جست‌وجوی استاد و پژوهشگر

• Additive Manufacturing
• Advanced Manufacturing
• Design for Manufacturing
• +۶ مورد دیگر

Dr. Mostafa Yakout serves as an Assistant Professor in the Department of Mechanical Engineering within the Faculty of Engineering at the University of Alberta. A Professional Engineer (P.Eng.) licensed in Alberta and Ontario, he also holds an Adjunct Research Professor position at Western University (2022-2025). Previously, he served as a Sessional Instructor at McMaster University and an Assistant Lecturer at Alexandria University. His educational background includes: Postdoctoral Fellowship, McMaster University, Canada, 2019-2022 Ph.D. Mechanical Engineering, McMaster University, Canada, 2015-2019 M.Sc. Production Engineering, Alexandria University, Egypt, 2011-2013 B.Sc. Production Engineering, Alexandria University, Egypt, 2005-2010 Dr. Yakout's research focuses on developing process-driven solutions for additive manufacturing of next-generation materials, including alloys containing rare-earth metals, high-performance metal alloys, and high-temperature materials. His group employs numerical, analytical, and experimental methods to establish critical process-structure-property-performance relationships. This work directly supports clean technology development and industrial transformation toward net-zero emissions in Canadian manufacturing. Analysis of his recent publications (2021-2025) reveals dominant themes in laser powder bed fusion (LPBF), particularly Inconel 617 applications for small modular reactors, rare earth element-doped coatings, and magnetic alloy optimization for electric motors. His research consistently integrates multiphysics modeling, in-situ process monitoring, and microstructure-property relationship studies targeting aerospace, nuclear energy, and biomedical engineering applications. No specific scientific awards or fellowships are documented in the provided materials. Dr. Yakout currently accepts undergraduate students for research supervision. His group collaborates extensively with industry, government agencies, and academic institutions across Canada and internationally. As CARDD-Tech Research Lead, he focuses on critical minerals and rare earth elements to advance sustainable manufacturing solutions aligned with national clean technology initiatives. He leads the ANGAM Group, which specializes in additive manufacturing process development for advanced materials. The team's work emphasizes hybrid additive manufacturing techniques and design optimization for industrial applications requiring high-performance material solutions.

Stefan Pieter Sobolowskiمشاهده پروفایل

استاد پژوهشی

• Regional Climate Modeling
• Climate Change Impacts
• Climate Services
• +۳ مورد دیگر

Stefan Pieter Sobolowski is a Research Professor at NORCE Norwegian Research Centre in Bergen, Norway, leading the research theme on Regional Climate Impacts and Modeling within the Regional Climate and Climate Services group. His work bridges fundamental climate science with practical applications, focusing on large-scale atmospheric circulation dynamics, regional climate impact assessments, and the translation of research into actionable climate services through interdisciplinary collaboration. He holds a PhD from Columbia University (2010) and completed postdoctoral research at the University of North Carolina, Chapel Hill. His research portfolio centers on three interconnected strands: advancing understanding of large-scale circulation responses to external forcing; improving regional-scale analysis of climate impact drivers; and developing co-produced climate services with social scientists, humanities scholars, and public/private sector partners to address real-world challenges. Recent publications (2023-2025) demonstrate leadership in high-resolution regional climate modeling, particularly through the EURO-CORDEX initiative and convection-permitting simulations. Key trends include extreme event analysis (heatwaves, winds, precipitation), model evaluation at kilometer scales, and dataset development for climate impact studies across Europe, the Arctic, and Africa. His work emphasizes model uncertainty quantification and the societal relevance of climate projections. Professor Sobolowski coordinates the WCRP Euro-CORDEX initiative and leads major projects including EMULATE (model error analysis), CORDEX-FPSCONV (convection-permitting models), Climate Futures SFI, CONFER, and the Centre for Early Sapiens Behaviour (SapienCE). These initiatives involve extensive cross-sectoral collaborations with industry, public agencies, and international research networks to advance climate science and its application. He actively contributes to the Regional Climate and Climate Services group at NORCE, driving innovation in regional climate modeling frameworks and their implementation for stakeholder-relevant climate information. His work integrates paleoclimate perspectives with contemporary modeling to address long-term climate challenges.

Fabian Barrasمشاهده پروفایل

پژوهشگر ارشد

• Earthquake Dynamics
• Fault Mechanics
• Computational Geophysics
• +۴ مورد دیگر

Fabian Barras is a Research Fellow at the NJORD Centre for Studies of the Physics of the Earth within the Department of Geosciences, Faculty of Mathematics and Natural Sciences, University of Oslo. His research focuses on the fundamental physics of earthquake dynamics and fault mechanics through computational modeling and theoretical analysis. His primary research interests span Earthquake Dynamics , Fault Mechanics , and Computational Geophysics , with specific expertise in frictional rupture propagation, slip pulses, and the transition from laboratory to natural earthquake scales. Barras develops and utilizes advanced numerical tools including the Akantu finite-element library and cRacklet boundary integral method for simulating dynamic fracture processes. Analysis of his 15 most recent publications reveals a strong emphasis on minimal modeling approaches to understand fundamental rupture phenomena, with particular focus on shear localization, stress drops, and the crack-like behavior of frictional ruptures. His work bridges theoretical physics with geophysical applications, frequently appearing in high-impact journals including Nature Communications, Physical Review journals, and Journal of Geophysical Research. Barras actively collaborates with leading researchers across international institutions including École Normale Supérieure (Paris), Hebrew University of Jerusalem, and ETH Zurich. His work is associated with major research initiatives including the ERC BREAK project, MODIFLOW, and UNLOC. His technical contributions include significant software development for high-performance computational geophysics, particularly through the open-source Akantu and cRacklet libraries that enable advanced simulation of contact mechanics and dynamic fracture phenomena at multiple scales.

• Scientific Computing
• Applied Mathematics
• Parallel Computing
• +۳ مورد دیگر

Prof. Dr. Carsten Burstedde is a faculty member at the Institut für Numerische Simulation within the University of Bonn , specifically affiliated with the Faculty of Mathematics and Natural Sciences . His work focuses on developing scalable algorithms for adaptive mesh refinement (AMR) that operate efficiently on the world’s largest supercomputers. He leads the development of the p4est software library , a foundational tool for parallel AMR applications, and contributes to projects like ForestClaw for simulating volcanic ash transport in atmospheric flows. His research spans scientific computing , applied mathematics , and high-performance computing . Key application areas include geophysics (mantle convection, seismic wave propagation), fluid dynamics (incompressible flows, volcanic ash transport), and uncertainty quantification for inverse problems. He emphasizes non-conforming mesh techniques and parallel numerical solutions of PDEs , with a particular interest in hybrid mesh algorithms for complex domains. The 15 most recent publications highlight his expertise in adaptive mesh refinement across diverse contexts: 2021 works on heterogeneous systems and ghost layer optimization , 2020 contributions to p4est software and CPU ray tracing of AMR data, 2019 studies on Morton-type space-filling curves , and 2018–2016 projects enhancing ParFlow and ESPResSo with adaptive methods. Earlier papers (2015–2012) address Bayesian inverse problems , level-set methods , and multi-scale geodynamics . Scientific Awards include the Springer CSE Prize (2011) and the NSF TeraGrid Capability Computing Challenge (2008) . He has advised PhD student Johannes Holke , with whom he developed tetrahedral space-filling curves and hybrid AMR algorithms . His teaching includes courses on scientific computing , adaptive mesh refinement , and mathematics in music . The p4est summer school (2020) and collaboration with Donna Calhoun (ForestClaw project) underscore his leadership in computational science outreach and education.

Renan Silvaمشاهده پروفایل

پژوهشگر ارشد

• Coastal Engineering
• Coastal Protection
• Hydrodynamics
• +۳ مورد دیگر

Renan Silva is a Research Fellow at the UWA Oceans Institute and a Lecturer in the School of Earth and Oceans at The University of Western Australia. He holds a PhD in Coastal Engineering from UWA (2022), MSc degrees in Coastal and Marine Engineering from TU Delft (2017), NTNU (2017), and the University of Southampton (2017), and a BSc in Environmental Engineering from UFRJ (2010). His research focuses on coastal processes, particularly the interaction between waves and artificial reefs to optimize coastal protection design guidelines. Education: PhD: Coastal Engineering, UWA (2018–2022) MSc: Coastal Engineering (CoMEM Track), TU Delft (2015–2017) MSc: Coastal Engineering (CoMEM Track), NTNU (2015–2017) MSc: Coastal Engineering (CoMEM Track), University of Southampton (2015–2017) BSc: Environmental Engineering, UFRJ (2005–2010) Research interests include coastal hydrodynamics, wave-energy dissipation mechanisms, and the application of computational models (e.g., SPH, CFD) to study nearshore processes. Recent work emphasizes submerged coastal structures' influence on wave dynamics and reef protection strategies. Key projects include a CSIRO sub-contract for software development (2021) and collaborative studies on seagrass meadow energy dissipation (2025). His work contributes to UN Sustainable Development Goals related to climate action and ocean sustainability. Grants/Projects: Software development sub-contract to CSIRO for NGLP (2021) Labs/Teams: Active in the UWA Oceans Institute and collaborates with global institutions on coastal modeling and infrastructure resilience.

Paweł T. Jochymمشاهده پروفایل

استاد

• Solid State Physics
• Materials Science
• Nanomaterials
• +۳ مورد دیگر

Paweł T. Jochym is a Professor at the Institute of Nuclear Physics, Polish Academy of Sciences. His primary research focuses on solid-state physics, particularly the dynamical, mechanical, and electronic properties of crystalline materials, including minerals and nanomaterials. He has contributed extensively to computational studies of lattice dynamics, phase transitions, and nanomaterial behavior using density functional theory (DFT). Alongside his academic work, he is a founder of the Polish Wikipedia and actively contributes to free software projects in computational physics, such as HECSS and Elastic. His research explores advanced topics like phonon confinement in nanostructures, anharmonicity in materials, and structural phase transitions. He collaborates with international teams on projects involving nuclear inelastic scattering and computational modeling. Beyond physics, Jochym is an astronomy enthusiast, having observed variable stars and published early work on eclipsing binaries. He remains engaged in outreach through the Polish Wikimedia Foundation, emphasizing educational and open-source initiatives. Key contributions include software tools for configuration space sampling and elastic property analysis, widely used in computational materials science. His work bridges theoretical physics with practical applications, reflecting a commitment to both academic rigor and open scientific collaboration.

Mark Fonstadمشاهده پروفایل

دانشیار

• Geomorphology
• Hydrology
• Remote Sensing
• +۴ مورد دیگر

Mark Alan Fonstad is an Associate Professor of Geography at the University of Oregon, Department of Geography, within the College of Arts and Sciences. His research focuses on riverscape dynamics, geomorphology, hydrology, and remote sensing, particularly in mountain environments and river ecosystems. Fonstad holds a Ph.D. in Geography from Arizona State University (2000), with earlier degrees from Ohio University (M.A., 2000) and the University of Wisconsin (B.S., 1996). His career includes postdoctoral research at Montana State University (2000-2001) and faculty roles at Texas State University (2001-2011) before joining the University of Oregon in 2011. Research interests encompass river remote sensing using techniques like Structure from Motion (SfM), cellular automata modeling, and satellite data (e.g., NASA SWOT). He collaborates with groups such as the University of Oregon River Research Group and the Environmental Change Research Group. Notable contributions include the HAB Transform for river bathymetry mapping and the critical riverbank conjecture, recognized by the AAG’s 2005 G.K. Gilbert Award. Teaching spans undergraduate and graduate courses in physical geography, hydrology, geomorphology, and remote sensing. Fonstad emphasizes experiential learning and innovation in geographic education, leveraging tools like Google Earth and open-source technologies. His work bridges physical geography with issues of sustainability, hazards, and environmental management. Recent research trends include high-resolution river habitat mapping, dynamics of large river systems (e.g., Willamette River), and mountain stream analysis. He actively explores applications of unmanned aerial systems (UAVs) and autonomous surface vehicles for riverscape monitoring. Fonstad’s publications span remote sensing techniques, fluvial dynamics, and theoretical geomorphology, with a focus on advancing practical and theoretical understanding of river systems. Awards include the 2005 G.K. Gilbert Award (AAG) for contributions to riverbank instability theory. He serves as associate editor of the Annals of the AAG’s Environmental Sciences section and has organized interdisciplinary research initiatives. Advising focuses on integrating physical geography, GIScience, and sustainability challenges. Labs/teams include the University of Oregon River Research Group, S3C Lab, and Earth Surface Processes Laboratory. Fonstad’s work addresses both natural and human impacts on riverscapes, emphasizing methodological innovation and interdisciplinary collaboration.

Yangkang Chenمشاهده پروفایل

عضو هیئت علمی

• Seismic Signal Analysis
• Seismic Modeling and Inversion
• Deep Learning
• +۴ مورد دیگر

Yangkang Chen is a Research Assistant Professor at the Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin. He leads AI/ML research at the Texas Seismological Network (TexNet). His expertise includes seismic signal analysis, deep learning, and high-performance computing. Chen holds a Ph.D. in geophysics from UT Austin (2015) and was a postdoc at Oak Ridge National Laboratory (2016-2018). Research Focus: AI-driven earthquake monitoring, seismic modeling, and reproducible research. Key Contributions: Developed EQCCT, TXED datasets, and open-source tools like pyseistr and DRR. Leadership: Editor of JGR: Machine Learning and Computation, and AGU fellowships. Education: Ph.D. in Geophysics, UT Austin, 2015 Postdoctoral Research at Oak Ridge National Lab (2016-2018) Research Interests span AI applications in seismology, seismic inversion, and reproducible methodologies. His work bridges computational methods with real-world seismic challenges, such as induced seismicity detection and earthquake cataloging. Awards include First Prize in GeoHackathon 2024, Clarivate Highly Cited Researcher (2020), and multiple IEEE recognitions. He advises over 20 graduate students/postdocs, focusing on ML-driven geoscience problems. Chen's lab develops tools for seismic data analysis, DAS processing, and machine learning frameworks.

Masoud Nasiri Zarandiمشاهده پروفایل

دانشیار

• Separation processes
• Adsorption technology
• Membrane engineering
• +۵ مورد دیگر

Dr. Masoud Nasiri Zarandi is an Associate Professor in the Department of Separation at Semnan University's Faculty of Chemical, Petroleum and Gas Engineering. His academic journey includes a B.A. in Chemical Engineering (University of Tehran, 1993-1999), an M.A. in Chemical Engineering (Separation, University of Tehran, 1995-1997), and a Ph.D. in Petroleum Engineering (Iran University of Science and Technology, 1999-2008). He has held administrative roles including President of Semnan University (2016-2022) and Student Vice President (2012-2017). Research Focus: His work centers on separation processes, adsorption technology, membrane engineering, enhanced oil recovery, and drilling fluids formulation. Notable contributions include studies on thin-film nanocomposite membranes, micellar-enhanced ultrafiltration, and CO₂ absorption using amine solutions. Publications & Impact: With 70+ publications (h-index 20, 1,587 citations), his research spans environmental remediation, material science, and petroleum engineering. Key articles address lead removal via hypercrosslinked polymers and gold/palladium separation using Gemini surfactants. Education & Mentorship: Supervised over 40 students, including 14 Ph.D. and 26 M.Sc. theses. His mentorship focuses on separation technologies, membrane design, and enhanced oil recovery. International Collaborations: Conducted research stints at Louisiana State University (2006) and the University of Miskolc (2023), enhancing cross-border expertise in drilling fluid formulation and membrane technology.

Benjamin Campfortsمشاهده پروفایل

استادیار

• Geomorphology
• Landslides
• Landscape Evolution
• +۳ مورد دیگر

Benjamin Campforts is an Assistant Professor in the Earth Sciences department at the Faculty of Science , Vrije Universiteit Amsterdam. His research focuses on numerical modeling of Earth surface processes, landscape evolution, and sediment pathways. He holds a PhD in Physical Geography from KU Leuven (2016), where his thesis addressed improving numerical simulations of landscape evolution across timescales. Education : PhD in Sciences (Physical Geography), KU Leuven, 2012–2016 His work addresses challenges such as sediment transport dynamics, landslides under climate change, and human-land-atmosphere interactions. Key research areas include: Anthropocene landscape evolution and environmental sustainability Geomorphic impacts of mass movements (e.g., landslides, gully erosion) Numerical modeling of sediment transport and landscape evolution Recent publications emphasize tropical environments, Arctic dynamics, and socio-economic drivers of environmental change. His models contribute to hazard risk prediction, particularly for landslides and sediment mobilization. Campforts collaborates internationally, with projects spanning Africa, the US, and volcanic regions. Teaching includes courses like Geomorphology and Source-to-Sink Systems , reflecting his expertise in Earth surface processes.

Andrew Skidmoreمشاهده پروفایل

استاد

• Remote Sensing
• Geographic Information Systems (GIS)
• Biodiversity Monitoring
• +۴ مورد دیگر

Professor Andrew Skidmore is a Full Professor in the Department of Natural Resources at the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente. He holds a PhD in Remote Sensing and GIS from the Australian National University and has led research initiatives in vegetation mapping, wildlife habitat assessment, and remote sensing applications for over three decades. His work integrates artificial intelligence, environmental DNA (eDNA), and hyperspectral imaging to advance biodiversity monitoring and ecosystem analysis. Education: PhD in Remote Sensing and GIS, Australian National University; BSc in Forestry, Australian National University Professor Skidmore’s research spans vegetation mapping, hyperspectral remote sensing, AI-driven geoinformatics, and biodiversity assessment. Current projects include the European Research Council (ERC) Advanced Grant (2019-2024) to upscale biodiversity using satellite data and eDNA. His work addresses forest soil acidification, canopy microbiomes, and wildlife behavior responses to human disturbance. Recent publications focus on soil biodiversity prediction via eDNA, LiDAR for tree detection, and hyperspectral analysis of forest traits. He contributes to global biodiversity frameworks through remote sensing-enabled Essential Biodiversity Variables (EBVs) and collaborates with institutions in Kenya, Germany, and Indonesia. Scientific Awards: Schlich Medal (1983), M.R. Jacobs Award (1986), Hedges Bequest (1987), Autometric Award (1990), ESRI Award (1997), Best Conference Paper Presentation (2003), John J Davidson's Award (2005), Talbert Abrams Award (2015), and multiple AGILE and Davidson President’s Awards. He serves on editorial boards for leading journals in remote sensing and GIS and has contributed to over 682 research outputs. His capacity development work spans Australia, Asia, and Africa, with media features on topics like forest monitoring and plastic debris detection.

Eva Hemmerمشاهده پروفایل

دانشیار

• Luminescent nanomaterials
• Near-infrared bioimaging
• Energy conversion technologies
• +۵ مورد دیگر

Eva Hemmer is an Associate Professor in the Department of Chemistry and Biomolecular Sciences at the University of Ottawa, affiliated with the Nexus for Quantum Technologies (NEXQT) Institute. Her research focuses on developing lanthanide-based nanophosphors for near-infrared bioimaging and energy conversion. The Hemmer Lab specializes in synthesizing multifunctional nanoparticles with optimized optical properties, studying their interactions in biological systems, and designing novel optical materials. Education & Background: Dr. Hemmer holds a PhD in Materials Chemistry, with postdoctoral training in nanophotonics and quantum materials. Her career has been marked by interdisciplinary collaborations bridging chemistry, physics, and biomedical engineering. Research Interests: Lanthanide-doped nanomaterials for bioimaging and sensing Upconversion and downshifting photonics Nano-bio interface studies Theranostic platforms combining imaging and therapy Quantum materials for energy conversion Lab & Collaborations: The Hemmer Lab is part of the RISE Canada program, supporting undergraduate research exchanges. Collaborators include the National Research Council (NRC), the Mennigen Lab, and international groups from Brazil (University of São Paulo) and Germany (Uni Erlangen-Nürnberg). Advising & Training: Current advisees include graduate students Raquel and Wunnam, along with postdoctoral researchers Dr. Nayara Serge and Dr. York Serge. The lab hosts visiting scholars like Gabriel Moronari and Swantje Funk, emphasizing global knowledge exchange. Recent Projects: Recent work includes developing Gum Arabic-stabilized nanoparticles for reduced toxicity (2024), single-ion magnetic nanoparticles (2024), and core-multi-shell probes for multimodal imaging (2023).

Mathieu Graveyمشاهده پروفایل

پژوهشگر

• Geostatistics
• Remote Sensing
• High-Performance Computing
• +۳ مورد دیگر

Mathieu Gravey holds a Researcher position at the Austrian Academy of Sciences in the Institute for Interdisciplinary Mountain Research (ÖAW-IGF) , where he has served as a junior group leader since March 2023. He earned his PhD in Geostatistics in 2020 from the Faculty of Geosciences and Environment (FGSE) at the University of Lausanne (UNIL) , transitioning from a background in computer engineering. Gravey's research integrates cutting-edge technologies like Google Earth Engine (where he is an expert developer) and high-performance computing to tackle diverse geoscience challenges. His projects span bird migration , global landscape monitoring , alpine greening , and bushfire analysis . He aims to develop innovative Digital Terrain Models (DTMs) that improve accuracy and flexibility compared to traditional methods, potentially revolutionizing energy and cost efficiency in terrain modeling. Gravey emphasizes quality over quantity in research, advocating for independent, creativity-driven PhD work. He previously served as an Assistant Professor in Geo-Environmental Data Science at the University of Utrecht , Netherlands, but left due to limited research resources. His interdisciplinary approach, blending computer science with geosciences, stems from his formative years at UNIL's IDYST Institute, where he served on the council and benefited from a dynamic academic network.

• Stratospheric Meteorology
• Climate Dynamics
• Atmospheric Modeling
• +۳ مورد دیگر

Neal Butchart is an Expert Scientist in Stratospheric Processes Research at MetOffice@Reading, a collaborative center embedding Met Office staff within the University of Reading. Affiliated with the Department of Meteorology under the School of Mathematical, Physical and Computational Sciences, his work focuses on stratospheric dynamics, its influence on surface climate, and improving model representations of the stratosphere. Research trends include: Stratospheric circulation and ozone projections Evaluation of climate and weather models Collaborative projects like DYMECS and ParaChute

• Atom Probe Tomography
• Cryogenic sample preparation
• Interfacial Reaction at the Liquid-Solid Interface
• +۴ مورد دیگر

Dr. Tim Schwarz is a Group Leader and Walter-Benjamin Fellow at the Max Planck Institute for Sustainable Materials, leading the research group on 'Interfacial processes/reactions at the atomic scale'. He holds a Ph.D. in Materials Science from RWTH Aachen University (2024) and prior degrees from the University of Stuttgart. His work focuses on advanced materials characterization using atom probe tomography (APT), cryogenic sample preparation, and interfacial reaction analysis. Research interests include atom probe tomography applications for biological and metallic materials, corrosion mechanisms, high-entropy alloys, and sustainable material recycling. He has pioneered cryo-APT techniques for analyzing liquids and biomolecules at near-atomic resolution. His research addresses challenges in hydrogen diffusion, interfacial reactions, and functional material design. Notable contributions include cryogenic processing of alloys, in-situ corrosion analysis, and optimizing APT methodologies for complex systems. His work bridges fundamental materials science with industrial applications in energy and biomedical fields.