Find Academic Supervisors

• Applied Geophysics
• Seismic Monitoring
• Machine Learning in Geoscience
• +7 more

Farbod Khosro Anjom is a fixed-term Assistant Professor and researcher in the Department of Environmental, Land, and Infrastructure Engineering (DIATI) at Politecnico di Torino, Italy. He is affiliated with the College of Environmental and Land Engineering and specializes in Applied Geophysics (GEOS-04/B). He actively contributes to research, teaching, and academic service, including serving as an Associate Editor for the journal Geophysical Prospecting since 2024. His research focuses on applied geophysics with applications in environmental and mining engineering. Key areas include seismic monitoring of landslides and periglacial bodies, machine learning for event classification in passive seismic data, and geophysical characterization of deep and near-surface mines. He employs techniques such as ambient noise tomography, surface wave analysis, and well logging to study geological discontinuities and subsurface structures. His recent publications (2024–2025) highlight a strong trend in integrating machine learning with geophysical data for hazard detection and resource exploration. The works span journal articles and conference proceedings, emphasizing practical applications in mining, landslide early warning, and glacier monitoring. These reflect a multidisciplinary approach combining geophysics, environmental engineering, and data science. He is actively involved in teaching at both PhD and Master’s levels. He is the main teacher for the PhD course Deep Learning Applications in Environmental Engineering and Geoscience (2024/25 and 2025/26) and a course collaborator for Geophysical Exploration and Monitoring and Well Logging and Well Testing in the Master’s program in Georesources and Geoenergy Engineering. Scientific Editorial Role: Associate Editor, Geophysical Prospecting (2024–present) Farbod Khosro Anjom supervises PhD students, notably Valeria Strallo in the Civil and Environmental Engineering PhD program (39th cycle, 2023–ongoing). While specific grants are not mentioned in the text, his active research output and editorial role suggest ongoing research funding and academic leadership. He is part of a research team within DIATI focused on Applied Geophysics, collaborating closely with researchers such as Chiara Colombero, M. Manzi, and V. Socco.

Tobias StackeView profile

Researcher

• Earth System Modeling
• Climate Modeling
• Hydrology
• +9 more

Tobias Stacke is a Scientist in the Department of Climate Dynamics at the Max Planck Institute for Meteorology (MPI-M) in Hamburg, Germany, working within the Climate-Biosphere Interactions group. His research focuses on Earth system modeling, particularly land surface hydrology in Arctic regions, including permafrost, soil hydrology, and wetlands. Research Interests: Dr. Stacke specializes in simulating the Earth's hydrological cycle, with emphasis on Arctic processes and their atmospheric interactions. He contributes to the development of the ICON-LAND model and the creation of sustainable, high-resolution model infrastructure for Arctic landscape representation. Publication Trends: His recent work (2021–2025) centers on permafrost dynamics, global hydrological modeling, climate feedbacks, and Earth system model evaluation. His publications frequently appear in high-impact journals such as Nature Communications , Geophysical Research Letters , and Geoscientific Model Development , often involving large international collaborations and model intercomparisons (e.g., CMIP, ISIMIP). Scientific Roles: Research Scientist, Scientific Programmer, Model Developer Model Development: HydroPy, ICON-LAND, ESMValTool contributions Advising and Grants: There is no public information indicating that Tobias Stacke has supervised students. His research has been supported through major projects such as CRESCENDO, MiKlip, Q-Arctic, and CMIP6 coordination activities at MPI-M, indicating involvement in significant funded initiatives, though specific grants are not listed. Labs and Teams: He is embedded in the Climate-Biosphere Interactions group at the Max Planck Institute for Meteorology, contributing to large collaborative modeling efforts including the development and evaluation of Earth system models. He has also been involved with the IMPRS-ESM (International Max Planck Research School for Earth System Modeling), suggesting engagement with academic training and research coordination.

• Energy Systems
• Sustainable Energy
• Micro Gas Turbines
• +7 more

Mohsen Assadi is a Professor at the Department of Energy and Petroleum Engineering, Faculty of Science and Technology, University of Stavanger (UiS), Norway. His work focuses on sustainable energy technologies, particularly micro gas turbines, hydrogen energy systems, geothermal applications, and AI-driven energy modeling. He actively collaborates with researchers across Europe and contributes to the clean energy transition through techno-economic and performance analyses. Research Interests: His research spans key areas in modern energy systems, including micro gas turbines , hydrogen and fuel-flexible combustion , geothermal energy , thermal energy storage , smart grids , and artificial intelligence applications in energy . He emphasizes techno-economic feasibility, decarbonization strategies, and system integration for residential, industrial, and urban environments. The recent publications highlight a strong trend toward AI-enhanced modeling for heating and cooling prediction, optimization of microgrids with hydrogen and renewables, and innovative energy storage solutions such as subsea pumped hydro and wastewater thermal reservoirs. His work bridges engineering fundamentals with real-world sustainability challenges. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While specific students or grants are not listed, Dr. Assadi frequently co-authors with early-career researchers and engineers, suggesting an active mentoring and advisory role in research projects. His publications appear in high-impact journals and conferences in energy and engineering, indicating sustained research funding and collaborative project involvement. Labs and Teams: Though not explicitly named, his research output suggests involvement in energy systems labs focused on microturbines, geothermal applications, and AI-based energy modeling at the University of Stavanger. He collaborates with interdisciplinary teams across thermodynamics, fluid mechanics, and sustainable urban infrastructure.

Mohsen ZayernouriView profile

Associate Professor

• Numerical Analysis
• Uncertainty Quantification
• Fractional LES Turbulence Modeling
• +5 more

Mohsen Zayernouri is an Associate Professor of Mechanical Engineering at Michigan State University (MSU), leading the Fractional Mathematics for Anomalous Transport and Hydromechanics (FMATH) group within the College of Engineering. His research focuses on developing advanced computational methods to address challenges in fluid dynamics, materials science, and biomedical engineering, leveraging fractional calculus and machine learning. Education : Ph.D., Applied Mathematics, Brown University (2015) Ph.D., Mechanical Engineering, University of Utah (2010) M.Sc., Applied Mathematics, Brown University (2012) M.Sc., Mechanical Engineering, Tehran Polytechnic (2006) Research Interests : Numerical Analysis, Uncertainty Quantification, Fractional PDEs, Anomalous Transport, Turbulence Modeling, and Multiscale Material Failure. His FMATH group specializes in nonlocal modeling, data-driven algorithms, and high-performance computing. Awards : AFOSR YIP Award, ARO YIP Award, ARO MURI, NSF/DOE grants. Grants & Funding : Supported by ARO, AFOSR, NSF, and DOE. Projects include stochastic phase-field modeling for material failure and fractional LES turbulence modeling. Labs/Teams : Leads the FMATH group at MSU, collaborating with institutions globally on computational fluid dynamics, materials science, and biomedical applications.

Daniel CornelView profile

Researcher

• Flood Modeling
• Hydrology
• Computational Fluid Dynamics
• +3 more

Daniel Cornel is a researcher affiliated with TU Wien's Department of Engineering Hydrology, part of the E222-02 research group. He holds a Dipl.-Ing. (engineering diploma) and a Dr.techn. (technical doctorate). His work focuses on integrating computational methods with environmental hydrology, emphasizing flood modeling, high-performance computing, and geospatial visualization. Cornel collaborates extensively with experts like Prof. Günter Blöschl and Prof. Jürgen Waser on projects such as the HORA 3.0 flood risk zoning initiative. His research interests span GPU-accelerated flood simulations, hydrodynamic modeling at regional scales, and decision-support systems for disaster management. Notable contributions include developing interactive visualization tools for real-time flood data and VR-based training modules for emergency response. Cornel also explores algorithm optimization for terrain modeling and subsurface network visualization. Key projects include the 'Integrated Simulation and Visualization for Flood Management' framework and the 'Master of Disaster' VR training system. His work bridges computational science with environmental engineering, addressing both technical challenges and practical applications in flood risk mitigation.

Matthias BraunView profile

Professor

• Glaciology
• Remote Sensing
• Geographic Information Systems
• +7 more

Professor Matthias Braun is a distinguished academic in the field of physical geography, specializing in remote sensing and GIS applications for glaciology and polar research. He holds a professorship at the Institute of Geography at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he leads the Chair of Geography (Remote Sensing and GIS) and serves as Chairman of the Examination Board for B.Sc./M.Sc. Physical Geography and BA/MA Cultural Geography since 2022. His research focuses on monitoring glacier dynamics, ice sheet changes, and climate impacts in polar and mountainous regions using advanced remote sensing techniques. Professor Braun has held several significant leadership positions including Chairman of the International Doctoral Program 'Measuring and Modelling Mountain Glaciers in a Changing Climate' in the Bavarian Elite Network funded by the Bavarian Ministry of Science & Art since 2022, and Coordinator of the DFG SPP Antarctic Research since 2017. His academic journey includes an Associate Professor position at the University of Alaska Fairbanks (2010-2011) and extensive field experience leading multiple Arctic and Antarctic expeditions since 1994/95, with research stays in Alaska, South America, West & East Africa, Himalaya & Karakorum. His research interests span glaciology, remote sensing, geographic information systems, climate change impacts, land use change, polar regions, and high mountain environments. Professor Braun's work integrates microwave and optical remote sensing data from satellite and airborne platforms to derive geobiophysical parameters and their spatiotemporal variations. He employs advanced digital image processing, pattern recognition, SAR interferometry, and polarimetry techniques in his research. His laboratory maintains active participation in major research initiatives including the TanDEM-X and TanDEM-L Science Teams since 2010. Professor Braun's extensive publication record demonstrates a clear progression from foundational work on glacier monitoring to sophisticated applications of machine learning and deep learning for glacier feature extraction. His recent work focuses on calving front detection using SAR imagery, glacier velocity mapping, and integration of multi-sensor data for comprehensive glaciological analysis. Key research themes include glacier mass balance, ice sheet dynamics, supraglacial hydrology, and climate change impacts on cryospheric systems across diverse regions including Antarctica, Patagonia, the Himalayas, and the European Alps. Among his notable recognitions is the 2009 Science Award for Physical Geography from the Prof. Dr. Frithjof Voss Foundation for Geography and his Habilitation at the Mathematical-Natural Science Faculty of the University of Bonn in 2009. He serves as an Associate Editor for Frontiers in Earth Sciences – Cryospheric Sciences and reviews for numerous peer-reviewed journals. Professor Braun has mentored numerous doctoral students to completion, with recent graduates including Dr. Christian Sommer (2022), Dr. David Farias Barahona (2021), Dr. Stefan Lippl-Seifert (2020), and Dr. Peter Friedl (2019). Several students are currently completing their dissertations under his supervision. His research is supported by various funding mechanisms including the Bavarian Elite Network, DFG research programs, and international collaborations. He maintains strong connections with national and international research institutions including membership in the International Glaciological Society (IGS), German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF), German Society for Polar Research (DGP), and German Society for Geography (DGfG).

• Physics-based statistical signal processing
• Subsurface sensing
• Auditory prostheses
• +6 more

Leslie M. Collins is a distinguished Professor of Electrical and Computer Engineering, Professor of Biomedical Engineering, and Professor in the Department of Head and Neck Surgery & Communication Sciences at Duke University's Pratt School of Engineering. She is also a Faculty Network Member of the Duke Institute for Brain Sciences, demonstrating her interdisciplinary reach across engineering, medicine, and neuroscience. Dr. Collins earned her BSEE from the University of Kentucky, followed by MSEE and PhD degrees from the University of Michigan, Ann Arbor. After working as a Senior Engineer at Westinghouse Research and Development Center from 1986 to 1990, she joined Duke University in 1995 as an Assistant Professor, was promoted to Associate Professor in 2002, and to full Professor in 2007. Her research spans physics-based statistical signal processing, subsurface sensing, auditory prostheses, and pattern recognition. Dr. Collins has made significant contributions to landmine detection systems, having been part of the team that transitioned MURI-developed algorithms to the Army HSTAMIDS and GSTAMIDS systems. Her work on cochlear implants and brain-computer interfaces represents groundbreaking advances in auditory prosthetics and neural engineering. She has secured substantial research funding from agencies including ARO, NVESD, SERDP, ESTCP, NSF, and NIH. Analysis of her recent publications reveals a strong trajectory toward integrating deep learning with traditional signal processing approaches across multiple domains. Her work bridges military applications (landmine detection), medical technology (cochlear implants, heart monitoring), and infrastructure analysis (power grid mapping), demonstrating remarkable versatility in applying core signal processing principles to diverse real-world problems. DoD UXO Cleanup Project of the Year (2000) Member of Tau Beta Pi honor society Member of Sigma Xi honor society Member of Eta Kappa Nu honor society Dr. Collins has been a dedicated mentor, graduating 15 PhD students as of 2015. Her research has been supported by numerous grants from major federal agencies including ARO, NVESD, SERDP, ESTCP, NSF, and NIH, reflecting the significance and impact of her work across defense, environmental, and medical applications. She has played a key role in translating research into practical systems, particularly in landmine detection where her work has directly impacted military operations. Her research group operates at the intersection of multiple laboratories and teams, including collaborations with the Duke Institute for Brain Sciences and various medical departments at Duke. This interdisciplinary approach enables her to tackle complex problems that span traditional academic boundaries, from developing algorithms for landmine detection to creating improved speech processing for cochlear implant users.

• Computer Communications
• Fluid Modeling
• Parallel Computing
• +5 more

Miloš Ivanović serves as an Assistant Professor at the Institute of Mathematics and Informatics within the Faculty of Natural Sciences and Mathematics at the University of Kragujevac. His academic career is deeply rooted in computer science and computational mathematics, with research spanning multiple interdisciplinary domains that bridge theoretical computer science with practical applications in engineering, physics, and biology. Dr. Ivanović earned his Doctorate in Computer Science from the Faculty of Natural Sciences and Mathematics (PMF) at the University of Kragujevac, establishing a foundation for his subsequent research career focused on computational methods and high-performance computing. His research interests represent a sophisticated convergence of computational theory and practical applications. Ivanović specializes in advanced computing paradigms including grid computing, GPGPU computing, and cloud-based high-performance computing systems. His work in fluid modeling employs meshless methods and particle dynamics approaches, particularly SPH and DPD techniques applied to microfluidic systems. The breadth of his research extends from theoretical mathematics (graph theory and chemical indices) to practical applications in hydrology, biomedical engineering, and nuclear physics. His interdisciplinary approach enables innovative solutions across diverse scientific domains that require intensive computational resources. The collection of his publications reveals a consistent trajectory of research focused on computational methods with applications spanning multiple scientific disciplines. His work demonstrates strong expertise in parallel computing architectures and their application to complex scientific problems. The publications show a progression from fundamental computational mathematics toward increasingly complex multi-domain applications, particularly in biomedical and environmental systems. His research consistently addresses the challenge of implementing computationally intensive methods on distributed and parallel architectures to solve real-world scientific problems. Throughout his career, Ivanović has participated in numerous national and European research and infrastructure projects, including FP6, FP7, and Tempus initiatives. His collaborative approach is evident in the diverse range of co-authors spanning multiple institutions and disciplines, reflecting his ability to bridge computational science with domain-specific applications. Dr. Ivanović is affiliated with the Group for Mathematical Modeling and Computer Simulations, which develops computational solutions across various domains including fluid dynamics, biomedical applications, and environmental modeling. The group's work encompasses software development for simulation purposes, as evidenced by projects like the SPH07 software package and various specialized simulation tools for engineering and biomedical applications.

• Water Quality
• Agricultural Drainage
• Controlled Drainage
• +4 more

Ehsan Ghane is an Associate Professor in the Department of Biosystems and Agricultural Engineering at Michigan State University . As a Drainage Extension Specialist , his work bridges research and extension, focusing on water quality and agricultural drainage . He engages with producers, drainage contractors, and conservation professionals to translate applied research into practical solutions. Current: Associate Professor (2023–Present) Previous: Assistant Professor (2017–2023) University of Minnesota Postdoctoral Research (2014–2016) Ohio State University Graduate Research (2009–2014) Research & Extension Interests center on enhancing subsurface drainage systems for profitability and environmental sustainability. He advocates for practices like controlled drainage , saturated buffers , and drainage water recycling , supported by field-scale modeling of water management systems. Article Trends highlight his focus on machine learning for nutrient loss analysis, bioreactor scalability for nitrate removal, and design optimization of drainage infrastructure. His work spans hydrological modeling , phosphorus transport , and climate adaptation in agricultural systems. Grants & Initiatives : Led a USDA grant (2020) to improve agricultural water quality. His Drain Spacing Tool (2023) aids in maximizing profit through optimized drainage design. Labs & Teams : Collaborates with the MSU Extension and contributes to the Drainage Extension Website , providing educational resources for stakeholders.

Ellen A. CowanView profile

Professor

• Glacial-Marine Sedimentology
• Sediment Transport
• Geoarchaeology
• +3 more

Dr. Ellen A. Cowan is a Professor in the Department of Geological and Environmental Sciences at Appalachian State University, part of the College of Arts and Sciences. She has taught courses such as Introduction to Physical Geology, Oceanography, Geomorphology, and Geoarchaeology since joining the faculty in 1988. Her research focuses on glacial-marine sedimentology, coal ash transport in rivers, and geoarchaeological assessments of historic sites in North Carolina. B.A., Albion College M.S., Northern Illinois University Ph.D., Northern Illinois University Dr. Cowan's research spans glacial-marine sedimentology , examining tidewater glaciers in southeastern Alaska, and coal ash transport in aquatic ecosystems, particularly in the southeastern U.S. She also applies geoarchaeological methods to map historic sites, integrating geophysics and archival data. Her recent publications highlight trends in environmental contamination tracing, ice sheet-climate interactions, and geophysical prospection for cultural heritage preservation. Scientific awards include the Don Sink Outstanding Scholar Award (1999) , the Undergraduate Research Mentorship Excellence Award (2018) , and recognition as a Fellow of the Geological Society of America (2018) . She actively involves students in field research, particularly during summer expeditions in Alaska. Her work has been published in journals covering environmental science, geology, and geophysics, with a focus on climate-ice sheet dynamics and pollution monitoring.

Maša SurićView profile

Professor

• Paleoclimatology
• Karstology
• Speleothem Science
• +4 more

Maša Surić is a Full Professor at the University of Zadar , affiliated with the Department of Geography . Her research focuses on paleoclimatology, karstology, and speleothem-based environmental reconstructions. PhD in Natural Sciences (Geosciences/Geology, 2006, University of Zadar) MSc in Natural Sciences (Oceanography, 2002, University of Zagreb) BSc in Engineering Geology and Hydrogeology (1995, University of Zagreb) Her work spans interdisciplinary studies of Quaternary climate variability, isotopic analysis of cave deposits, and geohazard assessments in karst systems. Key projects include VENTSPIS (cave ventilation effects on environmental records) and collaborations on REQUENCRIM (speleothem isotopes for paleoclimate studies). Recent publications highlight her expertise in speleothem geochemistry, CO2 dynamics in cave atmospheres, and holocene climate reconstruction using isotope methods. She actively contributes to global speleothem databases and cave monitoring protocols. Professor Surić teaches courses on Basics of Geology , Oceanography , and Paleoclimatology . Contact: msuric@unizd.hr , Office 27, University of Zadar.

• Permafrost
• Alpine Geomorphology
• Subarctic Environments
• +4 more

Christof Kneisel is a Professor in Physical Geography at the University of Würzburg's Institute of Geography and Geology. As a leading researcher in permafrost and alpine geomorphology, he focuses on frozen ground dynamics, glacial-permafrost interactions, and geophysical methods for subsurface characterization across the Swiss Alps, Austria, Northern Sweden, and Iceland. His research integrates field data, GIS analysis, and 3D resistivity imaging to model environmental system responses to climate change. Key research areas include: Permafrost mapping and monitoring Application of geophysical techniques Soil science in cold climates Natural hazard assessment in alpine zones Climate-landform interactions His recent publications emphasize 3D electrical resistivity applications, permafrost dynamics in talus slopes, and carbon pool formation in alpine soils. Current projects funded by the German Research Foundation (DFG, KN 542/21-1) and federal ministries explore climate resilience in Bavarian agriculture through geospatial big data integration. Notable scientific contributions include: Advancing 3D geophysical monitoring for frozen ground Conceptual models of periglacial systems Key textbook co-authorship in physical geography International collaborations with Canada's Geological Survey

Saied MostaghimiView profile

Professor

• Nonpoint Source Pollution Control
• Watershed Management
• Water Quality Modeling
• +3 more

Saied Mostaghimi is the H.E. and Elizabeth F. Alphin Professor in the Department of Biological Systems Engineering at Virginia Tech. He serves as the Associate Dean for Research in the College of Agriculture and Life Sciences and directs the Biodesign and Bioprocessing Research Center (BBRC). His research spans nonpoint source pollution control, watershed management, and bioprocessing of agricultural wastes. Ph.D. in Agricultural Engineering, University of Illinois (1982) M.S. in Agricultural Engineering, University of Illinois (1979) B.S. in Irrigation Engineering, Pahlavi University, Iran (1976) His work focuses on nonpoint source pollution control , watershed-scale management practices , and simulation models for water quality assessment. BBRC, under his leadership, converts agricultural waste into value-added products, securing $3.2M in funding. He also led EU-US collaborations to enhance biosystems engineering education globally. Notable awards : Alumni Award for Excellence in Outreach (2009) Hancor Soil and Water Award (2008) Fellow of ASABE (2006) Recent grants include USDA-NIFA funding for BBRC and Department of Education support for international policy measures. He has advised numerous graduate students in water quality, pathogen transport, and watershed modeling.

Bernd EtzelmüllerView profile

Professor

• Geocryology
• Permafrost
• Glaciology
• +8 more

Bernd Etzelmüller is a Professor at the Section for Geography and Hydrology (GeoHyd) within the University of Oslo , specializing in geocryology , permafrost dynamics , and glacial/periglacial geomorphology . His research focuses on Arctic and mountain cryosphere systems , ground thermal regime modeling , and geohazard assessment related to permafrost degradation. Key projects include CryoWALL (steep permafrost slopes), PERMANOR (Norwegian permafrost landscapes), and SatPerm (satellite-based permafrost modeling). He leads international collaborations on permafrost warming, infrastructure risks, and climate-terrain interactions. His recent publications examine permafrost degradation patterns (2024), frost weathering processes (2023), and rock slope stability in subarctic regions (2022). Research spans Arctic Science , Earth Surface Dynamics , and Nature Communications , with emphasis on climate change impacts and modeling tools like CryoGrid. Awards and grants are not explicitly listed, but his work informs infrastructure risk assessments and permafrost education frameworks across the Nordic region.

Ronny BochView profile

Researcher

• Carbonates
• Tunneling
• Geothermal Energy
• +5 more

Ronny Boch is a Researcher & Lecturer at the Graz University of Technology and a Research Associate at the University of Vienna . His work bridges carbonate geochemistry , tunnel drainage systems , and geothermal energy to address challenges like mineral scaling , microbial processes , and material alteration .