جست‌وجوی استاد و پژوهشگر

S. Jon Chapmanمشاهده پروفایل

استاد

• Industrial mathematics
• Mathematical modelling
• Matched asymptotic expansions
• +۱۶ مورد دیگر

Professor S. Jon Chapman is a faculty member at the Mathematical Institute, University of Oxford, holding the position of Professor of Mathematics and its Applications. He is affiliated with the Oxford Centre for Industrial and Applied Mathematics research group. His educational background includes a DPhil, MA, and BA. Research interests span diverse areas of applied mathematics and scientific modeling: Industrial mathematics and mathematical modeling Partial differential equations and asymptotic methods Fluid dynamics and turbulence theory Biophysical applications including tumor growth and tissue modeling Electromagnetic scattering and superconductivity Materials science and energy systems Publication analysis reveals two primary trends: Recent work (2025) focuses on electrochemical systems (battery modeling, gas-induced bulging) and biological applications (organoid models). Earlier influential publications established expertise in pattern formation, fluid dynamics (ship waves, spiral waves), and transport phenomena in biological systems. Mathematical techniques consistently feature multiscale analysis, asymptotic methods, and nonlinear modeling. Awards and honors recognizing scholarly contributions: Naylor Prize (2015) Julian Cole Prize (2002) Whitehead Prize (1998) Richard C. DiPrima Prize (1994) Johnson Mathematical Prize (1992) No information is available regarding student advising, grants, or laboratory affiliations.

• Computational Solid Mechanics
• Experimental Solid Mechanics
• Structural Optimization
• +۴ مورد دیگر

Miguel Costas Piñó serves as Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), where he has been faculty since 2017 and was promoted to Associate Professor in 2021. His research bridges computational mechanics with practical engineering applications in structural safety and material behavior. Education PhD in Civil Engineering, University of A Coruña (2016), thesis: "Crashworthiness analysis and design optimization of hybrid impact energy absorbers" (awarded Cum Laude, International Distinctions, and Extraordinary Doctorate Award) Master of Science in Civil Engineering, University of A Coruña (2011), specialization in Structural Engineering Research Focus Dr. Costas's work centers on computational and experimental solid mechanics , with particular expertise in metal plasticity , aluminium structures , and crashworthiness under extreme loading conditions. His laboratory investigates ballistic penetration phenomena and structural optimization for energy-absorbing systems, utilizing advanced finite element methods and physical testing protocols. Current projects integrate machine learning with traditional mechanics to model complex failure modes in multi-material systems. Publication Trends His 2020-2025 publications reveal three dominant trajectories: (1) ballistic resistance of additively manufactured metals for defense applications, (2) crash safety of electric vehicle battery systems, and (3) advanced modeling of mechanical joints. These works consistently combine experimental validation with computational innovation, particularly in neural network applications for large-scale structural simulations. Awards Cum Laude Doctorate International Distinctions (PhD) Extraordinary Doctorate Award Professional Activities Dr. Costas actively collaborates with industry partners on structural safety projects and serves as principal investigator for multiple NTNU research initiatives. His teaching includes graduate courses in materials mechanics, and he maintains dual professional engagement as a classical pianist with Norway's collaborative music community. Current work focuses on AI-driven crash simulation frameworks and next-generation armor materials.

• Paleoclimatology
• Oceanography
• Marine Sediment Analysis
• +۳ مورد دیگر

Dr Paola Moffa Sanchez is an Assistant Professor in the Department of Geography at Durham University , specializing in paleoclimatology and oceanography. She investigates decadal-to-millennial-scale ocean variability and its climate connections through the last millennia, interglacial periods, and deglaciation events. Research Focus : Ocean-climate interactions, proxy reconstructions, high-resolution marine sediment cores Key Regions : North Atlantic, Western Tropical Pacific, Labrador Sea Methodologies : Faunal and geochemical analysis in foraminifera, grain size measurements, chemical sediment composition Her publications reveal expertise in ocean circulation dynamics , climate modeling , and proxy data synthesis , with notable work on the Indo-Pacific Warm Pool and Little Ice Age mechanisms. She supervises PhD student Alena Sakovich and collaborates on global paleotemperature databases. Email : paola.l.moffa-sanchez@durham.ac.uk Contact : +44 (0) 191 33 43504

Atsushi Hamadaمشاهده پروفایل

دانشیار

• Precipitation and clouds
• Satellite meteorology
• Tropical meteorology
• +۳ مورد دیگر

Atsushi Hamada is an Associate Professor at the Faculty of Sustainable Design, University of Toyama, where he is affiliated with the Department of Earth System Science. He concurrently serves as a Visiting Associate Professor at the Center for Environmental Remote Sensing (CEReS) at Chiba University. His academic career spans multiple institutions and research collaborations focused on atmospheric science and remote sensing. Dr. Hamada's research focuses on several interconnected areas within atmospheric science: Precipitation systems and cloud physics analysis Satellite meteorology and remote sensing techniques Tropical meteorology and extreme rainfall events Global precipitation measurement using spaceborne instruments Climate change impacts on precipitation patterns His publication record demonstrates extensive work with satellite missions including the Global Precipitation Measurement (GPM) and Tropical Rainfall Measuring Mission (TRMM). Recent research emphasizes spectral latent heating retrieval algorithms, drop size distribution analysis, and precipitation mechanisms across diverse geographical regions. His work consistently involves international collaborations with researchers from multiple institutions across Japan and globally. Dr. Hamada has developed significant tools for the meteorological community, including the Equidistant color scale generator (with Inatsu, 2016) and the CTOP (Cloud-Top Height Product) estimated by geostationary satellites. His research bridges theoretical meteorology with practical applications for weather prediction, climate monitoring, and environmental studies. His work on precipitation systems has particular relevance for understanding regional weather patterns around Japan and in tropical regions.

Jie Songمشاهده پروفایل

پژوهشگر

• Deep Learning
• Computer Vision
• Human Pose Estimation
• +۴ مورد دیگر

Jie Song is a postdoctoral researcher at ETH Zurich affiliated with the Advanced Interactive Technologies lab. Their work bridges structured information and deep learning pipelines, with applications in hand/body-pose estimation, 3D human reconstruction, and view synthesis. Research Interests: Deep Learning, Computer Vision, 3D Reconstruction, Human Pose Estimation, Motion Capture, 6D Pose Estimation Affiliation: ETH Zurich, Advanced Interactive Technologies lab Jie's recent publications (2023-2025) focus on monocular video-based 3D human modeling, Gaussian rendering, and motion synthesis. Collaborations span institutions like ETH Zurich and MPI Tuebingen, with applications in robotics, augmented reality, and sports analytics. Scientific Awards: 3DV Best Paper Award (2017), Qualcomm Innovation Fellowship Finalist (2015), Swisscom Innovation Award (2014), Birkigt Scholarship (2013), National Scholarship (2009/2010) Jie has supervised multiple student projects, including personalized neural avatars and skeleton-based motion modeling. They serve as a Teaching Assistant for courses like Visual Computing and Machine Perception at ETH Zurich.

Yuanchang Xieمشاهده پروفایل

استاد

• Transportation Engineering
• Traffic safety
• Traffic operations and simulation
• +۵ مورد دیگر

Yuanchang Xie serves as Professor in Civil and Environmental Engineering at UMass Lowell's Francis College of Engineering, where he leads research in the Center for Smart Cyber-Physical Systems. His work integrates computational methods with transportation infrastructure analysis, focusing on safety-critical applications through federal partnerships. Dr. Xie earned his Ph.D. in Civil Engineering from Texas A&M University (2007), preceded by M.S. and B.S. degrees in Transportation Engineering from Southeast University, China (2003, 2000). His academic foundation supports interdisciplinary research bridging civil engineering and cyber-physical systems. Research centers on traffic safety, intelligent transportation systems, and logistics optimization. He pioneers AI-driven approaches for crash prediction, connected vehicle operations, and infrastructure monitoring, emphasizing real-world implementation through partnerships with USDOT and state agencies. Current work explores multimodal data fusion for safety analytics in mixed-autonomy environments. Recent publications (2024-2025) reveal accelerating focus on deep learning applications: crosswalk detection via drone imagery, trajectory prediction in mixed traffic, and real-time work zone safety monitoring. This evolution demonstrates strategic alignment with emerging transportation technologies while maintaining core safety objectives. No scientific awards were explicitly documented in source materials. Dr. Xie has secured continuous funding as Principal Investigator through NSF, USDOT, DOE, and USDA programs. Key projects include Connected Vehicles: Toward the Understanding of "Firm Science" (NSF), Center of Multi-Scale Sensing Technologies (USDOT), and nuclear evacuation modeling for rural communities (USDA). His grants consistently address infrastructure resilience through cyber-physical integration. He directs research activities within UMass Lowell's Center for Smart Cyber-Physical Systems, which develops sensor networks and computational models for transportation infrastructure monitoring. The center's work on drone-based inspection systems and emergency response logistics demonstrates practical applications of his theoretical frameworks.

Jose Paolo Talusanمشاهده پروفایل

پژوهشگر

• Smart Transportation Systems
• Cyber-Physical Systems
• Middleware
• +۴ مورد دیگر

Dr. Jose Paolo Talusan is a Research Scientist at the Department of Computer Science and Computer Engineering , Vanderbilt University, specializing in smart transportation systems , distributed computing , and cyber-physical systems . He is affiliated with ScopeLab , a research group focused on smart cyber-physical systems. Education: PhD from Nara Institute of Science and Technology, Japan (2020) Research Interests: His work addresses challenges in urban mobility through middleware architectures, optimization algorithms, and machine learning. Key areas include incident detection in transportation systems, privacy-preserving route planning, and vehicle-to-building charging optimization. Publication Trends: Recent publications focus on real-time transit optimization (2024-2025), leveraging reinforcement learning for heterogeneous agents in vehicle-to-building systems, and privacy-aware route planning in smart cities. His work integrates IoT , edge computing , and graph neural networks to tackle imbalanced data and sparsity issues in transit analytics. Labs & Teams: Actively contributes to ScopeLab at Vanderbilt University, collaborating on interdisciplinary projects with researchers in computer science, electrical engineering, and urban planning.

Kevin Hughesمشاهده پروفایل

مدرس ارشد

• Fuel Combustion
• Fuel Cells
• Process Modelling in Carbon Capture and Storage (CCS)
• +۳ مورد دیگر

Kevin Hughes is a Senior Lecturer in the Energy Engineering Group at the Department of Mechanical Engineering, School of Mechanical, Aerospace and Civil Engineering, University of Sheffield. He holds a PhD and first degree in Chemistry from the University of Leicester (1987) and focuses on fuel combustion, fuel cells, and process modelling in carbon capture and storage (CCS) systems. His research combines experimental and theoretical approaches, including planar laser diagnostics, quantum chemistry, and CFD simulations. Education: PhD and BSc in Chemistry from University of Leicester. Research Interests: Fuel combustion, pollutant chemistry, PEM fuel cells, CCS process modelling, catalyst development, and combustion in supercritical CO2. Grant Projects: FP7-ENERGY-2010-2 (RELCOM), Gas-FACTS (EPSRC), EP/J020788/1, EP/M001482/1 (Selective EGR), TEABPP (Energy Technology Institute). Scientific Contributions Publications: Over 50 papers on fuel combustion mechanisms, fuel cell optimization, CCS systems, and alternative fuels. Collaborations: Regular work with M. Pourkashanian, D.B. Ingham, S. Michailos, and M.S. Ismail. Technical Expertise Chemical Kinetics Validation Quantum Chemistry Applications Gas Diffusion Layer Analysis Surrogate Fuel Development Supercritical Combustion

• Heat Network Optimization
• Additive Manufacturing
• Heat Exchanger Design
• +۵ مورد دیگر

Maarten Blommaert is an Assistant Professor at the Department of Mechanical Engineering, Faculty of Engineering Technology at KU Leuven. He leads the Applied Mechanics and Energy conversion (TME) unit at the Geel Campus and heads the Subdivisie EnergyVille TME. His research focuses on numerical optimization of thermal systems, particularly district heating networks, additive manufactured heat exchangers, and plasma-facing components for nuclear fusion reactors. Assistant Professor, KU Leuven Head, Subdivisie EnergyVille TME Member, KIES Institute Member, Leuven.AM Institute Member, EnergyVille Blommaert's research explores three main areas: heat network optimization through automated design tools like PATHOPT, additive manufacturing of high-performance heat exchangers, and thermally resistant wall modules for nuclear fusion reactors. His work combines computational modeling with advanced manufacturing techniques to enhance energy efficiency and reduce carbon emissions. Scientific awards include collaborative research contributions in: Optimizing district heating networks for renewable energy integration Developing next-generation heat exchangers Advancing nuclear fusion reactor technology Blommaert actively supervises research projects in thermal-fluid systems and collaborates with institutions like VITO and EnergyVille. His research team IDEAL (Innovative Design for Energy Applications Lab) specializes in free-shape and topology optimization techniques for energy components and systems.

Ruozhou Yuمشاهده پروفایل

استادیار

• Computer Networks
• Distributed Systems
• Cybersecurity
• +۱۰ مورد دیگر

Ruozhou Yu is an Assistant Professor in the Department of Computer Science and a Courtesy Assistant Professor in the Department of Electrical and Computer Engineering at NC State University. His research focuses on computer networks, distributed systems, and cybersecurity , with applications to quantum networking, blockchain, IoT, cloud/edge computing, and machine learning . He earned his PhD in Computer Science from Arizona State University (2019) and his BS from Beijing University of Posts and Telecommunications (2013). Education: PhD, Computer Science, Arizona State University, 2019 BS, Computer Science, Beijing University of Posts and Telecommunications, 2013 Yu's research spans quantum internet (high-fidelity entanglement distribution, satellite-assisted quantum networks), blockchain technologies (payment channel networks, smart contracts, layer-2 security), and edge computing (resource provisioning, SLA verification, market design). He also explores machine learning in distributed systems (LLM fine-tuning on graphs) and network security (data delay attacks, Byzantine-robust federated learning). His recent publications (2024–2025) emphasize quantum networking (LACE, QuESat), edge computing SLAs (VeriEdge, WolfPack), and blockchain security (Thor, Fence). Articles like AdaOrb (PerCom 2025) and Physics-Informed Scheduling (RTAS 2025) highlight cross-domain innovations. Awards & Recognition: NSF CAREER Award (2021) IEEE TNSE Excellent Editor Award (2024) IEEE INFOCOM Distinguished TPC Member (2024, 2022, 2020) Yu supervises PhD and Master's students in quantum networking (Huayue Gu), blockchain (Xiaojian Wang), and edge computing (Zhouyu Li). He serves as Associate Editor for IEEE Transactions on Network Science and Engineering and Area Editor for Elsevier Computer Networks .

Athol J Kemballمشاهده پروفایل

استاد

• Computation and Data
• Observation
• Stars and Planets
• +۴ مورد دیگر

Athol J Kemball is a Professor in the Department of Astronomy at the University of Illinois at Urbana-Champaign, within the College of Liberal Arts & Sciences. He also holds affiliations with the National Center for Supercomputing Applications (NCSA) as a Professor and is a faculty affiliate of the Computational Science and Engineering program. Kemball is a member of the Center for Extreme-Scale Computation at NCSA/IACAT and leads the Kemball Research Group, which focuses on applying advanced computing to problems in observational astronomy. Dr. Kemball earned his Ph.D. in Physics in 1993. His educational background has provided the foundation for his interdisciplinary work at the intersection of computational science and astrophysics. Kemball's research lies at the intersection of advanced computing and astrophysics, with specific focus areas including: The theory of interferometry Astrophysical masers Late-type, evolved stars Gravitational lensing His work leverages extreme-scale computer systems to transform observational astronomy, enabling new scientific inquiries that were previously impossible. The exponential growth in computing capability has profoundly influenced his approaches to data-and compute-intensive scientific questions. An analysis of Kemball's recent publications shows a strong focus on applying computational methods to astronomical observations. His work spans from exoplanet detection using Bayesian methods to studying gravitational lensing and maser polarization. The research demonstrates a consistent theme of using advanced computing to extract maximum scientific value from observational data, particularly in the areas of interferometry and polarization studies. Among his notable recognition: Blue Waters Professor Named to the "List of Teachers Ranked as Excellent" four times since 2010 Kemball has been actively involved in teaching, offering courses such as Introduction to Astrophysics, Observational Astronomy, Scientific Writing for Astronomy, and Astronomical Techniques. His research group has participated in significant projects including the Square Kilometer Array Technology Development Project, specifically in the Calibration and Processing Group, addressing petascale computing challenges for radio astronomy. The Kemball Research Group focuses on applying high-performance computing to observational astronomy problems, particularly in interferometry, maser studies, and gravitational lensing. The group collaborates with the Center for Extreme-Scale Computation at NCSA/IACAT and contributes to advancing computational methods for next-generation astronomical facilities.

Ali Mansourianمشاهده پروفایل

استاد

• Geospatial Artificial Intelligence
• Spatial Data Infrastructures
• Multi-Criteria Decision Analysis
• +۷ مورد دیگر

Ali Mansourian is a Professor of Geomatics at Lund University's Department of Physical Geography and Ecosystem Science, where he serves as Director of the Lund University GIS Centre and Coordinator of the GIS & RS Master Programme. He is actively involved with the United Nations Global Geospatial Information Management (UN-GGIM) Academic Network and previously served on the European Association of Geographic Information Laboratories in Europe (AGILE) council. His academic leadership spans large-scale international research initiatives and capacity-building projects funded by Erasmus+ and SIDA. Mansourian's research focuses on Geospatial Artificial Intelligence (GeoAI), Spatial Data Infrastructures (SDI), and Multi-Criteria Decision Analysis (MCDA) using multi-objective optimization techniques. His work extends to applying GIS in epidemiology and public health, disaster risk management, land-use planning, climate change, environmental management, and sustainability. His research portfolio demonstrates a strong interdisciplinary approach, bridging geospatial technology with critical societal challenges. His recent publications reveal a clear trend toward integrating advanced machine learning techniques with geospatial analysis, particularly in health applications, environmental monitoring, and climate change impacts. The research shows increasing emphasis on spatial ensemble learning, remote sensing applications, and the development of GeoAI tools that make geospatial analysis more accessible through natural language interfaces. His work spans multiple continents, with significant contributions in Africa, Europe, and Asia. Mansourian has extensive experience supervising PhD students and postdoctoral researchers, though specific student names aren't listed in the provided materials. He has coordinated numerous large-scale international projects including Geo-Academy, INTEGRAL, CADEO, and SWEMENA, demonstrating significant grant acquisition and management expertise. His leadership extends to evaluating proposals for major European research grant programs and serving as an invited evaluator for PhD theses. As Director of the Lund University GIS Centre and active member of multiple international networks, Mansourian leads a dynamic research environment focused on advancing geospatial technologies and their applications. His teams work at the intersection of traditional GIScience and emerging artificial intelligence approaches, creating innovative solutions for complex spatial problems across multiple domains including public health, environmental management, and sustainable development.

Gernot Akemannمشاهده پروفایل

استاد

• Random Matrix Theory
• Quantum Chromodynamics (QCD)
• Statistical Mechanics
• +۳ مورد دیگر

Gernot Akemann is a Professor at the Faculty of Physics, University of Bielefeld, with a focus on Random Matrix Theory and its applications in high energy physics and statistical mechanics . His work spans topics such as QCD Dirac spectra, effective field theory, orthogonal polynomials, asymptotic analysis, and universality. He has held leadership roles in projects like SFB 1283 and IGK 2235, emphasizing singular and random systems. 2025 : Subproject manager in SFB 1283 2024 : Leverhulme Trust Visiting Professorship at University of Bristol 2019 : Visiting Professor at KTH Stockholm His research includes random matrix theory for applications in quantum chromodynamics, statistical mechanics, and mathematical physics. Recent articles explore complex eigenvalue statistics, Ginibre ensembles, and their connections to Coulomb gases and territorial behavior in ecology. He has contributed to understanding universality in spectral statistics and non-Hermitian systems. Notable scientific awards include the Leverhulme Trust Visiting Professorship , Knut and Alice Wallenberg Foundation support, and DFG Research Grants . His work has been funded through projects like SFB 1283 and RTG 2235.

• Nuclear materials chemistry
• Experimental thermodynamics
• Computational thermodynamics
• +۹ مورد دیگر

Dr. Anna Louise Smith is an Associate Professor in the Reactor Physics and Nuclear Materials section at the Radiation Science and Technology department of Delft University of Technology (TU Delft). She is a physical chemist and materials scientist specializing in nuclear materials, with expertise in both experimental and computational approaches to studying advanced nuclear fuel systems. Dr. Smith earned her "diplôme d'ingénieur" from Chimie ParisTech in 2011, conferring a Master of Science in Chemistry and Chemical Engineering. She simultaneously completed an M.Phil. in Advanced Chemical Engineering from the University of Cambridge. She received her PhD in Materials Science and Metallurgy from Cambridge in 2015, after spending three years at the Joint Research Centre in Karlsruhe, Germany, where she developed expertise in nuclear fuel chemistry and chemical thermodynamics of actinide materials. Her research focuses on the chemistry of advanced nuclear fuels, including ceramics (oxides) and molten salts (fluorides and chlorides), with particular interest in structure-property relationships. She combines experimental and computational studies to investigate physico-chemical properties from atomic to macroscopic scales, with applications to next-generation nuclear reactor technologies emphasizing safety and sustainability. Her current interests include the chemistry of fission products in oxides and molten salts, interaction chemistry between fuel, coolant, and cladding materials, and corrosion issues at high temperatures in nuclear reactor environments. Analysis of Dr. Smith's recent publications (2022-2025) reveals a strong focus on thermodynamic properties of molten salt systems, particularly those relevant to nuclear fuel cycles. Her work spans fundamental studies of actinide chemistry in molten fluorides and chlorides, corrosion mechanisms between molten salts and structural materials, and the development of thermodynamic models for complex multi-component systems essential for molten salt reactor design. She has made significant contributions to understanding the behavior of thorium-based fuel systems and corrosion products in high-temperature environments. Dr. Smith has established a research team and laboratory at TU Delft specifically designed for handling uranium and thorium materials. Her work contributes to several major European projects focused on advanced nuclear technologies, including the MIMOSA and ENDURANCE projects that explore the safety and performance of molten salt reactors for deployment in the European Union. She collaborates extensively with researchers across Europe and has published over 50 research outputs including articles, book chapters, and review papers.

Charles Burantمشاهده پروفایل

استاد

• Obesity
• Type 2 Diabetes
• Insulin Resistance
• +۵ مورد دیگر

Charles Burant is Professor of Nutritional Sciences at the University of Michigan School of Public Health and holds a professorship in the Section of Metabolism, Endocrinology, and Diabetes within the Medical School's Department of Internal Medicine. He holds the endowed Dr. Robert C. and Veronica Atkins Professor of Metabolism chair. His clinical practice focuses on obesity, type 2 diabetes, and related metabolic disorders at the WK Kellogg Eye Center, Brehm Tower in Ann Arbor. Dr. Burant's research integrates multi-omic approaches (genomics, transcriptomics, proteomics, metabolomics) with clinical and behavioral phenotypes to unravel mechanisms of obesity, insulin resistance, and diabetes. His laboratory investigates pancreatic beta-cell metabolism, insulin secretion dynamics, and adult pancreatic progenitor cells for beta-cell regeneration. As director of the Michigan Metabolomics and Obesity Center (MMOC), he oversees the NIH-funded Nutrition Obesity Research Center and Michigan Regional Comprehensive Metabolomics Resource Core, providing critical infrastructure for metabolic disease research. The MMOC also coordinates the Investigational Weight Management Clinic, which combines clinical care with phenotypic tracking to study diabetes prevention and weight regain mechanisms in formerly obese patients. Analysis of his recent publications reveals dominant themes in multi-omic exercise physiology, causal metabolite-disease relationships, and tissue-specific metabolic adaptations. His work consistently emphasizes sexual dimorphism, temporal dynamics, and molecular mechanisms in metabolic disorders, particularly through large-scale consortia like MoTrPAC. Key focus areas include lipid metabolism in disease contexts, adipose tissue remodeling, and mitochondrial function across tissues. While no specific scientific awards beyond his endowed chair are listed, his leadership of major NIH-funded centers demonstrates significant recognition. His grant portfolio includes infrastructure support through the MMOC, NORC, and Metabolomics Resource Core, enabling extensive human and animal studies in metabolic diseases. Dr. Burant directs the MMOC's integration of research and clinical care through the Investigational Weight Management Clinic. His laboratory maintains active programs in insulin resistance mechanisms using animal models and explores pancreatic progenitor cell applications for diabetes therapy, representing forward-looking approaches to metabolic disease treatment.