جستجوی استاد راهنمای دانشگاهی

Mohammad Zulkernineمشاهده پروفایل

استاد

• Cyber-Physical System Security
• Software Reliability
• Security Engineering
• +۶ مورد دیگر

Dr. Mohammad Zulkernine is a Full Professor and Canada Research Chair in Cyber-Physical System Security at Queen’s University’s School of Computing (Faculty of Arts and Science). He leads the Queen’s Reliable Software Technology (QRST) research group and directs the Queen’s Centre for Security & Privacy. His research focuses on secure software systems for cyber-physical systems, including autonomous vehicles, IoT, and cloud computing. Dr. Zulkernine holds a cross-appointment in Electrical and Computer Engineering and is a licensed Professional Engineer in Ontario. Education: BSc (Bangladesh BUET), MEng (Japan), PhD (University of Waterloo). He joined Queen’s in 2003 and has held sabbaticals at University of Trento, Italy and Irdeto Canada. He has published over 250 papers, led 35+ research projects, and supervised 120+ students. Awards include Canada Research Chairs (Tier I and II), Queen’s Excellence in Graduate Supervision Award, and Distinguished Supervision Award from the School of Computing. Research Interests: Cyber-Physical System Security, Software Reliability, IoT Security, Vehicle Networks, Secure Software Engineering, and Cybersecurity Risk Assessment. Active industry collaborations include EU-funded projects and Canada-Africa initiatives.

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

Albert Lau is an Associate Professor of Civil and Environmental Engineering at the Norwegian University of Science and Technology (NTNU), located in Trondheim, Norway. He specializes in railway engineering, structural dynamics, and transportation systems. Lau holds leadership roles as the Study Program Leader for the MSc in Road, Railway, and Transportation Engineering, overseeing curriculum development and program coordination. His research focuses on railway track design, dynamic modeling of train-track interactions, and infrastructure maintenance, with projects such as the MeTinT initiative (Measurement with Train in Regular Traffic). He has extensive experience supervising master’s and PhD students, and his work emphasizes innovation in rail infrastructure and sustainable transportation solutions. Education and Professional Background: Lau earned his PhD from NTNU in 2018, focusing on numerical simulations of railway turnouts. Prior roles include Postdoc (2018–2020) and Assistant Professor (2017–2018) at NTNU, and teaching at Oslo Metropolitan University (2020). His industry experience includes roles as a Design Engineer (2010–2012) and Project Engineer (2013–2014) in Malaysia, where he managed construction projects and structural design. Research Interests: Lau’s work spans railway track dynamics, infrastructure health monitoring, and machine learning applications in transportation. Key projects include developing digital twins for railway test sites and analyzing ground displacement impacts on track anomalies. His contributions to the Road, Railway and Transport Group at NTNU aim to advance rail safety and efficiency through interdisciplinary approaches. Teaching and Outreach: Lau coordinates courses such as TBA4225 (Railway Engineering) and BA6012 (Fundamental Railway Technology). His outreach includes expert commentary on railway incidents, such as an interview on NRK (2024) discussing potential causes of a train accident. Current initiatives focus on revitalizing regional rail services and optimizing train positioning systems.

Eugene O'Brienمشاهده پروفایل

استاد

• Structural Engineering
• Bridge Safety Assessment
• Traffic Load Modeling
• +۲ مورد دیگر

Professor Eugene O'Brien serves as Professor of Civil Engineering within the School of Civil Engineering at University College Dublin's College of Engineering and Architecture. His research focuses on critical structural assessment methodologies for long-span bridges, with particular expertise in traffic load modeling and bridge safety evaluation. His research interests center on structural engineering challenges related to bridge infrastructure, specifically traffic load assessment for long-span bridges , structural health monitoring systems , and sustainable infrastructure management . Professor O'Brien pioneered camera-based monitoring techniques to overcome limitations of traditional Weigh-in-Motion sensors during congested traffic conditions, enabling more accurate safety assessments of aging bridge infrastructure. His work addresses the critical gap in quantifying traffic loading on bridges with spans up to 2 kilometers, where conventional methods fail during stop-and-go traffic scenarios. Analysis of his 15 most recent publications reveals a consistent research trajectory focused on probabilistic modeling of traffic loads, with increasing sophistication in handling extreme events and long-term infrastructure performance. His work spans fundamental statistical methods for load effect prediction, practical applications in real-world bridge assessments, and environmental considerations regarding infrastructure carbon footprints. The research demonstrates strong methodological evolution from basic traffic modeling to comprehensive lifetime assessment frameworks incorporating sustainability metrics. As co-founder and director of Roughan O'Donovan's subsidiary Innovative Solutions (ROD-IS), Professor O'Brien has translated research into practice through significant projects including the Malahide Railway Viaduct assessment (2009), EU-funded bridge lifespan simulation tools (2011), vibration reduction systems for bridge cables, and structural assessments for major international projects including the Ting Kau Bridge in Hong Kong, the Forth Road Bridge in Scotland, and the Chacao Channel Bridge in Chile. His consultancy work demonstrates direct application of academic research to critical infrastructure challenges worldwide. Professor O'Brien's research group operates at the intersection of structural engineering and sustainable infrastructure management, with particular emphasis on extending bridge service life through accurate safety assessment. Their work on the Chacao Channel Bridge demonstrates practical implementation of traffic monitoring systems using toll data to manage truck loads, while their environmental impact analysis shows how accurate safety assessments reduce unnecessary bridge replacements, thereby lowering the carbon footprint of transportation infrastructure through extended service life of carbon-intensive materials like concrete and steel.

• Climate Change Adaptation
• Infrastructure Resilience
• Risk Analysis
• +۵ مورد دیگر

Jim Hall is a Professor of Climate and Environmental Risk at the University of Oxford's School of Geography and the Environment, and serves as Director of Research there. He is also a Visiting Fellow at Linacre College and holds leadership roles including Chair of the Science Advisory Committee at IIASA, and Expert Advisor to the UK's National Infrastructure Commission. His work focuses on systemic risk analysis, infrastructure resilience, and policy implications of climate change adaptation. Prof Hall has pioneered methodologies like the National Infrastructure Systems Model (NISMOD) and chairs the Data and Analytics Facility for National Infrastructure (DAFNI). His research spans flood risk management, energy systems decarbonization, and transboundary water resource conflicts in regions such as the Eastern Nile Basin and the Caribbean. Key research areas include robust decision making under uncertainty, info-gap theory applications, and integrated assessments of human-environmental systems. He has contributed to major international assessments, including the IPCC's Fourth Assessment Report, and developed frameworks for multi-hazard stress testing of infrastructure networks. Scientific Awards: George Stephenson Medal (2001), Prince Sultan Prize for Water (2018), Royal Academy of Engineering Fellowship (2010) His advising and grants work includes mentoring a DPhil student Erin Canning and leading projects like MARIUS and ENHANCE. He has also developed innovative modeling tools for coastal erosion prediction and probabilistic assessments of global shipping fuel transitions. Prof Hall’s research groups actively engage in interdisciplinary projects, including the Oxford Martin Programme on Resource Stewardship and the UK Infrastructure Transitions Research Consortium. His work emphasizes bridging scientific analysis with actionable policy solutions for climate adaptation.

Jiaoyang Liمشاهده پروفایل

استادیار

• Multi-Robot Coordination
• Artificial Intelligence
• Planning and Scheduling
• +۵ مورد دیگر

Jiaoyang Li is an Assistant Professor at the Robotics Institute, Carnegie Mellon University , where she leads research in large-scale multi-robot coordination. She earned her Ph.D. in Computer Science from the University of Southern California (2022) under Professor Sven Koenig and holds a B.Eng. in Automation from Tsinghua University (2017) . Ph.D. (2022): University of Southern California B.Eng. (2017): Tsinghua University Research Focus : Jiaoyang Li's work centers on algorithms for multi-robot coordination in dynamic environments. Key areas include: Multi-Agent Path Finding (MAPF) Lifelong Planning for Autonomous Systems Kinodynamic Motion Planning Warehouse and Transportation Automation Human-Robot Collaboration Integration of Planning and Machine Learning Swarm Robotics Publication Trends : Recent work spans 2023-2025 , showing emphasis on: Scalable coordination for 10,000+ robots Bézier curve optimization for dual-arm assembly Diffusion models in multi-robot motion planning Guidance graph optimization for airport/railway traffic Multi-objective search in warehouse automation Temporal plan graphs for switchable passing orders Scientific Honors : ICAPS-24 Best Student Paper Award Three top dissertation awards (ICAPS-23, IFAAAMAS, USC) 2023 League of Robot Runners champion Outstanding student paper award at ICAPS-20 Technology Commercialization Award from USC Student Leadership : Advises 5 Ph.D. students and 1 Master's student at CMU, with alumni now at MIT (Ying Feng) and USC (Yimin Tang). Collaborates with visiting students from National University of Singapore and Tsinghua University. Lab Affiliation : Directs the Artificial Intelligence for Robot Coordination at Scale (ARCS) Lab , focusing on: Warehouse automation with thousands of robots Multi-arm LEGO assembly systems Railway coordination algorithms Cooperative assembly with multiple manipulators

Niels van Oortمشاهده پروفایل

دانشیار

• Public Transport Planning
• Data-Driven Design
• Transport Sustainability
• +۵ مورد دیگر

Niels van Oort is an Associate Professor of Public Transport at Delft University of Technology (TU Delft), co-director of the Smart Public Transport Lab, and affiliated with the Department of Transport & Planning within the Faculty of Civil Engineering and Geosciences. His work focuses on public transport planning, data-driven design, and societal impacts including inclusiveness, land-use, and sustainability. He holds a dual role as a part-time consultant via his company Van Oort Mobility Consultancy since 2020. Education: MSc in Public Transport from TU Delft (2003), PhD in Service Reliability in Public Transport (2011). Professional experience includes roles at HTM (public transport operator), MIT (2009), and Goudappel Coffeng consultants (2007–2012). Transitioned to academia as a part-time assistant professor at TU Delft in 2012, becoming full-time in 2018. Research emphasizes network optimization, timetable reliability, micromobility, and first/last mile solutions. Key areas include pandemic impacts on transport behavior, digital inequality in mobility access, and sustainable transport policies. Supervises PhD students on integrated networks and passenger behavior. Teaching includes courses on public transport operations, advanced modelling, and transport networks. Active in academic publishing and conferences, with over 20 peer-reviewed articles since 2010. Engaged in interdisciplinary labs like SUM Lab (Smart Urban Mobility) and contributes to public discourse through media and consultancy. Labs/Teams: Smart Public Transport Lab (co-director), SUM Lab, and Delft Transport Modelling Group. Grants and projects focus on data-driven solutions for public transport efficiency and equity.

Behzad Fatahiمشاهده پروفایل

استاد

• Unsaturated Soil Mechanics
• Dynamic Soil-Structure Interaction
• Ground Improvement Techniques
• +۶ مورد دیگر

Professor Behzad Fatahi is a distinguished academic in Civil and Environmental Engineering at the University of Technology Sydney (UTS), specializing in geotechnical engineering, railway infrastructure, and sustainable construction technologies. With a career spanning over 16 years at UTS, he has served as Deputy Head of School - Teaching and Learning (2024-present), Head of Discipline (2020-2024), and School Research Coordinator (2012-2017). His research focuses on unsaturated soil mechanics , dynamic soil-structure interaction , and green infrastructure solutions . Academic Appointments : Professor (2024-present), Associate Professor (2017-2024), Senior Lecturer (2011-2017), Lecturer (2008-2011) Research Leadership : Supervised 21 PhD students to completion, developed groundbreaking techniques for landfill waste reuse and tyre-derived aggregates in railway construction His work on seismic resilience of LNG tanks and bioengineered soil stabilization has received international recognition, including the 2023 Best Research Paper Award at the Australasian Association for Engineering Education conference. Professor Fatahi's industry experience includes geotechnical engineering roles at Coffey International and SES Engineering prior to academia. Key Research Contributions : Developed green corridor models for railway lines using coupled flow-deformation equations Pioneered AI-integrated teaching frameworks for civil engineering education Advanced machine learning techniques for intelligent compaction and structural buckling analysis As a Category 1 supervisor , he mentors graduate researchers in Civil Engineering , Geomechanics , and Earthquake Engineering . His peer-reviewed work (>240 publications) demonstrates technical excellence and innovation across multiple geotechnical domains.

• Contact Mechanics
• Tribology
• Advanced Manufacturing
• +۵ مورد دیگر

Hongtao Zhu is an Associate Professor at the University of Wollongong (UOW), Australia, affiliated with the School of Mechanical, Materials, Mechatronic and Biomedical Engineering. He holds a PhD from Northeastern University (China) and has held academic positions at UOW since 2002, progressing from Research Fellow (2002–2013) to Senior Lecturer/Lecturer (2013–2022) before becoming an Associate Professor in 2022. His research focuses on Contact Mechanics , Tribology , Advanced Manufacturing , and Computational Material Science . Notable contributions include studies on rail-wheel contact systems, high-entropy alloys, and friction reduction in manufacturing processes. He has authored/co-authored over 230 publications with an H-index of 38 (Scopus) and secured $2.2M in industry grants. Zhu leads the 'Wheel and Rail Contact System' research group, collaborating with major railway industries. He has supervised 22 PhD students (6 as principal supervisor) and currently oversees 5 PhD candidates. His professional roles include editorial board memberships for journals like Advances in Materials Science and Engineering and service as an assessor for funding bodies in Australia, Chile, Poland, and the Czech Republic. Key achievements include securing 5 ARC Discovery Projects, 3 ARC Linkage Projects, and industry collaborations with organizations like Sydney Trains and Comsteel. His work addresses critical challenges in rail infrastructure durability, material optimization, and sustainable manufacturing.

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.

• Earthquake Engineering
• Structural Dynamics
• Numerical Modeling
• +۷ مورد دیگر

Prof. Dr. Ercan Yüksel is a full Professor in the Department of Civil Engineering at Istanbul Technical University (ITU), College of Engineering. He has been a faculty member at ITU since 1990, progressing from Assistant Professor to Professor in 2017. His research focuses on earthquake engineering, structural dynamics, and numerical modeling, with applications in seismic design, energy dissipation, and structural health monitoring. PhD, Civil Engineering, Istanbul Technical University MS, Structural Engineering (with thesis), Istanbul Technical University BS, Civil Engineering, Istanbul Technical University His research interests are centered on earthquake engineering , particularly seismic input energy analysis , energy dissipation systems , reinforced and precast concrete structures , and seismic isolation . He actively investigates the dynamic behavior of structures under earthquake loads and develops innovative solutions for improving structural resilience. His work integrates advanced numerical modeling with experimental validation. Recent publications (2023–2025) highlight a strong focus on energy-based seismic design, performance of mechanical couplers, damping systems for high-voltage insulators, and fatigue behavior of railway tracks. These works are closely tied to real-world seismic events like the 2023 Kahramanmaraş earthquake, demonstrating applied and impactful research. His scientific recognition includes: Notable Work Award, Turkish Academy of Sciences (TÜBA), 2012 Golden Beam Award, Turkish Prefabricated Association, 2011 Prof. Yüksel is an active Principal Investigator on multiple research projects funded by ITU’s BAP program, covering topics such as smart sleepers for railway monitoring, novel seismic input energy spectra, and earthquake isolation for racking systems. He has supervised numerous theses and is involved in professional organizations including UNESCO-IPRED and the Turkish Earthquake Foundation. He leads research on structural health monitoring of ballasted railway lines using smart sleeper technology and is developing earthquake isolation systems for industrial storage racks. His lab integrates experimental testing with numerical simulation to validate new structural components under cyclic and biaxial loading.

Yuping Heمشاهده پروفایل

استاد

• Autonomous Driving
• Vehicle System Dynamics
• Vehicle Chassis Design
• +۷ مورد دیگر

Dr. Yuping He is a Professor in the Department of Automotive and Mechatronics Engineering at the University of Ontario Institute of Technology (UOIT). He holds a PhD in Mechanical Engineering from the University of Waterloo (2002) and has extensive academic and industry experience, including postdoctoral fellowships at the University of Windsor and University of Waterloo. His research focuses on autonomous driving, vehicle dynamics, chassis design, and active safety systems, with expertise in modeling and simulation techniques. Education: PhD (Mechanical Engineering), University of Waterloo, 2002 MASc (Automotive Engineering), Tsinghua University, China, 1991 BASc (Automotive Engineering), Hubei Automotive Industries Institute, China, 1985 Research interests include automated design synthesis, multidisciplinary optimization, and driver-hardware-in-the-loop simulations. He has contributed to advancements in heavy vehicle stability control, trailer steering systems, and energy-saving strategies for steer-by-wire vehicles. His work bridges mechanical systems, control engineering, and real-time simulation technologies. Awards include the 2010 Research Excellence Award from UOIT’s Faculty of Engineering and Applied Science, and a nomination for the Governor-General’s Gold Medal (2003). His publications span journals like Vehicle System Dynamics and ASME Journal of Computational and Nonlinear Dynamics , with a focus on improving vehicle safety and performance through advanced control strategies. Advising and Grants: Dr. He has advised student teams in capstone projects, including the 2010 FEAS Capstone Design Competition-winning team. His research integrates industrial collaboration, as seen in roles like Senior Product Engineer at American Axle & Manufacturing (2005). His work emphasizes practical applications in automotive and mechatronic systems.

• Transport Modelling
• Economic Analysis of Transport
• Sustainable Transportation
• +۳ مورد دیگر

Anders Karlström is a Professor at KTH Royal Institute of Technology, specializing in Transport Modelling and Economics. His research focuses on sustainable transportation systems, emissions reduction, and energy efficiency. Key interests include activity-based modelling, dynamic discrete choice frameworks, and policy analysis for urban mobility. He has contributed to studies on travel behavior, infrastructure planning, and environmental impacts of transport systems across multiple international cities. His work integrates advanced methodologies such as recursive logit models, spatial regression, and machine learning for predictive analytics. Notable research areas involve evaluating weather variability effects on travel patterns, optimizing traffic state estimation with sensor data, and developing scenario-based models for future employment growth. Karlström collaborates with industries to enhance the competitiveness of sustainable transport solutions globally.

• Railway Noise and Vibration
• Acoustic Engineering
• Structural Dynamics
• +۳ مورد دیگر

Professor David Thompson is a globally recognized expert in railway noise and vibration reduction at the University of Southampton's Institute of Sound and Vibration Research (ISVR). He holds a part-time role in ISVR Consulting while continuing full-time research. His research focuses on low-noise railway design, ground vibration control, and aerodynamic noise from high-speed trains. He leads collaborative EU projects and advises industry partners. David earned his MA and PhD from the University of Cambridge and the ISVR, respectively. His career includes roles at British Rail Research and TNO in the Netherlands, where he developed the influential TWINS rolling noise model. He has authored over 250 papers and a seminal textbook translated into Chinese, with a second edition in 2024. Awards include the 2018 Rayleigh Medal for outstanding contributions to acoustics. Research Highlights: Modelling noise sources (rolling, aerodynamic, curve squeal), vehicle interior noise transmission, and ground-borne vibration. Collaborations: Partnerships with EU initiatives, Korean Railroad Research Institute, and Chinese universities. Teaching: Courses on noise control engineering, railway systems, and acoustic design. His work bridges theoretical models with practical solutions, aiming to reduce railway noise through innovative designs and mitigation strategies.

Hossein Alizadeh Otorabadمشاهده پروفایل

پژوهشگر ارشد

• Railway Engineering
• Finite Element Analysis
• Elasto-plastic Analysis
• +۵ مورد دیگر

Dr. Hossein Alizadeh Otorabad is a Research Fellow at the Department of Engineering, School of Computing and Engineering, University of Huddersfield. He joined the Institute of Railway Research (IRR) in 2019 and was promoted to Research Fellow in 2022. His work focuses on finite element analysis, railway engineering, and thermal dynamics in wheel-rail interactions. BSc in Solid Mechanics, Tehran Polytechnic University MSc in Applied Mechanics, Khajeh Nasir Toosi University (2002) PhD in Railway Engineering (2018), focusing on wheel-flat fatigue crack initiation His research expertise spans Railway Engineering , Finite Element Analysis , and Thermal Modeling , with a particular focus on wheel-flat dynamics and fatigue analysis. He has contributed to studies on dynamic load effects in railway crossings, temperature evolution during wheel flat formation, and elasto-plastic behavior in railway wheels. Recent publications show a strong emphasis on Railway Systems (2018-2024), covering topics like: Dynamic load prediction in crossings Thermal analysis of wheel-rail sliding Contact mechanics in flatted wheels Fatigue life evaluation under transient loads His work aligns with UN Sustainable Development Goals for sustainable infrastructure and transportation systems. Scientific Recognition: h-index of 31 (Scopus metrics) 16+ citations for elasto-plastic wheel analysis Contributions to key railway engineering conferences At IRR, he conducts FE analysis, laboratory/field testing of railway assets, hammer testing, and signal processing. He previously received funding from Iran's Ministry of Science for sabbatical research at TU Delft's Material Science and Engineering department.

Sebastijan Dumancicمشاهده پروفایل

استادیار

• Program Synthesis
• Probabilistic Programming
• Neuro-Symbolic AI
• +۲ مورد دیگر

Sebastijan Dumancic is an Assistant Professor at Delft University of Technology, focusing on neuro-symbolic AI through program synthesis and probabilistic programming. He leads the RAIL lab and collaborates with institutions like Harvard, MIT, and CNRS. His research bridges symbolic AI and machine learning, applying program synthesis to scientific discovery, transportation, and robotics. He holds an FWO-funded PhD from KU Leuven and has participated in initiatives like ELLIS and the Symbolic Computation and Machine Learning Initiative. Program synthesis Probabilistic programming Neuro-symbolic AI Constraint-based learning His recent articles highlight advancements in program synthesis, neuro-symbolic integration, and constraint satisfaction. Projects like Find2Fix and Intelligent Greenhouse Horticulture (funded by NWO) demonstrate practical applications. ELLIS Membership University Teaching Qualification He supervises numerous MSc and PhD students in projects involving logic programming, program synthesis, and probabilistic modeling. Active in workshops and symposia, he contributes to neuro-symbolic AI and scientific discovery.