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Hocine IMINE is a Research Director at Gustave Eiffel University, where he has been working since 2021 after previously joining IFSTTAR (French institute of science and technology for transport, development and networks) in 2005. He holds a PhD in Robotics and Automation from Versailles University (2003) and received his HDR (Habilitation à Diriger des Recherches) from Valenciennes University in 2012. He serves as Cohead of NEXTRIM Associated International Laboratory, established in 2021 with the University of Bologna, Italy. His primary research interests span Intelligent Transportation Systems, vehicle modeling and stability, nonlinear observation and control, simulation technologies, and cycling safety. Dr. IMINE has developed expertise in both heavy vehicle dynamics and bicycle/cyclist safety, with recent work focusing on bicycle simulators, cycling infrastructure assessment, and multimodal transportation systems. His research bridges theoretical control systems with practical transportation safety applications. Analysis of his recent publications reveals a clear evolution from heavy vehicle dynamics toward more comprehensive transportation systems research, with significant emphasis on vulnerable road users like cyclists. His work demonstrates strong methodological consistency in applying advanced control theory and observation techniques to transportation problems, while expanding into human factors and infrastructure assessment. Dr. IMINE actively supervises research students and collaborates with international partners, particularly through the NEXTRIM laboratory. His research group at the Perceptions, Interactions, Behaviors and Simulations Lab for road and street users (PICS-L) develops advanced simulation technologies for transportation safety research. Current projects focus on bicycle simulators, cycling infrastructure assessment, and multimodal transportation systems integration.

• Intelligent Transportation Systems
• Vehicle Modeling and Stability
• Nonlinear Observation
• +4 more

Dr. Lee Christie is a Research Fellow at Robert Gordon University's School of Computing, Engineering & Technology, where he conducts research in optimization and artificial intelligence. He is affiliated with the Complex Optimisation Research Group and maintains connections with the National Subsea Centre through his research on net-zero operations. His educational background includes: BSc (Hons) in Computer Science from Robert Gordon University (2003-2007) MSc in Information Engineering (Distinction) from Robert Gordon University (2009-2011, part-time) PhD in Computational Intelligence from Robert Gordon University (2011-2016) Dr. Christie's research primarily focuses on combinatorial optimization, structure learning, and blockchain technologies. He investigates how to make non-deterministic solvers more transparent through trajectory mining and feature extraction. His work bridges theoretical optimization techniques with practical applications in transportation systems (particularly connected autonomous vehicles), renewable energy (wind farm optimization), and supply chain management. He has published extensively on explainable metaheuristics, with a growing emphasis on making optimization algorithms interpretable for end-users while maintaining effectiveness. His recent publications (2021-2025) demonstrate a clear research trajectory toward explainable AI for optimization algorithms, with applications spanning transportation systems, renewable energy infrastructure, and complex supply chains. These works showcase his ability to translate theoretical advances into practical solutions for real-world problems with societal impact. Dr. Christie has secured research funding for projects including the A.R.T. Forum NSR (2019-2022), which developed implementation roadmaps for automated road transport in the North Sea Region. He teaches programming for business analytics courses and actively contributes to the Aberdeen Python User Group as a steering committee member. His academic service includes supervision of PhD students, with Dr. Martin Fyvie recently completing a dissertation on 'Explainability of Non-Deterministic Solvers' under his guidance as second supervisor. Dr. Christie maintains active collaborations with researchers including John McCall, A.-C. Zăvoianu, and A.E.I. Brownlee, resulting in consistent publication output across reputable venues in evolutionary computation and artificial intelligence.

• Combinatorial Optimisation
• Explainable AI
• Metaheuristics
• +7 more

Farrukh Baig serves as a Lecturer at the Department of City and Regional Planning, University of Management and Technology, Lahore, Pakistan, while completing graduate studies at Central South University, China (2020-2025). He holds professional recognition as an Associate member of the American Society of Civil Engineering's Safety Committee, reflecting his transportation safety expertise. Dr. Baig's research centers on critical urban mobility challenges, with primary focus areas including Road Safety, Transport Planning, Urban Planning, Travel Behavior and Health, and Autonomous/Connected Vehicle systems. His work uniquely addresses developing-world contexts through Lahore-based case studies examining smog impacts on travel behavior, barriers to electric vehicle adoption, and public acceptance of smart transportation solutions. This Pakistan-China research nexus combines engineering analysis with behavioral science to tackle sustainable mobility challenges. 2025 has been exceptionally productive with five publications spanning transportation engineering, mathematical physics, and environmental science. His output demonstrates strong interdisciplinary range—from modeling chemotaxis on fractal terrains in Physical Review E to urban policy analysis in Journal of Urban Planning and Development—while maintaining consistent focus on real-world transportation problems in Global South contexts. Dr. Baig maintains an active international collaboration network with researchers from China, United States, and Pakistan, evidenced by co-authorships with Central South University, American University of the Middle East, and domestic Pakistani institutions. His professional service through ASCE complements his research in transportation safety standards development.

• Road Safety
• Transport Planning
• Urban Planning
• +2 more

Anne-Marie Tunney is a Lecturer in Nursing at Ulster University, specifically within the School of Nursing and Paramedic Science, Faculty of Life & Health Sciences. She is based at the Magee Campus in Derry~Londonderry, with her office located in Room MG235 at Northlands Road, Londonderry, BT48 7JL, United Kingdom. Her research profile encompasses several interconnected areas of nursing and healthcare: Health Promotion Design-Based Approach Loneliness in patient populations Stroke Patient Care Tonsillectomy and Adenoidectomy procedures Coping Strategies and Behaviors Self-Report Methodologies Dr. Tunney's research focuses on patient-centered care approaches, with particular attention to understanding and improving healthcare experiences for vulnerable populations. Her work often employs qualitative methods to capture patient and caregiver perspectives, as evidenced by her publications on stroke services and pediatric surgical anxiety. Her research demonstrates strong connections to psychology within healthcare contexts and contributes to UN Sustainable Development Goals related to health and wellbeing. Her publication record shows consistent research activity with meaningful impact, particularly her work on pediatric anxiety which has been cited 28 times and referenced in policy documents. Her research trajectory demonstrates a commitment to translating findings into practical healthcare improvements. As a lecturer, Dr. Tunney contributes to nursing education at Ulster University, likely incorporating her research expertise into teaching. Her 2016 conference contribution suggests an interest in innovative educational approaches that integrate teamwork, technology, and innovation into healthcare education.

• Health Promotion
• Design-Based Approach
• Loneliness
• +5 more

Dr. Ruxin Wang is a tenure-track Assistant Professor in the Department of Computer Science at the University of Texas--San Antonio's College of AI, Cyber and Computing. She leads the Cybersecurity, Privacy, and Healthcare Lab (CypherLab), focusing on cutting-edge research in security systems and healthcare technology. Her educational background includes a Ph.D. in Computer Science from Southern Methodist University, an M.S. from Syracuse University, and a B.S. from Northeast Forestry University. Dr. Wang's research bridges Cybersecurity , Privacy , and AI-Driven Healthcare through innovative applications of mobile sensing and AR/MR technologies. Her work explores: Low-effort biometric authentication using hand geometry Distracted driving detection via device gripping patterns Healthcare monitoring with off-the-shelf smart glasses Novel security applications for everyday devices (e.g., Bluetooth headphones) Her recent publications demonstrate strong focus on human-centric security solutions and health monitoring systems , with recurring themes in wearable technology and real-time sensing algorithms. Recent works include drinking monitoring via AR glasses (2025) and VR headset authentication (2023). Honors include: CPS Rising Star 2024 (University of Virginia) IEEE SP23 Travel Grant ACM MobiCom Fellowships and Travel Awards Undergraduate Honors from Northeast Forestry University Dr. Wang actively contributes to academic instruction in cybersecurity and mobile systems, and welcomes research interns to CypherLab. Her industry experience includes roles at Wyze and HSBC Bank.

• Cybersecurity
• Privacy
• Mobile Sensing
• +4 more