlight interdisciplinary approaches to phase transitions, network analysis, and material deformation. Shear zones in granular materials Deep learning for social network parameters Malaria detection software He is involved in open-source projects (WWM, Mozi) and teaches courses in mathematical methods, mechanics, and scientific programming.

Nishtha SrivastavaView profile

Research Fellow

• Seismology
• Artificial Intelligence
• Machine Learning
• +5 more

Nishtha Srivastava is a Research Fellow at the Frankfurt Institute for Advanced Studies (FIAS) under the Theoretical Sciences school. Her work bridges Seismology and Artificial Intelligence, focusing on enhancing Earthquake Early Warning Systems (EEWs) and seismic event detection through AI/ML models. Her research explores seismic stress release patterns, deep learning architectures for earthquake magnitude estimation (e.g., CREIME, PolarCAP), and automated volcanic event analysis. Key projects include the BMBF-funded Seismology and Artificial Intelligence (SAI) initiative, which develops tools like AWESAM for real-time volcano monitoring. She collaborates with PhD students (Jonas Köhler, Abel Daniel Zaragoza Alonzo) and postdocs (Wei Li, Claudia Quinteros) at FIAS, contributing to advancements in seismic phase picking, P-wave detection, and industrial AI applications. Her work emphasizes rapid warning systems in high-risk regions like Southern California and Indonesia.

Jeremy MaurerView profile

Assistant Professor

• Earthquake Science
• Geophysics and Seismology
• Geo-data Science
• +7 more

Dr. Jeremy Maurer is an Assistant Professor in the Department of Geosciences and Geological and Petroleum Engineering at Missouri University of Science and Technology since January 2020. His research focuses on earthquake science, geodetic data analysis, and predictive modeling using tools like InSAR, GNSS, and machine learning. Ph.D. in Geophysics and Seismology, Stanford University (2018) M.S. in Geosciences, Indiana University - Bloomington (2013) M.A. in Exegetical Studies, Grace College and Seminary (2011) B.A. in General Science, Grace College and Seminary (2010) Dr. Maurer's research bridges geophysics, seismology, and geo-data science. He specializes in quantifying earthquake hazards through geodetic strain rate estimation, fault slip deficit modeling, and InSAR validation with lidar/GPS. His work spans Californian groundwater systems, Caribbean plate boundaries, and Central American tectonic zones. Recent publications (2024-2025) address subsidence modeling in agricultural regions, seismic hazard frameworks for New Zealand, and advanced InSAR calibration techniques. Themes include fault mechanics, strain rate dynamics, and cross-disciplinary applications of quantitative tools. Dr. Maurer is a member of the American Geophysical Union and Seismological Society of America . His work has been featured in 19 media outlets, including studies on directional shaking from the 1976 Guatemala earthquake and the launch of the first U.S. geospatial engineering master's degree.

Ali GurbuzView profile

Assistant Professor

• Machine Learning
• Signal Processing
• Remote Sensing
• +5 more

Ali Gurbuz is an Assistant Professor in the Department of Electrical and Computer Engineering at Mississippi State University's College of Engineering, specializing in smart sensing systems and machine learning applications. His research integrates signal processing with autonomous systems for environmental monitoring and medical imaging. His educational background includes a Bachelor's degree from Bilkent University (Turkey), and Master's/Doctoral degrees in Electrical and Computer Engineering from Georgia Institute of Technology. Since joining MSU in 2018 after a position at the University of Alabama, he has established himself as a leading researcher in sensing technologies. Gurbuz's research focuses on developing intelligent front-end sensing systems that optimize data acquisition using machine learning, addressing critical bottlenecks in processing capabilities for applications ranging from autonomous vehicles to precision agriculture. His work emphasizes efficient data collection through radar, lidar, and camera systems, with particular attention to soil moisture estimation and medical imaging applications. His publication portfolio demonstrates strong trends in UAS-based remote sensing, RF interference mitigation, and deep learning for signal processing. Key research areas include GNSS reflectometry for soil moisture mapping, radar-based sign language recognition, and seafloor gas seep detection using sonar data. NSF CAREER Award recipient (2021) for $500,000 to advance smart sensing systems research Gurbuz co-directs the Information Processing and Sensing (IMPRESS) research group at MSU, collaborating extensively with the Center for Advanced Vehicular Systems and Geosystems Research Institute. His work bridges theoretical signal processing with practical implementations in agricultural monitoring, environmental sensing, and medical applications, with several projects demonstrating hardware-software co-design approaches for next-generation sensing systems.

Bénédicte FruneauView profile

Associate Professor

• Radar Interferometry
• Geophysics
• Remote Sensing
• +4 more

Bénédicte Fruneau is an Associate Professor at Université Gustave Eiffel and a member of the ACTE research team within LASTIG (Laboratory of Studies and Research in Geomatics). She serves as co-coordinator of the Master 2 Geographical Information, Spatial Analysis and Remote Sensing program. Her expertise lies in radar interferometry for ground deformation monitoring and seismic cycle studies. Research Interests : DInSAR and MTInSAR techniques Seismic cycle deformation analysis Urban and suburban displacement monitoring Residual mining subsidence characterization Publications focus on satellite radar interferometry applications for glacier monitoring , forest phenology , anthropogenic deformation , and post-mining subsidence . Her work spans geophysics, remote sensing, and geotechnical risk assessment across France, Taiwan, Mexico, and India. Education : Habilitation (HDR) in Radar Interferometry, Université Paris-Est (2011) PhD in Geophysics, Université Paris 7 (1995) MSc in Signal/Image/Parole, Grenoble INP (1991) Electrical Engineering degree, Grenoble INP (1991)

Stephen HicksView profile

Lecturer

• Seismology
• Environmental Seismology
• Computational Seismology
• +6 more

Dr. Stephen Hicks is a NERC Independent Research Fellow and Proleptic Lecturer in Environmental Seismology at the Department of Earth Sciences, University College London . His research focuses on high-impact geophysical phenomena, including earthquake rupture processes, tectonic plate boundary imaging, and environmental monitoring via seismology. 2024 EGU Seismology Division Outstanding Early Career Scientist Prize for contributions to seismic imaging, earthquake dynamics, and science communication. Founding editorial board member of the open-access journal Seismica . Research interests span subduction zones , strike-slip faults , collisional zones , and human-induced seismicity , with methodological expertise in computational seismology , ocean-bottom seismology , and machine learning applications . 2024 Science paper on Greenland rockslide-generated tsunamis. 2023 Nature Geoscience study of back-propagating supershear ruptures. 2020 Science paper on global seismic noise reduction during pandemic lockdowns. Teaching includes Numerical Methods (2nd year) and Field Geophysics (3rd year module leader).

David TarbotonView profile

Professor

• Surface Water Hydrology
• Hydrologic Modeling
• Hydrologic Information Systems
• +6 more

Dr. David Tarboton is a Sant Endowed Professor of Water Resources Engineering at the Utah Water Research Laboratory and in the Department of Civil and Environmental Engineering at Utah State University. His work bridges hydrology and information technology, developing tools and models for hydrologic prediction and water resource management. Dr. Tarboton earned his Sc.D. and M.S. in Civil Engineering (Water Resources and Hydrology) from the Massachusetts Institute of Technology in 1989 and 1987, respectively. He also holds a Diploma in Datametrics (Computer Science) from the University of South Africa (1984) and a B.Sc. Eng in Civil Engineering from the University of Natal in South Africa (1981). His research focuses on advancing hydrologic prediction capabilities through the development of models that leverage new information and process understanding enabled by technology. Dr. Tarboton's work synthesizes modeling and numerical analysis with field observations and hydrologic information systems, tailoring software and computing systems to hydrologists' needs. He has made significant contributions to terrain analysis in hydrology, hydrologic modeling, and snowmelt processes. His research crosses the disciplinary interface between hydrology and information technology, with particular emphasis on hydrologic information systems and stochastic hydrology. Dr. Tarboton's recent publications demonstrate a strong focus on collaborative hydrologic information systems, with particular emphasis on HydroShare, a platform he leads the development of for sharing hydrologic data and models. His work increasingly integrates machine learning, cloud computing, and reproducible research methodologies into hydrologic modeling. The research spans applications from the Colorado River Basin to the Great Salt Lake, with growing attention to climate change impacts on water resources. Lifetime Achievement Award, 2025, International Society for Geomorphometry D. Wynne Thorne Career Research Award, 2023, Utah State University David R Maidment Award for Exemplary Contributions to Water Resources Data and Information Systems, 2020, American Water Resources Association Fellow, 2018, American Geophysical Union Multiple Outstanding Researcher awards from Utah State University (2002, 2005, 2015, 2018) Dr. Tarboton has mentored over 30 graduate students throughout his career, including numerous PhD candidates in Civil and Environmental Engineering. His research is supported by significant grants from federal agencies including NSF, USGS, and USDA. He serves as Principal Investigator for major projects including the HydroShare platform, the Institute for Geospatial Understanding through an Integrative Discovery Environment (I-GUIDE), and research on the Colorado River Basin's future hydrology. Dr. Tarboton leads the development of HydroShare (www.hydroshare.org), a hydrologic information system for sharing hydrologic data and models operated by the Consortium of Universities for the Advancement of Hydrologic Science, Inc. (CUAHSI). His research group has developed and supports several open source software packages, including the Terrain Analysis using Digital Elevation Models (TauDEM) package and the Utah Energy Balance snowmelt model.

Kutalmis SaylamView profile

Researcher

• Remote Sensing
• Hydrogeomatics Engineering
• Airborne Lidar Bathymetry
• +3 more

Kutalmis Saylam is a Research Scientist Associate V at the Near-Surface Laboratory within the Bureau of Economic Geology , part of the Jackson School of Geosciences at The University of Texas at Austin. He specializes in airborne lidar bathymetry and remote sensing for hydrographic and topographic mapping. Education: Ph.D. in Geomatics, University of Ottawa M.Eng. in Geodesy and Geomatics Engineering, University of New Brunswick B.S. Eng. in Agricultural and Hydrological Engineering, University of Ankara Visiting Researcher, University of Florida Saylam's research focuses on bathymetric mapping of inland watersheds using lidar systems like the Leica AHAB Chiroptera. He develops quality control procedures for hydrographic surveys, integrates multi-sensor datasets (Lidar, GPR, sonar), and explores applications of NASA's ICESat-2 for remote depth measurement. His recent work includes mapping thermokarst lakes in Alaska , studying Devils River hydrology , and validating ICESat-2 data for Arctic sea ice. Publications highlight advancements in lidar accuracy , environmental monitoring , and rapid-response surveying for hazards. Current collaborations emphasize innovative lidar applications , spectral imaging , and temporal analysis of dynamic Earth systems. Saylam's expertise spans terrestrial and aquatic environments , with fieldwork experience from the Arctic to Texas deserts.

• Meteorology
• Climatology
• Heatwaves
• +4 more

Dr. Agnieszka Krzyżewska is an Assistant Professor in the Department of Hydrology and Climatology at the Faculty of Earth Sciences and Spatial Management, Maria Curie-Skłodowska University in Lublin, Poland. She serves as the Faculty Coordinator for the Erasmus+ Programme and is a board member of the Polish Geophysical Society, Lublin Branch. Her research primarily focuses on: Heatwaves and cold spells in Poland and Europe Urban climate and air quality Bioclimatic conditions using the Universal Thermal Climate Index (UTCI) Climate change impacts on thermal conditions Applications of AI in weather and climate studies Dr. Krzyżewska's scholarly work demonstrates a strong emphasis on extreme weather events, particularly heatwaves, and their impacts on urban environments and human thermal comfort. Her research often centers on the Lublin region but extends to national and European scales. Recent publications indicate a growing interest in applying artificial intelligence tools to climate and weather analysis, reflecting the evolution of her research focus toward more interdisciplinary approaches. Her scientific contributions include numerous publications in reputable journals such as Atmosphere , Sustainability , Weather , and the International Journal of Biometeorology . She has developed significant expertise in analyzing thermal conditions using the Universal Thermal Climate Index and has conducted extensive research on heatwaves in Poland, particularly the significant events in 2015. Dr. Krzyżewska actively contributes to the academic community through her role in the Erasmus+ Programme, facilitating international academic exchanges, and through her membership in the Polish Geophysical Society where she serves on the Lublin Branch board. She maintains regular consultation hours for students on Tuesdays from 12:00-13:00 in room 111D at the Faculty of Earth Sciences and Spatial Management.

Thomas Vikhamar SchulerView profile

Professor

• Mass balance of glaciers
• Glacier hydrology
• Glacier dynamics
• +5 more

Thomas Vikhamar Schuler is a Professor at the Section for Geography and Hydrology (GeoHyd) within the Department of Geosciences at the University of Oslo, Norway. He also holds an Adjunct Professor position at the Arctic Geophysics program of UNIS since 2017. His research focuses on glacier mass balance, hydrology, and dynamics, with strong emphasis on cryosphere modeling and climate change impacts. Education: PhD in Glaciology (2002) from University of Oslo, with a thesis on subglacial water drainage in alpine glaciers. Research Themes: Cryospheric modeling, glacier hydrology, climate-glacier interactions, permafrost dynamics, and machine learning applications in glaciology. Teaching: Courses include GEO9440 – Cryosphere Modelling , GEO4432 – Surface Energy Balance in Cold Environments , GEO4420 – Glaciology , and GEO2300 – Physical Processes in Geoscience . His recent publications (2025-2019) span topics like Antarctic supraglacial lakes, Svalbard glacier mass balance, subglacial friction dynamics, and machine learning frameworks for glacial classification. Articles frequently involve interdisciplinary approaches combining glaciology, hydrology, and climate science, often using field measurements and computational models. Scientific Awards: ERC Starting Grant 'DYNAMICE' (2020) Projects: Leads initiatives like COLOSSAL, EMERALD, ESCYMO, MAMMAMIA, JOSTICE, and SatPerm Collaborations: Active in EarthFlows, Climate Cryosphere, LATICE, and Perma-Nordnet research groups

David James DeleneView profile

Research Professor

• Cloud Physics
• Atmospheric Aerosols
• Airborne Measurements
• +7 more

David James Delene is a Research Professor in the Department of Atmospheric Sciences at the University of North Dakota , with a secondary appointment as Aerospace Research Fellow at the John D. Odegard School of Aerospace Sciences. His expertise spans Cloud Physics , Atmospheric Aerosols , and Airborne Measurements , with a focus on Scientific Programming and Open Source Software development. He has taught advanced courses in Atmospheric Chemistry and Measurement Systems since 2006 and led significant research initiatives including the IMPACTS and FATIMA field campaigns. Education : Ph.D. in Atmospheric Science (University of Wyoming), MS in Geophysics (Michigan Tech), BS in Applied Physics (Michigan Tech) Research Interests center on airborne measurement systems, cloud microphysics, aerosol dynamics, and machine learning applications in meteorology. He develops open-source tools like ADTAE and adpaa_readplot_ccncdata for atmospheric data analysis. His work bridges Remote Sensing with Statistical Analysis to improve weather modification techniques. Scientific Awards include: UND's Spirit Faculty Achievement Award (2014) Golden Remer Awards (2007, 2013) Biggest Techie Award (2009) Delene advises both undergraduate capstone projects and graduate students in Atmospheric Sciences, with recent master's advisees including Kendra Sand (2024) and Joseph O'Brien (2023). He manages the Ballooning Laboratory and maintains the department's Atmospheric Sciences Wiki , contributing to UNIDATA and NASA EPSCoR programs.

• Industry 4.0
• Predictive maintenance
• Data analysis and decision support tools
• +5 more

HAFSI Meriem is a researcher at CESI Lyon , focusing on Computer Science and Information and Communication Sciences and Technology (STIC) . Her work bridges research and education, contributing to both academic and industrial advancements. Education: Doctoral thesis in STIC (Computer Science) from Savoie Mont Blanc University (2018) Master's in Web Intelligence from Jean Monnet University of Saint-Etienne (2014) Master's in IT project management from Mouloud Mammeri University of Tizi-Ouzou (2013) Research interests span Industry 4.0 , Predictive maintenance , Data analysis , Knowledge representation , and Machine learning . Recent work emphasizes hybrid predictive maintenance frameworks, battery state estimation, and security in cyber-physical systems. Selected publications (2014–2023) highlight applications in aerospace, energy systems, and industrial networks. Common themes include data fusion, ontological modeling, and adaptive processing techniques. Labs/teams: Member of the Engineering and Digital Tools research team at CESI Lyon.