جست‌وجوی استاد و پژوهشگر

• Earthquake Site Response
• Ground-Motion Modeling
• Seismic Building Codes
• +۳ مورد دیگر

Dr. Paolo Bergamo is a Senior Researcher at the Swiss Seismological Service (SED), ETH Zurich, since April 2016. He specializes in engineering seismology, focusing on earthquake site response models, ground-motion modeling, and seismic risk assessment. His work includes projects such as the Earthquake Risk Model Switzerland (ERM-CH23) and the SERA Horizon2020 initiative. He holds a PhD in Earth Sciences from Politecnico di Torino (2012) and advanced degrees in Environmental Engineering. Key research areas include soil amplification analysis, geophysical surveys, and the integration of empirical and computational methods for seismic hazard mitigation. His contributions span microzonation studies, site characterization using borehole and ambient vibration data, and the development of design-compatible waveforms for Swiss building codes. Education: PhD in Water and Territory Management Engineering, Politecnico di Torino (2012) MSc and BSc in Environmental Engineering, Politecnico di Torino (2008, 2005) Research Interests: Dr. Bergamo’s work emphasizes the collation of empirical ground-motion data with building codes, spatial modeling of soil amplification, and geophysical site characterization. He employs advanced techniques like surface-wave analysis, machine learning, and canonical correlation for seismic hazard assessment. Projects & Grants: ERM-CH23: Site response implementation and national seismic risk modeling SERA Project (Horizon2020): Site characterization indicators Swiss Federal Office for Environment-funded studies on microzonation and geophysical monitoring Labs & Teams: Active contributor to the Engineering Seismology group at SED, leading efforts in alpine valley seismic modeling and offshore site characterization in Lake Lucerne.

• Power Electronic Converters
• Embedded Systems
• Analog and Mixed-Signal Circuit Design
• +۵ مورد دیگر

Dr. Anwar Ali is a Lecturer in the Department of Electronic and Electrical Engineering at Swansea University's Bay Campus, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. He holds an M.S. in Electronic Engineering (2010) and a Ph.D. in Electronic and Communication Engineering (2014) from Politecnico di Torino, Italy. His research focuses on: Power electronic converters and conditioning systems Embedded systems for aerospace applications Analog/mixed-signal circuit design Satellite technologies including power management Attitude determination and control systems Thermal modeling of aerospace systems Dr. Ali has authored over 50 publications with recent works concentrated in satellite power systems, thermal analysis of spacecraft, machine learning applications in healthcare/robotics, and energy harvesting techniques. His research demonstrates consistent innovation in small satellite technologies and cross-disciplinary applications of electrical engineering principles. He currently supervises PhD projects on: Wireless power transfer for implantable medical devices Integrated power and attitude control optimization for small spacecraft and teaches modules including Analogue Design, Software Engineering, Embedded System Design, and Integrated Circuit Design.

Craig Hancockمشاهده پروفایل

استاد پژوهشی

• Geospatial Engineering
• Structural Health Monitoring
• Global Navigation Satellite Systems (GNSS)
• +۳ مورد دیگر

Dr. Craig Hancock is a Research Professor in Geospatial Engineering with 15 years of research experience in Surveying and Geodesy. His expertise spans GNSS error mitigation, structural monitoring, and geospatial techniques for digital construction. He has supervised 10 PhD students and published over 80 academic papers. Education: BSc and PhD in Surveying/Geomatics Key Projects: Principal Investigator for projects on GNSS error mitigation, structural health monitoring, and marine economy technology. His research focuses on three core areas: GNSS error categorization and mitigation (particularly ionospheric effects), structural and environmental change monitoring, and geospatial data acquisition for BIM and digital construction. Recent work includes improving 3D modeling accuracy, UAV-based GNSS spoofing detection, and BIM-enabled facility management in healthcare infrastructure. His articles explore topics like sensor optimization, structural dynamics, and geospatial data fusion. Grants include £150k for bridge deformation studies and £9k for ionospheric error analysis. He actively contributes to teaching and enterprise initiatives, integrating geospatial technologies with industry needs.

Eileen Martinمشاهده پروفایل

دانشیار

• Near-surface geophysics
• Environmental monitoring
• Fiber-optic sensing (DAS/DTS)
• +۵ مورد دیگر

Eileen Martin is an Associate Professor in the Department of Geophysics and Applied Math and Statistics at the Colorado School of Mines. Her research focuses on near-surface geophysics, environmental monitoring, and the application of distributed acoustic sensing (DAS) technology. She leads projects involving fiber-optic sensing for permafrost degradation, urban seismic monitoring, and mining safety. Martin has developed open-source tools like DASCore and contributes to scalable computational methods for geophysical data analysis. Education: PhD (2018) in Computational and Mathematical Engineering from Stanford University; MS (2017) in Geophysics from Stanford; BS (2012) in Mathematics and Physics from UT Austin. Research interests include fiber-optic sensing systems, seismic imaging, data-intensive computing, and applications in environmental science. Her work bridges geophysics with computational methods, emphasizing real-world deployment in challenging environments like arctic permafrost sites and underground mines. Her recent work explores DAS for glacier monitoring, mine seismicity detection, and urban infrastructure assessment. Collaborative projects include Arctic permafrost monitoring and developing public datasets for geoscience research (PubDAS repository). Grants and lab activities include NSF CAREER funding for scalable computational seismology and partnerships with industry on fiber-optic monitoring solutions.

• Computational Fluid Dynamics
• Discontinuous Galerkin Methods
• Finite Volume Methods
• +۶ مورد دیگر

Michael Dumbser is a Full Professor at the University of Trento's Department of Civil, Environmental and Mechanical Engineering. His research focuses on computational fluid dynamics, numerical methods for hyperbolic conservation laws, and high-performance computing. He specializes in developing structure-preserving numerical schemes such as discontinuous Galerkin and finite volume methods for continuum mechanics, relativistic fluid dynamics, and multiphase flows. Teaching responsibilities include courses like Calcolo numerico e programmazione , High-Performance Computing for Multi-Functional Metamaterials , and Metodi numerici per l'ambiente . His work emphasizes thermodynamically compatible formulations and adaptive numerical methods for complex physical systems. Recent research trends involve hyperbolic reformulations of classical models (e.g., Navier-Stokes-Korteweg, Einstein equations), staggered semi-implicit schemes for incompressible flows, and GPU-accelerated algorithms. His publications span topics from geophysical fluid dynamics to relativistic astrophysics, with a focus on maintaining physical conservation principles in numerical implementations. No scientific awards are explicitly listed in the provided information. His advising record is not detailed here, though his courses suggest involvement in student mentorship. Research collaborations include projects on metamaterials and computational geophysics. Current initiatives include developing unified models for earthquake rupture dynamics, non-Newtonian fluid simulations, and adaptive mesh refinement techniques. His lab work involves high-performance computing frameworks like ExaHyPE for large-scale wave propagation studies.

Mourad Zeghalمشاهده پروفایل

استاد

• Geotechnical Engineering
• Soil Mechanics
• Seismic Response Analysis
• +۳ مورد دیگر

Dr. Mourad Zeghal is a Professor in the Department of Civil and Environmental Engineering at Rensselaer Polytechnic Institute (RPI). His research focuses on computational geomechanics, seismic response monitoring, and geotechnical system identification. He leads projects addressing liquefaction mitigation, multiscale modeling of geosystems, and development of advanced computational tools for geotechnical analysis. Dr. Zeghal collaborates with RPI's Center for Network for Earthquake Engineering Simulation (CEES), Scientific Computation Research Center (SCOREC), and Inverse Problems Center (IPRPI). His work emphasizes reducing risks from natural hazards through improved design tools and model validation. Key projects include the Liquefaction Experiments and Analysis Projects (LEAP), which use centrifuge testing and machine learning to analyze soil behavior under seismic loads. Dr. Zeghal's research integrates experimental data with numerical simulations to enhance understanding of soil-structure interaction and lateral spreading during earthquakes. Research Interests: Soil liquefaction, multiscale modeling, inverse problem methods, computational geomechanics Key Collaborations: CEES, SCOREC, IPRPI, and global research networks Focus Areas: Centrifuge testing, model validation, seismic hazard mitigation His recent publications (2023–2025) highlight advancements in quantifying uncertainty in soil response, analyzing LEAP centrifuge experiments, and developing machine learning approaches for model calibration. Dr. Zeghal actively engages with industry and government labs to translate research into practical engineering solutions.

• Rock Mechanics
• Fracture Mechanics
• Tunneling
• +۴ مورد دیگر

Mikael Rinne serves as Associate Professor in Rock Mechanics within the Department of Civil Engineering at Aalto University, Finland. Holding a Doctor of Science in Technology (D.Sc. Tech.), he brings extensive industry experience from Finnish and Swedish consulting firms (1988-2008) where he specialized in rock engineering and project management for tunneling and geological disposal of radioactive waste. His research focuses on rock and fracture mechanics with direct applications to rock engineering, mining, and tunneling. Current investigations center on digital characterization methods including photogrammetry, videogrammetry, and virtual reality systems for both practical engineering solutions and educational advancement. His work addresses critical challenges in fracture hydro-mechanics, rock mass characterization, and sustainable mining practices. Analysis of his 15 most recent publications (2023-2025) reveals a strong emphasis on digital transformation in rock mechanics. Key trends include non-contact surveying techniques for rock mass characterization, scale effects in fracture properties, and virtual learning environments for engineering education. His research bridges theoretical modeling with field applications in tunneling, mining, and radioactive waste disposal, demonstrating consistent innovation in measurement technologies and computational methods. No scientific awards were mentioned in the source materials. While specific advising details and grant information were not provided, his leadership of the Mineral-based materials and mechanics research group indicates active supervision of graduate students and management of research projects. His industry background suggests strong connections with tunneling and mining sectors for applied research collaboration. He directs the Mineral-based materials and mechanics research group at Aalto University, which develops advanced methodologies for rock characterization and engineering applications. Current initiatives integrate digital tools like smartphone LiDAR, 360-degree cameras, and virtual reality systems to enhance both field practices and educational outcomes in rock engineering.

Donat Fähمشاهده پروفایل

استاد

• Seismology
• Geophysics
• Earthquake Engineering
• +۷ مورد دیگر

Prof. Donat Fäh is a faculty member at ETH Zurich's Institute of Geophysics, part of the Swiss Seismological Service (SED). His work focuses on advancing seismic hazard assessment and site response modeling in Switzerland and beyond. He leads interdisciplinary projects integrating geophysical surveys, machine learning, and empirical data to refine risk models for urban areas like Basel and Lucerne. Key contributions include developing the ERM-CH23 national earthquake risk framework and improving methodologies for nonlinear soil behavior analysis using KiK-net data from Japan. His research emphasizes high-resolution amplification mapping, subsurface characterization via ambient vibrations, and understanding glacial and subaqueous slope dynamics. Research interests span seismic site effects, soil mechanics, landslide stability monitoring, and the application of advanced geophysical inversion techniques. He collaborates internationally to enhance earthquake risk communication and building code compliance, particularly in low seismicity regions. Current efforts include refining 3D geophysical models for urban settings and exploring Bayesian methods for subsurface structure identification. His work bridges fundamental geophysical research with practical engineering solutions for infrastructure resilience. Advising and grants: No formal advisees or grant details are explicitly listed in the provided texts. His collaborative projects, however, suggest involvement in large-scale initiatives such as URBASIS and the Swiss strong-motion network modernization. Labs and teams: Prof. Fäh is affiliated with the Swiss Seismological Service (SED) and actively contributes to ETH Zurich’s seismic monitoring infrastructure. His team collaborates with institutions in Japan (KiK-net network) and applies cutting-edge geophysical techniques to study subglacial environments and lakebed geotechnics.

• Scientific Computing
• Numerical Analysis
• Applied Mathematics
• +۵ مورد دیگر

Eirik Valseth is an Associate Professor of Scientific Computing at the Norwegian University of Life Sciences (NMBU), Department of Data Science. He holds concurrent roles as a research associate at the Oden Institute, University of Texas at Austin, and an affiliated researcher at Simula Research Laboratory (Department of Numerical Analysis and Scientific Computing). His expertise lies in advanced finite element methods for PDEs with applications in flood modeling and hydropower systems. Current Affiliation: NMBU (Norwegian University of Life Sciences) Secondary Affiliations: Oden Institute (UT Austin), Simula Research Laboratory Research interests span numerical methods for challenging PDE systems, including: Stabilized finite element formulations Hurricane storm surge and riverine flood modeling Hydropower infrastructure analysis Computational mechanics and applied mathematics His recent publications (2024–2025) emphasize flood risk assessment (compound flooding, dam breaks, dredging impacts), advanced numerical methods (isogeometric analysis, stochastic finite elements, graph-grammar algorithms), and environmental applications (pollution transport, pathogen distribution, mosquito population dynamics after hurricanes). Key trends include cross-disciplinary integration of physics-aware machine learning and robust hydrodynamic simulation tools. Valseth's work extends to software development (e.g., WAVEx for spectral wave models, SWEMniCS for coastal circulation) and large-scale modeling frameworks like the ADCIRC unstructured mesh model for US coasts. Collaborative projects involve institutions such as University of Texas at Austin, Simula, and NOAA.

Federica Sandroneمشاهده پروفایل

مدرس

• Rock Mechanics
• Tunnel Engineering
• Underground Construction
• +۴ مورد دیگر

Federica Sandrone is a Lecturer at the School of Architecture, Civil and Environmental Engineering (ENAC) at École Polytechnique Fédérale de Lausanne (EPFL), where she also serves as a Scientist at the Laboratory of Experimental Rock Mechanics (LEMR) within the Institute of Civil Engineering. Her academic career spans over 15 years with continuous contributions to tunnel engineering and rock mechanics research. Her research focuses on the intersection of rock mechanics and tunnel engineering, with particular expertise in tunnel pathology analysis, TBM performance in challenging geological conditions, and long-term tunnel behavior. Sandrone's work bridges theoretical analysis with practical engineering applications, addressing real-world problems in tunnel infrastructure management and maintenance. Her research methodology combines field investigations, laboratory testing, and numerical modeling to understand complex geomechanical behaviors. Analysis of her recent publications reveals a consistent focus on tunnel inspection methodologies, TBM performance prediction in difficult ground conditions, and the long-term behavior of tunnel structures. Her work has evolved from fundamental tunnel pathology studies to more advanced applications involving GIS integration, probabilistic modeling, and modern inspection techniques including laser scanning and image analysis. Engineer at SBB-Infrastructure (2008-present) responsible for Tunnels Management and Maintenance Assistant for Tunnel Engineering courses (2007-present) PhD supervision including Erika Paltrinieri's 2015 thesis on TBM performance Development of tunnel inspection methodologies and condition assessment procedures Her teaching activities include courses in Rock Mechanics and Underground Construction, where students learn about the mechanical behavior of rock materials, tunnel excavation and support design, planning and management of underground works, and risk assessment in tunnel construction.

• Geophysics
• Seismology
• Geodesy
• +۳ مورد دیگر

Walter Szeliga is a Professor and Department Chair at Central Washington University. He holds a Ph.D. from the University of Colorado (2010). His research focuses on seismology, GPS, and InSAR technologies, with emphasis on earthquake early warning systems, crustal deformation monitoring, and natural hazards mitigation. Dr. Szeliga leads efforts in integrating real-time geodetic data streams for disaster response and has contributed to the development of ShakeAlert® systems. His work spans global geophysical networks, ionospheric perturbations, and paleotsunami studies. Key research interests include: Real-time GNSS applications for seismic monitoring Crustal deformation analysis using InSAR and GPS Earthquake source characterization through multi-method approaches Historical seismotectonic reconstructions Disaster forecasting and early warning system optimization Recent studies highlight advancements in trapping atmospheric lee waves detection via GNSS, volcanic plume dynamics during the 2022 Tonga eruption, and long-term paleotsunami records in Chile. His work bridges geophysical instrumentation with computational modeling to address critical questions in tectonic processes and hazard assessment. Scientific contributions include 50+ peer-reviewed articles on topics ranging from Cascadia subduction zone dynamics to global navigation satellite system innovations. His research has implications for civil infrastructure resilience, space weather impacts, and international geohazard collaboration frameworks.

Marcelo Santosمشاهده پروفایل

استاد

• Geodesy
• GNSS and Navigation
• Space Geodesy
• +۳ مورد دیگر

Marcelo Santos is a Professor in the Department of Geodesy and Geomatics Engineering at the University of New Brunswick (UNB), where he has been a faculty member since 2000. He holds a PhD in Geodesy (1995, UNB), M.Sc. in Geophysics (1990, Rio de Janeiro National Observatory), and B.Sc.E. in Cartographic Engineering (1982, Rio de Janeiro State University). His academic career includes roles such as Head of the Department (2012–2017) and international leadership in organizations like the International Association of Geodesy (IAG), where he served as President of Commission 4 (2015–2019) and Senior National Delegate of Canada (2007–2011). Research interests focus on Space and Physical Geodesy, GNSS navigation, and atmospheric delay modeling. His work emphasizes rigorous height systems, geoid determination, and integration of geodetic techniques with numerical weather models. Key contributions include the development of UNB’s atmospheric delay models and the Stokes-Helmert geoid computation methodology. Professional activities include chairing IAG commissions, directing UNB’s Space Geodesy Laboratory (1996–1999), and advising on geodetic infrastructure projects in Brazil and Canada. His publications span over 150 peer-reviewed articles, covering topics like tropospheric modeling, geoid determination, and GNSS applications in environmental monitoring. Led research grants include projects on global topographical density models and climate applications of GNSS-derived tropospheric parameters. Collaborations involve institutions like NASA, ESA, and Brazil’s IBGE. Current projects focus on enhancing geoid models and improving vertical datum systems for precision geomatics applications.

Fei Hanمشاهده پروفایل

استادیار

• Advanced Sensing Technologies
• Artificial Intelligence
• Computational Mechanics
• +۵ مورد دیگر

Fei Han is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of New Hampshire, affiliated with the College of Engineering and Physical Sciences. His research focuses on advanced sensing technologies, artificial intelligence, computational mechanics, decision-making systems, deep learning, optimization, plasticity, and soil mechanics & foundations. He teaches courses including Soil Mechanics, Geo-Environmental Engineering, and Foundation Design. His work integrates machine learning with geotechnical engineering to address challenges in infrastructure resilience, sustainable development, and disaster mitigation. Education : Ph.D., Purdue University M.S.C.E., Purdue University B.S., Huazhong University of Science Key Research Trends : Recent publications emphasize data-driven modeling for infrastructure systems (e.g., transfer learning for monopile foundations, deep reinforcement learning for equitable bridge maintenance), optimization algorithms (multi-objective genetic algorithms), and marine geology advancements. His work bridges computational methods with practical geotechnical challenges, addressing scour management, soil-structure interaction, and sustainable engineering solutions. Grants & Advising : No specific grants or student advisees are listed, though his courses suggest involvement in mentoring senior theses (e.g., CEE 799H). His research collaborations involve institutions like INDOT and international co-authors. Labs & Teams : Active in UNH’s geotechnical and environmental engineering research groups, focusing on sensor fusion, deep learning applications, and sustainable infrastructure systems.

• Environmental Fluid Mechanics
• Sustainability
• Renewable Energy
• +۵ مورد دیگر

Edwin Cowen is a Professor in the Department of Civil and Environmental Engineering at Cornell University's College of Engineering. He serves as Director of the DeFrees Hydraulics Laboratory and previously held the Kathy Dwyer Marble and Curt Marble Faculty Director for Energy position at the Atkinson Center for Sustainability (2013-2018). Cowen joined Cornell in 1997 after earning a B.S. in Civil Engineering from Brown University (1987) and M.S. (1991) and Ph.D. (1997) in Civil Engineering from Stanford University. His research focuses on experimental and observational studies in environmental fluid mechanics, with five core themes: environmental transport processes, water wave dynamics, lake hydrodynamics, energy harvesting, and quantitative imaging techniques. He develops novel experimental methods and facilities to study phenomena like scale-dependent dispersion, wave-structure interactions, sediment suspension, and kinetic energy harvesting. Key application areas include sustainability, renewable energy systems, and water resource management. His recent projects analyze San Francisco Bay Delta surface turbulence for juvenile fish transport, optimize turbine arrays for energy harvesting, explore pre-tensioned wave-like ribbons for mechanical energy capture, and investigate environmental DNA transport in Cayuga Lake. Scientific Awards: James and Mary Tien Excellence in Teaching Award (2013) Graduate and Professional Student Assembly Teaching/Advising Award (2012) Chi Epsilon Professor of the Year (2010) Guggenheim Memorial Foundation Fellow (2004) NSF CAREER Award (2001) As an NSF-sponsored collaborator with Avangrid, Cowen works on residential electric storage systems for grid flexibility and renewable integration. He also contributes to Cornell's sustainability initiatives through the Lake Source Cooling Technical Advisory Committee and Earth Source Heat project steering team.

• Hydraulic Engineering
• Coastal Morphology
• Flood Risk Management
• +۳ مورد دیگر

Prof. Suzanne J.M.H. Hulscher is a Full Professor in Water Systems at the University of Twente, specializing in fluvial and coastal morphodynamics. Her research focuses on flood risk management, sediment dynamics, and climate adaptation. She has contributed to over 845 publications and supervised 55 research projects, including Vera van Bergeijk's PhD work on overtopping flows. Key achievements include the Simon Stevin Meester award (2016) and multiple best paper awards. Her work addresses UN Sustainable Development Goals through studies on saltwater intrusion, dike breach modeling, and nature-based solutions. Research highlights include hydraulic model calibration, estuarine sand wave dynamics, and vegetation effects on hydrodynamics. She actively contributes to editorial roles (CivilEng Journal) and policy advisory bodies (Wetenschappelijke Raad). Her interdisciplinary efforts bridge engineering, ecology, and climate science. Research areas: Coastal morphology, river dynamics, environmental hydraulics Key collaborations: 4TU.Centre for Research Data, IAHR, Netherlands Academy of Engineering Grants: Not explicitly listed, but extensive publications imply significant funding Her lab focuses on combining field data with numerical modeling for real-world applications like flood dashboard development and machine learning-based prediction systems. Current projects explore climate change impacts on engineered estuaries and distributive justice in climate policy.