Find Academic Supervisors

Rune Møller JensenView profile

Associate Professor

• Container Vessel Stowage Planning
• Operations Research
• Optimization Methods (Metaheuristics, Constraint Programming)
• +3 more

Rune Møller Jensen is an Associate Professor in Data Science and Head of The Maritime Hub at the IT University of Copenhagen. He specializes in container vessel stowage planning optimization, with expertise in metaheuristics, constraint programming, and mathematical programming. His work bridges academia and industry through projects like churn prediction and AIS-based ETA forecasting. He co-founded Sealytix, a leading stowage analytics firm, and previously led Optivation until 2022. Jensen holds awards including the Hede Nielsen Prize (2005) and The McKinsey Award (1998). Education: Studied Symbolic AI at Carnegie Mellon University (CMU). Research focuses on optimizing maritime logistics, energy-efficient transportation, and decision support systems for liner shipping. Key projects include Greenship (2014-2016), REALCAP (2016-2018), and BAYSTOW (2008-2012). Media engagements include discussions on AI ethics and industry collaboration. His research portfolio spans 86 publications and 10+ projects, emphasizing optimization algorithms and real-world maritime applications. As head of The Maritime Hub, he supports emerging researchers through interdisciplinary initiatives.

• Clinical Psychology
• Child Mental Health
• Cognitive Behavioral Therapy (CBT)
• +3 more

Dr. Helen Barker Leveque is a Senior Clinical Tutor and Module Lead at King's College London's Institute of Psychiatry, Psychology & Neuroscience, within the School of Mental Health & Psychological Sciences and Department of Psychology. She coordinates the Children Well-being Practitioners postgraduate certificate, overseeing curriculum development, timetabling, and student clinical placements. Her roles include supporting service development at clinical sites and teaching on the CYP-IAPT CBT Module and Education Mental Health Worker Postgraduate Diploma. Her work focuses on integrating clinical practice with educational frameworks, emphasizing child mental health and evidence-based interventions like CBT. She actively contributes to training mental health professionals and enhancing service delivery in clinical settings.

• Educational Technology
• Artificial Intelligence in Education
• Computer Science Education
• +4 more

Jesús Sánchez Allende is a Professor in the Department of Quantitative Methods at CUNEF Universidad, where he has been affiliated since September 2021. He holds a PhD from Universidad Politécnica de Madrid. Previously, he served as a Full Professor at Universidad Alfonso X el Sabio, where he held leadership positions including Head of Studies for engineering and computer science programs and Director of Master's programs. His research focuses on: Educational technology integration in higher education Artificial intelligence applications in teaching and learning Innovative pedagogical approaches (blended learning, gamification) Curriculum development for technical disciplines Computer science education methodologies An analysis of his publication portfolio reveals strong emphasis on educational innovation, particularly: Integration of AI tools like ChatGPT in academic settings Development of digital assessment and personalized learning systems Effectiveness of blended learning models in STEM education Application of computational methods to solve educational challenges Gamification strategies for technical subjects His professional accomplishments include: Supervision of six doctoral theses and over 100 master's/final projects Participation in national and European research initiatives Co-authorship of five books on programming and networks Patent co-development with industrial partner SACYR

Nysret MusliuView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Optimization
• +6 more

Nysret Musliu is an Associate Professor and Head of the Christian Doppler Laboratory for Artificial Intelligence and Optimization for Planning and Scheduling at TU Wien (Vienna University of Technology). He holds a PhD in Computer Science from TU Wien (2001) and a Habilitation (2007). His research focuses on AI techniques, optimization, scheduling, and timetabling, with applications in workforce scheduling, combinatorial optimization, and constraint satisfaction. Education: PhD in Computer Science, TU Wien, 2001 Habilitation in Applied Computer Sciences, TU Wien, 2007 MSc (Dipl.-Ing) in Computer Science, University of Prishtina, 1996 Research Interests: His work addresses AI-driven solutions for scheduling problems, including staff scheduling, timetabling (e.g., high school timetabling), and combinatorial optimization. He has developed algorithms for tree/hypertree decompositions and hybrid methods combining constraint programming with metaheuristics. Grants & Leadership: Project leader of the Christian Doppler Laboratory (2017–2024) Funded projects: ARTE (employee scheduling), Softnet Austria, Hypertree Decompositions Professional Activities: Conference chairs for CPAIOR 2021/2020 and PATAT 2018 Editorial roles in Constraints Journal and Journal of Mathematical Modelling and Algorithms Program committee member for IJCAI, AAAI, and GECCO Teaching: He teaches courses on artificial intelligence, problem-solving techniques, and machine learning at TU Wien. Lab & Teams: Leads the Christian Doppler Laboratory and collaborates with industry partners like Bosch and Ximes Corp.

Marco ChiarandiniView profile

Associate Professor

• Operations Research
• Optimization Algorithms
• Integer Programming
• +10 more

Marco Chiarandini is an Associate Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark (SDU), with a secondary affiliation to the SDU Climate Cluster. His research focuses on Operations Research, Optimization Algorithms, and their applications in domains such as transportation, healthcare, and education. He has led or contributed to projects addressing dynamic traffic estimation, dementia care app design, and sustainable software development. Chiarandini has supervised students including P. Tampakis and C. McCarthy, and his work has been featured in interdisciplinary collaborations with institutions globally. His recent articles explore topics like goal-scoring prediction in football and urban traffic modeling, reflecting his expertise in data science and algorithmic design. His academic contributions span over 50 publications, emphasizing methodological advancements in optimization and heuristic algorithms. He actively participates in conferences and peer review, and has coordinated EU-funded projects like Data Science for University Management (2019–2023). Chiarandini’s teaching includes courses on linear programming and metaheuristics, integrating practical applications with theoretical foundations.

• Transportation Engineering
• Urban Rail Systems
• Timetable Optimization
• +3 more

Res.Asst.Dr. Taha Yüksel is affiliated with the Civil Engineering Department at Istanbul Technical University. His work focuses on optimizing transportation systems, particularly in urban rail networks and energy-efficient solutions. Key research areas include timetable synchronization, passenger flow analysis, and applications of optimization algorithms like particle swarm optimization. Research interests span smart transportation systems, energy efficiency in railways, and advanced train control technologies. His contributions address challenges in transfer passenger management, regenerative braking utilization, and CBTC systems for safer, more efficient rail operations. No formal education details are provided in the profile. His publications (2017-2024) emphasize data-driven solutions for rail systems, with a focus on synchronization, energy optimization, and algorithmic approaches to operational efficiency.

Fatih IbiliView profile

Professor

• Family Law
• Private International Law
• International Child Abduction
• +3 more

Prof. Fatih Ibili is a Professor of Family Law at the University of Groningen's Faculty of Law, holding the title of 'bijzonder Hoogleraar' in Personen-, Familie- en Jeugdrecht. He concurrently serves as a Judge at the Court of Appeal of The Hague and holds significant roles in legal governance, including membership in the Standing Government Commission on Private International Law and leadership of the Dutch Judiciary's Expert Group on Private International Law. His academic career includes a PhD from Vrije Universiteit Amsterdam (2006) on jurisdictional principles in private international law. Prior to his current roles, he contributed to the Supreme Court's Scientific Bureau (2006–2017), advising Advocates-General on civil litigation matters. Research focuses on private international law, family law, and comparative legal systems. Notable works include standard-setting publications like Nederlands internationaal personen- en familierecht (2017) and Internationale kinderontvoering (2019). His recent publications address EU legal frameworks (Brussels I-bis Regulation), marital property regimes, and Turkish civil law translations. Prof. Ibili has advised on critical legal reforms, including the Dutch government's 2016 review of parenthood laws, advocating for multi-parentage and surrogacy regulations. He actively participates in judicial training and lectures on family law, international child abduction, and civil procedure at Groningen. Recent professional milestones include his 2024 appointment as Advocate-General at the Supreme Court's Civil Division, marking a dual role in academia and high judicial office.

Banafsheh KhosraviView profile

Senior Lecturer

• Operational Research
• Logistics
• Mathematical Modelling
• +6 more

Dr Banafsheh Khosravi is a Senior Lecturer in Operational Research at the University of Portsmouth, affiliated with the School of Mathematics and Physics. She is a member of the Logistics, Operational Research and Analytics Research Group (LORA) and the Centre for Operational Research and Logistics (CORL). Her research focuses on mathematical modelling, combinatorial optimization, and applications in transportation and healthcare. She holds a PhD in Management Science from the University of Southampton, with earlier degrees in Industrial Engineering. Before joining Portsmouth, she worked at the University of Southampton's CORMSIS Centre and the University of Westminster's Health and Social Care Modelling Group. Dr Khosravi teaches Operational Research, Modern Computational Methods, and Supply Chain Management courses. She has supervised numerous academic projects and led industry-funded research with EPSRC, ESA, NHS, RSSB, and Arriva. Her work addresses challenges like railway scheduling, routing optimization, and healthcare capacity planning. She is a Fellow of the Higher Education Academy and contributes to professional organizations including The OR Society and IAROR. Her research trends span transportation logistics (railway rescheduling, electric vehicle routing) and healthcare systems (NHS patient activity forecasting). Recent work emphasizes risk-based surveillance and digital performance analysis in undersea infrastructure and insurance sectors. Collaborations with industry partners ensure practical impact across sectors like rail networks and space operations. Awards: Fellow of the Higher Education Academy (FHEA) Labs/Teams: LORA Group, CORL Centre, Intelligent Transport Research Cluster Grants: Funded by EPSRC, ESA, NHS, RSSB, Arriva

• Artificial Intelligence
• Optimization and Learning
• Vehicle Routing Problems
• +3 more

Dr. Neil Urquhart is a Lecturer at the School of Computing Engineering and the Built Environment , Edinburgh Napier University , specializing in computational intelligence and optimization. He actively contributes to research in quality-diversity algorithms, vehicle routing problems, and socio-technical systems. Education: PhD in Computing (Edinburgh Napier University) His research focuses on: Evolutionary algorithms for delivery optimization Domain-specific languages for traffic simulation Human-AI trust dynamics in socio-technical systems Multi-stakeholder decision support frameworks Recent publications highlight: Real-world applications of nature-inspired optimization Empirical evaluation of domain-specific languages Micro-depot routing for sustainable logistics MAP-Elites for workforce scheduling Scientific contributions: Elected member of SPECIES (Society for Evolutionary Computing in Europe) Collaborative grants: £7,495 (2025) - VanFill Innovation Voucher £5,000 (2021) - ChargeBreak EV Suitability Tool £5,000 (2018) - Netmedia AI/Optimization Voucher £4,920 (2017) - Bendifa Food Delivery Heuristics £19,807 (2016) - DataLab LarderLoad Food Analytics £5,000 (2015) - Food Services Analytics

• Database Systems
• Information Visualization
• Bioinformatics
• +5 more

Andrew Cumming is a Researcher at the School of Computing Engineering and the Built Environment , Edinburgh Napier University. His work spans database systems, information visualization, and computational biology, with a focus on SQL education and microarray data analysis. Research Interests Database technologies and SQL optimization Animated visualization for biological time-course data Interactive graphics in virtual reality environments Automated educational assessment systems Genetic algorithms for timetabling Publications (sorted by year) highlight his contributions to: 2014: Polygonal voxel rendering techniques 2007: SQL best practices and data digging methodologies 2005: Dynamic scatter-plot visualization for gene activity 2004: Automated SQL marking systems 2000: Constraint-based timetabling algorithms Contact: A.Cumming@napier.ac.uk | a.cumming@napier.ac.uk

• Food Science and Technology
• Agricultural Sciences
• Environmental Sciences
• +4 more

Massimo Mozzon is an Associate Professor at the Department of Agricultural, Food and Environmental Sciences (D3A), Faculty of Agriculture, Università Politecnica delle Marche (UNIVPM). His academic work is rooted in the scientific sector of Food Science and Technology (AGRI-07/A), reflecting a strong focus on food-related research and innovation. His research interests span Food Science and Technology , Food Safety , Food Chemistry , Food Processing , and Sustainable Agriculture . Given his departmental affiliation, his work likely integrates agricultural and environmental dimensions into food systems, contributing to sustainable and safe food production. While specific publications and research projects are accessible through the university's IRIS repository and research portals, the overarching themes emphasize technological and scientific advancements in food and agriculture. Prof. Mozzon is actively involved in teaching and academic supervision, with course materials, timetables, and announcements available through the university's educational platforms. He contributes to the academic life of UNIVPM through structured lessons and student guidance within the agricultural sciences domain. Professional Affiliations: Department of Agricultural, Food and Environmental Sciences (D3A), UNIVPM Faculty of Agriculture, Università Politecnica delle Marche Contact Information: Email: m.mozzon@staff.univpm.it Phone: 071-2204926 Address: Via Brecce Bianche, Ancona, Italy

Eric PinsonView profile

Professor

• Combinatorial Optimization
• Scheduling Theory
• Transport Logistics
• +3 more

Eric Pinson is a Professor at the University of Angers (UCO) within the Faculty of Sciences. He holds an HDR (Accreditation to Supervise Research) from Université Pierre et Marie Curie (Paris VI) since 1994 and a PhD in Computer Science and Applied Mathematics from the same institution in 1988. He leads the LigéRO regional project (Loire Operational Research Group) and is an integrated member of LARIS (Angevin Research Laboratory in Systems Engineering), part of team EA-7315. Education: PhD in Computer Science and Applied Mathematics, Université Paris VI, 1988 HDR in Research Supervision, Université Paris VI, 1994 Research Interests: His work focuses on Combinatorial Optimization , particularly in scheduling theory and transport logistics. Key areas include algorithm development for scheduling problems (job-shop, flow-shop, maintenance planning), resource allocation in production systems, and optimization under constraints such as human resource limitations and energy considerations. His contributions span theoretical advancements and practical applications in renewable energy maintenance (e.g., wind turbines) and industrial logistics. Publications Trends: Recent work emphasizes algorithmic efficiency (O(n²) scheduling adjustments, energy function management) and industrial applications (wind farm maintenance, multi-skill project scheduling). Earlier publications established foundational scheduling algorithms and constraint-based optimization techniques. Scientific Awards: No specific awards listed, though his sustained contributions indicate significant recognition within the operations research community. Advising & Grants: Supervised at least one PhD student (Aurélien Froger, 2012–2016). Involved in collaborative projects including the DC-GNN program for real-world data clustering using graph neural networks. Labs & Teams: Primary affiliations include LARIS (Systems Engineering) and the LigéRO network, fostering regional operational research collaboration.

• Mathematics
• Number Theory
• Analysis
• +4 more

Dr. Joshua Friedman is a Professor in the Department of Math and Science at the United States Merchant Marine Academy (USMMA) since 2005. His research focuses on advanced mathematical analysis including Selberg trace formulas, automorphic forms, zeta functions, and Fuchsian/Kleinian groups. He has contributed to areas such as analytic number theory, spectral geometry, and combinatorial optimization through his publications. Teaching interests span all mathematics courses. Education: PhD and MA in Mathematics (Stony Brook University), BS in Math & Physics (Binghamton University) His work bridges pure mathematics with applied problems like automated timetabling using integer programming. Recent research emphasizes zeta functions, regularized determinants, and scattering theory applications. Notable contributions include studies on Bessel function integrals linked to Mahler measure (2022), deep learning approaches to graph theory problems (2021), and effective bounds in modular form analysis (2019). His 2016 papers address scattering determinants and hyperbolic manifold applications.

Ronni LaursenView profile

Assistant Professor

• Educational Policy
• School Leadership
• Biopolitical Governance
• +4 more

Ronni Laursen is an Assistant Professor at the Department of Culture and Learning, Aalborg University, affiliated with The Faculty of Social Sciences and Humanities. They are a core member of the Collaborative Organizational Learning (CO-LEARN) group and part of the SSH Children and Youth Research Network. Their research focuses on educational governance, leadership practices, and the sociopolitical dimensions of education. Key research interests include temporal governance in education, biopolitical analyses of schooling practices, digital transformations (e.g., learning management systems), and policy conflicts involving teachers’ unions. They investigate how temporal structures, digital tools, and economic logics shape teaching practices and school leadership. Recent work explores the erosion of democratic values in Danish schools under policies like the Ghetto Law, the interplay between academic achievement and student wellbeing, and the role of AI in education. Their interdisciplinary approach combines Bourdieusian theory, sociological governance frameworks, and critical policy analysis. Laursen has led projects such as At balancere et lederliv (2025–2027) and co-led the EU-funded Inclusive Education for All Needs (2024–2026). They actively engage in peer reviews for journals like the European Educational Research Journal and present at international conferences, including BELMAS 2025. Notable publications include studies on teacher strategies for digital mandates, temporal governance in preschools, and comparative policy analyses of Denmark and Sweden. Their work bridges theory and practice, addressing urgent issues like AI integration and democratic schooling challenges.

• Financial Accounting
• Management Accounting
• Academic Performance
• +1 more

Ian Surridge is a Senior Lecturer in the Department of Accounting, Economics and Finance within the Faculty of Business and Law at the University of the West of England, Bristol, specializing in financial and management accounting education and research. His academic credentials include: BSc (Hons) FCA (Fellow of the Institute of Chartered Accountants) PGCE (HE) (Postgraduate Certificate in Education for Higher Education) PhD Dr Surridge's research investigates the correlation between self-efficacy and academic outcomes, while his teaching practice emphasizes Financial Management and Management Accounting with applied industry perspectives from his chartered accounting background. He prioritizes student accessibility by forgoing fixed office hours in favor of individually scheduled meetings via email to accommodate learner timetables.