Find Academic Supervisors

Chengbo AiView profile

Associate Professor

• Transportation Asset Management
• Pavement Preservation
• Roadway Safety
• +6 more

Dr. Chengbo Ai is an Associate Professor at the Department of Civil and Environmental Engineering , University of Massachusetts Amherst , specializing in transportation infrastructure and safety research. He holds a Ph.D. in Transportation Systems Engineering from Georgia Tech and a B.S. in Electrical Engineering from Peking University. Research Interests: Transportation Asset Management, Mobile LiDAR Applications, Roadway Safety Analytics, and Spatial Infrastructure Analysis Current Projects: Developing automated guardrail/sidewalk inventory systems, improving pedestrian infrastructure accessibility, and optimizing rail inspection methods Publications focus on integrating computer vision, machine learning, and geospatial technologies for infrastructure condition assessment. Recent work includes automated guardrail evaluation, rail gage inspection using consumer-grade devices, and pedestrian network analysis. Awards: Dwight David Eisenhower Transportation Fellowship recipients (2020-2022) Acorn Innovation Grant (2019) Best Poster Award at MassDOT Conference (2019) Students: Mentors Ph.D. researchers in pavement preservation, LiDAR processing, and transportation equity, with alumni working at FHWA, AECOM, and leading engineering firms Lab Facilities include advanced LiDAR systems (Theodore 1-3), dual-GPU workstations (Sullivan, Wazowski), and field vehicles like "Cynthia" for mobile mapping.

Simon BeckView profile

Researcher

• Wireless Power Transfer
• Wireless Communication
• Power Electronics
• +2 more

Simon Beck is a PhD researcher at the Laboratory for High Power Electronic Systems (ETH Zürich) , focusing on Wireless Power Transfer and Power Electronics . He received his BSc (2014) and MSc (2017) in Electrical Engineering from ETH Zürich, where he designed high-precision PWM schemes for modular multilevel converters in his Master's thesis. Born in Vaduz, Liechtenstein (1992) PhD research since 2021 on wireless energy transfer systems Co-founded an ICT company in Vaduz (2017), developing ERP/CRM applications and managing ISP-grade networking infrastructure His publications include studies on bidirectional converter topologies, modular converter communication schemes, and voltage precision optimization, presented at conferences like ECCE Europe and EPE'22 . Collaborations with Jürgen Biela and Simon Fuchs highlight his work in high-efficiency power electronic systems for railway and wireless charging applications.

• Outdoor Sound Propagation
• Community Noise
• Urban Acoustics
• +5 more

Jens Forssén is an Assistant Professor in the Department of Technical Acoustics , Vibroacoustics research group at Chalmers University of Technology . His work focuses on outdoor sound propagation , community noise , and urban acoustics , with a particular emphasis on the influence of meteorology , terrain , and soil properties on noise levels. Research Interests: Outdoor acoustics, urban soundscapes, road and train traffic noise, wind turbine noise, noise barriers, auralization techniques, and health impacts of environmental noise. Recent Trends: Analysis of low-frequency noise in urban environments, 3D noise mapping , digital twinning for urban design, and sonic crystal applications in noise reduction. Scientific Contributions: Publications on noise propagation models , auralization methods , traffic noise assessment , and health impact studies related to urban sound environments. Labs & Collaborations: Collaborates with the LISTEN project , SONORUS project , and HOSANNA project to develop urban noise mitigation strategies. His work includes partnerships with researchers like Wolfgang Kropp , Leon Müller , and Maarten Hornikx .

• Rail Transportation
• Control Systems
• Machine Learning
• +5 more

Bilal Abduraxman is a Researcher at Loughborough University, affiliated with the Control Systems Group. He holds a BEng, MSc in Advanced Systems and Control Engineering (University of Manchester, 2013), and a PhD in Aerospace Engineering (Cranfield University, 2018). Prior to joining Loughborough in 2020, he worked as a post-doctoral researcher at The University of Sheffield. His research focuses on rail transportation systems, including wheel-rail dynamics, machine learning applications for friction estimation, electrification strategies for energy efficiency, and underwater vehicle control systems. He also investigates pantograph-catenary systems and sustainable energy solutions in transportation. Publications highlight advancements in neural network-based friction coefficient estimation, optimal intermittent electrification models, and guidance algorithms for autonomous underwater vehicles. His work integrates experimental methods, high-fidelity simulations, and sensor technology to enhance rail safety and reduce environmental impact. Bilal contributes to the development of on-train low adhesion detection systems and has explored CO 2 emission reduction through electrification innovation. His interdisciplinary approach bridges mechanical engineering, control systems, and robotics.

Yuejian ChenView profile

Assistant Professor

• Dynamic Modelling
• Vibration Signal Processing
• Artificial Intelligence
• +5 more

Dr. Yuejian Chen is an Assistant Professor in the Department of Mechanical Engineering at the University of Manitoba's Price Faculty of Engineering. His research focuses on dynamic modelling, vibration signal processing, artificial intelligence, and prognosis/health management for complex systems like railway vehicles, wind turbines, and steam turbines. He holds a PhD from the University of Alberta (2020) and was a postdoctoral fellow there until 2021. Prior to joining the University of Manitoba in 2024, he served as an Assistant Professor at Tongji University's Institute of Rail Transit in China from 2021 to 2024. His research integrates digital twins and advanced health management methodologies to ensure safe and cost-effective operation of mechanical systems. Key areas include non-stationary vibration analysis, fault detection via AI (e.g., LSTM networks), and physics-informed machine learning. He has authored/co-authored over 60 publications and serves on editorial boards for journals such as IEEE Sensors Journal , IEEE Transactions on Instrumentation and Measurement , and Smart and Resilient Transportation . Dr. Chen's work bridges theoretical advancements with practical applications, emphasizing railway transportation and energy systems. His recent publications (2021–2025) highlight contributions to gearbox fault detection under variable speed conditions, multi-camera metro monitoring systems, and data-driven load identification strategies. His research trends emphasize fusion of physical principles with AI for robust diagnostics and health management across mechanical systems. He is actively recruiting graduate students interested in dynamic systems, signal processing, and AI applications in mechanical engineering. His research group collaborates with industry partners to address real-world challenges in machinery safety and efficiency.

Steven Seth HarrodView profile

Associate Professor

• Railway Engineering
• Operations Management
• Transportation Systems
• +4 more

Steven Seth Harrod is an Associate Professor at the Department of Engineering Technology and Didactics Production, Transportation and Planning at the Technical University of Denmark (DTU). His work focuses on railway engineering, operations management, and sustainable transportation systems contributing to UN SDGs related to infrastructure and education. He holds a PhD in Operations Management from the University of Cincinnati (2007), MSc degrees in Quantitative Analysis (University of Cincinnati) and Transportation (MIT), and a BSc in Mechanical Engineering from Trinity College Hartford. Research interests include railway scheduling, delay propagation modeling, predictive maintenance of rail infrastructure, and Industry 4.0 applications in transportation. His recent work explores covariate-dependent Markov processes for rail defect prediction and digitalization challenges in European rail systems. He supervises PhD projects on data-driven maintenance strategies and leads initiatives like the Green Mobility Shift (GMS) project. Recipient of the 2016 INFORMS Railway Application Section Student Paper Award for contributions to operations research in rail systems. Active in professional networks including INFORMS and collaborates on projects funded by Danish industry partners. Advises on railway dispatch systems (ODIN project) and mega-project accountability frameworks (CAMP initiative).

Felix PotView profile

Researcher

• Transport Geography
• Transportation Planning
• Regional Development
• +5 more

Dr. Felix Pot is a Postdoctoral Researcher in Transport Geography at the University of Groningen's Faculty of Spatial Sciences, Department of Economic Geography. His research focuses on transport equity, perceived accessibility, rural mobility challenges, and transport policy. He has contributed to projects like AccessCity4All, adapting the 15-minute city concept for accessibility. Notable awards include the RSAI Dissertation Award and WSTLUR Best PhD Dissertation. Pot frequently engages with media on Eurovision Song Contest geopolitics and transport-related issues. His work spans peer-reviewed journals and interdisciplinary collaborations. Education: PhD in Economic Geography (awarded 2024) Collaborations: NECTAR Network, European Transport Research Research interests emphasize bridging calculated and perceived accessibility metrics, particularly in rural areas. He explores how transport systems impact social exclusion and spatial development. Recent publications analyze high-speed rail decision-making paradigms and urban-rural travel distance perceptions.

Melody Khadem SameniView profile

Associate Professor

• Railway Operations
• Transportation Planning
• High Speed Railway
• +4 more

Melody Khadem Sameni is an Associate Professor of Rail Transportation Engineering and Programme Director of the MSc Railway Systems Engineering and Integration at the University of Birmingham Dubai Campus. She previously served as Assistant Professor and Head of the Railway Transportation Group at Iran University of Science and Technology. Her expertise spans railway operations, management, systems engineering, and sustainability. Education: PhD in Civil Engineering, University of Southampton, 2012 MSc in Socio-Economic Systems Engineering, Tarbiat Modares University, 2008 BSc in Railway Transportation Engineering, Iran University of Science and Technology, 2003 Her research focuses on optimizing railway operations through systems engineering approaches, addressing capacity, demand analysis, safety, and sustainability. Notable contributions include work on railway noise impacts, high-speed rail demand forecasting, and gender differences in transportation preferences. She actively collaborates with global organizations like the International Union of Railways (UIC) and International Association of Public Transport (UITP). Awards include the ICE Best Innovative Poster Award and a University of Southampton personal development award. She has chaired sessions at major conferences such as WCRR and TRB, and served as a panellist for UITP Women in Public Transport 2024. Her publications span topics like railway capacity optimization, environmental impact assessments, and post-pandemic transport behavior. She holds leadership roles in academic committees, including Co-Chair of Special Interest Group A3 (Rail Transport) at the World Conference on Transport Research Society.

Rudolf JuchelkaView profile

Professor

• Economic Geography
• Transport Geography
• Logistics
• +4 more

Prof. Dr. Rudolf Juchelka is a Professor of Economic Geography, Transport & Logistics at the Institute of Geography , University of Duisburg-Essen, Germany. He has held this position since 2001 and served as governing director of the institute. His work focuses on economic geography transport systems logistics networks urban redevelopment sustainable mobility globalization impacts Educational Background: Geography, Economics, German Studies, Education at RWTH Aachen and University of Bonn PhD in Geography (1997) from RWTH Aachen Habilitation (2004) in Geography at RWTH Aachen His research interests span economic and transport geography, with emphasis on logistics clusters, sustainable mobility, urban cable cars, airport cities, and structural change in industrial regions. His publications highlight trends in logistics networks, urban transport, and globalization’s effects on transport hubs like Dubai. Recent work includes studies on micro-mobility and urban freight optimization. Scientific Awards: Diversity Prize, UDE (2017) Teaching Award, UDE (2008) BMW Scientific Award (1995) He advises institutions on transport and logistics , including the German Savings Bank Association (DSGV) and regional governments. His lectures cover topics like urban cable cars, mobility transitions, and global logistics trends. He is involved in institutions like the Zentrum für Logistik und Verkehr (ZLV) and the Deutsche Gesellschaft für Geographie .

• Analog Circuit Design
• Feedback Amplifier Analysis
• Semiconductor Device Modeling
• +3 more

Howard T. Russell, Jr. is an Associate Professor in the Department of Electrical Engineering at the University of Texas at Arlington. With a PhD from Santa Clara University (1976) and prior academic experience as an Adjunct Lecturer there (1973-2001), his expertise lies in analog circuit design, semiconductor device modeling, and feedback amplifier analysis. He founded OPAL Engineering, Inc. (1983-2000) to provide industry-focused analog design training. PhD, Electrical Engineering, Santa Clara University (1976) MSEE, BSEE, Texas A&M University (1967, 1966) Research focuses on precision analog circuits, including current mirrors, feedback amplifiers, and SPICE modeling. His work addresses thermal effects in dielectrically isolated bipolar technology and advanced translinear element applications. Publications span from 1970 to 2014, reflecting sustained contributions to analog electronics. Recent articles emphasize feedback circuit simulation methods, high-speed analog design, and thermally compensated architectures. His 2014 publication on VCVS-terminated subnetworks demonstrates modern analysis approaches. Adjunct Lecturer of the Year, Santa Clara University (1990) Recognized Professor, Phi Kappa Phi (2009) United States Patent: All-NPN Precision Current Mirror (2009) Teaching spans circuit theory, analog electronics, and semiconductor physics across 28 years. Courses include undergraduate and graduate levels with emphasis on hands-on lab work and simulation tools (MatLab, SPICE).

• Urban Planning
• Sustainable Development
• Negotiation Theory
• +5 more

Laurence de CARLO is a full-time Professor at ESSEC Business School, specializing in Urban Planning, Sustainable Development, and Negotiation Theory within the School of Law, Political Science & Society. He holds a Ph.D. in Urban and Regional Planning from Université de Montréal (1994), a Master in Marketing Management from ESSEC (1987), and a Civil and Urban Planning Engineering degree from INSA Lyon (1986). His career includes roles as Chaired Professor (2014-2019), Associate Professor (1999-2005), and Assistant Professor (1994-1999). He also served as a Visiting Scholar at Harvard University (2001). Key professional activities include founding the CONNECT Centre (2014-2019) and co-chairing the Urban Economy Chair at ESSEC. Research focuses on negotiation dynamics, participatory democracy, and sustainable urban development. Notable works include analyzing energy cooperatives in the UK, trust in Nordic participatory planning, and teaching negotiation through paradoxes. He has published extensively in journals like Ecological Economics and Negotiation Journal . Teaching spans courses on urban management, energy transition, and water governance. He has advised numerous Master’s projects and contributed to pedagogical innovations like the Responsible Leadership SPOC module on climate change (2019-2020). Professional service includes editorial roles for Negotiations , membership in the International Association for Conflict Management, and roles in French environmental policy committees. His work bridges academic research with practical urban policy challenges, emphasizing creative conflict resolution and participatory methodologies.

Omid MirmotahariView profile

Associate Professor

• Computer Science
• Artificial Intelligence
• Pedagogy
• +7 more

Dr. Omid Mirmotahari is an Associate Professor at the Department of Informatics , University of Oslo, specializing in teaching and research at the intersection of computer technology , pedagogy , and low-voltage circuit design . He has held academic roles since 2010, including positions in Robotics and Intelligent Systems and Study Lab . Academic Appointments : 2010–present (Associate Professor, Study Lab); 2008–2010 (Associate Professor, Robotics) Education : PhD in Nanoelectronics (2008), Cand.Scient in Microelectronics (2003), Cand.Mag in Computer Science (2002) His research spans two major areas: pedagogy (improving student engagement, peer review systems, and AI integration in education) and nanoelectronics (ultra-low-voltage CMOS logic, domino circuits, and energy-efficient amplifier designs). Recent work focuses on the environmental paradox of AI and gamification for STEM education. His 15 most recent publications (2025–2018) highlight trends in: AI ethics and sustainability Automated feedback systems Low-voltage circuit innovations Peer/self-assessment frameworks STEM outreach programs Digital learning environments (Canvas LMS) Scientific Awards : 2024: UiO Utdanningspris (Education Prize) 2013: Årets Foreleser (Student-Nominated) 2009: Best Paper Award, IMECS 2009: NFA Prize for STEM outreach 2006: NOKUT Utdanningskvalitetspris He actively contributes to student organizations (co-founder of MIKRO, dagen@ifi) and commercialization through board roles in industry. His work with the Robotics and Intelligent Systems group and Nanoelectronics research has yielded over 25 peer-reviewed publications.

Will MidgleyView profile

Senior Lecturer

• Mechatronics
• Robotics
• Control Engineering
• +7 more

Dr. Will Midgley is a Senior Lecturer in Mechatronics and Robotics within the School of Mechanical and Manufacturing Engineering at the Faculty of Engineering, UNSW Sydney. His research focuses on applying control engineering principles to address critical challenges in transport decarbonization and vehicle systems optimization. His educational background includes: PhD from Cambridge University Dr. Midgley's research interests span multiple domains at the intersection of mechanical engineering, control systems, and artificial intelligence. He specializes in mechatronic systems design, robotics applications for transport, and advanced control techniques for reducing emissions from heavy goods vehicles and rail systems. His work integrates applied machine learning and deep learning approaches to solve real-world engineering challenges, particularly in vehicle safety applications and property estimation through machine vision. A significant portion of his research focuses on electric vehicle control systems and the decarbonization of transportation networks, addressing one of the most pressing environmental challenges of our time. Dr. Midgley has received several prestigious awards recognizing his contributions to engineering research: IMechE T A Stewart-Dyer Prize/Frederick Harvey Trevithick Prize for "the most meritorious paper on the subject of railway engineering" (2022) Fellowship of the Higher Education Academy (now AdvanceHE) (2020-) Best Poster Award, Intelligent Fluid Power Transmission and Control, University of Bath (2019) 2012 SAGE Highly Commended Paper for "Comparison of regenerative braking technologies for heavy goods vehicles in urban environments" (2013) Dr. Midgley has secured significant research funding for his innovative projects, including "Don't Forget the Mortar! A New Approach to Engineering Education" (£65,000, Royal Academy of Engineering, 2022-23), "Optimisation of Intermittent Electrification of Rail Transport for Near-Term Decarbonisation" (£37,000, DTE Network+, 2021-22), "Tyre-Road Friction Estimation using Maximum Entropy" (£24,000, EPSRC, 2021-22), and "Decarbonising High-Speed Bi-Mode Railway Vehicles through Optimal Power Control" (£158,000, RSSB, 2019-20). His research program demonstrates a strong commitment to translating theoretical advances into practical solutions for sustainable transportation. Dr. Midgley maintains an active research group focused on mechatronics, robotics, and applied machine learning, supervising students in areas of applied control, applied mechatronics, and applied machine learning. His international research experience includes work at Mitsubishi Heavy Industries in Japan and Loughborough University in the UK before joining UNSW Sydney.

Ahmet CürebalView profile

Researcher

• Operations Research
• Linear Programming
• Mixed-Integer Programming
• +5 more

Ahmet Cürebal is an External Doctoral Researcher at the Institute of Information Systems, part of the Business School at the University of Hamburg. He holds B.S. and M.S. degrees in Industrial Engineering from Kirikkale University, Turkey, and is currently pursuing his Ph.D. His research focuses on Operations Research with specializations in Linear Programming (LP), Mixed-Integer Programming (MIP), Combinatorial Optimization, Scheduling, Assignment, and Routing problems within Supply Chain contexts. Key research interests include solving real-world optimization challenges such as staff scheduling in retail sectors, driver workload balancing in logistics firms, and pandemic-era security personnel allocation. His work often involves applying metaheuristic methods like Variable Neighborhood Search (VNS) and Fixed Set Search (FSS) to complex operational problems. Notable publications explore applications such as straddle carrier routing in container terminals, bus route optimization for high-speed rail integration, and competency-based scheduling during crises. His methodologies frequently integrate Goal Programming and Analytical Network Process (ANP) for multi-criteria decision-making scenarios. Cürebal’s research demonstrates a strong emphasis on practical implementations across diverse industries, including healthcare, logistics, and retail, with a focus on balancing efficiency and real-world constraints through advanced mathematical modeling and algorithmic approaches.

• Computational mechanics
• Nonlinear dynamics
• Numerical methods
• +4 more

Mettupalayam Sivaselvan is a Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on computational mechanics, nonlinear dynamics, numerical methods, optimization techniques, and control systems for dynamic hybrid testing. He holds a PhD in Civil Engineering from the University at Buffalo (2003), an MS from the same institution (1999), and a BTech from the Indian Institute of Technology Madras (1997). Research Interests: Dr. Sivaselvan’s work spans advanced simulation techniques for structural systems, including real-time hybrid testing, impedance-matching control strategies, and dynamic substructuring. His studies address challenges in nuclear power plant equipment qualification, seismic isolation, railway-structure interactions, and biomedical applications such as red blood cell dynamics. He has pioneered methods for improving the accuracy and efficiency of shake-table and model-in-the-loop simulations. Key Contributions: His research integrates computational models with experimental testing frameworks, enabling safer design of structures under extreme conditions like earthquakes and fire. Notable projects include seismic qualification of HTGR equipment and optimization of vehicle-track-structure systems for high-speed rail. Labs & Facilities: He is affiliated with the University at Buffalo’s NEES (Network for Earthquake Engineering Simulation) facility, leveraging its advanced testing infrastructure for large-scale hybrid simulations.