Find Academic Supervisors

• Machine Learning Safety
• Autonomous Systems Engineering
• System Safety
• +3 more

Dr Colin Paterson is a Senior Lecturer in Machine Learning Safety at the University of York's Department of Computer Science, working within the Institute for Safe Autonomy (ISA). His research focuses on ensuring safety in autonomous systems, particularly addressing uncertainties in deployed systems. He holds a PhD in Computer Science (2018, York) and a prior PhD in Control Systems Engineering (1993, Coventry), alongside qualifications in education and business. Education: PhD: Computer Science, University of York (2018) PhD: Control Systems Engineering, Coventry University (1993) PGCE: Secondary Education, Leeds Trinity University (2012) BA: Business, Finance, Mathematics, Open University (2011) BEng: Computer & Control Systems Engineering, Coventry University (1990) His research interests span autonomous systems engineering, machine learning assurance, ethical AI design, and verification methodologies. He contributes to the development of safety frameworks for self-adaptive systems and has published extensively on topics like runtime safety monitors, hazard mitigation in autonomous vehicles, and transfer assurance in machine learning. Dr Paterson currently serves as GTA Coordinator and Training Officer within the department. His work emphasizes bridging theoretical safety models with practical implementation in real-world autonomous systems.

• 3D Face/Head Modeling
• Computer Vision for Self-Driving Vehicles
• Robot Manipulators
• +4 more

Professor Nick Pears is a faculty member in the Department of Computer Science at the University of York. He holds roles including Deputy Head of Department (Research) and Chair of the Departmental Research Committee. His academic career spans postdoctoral research at the University of Oxford, a Fellowship at the University of Cambridge, and progressive roles at York from Lecturer to Professor (since 2022). He holds a BSc in Engineering and a PhD in Robotics from 'Dunelm' (likely Durham University). His research focuses on 3D facial modeling, computer vision for autonomous systems, robotic manipulation, and medical imaging. He leads the Vision, Graphics and Learning research group and has contributed to advancements in morphable models, gaze estimation, and medical anomaly detection. His work bridges theoretical computer vision with practical applications in healthcare and robotics. Recent publications emphasize generative models for medical imaging, 3D face reconstruction techniques, and adaptive robotics. His research often intersects AI ethics, emphasizing safe and explainable systems for autonomous vehicles and surgical applications. He actively collaborates with clinicians and engineers to translate vision algorithms into real-world solutions. As a leader in academic research governance, he oversees York's REF submissions and departmental strategy, fostering interdisciplinary innovation. His lab maintains an open-access repository of 3D morphable models and benchmark datasets for robotic motion planning.

Kevin BauerView profile

Professor

• Artificial Intelligence
• Business Informatics
• Game Theory
• +4 more

Kevin Bauer is a Professor of Game Theory and Causal AI in Business and Economics at Goethe University Frankfurt, with his professorship integrated into the Hessian AI Center (Hessian.AI). He previously held a postdoctoral position at the SAFE Leibniz Institute for Financial Research and served as an Assistant Professor at the University of Mannheim in the Department of Business Informatics from 2023 to 2024. Education: Two Master's Degrees in Quantitative Economics (Applied Microeconomics focus) and Business Informatics (AI focus), Doctorate from Goethe University Frankfurt (2018). His research bridges business and technology, focusing on explainable AI, algorithmic transparency, causal machine learning, and human information processing. Recent work spans interdisciplinary topics like sustainable finance strategies, human-AI interaction dynamics, and market behavior analysis using causal methodologies. Recent publications reflect his commitment to advancing AI ethics, financial system stability, and decision-making frameworks through interdisciplinary approaches. Scientific Awards: Information Systems Research Best Paper Award, Association for Information Systems Senior Scholar Award. Kevin’s professional journey includes contributing to Frankfurt’s AI ecosystem via TechQuartier and analyzing AI’s financial system impact at SAFE Leibniz Institute. He currently leads the Bauer team within Goethe University’s Department of Business Information Systems, fostering collaboration across the Hessian AI Center and academic networks. His contact is bauer@wiwi.uni-frankfurt.de at Campus Westend, Theodor-W.-Adorno-Platz 4.

• Hybrid Systems
• Stochastic Modeling
• Formal Methods
• +4 more

Mathis Niehage is a Researcher and PhD Student at the University of Münster, affiliated with the Safety-Critical Systems group led by Prof. Dr. Anne Remke. His research focuses on hybrid systems analysis, simulation tools for stochastic hybrid Petri nets (HYPEG), and reinforcement learning applications. He holds a position in Room 201 and can be reached at mathis.niehage@uni-münster.de. Research Interests : Development of HYPEG, a Java library for simulating hybrid systems with random variables Extensions of hybrid Petri nets with general transitions Integration of reinforcement learning in stochastic hybrid systems Nondeterminism resolution using optimizing schedulers Teaching Contributions : Winter 2024/25: Programming in Java Summer 2024: Modeling with Automata and Probabilities Winter 2023/24: Capstone Project on Malware and Botnets Previously taught courses on functional programming, model checking, and compiler construction Key Publications (2018–2025): Niehage has contributed to seminal works on hybrid system simulation, stochastic modeling, and formal verification. His research bridges symbolic state-space exploration with statistical model checking, advancing methodologies for optimal decision-making in uncertain environments. Awards : 2023 Best Paper Award from the European Alliance for Innovation (EAI) Labs/Teams : Member of the Safety-Critical Systems group, collaborating on projects involving hybrid systems dependability and formal verification techniques.

• Maritime Transportation
• Failure Mode Effect Analysis
• Marine Engineering Systems
• +6 more

Kadir Cicek is an Associate Professor at the Department of Marine Engineering, Istanbul Technical University. His research focuses on maritime safety systems, failure analysis, and maritime education innovation. He has published extensively on topics like ship inspection analytics, risk assessment models, and digital transformation in maritime management. He leads research on failure mode effect analysis (FMEA), intelligent ship inspection methods, and compliance strategies for international maritime regulations (e.g., ISM Code). His work contributes to UN Sustainable Development Goals related to safe and sustainable marine operations. Projects : Developing TMSA 3.0-based competency monitoring for tanker management Ship Engine Reliability House project Digitalization of tanker fleet safety systems Awards : Best Reviewer Award 2017 Above Threshold Reward (2015) Above Threshold Award (2018) Research Themes : Maritime safety and risk mitigation AI-driven decision support systems Maritime education methodology His recent work emphasizes predictive analytics for ship deficiencies, cost evaluation frameworks in maritime logistics, and fuzzy logic applications in instructional design. He collaborates globally on port state control optimization and digital maturity assessments for ship management firms.

• Music Education
• Adolescent Identity Formation
• Narrative Inquiry
• +3 more

Jason Goopy is a Professor in the School of Education at Edith Cowan University, specializing in music education research with a focus on adolescent identity formation. His work bridges music education, psychology, and narrative inquiry methodologies to explore how musical experiences shape young people's identities and wellbeing. Goopy's research centers on musical identity construction among adolescents, particularly teenage boys in Australian educational contexts. His methodology combines narrative inquiry with innovative draw and tell interviews to capture nuanced individual experiences. Key research areas include identity work processes, possible selves theory, and the intersection of music education with mental health. His 2024 book Teenage Boys, Musical Identities, and Music Education: An Australian Narrative Inquiry represents a significant contribution to understanding diverse musical identities in single-sex school environments. Analysis of Goopy's recent publications reveals a consistent focus on identity dynamics across multiple contexts - from choir participation to teacher development. His work increasingly addresses inclusive practices, particularly regarding gender identity in music education settings. The research demonstrates strong methodological diversity, employing both qualitative narrative approaches and scoping reviews to examine wellbeing outcomes. Goopy actively contributes to policy development through submissions to national cultural frameworks and music education advocacy networks like the Access to Music for Inclusion and Equity (AMIE) network. His scholarship demonstrates significant international engagement through collaborations examining cross-cultural teacher education practices and global music education standards.

Mohamed Abdel-AtyView profile

Professor

• Traffic Safety
• Intelligent Transportation Systems
• Connected and Automated Vehicles
• +12 more

Mohamed Abdel-Aty is a Pegasus Professor and former Chair of the Department of Civil, Environmental and Construction Engineering at the University of Central Florida (UCF), College of Engineering and Computer Science. He holds the prestigious Trustee Chair and is globally recognized for his transformative work in transportation safety and intelligent transportation systems. Education: Ph.D. in Civil Engineering, University of California, Davis, 1995 His research focuses on traffic safety, big data analytics, connected and automated vehicles, real-time crash prediction, and active traffic management. He has pioneered methods that shift road safety from reactive to proactive, using real-time data to predict crashes 5–10 minutes in advance. His work integrates machine learning, simulation, and computer vision to enhance transportation safety and efficiency. His recent publications reflect a strong trend in applying advanced statistical and AI models—such as random parameters, bivariate probit, and mixture-of-experts architectures—to analyze crash severity, vehicle conflicts, driver behavior, and trajectory prediction. These studies leverage real-world data from connected vehicles, drones, and traffic sensors, emphasizing practical implementation and policy impact. Scientific Awards and Honors: Pegasus Professor, UCF (2015) Trustee Chair, UCF (2017) Roy W. Crum Distinguished Service Award, TRB (2020) Prince Michael International Road Safety Award (2019) Francis C. Turner Award, ASCE (2019) Clarivate Highly Cited Researcher (2020–2023) UCF Medal of Societal Impact (2025) Lifetime Achievement Safety Award, ARTBA (2019) Abdel-Aty has secured over $32 million in research funding and has graduated 44 Ph.D. and 63 master’s students. He currently mentors 15 Ph.D. students. He served as graduate program coordinator and led the development of UCF’s master’s program in smart cities. He is Editor-in-Chief of Accident Analysis & Prevention and serves on multiple editorial boards, significantly shaping the field’s scholarly discourse. He leads the UCF Smart and Safe Transportation (SST) Lab, which developed CitySim—a drone-collected trajectory database used by over 480 researchers globally. His team created software for detecting traffic conflicts and near-misses, and their real-time crash risk prediction system is implemented by the Florida Department of Transportation and emulated internationally.

Jessa RogersView profile

Research Fellow

• Indigenous Studies
• Education
• Anthropology
• +3 more

Jessa Rogers is a Wiradjuri educator, artist, and researcher with affiliations across multiple institutions. She serves as a Co-Investigator on the Success Factors for Indigenous PhD Candidates and Graduates project and acts as a Teacher Education Advisor for Ako Matatupu in Aotearoa NZ. Her expertise bridges Indigenous studies, education, and cultural research. Education : PhD in Indigenous Studies (ANU), Master of Education (Guidance & Counselling), Bachelor of Education (First Class Honours), and Bachelor of Creative Industries (Drama), all from Australian universities. Research Focus : Indigenous education, cultural methodologies, and higher education leadership, with particular attention to boarding schools, educational equity, and Indigenous worldviews. Publications : Contributions to literacy pedagogy, Indigenous research methodologies, and educational reform, spanning peer-reviewed journals, edited volumes, and media articles. Awards : Churchill Fellowship, Fulbright Scholarship, ANU Postgraduate Student of the Year, and multiple teaching and reconciliation honors. Leadership Roles : Serves on editorial boards, advisory committees, and trusts including the Nursing and Midwifery Board of Australia and Hato Paora College Trust Board.

• Intelligent Transport Systems (ITS)
• Road Safety
• Human Factors Engineering
• +4 more

Professor Andry Rakotonirainy is a renowned expert in road safety and Intelligent Transport Systems (ITS) at QUT's Faculty of Health, School of Psychology & Counselling. He holds a PhD in Computer Science from Sorbonne University and INRIA, France. His research focuses on human factors in ITS, leveraging computer science, engineering, and psychology to improve road safety. He leads the ITS human factors program at CARRS-Q and the Centre for Future Mobility, with over $76M in research grants. Key roles include ARC College of Experts membership and EU project advisory roles. Research Interests: Connected and Automated Vehicles (CAVs) Eco-safe driving systems Human-Machine Interaction Driver Behavior Analysis Transportation Policy Projects: EU-funded LEVITATE (€6.4M) studying societal impacts of CAVs Queensland CAVI-iMOVE CRC initiative ARC grants on AI explainability and AV safety Achievements: Over 300 publications, h-index 45, and 14 ARC grants. Established ICCAM with Université Gustave Eiffel. Advising & Grants: Supervised 6 doctoral and 2 master's students. Active in government/industry committees and grant reviews. Labs/Teams: CARRS-Q, Centre for Future Mobility, and ICCAM collaboration.

Tom CavanaghView profile

Lecturer

• Restorative Justice
• Educational Leadership
• School-to-Prison Pipeline
• +3 more

Tom Cavanagh is an Instructor in the Department of Ethnic Studies at Colorado State University. His research focuses on restorative justice in educational settings, culturally responsive pedagogy, and addressing systemic inequities in schools. He holds graduate degrees in Organizational Leadership (Regis University) and Educational Leadership (Colorado State University). His work explores how schools can foster peaceful environments through a 'culture of care,' particularly in addressing the school-to-prison pipeline affecting marginalized students. Dr. Cavanagh’s career includes a Fulbright Fellowship in New Zealand (2003) and extensive collaboration with the Te Kotahitanga research project at the University of Waikato. His work integrates indigenous methodologies, emphasizing culturally appropriate approaches to education and conflict resolution. Key publications include studies on restorative justice in schools, psychosocial analyses of school cultures, and culturally safe educational practices for Māori students. His research spans global contexts, with a focus on Latino/Hispanic student advocacy, online pedagogy, and the intersection of peace education with systemic violence. Awards include the Fulbright Fellowship, recognizing his contributions to cross-cultural educational equity. Dr. Cavanagh’s advising and grant work centers on bridging academic theory with community practice, though specific grants are not detailed in the text. His website, www.restorativejustice.com, showcases his publications and advocacy efforts.

Wendy L. BeckerView profile

Associate Professor

• Social and Economic Justice
• Women's Issues
• Welfare and Poverty
• +6 more

Dr. Wendy L. Becker is an Associate Professor at the School of Social Work, Rhode Island College, where she has served since July 2005. She is based in Guardo Hall and teaches a comprehensive range of courses in generalist social work, field practice, and human behavior. Her academic and professional focus centers on social justice, gender, and community advocacy. Education: PhD, Northeastern University, May 2005 MSW, Boston University School of Social Work BA, Brown University Dr. Becker's research and practice expertise lies in social and economic justice, women’s issues, welfare and poverty, and sexuality and gender identity . Her work integrates clinical practice with systemic advocacy, particularly for marginalized populations including LGBTQ+ youth and survivors of domestic violence. She emphasizes experiential learning through fieldwork and seminar-based instruction. Her service contributions reflect her commitment to equity and justice. She is actively engaged with several state and community organizations, including the RI Task Force on Gay, Lesbian, Bisexual and Transgender Youth, the Safe Schools Institute, the Haymarket People's Fund, the VOCA Review Committee, the Governor's Justice Commission, and the Welfare Implementation Task Force. Dr. Becker has not published any research articles in the provided text, but her teaching and service indicate a strong applied focus in clinical and macro-level social work. She supervises independent studies (SWRK 490/590) and advanced fieldwork, suggesting mentorship of students in applied settings. Current Teaching: Generalist Social Work Creating Change through Practice Field Seminar

Elfrid Oddny MåløyView profile

Associate Professor

• Medication Management
• Patient Safety
• Adverse Drug Reactions
• +3 more

Elfrid Oddny Måløy is an Associate Professor in Nursing at the Faculty of Health Sciences and Social Care , Molde University College. Her work focuses on medication management, patient safety, and interprofessional collaboration in healthcare settings. Research Interests : She explores challenges in medication handling for elderly and vulnerable populations, emphasizing systemic improvements and ethical approaches. Her studies address adverse drug reactions, structural responsibilities, and educational interventions. Publications highlight trends in medication safety across home care and nursing homes, with sub-fields including geriatric care, intellectual disability nursing, and interprofessional frameworks. Projects : She leads research on the Nurse-led Norwegian Adverse Drug Reaction (ADRe) Profile and medication reviews in primary healthcare. Other Contributions : She has developed educational programs like "Trygg legemiddelhåndtering" (Safe Medication Handling) and contributed to policy discussions on healthcare quality.

• Programming Languages
• Information Security
• Software Security
• +12 more

Dr Yi Lu is a Senior Lecturer at the Queensland University of Technology (QUT), Faculty of Science, School of Computer Science. He serves as Deputy Academic Lead (HDR) for the School of Computer Science, contributing to higher degree research leadership. His academic journey includes a PhD in Computer Science from the University of New South Wales (2008) and prior roles as a Lecturer at UNSW (2007–2013) and Principal Researcher at Oracle Labs (2013–2019). PhD in Computer Science, University of New South Wales, 2008 Bachelor of Information Technology (Honours), Queensland University of Technology, 2002 Dr Lu's research lies at the intersection of programming languages and information security, with a focus on theoretical and practical aspects of software security. His work includes type systems for object synchronization, ownership types, information flow control, and the application of deep learning to vulnerability detection. He has made significant contributions to static analysis, points-to analysis, and secure multithreaded programming. His recent publications span topics such as threat hunting in industrial control systems, nontransitive security types, and multi-class vulnerability prediction using graph neural networks. These works reflect a strong trend toward combining formal methods with machine learning to enhance software security, particularly in complex and critical systems. Dr Lu has been involved in significant research initiatives, including the Cyber Security Cooperative Research Centre and the ARC Linkage Project on Java language-based security conformance. His industry experience at Oracle Labs led to patented solutions for real-world cybersecurity problems, demonstrating the practical impact of his research. He supervises research projects on fine-grained vulnerability detection, reproducible deep learning workflows, and open-source supply chain analysis. His teaching includes courses such as Principles of Software Security and Object-Oriented Design, aligning closely with his research expertise. Dr Lu is affiliated with the School of Computer Science at QUT, a research-active unit within the Faculty of Science, contributing to cybersecurity education and innovation in Australia.

• E-learning
• Computer Science Education
• Educational Technology
• +4 more

Janko Žufić, M.Sc.ing, is a Senior Lecturer at the Faculty of Educational Sciences, University of Pula, Croatia. He holds degrees in Electrical Engineering with a major in Automation from the Faculty of Electrical Engineering and Computing (FER) in Zagreb (1993) and pedagogical competences acquired in 2001. A certified computer science professor since 2002, he has dedicated his career to bridging technology and education, with particular emphasis on e-learning systems and computer science education. Employment History: Private sector work (1993-1999), teaching roles in primary/secondary schools (1998-2002), head of IT support at Faculty of Educational Sciences (2002-present), Senior Lecturer since 2007, and part-time teacher at Algebra Group. Research Focus: E-learning optimization, microlearning, educational technology design, programming pedagogy for elementary grades, and human factors in computing. His scholarly work spans 20+ publications, with recent studies exploring ChatGPT's educational implications (2025), video-based microlearning (2024), and gamification in computer science education (2022). He has also contributed to understanding the role of color and typography in digital learning environments (2009-2019). Žufić's practical expertise includes developing Web 2.0 tools for educators (2017), creating three books, and mentoring students in producing approximately 50 films. As an active project manager, he has coordinated two EU-funded initiatives and over 80 smaller projects focused on social and technical sciences, supported by organizations ranging from Zagreb Bank to Croatian employment agencies and Istrian municipalities. His academic rank was last renewed on January 24, 2018, within the field of Information and Communication Sciences, specializing in Information Systems.

• Safe Staffing
• Operational Research in Healthcare
• Health Workforce Management
• +3 more

Christina Saville is a Lecturer in Healthcare Management and Leadership at the University of Southampton's School of Health Sciences, where she conducts research within the Health Workforce and Systems group. Her work focuses on applying operational research techniques to healthcare staffing challenges, primarily funded by the National Institute for Health Research (NIHR). Her research interests center on safe staffing methodologies , operational research applications in healthcare , and health workforce optimization . She employs quantitative methods including multi-level regression and simulation modeling to analyze nurse staffing configurations, workload prediction from electronic health records, and cost-effectiveness of staffing interventions. Current projects include PREDICT-NURSE (feasibility and extension studies) and SEISMIC 2, with active collaboration with NHS Improvement to develop evidence-based staffing frameworks. Dr. Saville's publications demonstrate consistent contributions to healthcare management literature, particularly in nurse staffing outcomes, economic evaluations, and predictive modeling. Her research shows increasing influence in shaping national staffing guidance through frameworks like the Professional Judgement Framework. Dean's Prize for Citizenship (2021) School of Health Sciences Fellowship (2023) As an educator, she lectures on the MSc Leadership and Management in Health and Social Care programme, supervises nursing dissertations, and teaches quantitative techniques including operational research and data science applications. Her research integrates with the Institute for Life Sciences and Centre for Operational Research, Management Science and Information Systems (CORMSIS), focusing on translating mathematical modeling into practical healthcare decision-making tools for workforce optimization.