Find Academic Supervisors

Mohamed AlyView profile

Professor

• Geospatial Technologies
• Remote Sensing
• Geohazard Assessment
• +3 more

Mohamed Aly is a Professor at the University of Arkansas, affiliated with the Department of Geosciences, Center for Advanced Spatial Technologies (CAST), Arkansas Center for Space & Planetary Sciences, and Environmental Dynamics (ENDY) Program. His research integrates Synthetic Aperture Radar Interferometry (InSAR), GIS, GNSS, and machine learning for geohazard assessment and environmental monitoring. Education: PhD in Geology (Radar Interferometry), Texas A&M University MS in Geology (Remote Sensing & GIS), Zagazig University Research focuses on InSAR for crustal deformation, machine learning in geospatial analysis, wildfire and landslide susceptibility modeling, and geothermal process monitoring. Recent publications emphasize multisensor data fusion and Google Earth Engine applications. Scientific awards include NASA EPSCoR Early Career Investigator, Fulbright College Teaching Commendation, and Academic Excellence from Texas A&M. He mentors students in geohazard research and geospatial technologies.

Christopher JamesView profile

Senior Lecturer

• Hypersonics
• Aerospace Engineering
• Planetary Entry
• +3 more

Dr. Christopher James is a UQ Amplify Senior Lecturer at the School of Mechanical and Mining Engineering , University of Queensland (UQ). He is an affiliate of the Centre for Hypersonics , where he combines experimental hypersonics with planetary entry research . PhD in Mechanical Engineering (UQ, 2012-2016) with cotutelle at École Centrale Paris (2014-2015) ARC DECRA Fellow (2021-2023) for Mars return studies Research Focus: Specializes in experimental hypersonics , particularly expansion tube/shock tunnel development and planetary entry aerothermodynamics . His work addresses non-equilibrium radiation , ablation testing , and optical/radio-based measurement techniques for extreme atmospheric entry scenarios. Scientific Contributions: Authored 37+ journal articles and 69+ conference papers. Key areas from recent publications include Hayabusa2 re-entry spectroscopy , superorbital heat flux control , and multi-mode shock tunnel design . Awards: UQ EAIT Faculty Early Career Researcher Award (2020) AIAA Ground Test Best Paper Award (2021) Supervision: Mentors students in planetary entry flows , Titan mission thermal systems , and non-equilibrium radiation-ablation coupling through UQ's hypersonic facilities. Led NASA OSIRIS-REx re-entry observation missions. Outreach: Regular contributor to The Conversation (200,000+ reads), interviewed for YouTube/radio, and invited speaker at University of Oxford and Engineers Australia seminars.

Qiang ZhangView profile

Senior Lecturer

• Gas Turbine Heat Transfer
• Aerodynamics
• Conjugate Heat Transfer
• +3 more

Dr Qiang Zhang is a Senior Lecturer at the School of Mathematics, Computer Science and Engineering at City, University of London. His career spans leading academic and research roles at the University of Michigan - Shanghai Jiao Tong University Joint Institute, University of Oxford, and the University of Utah. He holds a PhD in Mechanical Engineering (2005) and an MSc in Thermal Engineering (1996, 1993) from Dalian University of Technology. Key Affiliations : City, University of London (Reader, 2020–present; Lecturer, 2014–2020); University of Michigan - SJTU Joint Institute (Associate Professor, 2011–2014); University of Oxford (Research Staff, 2006–2011); University of Utah (Research Assistant Professor, 2005–2006). Research Interests focus on high-speed gas turbine heat transfer, aerodynamics, and cooling systems. He pioneered dynamic thermal management techniques like unsteady conjugate cooling and Turbo Heat Exchanger (patented 2022), which are transforming coolant efficiency in aerospace and electronics. His work bridges experimental methods (e.g., transient thermal measurements, wind tunnel development) with computational fluid dynamics (CFD) validation. Publications & Impact include over 95 documents with 2,365 citations and an h-index of 25. His 15 most recent articles (2009–2025) reveal a trend toward intermittent impingement cooling , ribbed/grooved surface optimization , and shock wave control . These span disciplines like mechanical engineering, fluid dynamics, and thermal systems design. Awards & Recognition : ASME Fellow (2019) Rolls-Royce Award to Inventors (2013) ASME Turbo Expo Best Paper Awards (2016, 2017) ASME Journal of Heat Transfer Outstanding Reviewer (2012) Oxford University Award of Merit Review (2007) Professional Contributions include editorial roles (ASME Journal of Thermal Science and Engineering Applications, Aerospace Special Issues) and committee membership in the ASME K-14 Heat Transfer division since 2011. He leads an EPSRC project on unsteady cooling mechanisms and is commercializing a patented Turbo Heat Exchanger through a spin-off company.

• Damage Mechanics
• Fracture Mechanics
• Additive Manufacturing
• +7 more

Zhiliang Zhang is a Professor of Mechanics and Materials at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU) . He is renowned for his contributions to fracture mechanics and material science, serving as Editor-in-Chief of Engineering Fracture Mechanics and recipient of the Griffith Medal from the European Structural Integrity Society (ESIS). His research focuses on damage mechanics, hydrogen embrittlement, and anti-icing materials, utilizing experimental and computational approaches. Education: BSc and MSc in Structural Engineering, Tongji University (1985, 1988) PhD in Mechanical Engineering, Lappeenranta University of Technology (1994) Research Interests span damage and fracture mechanics , additive manufacturing (AM) , hydrogen embrittlement , and anti-icing surface development . His work integrates multiscale computational modeling with nanomechanical experiments , addressing challenges in energy, structural integrity, and material design. Publication Trends highlight his expertise in hydrogen embrittlement , gas hydrate adhesion , anti-icing surfaces , and additive manufacturing . His articles in journals like Chemical Reviews and Advanced Materials emphasize predictive modeling , nanoscale characterization , and sustainable material solutions . Scientific Awards include Griffith Medal (2024, ECF24) ESIS Fellow (2014) Norwegian Academy of Technological Sciences membership Academic Service involves external doctoral examinations at institutions like Paris Tech and National University of Singapore, and faculty review roles at Imperial College and University of Michigan. He founded the NTNU Nanomechanical Lab in 2006 and has led 14 externally funded projects totaling over €12 million.

• Advanced Design and Manufacturing
• Advanced Materials Science and Engineering
• Biomechanical and Biomedicine Engineering
• +4 more

Donglei Emma Fan is a Professor in the Department of Mechanical Engineering at The University of Texas at Austin, with affiliations in the Materials Science and Engineering Program, Texas Materials Institute, and Electrical and Computer Engineering. Her research focuses on micro/nanoscale materials and devices for robotics, sensing, biomedicine, and water treatment. NSF CAREER Award (2012) NSF Mid-Career Advancement Award (2022) Fellow, Royal Society of Chemistry (2021) Fellow, American Institute for Medical and Biological Engineering (2024) Senior Member, National Academy of Inventors (2025) Her work includes the invention of Electric Tweezers for 20 nm precision nanomanipulation, discovery of light-semiconductor-electric-field interactions for nanodevices, and scalable fabrication of 3D hierarchical materials. Publications in Nature Nanotechnology , Science Advances , and Advanced Materials highlight her contributions to nanomotors, biomedical delivery, and clean energy solutions. She holds 9 granted and 8 pending patents, with 4 licensed to startups, and actively mentors through roles like the Ilene Busch-Vishniac Lectureship.

• Quaternary Environmental Change
• Paleoceanography
• Paleoclimatology
• +5 more

Professor Erin McClymont is a leading paleoclimatologist and organic geochemist at the Department of Geography, Durham University . Her research focuses on reconstructing past climate and environmental changes using marine, lacustrine, and peat sediment records, with particular emphasis on ocean-ice sheet interactions, low and high latitude climate connections, and biomarker proxy applications across timescales from decades to millions of years. Current projects include Antarctic sea ice reconstruction via snow petrel stomach-oil deposits (funded by ERC and Leverhulme Trust) Pliocene sea surface temperature evolution in multiple ocean basins Development of novel paleoenvironmental proxies in organic geochemistry Her work spans interdisciplinary collaborations with the School of Biosciences and British Antarctic Survey , and has resulted in significant contributions to understanding climate transitions during the Pliocene, Pleistocene, and Mid-Pleistocene. She serves as editor for Climate of the Past and on the Journal of Quaternary Science editorial board. Awards & Grants Philip Leverhulme Prize (2013, £70,000) EU-HORIZON Project Co-I (2025, €15M) ERC Consolidator Grant (2020, €1.99M) Leverhulme Trust Research Leadership Award (2020, £998K) She supervises multiple PhD researchers and has developed innovative calibration methods for biomarker proxies in peat, polar oceans, and marine sediments. Her recent publications address topics ranging from Antarctic sea ice dynamics to global climate feedbacks during the Pliocene warm period.

• Forest Road Planning
• Forest Harvesting and Transportation
• GIS & Remote Sensing Applications in Forestry
• +1 more

Prof. Dr. Burak Aricak is a faculty member at Bursa Technical University , where he serves in the Faculty of Forestry under the Department of Forest Engineering . His work integrates geospatial technologies and environmental science to address critical forestry challenges. Research Focus : Forest Road Planning, Harvesting Techniques, GIS & Remote Sensing Applications, and Ergonomics. Key Publications (2023-2025) explore climate change effects on forest species distribution, heavy metal accumulation in trees, soil respiration dynamics post-harvesting, and UAV/LiDAR advancements for biomass estimation. Contact : burak.aricak@btu.edu.tr | +90 (224)-8081101

Aljaž BožičView profile

Researcher

• Computer Vision
• Computer Graphics
• Artificial Intelligence
• +7 more

Aljaž Božič is a Research Scientist at Meta Reality Labs Research , focusing on neural rendering, 3D reconstruction, and AI-driven geometry modeling. He earned his Ph.D. in Computer Science from the Technical University of Munich (TUM) and holds a Master's in Computer Science from TUM and a Bachelor's in Mathematics from the University of Ljubljana . His research spans computer vision, graphics, and artificial intelligence , with a focus on neural rendering , generative AI , and 3D deformable object modeling , targeting applications in VR/AR and robotics. His work includes time-consistent dynamic scene reconstruction (SceNeRFlow), volumetric hair appearance modeling, and high-fidelity walkable VR spaces (VR-NeRF), alongside efficient NeRF distillation and calibration methods (Neural Lens Modeling). Key article trends include Transformer-based monocular reconstruction (TransformerFusion), neural parametric shape models (NPMs), and self-supervised non-rigid tracking (Neural Deformation Graphs). He has contributed to open-source projects like the TransformerFusion GitHub repository , emphasizing MIT-licensed tools for scene reconstruction. At TUM, he served as a Teaching Assistant for courses such as 3D Scanning and Spatial Learning and 3D Vision Seminar , bridging academic instruction with research innovation. His work integrates advanced neural networks with practical optimization techniques, advancing fields like RGB-D reconstruction (DeepDeform) and variational SLAM.

David KazmerView profile

Professor

• Plastics product and process design
• Additive manufacturing processes
• Polymer rheology
• +7 more

David Kazmer is a Professor in the Department of Plastics Engineering at the University of Massachusetts Lowell's Francis College of Engineering. With a Ph.D. from Stanford University (1995) and prior roles in industry (GE Research & Development, GE Plastics), he specializes in advanced manufacturing processes, particularly polymer processing, additive manufacturing, and intelligent process control. Education: BS (Cornell, 1990); MS (Rensselaer Polytechnic, 1991); PhD (Stanford, 1995). His research focuses on plastics product and process design , additive manufacturing , polymer rheology , and multivariate process control , with over 300 publications and 20 patents. Key contributions include innovations in injection molding sensors, fused deposition modeling, and sustainable polymer processing. Recent Google Scholar publications (2025-2024) highlight advancements in shell deposition additive manufacturing , co-extrusion for graded foams , thermal contact resistance modeling , and recycled polyolefin processing . These works span polymer blends, composite materials, and energy-efficient manufacturing systems. Scientific awards include: Fellow, Society of Plastics Engineers (2011) ASME Kos Ishii-Toshiba Award (2012) Office of Naval Research Career Award (1997) Multiple Best Paper Awards (ASME, SPE) As an Associate Research Professor in Mechanical & Industrial Engineering at UMass Amherst, he bridges interdisciplinary research. His industry experience with GE and Synventive Molding Solutions informs practical process development. Current projects involve self-powered sensors, machine learning for extrusion optimization, and community-focused engineering education initiatives.

Valentin DeschaintreView profile

Researcher

• Computer Graphics
• Computer Vision
• Machine Learning
• +5 more

Valentin Deschaintre is a Researcher at Adobe Research in London, focusing on image and 3D/appearance asset understanding, generation, and authoring with emphasis on user control. He previously held academic roles at Imperial College London and Inria Sophia-Antipolis , where he earned his PhD under Adrien Bousseau and George Drettakis, collaborating with Optis (Ansys). His work bridges computer graphics, computer vision, and machine learning. His research interests span generative models , diffusion-based image manipulation , material appearance modeling , and 3D scene reconstruction . Recent publications like IntrinsicEdit (2025) and MaterialPicker (2025) highlight his work in intrinsic space editing and multi-modal material generation, often integrating user control mechanisms. Scientific Awards : French Computer Graphics Thesis Award (2020), UCA Academic Excellence Thesis Award (2020), Eurographics Junior Fellow (2024), Eurographics Young Researcher Award (2025). Internship Mentoring : He actively mentors PhD students in Adobe's internship program, including Michael Fischer (2024), Julia Guerrero-Viu (2023-2024), and Ruben Wiersma (2023).

• Computer Graphics
• Geometry Processing
• Computational Topology
• +4 more

Michela Spagnuolo is a Research Director at the Italian National Research Council’s Institute of Applied Mathematics and Information Technology (CNR-IMATI-GE) since 2001. Her work bridges Computer Graphics , Geometry Processing , and Computational Topology , with applications in 3D Shape Analysis , Cultural Heritage , and Bioinformatics . Co-supervised 6 PhD theses (plus 2 ongoing) Associate Editor for journals like The Visual Computer and Computers&Graphics Chair of conferences including Shape Modeling International and EG Workshops on 3D Object Retrieval Research Interests : Focus on geometric and semantic modeling of 3D objects , computational topology for shape analysis , and structural/similarity evaluation . Her work enables advanced 3D search engines , semantic annotation , and medical imaging applications . Article Trends : Recent publications emphasize mesh quality indicators for Virtual Element Methods in engineering simulations and semantic-driven 3D model analysis for medical diagnostics and cultural heritage . Key subtopics include topological decomposition , data processing services , and multi-scale modeling . Scientific Awards : Fellow of the Eurographics Association (2014) Notable Contributions : Led projects like IQmulus (geospatial data analytics) and MultiScaleHuman (medical shape modeling). Pioneered CIDOC CRMdig for cultural heritage documentation and developed techniques for kernel computation in polyhedra .

Marcel CampenView profile

Professor

• Computer Graphics
• Geometry Processing
• Surface Parametrization
• +4 more

Marcel Campen is a Professor at Osnabrück University specializing in Computer Graphics and Geometry Processing. His research focuses on surface parametrization, quad mesh generation, and computational geometry. He has made significant contributions to the field of geometry processing, particularly in developing algorithms for quad layout generation, surface mapping, and mesh repair. His research interests span Computer Graphics, Geometry Processing, Surface Parametrization, Quad Mesh Generation, 3D Modeling, and Mesh Repair. Campen's work addresses fundamental challenges in representing and processing complex geometric shapes, with applications ranging from animation and simulation to reverse engineering and meshing. His research often combines theoretical insights with practical implementations, resulting in algorithms that are both mathematically sound and computationally efficient. Campen's publications demonstrate a strong focus on developing robust and efficient methods for geometry processing. His work on quad layout generation, parametrization techniques, and surface mapping has resulted in several award-winning papers, including Best Paper Awards at SGP 2021 and 2022. His research often bridges theoretical concepts with practical implementations, making his contributions highly influential in both academic and industrial settings. Best Paper Award (1st place) at SGP 2022 Best Paper Award at SGP 2021 Campen has made significant contributions to the field through his doctoral thesis on quad layout generation and numerous publications in top-tier conferences including SIGGRAPH, Eurographics, and SGP. His work on directional field synthesis, similarity maps, and bijective mappings has advanced the state of the art in geometry processing. He has also contributed to practical tools like libQEx for robust quad mesh extraction, demonstrating his commitment to making theoretical advances accessible to practitioners.

Patrice KoehlView profile

Professor

• Computational Biology
• Structural Bioinformatics
• Molecular Modeling
• +4 more

Patrice Koehl is a full-time Professor in the Department of Computer Science at the University of California, Davis. His research bridges computational biology, structural bioinformatics, and theoretical biophysics, focusing on geometric and physical modeling of biomolecular systems. He has made significant contributions to protein structure prediction, ion channel modeling, and development of computational methods for molecular simulations. Research interests include: Geometric modeling of biological macromolecules Optimal transport theory for shape analysis Statistical mechanics in biomolecular simulations Topological data analysis for cellular morphology Multi-scale modeling of viral structures Recent research trends show strong emphasis on: Protein conformational transitions using action minimization Persistence diagrams for morphological signatures Geometric approaches to assignment problems Computational methods for macromolecular surface analysis Interdisciplinary applications of physics to biological data

Maija Jylhä-OllilaView profile

Researcher

• Hydrogeology
• Surface Water-Groundwater Interaction
• Managed Aquifer Recharge
• +3 more

Maija Jylhä-Ollila is a doctoral researcher at Aalto University's Department of Built Environment, specializing in hydrogeology and water-environmental engineering. She previously graduated with an M.Sc. in Geology from the University of Helsinki (2004) and gained 10 years of professional experience as a hydrogeologist in environmental consulting. Core research areas: Managed Aquifer Recharge (MAR), Natural Organic Matter (NOM) removal, and surface water-groundwater interactions Focus on boreal lake systems and their long-term impacts on groundwater quality Technical expertise in redox reactions, carbon cycling, and molecular structure analysis of NOM Active in peer-reviewed publications (4 research outputs between 2019-2025) Her work combines field studies with advanced analytical techniques like mass spectroscopy to understand NOM transformation processes during bank infiltration. She collaborates with researchers across Finland and internationally on water security challenges. Scientific Contributions: 2025 Doctoral Thesis: Quantified long-term water quality changes and redox evolution in MAR systems 2021 Groundwater Journal: Established molecular structure links between NOM and carbon budget dynamics 2020 Hydrogeology Journal: Demonstrated seasonal NOM removal efficiency in boreal lake infiltration 2019 ISMAR Conference: Presented findings on NOM removal mechanisms under varying hydrological conditions Technical Expertise: Groundwater monitoring, multi-tracer analysis, redox geochemistry, boreal hydrology, MAR system design

• Machine Learning
• Deep Learning
• Signal and Image Processing
• +12 more

BOHI Amine is a researcher at CESI (School of Engineering and Digital Tools, Department of Computer Science), with a PhD in Computer Science from the University of Toulon (2017). His academic profile spans disciplines including Machine Learning, Signal and Image Processing, and Biomedical Engineering, with a focus on applications in Digital Health and Human-Robot Interaction. Education : PhD in Computer Science (University of Toulon, 2013-2017); Master 2 in Computer Science (University of Fes, Morocco, 2009-2011); Bachelor’s in Mathematical and Computer Sciences (University of Fes, 2006-2009). His research interests include: Machine Learning and Deep Learning Signal and Image Processing 3D Shape Analysis Computer Vision Digital Health Biomimetic Feature Design BOHI’s publications reflect expertise in facial emotion recognition for elderly care, cortical folding modeling, and soft tissue organ deformation analysis using MRI. He supervises diverse research internships, mentoring students from institutions like Sorbonne Paris Nord, Université de Technologie King Mongkut, and INP Grenoble. Current projects involve developing intelligent solutions for emotional interaction with elderly individuals suffering from neurodegenerative disorders, in collaboration with VyV3 Bourgogne. He also contributes to the design of multimodal datasets and wearable health monitoring systems. BOHI’s technical work includes contributions to maritime surveillance systems (PARE project) and semantic information platforms, demonstrating a capacity to bridge theoretical research with practical applications across domains.