جست‌وجوی استاد و پژوهشگر

• Rock Mechanics
• Mining Engineering
• Slope Stability
• +۵ مورد دیگر

Professor İbrahim Ferid Öge is a distinguished academic at Muğla Sıtkı Koçman University, serving in the Faculty of Engineering within the Department of Mining Engineering. With extensive experience in rock mechanics and mining engineering, he contributes significantly to both academic instruction and research in his field. Education: Bachelor's Degree: Middle East Technical University - Faculty of Engineering - Department of Mining Engineering (2001-2006) Master's Degree: Middle East Technical University - Institute of Science - Mining Engineering (2006-2008) Doctorate: Middle East Technical University - Institute of Science - Mining Engineering (2008-2013) Professor Öge's research primarily focuses on rock mechanics, slope stability, and underground mining systems. His work addresses critical challenges in mining engineering, particularly concerning squeezing rock conditions, support systems, and numerical modeling of rock behavior. His expertise spans both theoretical and practical applications, with numerous field evaluations informing his research methodology. He has made significant contributions to understanding rock mass properties, deformation characteristics, and stability assessment in various mining environments. His publication record demonstrates a consistent trajectory of high-impact research in leading journals such as the Bulletin of Engineering Geology and the Environment, Tunnelling and Underground Space Technology, and International Journal of Rock Mechanics and Mining Sciences. His work shows a clear progression from fundamental rock mechanics investigations to increasingly sophisticated applications in coal mining, tunneling, and support system design. A notable trend is his integration of advanced analytical methods including multiple regression, neural networks, and 3D numerical modeling to solve complex mining engineering problems. Professor Öge has served as an editor for numerous prestigious journals including International Journal of Rock Mechanics and Mining Sciences, Tunnelling and Underground Space Technology, and Bulletin of Engineering Geology and the Environment, reflecting his standing in the international research community. He has successfully led multiple research projects for major mining companies in Turkey, focusing on rock mechanics, slope stability, and support system design. His projects include investigations for Çayeli Copper Mines, ESAN Eczacıbaşı Industrial Raw Materials, and various coal mining operations. These projects demonstrate his ability to translate academic research into practical mining solutions, with particular emphasis on safety and efficiency in challenging geological conditions. Professor Öge actively contributes to the mining engineering community through his participation in national and international conferences, including regular presentations at the Turkish International Mining Congress and Symposium. His research has established him as a leading expert in rock mechanics applications within the Turkish mining industry.

Asoke Nandiمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Wireless Communications
• +۷ مورد دیگر

Professor Asoke Nandi serves as Professor of Electronic & Computer Engineering at Brunel University of London, where he has been Head of Electronic and Computer Engineering since April 2013. Previously, he held the David Jardine Chair of Signal Processing at the University of Liverpool, where he established and led the Signal Processing and Communications Research Group. His academic journey began with a PhD from the University of Cambridge, followed by positions at prestigious institutions including Rutherford Appleton Laboratory, CERN, Queen Mary University of London, the University of Oxford, Imperial College London, and the University of Strathclyde. Professor Nandi's research spans theoretical developments in signal processing and machine learning, with applied contributions across multiple domains. His work encompasses wireless communications (including automatic modulation recognition and equalization), biomedical signal processing (breast cancer detection, electrocardiogram extraction, retinal image processing), machine condition monitoring, image forensics, time series predictions, genomic signal processing (gene clustering), brain signal processing (music, EEG, and fMRI data processing), and Big Data analytics. These diverse research interests demonstrate his interdisciplinary approach to information engineering problems. His recent publications reveal a strong focus on deep learning applications across multiple domains, with emphasis on medical imaging (particularly cancer diagnosis and segmentation), remote sensing change detection, fault diagnosis in mechanical systems, and innovative approaches to image processing. The research shows a clear trajectory toward more sophisticated neural network architectures including attention mechanisms, diffusion models, and multimodal fusion techniques applied to real-world engineering and medical challenges. IEEE Transactions on Radiation and Plasma Medical Sciences Best Paper Award (2025) Foreign Member of Chinese Society for Vibration Engineering (2025) Member of Academia Scientiarum et Artium Europaea (2023) Member of Academia Europaea (2023) Fellow of Royal Academy of Engineering, U.K. (2014) IEEE Distinguished Lecturer (EMBS, 2018-2019) Finland Distinguished Professor Award (2010-2014) Co-discoverer of W+, W-, and Z0 particles (1983) Professor Nandi has supervised numerous PhD students and research projects across his career, though specific student names aren't listed in the provided materials. His work has been supported by various research grants that have enabled his prolific output of over 650 technical papers, including more than 320 in quality international journals, with an impressive h-index of 92 according to Google Scholar. His research group IEHS at Brunel focuses on information engineering and health systems, reflecting his interdisciplinary approach. Professor Nandi maintains active collaborations through his visiting professorships at institutions including Xi'an Jiatong University (China), Universite d'Orleans (France), and Tongji University (China), as well as his previous adjunct professorship at the University of Calgary (Canada). These international connections enrich his research environment and provide opportunities for cross-cultural scientific exchange.

• Landslide Hazard and Risk
• Rock Slope Failure
• 3D Terrestrial Monitoring
• +۲ مورد دیگر

Professor Nick Rosser holds a faculty position in the Department of Geography at Durham University and serves as a Fellow and Management Board Member of the Institute of Hazard, Risk & Resilience. His academic role focuses on advancing geohazard research through interdisciplinary collaboration and field-based investigations. His research centers on material deformation characteristics in rockfalls and landslides, with specific expertise in: Earthquake-triggered landsliding dynamics 3D terrestrial time-series monitoring techniques Rock coast evolution processes Landslide risk management frameworks Employing both laboratory experiments and field data collection, his work develops theoretical models to predict slope failure mechanisms while maintaining strong end-user relevance for disaster risk reduction. Recent publications (2021-2025) reveal a strategic focus on Himalayan landslide systems, utilizing satellite imagery and machine learning for hazard detection. Key trends include automated monitoring of slow-moving landslides via Sentinel-2, national-scale susceptibility mapping in Nepal, and analysis of cascading hazards following major earthquakes. His group pioneered hypergraph modeling for multi-hazard interactions and demonstrated weak correlations between building damage and fatality rates in landslides. Professor Rosser actively supervises PhD candidates Ian Pawlby and Sophie Kenmare while leading major research initiatives. He directs the Coastal Behaviour and Rates of Activity (COBRA) collaboration with ICL Fertilizers (UK) Ltd, investigating coastal cliff evolution in North Yorkshire. Additionally, he heads a DFID-Nepal funded project assessing landslide risk evolution in post-Gorkha earthquake regions through partnership with the National Society for Earthquake Technology in Kathmandu. His research operations are coordinated through the Institute of Hazard, Risk & Resilience, where he contributes to interdisciplinary disaster resilience strategies. Current projects integrate terrestrial laser scanning, satellite remote sensing, and community engagement methodologies to address complex geohazard challenges across multiple continents.

Maurice Guerrieriمشاهده پروفایل

استاد

• Structural Fire Engineering
• Concrete Spalling
• Fire Resistance Tests
• +۵ مورد دیگر

Professor Maurice Guerrieri is a leading researcher in structural fire engineering and materials science at Victoria University (VU), affiliated with the Institute for Sustainable Industries & Liveable Cities (ISILC). He holds the title of Professor and leads the NATA-accredited VU Structural Fire Testing Facility. His expertise includes fire performance of geopolymer concrete, tunnel fire safety, and large-scale structural testing. He has pioneered infrastructure fire testing for major projects like Melbourne’s Metro Tunnel and Sydney Metro, and authored the EFNARC 459 International Standard. Education: BEng (Hons), Monash University (2000) PhD (Civil), Monash University (2005) Research Focus: Experimental fire engineering, concrete spalling under fire, tunnel structural safety, and sustainable construction materials. Collaborations include AECOM, Transurban, and international institutes like France’s CSTB and Sweden’s RISE. His work integrates AI for predictive modeling in geotechnical research. Awards: 2019 Vice-Chancellor’s Award for Engagement with Industry 2024 ISILC Building Research Capacity Award Funding & Grants: Secured over $2.1M in research funding since 2021, including ARC LIEF grants and industry partnerships. Projects include fire testing for the Westgate Tunnel and North East Link. Labs/Teams: Director of VU’s large-scale fire testing facility and head of the Structural Fire Engineering group within ISILC.

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

B F Spencer is a Professor and the Nathan M. and Anne M. Newmark Endowed Chair in Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign. His research focuses on structural health monitoring, smart sensors, vibration control, and material fatigue analysis. He leads initiatives in integrating AI and edge computing for real-time infrastructure assessment, with applications in earthquake engineering and railroad bridge safety. Education details are not explicitly provided, but his work spans over 600 publications and includes collaborations across civil engineering disciplines. Key research areas include wireless sensor networks, fatigue testing of miter gates, and digital twin frameworks for post-disaster inspections. His articles emphasize advancements in AI-driven structural monitoring, such as adaptive edge intelligence for rapid condition assessment and deep learning-based seismic damage quantification. Notable contributions include frameworks for UAV localization and physics-informed neural networks. Awards: ASCE Distinguished Member (2023), George W. Housner Medal (2015), Nathan M. Newmark Medal (2018), University of Tokyo Fellow (2023) Grants & Funding: Details not specified, but his research involves full-scale testing facilities and multi-institutional collaborations. Labs/Teams: Active in sensor network development and structural resilience initiatives, though specific lab names are not mentioned.

• Machine Learning
• Cybersecurity
• Bayesian Networks
• +۵ مورد دیگر

Zhou Zhou is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on machine learning, adversarial robustness, Bayesian networks, and cybersecurity. He explores topics such as test-time adaptation, neural network robustness, and graph-based methods. Zhou has contributed to advancements in stochastic neural networks, feature distribution optimization, and multi-relation extraction for cybersecurity applications. His work bridges theoretical foundations and practical implementations in domains like combat network analysis and structural deformation monitoring. Education details are not explicitly provided in the text, but his research spans interdisciplinary areas including artificial intelligence, data science, and network analysis. His publications address challenges in model generalization, adversarial defense, and optimization algorithms. Zhou's research trends emphasize robustness in machine learning models, with a focus on adapting to real-world data variations. His work on Bayesian networks integrates ensemble methods and edge constraints to improve structure learning. In cybersecurity, he applies ontology-enhanced learning and graph theory to extract multi-relation insights. Recent articles highlight innovations in DAG learning, confidence calibration, and hybrid remote sensing techniques for infrastructure monitoring. He has no listed awards or grants mentioned in the text. His affiliations include Queen Mary's School of Electronic Engineering and Computer Science, where he contributes to research groups focused on AI, cybersecurity, and computational methods.

Da Huمشاهده پروفایل

استادیار

• Smart Infrastructure Systems
• Robotics and Sensing
• Infrastructure Inspection and Management
• +۷ مورد دیگر

Dr. Da Hu is an Assistant Professor in the Department of Civil and Environmental Engineering at Kennesaw State University (KSU), joining in Spring 2023. His research focuses on smart infrastructure systems, leveraging AI, robotics, and data analytics for disaster response, infrastructure inspection, and facility management. He holds a Ph.D. from the University of Tennessee, Knoxville, and has extensive postdoctoral and industry experience. His work spans robotic systems, geotechnical engineering, and building information modeling, with over 20 publications in top journals. Education: Ph.D. in Civil Engineering, University of Tennessee, Knoxville (2022) M.S. in Civil Engineering, Texas Tech University (2018) M.S. in Civil Engineering, University of the Chinese Academy of Sciences (2017) B.S. in Safety Engineering, Zhengzhou University (2014) B.B.A. in Business Administration, Zhengzhou University (2014) Research Interests: Robotics and Sensing, Infrastructure Inspection, Human-Robot Collaboration, VR/AR, Disaster Management, and AI-driven solutions for sustainable infrastructure. His lab develops technologies like drone-based damage assessment, GPR for subsurface mapping, and robotic disinfection systems for hospitals. Grants & Awards: NSF ERI Award ($199,642) as PI (2024–2026) SPCEET Outstanding Early Career Faculty Award (2025) Best Paper Award, Building and Environment (2020) Advising & Labs: Supervises PhD and master’s students in smart infrastructure and robotics. Active in the Geotechnical Lab, developing affordable learning resources like CE3708 lab videos. Former lab members include Tracy Le and Frank-Cedric Kadjo. Teaching: Teaches courses like CE 2003, ENGR 2214, and CE 3708 Geotechnical Engineering Lab.

Recep YILMAZمشاهده پروفایل

استاد

• Business Administration
• Cost Accounting
• ERP Systems
• +۷ مورد دیگر

Prof. Dr. Recep YILMAZ is a faculty member at the Department of Business Administration, Faculty of Business Administration, Sakarya University. His academic roles include teaching and research in cost accounting, management accounting, ERP systems, and financial information management. He holds a full-time professorship and has been actively involved in academic contributions since at least 2003. Education & Professional Background: While specific educational details are not explicitly listed, his extensive publications and project leadership indicate advanced academic credentials in business administration and related fields. Research Interests: Prof. YILMAZ focuses on cost accounting methodologies, ERP system implementations, supply chain optimization, manufacturing process control, and financial accounting standards compliance. His work integrates computer science applications (e.g., deep learning for inventory management) with traditional business disciplines. Article Trends: Recent publications emphasize predictive modeling in environmental risk management, real-time inventory systems, and ERP adoption in IFRS conversion. Earlier work includes studies on flexible manufacturing environments, fraud detection in ERP systems, and activity-based costing practices. Awards: Received the 'Eğitimde Müşemmelik Ödülü' (Excellence in Education Award) from Sakarya University in 2016. Research Projects: Led or contributed to over 20 projects, including real-time inventory models, dam occupancy predictions, and ERP system development. Grants & Mentorship: Supervised 13 doctoral and master’s theses, focusing on topics like ERP integration challenges, financial fair-play criteria in football clubs, and strategic pricing in furniture industries. He has also served on doctoral juries and academic organizing committees. Labs & Teams: Active in interdisciplinary teams developing digital systems (e.g., real-time document control, robotic sensing) and collaborating with industry partners like Arvasis Bilişim.

Jean Hutchinsonمشاهده پروفایل

استاد

• Geotechnical Engineering
• Geomechanics
• Rock Engineering
• +۵ مورد دیگر

Dr. Jean Hutchinson is a Professor in the Department of Geological Science and Geological Engineering at Queen's University, Canada. She previously served as Head of Department (2009-2017) and holds a cross-appointment as Research Director at the GeoEngineering Centre. Her research focuses on geohazard risk assessment, remote sensing technologies (LiDAR, photogrammetry), and rock engineering applications in transportation and mining sectors. She leads the Canadian Railway Ground Hazard Research Program, funded by NSERC, CP Rail, CN Rail, and Transport Canada. Education: PhD (1992) Rock Engineering – University of Toronto M.A.Sc (1988) Geotechnical Engineering – University of Alberta B.A.Sc (1984) GeoEngineering, Geotechnical Option – University of Toronto Research Interests: Dr. Hutchinson specializes in multi-criteria risk management for geological projects, particularly using advanced remote sensing techniques to characterize rock masses and monitor slope stability. Her work includes landslide mechanisms, mine closure planning, and railway corridor hazard assessment. She advocates for innovative applications like game-engine simulations for rockfall modeling and DAS technology for subsurface deformation analysis. Grants & Collaborations: Her research is supported by industry partnerships and national funding agencies. She is Principal Investigator on the Canadian Railway Ground Hazard Program and has pioneered integration of TLS and photogrammetry for slope monitoring. She also chairs several national committees including the NSERC Discovery Grant Selection Panel and the Canadian Foundation for Geotechnique. Labs & Affiliations: As Research Director at Queen's GeoEngineering Centre, she oversees interdisciplinary projects. She is Vice-President of the International Association for Engineering Geology and Environment (IAEG) and editorial board member for Environmental and Engineering Geoscience .

• Project Management
• Risk Management
• Innovation Management
• +۴ مورد دیگر

Tim Rose is an Associate Professor at Queensland University of Technology (QUT), affiliated with the School of Architecture & Built Environment within the Faculty of Engineering. His primary roles include Research Project Leader at the Centre for Mining Equipment, Technology and Services Business Innovation (CMBI) and Director of International and Engagement for the School of Civil Engineering and Built Environment. He holds a PhD from QUT and specializes in project management, risk management, innovation adoption, and building sustainability. Key research interests include construction innovation, supply chain logistics, occupational safety, and organizational behavior. His work spans theoretical frameworks and practical applications, such as developing algorithms for construction scheduling and analyzing corruption in the Malaysian construction industry. Rose has contributed to over 60 publications, focusing on topics like machine learning in auditing, reverse logistics, and fatigue management in construction workers. Education: PhD in Construction Management from QUT Awards: Nominated for Vice-Chancellor's Excellence Awards (2012, 2015) and CRC Innovation Research Scholarship (2004–2007) His articles highlight trends in leveraging technology (e.g., AI for auditing, deep learning in material testing) and addressing industry challenges like corruption and safety. Rose collaborates with global entities such as the Cooperative Research Centre for Optimising Resource Extraction (CRC ORE) and the International Council for Research and Innovation in Building and Construction (CIB). He has supervised doctoral and master's students on projects involving reverse logistics, safety innovation, and infrastructure performance in developing countries. Professional activities include editorial roles for journals like Construction Management and Economics and Automation in Construction , reflecting his influence in shaping industry research directions.

• Geotechnical Engineering
• Rock Mechanics
• Soil Mechanics
• +۳ مورد دیگر

Dr Yilin Gui is a Senior Lecturer in Geotechnical Engineering at the School of Civil & Environmental Engineering, Queensland University of Technology (QUT), since 2019. Previously, he held positions as Lecturer at Newcastle University (UK) and Research Fellow at Nanyang Technological University and Monash University. He earned his PhD from the University of New South Wales (UNSW) and a Postgraduate Certificate in Academic Practice from Newcastle University, UK. As a Senior Fellow of the Higher Education Academy, he emphasizes innovative teaching and research in geomechanics. His research focuses on rock and soil mechanics, computational modeling of geomaterials, geoenvironmental engineering, and mining engineering. Key areas include expansive soils, thermal effects on geotechnical materials, and machine learning applications in pavement stability and blast prediction. He actively supervises PhD candidates and offers scholarships. Dr Gui holds editorial roles in the Journal of Rock Mechanics and Geotechnical Engineering. He is a member of leading professional bodies, including the Australian Geomechanics Society, International Society for Soil Mechanics, and UK Carbon Capture and Storage Research Centre. His work bridges computational methods with practical geotechnical challenges, contributing to sustainable infrastructure and environmental resilience.

• Geophysics/Seismology
• Volcanology
• Seismic Imaging
• +۳ مورد دیگر

Chenglong Duan is a Researcher in the Department of Earth and Planetary Sciences at the University of New Mexico. His research focuses on geophysics, seismology, and volcanology with a particular emphasis on seismic imaging techniques applied to volcanic systems and induced seismicity. He holds a Ph.D. from the University of Texas at Dallas (2022). His work includes studies on the Yellowstone magma reservoir structure, microseismic monitoring using deep learning, and induced seismicity analysis in energy exploration contexts. Key research areas include: Volcanic magma dynamics and reservoir characterization Seismic event discrimination and source localization Machine learning applications in geophysical data analysis Recent publications emphasize innovative methods for subsurface monitoring, including waveform analysis for hydraulic fracturing and wave-equation imaging techniques for earthquake source characterization. His research bridges traditional seismological methods with modern computational approaches. Professional activities include affiliations with UNM's Earth and Planetary Sciences department and active involvement in collaborative geophysical research projects. Current work continues to advance understanding of crustal processes through advanced imaging and data science methods.

Ismet Canbulatمشاهده پروفایل

استاد

• Rock Mechanics
• Mine Design
• Ground Control
• +۳ مورد دیگر

Professor Ismet Canbulat is the Head of the School of Minerals and Energy Resources Engineering at the University of New South Wales (UNSW Sydney) and holds the Kenneth Finlay Chair of Rock Mechanics. With over 30 years of experience spanning academia, industry, and consultancy, he leads strategic initiatives enhancing global partnerships and achieving a top-two QS ranking for UNSW's mining engineering program. His prior roles include Group Geotechnical Engineer at Anglo American and Principal Engineer at CSIR South Africa. His research focuses on rock mechanics , mine design , and geotechnical risk assessment , with emphasis on dynamic failures, coal burst mechanisms, and computational modeling. Recent work integrates AI for wildfire prediction, machine learning for stress estimation, and sustainable supply chain frameworks. His publications demonstrate a strong trend toward energy-based failure analysis, fracture network modeling, and environmental impact mitigation in mining. Awards & Honors: Syd S. Peng Ground Control Award (SME, USA) Southern African Institute of Mining and Metallurgy Gold Medal BBUGS Geotechnical Practitioner of the Year He leads large-scale research projects with significant industry funding, supervises ~12 PhD students, and directs laboratories focused on rock mechanics testing and geotechnical analytics. As a Fellow of Engineers Australia and the Australasian Institute of Mining and Metallurgy, he advises mining companies and governments on geotechnical challenges and policy development.

Amedeo Domenico Bernardo Manuello Bertettoمشاهده پروفایل

دانشیار

• Structural Health Monitoring
• Non-Destructive Testing
• Additive Manufacturing
• +۱۷ مورد دیگر

Amedeo Domenico Bernardo Manuello Bertetto is an Associate Professor at the Polytechnic University of Turin, Department of Structural, Building and Geotechnical Engineering (DISEG), and a member of the College of Architecture and Design. He is also part of the SISCON Interdepartmental Center for Infrastructure and Construction Safety and the Master's and Continuing Education School. His research focuses on structural integrity, non-destructive testing, and the stability of slender and historic structures. His research interests include: Structural Health Monitoring Non-Destructive Testing (Acoustic Emission) Instability of slender and long-span structures Additive and sustainable manufacturing Building sustainability Numerical modeling and computational engineering His recent publications reflect a strong trend in integrating computational methods—such as AI, generative design, and finite element modeling—with structural optimization of shells, arches, and gridshells. These works emphasize sustainability, reduced construction waste, and resilience in both modern and heritage structures. His research spans laboratory testing and real-world applications, including the Turin Cathedral and Notre-Dame de Paris. Scientific recognitions include: Keynote speaker at the IASS Tokyo Symposium (2016) International expert for the scientific restoration of Notre-Dame de Paris (CNRS-affiliated) He advises PhD student Jonathan Melchiorre on AI-driven structural optimization and leads multiple commercial research projects, including fire behavior analysis of structures and performance testing of fiber-reinforced concrete. He has no recorded grants listed, but his work is industry-funded and applied in real-world contexts. He is actively involved in organizing the Italian Workshop on Shells and Spatial Structures (IWSS) and collaborates with institutions like La Sapienza University and the Getty Foundation. He leads the Fracture Mechanics Laboratory at DISEG and the Monfron Site Lab, focusing on multi-parameter monitoring systems and in-situ material testing.

Arda Burak Ekmenمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Foundation Engineering
• Soil Mechanics
• +۷ مورد دیگر

Assoc. Prof. Dr. Arda Burak Ekmen is a faculty member at Harran University's Department of Civil Engineering, College of Engineering, with postdoctoral experience at the University of Birmingham (2024-2025). He specializes in geotechnical engineering, foundation design, and AI integration for soil modeling. Post-Doc: University of Birmingham (UK, 2024-2025) Research Visits: Cracow University of Technology (Poland, 2018-2019), West Pomeranian University of Technology (Poland, 2015) His research spans 3D lithological soil modeling , machine learning applications , finite element analysis , and quantum computing in geotechnical contexts. He pioneered realistic soil modeling techniques and AI-optimized foundation systems. Key Projects: TÜBİTAK 2219 Postdoctoral Research (2024-2025), ROAR-NET and ON-DEM COST actions (2025), MAIA COST action (2025) Recognized for his third-place award in the national Earthquake Resistant Building Design Competition (2015), he has presented at prestigious conferences like UKACM 2025 (Oxford/Queen Mary collaboration) and developed software for double major exam scheduling and geotechnical problem-solving .