Find Academic Supervisors

David NoyceView profile

Professor

• Transportation Safety
• Traffic Operations
• Vehicle-to-Infrastructure Communication
• +5 more

David Noyce is a Professor and Executive Director of the Traffic Operations and Safety (TOPS) Laboratory at the University of Wisconsin-Madison's Department of Civil & Environmental Engineering. He also serves as Associate Director of the Safety Research Using Simulation (SaferSIM) Center, a University Transportation Center. His work focuses on transportation safety, traffic operations, and automated/connected vehicle systems. Key roles include leading over $35M in research since 2003 through the TOPS Lab and advancing technologies like V2V/V2I communication, winter maintenance strategies, and work zone safety. Education: PhD (Texas A&M, 1999), MS (Civil Engineering, UW-Madison, 1995), MBA (UW-Whitewater, 1994), BS (UW-Madison, 1984). Research interests span traffic control devices, driver behavior analysis, crash reconstruction, and multi-modal transportation systems. He pioneered the national implementation of flashing yellow arrow signals and developed the Wisconsin Connected and Automated Transportation Consortium. Current projects include C-V2X localization frameworks, automated vehicle safety testing, and winter maintenance efficiency. Recognized with 20+ awards, including ITE and ASCE Fellowships and the Dr. Arthur F. Hawnn Professorship. His labs offer full-scale driving simulators and field-testing capabilities for real-world validation of innovations.

• Computer Vision
• Autonomous Driving
• Robotics
• +7 more

Dominik Schörkhuber is a PreDoc Researcher at the Vienna University of Technology (TU Wien) in the Computer Vision department. With a background in Informatics (BSc, Dipl.-Ing.), he focuses on computer vision applications for autonomous driving, robotics, and human-machine interaction. His work spans driver action recognition, pedestrian prediction, and adaptive lighting systems. Current projects: Empathic Vehicle (2024–2026), SyntheticCabin (2021–2025), SmartProtect (2020–2025) Research themes: Video transformers, synthetic data transfer learning, multi-task learning, and sensor-lighting integration Specializes in 3D sensing, nighttime driving analysis, and mobile video creation tools

Yves-Alexandre de MontjoyeView profile

Associate Professor

• Computational Privacy
• AI Safety
• Machine Learning
• +3 more

Yves-Alexandre de Montjoye is an Associate Professor of Applied Mathematics and Computer Science at Imperial College London, where he leads the Computational Privacy Group. He holds a joint affiliation between the Department of Computing and the Data Science Institute. His roles include serving as a Special Adviser on AI and Data Protection to the EC Justice Commissioner Didier Reynders, a Parliament-appointed Commissioner for the Belgian Data Protection Agency, and a Special Adviser to EC Competition Commissioner Margrethe Vestager, co-authoring the 'Competition Policy for the Digital Era' report. He earned his PhD from MIT in 2015 under Alex 'Sandy' Pentland. His master's degrees include an M.Sc. in Applied Mathematics from UCLouvain, an M.Sc. (Centralien) from École Centrale Paris, and an M.Sc. in Mathematical Engineering from KU Leuven. He also holds a B.Sc. in Engineering from UCLouvain. His research interests focus on computational privacy, anonymization techniques, AI safety, and machine learning attacks. He develops methods to 'red team' AI systems and create privacy-preserving mechanisms. His work addresses vulnerabilities such as membership inference, attribute inference, and re-identification risks in datasets, with applications to location tracking, synthetic data, and LLMs. His articles analyze adversarial attacks against privacy systems, emphasizing robustness and practical guarantees. He advocates for privacy-by-design approaches in big data analytics and has explored ethical AI, competition policy in digital markets, and humanitarian uses of mobile data. While no scientific awards are explicitly listed, his contributions have been widely covered in media. He is currently recruiting motivated PhD students for his group at Imperial College. His advising and grants narrative includes work on privacy-preserving technologies and policy implications of AI, with collaborations across academia and public institutions. He is affiliated with the Computational Privacy Group and contributes to platforms like OPAL for privacy analytics. His office is in the ACE Extension building (ACEX 259), accessible via Exhibition Road.

Margie PedenView profile

Senior Lecturer

• Injury Prevention
• Road Traffic Safety
• Child Injury Prevention
• +7 more

Dr. Margie Peden is a distinguished public health researcher specializing in injury prevention, currently holding multiple academic and leadership positions. She serves as a Senior Research Fellow at Imperial College London's School of Public Health, Faculty of Medicine, and as a Conjoint Senior Lecturer at the University of New South Wales, Sydney. Additionally, she holds an honorary position at Johns Hopkins University and serves as Head of Global Injury at The George Institute for Global Health, where she is also Co-director of the WHO Collaborating Centre on Injury Prevention. Dr. Peden's research interests focus on preventing unintentional injuries, particularly in resource-limited settings. Her work spans road traffic injuries, drowning prevention, burns, falls, and the intersection of alcohol use with injury risk. She has a particular emphasis on developing and evaluating interventions for child injury prevention in low-income countries and improving emergency care systems, especially through enhancing nurses' capabilities in accident and emergency units. Her methodological approach often incorporates participatory research techniques to develop effective practices for society's most vulnerable populations. Throughout her career, Dr. Peden has produced an extensive body of scholarly work, with recent publications focusing on child injury prevention in African contexts, road safety policy analysis, and methodological approaches to measuring injury prevention effectiveness. Her research demonstrates a consistent focus on translating evidence into practical interventions that can be implemented in resource-constrained settings. Dr. Peden plays significant roles in global road safety initiatives, including serving on the Commonwealth Road Safety Initiative Expert Panel and chairing the Global Advisory Board for the Malawi Road Safety Research and Implementation Unit. She previously coordinated the Unintentional Injury Prevention team at WHO for 17 years, where she served as executive editor for major WHO reports on road traffic injury and child injury prevention. Her professional journey began with a decade of work as an ICU nurse in South Africa before transitioning to epidemiology and public health research. She holds a PhD from the University of Cape Town and has maintained a strong connection to both clinical practice and academic research throughout her career.

• Public Transport
• Logistics and Supply Chain Management
• Transport Infrastructure
• +5 more

Dr. Geoffrey Clifton is a Senior Lecturer in Transport and Logistics Management at the Institute of Transport and Logistics Studies (ITLS) within the University of Sydney Business School. He holds a Bachelor of Economics with first class Honours in Economic Statistics from the University of Queensland and a PhD from the University of Sydney. Joining the University of Sydney in 2004 after teaching at the University of Queensland since 1998, Clifton brings extensive academic and practical experience, having previously worked for three years at the Reserve Bank of Australia. As Program Director for the Master of Logistics and Supply Chain Management, he oversees academic development and quality assurance for the Master's program as well as the Graduate Diploma and Certificate in Logistics and Supply Chain Management. His teaching portfolio includes foundational courses in supply chain management, production and operations management, quantitative logistics, and transport analysis. Clifton's research primarily focuses on public transport challenges, particularly growing patronage in suburban areas and providing transport for people with special needs due to age or disability. His work explores how reforms to policies, planning, pricing and provision of public transport services can deliver value for money solutions that support transport accessibility for all. His research methodologies include choice modeling, surveys, and smart card data analysis, with recent work examining railway safety, flexible transport systems, and the impact of emerging technologies on transport enterprises. As a consultant, Clifton has worked with aviation, maritime, logistics, rail, taxi and bus industries as well as governments both within Australia and internationally. His expertise is frequently sought by media outlets including ABC, Sydney Morning Herald, The Guardian, and Channel 7, where he comments on current transport issues ranging from Sydney's rail network challenges to light rail systems and public transport policy. Clifton coordinates multiple research projects, supervises postgraduate students, and has published extensively in leading transportation journals. His recent work demonstrates a strong focus on railway safety analysis, transport accessibility, and the integration of different transport modes within urban environments.

Sjaanie KoppelView profile

Associate Professor

• Road Safety
• Vulnerable Road Users
• Child Road Users
• +5 more

Dr Sjaanie Koppel is an Associate Professor at Monash University's Accident Research Centre (MUARC), specializing in road safety research. She leads MUARC's Behavioural Science team and holds multiple leadership roles including Board Director of AAAM, ACRS Executive Member, and Associate Editor for Traffic Injury Prevention . Her research focuses on vulnerable road users, driver health assessment, and emerging mobility technologies. She leads major projects like NORTISS and smart vehicle systems for dementia drivers. Koppel holds a PhD in Psychophysiology and has received awards including the 2024 Women in Road Safety Award. Key collaborations include Safe Kids Worldwide and TÜV SÜD. Her work addresses older driver mobility, child occupant safety, and workplace road safety through innovative methods like driving simulations and naturalistic studies. She manages the National Road Safety Partnership Program (NRSPP) to improve corporate road safety practices. Recent research includes rideshare safety, pregnancy seatbelt use, and automated vehicle takeover behavior. Koppel has published 227+ outputs since 2002 and actively engages in policy advocacy through 56+ professional activities.

Zhou ZhouView profile

Assistant Professor

• Neurotrauma Prevention
• Biomechanical Modeling
• Medical Imaging
• +5 more

Zhou Zhou is an Assistant Professor (tenure track) in Neuronic Engineering at KTH Royal Institute of Technology's Department of Biomedical Engineering and Health Systems. He is affiliated with the Digital Futures Faculty, a cross-disciplinary research center focusing on digital technologies for societal challenges. His research focuses on neurotrauma prevention, prediction, and protection through computational modeling, machine learning, and biomechanical validation. Dr. Zhou holds a PhD from KTH (2019) and completed postdoctoral training at Stanford University, specializing in sports safety and concussion prevention. His work is supported by VINNOVA, Swedish Research Council, and others. He received the 2025 Göran Gustafsson Prize for young researchers. Research interests include in silico modeling, fluid mechanics, and safety standardization for helmets. Zhou teaches courses such as Biomechanics and Neuronics (HL2035/CH213V) and leads labs in human and animal neurotrauma modeling. He seeks postdoctoral candidates for rat neurotrauma research. Education: PhD in Biomedical Engineering, KTH (2019); Postdoc at Stanford University (Sports Safety) Key Projects: InSilicoHealth ITN, helmet evaluation via virtual testing Labs/Teams: Neuronic Engineering Division, Digital Futures Collaboratory

• Transportation Safety
• Automated Vehicles
• Human Factors in Transportation
• +3 more

Rakotonirainy Andry is a Professor at Queensland University of Technology (QUT), affiliated with the Centre for Accident Research & Road Safety - Queensland (CARRS-Q). His research focuses on transportation safety, automated vehicles, human factors, and intelligent transportation systems (ITS). He leads interdisciplinary projects exploring driver behavior, connected vehicle technologies, and the societal impacts of automation. Key areas include accident prevention, human-vehicle interaction, and equity in transport systems. His work integrates machine learning, simulation studies, and behavioral analysis to address challenges in road safety. Notable contributions include studies on driver stress detection, automated vehicle acceptance, and the Australian Naturalistic Driving Study (ANDS). He collaborates with institutions globally, advancing innovations like connected vehicle pilots and multimodal AI for traffic safety. Research interests span automated driving systems, vulnerable road user protection, and policy implications of emerging technologies. His findings contribute to safer transportation policies and technologies, emphasizing both technical and human-centric perspectives.

• Information Processing Systems
• Internet of Things (IoT)
• Edge Computing
• +4 more

Marcello Pietri is a Researcher (td art. 24 c. 3 lett. A) and Contract Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia. His work focuses on Information Processing Systems, with expertise in IoT, Edge Computing, and Digital Twins. He teaches courses like 'Sistemi Informativi' (Information Systems) for the Engineering Management program, emphasizing database design, SQL, and web application development with Python. His research explores advanced topics including Digital Twin integration in Industry 5.0, Fluid Computing in IoT ecosystems, and Smart City data fusion using 5G MEC architectures. He collaborates with institutions like the DIPI Lab (Distributed and Pervasive Intelligence Group), contributing to projects on telecom security, energy forecasting, and human-centric manufacturing systems. Recent publications highlight innovations in operator digital twins for workplace well-being, distributed data mesh models for IoT-edge-cloud systems, and adaptive monitoring algorithms for large-scale cloud environments. His work bridges theoretical advancements with practical implementations, addressing challenges in scalability, real-time data processing, and interdisciplinary collaboration.

Ondrej VaculinView profile

Professor

• Passive Vehicle Safety
• Automated Driving
• Vehicle Dynamics
• +3 more

Prof. Ondrej Vaculin, Ph.D., is a Professor at Technische Hochschule Ingolstadt (THI), specializing in passive vehicle safety, mechatronic systems, and automated driving. He joined THI in 2018 and previously held roles at TÜV SÜD Prague (2008–2018) as Vice President for Safety and Security in Automotive, and as a researcher at Czech Technical University (2005–2008) and DLR Oberpfaffenhofen (2000–2005). His research focuses on enhancing vehicle safety through advanced simulation, sensor integration, and machine learning applications. Education: Ph.D. in Mechanics of Solids, Deformable Bodies and Continua from Czech Technical University in Prague (2001), and a degree in Technical Cybernetics from the Faculty of Electrical Engineering at the same university (1991). His work bridges theoretical research and practical implementation, addressing challenges in automated driving systems, crash simulation, and human body diversity in safety design. Research interests include passive safety systems, autonomous vehicle dynamics, and infrastructure integration for safety enhancements. Recent publications emphasize collaborative smart infrastructure, sensor fusion for free space detection, and machine learning in crash detection. He actively contributes to FISITA, serving as a Council Delegate and member of technical committees. Awards/memberships: Active in FISITA, holding leadership roles in technical committees. No explicit awards listed, though his contributions to automotive safety standards are notable. Grants and advising: While no specific grants or students are detailed, his extensive industry and academic collaborations (e.g., IN2Lab testing field projects) highlight his role in applied research and development.

Francesco PillaView profile

Professor

• Smart Cities
• Geospatial Analysis
• Environmental Modeling
• +7 more

Professor Francesco Pilla is a Full Professor of Smart and Sustainable Cities at University College Dublin's School of Architecture, Planning and Environmental Policy, where he also serves as Co-Director of the Spatial Dynamics Lab. Previously, he held positions as MSc Director (2018-2019) and Undergraduate Director for the School of Architecture. With over 15 years of experience in GIS modeling and spatial data analysis, Professor Pilla's work bridges technology, urban planning, and community engagement to create more sustainable cities. Professor Pilla's research focuses on developing geospatial analysis tools and environmental pollution models (air, noise, water) using GIS platforms to facilitate interoperability between research teams and end users. His approach integrates environmental pollution models with pervasive and community sensing applications for calibration and validation. A key innovation in his work is the integration of co-design principles through Living Labs in urban planning and citizen science initiatives to improve city life from an environmental perspective. His recent publications reveal a strong focus on urban sustainability challenges, with significant contributions to air quality monitoring, sustainable transportation, climate adaptation, and citizen science methodologies. His work increasingly incorporates advanced AI techniques, including large language models and machine learning algorithms, to analyze urban systems and develop data-driven solutions for complex environmental problems. The research demonstrates a clear trend toward integrating diverse data sources and developing practical tools for urban governance and planning. Haagen-Smit Prize (2024) - Recognizing outstanding papers published in Atmospheric Environment Best eMobility Project - Electric Vehicle Awards 2024 All Ireland community & council awards - Best Community Transport Initiative 2024 Academic research award: tipping point for action from Financial Times (2023) Professor Pilla leads numerous significant research projects including iSCAPE (H2020-SC5) as Coordinator, OPERANDUM (Principal Investigator for UCD) focusing on flood risk reduction with nature-based solutions, WeCount (Principal Investigator for UCD), and Connecting Nature (Principal Investigator for UCD). He has also secured funding through SFI Investigator grants for 'Scalable, Privacy-Enhanced Analytics for sharing mobility systems' and several Environmental Protection Agency projects. His collaborative work extends to partnerships with MIT through Fulbright/EPA TechImpact awards and IBM through Faculty Awards. At the Spatial Dynamics Lab, Professor Pilla oversees research that combines geospatial analysis, environmental monitoring, and community engagement. His innovative 'Bike Library' initiative, which has expanded to multiple schools in Dublin, exemplifies his commitment to translating research into practical community solutions. The lab's work integrates advanced sensing technologies, GIS platforms, and citizen science to address urban environmental challenges through collaborative approaches.

Katie PlantView profile

Associate Professor

• Human Factors
• Ergonomics
• Transportation Safety
• +4 more

Dr. Katie Plant is an Associate Professor at the University of Southampton, affiliated with the Centre for Defence and Security Research and the Transportation Research Group. Her research focuses on human factors in complex systems, including autonomous vehicles, transportation safety, and organizational adaptation. She leads projects such as REASON (resilient autonomous agents) and GEM (gender equitable micro-mobility guidelines). Current supervision includes PhD students in defense mobility and environmental engineering. Active collaborations involve the EPSRC/Mod Doctoral Training Centre and industry partners like the Chartered Institute of Logistics & Transport. Her work spans aviation safety, driver-cyclist interactions, and pandemic-era organizational resilience. She contributes to interdisciplinary initiatives like the STARS global road safety group. Research methods include simulation design (e.g., SUMO-Unreal Engine integration) and thematic analysis of human-system interactions. Notable contributions include advancing automation handover protocols, urban mobility equity frameworks, and human-centric design for emergency systems. Her projects address both technical and socio-organizational challenges in critical infrastructure systems.

• Digital Forensics
• Cybersecurity
• Incident Response
• +5 more

Professor Vasilis Katos is a Professor in Cyber Security at Bournemouth University, specializing in digital forensics, incident response, and intellectual property security. With over 160 publications and extensive industry experience as an Information Security Consultant, he serves as an expert witness in criminal courts in both the UK and Greece. His research has significant impact in digital forensics for intellectual property infringement investigations through collaborations with the EU Intellectual Property Office (EUIPO) and UNICRI. Professor Katos holds a Diploma in Electrical Engineering from Democritus University of Thrace, an MBA from Keele University, and a PhD in Computer Science (network security and cryptography) from Aston University. He is a certified Computer Hacking Forensic Investigator (CHFI) with extensive practical experience in cybersecurity. His research primarily focuses on digital forensics and incident response, with recent emphasis on intellectual property infringement investigations, IoT security, blockchain applications, and traffic prediction systems. His work bridges academic research with practical security applications, particularly in intellectual property protection and smart city security frameworks. Professor Katos has coordinated significant research projects including Illegal IPTV in the European Union and IP Infringement on online trading platforms, funded by the EUIPO Observatory. His extensive publication record shows strong trends in digital forensics, cybersecurity for intellectual property protection, IoT security, and increasingly in smart city security frameworks. The research demonstrates a progression from foundational cybersecurity work to specialized applications in intellectual property protection and circular economy security models, with recent incorporation of AI and machine learning techniques for threat intelligence and traffic prediction. Certified Computer Hacking Forensic Investigator (CHFI) Editorial Board Member of Computers & Security Journal Professor Katos has successfully supervised multiple PhD students including Amalia Damianou (Digital Forensics in Smart, Circular Cities), Christos Iliou (Machine Learning Based Detection and Evasion Techniques for Advanced Web Bots), and Mohammed Al Qurashi (Intrusion Detection for IoT). He has secured significant research funding including the ECHO project (European network of Cybersecurity centres), IDEAL-CITIES, and multiple EUIPO-funded initiatives focusing on intellectual property protection. His work connects with the Centre for Intellectual Property Policy & Management (CIPPM) at Bournemouth University, where he contributes to research on intellectual property in emerging technologies. Professor Katos maintains active collaborations with international organizations including UNICRI and the EU Intellectual Property Office, focusing on practical applications of digital forensics in intellectual property protection.

• Human Factors
• Ergonomics
• Automated Driving
• +3 more

André Dietrich serves as a Researcher at the Department of Ergonomics, Technical University of Munich, since March 2015. His work centers on pedestrian-vehicle interactions within automated driving contexts, utilizing advanced simulation methodologies and field studies to enhance urban traffic safety. Education: Diploma in Aerospace Engineering from Technical University of Munich specializing in aircraft propulsion and aerospace engineering Completed diploma thesis "Feasibility Analysis of a Pedestrian Simulator" in December 2014 Research Interests: Dietrich investigates pedestrian crossing behavior in automated urban environments through human factors and ergonomics frameworks. His work pioneers external human-machine interfaces (eHMIs) for vehicle-pedestrian communication, examining kinematic effects, cultural influences, and age-related perception differences. Key methodologies include augmented reality simulations, LiDAR-based field observations, and motion-platform pedestrian simulators to capture behavioral nuances in traffic scenarios. His research directly addresses safety challenges posed by increasing vehicle automation levels in complex urban settings. Publication Trends: Analysis of Dietrich's 12 publications (2016-2022) reveals consistent focus on pedestrian-AV interaction mechanisms. His work demonstrates evolving methodologies from controlled simulator studies toward real-world field validations, with growing emphasis on inclusive eHMI design for diverse user groups. Cross-cultural comparisons and technical innovations in projection-based interfaces represent significant thematic threads across his publication history. Advising and Grants: No student supervision or grant funding details are documented in the provided materials. Labs and Infrastructure: Dietrich operates within TUM's Ergonomics Chair facilities including the Dynamical Mock-Up, Modular Ergonomic Mockup, Static Driving Simulator, and robotics labs. These resources support his research on cabin design, automated driving systems, and human-robot interaction within traffic contexts.

• Human Factors
• Cognitive Science
• Cyberpsychology
• +7 more

Professor Phillip Morgan is a leading academic in Human Factors and Cognitive Science at Cardiff University's School of Psychology, holding a Personal Chair since 2020. He directs the Human Factors Excellence (HuFEx) Research Group and serves as Director of Research for the Centre for Artificial Intelligence, Robotics & Human-Machine Systems (IROHMS) . Since March 2019, he has been seconded part-time to Airbus as Director of their Centre of Excellence in Human-Centric Cyber Security . BSc (Hons) Psychology, Cardiff University (2001) PGDip Research Methods, Cardiff University (2002, Distinction) PhD in Cognitive Psychology, Cardiff University (2005) PGCHE, University of Wales (2012, Distinction) His research merges Human Factors with Cognitive Science to address real-world challenges in: Human-machine interaction in autonomous systems Cyberpsychology and security behavior Transport human factors (connected/autonomous vehicles) Interruption/distraction effects on cognition Trust and blame dynamics in AI systems Industry 5.0 human-centric manufacturing Recent publications show AI and cybersecurity as dominant themes, with specific focus on autonomous vehicle interfaces, human fatigue analysis, and trust calibration in human-machine systems. His work integrates behavioral experiments, driving simulators, and human-state monitoring. Scientific Recognition: Associate Fellow of the British Psychological Society Best Paper Award at AHFE 2021 Member of Experimental Psychology Society Keynote speaker at multiple international conferences As supervisor, he leads projects on cybersecurity frameworks, fatigue detection, and human-AI interaction. His grants portfolio exceeds £37m from sources including EPSRC, ESRC, Airbus, and Wellcome Trust. Current supervisees include Victoria Marcinkiewicz, George Raywood-Burke, and Nicola Turner.