جست‌وجوی استاد و پژوهشگر

Xiong Zhangمشاهده پروفایل

استاد

• Geotechnical Engineering
• Unsaturated Soils
• Frozen Ground Engineering
• +۵ مورد دیگر

Xiong Zhang is a Professor in the Department of Civil, Architectural and Environmental Engineering at Missouri University of Science and Technology (Missouri S&T), with additional affiliation to the Center for Intelligent Infrastructure. His research focuses on advanced geotechnical engineering methodologies addressing unsaturated soils, frozen ground, and infrastructure resilience. His educational background includes: Ph.D. in Civil Engineering from Texas A&M University Dr. Zhang's research spans critical geotechnical domains with emphasis on: Development of advanced laboratory techniques for rapid geomaterials characterization Constitutive modeling of hydro-mechanical behavior in unsaturated soils Numerical simulation of climate-soil-structure interactions Slope stability analysis and soil stabilization methods Frozen ground engineering applications Recent publications (2022-2025) reveal a strong trend toward innovative measurement techniques, particularly photogrammetry and computer vision for soil specimen analysis during triaxial testing. His work consistently addresses unsaturated soil mechanics challenges while expanding into practical infrastructure solutions like wicking geotextiles for pavement systems and permafrost region engineering. His scientific recognition includes: 2016 International Innovation Award in Unsaturated Soil Mechanics from the International Society for Soil Mechanics and Geotechnical Engineering As an active mentor and researcher, Dr. Zhang serves on editorial boards including the Canadian Geotechnical Journal and Geomechanics and Engineering. He holds leadership positions in international committees such as TC106 Unsaturated Soils and the ASCE GI Shallow Foundation Committee, demonstrating significant professional engagement. His work with the Center for Intelligent Infrastructure supports advanced infrastructure development through cutting-edge geotechnical research.

• Structural Health Monitoring
• Machine Learning in Civil Engineering
• Earthquake Engineering
• +۹ مورد دیگر

Marco Martino Rosso is a Research Fellow at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin, where he also serves as an external lecturer and teaching assistant in both DISEG and the Department of Mathematical Sciences (DISMA). He is affiliated with the Doctoral School (SCDOTT) and completed his PhD under the supervision of Professor Giuseppe Carlo Marano. His academic work bridges civil engineering with advanced computational methods, focusing on structural health monitoring, optimization, and machine learning applications. His research interests center on Structural Health Monitoring , Machine Learning in Civil Engineering , Earthquake Engineering , Structural Optimization , Operational Modal Analysis , and AI-driven diagnostics for infrastructure. He applies deep learning, neural networks, and hybrid modeling techniques to problems such as damage detection, post-earthquake assessment, tunnel and bridge monitoring, and dynamic analysis of timber and concrete structures. His recent publications, spanning from 2023 to 2025, demonstrate a strong trend toward integrating artificial intelligence with structural engineering, particularly in automating modal analysis, optimizing structural forms, and enhancing seismic resilience. These works appear in journals like Mechanical Systems and Signal Processing , Computers & Structures , and Bulletin of Earthquake Engineering , as well as in proceedings of international conferences such as IOMAC and EWSHM. Marco Rosso has not received any explicitly mentioned scientific awards in the provided text. However, his extensive publication record and active role in research projects indicate strong recognition in his field. He has contributed to teaching as a course collaborator in subjects including Dynamic Identification of Structures , Statistics , Construction Techniques , and Safety Assessment and Retrofitting of Structures . He has also been involved in the ARTISTE 2025 Summer School, indicating engagement in advanced training programs. While no formal lab or team name is specified, his frequent collaborations with researchers such as Angelo Aloisio, Giuseppe Carlo Marano, and Jonathan Melchiorre suggest he is part of a vibrant research group focused on intelligent structural systems and data-driven engineering at Politecnico di Torino.

Jim Tørresenمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Biology-Inspired Computing
• +۶ مورد دیگر

Jim Tørresen is a Professor of Computer Science at the Department of Informatics, University of Oslo, where he has been employed since 1999 (Associate Professor 1999-2005, Professor since 2006). He serves as group leader for the Robotics and Intelligent Systems (ROBIN) research group and is also a Principal Investigator at the Centre for Interdisciplinary Studies in Rhythm, Time and Motion (RITMO). His academic career includes visiting positions at Cornell University's Creative Machines Lab (2010-2011) and Kyoto University in Japan (1993-1994). His educational background includes a Dr.ing. (Ph.D.) in Computer Architecture from the Norwegian University of Science and Technology (1996) and an M.Sc. in Computer Architecture from the same institution (1991). Before his academic career, he worked in industry at Navia Aviation (1998-1999) and NERA Telecommunications (1996-1998). Tørresen's research spans artificial intelligence, robotics, and bio-inspired computing. His work focuses on biology-inspired algorithms, programmable logic (FPGA), robotics (simulation, prototyping, control), and human-robot interaction. He has made significant contributions to areas including evolutionary computing, reconfigurable hardware, and adaptive systems. His research often bridges theoretical computer science with practical applications in healthcare, music, and industrial settings. His recent publications demonstrate a strong focus on human-robot interaction, particularly in healthcare contexts for elderly care, as well as applications in sports science, musical robotics, and geological engineering. His work shows a consistent pattern of interdisciplinary research that combines machine learning techniques with domain-specific challenges. Tørresen has also authored a popular science book on artificial intelligence in the "what is" series by Universitetsforlaget, which discusses fundamental concepts, methods, future perspectives, and ethical aspects of AI. He has been active in academic leadership, serving as General Chair for the 22nd International Conference on Field Programmable Logic and Applications (FPL) in 2012 and the 9th Joint IEEE International Conference of Developmental Learning and Epigenetic Robotics in 2019. As group leader of ROBIN, he oversees research on intelligent systems that operate in dynamic environments requiring runtime adaptation. The group works at both fundamental and applied levels, using evolutionary algorithms for robot learning and machine learning techniques for classification and recognition tasks in various application domains.

Mads Røge Eldrupمشاهده پروفایل

استادیار

• Coastal Engineering
• Fluid Dynamics
• Numerical Modeling
• +۴ مورد دیگر

Mads Røge Eldrup is an Assistant Professor at the Department of the Built Environment, Aalborg University, within the Faculty of Engineering and Science. His research focuses on coastal engineering, wave dynamics, and structural resilience of marine infrastructure. He leads the Ocean and Coastal Engineering Research Group and contributes to the BLUE – Marine & Maritime Research initiative. Research interests include breakwater stability, nonlinear wave modeling, physical model testing, and numerical simulation techniques. Key projects involve the RESCUER initiative (2024-2028) addressing resilient coastal solutions. He has authored/co-authored 46 publications since 2014, with recent work on NL-SORS wave decomposition, submerged bar dynamics, and rock armour stability. He actively participates in international conferences and workshops, including sessions on Smoothed Particle Hydrodynamics and nonlinear wavemaker theory. Collaborations span institutions globally, focusing on coastal resilience and hydraulic engineering challenges.

Caglar Oskayمشاهده پروفایل

استاد

• Multiscale Computational Modeling
• Composite Materials
• Structural Failure Analysis
• +۷ مورد دیگر

Caglar Oskay is the Cornelius Vanderbilt Professor of Engineering and Chair of the Department of Civil and Environmental Engineering at Vanderbilt University. He is also a Professor of Mechanical Engineering. His research focuses on multiscale computational modeling of material and structural systems under extreme conditions, with expertise in composite materials, failure mechanisms, and computational mechanics. Dr. Oskay earned his Ph.D. in Civil Engineering from Rensselaer Polytechnic Institute (2003) and has held academic roles there before joining Vanderbilt in 2006. He was honored as an ASME Fellow in 2017 and as a Chancellor Faculty Fellow in 2016. Key research areas include multiscale failure modeling, life prediction of heterogeneous materials, and computational methods for composites and multiphysics systems. His work integrates advanced simulation techniques with experimental validation, addressing challenges in infrastructure resilience, additive manufacturing defects, and quantum computing applications in engineering. Education: Ph.D., Civil Engineering, Rensselaer Polytechnic Institute (2003) M.S., Civil Engineering, Rensselaer Polytechnic Institute M.S., Applied Mathematics, Rensselaer Polytechnic Institute B.S., Civil Engineering, Middle East Technical University Recent research highlights include stochastic modeling of geotechnical infrastructure failures, quantum-enhanced finite element methods, and predictive analytics for additive manufacturing defects. He leads interdisciplinary efforts on backward erosion piping in flood protection systems and has secured grants for multiscale modeling of titanium alloys and composites. Awards: ASME Fellow (2017) Chancellor Faculty Fellow (2016) Advising and grants: Dr. Oskay’s grants include NSF-funded studies on backward erosion piping and quantum computing applications. His research group collaborates with industry partners on materials for aerospace and energy sectors, emphasizing computational tools for failure prediction and material design. His work bridges computational mechanics with practical engineering challenges, advancing methods for infrastructure resilience, advanced materials, and sustainable design through multiscale modeling innovations.

Lisa Starمشاهده پروفایل

استاد

• Geotechnical Engineering
• Earthquake Engineering
• Soil-Structure Interaction
• +۲ مورد دیگر

Dr. Lisa Star is Professor in the Civil Engineering and Construction Engineering Management Department at California State University, Long Beach. She holds BS, MS, and PhD degrees in Civil/Geotechnical Engineering from UCLA. Research specializes in soil-structure interaction effects during seismic events, employing large-scale field testing and advanced instrumentation. Key research areas include: Dynamic soil-foundation response characterization Geotechnical sensor implementation for infrastructure projects Tunneling-induced ground movement prediction Applied projects involve Los Angeles Metro tunneling operations, where she evaluates excavation impacts and ground behavior in complex soil conditions.

Denis DUHAMELمشاهده پروفایل

استاد

• Mechanical Engineering
• Civil Engineering
• Structural Acoustics
• +۴ مورد دیگر

Denis Duhamel is a Professor and researcher at the Navier Laboratory, affiliated with École des Ponts ParisTech. He teaches mechanics courses at École nationale des ponts et chaussées and previously lectured at École Polytechnique. He earned his doctorate from École des Ponts ParisTech (1994) and research accreditation from University of Marne la Vallée (1998). His research focuses on structural acoustics, railway dynamics, tire-road noise, and numerical modeling of vibrations using Wave Finite Element (WFE) methods. Key areas include railway track dynamics, vibration control, and acoustic barrier performance. Notable projects involve dynamic analysis of periodic structures like railway tracks and metamaterials. Recent publications (2020–2025) emphasize wave-based methods for periodic structures, nonlinear foundation modeling, and in-situ measurements of acoustic barriers. His work bridges theoretical models with practical applications in transportation and structural engineering. Lab affiliations include the Navier Laboratory, a leading center for mechanics and materials research. He collaborates on projects like DEUFRABASE for pavement noise evaluation and ODSurf for optimized road surface design.

Daohong Qiuمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Underground Engineering
• Structural Health Monitoring
• +۲ مورد دیگر

Daohong Qiu is an Associate Professor and Master Tutor at the Geotechnical and Structural Engineering Center, School of Civil Engineering, Shandong University. His research focuses on advanced geological prediction in tunnels, surrounding rock stability, structural health monitoring for urban rail transit, and TBM tunneling performance optimization. Position: Associate Professor Affiliation: School of Civil Engineering, Shandong University Email: qiudh@sdu.edu.cn Research Interests: He specializes in geotechnical engineering challenges related to underground construction, including rock burst prediction , disaster control , and machine learning applications in geological modeling. His work emphasizes integrating advanced computational methods like quantum genetic algorithms and RBF neural networks with field data to improve tunnel safety and efficiency. Publication Trends: His recent 2019 studies address subsea tunnel risk assessment , rock burst prediction in underground caverns, and machine learning-driven surrounding rock classification . Earlier works (2014-2015) explore SVM/GA-SVM for geological disaster forecasting, while pre-2010 papers focus on optimization theory and stress field analysis. Patent Contributions: He holds multiple invention patents for geological prediction devices, including three-dimensional geological network modeling , seismic signal detection , and concrete elevation control systems .

Marcia Schulmeisterمشاهده پروفایل

استاد آموزشی

• Hydrogeology
• Geochemistry
• Environmental Geology
• +۴ مورد دیگر

Dr. Marcia Schulmeister serves as Director and Teaching Professor in the Environmental Geology Programs at the University of Kansas Edwards Campus, with a dual appointment in the Department of Geology. With over 30 years of experience, she specializes in applied hydrogeology and geochemistry, focusing on contaminated site remediation and groundwater management. Her professional work spans government agencies in the U.S., China, Thailand, and Germany, addressing soil and groundwater contamination challenges. Dr. Schulmeister holds prestigious titles including Fellow of the Geological Society of America and Fulbright Scholar. She contributes to academic leadership as associate editor for professional journals and serves on multiple boards. Her research explores innovative methods like electrical resistivity tomography and direct-push geochemical profiling, with recent emphasis on virtual geology education and international environmental projects in Thailand and Vietnam. Key Expertise: Hydrogeology field methods, contaminant transport modeling, karst terrain studies International Experience: Collaborations in China, Thailand, Germany, and Vietnam Teaching Innovation: Pioneering online geoscience education for non-traditional students Her work integrates field-based learning through the Robert P. Harrison Field Station and virtual museum tours. Current research trends emphasize climate change impacts on groundwater systems and geohazard mitigation for infrastructure protection.

• Construction Materials Science
• Geopolymer and Alkali-Activated Binders
• Radioactive Waste Solidification
• +۷ مورد دیگر

Dr. Katalin KOPECSKÓ is Associate Professor in the Department of Engineering Geology and Geotechnics , Faculty of Civil Engineering, Budapest University of Technology and Economics (BME) . She lectures on construction-materials chemistry, durability and advanced concrete technologies, and maintains an active research portfolio spanning radioactive-waste solidification, geopolymer binders, supplementary cementitious materials and fibre-reinforced cementitious composites. Education & Academic Career Long-standing faculty member at BME Faculty of Civil Engineering (exact degrees not specified in text). Regular instructor for master-level courses: Alkali Activated Materials in Civil Engineering , Chemistry of Construction Materials , Durability of Construction Materials , Structure–Property Relations of Concrete . Holds weekly consultation hours on Thursdays 12–14 in building K, basement level, room 10/5. Research Focus Her research integrates materials science , geotechnical engineering and nuclear-waste management . Recent investigations include: Development of alkali-activated recipes for borate-rich liquid radioactive waste using limestone-portland blends. Application of semi-adiabatic calorimetry to identify optimal cement types for radioactive waste cementation. Enhancement of 3D-printing performance of concrete via metakaolin and silica fume. Long-term geotechnical and hydraulic impacts of municipal solid-waste leachate on soils. Durability of natural-fibre and nanocellulose-reinforced geopolymer mortars. Corrosion behaviour of vitrified high-level waste glass under simulated repository conditions. Across 2022-2025 she has published more than 40 peer-reviewed articles, reflecting a clear shift toward sustainable construction materials , nuclear environmental safety and advanced testing methodologies . Laboratory & Collaborative Environment Dr. KOPECSKÓ operates within BME’s well-equipped Engineering Geology and Geotechnics laboratories, where calorimetry facilities, geopolymer synthesis rigs and microstructural analysis tools support her projects. Close collaboration exists with the Vásárhelyi Pál Doctoral School and the national nuclear-waste management programme at Paks NPP, evidenced by joint publications on cemented-waste testing laboratories. Grants & Awards While specific grant numbers are not listed, her sustained output in high-impact journals and participation in national projects (e.g., NVKP_16-1-2016-0019 “Increasing the Chemical Resistance of Concrete”) indicate continuous external funding. Contact Office: Building K, basement, room 10/5, Budapest University of Technology and Economics. E-mail: kopecsko.katalin@emk.bme.hu Phone: +36 1 463 2238

• Structural Health Monitoring
• Structural Control
• Stochastic Fatigue
• +۴ مورد دیگر

B. F. Spencer Jr. is the Nathan M. and Anne M. Newmark Endowed Chair in Civil Engineering at the University of Illinois at Urbana-Champaign, where he directs the Multi-Axial Full-Scale Sub-Structured Testing & Simulation Facility and the Smart Structures Technology Laboratory. He joined the university in 2002 after serving as Leo E. and Patti Ruth Linbeck Professor of Engineering at the University of Notre Dame (1985-2002). Education includes: Ph.D. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1985) M.S. in Theoretical and Applied Mechanics, University of Illinois at Urbana-Champaign (1983) B.S. in Mechanical Engineering, University of Missouri-Rolla (1981) His research focuses on pioneering innovations in structural health monitoring, stochastic mechanics, and smart sensor technologies. Key areas include development of wireless sensor networks for real-time infrastructure assessment, seismic hazard mitigation strategies, and AI-driven damage detection systems. His work bridges theoretical computational mechanics with practical civil engineering applications to enhance resilience against natural disasters. Recent publications emphasize digital twins, UAV-based structural inspection, machine learning for damage identification, and advanced sensor networks. Trends show strong integration of AI, 3D visualization, and edge computing for rapid post-disaster evaluation and predictive maintenance of critical infrastructure. Major scientific honors: ASCE Housner Medal (2015) J.M. Ko Medal (2014) Foreign Member of Polish Academy of Sciences (2005) Structural Health Monitoring Person of the Year (2011) JSPS Fellowships (1999, 2000) He leads significant infrastructure projects including NSF-funded facilities and industry collaborations. Laboratory initiatives involve full-scale testing of bridges, gates, and seismic mitigation systems. Educational outreach includes K-12 STEM programs like 'Shakes and Quakes' to inspire future engineers.

John E. Ebelمشاهده پروفایل

استاد

• Earthquake Seismology
• Exploration Seismology
• Theoretical Seismology
• +۳ مورد دیگر

John E. Ebel is a Professor and Senior Research Scientist at Boston College's Department of Earth and Environmental Sciences, affiliated with Weston Observatory. He holds a Ph.D. from California Institute of Technology and an A.B. from Harvard University. His research focuses on earthquake seismology, including hazard assessment, source mechanisms, and forecasting, particularly in New England and eastern North America. He leads the New England Seismic Network since 1981, monitoring regional seismic activity. His work spans theoretical seismology, exploration seismology, and induced seismicity from industrial activities. Over 80 peer-reviewed papers and one book published Recipient of ORCID 0000-0003-1064-0629 Advisor to multiple graduate students focusing on earthquake mechanics and seismic analysis Research emphasizes lithospheric structure determination, aftershock analysis for historical earthquakes, and interdisciplinary paleoseismic studies. Recent work includes lake sediment records of historical quakes and seismic network optimization in the eastern U.S. His students investigate topics like earthquake depth computations and induced seismicity from quarry operations.

Andreas Stollwitzerمشاهده پروفایل

پژوهشگر

• Railway Engineering
• Structural Dynamics
• Civil Engineering
• +۳ مورد دیگر

Andreas Stollwitzer is a researcher affiliated with the Research Area Steel Construction at TU Wien. His academic titles include Univ.Ass. (University Assistant), Dipl.-Ing. (Diplom-Ingenieur), and Dr.techn. (Doctor of Technical Sciences). His research focuses on railway bridge dynamics, track-bridge interaction, and structural health monitoring. Key areas of investigation include the behavior of ballasted tracks on railway bridges, dynamic characteristics of bridge-track systems, and vibration analysis in high-speed rail infrastructure. His work emphasizes experimental and numerical methods to study phenomena such as longitudinal/lateral track-bridge interaction, dynamic stiffness and damping measurement, and destabilization of ballast beds under vertical vibrations. He has contributed to projects like DYS-GROS, analyzing the dynamic interaction between track components and bridge structures through both simulations and in-situ testing. Recent publications (2021–2023) highlight advancements in damping factor calculations, comparison of vehicle-bridge interaction approaches, and the application of indirect structural health monitoring techniques using vehicle-based sensors. His findings aim to improve bridge safety, reduce computational uncertainties in dynamic analyses, and optimize railway infrastructure design under high-speed conditions. He collaborates with institutions and researchers in Austria and internationally, focusing on railway engineering challenges. While no formal awards are listed, his extensive publication record reflects significant contributions to civil engineering dynamics and infrastructure systems.

Jonas Kloecknerمشاهده پروفایل

پژوهشگر

• Geostatistics
• Petroleum Engineering
• Mining Engineering
• +۷ مورد دیگر

Jonas Kloeckner is a PhD Candidate at the Federal University of Rio Grande do Sul (UFRGS) in the Mineral & Environmental Technology and Extractive Metallurgy Program, focusing on Geostatistics, and concurrently serves as a Visiting Research Scholar at Stanford University under Professor Jef Caers. His academic journey includes a MSc in Engineering and Mining Engineering from UFRGS, a Bac +5 degree from Ecole des Mines d'Alès (France), and a Visiting Student stint at Columbia University (USA). His research interests span geostatistical modeling of carbonate facies, Bayesian approaches for uncertainty quantification, and applications of machine learning in geological and medical domains. Key technical areas include Markov Chain Random Fields, seismic data integration, and spatial continuity analysis, with a focus on improving sustainability in mining operations and reservoir characterization. Notable contributions include advancements in covariance table methodologies for automated spatial analysis and risk assessment frameworks for bauxite mining. His work bridges geological data interpretation, stochastic simulation techniques, and computational tools for resource optimization. Currently affiliated with Stanford's energy geoscience initiatives, his research emphasizes interdisciplinary applications of geostatistical models.

• Structural Engineering
• Earthquake Engineering
• Structural Dynamics
• +۸ مورد دیگر

Rosario Ceravolo is a Full Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin , where he conducts cutting-edge research in structural dynamics, earthquake engineering, and structural health monitoring with a focus on architectural heritage. He is a member of the Interdepartmental Center R3C (Responsible Risk Resilience Center) and the University Quality Assurance Committee, reflecting his leadership in academic and research governance. His research interests include: Dynamic identification of structures Seismic assessment and protection of cultural heritage Structural health monitoring (SHM) Natech (natural-technological) risk Earthquake engineering and structural control His recent publications demonstrate a strong trend toward integrating advanced computational techniques, satellite data, and experimental monitoring for assessing historical and modern structures. Key themes include modal tracking, digital twinning, ferrocement durability, and data fusion for heritage conservation. His work bridges civil engineering and heritage science, often involving interdisciplinary collaborations. Scientific Awards and Recognitions: Keeping it Modern Implementation Grant, Getty Foundation (2019) Fellow, ICOMOS (2024–) Fellow, ISCARSAH (2014–) Fellow, American Society of Civil Engineers (1999–) Evaluator, Rita Levi Montalcini Program (2018) Advising and Grants: He supervises multiple PhD students in architectural and civil engineering programs and leads several major research initiatives, including EU-funded and national projects such as REcube (Erasmus+), OPTIMISE, SAT4SHM, and CAMELOT. He serves as Scientific Director for numerous research contracts with public and private institutions, including long-term monitoring projects at the Vicoforte Sanctuary and Torino Esposizioni. Research Labs and Teams: He leads activities in the Dynamics and Seismic Laboratory (DISEG) and is involved in research networks such as ICOMOS-ISCARSAH and IASS-WG17, fostering international collaboration in structural analysis and heritage conservation.