Find Academic Supervisors

• Transportation Planning
• Traffic Engineering
• Public Transport Integration
• +9 more

Assoc. Prof. Dr. Murat Ergün currently serves at Istanbul Technical University's Faculty of Civil Engineering, Department of Civil Engineering, specializing in transportation planning, traffic engineering, and sustainable infrastructure. He holds a PhD in Transportation Engineering and has contributed extensively to urban mobility, pavement engineering, and risk assessment in transportation systems. PhD (1993): Transportation Engineering, Istanbul Technical University MSc (1985): Transportation Engineering (Mixed), Istanbul Technical University BSc (1981): Civil Engineering, Uludağ University His research focuses on GIS integration for spatial transport analysis, centroid optimization in planning, and sustainable asphalt materials. Recent projects include risk assessment for urban roadside assets and dynamic creep analysis of polymer-modified asphalt. Collaborations with İ. Adalıoğlu dominate his 2025 publications. Key projects span from 2005 BAP initiatives to 2025 studies on autonomous vehicles in public transport. Though no specific scientific awards are listed, his Scopus h-index of 8 reflects significant scholarly impact.

Anne BENOITView profile

Associate Professor

• High-Performance Computing (HPC)
• Multi-criteria scheduling algorithms
• Resource optimization
• +4 more

Anne BENOIT is an Associate Professor of Computer Science at École normale supérieure de Lyon (ENS de Lyon), affiliated with the Parallel Computation Laboratory (LIP) and the ROMA project. She holds leadership roles, including Chair of the IEEE Technical Community on Parallel Processing (2020–2024) and IUF Senior Membership (2023–2028). Her research focuses on multi-criteria scheduling algorithms for HPC, addressing performance, cost, energy, and reliability challenges. She earned a PhD in Systems and Communications from INPG Grenoble (2003) and an HDR (2009). Research Interests : Her work integrates scheduling optimization, fault tolerance, and energy efficiency in HPC systems. She designs resilient protocols to manage failures and uncertainties, particularly in heterogeneous environments. Key topics include checkpointing strategies, workflow scheduling on edge platforms, and balancing conflicting optimization criteria. Awards & Roles : Senior Member of the Institut Universitaire de France (2023) Guest Professor at Georgia Tech (2017–2018) Associate Editor-in-Chief of Elsevier JPDC and ParCo IEEE Senior Member Professional Contributions : Chair of major conferences like IPDPS and HiPC. Authored A Guide to Algorithm Design (CRC Press, 2013). Leads the Computer Science Department at ENS Lyon since 2022. Labs & Projects : Active in the ROMA project (Resource Optimization) and the LIP laboratory, focusing on parallel computation and algorithmic efficiency.

• Transport Planning
• Traffic Simulation
• Intelligent Transport Systems (ITS)
• +3 more

Dr. Mark Raadsen is a Postdoctoral Research Fellow at the University of Sydney's Institute of Transport and Logistics Studies (ITLS) within the Business School. His research focuses on the supply side of transport, particularly dynamic/static traffic assignment methods, traffic flow theory, and algorithm design. He co-founded the open-source transport planning tool PLANit . Mark holds an MSc from Twente University (Netherlands) and a PhD from the University of Sydney. **Education:** MSc in Computer Science, Twente University, Netherlands PhD in Transport Planning, University of Sydney **Research Interests:** Combines academic rigor with practical applications, emphasizing aggregation/decomposition methods in multi-scale/multi-modal transport contexts. His work integrates sustainability aspects into transport models to aid policy-making. Key areas include variable speed limits, traffic simulation, and intelligent transport systems. **Teaching:** Contributes to courses such as Strategic Transport Planning, Traffic and Mobility Management, and Quantitative Methods in Transport. His teaching bridges theoretical frameworks with real-world applications. **Awards & Recognition:** While no explicit awards were listed, his work has led to commercial adoption and tangible impacts in transport systems globally. **Labs/Projects:** Co-lead of the PLANit project, an open-source platform for transport planning. His research has influenced both academic discourse and industry practices through models like the link transmission framework.

• Transportation Systems
• Traffic Engineering
• Logistics Optimization
• +5 more

Chiara Colombaroni is a Researcher (Ricercatore a Tempo Determinato di Tipo A) at the Department of Civil, Building and Environmental Engineering at Sapienza University of Rome, within the Faculty of Civil and Industrial Engineering. She holds a PhD in Infrastructures and Transportation from Sapienza (2011) and Master’s and Bachelor’s degrees in Transportation Systems Engineering (2006 and 2003). Colombaroni specializes in transportation engineering, with a focus on traffic modeling, logistics optimization, and intelligent transportation systems (ITS). She has led and contributed to numerous national and international projects, including research on container operations, road safety, and smart mobility solutions through initiatives like ITS Italia 2020. Her work integrates advanced methodologies like machine learning, big data analysis, and simulation-optimization techniques to address urban mobility challenges. She teaches courses such as Programming for Transport Systems and Freight Transport and Logistics at Sapienza, and supervises doctoral research in transportation systems. Her research outputs span over 17 indexed publications, with an H-index of 8 and impactful contributions to journals like Transportation Research Part C and IET Intelligent Transport Systems. Education: PhD in Infrastructures and Transportation, Sapienza University (2011) MSc in Transportation Systems Engineering, Sapienza University (2006) BSc in Transportation Engineering, Sapienza University (2003) Research Focus: Urban traffic simulation and optimization Intelligent transportation systems (ITS) Logistics and supply chain optimization Big data applications in transportation Electric vehicle integration and sustainable mobility Recent Trends in Articles: Her recent work emphasizes leveraging machine learning for traffic pattern analysis, optimizing urban logistics with electric vehicles, and integrating IoT for waste management. Projects like the ‘Two-Echelon Electric Vehicle Routing Problem’ and ‘Industry 4.0 in Waste Management’ highlight her focus on sustainable and tech-driven solutions. She also explores post-COVID mobility trends and smart city infrastructure design. Grants & Projects: Coordinated the Qatar Strategic Transport Model Update project (2017–present) Contributed to the EU-funded MULTITUDE project on traffic simulation validation (2010–2013) Participated in the ‘PASSIAMO’ project for smart mobility in Lazio (POR FESR 2014–2020) Labs/Teams: Member of the Sapienza Transport and Logistics Research Center (CTL) Collaborated with institutions like CNIT, ENEA, and international partners (e.g., University of South California)

• Parkinson's disease
• Gait analysis
• Digital health technologies
• +5 more

Professor Lynn Rochester is a leading researcher at Newcastle University specializing in gait analysis , digital health technologies , and neurological mobility assessment . Her work spans Parkinson's disease , aging populations , and post-stroke rehabilitation , with a strong focus on wearable sensors and machine learning applications for real-world mobility monitoring. Research interests include: Digital mobility outcome validation Algorithm development for gait analysis Interdisciplinary approaches to aging research Non-invasive neurological interventions Contextual factors in physical activity Recent publications demonstrate expertise in sensor-based gait metrics , neurodegenerative disease tracking , and clinical trial design for mobility interventions. Her work often involves Mobilise-D consortium collaborations and patient-centered digital health development . Key research themes from publications (2013-2025): Real-world mobility assessment Algorithm validation across conditions Neurological gait pathology Digital biomarker development Environmental influences on mobility Interdisciplinary rehabilitation approaches

Jussi SopanenView profile

Professor

• Rotordynamics
• Electrical Machines Design
• Multibody Simulation
• +3 more

Professor Jussi Sopanen holds a DSc (Technology) from LUT University and has extensive experience in mechanical engineering and electric machine design. He currently leads the laboratory of Machine Dynamics and directs the LUT Integrated Energy Conversion Machinery (INERCOM) platform at the LUT School of Energy Systems. His research focuses on high-speed electric machines, rotordynamics, and digital twins, with over 125 publications in dynamic system design and simulation. He has supervised 12 doctoral and 57 master’s students, and his work has garnered 2,700+ citations with an h-index of 25. Education: DSc (Technology), LUT University (2004) Research interests include rotordynamics of high-speed drives, mechanical design of electrical machines, real-time multibody simulation, and digital twins. His work addresses challenges in rotor stability, bearing dynamics, and material selection for high-speed applications. Articles from 2023–2025 highlight advances in laminated rotor materials, fault diagnosis, and computational modeling. Professor Sopanen chairs the 12th IFToMM International Conference on Rotordynamics (2026) and serves on editorial boards, including Shock and Vibration . He leads a team exploring hybrid powertrains and energy-efficient machinery through collaborative platforms like INERCOM. His research bridges mechanical and electrical engineering, emphasizing practical applications in renewable energy and industrial systems.

• Adaptive Control
• Robotics
• Aerospace Engineering
• +3 more

Karim Ahmadi Dastgerdi is a Lecturer at the School of Architecture, Technology and Engineering at the University of Brighton. His work spans aerospace engineering, marine engineering, and robotics, focusing on adaptive control systems and fault-tolerant design for unmanned vehicles. Research focus areas: Adaptive control strategies for dynamic environments Fault-tolerant systems in multi-rotor UAVs Obstacle avoidance for marine vehicles and autonomous crafts Geometric path planning under uncertainty Image-based navigation and velocity estimation Collision risk assessment in multi-vessel encounters Publication trends (2019–2024): His research output includes 15 recent works on adaptive velocity obstacle avoidance, fault-tolerant control, and geometric planning for quadcopters, marine vehicles, and Mars rovers. These publications reflect interdisciplinary work in control theory, computer science, and aerospace/marine engineering. Collaborative networks: Active collaborations with researchers like W. Naeem, N. Athanasopoulos, and B. Singh in control systems and autonomous navigation.

• Pumped Hydro Energy Storage
• Contra-Rotating Pump-Turbines
• Fluid Dynamics
• +5 more

Jonathan Fahlbeck is a Visiting Researcher in the Fluid Dynamics department within the Mechanics and Maritime Sciences school at Chalmers University of Technology. His research focuses on low-head pumped hydro energy storage systems, particularly examining the operational characteristics of contra-rotating pump-turbines through both experimental and computational approaches. Dr. Fahlbeck completed his Doctoral thesis in 2024 titled Flow in contra-rotating pump-turbines at stationary, transient, and cavitating conditions , following a Licentiate thesis in 2022 titled Low head pumped hydro storage with contra-rotating pump-turbines . His educational background demonstrates a specialized focus on renewable energy systems and fluid machinery. His research interests center on the development and optimization of contra-rotating pump-turbines for low-head applications, with particular emphasis on transient operational behaviors including startup and shutdown sequences, cavitation effects, and variable speed control. His work bridges experimental fluid dynamics with computational modeling to address practical challenges in energy storage systems. Analysis of his recent publications reveals a clear progression toward increasingly sophisticated investigations of pump-turbine dynamics, with growing emphasis on control strategies, efficiency optimization, and grid integration aspects of low-head pumped hydro storage. His research shows strong alignment with renewable energy integration challenges and grid stability requirements. Dr. Fahlbeck is a key contributor to the ALPHEUS project (2020-2024), which aims to enhance grid stability through low-head pumped hydro energy utilization and storage, funded by the European Commission. His collaborative work primarily involves researchers Håkan Nilsson and Saeed Salehi within the Fluid Dynamics department at Chalmers.

Anita WinterView profile

Professor

• Probability Theory
• Stochastic Processes
• Mathematical Biology
• +3 more

Prof. Dr. Anita Winter is a Professor at the University of Duisburg-Essen within the Faculty of Mathematics. Her research focuses on Probability Theory, Stochastic Processes, and their applications in areas like Mathematical Biology and Statistical Physics. She holds a prominent position in the field, with extensive contributions to branching processes, measure-valued processes, and tree-valued stochastic dynamics. Her work integrates algebraic and geometric structures with probabilistic methods, such as algebraic measure trees and pruning processes. She has published extensively in leading journals like *Stochastic Processes and their Applications* and *The Annals of Probability*. Her research often explores the interplay between population dynamics and spatial structures, including studies on coalescent processes, random graphs, and evolutionary models. Anita Winter has taught advanced courses in Probability Theory, Levy processes, and stochastic analysis across multiple semesters, reflecting her deep engagement with both research and education. Her team assistance, led by Dagmar Goetz, supports her academic activities and administrative coordination.

• Atmospheric Physics
• Atmospheric Chemistry
• Extreme Weather Events Prediction
• +5 more

Marina Astitha is an Associate Professor at the University of Connecticut's College of Engineering , specifically within the School of Civil and Environmental Engineering . Her research bridges atmospheric science with practical applications in energy systems and environmental management. Ph.D. in Physics from the University of Athens (2007) Specializes in high-resolution weather modeling and machine learning integration Research Interests include: Atmospheric Physics, Dynamics, and Chemistry Extreme Weather Event Prediction Multi-Media Modeling Systems Uncertainty Quantification in Atmospheric Models Climate Change Impacts on Wind Energy Resources Real-Time Weather and Air Quality Forecasting Scientific Awards : No awards explicitly mentioned in the provided data, but her publications and research activities indicate significant contributions to meteorology and environmental engineering fields. Advising and Grants : Specific details about grants and students are not provided in the available information, though her research focus suggests involvement in funded projects related to climate change, renewable energy, and environmental modeling. Labs and Teams : Leads the Atmospheric Modeling Group at UConn, integrating numerical weather prediction with machine learning techniques for environmental and energy applications.

• Tribology
• Railway Engineering
• Wheel/Rail Contact Tribology
• +5 more

Roger Lewis is a Professor of Mechanical Engineering at the University of Sheffield , affiliated with the School of Mechanical, Aerospace and Civil Engineering . He graduated from Sheffield in 1996 with an MEng and completed his PhD in the Tribology Research Group . His academic career progressed from Lecturer (2002) to Senior Lecturer (2006), Reader (2011), and finally a personal chair in 2013. In 2019, he was appointed a Royal Academy of Engineering Research Chair , co-funded by the Rail Safety and Standards Board , focusing on low adhesion management in wheel/rail interfaces. PhD in Tribology (University of Sheffield) MEng in Mechanical Engineering (University of Sheffield) His research spans two domains: industrial wear solutions (railway wheel/rail tribology, friction modifiers, condition monitoring) and human tissue interactions (skin friction modeling, medical device interface analysis, slip/fall mechanics). He pioneered ultrasonic techniques for contact analysis and edited The Wheel/Rail Interface Handbook . Awards include the Tribology Trust Bronze Medal (2001), Brian Mercer Innovation Award (2003), and Donald Julius Groen Prize (2020). Roger's recent publications (2025-2024) focus on railway wear mechanisms (corrosion interactions, Mn13/CrB1400 rail steels), particle entrainment modeling , and adhesion optimization via sanding. His work integrates experimental twin-disc testing , DEM/CFD simulations , and real-time monitoring of wheel/rail contacts. Scientific Honors: Tribology Trust Bronze Medal (2001) Brian Mercer Award for Innovation (2003) Institute of Physics Innovation Prize (2008) Donald Julius Groen Prize (2020) Chartered Engineer and IMechE Fellow Roger leads the Leonardo Tribology Centre and has developed laser cladding techniques for rail repair. His work on friction modifiers and adhesion management has direct applications in railway safety and efficiency.

• Traffic Engineering
• Automated Vehicles
• Reinforcement Learning
• +5 more

Papamichail Ioannis is a Professor at the School of Production Engineering and Management, Technical University of Crete. His research focuses on advanced traffic control systems, automated vehicle navigation, and intelligent transportation systems. He specializes in macroscopic/microscopic traffic modeling, reinforcement learning applications, and optimization-based control strategies for lane-free and conventional traffic environments. Key research areas include automated vehicle trajectory planning, variable speed limit algorithms, cooperative adaptive cruise control, and intersection control for connected vehicles. His work integrates numerical methods, partial differential equations, and multiagent decision-making frameworks to address traffic congestion, safety, and efficiency challenges. Recent investigations emphasize lane-free traffic systems, exploring optimal path planning, vehicle nudging strategies, and boundary control mechanisms through microscopic simulations. He has also developed novel controllers for highway work zones and urban networks, leveraging data fusion and real-time state estimation techniques. Ioannis collaborates on EU-funded projects and actively contributes to SUMO-based simulation tools for automated vehicle testing. His research bridges theoretical control systems with practical traffic management solutions, aiming for zero congestion/accidents in future transportation networks.

• Traffic Control
• Transportation Systems
• Automation
• +3 more

Amar BENASSER is an Associate Professor affiliated with the Université d'Artois, specifically within the Department of Computer Science and Automation (LGI2A). His research focuses on traffic flow modeling, control systems for transportation networks, and hybrid simulation techniques. Key areas include ramp metering optimization, variable speed limit coordination, and multi-agent systems applied to traffic management. Education: Not explicitly detailed in the text. His work emphasizes the integration of control theory and computational models to address challenges in urban traffic systems. Research themes include dynamic traffic adaptation, infrastructure coordination strategies, and the development of advanced traffic simulation frameworks. Publications span conferences such as CIFA, IFAC, and IEEE ITSC, with a focus on practical applications in transportation engineering. No scientific awards are listed, though his contributions are highlighted through collaborative projects with institutions like the LGI2A. Advising and grants are not explicitly detailed, though his involvement in multiple publications suggests active research collaboration. His primary affiliation remains the LGI2A laboratory, where he contributes to both theoretical and applied research in automated traffic systems.

• Optimization Theory
• Traffic Control Systems
• Automated Vehicle Networks
• +3 more

Ioannis Papamichail is a Professor at the Technical University of Crete (TUC), leading the Dynamic Systems and Simulation Laboratory. He holds academic positions since 2004 and has been a Visiting Scholar at UC Berkeley (2010). His expertise spans Mathematical Programming, Optimal Control, and Traffic Systems Optimization . Education : - PhD in Chemical Engineering (2002), Imperial College London - MSc in Process Systems Engineering (1999), Imperial College London - Diploma in Chemical Engineering (1998), National Technical University of Athens Research Interests : Focuses on Nonlinear Programming, Global Optimization, and Optimal Control , applied to traffic and transportation systems. His work addresses challenges in automated vehicle coordination, lane-free traffic systems, ramp metering, and intelligent transportation systems (ITS). Recent trends in his publications emphasize deep reinforcement learning for autonomous driving , microscopic/macroscopic traffic modeling , and multi-agent decision-making algorithms . Key Contributions : Developed lane-free automated traffic control frameworks using LQR and model-free controllers Pioneered vehicle nudging strategies for path planning in complex networks Validated control algorithms via SUMO-based microscopic simulations Awards : 2010 IEEE Transition to Practice Award (Ramp Metering Algorithms) 2014 TRB Best Paper Award (Freeway Operations) 2020 IEEE-ITS Best Paper Award Labs & Teams : Directs the Dynamic Systems and Simulation Laboratory , collaborating on projects like: Autonomous vehicle trajectory optimization Urban traffic signal control with connected vehicle data Macroscopic traffic model calibration

Matthew GolubView profile

Assistant Professor

• Computational Neuroscience
• Neuroengineering
• Machine Learning
• +3 more

Matthew Golub is an Assistant Professor at the University of Washington's Allen School of Computer Science & Engineering , where he leads the Systems Neuroscience & AI Lab (SNAIL) . He also holds affiliations with the UW Computational Neuroscience Center (Theory Faculty) and the Allen Institute for Neural Dynamics (Affiliate Investigator). His research focuses on the intersection of computational neuroscience , neuroengineering , and machine learning , particularly in understanding how neural population dynamics drive motor control , decision-making , and learning processes . Education: PhD in Electrical & Computer Engineering from Carnegie Mellon University (2015), awarded the A.G. Milnes Best Thesis Award Postdoctoral Fellowship at Stanford University (2017-2022), advised by Krishna Shenoy, Bill Newsome, and David Sussillo His work develops computational models for analyzing single-trial neural activity , with applications in brain-computer interfaces (BCIs) as tools for basic neuroscience. Recent projects include active learning techniques using two-photon holography , multi-regional latent variable models , and gradient-ascent explanations for local-circuit plasticity . His lab trains PhD students in neuroscience and machine learning across departments. Scientific awards include the NIH K99/R00 Pathway to Independence Award (2019) and NIH T32 Fellowship for trainees in his lab. He has presented invited talks at institutions including Yale, Berkeley, and the Allen Institute. Current Lab Members: Postdoctoral Fellows: Matthew Bull, Joseph Pemberton, Jacob Sacks Graduate Students: Belle Liu, Christina Wang, Lillian Li Undergraduate Researchers: Tanya Naveen, Nahush Shrivatsa, Zeynep Toprakbasti