جست‌وجوی استاد و پژوهشگر

• Offshore Foundation Systems
• Finite Element Analysis
• Soil-Structure Interaction
• +۳ مورد دیگر

Youngho Kim is an Adjunct Senior Lecturer and Adjunct Senior Research Fellow at the School of Earth and Oceans , University of Western Australia (UWA). He is affiliated with the Centre for Offshore Foundation Systems (COFS) and the Oceans Graduate School. His research focuses on offshore foundation systems, soil-structure interactions, and advanced finite element modeling. Kim has collaborated extensively with Korean engineering companies and institutions, contributing to sustainable development goals (SDGs) in offshore engineering. Education: Doctor of Engineering, Yonsei University (2010) Postdoctoral Researcher, Construction Engineering Research Institute (CERI), Korea (2010–2011) Research Interests: Kim specializes in dynamically installed anchors, suction caissons, and geotechnical modeling. His work emphasizes large deformation analysis, soil-structure interactions, and offshore foundation design. His research bridges academic and industrial needs, addressing challenges in marine construction and environmental sustainability. Articles Trends: Recent publications highlight advancements in anchor design, finite element algorithms, and dynamic installation techniques. Key areas include suction caisson performance in calcareous soils, interface friction modeling, and distributed acoustic sensing for infrastructure monitoring. Awards: Baden Clegg Award (2016) NRF Post-Doctoral Fellowship (2011) KSCE Award for Excellent PhD Thesis (2010) Honor for Excellent Dissertation in Applied Natural Science (2010) Advising & Grants: Kim has supervised 4 students and led grants from ARC and industry partners, focusing on offshore foundation optimization and environmental solutions for marine plastic pollution. Collaborations include projects with Norwegian Geotechnical Institute and Korean firms like GS Engineering & Construction. Labs & Teams: Central to COFS and UWA’s Oceans Institute, Kim collaborates with global teams on offshore geotechnics and sustainable infrastructure.

• Geotechnical Engineering
• Pavement Engineering
• Unsaturated Soil Mechanics
• +۴ مورد دیگر

Associate Professor Chaminda Gallage is a geotechnical and pavement engineering expert at Queensland University of Technology (QUT), Faculty of Engineering, School of Civil & Environmental Engineering. With over 15 years of academic experience since 2009, he has established strong research collaborations with University of Tokyo, University of Hokkaido, Monash University, and University of Queensland. Dr Gallage's primary research interests focus on geotechnical engineering, pavement engineering, unsaturated soil mechanics, and geosynthetics applications. His work spans testing and modeling of pavement materials, climate-induced ground deformation effects on infrastructure, slope stability analysis with unsaturated soil properties, behavior of unsaturated/saturated soils, design of custom laboratory testing apparatus, and geogrid/geosynthetic applications in geotechnical engineering. His recent publications demonstrate a strong trend toward integrating machine learning for pavement moisture prediction, enhancing understanding of geosynthetic reinforcement systems, and addressing environmental concerns in infrastructure development. Dr Gallage has received notable recognition including an award for distinguished presentation at the 7th International Summer Symposium of Japan Society of Civil Engineers (2005), Japanese Government Scholarship (2003-2006), and Asian Development Bank Scholarship (2000-2002). His research is strongly supported by industry partners including TMR, BCC, Geofabrics Australasia, Global Synthetics, and various geotechnical consultancies in Brisbane. With extensive supervisory experience, Dr Gallage has guided 8 HDR students to completion across diverse research areas including geotextile applications, rail track foundations, segmental tunnel analysis, recycled concrete aggregates, and rainfall-induced slope instability. His research program has attracted approximately $0.3 million in industry and commercial funding through projects such as Baroon Pocket Dam landslide assessments, investigation of polymeric soil stabilizers, and characterization of materials at coal mine spoil piles. Dr Gallage maintains active involvement in professional communities as a Member of the Australian Geotechnical Engineering Society, Member of the International Geosynthetic Society, and Life Member of GEOMATE. He also serves as a reviewer for the Canadian Geotechnical Society and holds certification as a Monash Research Supervisor (Level 1).

Elman Hazarمشاهده پروفایل

استاد

• Applied Mathematics
• Ordinary Differential Equations
• Integral Equations
• +۴ مورد دیگر

Elman Hazar is a Professor in the Department of Mathematics at Igdir University's Faculty of Arts and Sciences. His research spans applied mathematics , differential equations , and soil thermodynamics , with recent work integrating machine learning and mathematical modeling of sentiment dynamics in literature. He has published extensively on fixed point theorems , integral equations , and stability analysis of physical systems. Education: Doctorate in Mathematics, Baku State University (1982-1986) Master’s Degree in Mathematics, Baku State University (1978-1983) Licence in Mathematics, Baku State University (1971-1976) Research Trends: Recent publications focus on soil thermophysical properties (2025), vector optimization in topological spaces (2024), and fixed point theorems (2024). His 2023 work includes variational inequality analysis and sentiment modeling of literary texts using GPT-4 and differential equations. Earlier studies (2016-2017) addressed Volterra-Stieltjes equations and Riccati's equation solutions . Administrative Roles: Department Head, Igdir University (2017) Chair of Department, Sakarya University (2011-2014)

• Data Science
• Machine Learning
• Machine Vision
• +۸ مورد دیگر

Roger G Nyberg is a Senior Lecturer at Dalarna University's School of Information and Engineering, Department of Information Science. He holds a PhD from Edinburgh Napier University (2016) and teaches courses in artificial intelligence, data science, software engineering, and project management. As head of the Informatics main field of studies, he oversees programs in Systems Science, Graphic Design and Web Development, and Digital Services. His research focuses on Data Science, Machine Learning, Machine Vision, and Monitoring, with applications in transportation, healthcare, and e-commerce. Key areas include automating decision-making processes, analyzing road conditions using acoustic and visual data, and studying hygrothermal transfer in building materials. Recent publications highlight work on gravel road condition evaluation using multimodal deep learning, CO2 emissions in parking systems, and exercise interventions for musculoskeletal pain. Nyberg supervises undergraduate and advanced theses and actively contributes to academic boards and committees at Dalarna University.

• Railway Engineering
• Structural Engineering
• Transportation Systems
• +۳ مورد دیگر

Albert Lau is an Associate Professor at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), within the Faculty of Engineering. His research focuses on railway engineering, structural dynamics, and transportation systems. He coordinates the Master’s program in Road, Railway, and Transportation Engineering and leads the MeTinT (Measurement with Train in Regular Traffic) and FutuRe (Innovative Rail Services) research groups. Education: PhD in Civil Engineering from NTNU (2018), MSc Structural Engineering from University of Leeds (2013), BEng in Civil and Structural Engineering from University of Leeds (2010). Research interests include railway track design, train-track dynamic modeling, infrastructure monitoring, and sustainable transportation systems. Recent work emphasizes digital twin applications, machine learning for infrastructure analysis, and PS-InSAR techniques for ground displacement monitoring. His publications span over 30 peer-reviewed articles, covering topics like automated train operations, remote driving systems, and railway catenary condition monitoring. Teaching includes courses such as TBA4225 Railway Engineering, BA6054 Fundamental Railway Maintenance, and supervising over 20 master/PhD students. He has coordinated Norway-China collaboration projects and led village learning programs in railway engineering education.

• Construction Materials
• Composite Materials
• Infrastructure Engineering and Asset Management
• +۶ مورد دیگر

Weena Lokuge is an Associate Professor in Civil Engineering at the University of Southern Queensland , affiliated with the School of Engineering and the Centre for Future Materials . Her research focuses on construction materials, composite materials, infrastructure rehabilitation, and floodway design. She has published over 100 peer-reviewed papers, achieving an H-index of 22, and secured competitive grants including the ARC-Industrial Transformation Research Hub and Bush Fire and Natural Hazards CRC. Education: PhD (Monash University), MEng (Asian IT), PGCert in Tertiary Teaching & Learning (USQ). Professional memberships include Engineers Australia , Concrete Institute of Australia , and Australasian Association for Engineering Education . Research expertise includes Constitutive behavior of construction materials Reclaimed resources in construction Resilience of road structures Teaching: CIV1501 Engineering Statics and CIV6802 Advanced Prestressed Concrete . Supervision: 9 HDR completions and currently mentoring 8 students (4 as primary supervisor). Completed over 40 honors and 15 MEngS projects. Grants and collaborations: Industry partnerships and international university collaborations highlight her leadership in infrastructure resilience and sustainable materials research. Labs/Teams: Active in the Centre for Future Materials , focusing on innovative materials and structural solutions.

• Business Informatics
• Data Science
• Process Mining
• +۳ مورد دیگر

Marco Huymajer serves as a PreDoc Researcher within the Business Informatics department (E194-03) at the Faculty of Informatics, Vienna University of Technology. He teaches core courses including Information Systems (192.170) and Programming and Algorithms (192.178) for the 2025W semester, operating from Room FB0102 at Erzherzog-Johann-Platz 1. His institutional role centers on bridging informatics and civil engineering through digital solutions for tunnel construction. His research focuses on Business Informatics applications in heavy construction, particularly Building Information Modeling (BIM), process mining, and data analytics for tunneling projects. He investigates algorithmic approaches for residual value prediction of heavy equipment, digital documentation systems, and interdisciplinary BIM integration during tunnel execution phases. This work addresses critical industry pain points in construction process optimization and data-driven decision-making. Analysis of his publication trends reveals a concentrated research trajectory since 2018, with accelerating output from 2022-2025 centered on practical BIM implementations in conventional tunneling. His work consistently targets the integration of data science with civil engineering workflows, demonstrating expertise in translating academic research into construction industry applications through the 'BIM im Tunnelbau' project framework. Funded by the 'BIM im Tunnelbau' research initiative (2020-2023), Huymajer operates without student supervision responsibilities as a PreDoc researcher. His collaborative network includes civil engineering specialists like Galler and Huemer, alongside data science experts including Filzmoser and Mazak, forming a cross-disciplinary team focused on digital transformation in tunnel construction. He actively contributes to the 'BIM im Tunnelbau' project team, which develops integrated information management systems for tunneling processes. This interdisciplinary group combines expertise from informatics, geotechnical engineering, and construction management to create practical digital solutions for the execution phase of NATM tunneling projects, with direct industry implementation pathways.

• Earthquake Engineering
• Structural Mechanics
• Reinforced Concrete Structures
• +۱ مورد دیگر

Prof. Dr. Kadir Guler is a Professor in the Department of Civil Engineering at Istanbul Technical University (ITU), specializing in Earthquake Engineering, Structural Mechanics, and Reinforced Concrete Structures. He has held roles such as Head of the Civil Engineering Department (2014–2020) and has extensive experience in academic leadership and research. His educational background includes a PhD in Structural Engineering from ITU (1990–1992), a Master’s in Structure from Yildiz University (1981), and a Bachelor’s in Civil Engineering from Istanbul State Engineering and Architecture Academy (1976). Research interests focus on seismic performance assessment, structural behavior under extreme loads, and innovative retrofitting techniques for buildings. Key areas include earthquake-resistant design, structural dynamics of high-rise buildings, and the application of machine learning in civil engineering. His work addresses challenges such as tunnel excavation effects on structures, blast-resistant modular systems, and post-earthquake vulnerability analysis of rural masonry buildings. Recent publications emphasize data-driven modeling for confined masonry, seismic performance indicators for residential buildings, and design standards compliance. He has collaborated on projects like the Istanbul Airport Viaduct’s seismic assessment and studies on historical building preservation using FEM. Prof. Guler is a member of EERI, the Turkish Earthquake Foundation, and the Chamber of Civil Engineers. His contributions span over 100 peer-reviewed articles, focusing on advancing structural resilience through theoretical and experimental research. Current research includes machine learning applications for load capacity prediction and strengthening methods for post-disaster recovery.

• Fluid Mechanics
• Coastal Sciences and Engineering
• Hydrology
• +۳ مورد دیگر

Assoc. Prof. Dr. Tarkan Erdik is an Associate Professor at the Civil Engineering Department of Istanbul Technical University (ITU), specializing in Fluid Mechanics and Coastal Sciences & Engineering. He holds a PhD in Coastal Sciences Engineering from ITU and has conducted postdoctoral research at TU Delft. His work focuses on hydrodynamic modeling of straits (e.g., Dardanelles, Bosphorus), marine energy potential assessment, oil spill dynamics, and AI-driven environmental predictions. Erdik has extensive experience in numerical modeling of coastal systems and infrastructure impact studies, such as the Canal Istanbul project's effects on marine circulation. Education: PhD in Coastal Sciences Engineering (ITU, 2005–2009); MSc in Hydroelectronics (ITU, 2001–2004) Research Interests: Fluid dynamics in confined waterways, coastal protection structures, renewable marine energy, and stochastic environmental modeling. Recent studies include analyzing marine heatwave characteristics in interconnected seas, predicting streamflow patterns using advanced techniques, and evaluating floating structures' impact on estuary circulation. Erdik collaborates on projects addressing Istanbul's environmental challenges, including Golden Horn remediation and Marmara Sea salinity dynamics.

Chun Qing Liمشاهده پروفایل

استاد

• Time-Dependent Reliability Theory
• Infrastructure Corrosion
• Mixed-Mode Fracture Failure
• +۳ مورد دیگر

Professor Chun Qing Li is a Professor of Civil Engineering at RMIT University's School of Engineering, leading global research in time-dependent reliability theory and infrastructure corrosion management. He previously served as Head of School (2011-2016), significantly boosting research output and elevating RMIT's Civil Engineering ranking into the top 100 globally. His expertise spans corrosion mechanics, mixed-mode fracture failure, and risk-cost optimized maintenance strategies for critical infrastructure. Research interests include: Time-variant reliability analysis for deteriorating structures Corrosion effects on steel and concrete infrastructure Mixed-mode fracture mechanics for buried pipelines Circular economy design for sustainable infrastructure Risk-based service life prediction methodologies Publications focus on advancing probabilistic modeling techniques, with over 300 papers including high-impact journals like Journal of Structural Engineering and ASCE Journal of Engineering Mechanics . His work has received £10M+ in research grants from UK EPSRC and Australian ARC. Awards include UK's highest 4* research rating and Elsevier's 'Top 2% Scientists' recognition. Industry collaborations include critical infrastructure projects with Metro Trains Melbourne (rail safety), Melbourne Water (stormwater pipe integrity), and AECOM (tunnel maintenance strategies). Supervises PhD/Master's projects on topics like carbon-neutral infrastructure design and corrosion modeling.

• Civil Engineering
• Infrastructure Risk Assessment
• Sustainable Building Technologies
• +۲ مورد دیگر

Kanishka Atapattu is a Research Translation Fellow at RMIT University , specializing in civil infrastructure resilience and sustainable building technologies. Their research focuses on: Predictive modeling for road pavement vulnerability under geohazards Automated structural health monitoring systems Climate-adaptive building retrofit optimization Current projects highlight interdisciplinary applications of simulation-based methods and machine learning in civil engineering. They can be contacted at kanishka.atapattu@rmit.edu.au .

• Geotechnical Engineering
• Probabilistic Methods
• Slope Stability Analysis
• +۵ مورد دیگر

Professor Jinsong Huang is a leading academic in geotechnical engineering and risk assessment at the University of Newcastle's School of Engineering. He holds a PhD from Huazhong University of Science and Technology (China) and has held roles at Wuhan University (China) and Colorado School of Mines (USA). His research focuses on probabilistic methods in geotechnical reliability, slope stability, and soft ground improvement. He has published over 300 papers and received prestigious awards, including the Regional Contribution Award (2014) and GEOSNet Award (2017). He serves on editorial boards of Canadian Geotechnical Journal and Computers and Geotechnics , and chairs the Geotechnical Safety Network (GEOSNet) Executive Board. His work integrates advanced numerical simulations and machine learning for risk assessment, with applications in infrastructure safety and environmental engineering. Education: BE, MS, PhD (Civil Engineering) from Huazhong University of Science and Technology Research Themes: Georisk, probabilistic geotechnics, slope stability, wellbore stability, stochastic site investigation Awards: 19 H-index, 30+ journal/conference papers annually Editorial Roles: Georisk, Canadian Geotechnical Journal, Computers and Geotechnics Key Projects: ARC Centre of Excellence for Geotechnical Science and Engineering, soft ground improvement technology International Collaborations: Colorado School of Mines, Dalhousie University, Nanchang University His research emphasizes quantitative risk assessment through advanced computational methods. Recent work includes Bayesian back analysis for embankment settlements and machine learning applications in landslide susceptibility mapping. He supervises 4 PhD and 1 MSc students, with a focus on ground improvement and geotechnical reliability. Current affiliations include the University of Newcastle, Nanchang University (Guest Professorship), and leadership roles in global geotechnical societies.

Stefan Heubergerمشاهده پروفایل

مدرس

• Tectonics
• Stratigraphy
• Georesources
• +۵ مورد دیگر

Dr. Stefan Heuberger is a Lecturer at the Department of Earth and Planetary Sciences at ETH Zurich. He specializes in tectonics, stratigraphy, and geological mapping, with a focus on Alpine geology and georesources. His research integrates seismic interpretation, thermochronometry, and remote sensing to study structural evolution and resource characterization. He is affiliated with the Swiss Georessources Group (Fachgruppe Georessourcen Schweiz) and holds memberships in key organizations like the Society of Exploration Geophysicists (SEG), American Association of Petroleum Geologists (AAPG), and the Swiss Geological Society (SGS). His work spans from active faulting in Lake Constance to the tectonic history of the Karakoram-Kohistan Suture Zone. Dr. Heuberger has contributed to projects like the St. Gallen Fault Zone study and the PEGASOS Refinement Project, advancing understanding of geothermal systems and seismic hazard assessments. He emphasizes innovative applications of geospatial technologies and machine learning in geological data analysis. Key Research Areas: Alpine tectonics, seismic interpretation, thermochronometry, georesources exploration Technical Expertise: 3D seismic analysis, Raman thermometry, GIS automation Notable Projects: Swiss Geotechnical Commission history, Rhine River incision dynamics, Karakoram suture zone kinematics His publications highlight interdisciplinary approaches to resolving complex geological questions in both regional and international contexts.

• Mining Methods and Systems
• Mine Ventilation Engineering
• Coal Seam Gas Content Analysis
• +۳ مورد دیگر

Prof. Dr. Abdullah Fişne is a Professor at the Department of Mining Engineering at Istanbul Technical University (ITU). He holds a PhD in Mining Engineering from ITU and has been affiliated with the university since 2001 as a Research Assistant, advancing to Assistant Professor in 2010, then Associate Professor in 2015, and his current Professor rank. His expertise spans mining methods, mine safety, and ventilation engineering. He has led over 25 projects focusing on mine ventilation optimization, coal seam gas content analysis, and AI-driven mining systems. Notable awards include the 2008 Mining Doctorate Award and the 2002 Best Master’s Thesis Award. Education: PhD (2008), MSc (2002), BSc (1999) in Mining Engineering from ITU Research Interests: Prof. Fişne specializes in coal seam gas dynamics, mine fire safety, and underground ventilation systems. His work emphasizes practical solutions for spontaneous combustion prevention and gas content prediction using machine learning. Recent studies include asphaltite vein analysis and methane adsorption in the Soma Basin. Publications: His 32+ articles span gas content determination methods, ventilation system optimization, and coal outburst risk assessment. Recent trends focus on data-driven approaches and AI applications in mining safety. Grants/Projects: Lead investigator for projects like Çukuralan Gold Mine Ventilation System Optimization (2023–2024) and AI-Based Mining Operation Systems (2021). Awards: Recognized for contributions to mining safety and academic excellence. Labs/Teams: Active in ITU’s Mining Engineering Lab, collaborating on ventilation and gas management technologies.

Muhammad Azeem Razaمشاهده پروفایل

استاد پژوهشی

• Surface Mine Design
• Simulation-Based Testing and Training
• Heavy Mining Machinery
• +۴ مورد دیگر

Dr. Muhammad Azeem Raza is an Assistant Research Professor in the Department of Mining & Explosives Engineering at Missouri University of Science & Technology (Missouri S&T). He previously served as an Associate Professor of Mining Engineering at the University of Engineering & Technology (UET), Pakistan, where he held administrative roles such as Director of the Office of Research, Innovation & Commercialization and Director for the Office of Planning & Development. His current affiliation includes Missouri S&T, where he contributes to both research and education in mining engineering. Dr. Raza holds a diverse educational background, including: Ph.D. in Mining Engineering (2016) from Missouri University of Science & Technology MBA in Engineering (2018) from UET, Pakistan M.Sc. in Mining Engineering (2006) from UET, Pakistan M.Sc. in Computer Science (2005) from UET, Pakistan B.Sc. in Mining Engineering (2000) from Missouri School of Mines and Metallurgy His research interests focus on advancing mining safety, efficiency, and education through innovative technologies. Key areas include: Surface Mine Design Simulation-Based Testing and Training Heavy Mining Machinery Mine Health and Safety Human Factors Process Modeling Engineering Education Dr. Raza’s publications emphasize the application of simulation-based technologies, eye-tracking for safety analysis, and material science innovations in mining. His work bridges engineering disciplines, integrating artificial intelligence, machine learning, and immersive technologies to enhance operational safety and decision-making in mining and offshore energy sectors. No scientific awards mentioned in the provided information. No information provided on advising students or grants.