جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Structural Reliability Analysis
• Design Optimization
• +۵ مورد دیگر

Mohamed El Amine Ben Seghier is an MSCA Fellow and Part-Time Lecturer at the Department of Built Environment, Oslo Metropolitan University. His research focuses on structural reliability analysis, corrosion modeling, and machine learning applications in civil engineering infrastructure. He explores maintenance optimization for deteriorating structures, including pipelines, bridges, and energy systems, with a particular emphasis on corrosion degradation and predictive frameworks. His work integrates advanced machine learning techniques to address challenges in structural resilience, design optimization, and recycling strategies. He has produced over 90 peer-reviewed publications, with recent contributions focusing on hybrid deep learning models for corrosion prediction, geothermal energy piles, and probabilistic frameworks for infrastructure failure analysis. Key research areas include: Structural reliability and risk assessment Machine learning in civil engineering Material degradation modeling Infrastructure maintenance scheduling Offshore and subsea pipeline integrity His publications demonstrate a strong focus on integrating empirical data with computational models to enhance infrastructure resilience against environmental and operational stresses.

Jong Soo Leeمشاهده پروفایل

دانشیار

• Statistics
• Applications of statistics
• Health Communication
• +۶ مورد دیگر

Jong Soo Lee is an Associate Professor in the Department of Mathematics & Statistics at the University of Massachusetts Lowell (UML), affiliated with the Kennedy College of Sciences. His expertise lies in Statistics and its applications, with research focusing on areas such as health communication, nutritional epidemiology, and statistical methodology development. He holds an office in Southwick 315A and can be reached at JongSoo_Lee@uml.edu . Lee’s research interests emphasize the practical application of statistical techniques to real-world problems. His work spans diverse domains, including the influence of figurative language on dietary choices, the relationship between vitamin D levels and mental health in Puerto Rican populations, and methodological advancements in functional data analysis. He has collaborated on interdisciplinary projects involving health communication, civil engineering, and optimization algorithms. His publications reflect a commitment to both theoretical and applied research, with recent contributions to journals like Health Communication and The Journal of Nutrition . Earlier work includes studies on structural engineering and optimization theory. Despite his extensive publication record, no scientific awards or grants are explicitly listed in the provided materials. Lee does not have any listed advisees or students, and no details about affiliated laboratories or research teams are provided in the text.

• Mining Engineering
• Environmental Engineering
• Hydrogeology
• +۵ مورد دیگر

Dr Behshad Jodeiri Shokri is a researcher at the Centre for Future Materials at the University of Southern Queensland (UNISQ). With degrees in Mining Engineering (BMineExEng, MMineExEng) from Shahrood University and a PhD from USQ, his work bridges mining and environmental engineering. Research Focus: Acid mine drainage (AMD) prediction, rock bolt systems, machine learning applications in mining, sustainable practices, and groundwater contamination. Recent Work Highlights: Development of empirical-analytical AMD models, numerical simulation of rock bolt mechanics, and data-driven XGBoost/ensemble techniques for mine safety. Collaborations: Projects with BHP Group Limited and ACARP (34018 Carbolt™ prototype). Notable Trends: Interdisciplinary use of machine learning for geotechnical challenges and innovative solutions for mine safety and sustainability. Labs/Teams: Affiliated with the Centre for Future Materials , focusing on research-driven environmental and geotechnical solutions.

Hadi Nourizadehمشاهده پروفایل

پژوهشگر ارشد

• Geotechnical Engineering
• Mining Engineering
• Ground Support Systems
• +۵ مورد دیگر

Dr. Hadi Nourizadeh is a Research Fellow at the University of Southern Queensland (USQ) in the Centre for Future Materials (Research). His work focuses on ground support engineering, specifically advancing rock bolt and cable bolt technologies. He holds a BEng, MEng, and PhD in Mining and Geotechnical Engineering, and previously served as a Lecturer at Sahand University of Technology (2011–2018). Dr. Nourizadeh’s research explores axial/shear transfer mechanisms in reinforcing elements, engineered bonding materials (e.g., cementitious grouts, polyester resins), and sustainable practices in mining. His expertise spans coal/resource mining, geomechanics, and construction materials. He has published over 30 papers in high-impact journals/conferences, with a focus on optimizing grouting systems, predicting load-bearing capacities, and integrating machine learning into geotechnical analysis. Key areas include: Grouting Technology: Developing eco-friendly grouts using waste materials (e.g., fly ash, glass powder). Numerical Modeling: Finite element analysis of bolt behavior under varied geotechnical/thermal conditions. Machine Learning: Applying XGBoost and ensemble methods for predicting grout performance. He leads projects like the ACARP-funded Carbolt™ prototype development and waste utilization in concrete. His work aims to enhance safety, sustainability, and efficiency in mining and construction sectors.

• Spatial Data Infrastructure
• Crowdsourced Data
• Property Rights
• +۴ مورد دیگر

Professor Kevin McDougall is an Honorary Professor at the University of Southern Queensland, affiliated with the School of Surveying and Built Environment under the Civil Engineering and Surveying faculty. His academic career includes roles such as Head of School from 2013 to 2020. He holds a PhD from the University of Melbourne and qualifications in Surveying from Queensland institutions. McDougall specializes in Spatial Data Infrastructure, crowdsourced data analysis, property rights, and mining engineering. His research integrates geotechnical systems, sustainable materials, and machine learning to solve challenges in rock bolt performance, grouting systems, and disaster management. Education: Bachelor of Surveying (BSurv), University of Queensland, 1980 Bachelor of Surveying (Honours) (BSurv(Hons)), University of Queensland, 1983 Master of Surveying and Mapping (MSurv&Map), University of Queensland, 1986 PhD in Geomatics, University of Melbourne, 2007 Research Interests: McDougall’s work bridges geotechnical engineering and sustainable practices, focusing on rock bolt mechanics, grouted systems, and data-driven solutions for infrastructure. He explores the application of digital twins in built environments and the use of crowdsourced data for disaster management. His research also addresses land use policy impacts and erosion modeling in arid regions. Articles Trends: Recent studies emphasize numerical simulations, machine learning for material prediction, and large-scale testing of geotechnical systems. His work on axial load transfer mechanisms and cable bolt performance under varying conditions reflects a focus on enhancing infrastructure resilience. Collaborations span mining waste utilization, environmental impact analysis, and spatial policy evaluation. Advising & Labs: McDougall supervises doctoral research on topics like grout-enhanced concrete, sustainable mining practices, and rock bolt dynamics. He contributes to interdisciplinary teams within the Centre for Applied Climate Sciences, Centre for Agricultural Engineering, and Centre for Future Materials, advancing practical solutions for geotechnical and environmental challenges.

• Cyber Intelligence Analysis
• Cybersecurity
• Data Security
• +۴ مورد دیگر

Dr. Geoffrey Skinner is a Senior Lecturer at the University of Newcastle's School of Information and Physical Sciences, specialising in Data Science and Statistics. He holds a PhD from Curtin University and a Bachelor of Engineering (Computer Engineering) from the University of Newcastle, complemented by a Graduate Certificate in Tertiary Teaching. His research expertise centers on Cyber Intelligence Analysis, with a focus on cybersecurity, data privacy, and eHealth technologies. He has contributed to over 100 publications and led multiple grants, including the SMS4dads initiative addressing mental health support for fathers. His work integrates technical, legal, and social dimensions to address privacy and security challenges in digital ecosystems. Notable projects include developing frameworks for trust management, secure authentication systems, and eHealth applications targeting youth and workforce health. His interdisciplinary approach bridges computer science, education, and healthcare, emphasizing practical solutions for contemporary cybersecurity and data protection challenges. Education: PhD, Curtin University Bachelor of Engineering (Computer Eng)(Honours), University of Newcastle Graduate Certificate Practice of Tertiary Teaching, University of Newcastle Research Interests: Cyber Intelligence Analysis Data Security & Privacy eHealth Innovations Trust and Reputation Management Grants: SMS4RRDads (2021-2025): $3.1M to support rural fathers' mental health. Be Positive Be Healthe: eHealth weight loss program for young women.

• Applied Mathematics
• Nanotechnology
• Granular Materials
• +۳ مورد دیگر

Professor Natalie Thamwattana holds a position at the University of Newcastle's School of Information and Physical Sciences, specializing in Mathematics. She has been recognized with prestigious awards, including the 2014 JH Michell Medal and the University of Wollongong's Emerging Researchers Excellence Award. Her research focuses on applied mathematics, nanotechnology, and granular materials, with notable contributions to carbon nanostructure modeling and electrorheological fluids. Natalie has supervised ten PhD students, many of whom now hold academic and research roles globally. Education: Doctor of Philosophy in Applied Mathematics, University of Wollongong Research Interests: Natalie's work bridges mathematics and interdisciplinary applications, including nanomechanics, mathematical modeling of nanostructures (e.g., carbon nanotubes, graphene), and fluid dynamics. She pioneered studies on granular materials' exact solutions and developed continuum models for molecular interactions. Her contributions extend to environmental applications, such as permeable reactive barriers and dye-sensitized solar cells. Grants & Collaborations: ARC Discovery Project (2017-2019) on electromaterials for energy ARC Linkage Project (2020-2022) on clogging in reactive barriers Collaborations with engineering, computer science, and medical fields Awards & Recognition: Fellow of the Australian Mathematical Society Fellow of the Royal Society of New South Wales Featured in the 'Women of Mathematics' exhibition Labs & Leadership: Natalie directed the Priority Research Centre for Computer-Assisted Research Mathematics and its Applications (CARMA) and co-directed the Mathematics in Industry Study Group (MISG). She is actively involved in promoting gender equity in mathematics through roles in WIMSIG and outreach programs targeting high school students.

Ahmed Abdallaمشاهده پروفایل

استادیار

• Geodesy
• Geoinformatics
• Surveying
• +۶ مورد دیگر

Dr. Ahmed Abdalla is an Assistant Professor in the Department of Civil & Environmental Engineering at Louisiana State University (LSU), affiliated with the Center for Geoinformatics. He holds a PhD in Surveying from the University of Otago, New Zealand, and has held academic positions at institutions in Sudan, Germany, and Sweden. His research focuses on geodesy, geoinformatics, and remote sensing applications in environmental monitoring, with specialties in geoid modeling, land subsidence analysis, and gravity field studies. He has extensive experience in GNSS, InSAR, and satellite gravimetry technologies. Education: PhD in Surveying, University of Otago, New Zealand (2013) MSc in Geodesy and Geoinformatics, Royal Institute of Technology, Sweden (2009) BSc in Surveying Engineering, University of Khartoum, Sudan (2003) Research Interests: Geoid and gravity field modeling Land subsidence monitoring using GNSS/InSAR Remote sensing for environmental applications GIS integration with geophysical datasets His recent work emphasizes coastal Louisiana subsidence analysis, Sudan gravity field development, and machine learning enhancements for geodetic measurements. Over 50 peer-reviewed publications demonstrate his contributions to geospatial science and engineering. Professional Experience: 2018-Present: Assistant Professor, LSU 2014-2018: Assistant Professor, University of Khartoum 2017-2018: Visiting Scientist, Leibniz University of Hanover Labs/Teams: Active member of LSU's Center for Geoinformatics, leading geospatial research initiatives in environmental monitoring and geodetic infrastructure development.

• Information Systems
• Technology Management
• Information Technologies

Assoc. Prof. Dr. Özgür Tolga Pusatlı is affiliated with Çankaya University, Faculty of Engineering, Department of Information Systems. He holds a PhD in Information Systems from the University of Newcastle, Australia, with a thesis on interoperability and information system replacement in the health sector. Bachelor's Degree in Geological Engineering from Middle East Technical University (1997) Master's Degree in School of Design, Communication & IT from University of Newcastle (2003) PhD in Information Systems from University of Newcastle (2009) His research spans Information Systems , Technology Management , and Information Technologies , focusing on machine learning applications in geotechnical engineering and structural safety analysis. Recent work includes computational modeling for slope stability. The 2022 publication in Water (Switzerland) demonstrates his interdisciplinary approach combining data science with civil engineering challenges.

• Structural Engineering
• Structural Control
• Structural Health Monitoring
• +۴ مورد دیگر

Roles & Affiliations: Ian F. C. Smith is a Honorary Professor at EPFL's ENAC School, affiliated with the EESD laboratory. He holds dual Swiss-Canadian citizenship and has been a leading figure in structural engineering and adaptive systems. Education: PhD in Engineering from the University of Cambridge (1982). Research Interests: Focuses on adaptive civil structures, biomimetic systems, structural health monitoring, and advanced computing applications in civil engineering. His work includes developing structures that adapt to loads through shape morphing, improving infrastructure resilience via data-driven methods, and enhancing safety through sensor networks and vibration analysis. Key Contributions: Over 150 publications on structural control, smart materials, and data interpretation. Notable works include frameworks for occupancy detection via floor vibrations, biomimetic adaptive control of tensegrity structures, and optimization of measurement systems for bridge testing. Advising & Labs: Supervised numerous PhD students (e.g., S. Drira, N. Bertola). Leads the EESD lab, exploring earthquake engineering, structural dynamics, and adaptive systems. Collaborates on projects like the Singapore Cyber-Civil-Infrastructure initiative and the biomimetic deployable footbridge system.

• Geological Remote Sensing
• Hyperspectral Imaging
• Mineral Exploration
• +۳ مورد دیگر

Dr. Richard Gloaguen serves as Head of the Exploration Department at the Helmholtz Institute Freiberg for Resource Technology (HZDR), part of the Helmholtz-Zentrum Dresden-Rossendorf. His work focuses on advancing geospatial technologies and hyperspectral imaging for sustainable resource management. Key areas include mineral exploration, environmental monitoring of mining sites, and AI-driven analysis of geological data. Research interests emphasize integrating remote sensing, machine learning, and robotics for applications in resource technology, including hyperspectral imaging of drill cores, UAV-based geophysical surveys, and recycling stream characterization. He leads projects such as MOSMIN (multiscale mining observation), MULSEDRO (drone-based mineral exploration), and the development of open-source tools like the HYDE hyperspectral denoising package. His recent publications highlight innovations in 3D hyperspectral point cloud segmentation, satellite-based environmental monitoring of mine areas, and benchmark datasets for material classification. He collaborates globally on initiatives like the RAMSES-4-CE project for e-waste sensor networks and the Open Geology Database (OGD) platform. Dr. Gloaguen’s team develops autonomous robotic systems for underground mining mapping and has pioneered methods for real-time hyperspectral data processing during core logging. His work bridges geoscience, engineering, and computer science to address challenges in sustainable resource extraction and recycling.

• Machine Learning
• Control Systems
• Medical Imaging
• +۷ مورد دیگر

Jie Su is a researcher affiliated with Zhejiang University of Technology, College of Information Engineering, Institute of Cyberspace Security. Their work spans interdisciplinary areas including machine learning, control systems, medical imaging, environmental science, and computer vision. Notable contributions include advancements in reinforcement learning for sepsis treatment, prescribed-time control theory, and Arctic sea-ice motion analysis using satellite data. They also contribute to medical AI applications like bone marrow image analysis for hematological disorders and adversarial robustness in object tracking systems. Research interests emphasize applying machine learning to solve real-world challenges in healthcare, environmental monitoring, and engineering systems. Recent work focuses on neural dynamics models for decision-making, energy-efficient hybrid vehicle systems, and vibration analysis in urban infrastructure. Their interdisciplinary approach bridges theoretical foundations (e.g., control systems, signal processing) with practical applications in biomedical and environmental domains. Publications reflect a strong focus on AI-driven solutions, including medical image analysis, adversarial machine learning, and physics-informed algorithms. Collaborations span multiple disciplines and institutions, evidenced by frequent co-authorships on topics ranging from biomedical engineering to civil engineering applications.

• Geotechnical Engineering
• Soil Mechanics
• Environmental Geotechnics
• +۴ مورد دیگر

Professor Hossam Abuel-Naga is the Head of the Department of Engineering at La Trobe University in Australia and holds an Adjunct Professorship at Chongqing University, China. With over 25 years of experience in geotechnical engineering, his expertise spans soil behavior under multi-physical coupled processes, including applications in nuclear waste disposal, methane hydrate mining, energy foundations, and landfill systems. Education & Career: Senior Lecturer and Geo-Engineering Research Lead, University of Manchester (UK) Senior Lecturer, University of Auckland (New Zealand) Research Fellow, Monash University (Australia) Research Interests: Focuses on geotechnical materials, sustainable construction, AI-driven geotechnical modeling, and environmental geotechnics. Specific areas include soil-structure interaction, energy geostructures, waste management, and novel material characterization techniques. Contributions: Authored over 100 peer-reviewed publications, served as a panelist for the National Science Foundation (USA), and editorial roles in international journals. His work emphasizes bridging experimental and computational methods to address geotechnical challenges in energy systems and sustainable infrastructure. Grants & Collaboration: Evaluated grants for the Swiss National Science Foundation and Australian Research Council. Active in global geotechnical networks, focusing on interdisciplinary solutions for environmental and energy infrastructure problems.

Stephen McKinnonمشاهده پروفایل

استاد

• Mining Engineering
• Geomechanics
• Rockburst Analysis
• +۷ مورد دیگر

Dr. Stephen McKinnon is a Professor in the Robert M. Buchan Department of Mining at Queen’s University, holding a cross-appointment in the Department of Geological Science and Geological Engineering within the Faculty of Arts and Science. He joined Queen’s in 1998 as the Professor and Chair in Mine Design. His expertise spans mine layout design, high-stress geomechanics, and seismic risk analysis in mining environments. He holds a B.A.Sc. and M.A.Sc. from the University of Toronto and a Ph.D. from the University of the Witwatersrand. Dr. McKinnon’s research focuses on mining-induced seismicity, rock mass characterization, and numerical modeling of subsidence and stability. His work integrates advanced techniques like LiDAR imaging for fracture mapping and machine learning for rockburst risk prediction. He has extensive international experience in mining geomechanics, working across Sweden, South Africa, Chile, the USA, and Canada. His publications reflect a strong emphasis on bridging geomechanical theory with practical mining challenges, particularly in deep and complex geological settings. He is a registered Professional Engineer in Ontario and actively contributes to industry-relevant research through collaborations and advanced modeling methodologies.

Mehmet SOYLEYMEZمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Soil Mechanics
• Environmental Engineering
• +۴ مورد دیگر

Mehmet SOYLEYMEZ is an Associate Professor at Adiyaman University's Faculty of Engineering, Civil Engineering Department. He holds a Doctorate in Geological Engineering from Çukurova University (2002) and has been affiliated with institutions like Celal Bayar University and Çukurova University. His research focuses on geotechnical engineering, soil mechanics, and structural analysis, with notable projects on soil compaction, geotextile interfaces, and non-destructive testing of cultural heritage structures. He has authored over 20 peer-reviewed articles and edited a book on building materials and sustainability. Awards include the Golden Hammer Research Award and a publication incentive award. Key research areas include soil behavior under varying conditions, rock mechanics, and the application of machine learning in geotechnical modeling. Recent work emphasizes environmental engineering challenges like landfill analysis and material recycling. He has supervised projects on soil bearing capacity mapping and waste utilization in construction. Active in academic service, he has served as Department Head and contributed to editorial and refereeing roles.