Find Academic Supervisors

• Sustainable Diets
• Food System Behaviour Change
• Meat Consumption Reduction
• +2 more

David McBey is an Advanced Research Fellow at the University of Aberdeen's School of Medicine, Medical Sciences and Nutrition, based at the Rowett Institute on Foresterhill Campus. His work focuses on sustainable and healthy diets within the Scottish Government RESAS programme, examining pathways to dietary change across the food system. His educational background includes a PhD in Sociology (2017), MRes in Social Research (2008), and MA in Sociology (2007), all from the University of Aberdeen. Previously, he worked in the University of Aberdeen Environmental Modelling Group on agricultural practices in China and Ethiopia. McBey's research centers on behavior change mechanisms for sustainable diets, with particular emphasis on meat consumption reduction. His work integrates sociological perspectives with nutritional science to address food system transformation. Recent publications analyze public attitudes toward sustainable diets, youth perspectives, meat-eating contexts, and policy interventions for dietary shifts. He actively supervises PhD students in Sociology, currently guiding Tonwong Sudto's research on Thai rice farmers' sustainable agriculture intentions and Aura Anderson-Ross's study on service robots promoting sustainable buyer choices in supermarkets. His teaching includes Sustainable Diets and Global Food Systems (RN5506), previously teaching Worlds of Food, Introduction to Sociology, and foundational Sociology courses. Based at the Rowett Institute, McBey collaborates on the Scottish Government RESAS programme and contributes to interdisciplinary projects including WWF's net-zero agriculture pathways and Food Standards Scotland dietary pricing research. His work bridges academic research with practical policy applications for sustainable food systems.

Chongfeng WeiView profile

Associate Professor

• Decision-making and Planning of Intelligent Vehicles
• Collective Autonomy
• Robotic System Design
• +5 more

Dr. Chongfeng Wei is an Associate Professor (University Senior Lecturer) at the James Watt School of Engineering, University of Glasgow. Prior to joining the University of Glasgow, he was a lecturer at Queen's University Belfast. His research focuses on intelligent vehicles, autonomous systems, and human-robot interaction, with applications in transportation and robotics. Dr. Wei's research spans several key areas in autonomous systems and vehicle dynamics: Decision-making and Planning of Intelligent Vehicles Collective Autonomy: Perception and Planning Robotic System Design and Dynamical Control Dynamics and Control of Mechanical Systems Human Behaviour Study and Prediction His recent publications demonstrate a strong focus on human-vehicle interaction, with particular emphasis on pedestrian-vehicle interactions, decision-making frameworks, and control strategies for autonomous systems. His work often combines AI technologies, bio-designs, and first principles of dynamics and control to create smarter or human-acceptable autonomous systems. Dr. Wei serves as an Associate Editor for several prestigious journals including IEEE Transactions on Intelligent Transportation Systems (TITS), IEEE Transactions on Vehicular Technology (TVT), IEEE Transactions on Intelligent Vehicles (TIV), IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS), and Frontiers on AI and Robotics. He actively supervises PhD students and postdoctoral researchers, with current projects focusing on vision-based 3D flow prediction, pedestrian interaction modeling, and multimodal interaction for behavior prediction in autonomous driving.

Edmund R HuntView profile

Senior Lecturer

• Collective behaviour
• Swarm robotics
• Complex systems
• +7 more

Dr. Edmund R Hunt is a Senior Lecturer in Robotics at the University of Bristol, working within the School of Engineering Mathematics and Technology and the Department of Engineering Mathematics. Since 2021, he has held a prestigious Royal Academy of Engineering Research Fellowship. His research group, the Hunt Lab, focuses on deploying robot swarms into real-world environments for practical applications, particularly in environmental monitoring. Education: PhD in Complexity Sciences (2012-2016), University of Bristol MPhil in Economics (2007-2009), University of Oxford BSc in Physics with Theoretical Physics (2004-2007), Imperial College London Dr. Hunt's research bridges collective animal behavior and swarm robotics, developing bioinspired approaches for real-world robot deployments. His work emphasizes smaller-scale swarms (4-10 robots) using sophisticated ROS-based systems that can navigate complex environments. Key research themes include multi-robot patrolling, trust in human-robot teams, behavioral plasticity in swarms, and environmental monitoring applications. His group conducts experiments both indoors on campus and in outdoor locations including Bristol's harbourside and Fenswood Farm. Analysis of Dr. Hunt's recent publications reveals a strong focus on practical swarm robotics applications, particularly in environmental monitoring and security. His work increasingly integrates human-robot teaming concepts, trust modeling, and bioinspired algorithms. The research shows progression from theoretical swarm concepts toward field-deployable systems with real-world applications in atmospheric measurement, biodiversity monitoring, and security patrolling. Scientific Awards: British Science Festival 2021 Award Lecture Winner for Digital Innovation 3rd Place in EPSRC Photography Competition 2018 EPSRC Doctoral Prize Fellow (2017) UK Intelligence Community Postdoctoral Fellow (2019-2021) Royal Academy of Engineering Research Fellow (2021-2026) Dr. Hunt actively supervises multiple PhD students working on diverse aspects of swarm robotics, including multi-robot patrolling, atmospheric electricity measurement, and behavioral plasticity. His current research is supported by significant grants including the £1.2M EPSRC-funded 'Satisficing Trust in Human-Robot Teams' project (2023-2026) and the T-B PHASE Prosperity Partnership with Thales. He previously held research fellowships from EPSRC and UK Intelligence Community funding. The Hunt Lab operates across multiple Bristol facilities including the Bristol Robotics Laboratory on UWE campus, field testing at Fenswood Farm in Long Ashton, and day-to-day operations on the Clifton campus. The lab works with various robot platforms including Leo Rovers for field experiments and has previously used Kilobots for conceptual swarm research. Current projects explore heterogeneous swarms incorporating different robot types for specialized environmental monitoring tasks.

Yueqing LiView profile

Associate Professor

• Human Factors and Ergonomics
• Neuroergonomics
• Brain-Computer Interfaces
• +4 more

Dr. Yueqing Li serves as an Associate Professor in the Department of Industrial and Systems Engineering within Lamar University's College of Engineering. His expertise spans neuroergonomics, human-computer interaction, and data analytics with significant contributions to transportation safety and assistive technologies. Dr. Li's educational foundation includes: Ph.D. in Industrial Engineering from North Carolina State University M.S. in Industrial Engineering from University of Arkansas M.S. in Economics from Nanjing University of Aeronautics and Astronautics B.S. in Electronics Engineering from Zhengzhou University His research program integrates neuroergonomics (BCI systems, neurocognitive processing), human-computer interaction (haptic interfaces, AR-based systems), human factors engineering (driving safety, occupational ergonomics), and data science (machine learning applications for safety analytics). Current projects focus on UAV security systems, pipeline leak detection, and transportation resilience in extreme weather. Analysis of Dr. Li's 15 most recent publications reveals dominant themes in transportation safety (32% of works), neuroergonomics applications (28%), and machine learning for safety engineering (24%). His Southeast Texas-focused crash severity studies demonstrate methodological innovation through CART and fuzzy systems, while his BCI research bridges rehabilitation engineering and human factors. Key recognitions include: Engineering Faculty Fellow (Lamar University College of Engineering, 2017-2020) Eric Malstrom Endowed Memorial Scholarship (University of Arkansas) Multiple university-level teaching and research awards across three institutions Dr. Li actively mentors graduate students (11 primary advisees since 2017) and secures substantial research funding, including $516,031 from NSF for high-performance computing infrastructure and $33,172 from the Center for Advances in Port Management for autonomous freight safety. His $600,000+ grant portfolio addresses critical challenges in port security, pipeline monitoring, and transportation resilience. The Human Factors and Ergonomics Laboratory under Dr. Li's direction features 16-channel EEG systems, BIOPAC data acquisition suites, wireless EMG/ECG modules, driving simulators, and Gazepoint eye tracking technology. His research team collaborates with TEES and the Texas Department of Transportation on interdisciplinary projects spanning neuroergonomics, transportation safety, and assistive technology development.

• Pediatric Rehabilitation
• Cerebral Palsy
• Child Motor Development
• +4 more

Lesley Pritchard, PT, PhD, is a Professor in the Department of Physical Therapy within the Faculty of Rehabilitation Medicine at the University of Alberta. Her work bridges clinical practice and academic research in pediatric rehabilitation, with active teaching responsibilities including PTHER 563 (Gross Motor Development and Pediatric Physical Therapy) and REHAB 601 (Research Design in Rehabilitation Research). Her educational foundation includes: PhD in Rehabilitation Medicine (University of Alberta, 2008) MScPT (University of Alberta, 2002) BScPT (University of Alberta, 1996) Dr. Pritchard's research centers on improving rehabilitation outcomes for children with motor disabilities, particularly through understanding family perspectives on service delivery and developing evidence-based interventions for cerebral palsy. She investigates community participation barriers and designs child-focused rehabilitation approaches that prioritize functional outcomes in natural environments. Her recent publication trends (2022-2025) reveal a strategic focus on implementation science and translational research. Key themes include validation of assessment tools like the Gross Motor Family Report, qualitative exploration of family experiences with orthotics and telehealth, and rigorous evaluation of innovative interventions such as robotic gait training. There is strong emphasis on mixed-methods designs and multi-center trials that bridge clinical practice and research evidence. No scientific awards are documented in the provided materials. As a graduate supervisor, Dr. Pritchard mentors students in rehabilitation research methodology while securing substantial grant funding for projects like the ENGAGE study on goal setting and TIPS for telehealth implementation. Her work demonstrates consistent collaboration with interdisciplinary teams across clinical, academic, and policy domains. She leads the ENGAGE research group focused on child-centered rehabilitation and contributes to the University of Alberta's Pediatric Rehabilitation Research cluster, collaborating with clinicians, families, and international researchers to advance evidence-based service delivery models.