جست‌وجوی استاد و پژوهشگر

John S. McCartneyمشاهده پروفایل

استاد

• Geotechnical Engineering
• Unsaturated Soil Mechanics
• Energy Geotechnics
• +۴ مورد دیگر

John S. McCartney is a Professor and Hal Sorenson Endowed Chair in the Department of Structural Engineering at the University of California San Diego (UCSD). He directs the Englekirk Structural Engineering Center and holds editorial roles at journals such as ASCE Journal of Geotechnical and Geoenvironmental Engineering and Computers and Geotechnics. His research focuses on unsaturated soil mechanics, energy geotechnics, and geosynthetics engineering, with applications in thermal energy systems, landfill covers, and seismic response analysis. Education: B.S. and M.S. in Civil Engineering from University of Colorado Boulder (2002), Ph.D. in Civil Engineering from University of Texas at Austin (2007). Research interests include thermo-hydro-mechanical behavior of soils, geothermal energy piles, tire-derived aggregates, and seismic performance of geotechnical systems. His work combines laboratory testing, centrifuge modeling, and numerical simulations to address challenges in sustainable infrastructure and energy systems. Key awards include the Walter L. Huber Research Prize (2016), NSF CAREER Award (2011), and multiple teaching and service recognitions. He actively contributes to ASTM standards and serves as President of the IGS-NA chapter. Lab facilities are located in the Structural and Materials Engineering Building (SME 409). Courses taught include advanced soil mechanics, energy geotechnics, and geotechnical earthquake engineering.

• Geospatial Technology
• Machine Learning
• Natural Hazard Prediction
• +۷ مورد دیگر

Dr. Husam Al-Najjar is a Lecturer at the School of Computer Science within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). He serves as the Course Director for the Bachelor of Information Systems (BIS) program. With expertise in geospatial technology and machine learning, Dr. Al-Najjar focuses on predicting and mitigating natural hazards and environmental issues to contribute to a sustainable digital earth. Dr. Al-Najjar earned his PhD from the University of Technology Sydney. Before joining academia, he worked in project management and has received numerous prestigious awards, scholarships, and grants throughout his career. Dr. Al-Najjar's research primarily centers on the application of machine learning techniques to address complex environmental challenges. His work spans geospatial AI, natural hazard prediction (particularly landslides and bushfires), and sustainable development. He has developed innovative approaches that integrate physical models with machine learning algorithms to improve prediction accuracy in data-scarce environments. His research also extends to remote sensing applications, urban planning, and smart city technologies, with a strong emphasis on practical solutions for real-world problems. Analysis of Dr. Al-Najjar's recent publications reveals a strong focus on applying explainable AI techniques to natural hazard prediction, particularly landslides. His work consistently bridges the gap between theoretical machine learning approaches and practical geospatial applications. He has made significant contributions to integrating physical models with AI, developing methods for handling imbalanced data through generative adversarial networks, and improving feature selection for remote sensing applications in environmental monitoring. Best Paper Award at the ISPRS Geospatial Week in Enschede, the Netherlands As an educator, Dr. Al-Najjar is actively involved in mentoring and teaching. He serves as Course Director for the Bachelor of Information Systems program and teaches courses in GIS, Information Systems, IS development methodologies, Design & Innovation, and Project Management. He welcomes prospective PhD candidates interested in his research areas and emphasizes the importance of detailed research proposals that demonstrate novelty and significance. His teaching philosophy focuses on fostering an engaging and inclusive learning environment that promotes student success and well-being. Dr. Al-Najjar is affiliated with 'The Trustworthy Digital Society' concentration at UTS and serves as a referee and holds editorial roles in respected journals. His work contributes to the development of geospatial AI frameworks that support decision-making in environmental management and disaster preparedness.

Beáta Stehlíkováمشاهده پروفایل

استاد

• Environmental Economics
• Biodiversity
• Quantitative Methods
• +۵ مورد دیگر

Beáta Stehlíková is a Professor at the Department of Economics within the Faculty of Economics and Business at PANEUROPEAN UNIVERSITY PEVŠ. Her research focuses on the intersection of environmental economics, biodiversity, and quantitative methods. Fields: Environmental Economics, Quantitative Methods, Public Health, Neural Networks Email: stehlikovab2@gmail.com Research Trends: Her recent work emphasizes the application of quantitative techniques to environmental health challenges, including geoenvironmental impacts on public health and socioeconomic polarization in Slovakia. She has also explored neural networks in medical geochemistry. Grants: She has contributed to projects funded by VEGA (e.g., VEGA No. 2/0002/19, 2/0026/15) and APVV (APVV-15-0722), focusing on industrial revolution implications, income stratification, and environmental health impacts.

Mo Hoqueمشاهده پروفایل

مدرس ارشد

• Hydrogeology
• Environmental Geoscience
• Contaminant Hydrogeology
• +۷ مورد دیگر

Dr. Mo Hoque is a Senior Lecturer in Hydrogeology at the University of Portsmouth , affiliated with the Faculty of Science and Health , School of the Environment and Life Sciences , and Centre for Blue Governance . He holds a PhD from University College London (2010) and has held postdoctoral and teaching positions at Imperial College London, UCL, and institutions in Bangladesh. Education : PhD (UCL, 2010); PGDip (BUET, 2004); MSc/BSc (University of Dhaka, 2001/1999) His research focuses on hydrogeology and environmental geoscience , particularly contaminant transport , arsenic pollution , and climate change impacts on delta hydrology . He investigates geoenvironmental risks , land degradation , and sustainable water solutions for developing countries. Recent publications highlight groundwater contamination models (2025), spring water sustainability (2024), storm surge salinization (2024), and AI literacy (2023). His work spans contaminant hydrogeology , climate adaptation , and medical hydrogeology , with over 40 peer-reviewed papers and 3,000 citations. Dr. Hoque supervises three fully-sponsored PhD students and contributes to NERC and NIHR grants . He serves on the editorial boards of three peer-reviewed journals and leads the Institute of the Earth and Environment research group.

• Water Resources Management
• Groundwater Flow and Pollutant Transport
• Geoenvironmental Engineering
• +۳ مورد دیگر

Georgios P. Karatzas is a Professor at the Department of Environmental Hydraulics, Coastal Engineering and Geoenvironmental Engineering (IV) within the Technical University of Crete. His research focuses on Water Resources Management , Groundwater Flow and Pollutant Transport , and Geoenvironmental Engineering . He leads the Laboratory of Geoenvironmental Engineering and has developed innovative methodologies like the 'Outer Approximation Method' Optimization adopted by major US agencies. His academic credentials include a Ph.D. (1992), M.Sc. (1987), and B.Sc. (1985) from Rutgers University, with prior education in Forestry from Aristotle University of Thessaloniki (1982). He has received international recognition, including adoption of his optimization methods by the Federal Remediation Technologies Roundtable (2003-present) and EPA (1999). His research integrates Groundwater Simulation Models with Optimization Methods for sustainable aquifer management, addressing challenges like Coastal Aquifer Salinization , Karst Aquifer Dynamics , and Flood Risk Assessment . Recent projects include InTheMED (€220,000) and Sustain–COAST (€290,000) focused on Mediterranean groundwater sustainability. Notable scientific awards include the 2014 Outstanding Teaching Award at Technical University of Crete and multiple grants from PRIMA, Interreg, and LIFE+ programs. His work combines advanced computational methods with practical environmental risk mitigation strategies.

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.

• Structural Earthquake Engineering
• Geotechnical Earthquake Engineering
• Geoenvironmental Engineering
• +۷ مورد دیگر

Yiannis Tsompanakis is a Professor of Structural Mechanics with emphasis on Earthquake Engineering at the Technical University of Crete , affiliated with the Computational Dynamics & Energy Laboratory and Division IV: Environmental Hydraulics & Coastal and Geoenvironmental Engineering. His research spans structural and geotechnical earthquake engineering, soil-structure interaction, and AI-driven optimization techniques for infrastructure resilience. PhD in Civil Engineering, National Technical University of Athens (NTUA), 1999 Diploma in Civil Engineering, NTUA, 1992 Professor Tsompanakis specializes in computational methods for seismic vulnerability assessment, geohazard mitigation, and life-cycle analysis of structures. His work integrates artificial intelligence, structural optimization, and probabilistic mechanics to address challenges in earthquake engineering and environmental protection. Key trends in his recent publications (2021-2022) include: Application of EPS blocks for vibration mitigation in railway systems Swarm intelligence algorithms for seismic response optimization of liquid storage tanks Finite element analysis of secondary fault rupture effects on pipelines and soil deposits Dynamic soil-structure interaction in retaining wall systems Integrated computational approaches to regional seismic risk assessment Life-cycle performance evaluation of geoenvironmental infrastructure He serves as Technical Editor for Structure and Infrastructure Engineering Journal and Secretary of the T4 Technical Committee IASSAR on Life-Cycle Performance. His projects include EU-funded initiatives like TEMPUS WIMB and national grants focusing on seismic resilience of energy and transportation systems.

Ehsan Ghazanfariمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Geo-energy Systems
• Geoenvironmental Engineering
• +۴ مورد دیگر

Ehsan Ghazanfari is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Vermont (UVM), within the College of Engineering and Mathematical Sciences. He holds dual roles as UVM's Sustainability Fellow and Fellow of the Gund Institute for Environment. His research focuses on geotechnical and geoenvironmental engineering, with an emphasis on geoenergy systems (e.g., geothermal, shale energy, CO2 storage) and subsurface sensing technologies (e.g., intelligent compaction, extraterrestrial regolith characterization). Dr. Ghazanfari earned his Ph.D. in Civil Engineering from Lehigh University. He has mentored 6 graduate and over 10 undergraduate students since joining UVM in 2013. He teaches courses such as CE 180 (Geotechnical Principles), CE 285 (Geo-energy Systems), and CE 395 (Environmental Geotechnics). His research integrates theoretical and experimental methods, leveraging advanced instruments for studies on fracture mechanics, subsurface energy systems, and environmental protection. Key areas include: 1) geomechanical behavior of energy-related rocks (e.g., Marcellus Shale, sandstone), 2) CO2 sequestration impacts on rock properties, and 3) sensor networks for subsurface monitoring. Recent work explores data analytics for seismic risk assessment and sustainable material applications. Notable achievements include developing calibration models for geothermal energy piles and advancing electrodialysis methods for shale gas wastewater treatment. His awards reflect institutional and environmental leadership roles within UVM's sustainability initiatives.

Babak Jamhiriمشاهده پروفایل

پژوهشگر

• Structural Health Monitoring
• Geotechnical Engineering
• Machine Learning Applications in Civil Engineering
• +۳ مورد دیگر

Babak Jamhiri holds a Doctoral Researcher position with expertise in structural health monitoring and reliability analysis. He is affiliated with the 3DCP and Construction Automation Research Group, focusing on AI-driven simulations, infrastructural risk assessment, and probabilistic modeling. His research spans geoenvironmental reliability, machine learning algorithms for signal processing, and risk assessment in construction materials. Education: BSc, MSc, and PhD in relevant disciplines (institutions unspecified). Current projects include structural health monitoring of 3DCP components, machine learning for signal processing, and probabilistic crack propagation in problematic soils. Recent work involves performance assessment of post-tensioned concrete beams and developing compressed earth bricks with marl sediment. Research interests emphasize geotechnical challenges such as expansive soils, desiccation cracking, and soil stabilization using industrial byproducts. He explores Bayesian inference, Markov decision chains, and fractal approaches in clay-based materials for nuclear waste disposal applications. Contributions include YouTube tutorials on information value theory, signal processing for anomaly detection, and probabilistic modeling with R. His work bridges theoretical advancements with practical engineering solutions, emphasizing uncertainty quantification and decision-making under uncertainty.

• Structural Engineering
• Earthquake Engineering
• Computational Dynamics
• +۷ مورد دیگر

Ioannis Tsompanakis is a Professor in Structural Engineering with emphasis on Earthquake Engineering at the Technical University of Crete. He belongs to the School of Mineral Resources Engineering and works within the Department of Environmental Hydraulics, Coastal Engineering and Geoenvironmental Engineering. His research focuses on computational dynamics, seismic design, soil-structure interaction, and AI applications in engineering. 1999 : PhD in Civil Engineering, National Technical University of Athens 1992 : Diploma in Civil Engineering, National Technical University of Athens His research spans seismic vulnerability assessment of infrastructure, vibration mitigation using EPS blocks, and life-cycle cost analysis. He employs advanced numerical modeling and swarm intelligence algorithms for optimizing structural resilience against earthquakes and train-induced vibrations. Professor Tsompanakis has contributed to funded research programs such as TEMPUS, THALES, Heraclitus, and PENED, focusing on seismic risk reduction, piezoelectric monitoring systems, and soil slope stabilization. His work bridges computational dynamics, geoenvironmental engineering, and techno-economic analysis. Technical Editor of Structure and Infrastructure Engineering Journal Secretary of T4 Technical Committee IASSAR on Life-Cycle Performance He supervises PhD and postgraduate students, including Alexandros Lyratzakis, Alexandra Tassigiorgou, and Alexandros Tsipianitis, and teaches courses like Structural Analysis, Seismology, and Computational Dynamics at both undergraduate and postgraduate levels.

Ehsan Joratمشاهده پروفایل

عضو هیئت علمی

• Applied Geotechnics
• Geo-environmental Engineering
• Soil Carbon Sequestration
• +۷ مورد دیگر

Ehsan Jorat is a Reader in Geo-environmental Engineering at Abertay University, where he serves as Programme Leader for Civil & Environmental Engineering (BEng/MEng). He is affiliated with the Department of Built Environment and Life Sciences within the School of Science, Engineering and Technology. With over ten years of experience in geotechnical engineering, he has held academic and industry roles in Malaysia, Iran, Germany, and the UK. PhD in Geotechnical Engineering – University of Bremen (Germany) & University of Waikato (New Zealand), 2014 MEng in Geotechnical Engineering – University of Technology Malaysia, 2010 Dr. Jorat's research focuses on applied geotechnics, particularly soil carbon sequestration, microbial-induced calcite precipitation, digital soil mapping, and sustainable civil engineering. He is currently leading work on the SUCCESS project (Sustainable Urban Carbon Capture: Engineering Soils for Climate Change), funded by EPSRC, which investigates soil carbonation’s impact on flood risk and develops measurement systems for the process. His research also includes soft soil stabilization, advanced CPTu testing, and AI applications in soil analysis. The most recent publications reflect a strong trend toward sustainability, climate change mitigation, and innovative soil engineering techniques. Key themes include carbon sequestration in urban soils, environmental impact of construction on wetlands, greenhouse gas emissions from biogeochemical processes, and optimization of soil sampling using AI-driven statistical methods. These works appear in high-impact journals such as Geoderma , European Journal of Soil Science , and Sustainability . Dr. Jorat has secured over £1 million in research funding as both Principal Investigator and Co-Investigator. He actively supervises PhD students and welcomes new candidates interested in geoenvironmental research at Abertay University. He teaches core modules including Geotechnical Engineering, Structural Design, and Advanced Geotechnical Engineering. His research contributes to multiple UN Sustainable Development Goals, particularly those related to climate action, sustainable cities, and responsible consumption. He has also contributed to open datasets on microbial-induced calcite precipitation and mineralogical drill core analysis, enhancing reproducibility and collaboration in geoscience.

Mohammad Sadeghiمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Bio-inspired Ground Improvement
• Machine Learning in Geotechnics
• +۴ مورد دیگر

Dr. Mohammad Sadeghi is an Assistant Professor in Civil, Environmental, and Geospatial Engineering at Michigan Technological University, with an affiliated Assistant Professorship in Geological and Mining Engineering and Sciences. He holds a PhD in Civil Engineering (Geotechnical focus) from Michigan Tech, and prior degrees from Amirkabir University of Technology and Yazd University. Before joining MTU, he served as an Assistant Professor at Montana Technological University (2016-2019), where he secured $300k+ in external grants. His research focuses on bio-inspired ground improvement, AI-driven geotechnical solutions, mine tailings remediation, and geotechnical hazards. Education: PhD, Civil Engineering (Geotechnical), Michigan Tech (2019) MS, Mining Engineering, Amirkabir University (2015) BS, Mining Engineering, Yazd University (2012) Research Interests: Bio-mediated geotechnics, machine learning applications in geotechnics, MWD technology, slope stability, underground structure safety, and abandoned mine remediation. His work emphasizes sustainable construction practices and reducing carbon footprints through innovative geotechnical solutions. Recent research trends include: Microbially induced calcite precipitation (MICP) techniques Artificial intelligence for geophysical data analysis Abandoned mine stability modeling Geotechnical hazard mitigation strategies Grants & Roles: Principal Investigator (PI) on projects funded by Montana DOT ($155k MWD analysis, $33k geofoam calibration) and Fitzgerald Law Firm ($17k abandoned mine mapping). Co-PI on NSF-funded interdisciplinary environmental engineering research ($198k). Labs/Teams: Leads a multi-disciplinary research group focusing on bio-geotechnics and AI applications. Collaborates with industry partners in construction and mining sectors.