جست‌وجوی استاد و پژوهشگر

• Electromagnetic Engineering
• Magnetic Levitation
• Vibration Isolation
• +۶ مورد دیگر

Dr. William Robertson is a Senior Lecturer in the School of Electrical and Mechanical Engineering at the University of Adelaide, specializing in electromagnetics and biomechanics. His research focuses on advancing magnetic levitation (maglev) systems for vibration isolation, wave energy conversion, and actuator design through the AUMAG research group. He is a proponent of open science, emphasizing tool and data sharing. His work integrates fundamental physics with applied engineering solutions. Key research areas include magnetic force modeling, quasi-zero stiffness mechanisms, and biomechanical gait analysis. He supervises Honours, Masters, and PhD students, fostering innovation in both mechanical systems and human movement studies. The AUMAG group collaborates with industry on projects like maglev elevators and energy harvesting devices. His biomechanics work involves developing low-cost 3D scanning methods for musculoskeletal modeling and sports equipment optimization. Recent projects include non-contact force measurement techniques in maglev systems and gait recognition algorithms using force platforms. His work spans interdisciplinary applications from robotics to environmental modeling, with a focus on precision engineering and data-driven methodologies.

Henrik Andersen Sveinssonمشاهده پروفایل

پژوهشگر

• Molecular Simulations
• Geological Materials
• Fracture Mechanics
• +۳ مورد دیگر

Henrik Andersen Sveinsson is a Researcher and Postdoctoral Fellow at the University of Oslo's Department of Physics, affiliated with the Center for Computing in Science Education. His research focuses on molecular simulations of fractures in geologically relevant materials like silica, ice, and gas hydrates, alongside fundamental studies of friction dynamics. He teaches courses including HON1000 (Cross-Disciplinary Thematic Focus for Honours Students) and HON2200 (Data-driven Projects), alongside prior instruction in electromagnetism and wave physics. His work bridges computational physics and geoscience, with recent papers exploring machine learning applications in atomic force modeling, methane hydrate mechanics under varying conditions, and diffusion-driven frictional aging. Key contributions include studies on nanoscale damage production in quartz and the role of water ice in nanocrystalline materials. Publications highlight interdisciplinary approaches, combining molecular dynamics with AI tools for material property prediction and environmental impact assessments. Sveinsson’s research has implications for understanding earthquake mechanics, climate-related material stability, and energy storage systems. His academic background includes a PhD in computational physics (2019) and master’s/bachelor’s degrees from UiO (2015/2013). Current projects include the ChemFrac initiative on reaction-induced fracturing and CO2Basalt studies. No awards are explicitly listed, though his work is broadly collaborative with institutions like the Norwegian Broadcasting Corporation and international journals.

• Multi-GNSS Positioning
• Quality Control and Integrity Monitoring
• GNSS Ionosphere Sensing
• +۴ مورد دیگر

Dr. Safoora Zaminpardaz is a Senior Lecturer in the School of Science at RMIT University, specializing in GNSS positioning, geodesy, and navigation systems. Her research focuses on multi-GNSS positioning, quality control, integrity monitoring, and ionospheric sensing, with applications in climate monitoring and smartphone-based positioning. She holds an ORCID identifier (0000-0003-0719-674X) and supervises postgraduate students in areas such as integrated GNSS-5G positioning and optical clocks in GNSS systems. Her teaching interests include terrestrial surveying and least-squares adjustment. Recent research highlights include studies on flash drought monitoring using evaporative demand indices and optical clock performance for enhanced GNSS positioning accuracy. Dr. Zaminpardaz actively contributes to international conferences and journals, advancing methodologies in deformation analysis and positioning reliability. She is open to supervising PhD and Masters students in her research areas and collaborates on projects addressing weather extremes, smartphone antenna calibration, and multi-frequency GNSS measurements.

• Intelligent Vehicles
• Traffic Technologies
• Advanced Driver Assistance Systems (ADAS)
• +۷ مورد دیگر

Iván García Daza is a Professor at the Department of Automática, University of Alcalá, Spain. He leads research in Intelligent Vehicles and Traffic Technologies (INVETT group), focusing on autonomous systems, digital twins, and ADAS technologies. His work integrates computer vision, deep learning, and human-vehicle interaction analysis. Education: PhD in Systems Engineering from University of Alcalá (2011), with a thesis on "Driver Fatigue Detection via ADAS Fusion" supervised by Rafael Barea Navarro and Luis Miguel Bergasa Pascual. Research interests include autonomous vehicle algorithms, real-time sensor fusion, virtual reality simulations for human-factor testing, and ecological conservation projects. His recent work emphasizes digital twin technology to bridge simulation-to-reality gaps in autonomous systems. Publications span autonomous driving validation frameworks, LiDAR-based navigation, and ecological studies. Notable contributions include VR-based human-vehicle interaction testing and synthetic data generation for ADAS systems. Labs/Teams: Director of the INVETT lab at the University of Alcalá, collaborating on EU-funded projects involving automotive industries and environmental agencies.

• Signal Processing
• Communication Systems
• Digital Filters
• +۳ مورد دیگر

José Bienvenido Sáez Landete is an Associate Professor at the Universidad de Alcalá, affiliated with the Signal Theory and Communications Department. He holds a PhD from Universidad Complutense de Madrid (2006), focusing on optical signal generation for high-resolution positioning systems. His research spans signal processing, communication systems, digital filter design, and chaos theory applications. Notable contributions include work on α-spline-based filter design, validation metrics for solid mechanics models, and chaos-based modulation techniques for visible light communication systems. He has collaborated on interdisciplinary educational projects, such as competency-based curriculum development at UAH. His publications demonstrate expertise in both theoretical and applied aspects of signal processing, with applications ranging from planetary science (Mars atmospheric data analysis) to optical engineering. Research interests include: Design and optimization of digital filters using α-spline functions Chaos-based modulation for robust multicarrier systems Validation techniques for mechanical models and sensor data Interdisciplinary educational strategies in engineering curricula Recent work emphasizes parallel computing approaches for chaos indicators and novel parameterization methods in signal processing. His educational contributions address competency planning and interdisciplinary innovation in higher education. Key collaborations include projects on LED nonlinearity compensation and Mars atmospheric denoising algorithms, reflecting a dual focus on theoretical advancement and real-world applications.

John Hardingمشاهده پروفایل

مدرس

• Computational Design
• Architectural Structures
• Decarbonisation & Biomaterials
• +۷ مورد دیگر

Dr. John Harding is a Lecturer in Architecture at the University of Reading, where he serves as the BSc Architecture Admissions Tutor and teaches architectural technology at both undergraduate and postgraduate levels. He is affiliated with the Department of Architecture within the School of Architecture, focusing on digital strategies for reducing embodied carbon in response to the climate emergency. PGCert in Teaching and Learning in Higher Education (2017) EngD, University of Bath, UK (2015) BA (Hons) Mathematics, The Open University, UK (2011) MSc Architecture: Computing and Design, University of East London, UK (2008) BSc (Hons) General Architectural Studies, University of Bath, UK (2002) His research lies at the intersection of computational design, architectural structures, and sustainability, with a particular emphasis on decarbonisation, biomaterials, evolutionary design, and AI applications in architecture. He explores how digital tools can bridge architecture and structural engineering, fostering innovative, low-carbon building solutions. His recent publications reflect a strong trend in computational and sustainable architecture, including work on bamboo gridshells, cellulose-based 3D printing, interactive evolution in design, and parametric modeling. These works demonstrate a consistent focus on integrating advanced computation with ecological responsibility and interdisciplinary collaboration. Dr. Harding is a Member of the International Association of Shell and Spatial Structures (IASS) and a Fellow of the Higher Education Academy (HEA), recognizing his professional standing and teaching excellence. He has contributed to significant research projects and pavilion designs, including the UWE Research Pavilion 2016 and the Ongreening Pavilion, often working in collaborative teams. His work is supported by a strong record of conference and journal publications, indicating active engagement in the academic and design communities.

Christoph Holstمشاهده پروفایل

استاد

• Engineering Geodesy
• Geodetic Monitoring
• Terrestrial Laser Scanning
• +۶ مورد دیگر

Prof. Dr.-Ing. Christoph Holst is a Full Professor of Engineering Geodesy at the Technical University of Munich (TUM), leading the Chair of Engineering Geodesy since 2021. His academic journey includes a PhD from the University of Bonn (2015) and prior roles as research associate, lecturer, and group leader there. He specializes in geodetic monitoring using terrestrial laser scanning (TLS), focusing on infrastructure, industrial, and environmental applications. His research emphasizes high-precision static/mobile TLS automation, sensor calibration, and deformation analysis. Education: Bachelor and Master in Geodesy & Geoinformation, University of Bonn (Focus: Engineering Geodesy & Parameter Estimation) PhD in Geodesy, University of Bonn (2015, summa cum laude ) Research Interests: His work bridges engineering and environmental geodesy, with key areas: - Advanced TLS Methods : Calibration, registration, and error modeling for deformation analysis. - Interdisciplinary Applications : Monitoring radio telescopes, landslides, and agricultural systems. - Digitalization & Automation : AI integration, 3D point cloud processing, and real-time monitoring systems. His team develops innovative tools like the Simulation Tool for Point Accuracy , enhancing TLS reliability in complex environments. Publications & Awards: Over 100 peer-reviewed articles in journals like Remote Sensing and ISPRS Journal . Notable awards include the GKGM Prize (2019) for TLS calibration and the Teaching Award (2019) from the University of Bonn. His work has been recognized by the Bavarian Academy of Sciences and IEEE societies. Grants & Leadership: He leads TUM's Leonhard Obermeyer Center for Digital Methods and chairs the DVW Working Group on Mobile Sensor Systems. Active in national/international committees (DGK, IEEE, PhenoRob cluster). Labs & Teams: Runs the Geodetic Testing Laboratory with calibration fields and monitoring setups. Collaborates on projects like AImon5.0 for landslide AI monitoring and TUM2TWIN urban digital twin benchmarking.

Anna Golijanek-Jędrzejczykمشاهده پروفایل

استاد

• Metrology
• Measurement Uncertainty Estimation
• Electrical and Non-Electrical Quantity Measurements
• +۳ مورد دیگر

Dr. Anna Golijanek-Jędrzejczyk is a Professor and Vice-Dean for Education at Gdańsk University of Technology's Faculty of Electrical and Control Engineering, Department of Metrology and Information Systems. She holds a PhD and DSc in Electrical Engineering and has led academic administration roles since 2020. Her research focuses on metrology, uncertainty estimation, fluid flow measurements, and short-circuit impedance analysis. She has authored over 50 publications, including studies on orifice plate accuracy, gamma-ray flow analysis, and robotics control systems. Awards include the National Education Commission Medal (2022) and ENERGA SA's best doctoral dissertation award (2007). She leads projects like 'Cylindrical Orifice Testing in Laminar Flow' and 'Methodology for Two-Phase Flow Measurements.' She advises on engineering education and chairs committees for quality assurance and student mentorship. Education: MSc/PhD from Gdańsk University of Technology (2001/2007) Positions: Vice-Dean (2020-2028), Erasmus+ Coordinator, Senate Committee Member Her research interests span metrological analysis of flow systems, uncertainty quantification, and electrical measurement standards. Recent work includes studies on multi-hole orifice performance and gamma-ray techniques for two-phase flow velocity measurement. She contributed to projects like the 'CylOr' MINIATURA grant (2021) and 'Polska Metrologia' initiative (2021). Awards: Over a dozen accolades from Rectors and industry partners for research, teaching, and innovation Teaching responsibilities include courses in automation, optimization methods, and measurement systems across 460+ academic offerings. She supervises thesis projects and chairs the Department's education committee.

Philip Charltonمشاهده پروفایل

استاد

• Gravitational Wave Astronomy
• Relativity
• Differential Geometry
• +۳ مورد دیگر

Philip Charlton is a Professor at Charles Sturt University (CSU) within the School of Computing, Mathematics and Engineering, Department of Data Science and Engineering. He has held roles including postdoctoral fellowships at the Australian National University and California Institute of Technology, and was a lecturer at La Trobe University. His research focuses on gravitational wave detection, relativity, and differential geometry, particularly contributing to the LIGO Scientific Collaboration since 2000. He was part of the 2015 historic detection of gravitational waves from merging black holes and continues to analyze stochastic gravitational wave backgrounds. In 2024, he received the Excellence Award (Research) for collaborative contributions. Education: PhD in Mathematics, University of Newcastle (1998) Research Interests: Dr. Charlton’s work centers on gravitational wave astronomy, leveraging large-scale experiments like LIGO. His studies explore data analysis techniques for detecting stochastic backgrounds of gravitational waves, which hold clues about cosmic history inaccessible through electromagnetic observations. He collaborates globally with institutions like ACIGA and contributes to multi-messenger astrophysics projects combining gravitational wave and electromagnetic data. Recent Work Trends: Recent articles emphasize detector characterization (e.g., LIGO's fourth observing run), pulsar signal searches, and supernova gravitational wave studies. His work bridges theoretical physics with experimental analysis, advancing observational capabilities. Awards: Excellence Award (Research) 2024 for collaborative scientific contributions. Advisory & Teaching: Actively involved in curriculum development for mathematics programs at CSU, including revising the Graduate Diploma of Mathematics (2022) and creating online assessment examples. His educational activities reflect a commitment to bridging research and pedagogy. Labs/Teams: Member of the LIGO Scientific Collaboration and Australian Consortium for Interferometric Gravitational Astronomy (ACIGA), contributing to detector optimization and data analysis frameworks.

Nick van de Giesenمشاهده پروفایل

استاد

• Water Resources Management
• Hydrological Modeling
• Remote Sensing
• +۱۲ مورد دیگر

Nick van de Giesen is a Professor in the Department of Water Management at the Faculty of Civil Engineering and Geosciences, Delft University of Technology (TU Delft). He holds the Van Kuffeler Chair of Water Resources Management and has been a key figure in advancing hydrological science and sustainable water solutions since 2004. He is also the chairman of the Delft Global Initiative since 2015, promoting global development through engineering and science. His research focuses on the measurement and modeling of complex water systems, with an emphasis on developing science-based decision support systems. Key research themes include distributed temperature sensing (DTS), high-performance computing, satellite remote sensing, and the development of low-cost, innovative sensors for hydro-meteorological monitoring, especially in data-scarce regions like sub-Saharan Africa. His recent publications reflect a strong trend toward uncertainty quantification, risk-informed water management, climate resilience, and the integration of ground observations with satellite data. Projects such as TAHMO (Trans-African Hydro-Meteorological Observatory) and eWaterCycle demonstrate his leadership in creating open, scalable, and FAIR (Findable, Accessible, Interoperable, Reusable) hydrological modeling platforms and dense observation networks across Africa. AGU Ambassador Award (2023) Henry Darcy Medal (2015) Special Prize, European Satellite Navigation Competition (2015) Leermeester Prijs, TU Delft (2014) IBM Faculty Award (2010) He actively advises and collaborates on major research initiatives, leads international consortia, and contributes to policy-relevant science. His work integrates strong technical innovation with real-world impact, particularly in Africa, where he promotes education, data access, and capacity building through sensor deployment in schools and open data platforms. He teaches courses in Integrated Water Resources Management and Water Management at TU Delft. He leads the Water Systems Monitoring & Modelling research group and is deeply involved in major projects including TAHMO, eWaterCycle, and TEMBO Africa, which focus on building resilient, data-driven water management systems. These initiatives often involve partnerships with institutions such as Utrecht University, the Netherlands eScience Center, Oregon State University, and various African universities and agencies.

• 3D City Modeling
• Laser Scanning
• Photogrammetry
• +۷ مورد دیگر

Hongchao Fan is a Professor in the Department of Civil and Environmental Engineering at the Faculty of Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on 3D city modeling (digital twins) , laser scanning , photogrammetry , and spatial data mining using crowdsourcing data , with applications in urban infrastructure, cultural heritage preservation, and solar energy assessment. Key research areas: 3D building reconstruction from point clouds Knowledge graph integration for urban data OpenStreetMap (OSM) data inequality analysis Solar energy potential modeling in Nordic cities Machine learning for geospatial applications Current projects: Digitalization for Culture Heritage (2025-2028, Norwegian Directorate for Higher Education and Skills) MobilityLab Stor-Trondheim (MoST) (2024-2026, digital twins for transportation models) Hellios (2022-2024, solar energy in Nordic cities) Deep learning 3D building models (NTNU Digital, 2021-2025) Technical expertise: Airborne Laser Scanning (ALS) data processing, semantic facade reconstruction, photogrammetric algorithms, and GIS-based decision support systems. He serves as Associate Editor for Big Earth Data and Geo-Spatial Information Science .

Esben Bryndt Klinkbyمشاهده پروفایل

پژوهشگر

• Spallation
• Thomson Scattering
• Neutron Sources
• +۵ مورد دیگر

Esben Bryndt Klinkby is a Senior Researcher at the Department of Physics, Technical University of Denmark (DTU), within the Center for Nuclear Energy Technology. His research focuses on neutron instrumentation and nuclear applications for major facilities including the European Spallation Source and HighNESS project. Research Interests Klinkby specializes in spallation physics, Thomson scattering, neutron sources, cold neutrons, neutronics, and radiation dosimetry. His work integrates nuclear engineering, computational physics, and materials science to develop neutron spectrometers, radiation detection systems, and nuclear data software for energy production and fundamental physics research. Recent Publications Trends His 2024-2025 publications reveal dominant themes in neutron instrumentation for spallation sources, including spectrometer design (BIFROST), nuclear data software development (HighNESS), and radiation detector calibration. These works demonstrate interdisciplinary convergence of nuclear engineering, computational physics, and materials science to solve challenges in neutron scattering and advanced reactor technologies. Scientific Awards No scientific awards are listed in the available information. Advising and Grants Klinkby has supervised two PhD students: M. Pater: Advanced freeze valves for energy production and conversion systems using molten salts (2020-2023) A. Nalbandyan: Coupled Neutronics and thermal-hydraulics simulations of molten salt nuclear reactors (2017-2021) His research is supported by DTU-funded projects in nuclear reactor technology and energy conversion systems. Labs and Teams He is a core member of DTU's Center for Nuclear Energy Technology and collaborates internationally on HighNESS and European Spallation Source initiatives, working within multidisciplinary teams spanning nuclear physics, engineering, and materials science.

• Causality
• Statistical Machine Learning
• Probabilistic Modeling
• +۱۲ مورد دیگر

Bryon Aragam is an Associate Professor and Topel Faculty Scholar at the Booth School of Business , University of Chicago . His work bridges causality , statistical machine learning , and probabilistic modeling , with applications in AI systems like ChatGPT and DALL-E. Key research themes include: Causal Structure Learning : Extracting latent causal graphs from multimodal data using nonparametric methods. Deep Generative Models : Analyzing overparametrization and variational inference for representation learning. Latent Variable Discovery : Using Markov boundaries and convex subset lattices to uncover hidden dependencies. Algorithm Design : Developing scalable methods like DAGMA for DAG learning and theoretical guarantees for GES/PC algorithms. His paper trends reveal a focus on nonparametric statistics , graphical models , and neural network theory , with recent work on transformer memory dynamics and identifiability in deep latent models . Papers frequently appear in top venues like NeurIPS , JMLR , and AOS , emphasizing theoretical rigor and practical validation.

Steve Mannمشاهده پروفایل

استاد

• Wearable Computing
• Augmented Reality (AR)
• Digital Imaging
• +۷ مورد دیگر

Prof. Steve Mann is a tenured full professor at the University of Toronto in the Department of Electrical and Computer Engineering , Faculty of Applied Science and Engineering. He is also the Director of the EyeTap Personal Imaging (ePi) Lab and the FL_UI_D Laboratory , while serving as Chief Scientist for both the Rotman School of Management's CD Lab and Meta . Education: PhD from MIT (1997) As the inventor of wearable computing , Mann's research spans augmented reality (EyeTap) , high dynamic range (HDR) imaging , comparametric equations , and humanistic intelligence (HI) . He pioneered inventrepreneurship education and developed the hydraulophone , an instrument based on absement theory. His recent work includes the 2025 IEEE Consumer Electronics Award and 2024 Lifeboat Foundation Guardian Award , recognizing contributions to wearable tech and humanity. Scientific achievements include over 200 publications , patents , and media exhibits at institutions like MoMA and the Smithsonian. Scientific Awards: 2025 IEEE Consumer Electronics Award 2024 Lifeboat Foundation Guardian Award 2004 Leonardo Award for Excellence Coram International Sustainable Design Award (First Place) Advising and Innovation: Co-founded over $1B in tech ventures with students, integrating invention and entrepreneurship into academia. His labs explore fluid-based musical instruments and privacy-enhancing wearables . Labs & Teams: Leads the ePi Lab and FL_UI_D Lab , focusing on wearable imaging, mediated reality, and reverse kinematics in fluidic musical systems.

Cengiz Camciمشاهده پروفایل

استاد

• Heat transfer in propulsion systems
• Analytical and experimental fluid dynamics
• Turbine aerodynamics
• +۳ مورد دیگر

Cengiz Camci is a Professor in the Department of Aerospace Engineering at Pennsylvania State University, with a focus on heat transfer and fluid dynamics in air-breathing propulsion systems. His research spans turbine aerodynamics, cooling schemes for gas turbines, and finite element methods for viscous flow analysis. Research Keywords: Turbines, Heat Transfer, Aerodynamics, Turbomachine Blades, Axial Flow Rotors, Cooling, Coolants, Liquid Crystals, Fans, Gas Turbines, Takeoff, Viscous Flow, Ducts, Landing, Vortex Flow, Secondary Flow, Flow Structure, Nozzles, Reynolds Number. Recent publications highlight his work on optimizing turbine blade geometries, unsteady flow structures in rim seal cavities, and supersonic compressor designs. Collaborators include researchers from multiple institutions on topics like UAV propulsion and aerothermal efficiency. Contact: Email: cxc11@psu.edu Phone: (814) 865-9871 Office: 223 Hammond Bldg, College Avenue, University Park, PA 16802