جست‌وجوی استاد و پژوهشگر

• Civil Engineering
• Materials Science
• Structural Health Monitoring
• +۳ مورد دیگر

Yi Bao is an Associate Professor at Stevens Institute of Technology, affiliated with the Department of Civil, Environmental and Ocean Engineering within the Charles V. Schaefer, Jr. School of Engineering and Science. His research group focuses on developing advanced sensors, materials, and machine intelligence algorithms for intelligent, resilient, and sustainable civil, energy, and environmental systems. Key areas include ultra-high-performance concrete (UHPC), fiber optic sensors, machine learning for infrastructure monitoring, and sustainable material design. Recent work emphasizes AI-driven material optimization, automated structural health monitoring, and environmental impact assessments. His publications span topics such as UHPC crack reduction, microplastic characterization via AI, and high-speed railway safety. He leads studies integrating robotics and computer vision for infrastructure inspection, and his group explores low-carbon concrete solutions and digital twin technologies for bridge decks. Collaborations highlight interdisciplinary approaches to address challenges in smart infrastructure, renewable energy systems, and material sustainability. Notably, his team has developed knowledge graph-guided design frameworks for UHPC and ECC materials, leveraging machine learning to predict properties and discover physicochemical reactions. Current projects include real-time corrosion monitoring of pipelines and fatigue life assessment of orthotropic steel decks using deep learning.

• Structural Engineering
• Biomechanics
• Structural Health Monitoring
• +۳ مورد دیگر

Cecilia Surace is an Associate Professor in the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is a member of the Interdepartmental Centre R3C (Responsible Risk Resilience Centre), the Polito Spin Off Evaluation Commission, and the Patent Commission. Her research focuses on structural dynamics, medical devices, and structural health monitoring, with expertise in biomechanics, nonlinear dynamics, and biomimetic materials. She has been recognized with the Elsevier Journal Exemplary Reviewer award (2013). She teaches courses in structural mechanics, dynamics of structures, and bio/nano construction science at both undergraduate and graduate levels. Her research involves projects like DIMOSS (displacement monitoring using strain sensors) and T-SURE (tissue surgical repair), and she leads teams in developing innovative repair technologies for biological tissues and aerospace structures. She advises three PhD students and holds patents for medical devices such as SurgiFET for tendon repair. Her work spans interdisciplinary applications, including bridge health monitoring, soft tissue repair, and bio-inspired nanomechanics. She contributes to editorial boards and international conferences, demonstrating leadership in her field.

Volker Oyeمشاهده پروفایل

دانشیار

• Seismology
• Geophysics
• Induced Seismicity
• +۴ مورد دیگر

Volker Oye is an Associate Professor in the Department of Meteorology and Oceanography at the University of Oslo . His work spans seismology, geophysics, and applied machine learning, with a focus on seismic hazard assessment, induced seismicity from subsurface fluid injection, and ambient seismic noise analysis. He actively contributes to CO 2 storage safety, geothermal energy monitoring, and urban seismic risk mitigation. Research Interests: Seismology, Geophysics, CO 2 Storage Monitoring, Fault Reactivation, Ambient Noise Analysis, Machine Learning Applications. Recent Publications highlight trends in seismic event relocation, induced seismicity from geothermal and CO 2 projects, urban construction monitoring with low-cost sensors, and planetary acoustic signal detection. His work integrates field observations, laboratory experiments, and advanced signal processing. Scientific Contributions: No explicit awards listed, but his collaborative projects and peer-reviewed articles demonstrate leadership in seismic risk assessment and geophysical technology innovation.

Murad Abu-Farsakhمشاهده پروفایل

استاد مدعو

• Geotechnical Engineering
• Pavement Engineering
• Deep Foundations Analysis
• +۵ مورد دیگر

Murad Abu-Farsakh, Ph.D., P.E., is an Adjunct Professor in the Department of Civil and Environmental Engineering at Louisiana State University (LSU), affiliated with the Louisiana Transportation Research Center (LTRC). His career spans over 25 years in geotechnical and transportation engineering research, with a focus on deep foundations, soil-structure interaction, and geosynthetic applications. He holds a Ph.D. in Geotechnical Engineering from LSU (1997), an M.S. in Structural Engineering from Jordan University of Science and Technology (1988), and a B.S. in Civil Engineering from the University of Jordan (1985). Research interests include: pile setup mechanics, finite element modeling of geotechnical systems, geosynthetic-reinforced pavements and embankments, and LRFD calibration for deep foundations. He has pioneered methods for estimating pile capacity using CPT data and machine learning, while also advancing instrumentation techniques for infrastructure monitoring. His work integrates field testing, numerical modeling, and statistical analysis to address challenges in transportation infrastructure. Notable contributions include development of CPT-based design methods, geosynthetic reinforcement strategies for weak soils, and frameworks for incorporating site variability into geotechnical engineering practice. Key Projects: Geosynthetic-reinforced soil-bridge systems, pile performance under barge impacts, and pavement stabilization using cementitious materials Labs/Teams: Louisiana Transportation Research Center (LTRC) Grants/Contracts: Statewide calibration projects for CPT design methods (2024-2025)

Yi-Chang James Tsaiمشاهده پروفایل

استاد

• Smart Cities Infrastructure
• Transportation Systems Engineering
• Pavement Preservation and Management
• +۵ مورد دیگر

Dr. Yi-Chang James Tsai is a Professor and CISE Group Leader at Georgia Institute of Technology's School of Civil and Environmental Engineering. He specializes in smart cities infrastructure, transportation systems engineering, and pavement preservation using advanced sensing technologies. His work has significantly impacted Georgia’s pavement management systems, including the development of a GIS-based pavement preservation system for GDOT. He holds the prestigious Chinese Chang Jiang Scholar title (2009) and received an innovation award for GIS-enabled ship recognition (2007). His research integrates emerging technologies like 3D laser, LiDAR, and AI to enhance infrastructure resiliency, roadway safety, and asset management. Key projects include predictive safety modeling, autonomous vehicle integration, and sustainability of transportation networks. Dr. Tsai leads the Smart City Infrastructure (SCI) Lab, focusing on infrastructure condition assessment, deterioration analysis, and optimization strategies. Education: Doctorate in Civil Engineering (prior to Georgia Tech faculty role) Grants: Multiple GDOT-funded projects on pavement preservation, HFST implementation, and sensor-based safety systems Dr. Tsai’s work emphasizes data-driven decision-making, cost-effective maintenance, and innovation in transportation infrastructure. His lab has pioneered technologies for automated sign detection, pavement crack analysis, and real-time safety scoring. Key Achievements: Developed GDOT’s pavement preservation system managing 18,000 miles of highways Advanced AI-based crack detection and 3D imaging techniques Leader in roadway safety audits and curve sign optimization The Smart City Infrastructure Lab collaborates with industry partners to address challenges in infrastructure sustainability, resiliency, and smart mobility solutions for aging populations and energy efficiency.

• Robotics
• Control Systems
• Environmental Monitoring
• +۵ مورد دیگر

Shafiqul Islam serves as Assistant Professor of Robotics & Mechatronics and Director of Dual Degree Engineering Programs at Xavier University of Louisiana (XULA). His academic home resides within the College of Engineering, where he leads initiatives bridging undergraduate education with partner engineering institutions. His research spans Robotics, Control Systems, and Environmental Monitoring , with recent work shifting toward climate-related applications in Gulf Coast communities. Key interests include: Machine learning for environmental prediction (greenhouse gases, precipitation, air quality) Advanced control systems for robotics and power grids Community-based air quality monitoring using sensor networks Teleoperation and multi-agent coordination protocols Analysis of his 15 most recent publications (2023-2025) reveals a strategic pivot from pure robotics toward environmental applications , particularly Gulf Coast climate challenges. While earlier work focused on quadrotor control and teleoperation, recent papers emphasize deep learning models for pollution monitoring, aerosol analysis, and community engagement in environmental science. This evolution demonstrates interdisciplinary adaptation to regional ecological concerns. No scientific awards or student advisement records are publicly documented. His engineering leadership role drives XULA's dual-degree initiatives, though specific grant details remain undisclosed in available materials. Islam directs the XULA Surface-Based Measurement Initiative , deploying sensor networks for real-time environmental monitoring across New Orleans communities. This program integrates student researchers and local residents in climate data collection, emphasizing environmental justice in Gulf Coast urban settings.

Mustafa Altunمشاهده پروفایل

استاد

• Nano-crossbar Arrays
• Switching Lattices
• Logic Synthesis
• +۷ مورد دیگر

Mustafa Altun is a Professor at Istanbul Technical University in the Department of Electronics and Communication Engineering. With an h-index of 11 and 78 research outputs, he has established himself as a prominent researcher in electronics engineering and neural network hardware implementations. His research focuses on key areas including: Nano-crossbar Arrays and Switching Lattices Logic Synthesis and Boolean Function Realization Neural Network Hardware Implementation Low-voltage Circuit Design Fault Tolerant Computing Electrodeposition for Li-ion Battery Anodes Dr. Altun's recent work demonstrates a strong emphasis on energy-efficient hardware implementations of artificial neural networks using approximate arithmetic blocks to reduce power consumption while maintaining acceptable accuracy levels. His research on silicon anode electrodeposition has explored how artificial light-induced processes can increase silicon loading for improved battery performance. These dual research directions reflect his commitment to advancing both computing hardware and energy storage technologies. His scientific achievements have been recognized with prestigious awards including the ODTÜ Mustafa N. Parlar Research Incentive Award (2022), EU H2020 Success Award (2015), and the Young Scientist Award (2020). His work has been supported by multiple projects funded by TUBITAK and SRP. Dr. Altun has supervised 16 students according to available data and has led numerous research projects focusing on novel circuit architectures for efficient computing, particularly in neural networks and fault-tolerant systems. His laboratory work continues to push the boundaries of nano-crossbar array computing and its practical applications.

• Machine Learning in Geotechnical Engineering
• Offshore Soil-Structure Interaction
• Offshore Wind Turbine Foundations
• +۳ مورد دیگر

Dr. Stephen Suryasentana is a Senior Lecturer in the Department of Civil and Environmental Engineering within the Faculty of Engineering at the University of Strathclyde. He joined Strathclyde in 2020 as a Chancellor's Fellow (Lecturer) after completing a Junior Research Fellowship at Wolfson College, Oxford. His research focuses on developing innovative offshore geotechnics solutions for the digital age, particularly applying AI-driven modeling tools and sensor-based solutions to improve decision-making in offshore engineering. His educational background includes a Doctor of Philosophy from Oxford University (awarded July 13, 2019) on "Time-critical design methods for suction caisson foundations" and a First Class Honors Bachelor of Engineering in Civil Engineering from the University of Western Australia (awarded December 31, 2012). Dr. Suryasentana's research interests span two primary domains: Machine learning applications : Bayesian Optimization, Physics-informed Machine Learning, and Multi-fidelity data fusion for geotechnical engineering problems Offshore soil-structure interaction : Development of analytical models for offshore foundations, Finite element modeling of soil-structure interaction, and Convex constitutive modeling His recent publications demonstrate a strong trend toward integrating artificial intelligence with traditional geotechnical engineering, particularly for offshore wind turbine foundation design. The research spans from fundamental soil mechanics investigations to practical applications of machine learning for real-time modeling and risk assessment in offshore environments. His notable awards include: Wolfson College Junior Research Fellowship (December 2018) SUT OSIG Conference: Best Poster and Presentation Award (2017) Dr. Suryasentana actively supervises research students and has secured multiple research grants, including as Principal Investigator for projects related to suction caisson installation, offshore wind turbine monopile foundations, and digital twin technology for risk assessment. He maintains the AutoGeoLab (http://www.autogeolab.com) where his research team develops and tests innovative geotechnical solutions.

Rennie Kaundaمشاهده پروفایل

دانشیار

• Rock Mechanics
• Soil Mechanics
• Slope Stability
• +۱۲ مورد دیگر

Rennie Kaunda is an Associate Professor in the Department of Mining Engineering at the Colorado School of Mines (CSM), where he has been a faculty member since 2014. His work integrates rock and soil mechanics with computational modeling to advance sustainable mining practices. He leads the Mining Geotechnics Research Group, which focuses on innovation in ground control, slope stability, and environmental stewardship in mining operations. PhD, Western Michigan University (2007) MS, University of Arizona (2002) BS, University of Arizona (1999) Prof. Kaunda's research centers on rock and soil mechanics , particularly in slope stability , deep underground excavations , and environmental sustainability in mining . He is a pioneer in applying artificial neural networks and computational modeling to solve complex geotechnical problems in mining and civil engineering. His work spans from predicting blast fragmentation to modeling progressive landslides using limited field data. His recent publications reveal a strong trend in integrating machine learning and data-driven methods with traditional geomechanics. Topics include neural network applications in true triaxial stress analysis, landslide displacement modeling, and optimization of rock fragmentation. His research bridges fundamental mechanics with practical industrial applications, particularly in harsh and deep mining environments. WMU Research Grant David Kuenzi Award GSA Research Fellowship Phi Eta Sigma Honor Society Award ZAL Holdings Fellowship Prof. Kaunda is actively involved in mentoring students and leading interdisciplinary research projects through the Mining Geotechnics Research Group. While specific grant details are not listed, his collaborations with the US Army Corps of Engineers and extensive fieldwork across multiple continents suggest robust funding and industry partnerships. His work emphasizes training the next generation of engineers in sustainable and technologically advanced mining practices. He leads the Mining Geotechnics Research Group at CSM, which focuses on developing advanced technologies for sustainable mining. The group engages in multi-disciplinary research involving rock mechanics, hydrogeology, and computational modeling to improve safety, efficiency, and environmental outcomes in mining operations.

• Geotechnical Engineering
• Geomechanics
• Discrete Element Modeling
• +۳ مورد دیگر

Dr. Ningning Zhang serves as Chair of Geotechnical Engineering and leads the Institute of Geomechanics and Underground Technology (GUT) at RWTH Aachen University. Her research bridges computational mechanics and practical geotechnical applications, with a focus on soil-structure interaction and bio-inspired solutions for underground engineering challenges. Her primary research domains include Geotechnical Engineering , Geomechanics , and advanced Discrete Element Modeling (DEM) . She investigates granular material behavior under complex loading conditions, specializing in bio-inspired penetration mechanics, soil creep phenomena, and particle-scale interactions. Current projects explore self-burrowing robotics for granular media, multi-scale particle shape effects on soil stiffness, and deep-learning applications for geotechnical testing. Her work consistently integrates experimental validation with high-fidelity numerical simulations to address fundamental soil mechanics questions. Dr. Zhang's recent publication trajectory reveals a strategic shift toward bio-inspired geotechnics and AI-enhanced modeling. Over 70% of her 2023-2024 publications focus on self-burrowing systems and granular material characterization, demonstrating expertise in translating biological burrowing strategies into engineered solutions. Her research uniquely combines gravitational effects analysis, crushable soil modeling, and multi-cycle penetration dynamics, establishing new methodologies for simulating complex soil behaviors. As an active mentor, she has supervised five Master's theses on topics including discrete element modeling of bio-inspired penetration processes, manufacturing trials of self-burrowing robots, and numerical analysis of trapdoor mechanisms in granular soils. Her academic leadership extends to international collaborations with institutions like Universidad Técnica Federico Santa María and research groups in India, fostering global innovation in geomechanics. The Institute of Geomechanics and Underground Technology operates state-of-the-art laboratories for soil and rock mechanics testing under Dr. Zhang's direction. The facility specializes in custom equipment development for granular material characterization, including bespoke setups for simulating bio-inspired penetration processes and virtual calibration chambers for cone penetration testing. This experimental infrastructure synergizes with their computational research to provide comprehensive solutions for geotechnical challenges.

• Geotechnical Engineering
• Civil Engineering
• Offshore Engineering
• +۳ مورد دیگر

Amin Barari is an Adjunct Professor in the School of Engineering at RMIT University. His research focuses on geotechnical engineering, particularly in offshore wind turbine foundations, soil mechanics, and structural stability. He is affiliated with RMIT’s City Campus in Australia and actively supervises research projects on resilient foundations and dynamic soil-structure interactions. Key research interests include the behavior of pile foundations in problematic soils, suction bucket foundations under cyclic loads, and liquefaction-induced settlement in offshore environments. His recent work integrates machine learning and AI for predictive modeling in geotechnical applications. Barari has published extensively on topics like axial load testing of tapered piles, seismic bearing capacity of offshore structures, and wave-induced liquefaction. His articles often explore numerical simulations, experimental studies, and advanced frameworks for predicting geotechnical risks. He is open to supervising Masters and PhD students in areas such as resilient foundations in calcareous deposits and dynamic behavior of wind turbines. No specific scientific awards are listed, but his contributions to offshore and geotechnical engineering are notable through his publications and collaborations.

• Geomechanics
• Geotechnical Engineering
• Rock Mechanics
• +۷ مورد دیگر

Raul Fuentes is a Professor at the Institute for Geomechanics and Underground Technology (GUT), Faculty of Civil Engineering, RWTH Aachen University, Germany. He is actively involved in research and academic supervision, with recent publications and student advisement confirming his ongoing academic engagement. His work is centered on computational and experimental geomechanics, with applications in natural hazards and sustainable infrastructure. Research Interests: Geomechanics and geotechnical engineering with focus on granular and rock mechanics Landslide dynamics and dam-forming landslide behavior Sustainable geosynthetics using recycled materials Application of deep learning in geotechnical testing and modeling Numerical simulation of geotechnical processes using discrete and continuum methods The recent articles (2024–2025) reflect a strong trend toward computational modeling of geotechnical phenomena, integrating physics-based simulations with AI-driven approaches. Key themes include impact dynamics in rockfalls, gravity effects on granular flows, and sustainable material use in geotechnical applications. His work bridges fundamental mechanics with practical engineering solutions for natural hazard mitigation. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: Currently supervising at least one master’s student: Ahmad Moeineddin, whose thesis focuses on physics-informed neural networks in poromechanics of freezing soils. No explicit mention of grants or funding sources in the text. Labs and Teams: Member of the research team at the Institute for Geomechanics and Underground Technology (GUT), RWTH Aachen University. Collaborates on topics involving computational geomechanics, experimental testing, and AI-assisted modeling within the institute.

Mark Coughlanمشاهده پروفایل

استادیار

• Marine Geology
• Quaternary Geology
• Offshore Renewable Energy
• +۳ مورد دیگر

Dr. Mark Coughlan is an Assistant Professor and Ad Astra Fellow in the School of Earth Sciences at University College Dublin (UCD). He is also a Funded Investigator at the SFI Centre for Research in Applied Geosciences (iCRAG) and a member of the Earth Institute. He holds dual email addresses at UCD and iCRAG. Coughlan holds a BSc in Geology (2009) and PhD in Marine Geology (2014) from University College Cork (UCC), with postgraduate research at MARUM Centre, University of Bremen. After his PhD, he worked in renewable energy with Gaelectric as a Project Manager in their Offshore Wind Section before returning to academia. His research focuses on seabed dynamics, glacial geology, and offshore renewable energy constraints. Key areas include Quaternary history of NW European shelves, seabed geotechnical characterization, and public engagement with marine science. He collaborates with experts in geotechnics, oceanography, and environmental humanities. Coughlan co-founded the MESSAGE interdisciplinary group at UCD and co-manages the UCD Geoscience Itrax Facility. He has secured grants for projects like QUEST (quantifying carbon storage in marine sediments) and ENACT (energy narratives in coastal communities). His teaching includes coordinating modules on Marine Geoscience and Earth Systems. Professional activities include membership in the European Association of Geoscientists and Engineers and the Geological Society of London. Notable achievements include discovering the Moytirra hydrothermal vent field (2013) and developing seabed mobility indices for offshore energy planning (2021). His work bridges geoscience with societal issues, such as climate change mitigation and public perception of marine resources.

• Resilience Optimization
• Geotechnical Asset Management
• Post-Disaster Reconstruction Economics
• +۵ مورد دیگر

Dr. Mohsen Shahandashti is a Professor of Civil Engineering and Associate Dean at the University of Texas at Arlington (UTA). His research focuses on enhancing infrastructure resilience through operations research and data analytics, with over 140 peer-reviewed publications. He leads projects sponsored by NSF, USDOT, and TxDOT, addressing disaster recovery, geotechnical asset management, and sustainable construction. Recognized as a UTA Distinguished Teaching Professor, he developed innovative courses and was awarded the 2020 President's Award for Excellence in Teaching. His academic journey includes degrees from Georgia Tech, CMU, and Nanyang Technological University. He serves on editorial boards for ASCE journals and holds professional engineering licenses in Texas. Research areas include: (1) Resilience Optimization of Infrastructure Networks, (2) Rapid Geotechnical Asset Management, (3) Post-Disaster Economic Recovery, and (4) Emerging Building Systems Modeling. His work integrates advanced data analytics, machine learning, and geospatial tools to solve complex infrastructure challenges. Key awards include the 2019 AASHTO High Value Research Award for slope repair methods and the 2023 Academy of Distinguished Teachers induction. He has secured over $5M in federal/state grants for projects like snowplow operations systems, slope maintenance frameworks, and housing reconstruction demand modeling.

Claes Eskilssonمشاهده پروفایل

دانشیار

• Wave Energy Engineering
• Computational Fluid Dynamics
• Floating Offshore Wind Turbines
• +۷ مورد دیگر

Claes Eskilsson is an Associate Professor in the Department of Construction, Urban and Environmental Engineering at Aalborg University's Faculty of Engineering and Science. He is a key member of the AAU BLUE – Marine & Maritime Research initiative and leads the Research Group for Marine and Coastal Construction. He also holds an external position as Senior Researcher at RISE Research Institutes of Sweden since July 2017. His research focuses on marine renewable energy systems, particularly wave energy converters (WECs) and floating offshore wind turbines . He specializes in computational fluid dynamics (CFD) , numerical modeling , mooring engineering , and hybrid simulation techniques that combine physics-based models with machine learning. His work aims to improve the efficiency, survivability, and scalability of offshore energy platforms through advanced simulation and experimental validation. The recent articles reflect a strong trend toward high-fidelity hydrodynamic modeling, comparative numerical studies, and the integration of machine learning for performance prediction in marine energy systems. His publications span topics from slack-moored platforms to multi-cylindrical breakwaters and spectral element simulations, indicating a broad and deep engagement with offshore renewable technologies. Scientific Projects and Leadership: RESCUER (2024–2028): Principal Investigator – Resilient Solutions for Coastal, Urban, Estuarine and Riverine Environments. CHiS-WeC (2023–2026): Principal Investigator – COmposites, Hybrid testing and SImulations for a disruptive Wave Energy Converter. VALID (2020–2023): Co-Investigator – Verification through Accelerated testing Leading to Improved wave energy Designs. ISLINGTON (2022–2024): Supervisor – Improved Soil-cable Interaction mooring simulations. Competitive Renewable Energy Platforms (2023–2026): Project Participant – Based on Shipbuilding Methods. He has advised PhD students, including Bárður Joensen, and has secured significant research funding, such as a EUR 2 million grant for the Wavepiston wave energy project. He is actively involved in professional events, including the European Wave and Tidal Energy Conference, and has contributed to media coverage on ocean energy innovations. His research is supported by a strong publication record of 95 works, including journal articles, conference papers, and reports. Laboratories and Research Groups: He is affiliated with the Research Group for Marine and Coastal Construction and contributes to the AAU BLUE marine and maritime research environment, which fosters interdisciplinary collaboration on sustainable offshore solutions.