Find Academic Supervisors

Florencia MalamudView profile

Researcher

• Neutron Imaging
• Materials Science
• Crystallography
• +3 more

Florencia Malamud is a Researcher and Instrument Scientist at the Paul Scherrer Institute (PSI), leading the POLDI instrument in the Laboratory for Neutron Scattering and Imaging. Her work focuses on advanced neutron-based techniques for material characterization, including Bragg edge imaging, diffraction contrast imaging, and texture analysis. She specializes in studying crystallographic structures, phase transformations, and mechanical behaviors in materials such as high-Mn steels, superalloys, and superconductors. Her research integrates experimental methods like neutron diffraction and tomography to investigate industrial materials (e.g., additive manufacturing components) and historical artifacts (e.g., Napoleonic-era copper bolts). Key areas include optimizing material properties through composition and processing, and understanding deformation mechanisms in metallic materials. Malamud’s publications span materials science, metallurgy, and neutron scattering applications. She collaborates on projects involving nuclear-grade materials, aerospace alloys, and archaeological metallurgy. Her work emphasizes bridging fundamental physics with applied engineering challenges. No scientific awards are explicitly mentioned. Her advising and grants are not detailed in the provided texts. She is affiliated with PSI’s neutron scattering laboratory and contributes to instrumentation development for advanced materials research.

• Environmental Science
• Agricultural Change
• Earth Observation Technologies
• +5 more

Lyndon Estes is an Associate Professor in the Graduate School of Geography at Clark University. His research focuses on the drivers and impacts of agricultural change, utilizing Earth Observation technologies and modeling techniques such as neural networks. He has contributed to interdisciplinary studies in conservation biology, agricultural economics, and geospatial analysis, with a particular emphasis on African ecosystems and smallholder farming systems. Dr. Estes' work spans multiple domains, including landscape connectivity for wildlife conservation, transportation infrastructure impacts on agricultural supply chains, and the application of advanced machine learning methods to remote sensing data. He has authored over 19 publications, with recent contributions appearing in journals like Remote Sensing , Field Crops Research , and Agricultural Systems . In editorial roles, he serves as Specialty Chief Editor for 'AI in Food, Agriculture and Water' at Frontiers in Artificial Intelligence . His research integrates technical innovation with practical applications, addressing global challenges in sustainability and food security.

• Irrigation
• Water Conservation
• Agricultural Engineering
• +6 more

GÜLÇİN ECE ASLAN is an Assistant Professor at Akdeniz University's Faculty of Agriculture in the Department of Agricultural Structures and Irrigation. She has been affiliated with Akdeniz University since 2009, initially as a Research Assistant (2009-2018) before assuming her current faculty position. Her academic journey includes a PhD (2009-2018) and MSc (2009-2012) from Akdeniz University in Agricultural Structures and Irrigation, and a BSc in Soil Science from Canakkale Onsekiz Mart University (2004-2008). Her research focuses on sustainable water management in agriculture, with expertise in: Salinity stress monitoring using spectroradiometric techniques Irrigation optimization for Mediterranean crops Water conservation strategies in arid regions Remote sensing applications in precision agriculture Groundwater quality and contamination analysis She leads research on crop responses to abiotic stresses, particularly in tomatoes, stevia, and cucumbers, employing hyperspectral and VNIR spectroscopy for non-destructive plant health assessment. Her publications demonstrate a consistent focus on water-stress physiology, with 80% of articles analyzing salinity/drought impacts on crops. Recent work shows a shift toward sustainability metrics and economic assessments in greenhouse agriculture. She has supervised 6 graduate theses and secured international funding including Horizon 2020 projects like SafeH20 Farm ($2023-2026) and IGUESSMED ($2020-2024) focused on IoT-based irrigation and pollution reduction.

Susan L. UstinView profile

Professor

• Remote Sensing
• Imaging Spectroscopy
• Ecosystem Ecology
• +9 more

Susan L. Ustin is a Professor in the Department of Land, Air, and Water Resources at the University of California Davis, where she has been a faculty member since 1999. She is also the Associate Director of the John Muir Institute of the Environment and Head of the Center for Spatial Technologies and Remote Sensing (CSTARS). Her academic journey began with a Ph.D. in Botany from UC Davis in 1983, followed by a postdoctoral fellowship working with NASA's Jet Propulsion Laboratory on imaging spectroscopy. Ph.D. in Botany, University of California Davis, 1983 M.A. in Biology, California State University, Hayward, 1978 B.S. in Biology, California State University, Hayward, 1974 Dr. Ustin is a leading expert in remote sensing, with over 30 years of experience applying imaging spectroscopy, LiDAR, thermal, and multispectral data to ecological and environmental problems. Her research spans landscape and ecosystem ecology, focusing on vegetation mapping, invasive species detection, canopy water content estimation, wildfire risk modeling, and climate change impacts. She has developed novel methods for quantifying biophysical and biochemical properties of vegetation using remote sensing technologies. Her recent publications demonstrate a strong trend in integrating multiple remote sensing platforms (LiDAR, hyperspectral, thermal, satellite) to study complex ecological systems. Key research areas include fuel type and canopy structure mapping for wildfire risk, biochemical analysis of plant species, and monitoring environmental disturbances such as oil spills and hurricanes. She has been a key member of NASA's MODIS Science Team and the HyspIRI Preparatory Science Team, contributing to major Earth observation missions. Elected Fellow, American Geophysical Union (AGU), 2017 Honorary Doctorate, University of Zurich, Switzerland, 2010 Outstanding Service Award, American Society of Photogrammetry and Remote Sensing, 2004 Elected Senior Member, IEEE, 2004 SERDP Conservation Project of the Year Award, 2004 Elected Fellow, The Remote Sensing and Photogrammetry Society, 2002 Dr. Ustin has advised numerous graduate students and postdoctoral scholars and has led major research initiatives including the Center for Spatial Technologies and Remote Sensing. She has secured significant research funding from NASA, DOE, and other agencies to support her work on global environmental change and remote sensing applications. Her collaborations span across institutions and disciplines, including work with the National Research Council and Battelle on NEON. She leads the Center for Spatial Technologies and Remote Sensing (CSTARS), which focuses on developing and applying advanced remote sensing technologies for environmental monitoring. The center works on projects ranging from agricultural productivity to wildfire risk assessment and ecosystem health monitoring using airborne and satellite platforms.

Rishabh DabralView profile

Researcher

• 3D Computer Vision
• Computer Graphics
• Multi-Modal Interactions
• +6 more

Rishabh Dabral is a Research Group Leader at the Max Planck Institute for Informatics since August 2024, leading the "3D Visual Intelligence" group. He is also affiliated with the Research Training Group on Neuro-Explicit Models of Language, Vision, and Action at Saarland University. Expertise: 3D computer vision, computer graphics, human-object interaction modeling, and motion synthesis. Leadership: Conducts cutting-edge research on 3D human performance capture and physical plausibility in motion. His research focuses on: 3D human pose estimation under gravity constraints Multi-modal gesture synthesis using neural architectures Quantum auto-encoding for 3D representations Wearable robotics informed by human behavior Temporal dynamics in human-object interaction Recent publications at top venues like SIGGRAPH , CVPR , and ICCV demonstrate his work on: Music-driven motion synthesis Egocentric motion capture systems Reactive two-person interaction models Diffusion-based gesture generation Object-aware motion prediction Wearable robotic limb design

Yu KangView profile

Professor

• Precision Agriculture
• Remote Sensing
• Plant-Environment Interactions
• +3 more

Prof. Yu Kang is a Professor of Precision Agriculture at the TUM School of Life Sciences, Technische Universität München (TUM). His research focuses on integrating imaging, sensing, and computational methods to study plant-environment interactions. He aims to enhance resource efficiency and reduce environmental impact through precision crop management. Prior to TUM, he held positions at China Agricultural University (CAU) and conducted postdoctoral research at ETH Zurich and KU Leuven. Prof. Yu's career includes roles such as Associate Professor of Crop Science at CAU and postdoctoral fellowships in physical geography. His educational background includes a doctoral degree from the University of Cologne (2014) and undergraduate studies at China Agricultural University. Key research areas include remote sensing for crop health monitoring, hyperspectral imaging for disease detection, and machine learning applications in agriculture. His work has led to innovations in crop nitrogen management and precision phenotyping. Awards include the Innovation Team Award (2019) from the Crop Science Society of China and the GSGS Fellowship (2014) from the University of Cologne.

Michael ThielView profile

Researcher

• Remote Sensing
• Climate Change
• Agricultural Land Use
• +4 more

Dr. Michael Thiel is a Senior Scientist at the Chair of Remote Sensing at Julius-Maximilians-Universität Würzburg, affiliated with the Philosophische Fakultät and the Department of Remote Sensing within the Institute of Geography and Geology. His academic career includes leadership roles in projects like WASCAL, TelePAtH, and AgriSens DEMMIN 4.0, focusing on climate change impacts in West Africa, remote sensing applications for agriculture, and urban development analysis. He holds a PhD in Remote Sensing from the University of Trier (2013), specializing in SAR data texture analysis for urban area characterization. His research integrates satellite data with geospatial tools to study land use dynamics, climate adaptation strategies, and environmental conservation across Africa and Central Asia. Key research areas include: Climate change impacts on agriculture and urban systems Remote sensing of land cover/land use changes Satellite-based monitoring of soil sealing and impervious surfaces GIS applications for sustainable resource management Decision support systems for climate-resilient agriculture His 2025 publications highlight advancements in spatial decision support systems for West African agriculture, climate adaptation strategies in urban areas, and the use of Earth observations to assess maize cropping systems' vulnerability to climate variability. Recent work also addresses rural industrialization effects on migration patterns and biodiversity conservation. Dr. Thiel is affiliated with organizations like the African Studies Association Germany and serves on the advisory board of the AWARD - One Planet Fellowship. He contributes to international collaborations such as the Climate Change and Land Use Graduate School at Kwame Nkrumah University of Science and Technology (Ghana). His research outputs include over 50 peer-reviewed articles since 2007, focusing on remote sensing techniques for environmental monitoring, urban dynamics analysis, and agricultural sustainability in developing regions.

• Topological Data Analysis
• Dynamical Systems
• Machine Learning
• +7 more

Firas Khasawneh is an Associate Professor at the Department of Computational Mathematics, Science and Engineering at Michigan State University. His research focuses on the intersection of topological data analysis, dynamical systems, and machine learning with applications in engineering, neuroscience, and biological systems. Topological Data Analysis - Persistent Homology, Zigzag Persistence, Data Assimilation Dynamical Systems - Bifurcation Detection, Delay Differential Equations, Nonlinear Dynamics Machine Learning - Applications in Signal Processing, Surface Texture Analysis, Neural Activity Modeling His recent publications (2023-2025) demonstrate a strong emphasis on topological approaches for analyzing complex systems, including neural activity characterization, vibration analysis in manufacturing processes, and data assimilation techniques for forecasting. He has developed computational tools like the Teaspoon Python package for topological signal processing.

• Signal and Image Processing
• Machine Learning
• Computer Science
• +6 more

Yannick Berthoumieu is a Professor at the Université de Bordeaux , affiliated with the IMS Bordeaux laboratory. He leads the MOTIVE team under the Signal and Image Processing research group. His work spans Signal and Image Processing , Machine Learning , and Remote Sensing , with a focus on SAR image analysis, generative models, and geometric learning.

Clinton Phillips ConradView profile

Professor

• Geodynamics
• Geophysics
• Tectonics
• +4 more

Clinton Phillips Conrad is a Professor of Mantle Dynamics at the University of Oslo's Department of Geosciences and Centre for Planetary Habitability. His research focuses on understanding Earth's dynamic interior through 3D modeling of mantle deformation, constrained by seismic/geodetic observations and geological indicators. He studies interactions between Earth's interior and surface processes including topography, plate motions, volcanism, and climate change. Research Interests Conrad's group develops advanced models examining how mantle dynamics influence surface environments. Key research areas include: Mantle geodynamics and deformation mechanisms Interactions between deep Earth processes and surface topography/volcanism Impacts of ice mass changes on solid Earth deformation Seismic and magnetotelluric constraints on mantle properties Evolution of plate tectonics and continental stability His work integrates geophysical observations with computational modeling to understand planetary habitability. Publication Analysis Conrad's recent publications (2021-2025) demonstrate a strong focus on: Mantle water distribution and its role in volcanism Glacial-isostatic adjustment and ice sheet interactions Anisotropic viscosity and mantle rheology Plume-lithosphere interactions in continental settings Cratonic stability mechanisms Sea level and paleogeographic reconstructions Methodologically, his work combines numerical modeling with seismic, geodetic, and magnetotelluric data analysis. Projects and Leadership Conrad leads several major research initiatives: ANIMA: ANIsotropic Viscosity in MAntle Dynamics ERC Starting Grant: DYNAMICE (ice-mantle dynamics interplay) MAGPIE: Magnetotelluric Analysis for Greenland and Postglacial Isostatic Evolution POLARIS: Evolution of the Arctic in deep time He maintains the MAGPIE blog documenting field research and maintains a research group developing mantle convection models.

Dewar FinlayView profile

Professor

• Healthcare Technology
• Artificial Intelligence
• Digital Signal Processing
• +5 more

Dewar Finlay is a Professor of Electronic Systems and Head of the School of Engineering at Ulster University . He previously served as Research Director for the School of Engineering and Interim Associate Dean for Research & Impact within the Faculty of Computing, Engineering and the Built Environment. His work bridges healthcare technology and computational engineering. Education: BEng in Electronic Systems, Ulster University PhD in Computing, Ulster University Research Interests: His research focuses on healthcare technology with emphasis on computerised ECG analysis and deep learning applications in cardiology . He explores AI-driven diagnostics , signal processing , and medical device validation through projects like DTNet+ Digital Twin Network and IoT-Driven Cybersecurity Framework for Intrusion Detection in Drones . Scientific Awards: Best Poster (2024) - Calibrated Uncertainty AI in ECG Analysis Early Career Investigators Award (2022) - British Society for Heart Failure Grants & Collaborations: He has secured funding from EU Horizon 2020 , RCUK , DEL , and InvestNI . Current projects include AI-assisted echocardiography for congenital heart defects in Sub-Saharan Africa and federated learning frameworks for cardiac healthcare.

Bert StegemannView profile

Professor

• Photovoltaics
• Physics
• Lasers
• +5 more

Bert Stegemann is a Professor at HTW Berlin - University of Applied Sciences , affiliated with the Department of Engineering I. His research focuses on Photovoltaics , Lasers , and Materials Science , with specialization in Perovskite solar cells , CIGSe solar cells , and monolithic interconnection schemes . Department: Engineering I Research Clusters: Climate-friendly energy systems, Laser patterning, Tunnel oxide passivation Research Trends (2014-2025): Stegemann has published extensively on laser patterning techniques for photovoltaic modules, particularly analyzing nanosecond vs. picosecond pulse effects on perovskite and CIGSe materials. His work explores interface passivation methods for silicon and chalcopyrite semiconductors, aiming to reduce recombination losses and improve industrial scalability of solar cell fabrication. Collaborative Networks: Stegemann collaborates with institutions like the Helmholtz-Zentrum Berlin and the German-American Fulbright Commission . His publications involve co-authors such as Christian Schultz , Eva Unger , and Markus Fenske . Advising & Institutional Roles: He has supervised 2 doctorates and participates in departmental governance as a member of the Department Council and Renewable Energies committees.

Thomas SheldrakeView profile

Assistant Professor

• Volcanology
• Geochemistry
• Geochronology
• +3 more

Thomas Sheldrake is an SNSF Eccellenza Professorial Fellow (Assistant Professor) at the Department of Earth Sciences, University of Geneva. His research focuses on magmatic processes, volcanic systems, and geochronological methods with applications to understanding eruption dynamics and tectonic interactions. He specializes in integrating geochemical, petrological, and computational approaches to study magma evolution and volcanic hazards. Research interests include: Magmatic system evolution and eruption triggers Zircon-based geochronology and petrochronology Volcanic crystal records of magma storage and degassing Remote sensing of volcanic structures using micro-CT Statistical modeling of volcanic eruption data His work spans field-based studies in the Caribbean, Iceland, and Italy, alongside computational methods for mineral analysis. Notable contributions include linking sea-level changes to magmatic pulses during the Messinian crisis and developing zircon age spectra techniques for magma evolution quantification. His recent 2025 study on Caribbean coral porosity demonstrates interdisciplinary approaches bridging geology and environmental science. Scientific Awards: SNSF Eccellenza Professorial Fellowship Research collaborations involve institutions globally, with frequent co-authorship on topics ranging from Holuhraun eruption geochemistry to Saint Kitts volcanic stratigraphy. His work emphasizes bridging fundamental geoscience with applied volcanic hazard assessment.

• Computer Vision
• Computer Graphics
• Machine Learning
• +4 more

Dr. Marc Habermann is a Tenured Senior Researcher and Scientific Manager of the Real Virtual Lab at the Max Planck Institute for Informatics (Department 6: Visual Computing and Artificial Intelligence). He leads the Graphics and Vision for Digital Humans research group, focusing on cutting-edge technologies in Computer Vision, Computer Graphics, and Machine Learning. His work emphasizes real-time human performance capture, photorealistic animation synthesis, and generative 3D human models derived from video data. Research Interests: Computer Vision, Computer Graphics, Machine Learning, Human Performance Capture, Non-Rigid Deformation Reconstruction, Neural Rendering, and Motion Capture. His contributions span topics like Gaussian splats optimization, sparse-view avatar synthesis, and physics-based cloth simulation. Awards: Saarland University Associate Fellow (2025) Key Publications (2025): Second-order Optimization of Gaussian Splats with Importance Sampling (arXiv) GIGA: Generalizable Sparse Image-driven Gaussian Avatars (arXiv) EVA: Expressive Virtual Avatars from Multi-view Videos (Siggraph 2025) Labs & Projects: Manages the Real Virtual Lab and heads the Graphics and Vision for Digital Humans group, advancing technologies for digital human avatars and immersive telepresence systems.

Kayla NguyenView profile

Assistant Professor

• Electron Microscopy
• Ptychography
• Magnetism
• +3 more

Kayla Nguyen is an Assistant Professor in the Department of Physics at the University of Oregon, affiliated with the College of Arts and Sciences. Her research focuses on advancing electron microscopy techniques, particularly ptychography, to study magnetism, topology, and material properties at the angstrom scale. She leads the kxnlab , which develops innovative imaging methods for topological materials, magnetic textures, and nanoscale systems. Key research interests include high-resolution imaging beyond diffraction limits, cryo-electron microscopy for biological specimens, and quantitative analysis of magnetic materials using 4D-STEM and Lorentz microscopy. Her work integrates computational approaches with experimental techniques to address challenges in material characterization and structural analysis. Nguyen’s publications highlight advancements in ptychography, sub-angstrom resolution, and imaging chiral magnetic systems. Her research often bridges fundamental physics with applications in nanotechnology, materials science, and art conservation (e.g., analyzing pigments in historical artworks). Advising and grants: While specific grant details are not listed, her research aligns with cutting-edge microscopy and materials science initiatives. She mentors graduate students in experimental and theoretical projects related to her lab’s focus areas. Labs/teams: The kxnlab collaborates with interdisciplinary groups to pioneer microscopy innovations, including air-compatible electron microscopy and pixel array detector technologies.