جستجوی استاد راهنمای دانشگاهی

Dr. Umberto Montanaro is a Senior Lecturer in Autonomous Systems and Control Engineering at the University of Surrey's School of Mechanical Engineering Sciences, within the Centre for Automotive Engineering. He holds PhDs in Control Engineering (2009) and Mechanical Engineering (2016) from the University of Naples Federico II, Italy. His research focuses on adaptive control algorithms for automotive and mechatronic systems, including vehicle platooning, autonomous driving, and nonlinear control strategies. He has authored over 60 peer-reviewed publications and led projects like the Innovate UK-funded GPR for Localisation (2018–2019) and the EPSRC/JLR-funded CARMA initiative (2016–2021). His work spans control of multiagent systems, optimal control, and enhanced model reference adaptive control (MRAC) applications. Dr. Montanaro has supervised multiple PhD and MEng students, including co-supervision of Shilp Dixit's research on autonomous overtaking. Research Interests: Adaptive Control, Autonomous Vehicles, Vehicle Platooning, Nonlinear Systems, Model Reference Adaptive Control Grants: CARMA (EPSRC/JLR), GPR Localisation (Innovate UK) Teaching: Control and Dynamics (ENG3611), Engine Speed Control labs Labs/Teams: Active in automotive control systems and connected autonomous vehicle research

• Adaptive Control
• Autonomous Systems
• Vehicle Platooning
• +۵ مورد دیگر

Evita Papazikou serves as a Lecturer in Transport Engineering at the School of Engineering, University of the West of England (UWE Bristol), where she contributes to the Centre for Transport and Society and collaborates with the Bristol Robotics Laboratory's Connected & Autonomous Vehicles Centre. Her academic qualifications include: Civil Engineering (BEng and MEng) from Aristotle University of Thessaloniki MSc in Planning, Organisation, and Management of Transport Systems, Aristotle University of Thessaloniki PhD in Automated Systems and Driver Behaviour (Road Safety) from Loughborough University, sponsored by the Insurance Institute for Highway Safety with access to SHRP2 NDS data Dr. Papazikou's research focuses on road safety, connected and automated vehicles, driver behaviour analysis, and smart infrastructure. She investigates accident causation through statistical modeling, develops driver monitoring systems, and explores human factors in transportation. Her work integrates traffic simulation with mobility data fusion from vehicles, sensors, and infrastructure to enhance safety in future mobility systems, particularly in cooperative, connected, and automated environments. Her recent publications (2023-2025) reveal a concentrated research trajectory examining safety impacts of dedicated lanes for autonomous vehicles, parking policy implications in automated eras, and driver fatigue management. She consistently employs naturalistic driving data and traffic microsimulation to analyze driver-vehicle-environment interactions, with increasing emphasis on real-world intervention effectiveness and environmental sustainability in mobility systems. Scientific Awards: No specific awards were mentioned in the provided information. Dr. Papazikou has secured significant research funding through competitive programs including Horizon 2020, Innovate UK, and the Department for Transport. Her project portfolio demonstrates substantial industry collaboration, particularly with Ford, and includes: LEVITATE: Assessing societal impacts of Connected and Automated Vehicles SafetyCube: Developing an innovative road safety decision support tool i-DREAMS: Creating a smart driver and road environment assessment system DDRST: Building a data-driven road safety tool for hotspot identification TRIP: Developing a driver culpability assignment tool for road injury prevention She actively contributes to interdisciplinary research through her affiliations with the Centre for Transport and Society and the Bristol Robotics Laboratory's Connected & Autonomous Vehicles Centre, where she bridges engineering, human factors, and policy development for next-generation transportation systems.

• Road Safety
• Connected and Automated Vehicles
• Driver Behaviour
• +۵ مورد دیگر

Dr Zhiyuan (Thomas) Tan is an Associate Professor at Edinburgh Napier University’s School of Computing, Engineering and the Built Environment . He is internationally recognised for his cybersecurity research and has been listed among Stanford University’s Top 2% Scientists for 2021–2023. Education BEng (2005) with high distinction – North-eastern University, China MEng (2008) – Beijing University of Technology, China PhD in Computer Systems (2014) – University of Technology Sydney, Australia Research Interests Dr Tan’s research integrates cybersecurity with machine learning and data analytics. His core areas include: Intrusion detection and defence of critical service systems Adversarial machine learning for malware and anomaly detection Virtualisation security through non-parametric behaviour modelling IoT and vehicular network security—cloud/edge/cloudlet frameworks Privacy-preserving AI and federated machine unlearning Smart-city digital forensics and cyber-physical system resilience Research Output Trends His recent articles (2020–2025) reveal a strong focus on federated learning, edge & mobile computing, UAV coordination, and AI-driven security. Topics span advanced steganography, metamorphic malware, graph injection attacks, and trustworthiness in vehicular platoons, all anchored in real-world IoT and transportation applications. Awards & Distinctions Stanford University Top 2% Scientists List (2021, 2022, 2023) National Research Award 2017 – Research Council of the Sultanate of Oman Best Paper Awards (three instances) Kaspersky Lab Student Cyber Security Conference – Finalist Award SICSA Supervisor of the Year 2019 – Honourable Mention Grants & Leadership Dr Tan has attracted over £200k in external funding including: Carnegie Trust (£73,564) – Federated Machine Unlearning ENU Development Trust (£29,998) – Machine Unlearning Royal Society (£12,000) – VANET Security & Privacy SICSA & other awards for MemoryCrypt, AI Secrets, behaviour biometrics, and visiting-fellow schemes. Supervision & Mentoring Since 2013 he has supervised or co-supervised 16 doctoral candidates and several master’s students; six PhDs have successfully graduated. Roles range from Director of Studies to additional supervisor across diverse topics from malware evolution to VR olfactory interfaces. Research Groups & Collaboration He is affiliated with the Centre for Artificial Intelligence and Robotics , the Centre for Distributed Computing, Networking and Security , and the Centre for Cybersecurity, IoT and Cyber-physical Systems at ENU, fostering interdisciplinary collaboration with national and international partners.

• Cybersecurity
• Machine Learning
• Data Analytics
• +۵ مورد دیگر

Dr. Yinglong He is a Lecturer in Automated Electrified Transport (AcT) Systems at the School of Mechanical Engineering Sciences, University of Surrey, UK, and an Honorary Assistant Professor at the School of Engineering, University of Birmingham. His research focuses on intelligent transportation systems, energy management, vehicle dynamics, and AI-driven optimisation. He has held positions including Postdoctoral Research Associate at the University of Cambridge and Technology Expert at the European Commission's Joint Research Centre (JRC). Research interests include autonomous vehicle control, traffic simulation, hybrid/electric vehicle dynamics, and sustainable transport solutions. Notable contributions include advancing microscopic traffic models for automated vehicles and optimising energy systems for hybrid powertrains. His work integrates machine learning, multi-agent systems, and data-driven approaches to address challenges in transport decarbonisation and safety. Recent publications highlight advancements in hybrid vehicle dynamics simulation, lithium-air battery modelling, and energy mapping of urban buildings. He has received the Chinese Government Award for Outstanding Self-Financed Students (2022) and is a Fellow of the Institute for Sustainability (IfS). His expertise spans interdisciplinary collaborations in automotive engineering, energy systems, and smart infrastructure.

• Intelligent Transportation Systems
• Energy Management & Decarbonisation
• Vehicle & Powertrain Dynamics
• +۷ مورد دیگر

Dr. Dong Zhang is a permanent Lecturer in Automotive Design at Brunel University London, affiliated with the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences. He holds a PhD in Vehicle Dynamic Control from the University of Lincoln (2019) and has prior experience as a Research Fellow at Nanyang Technological University (2019–2020) and as a Senior Research Project Manager in industry collaborations. Education : PhD in Vehicle Dynamic Control (University of Lincoln, 2019). Dr. Zhang's research focuses on human-centered automotive control systems, including intelligent vehicle/transportation control, game theory-based driver-vehicle shared control, vehicle active safety systems, and cybersecurity for intelligent vehicles. He also develops AI-based autonomous driving solutions and anti-cyber-attack control systems. His recent publications highlight advancements in vehicle platooning via game theory, cybersecurity for autonomous driving, and human-machine interaction in intelligent vehicles. Dr. Zhang has contributed over 30 peer-reviewed papers and 10 patents related to vehicle dynamic control and connected systems. Teaching : ME2618 Vehicle Design and Performance, ME3628 Technologies for Future Transport. Research Leadership : Founder of the Brunel Racing Formula Student AI group; Co-PI for projects on full-wheel independent driving systems and big-data governance in vehicle performance evaluation. Dr. Zhang emphasizes industry collaboration for developing human-centered control systems and ADAS technologies.

• Automotive Engineering
• Control Systems
• Intelligent Transportation Systems
• +۴ مورد دیگر

Dr. Zhiyuan Tan is an Associate Professor in the School of Computing at Edinburgh Napier University (ENU), specializing in cybersecurity research. He holds a PhD in Computer Systems from the University of Technology Sydney (UTS), Australia (2014), an MEng from Beijing University of Technology, China (2008), and a BEng with high distinction from North-eastern University, China (2005). Before joining ENU in 2016, Dr. Tan held research positions at the University of Twente (Netherlands), University of Technology Sydney (Australia), and La Trobe University (Australia). Dr. Tan's research focuses on cybersecurity, machine learning, data analytics, virtualisation, and cyber-physical systems. His work has resulted in over 44 scholarly publications with an H-Index of 13 and more than 830 citations according to Google Scholar. His recent publications demonstrate a continued focus on network security, intrusion detection systems, and the application of machine learning techniques to cybersecurity challenges, with publications spanning from 2022-2025 in top venues including IEEE Transactions and international conferences. Dr. Tan has received significant research funding, including AUD 27,800 from CSIRO and UTS for autonomous network intrusion detection research and £6,987 from ENU for securing future 5G health care systems. His research has been recognized with awards including the National Research Award 2017 from the Research Council of the Sultanate of Oman, a Best Paper Award, and the Kaspersky Lab's Annual Student Cyber Security Conference Finalist Award. National Research Award 2017 from the Research Council of the Sultanate of Oman Best Paper Award Kaspersky Lab's Annual Student Cyber Security Conference Finalist Award Dr. Tan has mentored 9 PhD students over the past 5 years, with 6 successfully completing their studies. His students have produced 12 journal and 10 conference publications. He has also served as an editorial board member for international journals, organized special issues, and participated as a technical program committee member for major international conferences. Dr. Tan is currently recruiting PhD students for research projects on network security, adversarial machine learning for anomaly/malware detection, virtualization security, and IoT security.

• Cybersecurity
• Machine Learning
• Network Security
• +۶ مورد دیگر

Dr. Francisco J. Aparicio Navarro serves as Associate Professor in Cyber Security and Programme Leader for BSc/MSc Digital Technology Solutions Degree Apprenticeships at De Montfort University's School of Computer Science and Informatics. An expert in Computer Network Security and Intrusion Detection Systems, his research develops novel unsupervised detection frameworks integrating Contextual Information and Situational Awareness for cyber-attack identification in networked environments. His research spans Network Security, Machine Learning, and Cyber Situational Awareness with specialized expertise in Penetration Testing, Cyber Threat Intelligence, and Incident Response. Key contributions include statistical approaches for multi-stage attack detection, data fusion techniques for anomaly identification, and security solutions for Connected Autonomous Vehicles developed in partnership with Airbus. His work bridges theoretical advances in cryptographic protocols with practical defense mechanisms for critical infrastructure. Recent publications demonstrate evolving focus from foundational wireless intrusion detection (2017-2018) toward sophisticated APT prediction using machine learning correlation analysis (2018-2019), vehicle cybersecurity (2019-2020), and emerging areas like medical imaging watermarking (2023) and lightweight cryptographic solutions (2024-2025). Cross-cutting themes include contextual information integration, IoT privacy compliance, and distributed authentication mechanisms. Scientific recognition includes: Fellowship of the Higher Education Academy (FHEA) He currently supervises PhD candidates Tareq Ahmad Alhajahjeh (Cyber Threats Intelligence using BRNN-LSTM) and Ademola Elijah Owaraye (Zero-Trust Security in Fog Computing), following successful completion of Dr. Raphael Martin Juergen Riebl's thesis on Vehicular AdHoc Networks. Research funding includes Innovate UK projects SACRED (Co-Investigator), INSURE Phases 1-2 (Principal Investigator), and FLOURISH (Co-Investigator with Airbus), alongside EPSRC/Dstl collaborations on networked battlespace security. As Director of the Cyber Security Academic Startup Accelerator Programme, he fosters industry-academia partnerships while maintaining active consultancy in penetration testing and incident response for commercial clients.

• Network Security
• Intrusion Detection Systems
• Cyber Situational Awareness
• +۱۰ مورد دیگر

Professor Siraj Shaikh is a Professor in Systems Security at Swansea University (UK) with joint appointment as Visiting Professor at Nebrija University (Spain). His research specializes in cybersecurity for automotive and transport systems, focusing on cyber-physical systems security. He co-founded CyberOwl, a maritime security analytics company. His research explores the intersection of cybersecurity, systems engineering and computer science, particularly addressing security challenges in connected vehicles and transportation infrastructure. Current work examines threat modeling, risk assessment frameworks, and security validation methods for automotive systems. Professor Shaikh's publications demonstrate consistent focus on automotive cybersecurity, evolving from fundamental security frameworks to specialized applications in vehicular networks and hardware security. Recent work shows increased emphasis on practical implementations and supply chain security. Honors include: Royal Academy of Engineering Industry Fellowship (hosted at HORIBA MIRA) His research has been funded by EPSRC, ESRC, Lloyds Register Foundation, DSTL, British Council and Royal Academy of Engineering. He has authored the book Formal Methods for Software Engineering (Springer, 2022) and leads the Systems Security research group.

• Cybersecurity
• Systems Engineering
• Cyber-Physical Systems
• +۲ مورد دیگر

Haimeng Wu is an Assistant Professor and Head of the Electrical Power and Control Systems at Northumbria University's Department of Mathematics, Physics, and Electrical Engineering. He leads the EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities (ReNU), a collaborative initiative with Newcastle and Durham Universities. Previously, he was part of Newcastle University's Electrical Power Research Group and served as a guest staff member in their School of Engineering. His research focuses on power electronics, renewable energy systems, wireless power transfer, and condition monitoring of wide bandgap (WBG) power modules. He has secured over £1.2 million in research funding, including grants from Innovate UK and The Royal Society. Wu is also an Associate Editor for IET Power Electronics and actively contributes to conferences like IEEE ECCE Europe and ISEEIE. Education: PhD in Power Electronics, Newcastle University (2012–2016) MSc in Hybrid Renewable Energy Distributed Generation Systems, Zhejiang University (2011) BEng in Electrical Engineering (2008) Research Interests: Design and control of power converters for electric vehicles and renewable energy networks Health monitoring and condition control of WBG power modules Wireless power transfer systems and their integration into IoT and smart energy systems His work aligns with UN Sustainable Development Goals, particularly in affordable and clean energy and industry innovation. Grants and Awards: £208,000 Innovate UK grant for a PV-powered outdoor lighting system (2025–2027) £316,000 Newton International Fellowship for IoT-integrated wireless power transfer (2024–2026) Siemens European Competition in Power Electronics (2018) Fellow of the Higher Education Academy (HEA) Advising and Teaching: Supervises four PhD students, as well as MSc and undergraduate students Develops courses in smart energy systems, renewable energy technologies, and analogue electronics His research has produced over 50 peer-reviewed publications and three patents, emphasizing industry collaboration and innovation.

• Power Electronics
• Renewable Energy Systems
• Electric Vehicles
• +۵ مورد دیگر

Professor Mehrdad Dianati is a faculty member at Queen's University of Belfast in the School of Electronics, Electrical Engineering and Computer Science. His research focuses on Connected and Autonomous Systems, Autonomous Vehicles, Artificial Intelligence, Future Networks (5G/6G), and Future Transport Systems. He actively supervises PhD students in these areas and has collaborated with institutions like the University of Surrey and University of Waterloo. His work emphasizes cybersecurity in autonomous systems, cooperative perception for driving applications, and advanced communication protocols for vehicular networks. Key contributions include publications on anomaly detection in autonomous vehicles, motion planning using fluid dynamics, and simulation techniques for sensor data. Research Interests: Autonomous Vehicle Cybersecurity 3D Object Detection in Driving Scenarios Cooperative Perception and V2X Communication Deep Learning for Trajectory Prediction Recent Articles: Focus on cybersecurity, motion planning algorithms, and sensor simulation for autonomous systems Exploration of future networks (6G) and metaverse integration

• Connected and Autonomous Systems
• Autonomous Vehicles
• Artificial Intelligence
• +۴ مورد دیگر

Professor Volker Pickert is a faculty member at Newcastle University, specializing in power electronics, electric vehicles, and energy systems. His research focuses on advanced thermal management, battery technologies, and converter designs for automotive and grid applications. His work spans wireless power transfer systems, dynamic road charging, and optimization of energy storage and distribution. Recent publications highlight innovations in zero-voltage switching converters, platoon energy recovery, and liquid metal cooling solutions. Article trends indicate expertise in converter topologies, thermal conductivity analysis, and electric road system integration. Research extends to fault tolerance in power electronics, battery management, and nonlinear system analysis across transportation and energy domains.

• Power Electronics
• Electric Vehicles
• Battery Systems
• +۶ مورد دیگر

Dr. Juan Zhang is a Lecturer at the Department of Computer and Information Sciences, Northumbria University, UK. She holds a PhD in Computer Science from the University of Exeter and has held postdoctoral positions at Helmut-Schmidt University, Germany, and visiting roles at Georg-August-University of Göttingen. Her research focuses on mobile edge computing, intelligent transportation systems, decision-making strategies, and autonomous vehicles. She has published extensively in top journals like IEEE Transactions and IEEE Conference Proceedings, with over 225 citations. Dr. Zhang teaches modules including Computer Networks, Cyber Security, and supervises numerous PhD/MSc students in edge computing and vehicular networks. Education: PhD in Computer Science, University of Exeter (UK) M.Sc. in Control Science & Engineering B.Eng in Mechanical Engineering, Beihang University (China) Research Interests: Her work integrates AI with transportation systems, emphasizing eco-driving controllers, vehicular platooning, and multi-agent systems for HD mapping. She explores game-theoretic approaches for edge computing optimizations and reinforcement learning applications in autonomous systems. Teaching: Current modules: KF7023, KV6017, KF7029, etc. Supervised over 20+ student projects on edge computing, federated learning, and vehicular networks. Labs/Teams: Active in Northumbria's Computer Networks Group and collaborates internationally on vehicular edge computing and smart logistics systems.

• Mobile Edge Computing
• Intelligent Transportation Systems
• Game Theory
• +۷ مورد دیگر

Pak Sing Leung serves as Senior Lecturer at Northumbria University's Faculty of Engineering and Environment, where he has maintained continuous academic service since completing his PhD in 1990. His career spans over three decades of research in mechanical systems with particular focus on sustainable materials and energy applications. Leung's research spans multiple critical engineering domains including advanced composite development for automotive applications, renewable energy systems integration, and marine infrastructure protection. His work demonstrates consistent emphasis on sustainable resource utilization, particularly through waste-to-resource conversion methodologies and eco-friendly material design. Recent publications show increasing focus on renewable energy systems optimization while maintaining strong connections to traditional mechanical engineering challenges. His publication portfolio reveals strong methodological diversity combining experimental validation with computational modeling approaches. Key research trajectories include: sustainable composite development (2022-2024), vehicle aerodynamics optimization (2017-2018), and marine coating technologies (2014-2017). This interdisciplinary approach bridges traditional mechanical engineering with contemporary sustainability challenges.

• Mechanical Engineering
• Renewable Energy Systems
• Composite Materials
• +۳ مورد دیگر

Nguyen H is an academic affiliated with Swansea University's Faculty of Humanities and Social Sciences, School of Management. Their career includes roles such as Senior Lecturer at the University of Finance and Business Administration in Vietnam (2015–2016), Teaching Assistant at University College London (2020–2021), and Research Assistant at the University of Essex (2021). Their research interests span automotive cybersecurity, formal verification, multi-agent systems, and railway safety. Nguyen has contributed to over 50 publications, focusing on topics like threat modeling, secure vehicular communication, and automated security analysis frameworks. Notable work includes developing simulation-based risk assessment tools for connected vehicles and formal methods for verifying automotive systems. Their research emphasizes practical applications in safety-critical domains, blending theoretical rigor with real-world implementation challenges. Key Research Themes : Automotive Cybersecurity, Formal Methods, Threat Analysis, Vehicular Networks, Railway Safety Nguyen's recent articles highlight advancements in securing over-the-air updates for vehicles, combating false data injection in platooning systems, and enhancing resilience against hardware threats. They actively engage with industry standards and collaborate on tools like the ARISTOTLE framework for vehicular security. Despite no listed awards, their extensive publication record underscores significant contributions to interdisciplinary cyber-physical systems research.

• Cybersecurity
• Automotive Systems
• Formal Verification
• +۳ مورد دیگر

Laurent Dala is a Professor of Aerospace Engineering at Northumbria University, where he is affiliated with the Department of Aerospace Engineering. Previously, he held the Chair in Aerospace Engineering and led the Aerospace Research Group at the University of Pretoria until 2016. His expertise spans Aerodynamics, Aeroelasticity, Aeroacoustics, Flight Mechanics, and Multidisciplinary Optimization. He is a Fellow of the Royal Aeronautical Society, Chartered Engineer (CEng/Eur-Ing), and former President of the Aeronautical Society of South Africa (AeSSA). Dr. Dala’s educational background includes a PhD in Aerospace Engineering from the University of Manchester, alongside degrees from French Grandes Écoles such as ESTA (Aerospace Engineering) and ESTP (Mechanical/Electrical Engineering). His research employs analytical, experimental, and computational methods, particularly in transonic flow control, aeroacoustics, and multidisciplinary optimization for aerospace systems. His publications focus on advanced control strategies for autonomous systems, noise reduction in aerofoils, wind turbine aerodynamics, and nonlinear dynamics of marine vehicles. He supervises doctoral research on aerodynamics and aeroacoustics in vehicle platoons and has contributed to major projects like the EU’s FP6 NACRE initiative. Awards: Fellow of the Royal Aeronautical Society, Chartered Engineer, Fellow of the Higher Education Academy (2017). Key Roles: Former Chair in Aerospace Engineering at University of Pretoria, Advisory Group Chairman for the EU NACRE Project. Lab Affiliation: Aerospace Research Group (Northumbria).

• Aerodynamics
• Aeroelasticity
• Aeroacoustics
• +۴ مورد دیگر