Find Academic Supervisors

• Artificial Intelligence
• Robotics
• Knowledge Graphs
• +4 more

Ilaria Tiddi is an Assistant Professor at the Faculty of Science, Department of Computer Science at Vrije Universiteit Amsterdam. She is also affiliated with the Network Institute and the Artificial Intelligence research group. Her work focuses on hybrid intelligence, knowledge graphs, robotic perception, and multi-agent systems. She contributes to the UN Sustainable Development Goals through her research in artificial intelligence and robotics. Her research interests include explainable AI, knowledge representation, robotic knowledge acquisition, and the integration of semantic technologies into robotic systems. She explores how knowledge graphs can enhance robotic perception and decision-making, particularly in dynamic environments. Recent work emphasizes shared understanding in open multi-agent systems and actionable knowledge extraction for robotic tasks. Dr. Tiddi has published extensively on topics like ontology design for robotics, data augmentation in reinforcement learning, and narrative-based societal understanding. Her articles highlight interdisciplinary approaches combining AI with fields like bioinformatics and urban studies. She teaches courses on artificial intelligence and semantic technologies, reflecting her commitment to advancing computational methods for complex problem-solving. Her datasets and software, such as the MUHAI Benchmark and story-generation frameworks, demonstrate her focus on practical applications of AI. Collaborations span international institutions, addressing challenges in robotic perception, ethical AI, and hybrid intelligence systems.

• Artificial Intelligence
• Knowledge Graphs
• Semantic Web
• +5 more

Benno Kruit is a Visiting Professor at the Department of Artificial Intelligence, Faculty of Science, Vrije Universiteit Amsterdam. His research focuses on knowledge representation, semantic web technologies, and AI applications in data interpretation and system dynamics. He has contributed to projects involving knowledge graphs, ontology engineering, and question answering systems. Key areas include semantic interpretation of tables, fault diagnosis in cyber-physical systems, and scalable simulation models. His work spans interdisciplinary topics such as environmental data analysis, agricultural informatics, and multilingual entity disambiguation. Kruit has co-developed platforms like TAKCO and Tab2Know for knowledge extraction from tables. He teaches the course Knowledge and Data and has contributed datasets like Tab2Know evaluation data to the research community. Recent research highlights include exploring open-source RAG systems, ontology-based simulation frameworks, and constrained LLM approaches for official statistics querying. His publications reflect a strong emphasis on practical applications of AI in knowledge integration and domain-specific problem-solving.

• Cybersecurity
• Software Security
• Memory Management
• +3 more

Asia Slowinska is an Assistant Professor at the Faculty of Science, Department of Computer Systems, and affiliated with the Network Institute at Vrije Universiteit Amsterdam. Her research focuses on cybersecurity, software security, and binary analysis. She specializes in areas such as memory management vulnerabilities, data structure detection in binaries, and exploit mitigation techniques. Her work addresses critical issues like buffer overflow detection, compiler-agnostic function identification, and hardware-software co-debugging. Recent contributions include frameworks for analyzing full-scale x86/x64 binaries and practical tools for detecting data-only attacks. Collaborations span international security symposiums, with notable outputs in USENIX Security, IEEE S&P, and ACM conferences. She teaches Binary and Malware Analysis (2024-2025), reflecting her expertise in reverse engineering and exploit analysis.

• Machine Learning
• Artificial Intelligence
• Aerospace Engineering
• +4 more

Dr. Keiichi Ito is a Research Associate affiliated with the Faculty of Science and Network Institute at Vrije Universiteit Amsterdam. His primary roles include Artificial Intelligence Research Associate and Research Associate in the Faculty of Science. He holds a doctoral degree and has been actively contributing to interdisciplinary research since at least 2016. His research focuses on machine learning applications, optimization algorithms, and design space exploration. Notable areas include transfer learning in neural networks, cloud-based machine learning frameworks, stochastic approximation methods, and self-organizing map-based sampling techniques. His work bridges computational methods with engineering challenges such as seaplane stability, heteroscedasticity analysis, and structural optimization. Recent publications (2016-2021) demonstrate a strong trend in developing innovative optimization frameworks and applying deep learning solutions to interdisciplinary problems. His contributions span computational biology, aerospace engineering, and distributed computing systems. No formal scientific awards or grants are explicitly listed in the provided texts. His affiliations suggest involvement with collaborative research groups within the Network Institute and Faculty of Science.

• Communication Science
• Digital Media Studies
• Cross-Cultural Communication
• +3 more

Joyce Karreman is an Assistant Professor in the Department of Communication Science at the University of Twente. Her research focuses on digital media, cross-cultural communication, technical communication education, and positive psychology interventions. She has contributed to studies on web design comparisons between Chinese and Western contexts, user support forums, and mental well-being interventions. Expertise: Communication Science, Cross-Cultural Analysis, Digital Health, Technical Writing Her work aligns with UN Sustainable Development Goals, particularly addressing quality education and well-being. She has received the Best Paper Award in 2011 and actively contributes to academic publishing workshops and conference activities. Joyce has supervised 2 graduate research projects and engages in peer-review activities for academic journals. Labs/Teams: Involved in technical communication research groups and interdisciplinary teams focusing on digital health interventions.

Yvette BaggenView profile

Assistant Professor

• Entrepreneurial Education
• Entrepreneurial Learning
• Higher Education
• +5 more

Dr. Yvette Baggen is an Assistant Professor at Wageningen University & Research, specializing in Entrepreneurial Education and Learning Sciences. She holds a PhD from Wageningen University (2013–2016), focusing on organizational learning and innovation. Her work bridges academia, business, and education to prepare students for societal challenges through entrepreneurial mindset development. She teaches courses like Principles of Entrepreneurship and Intrapreneurship, emphasizing creativity and problem-solving. Her research explores entrepreneurial learning in diverse contexts, including small enterprises and transdisciplinary settings. Key projects include the ECoGREEN consortium addressing sustainability and entrepreneurship, and studies on challenge-based learning and hybrid brainstorming techniques. She collaborates internationally, designing education programs for universities in Albania and Greece. Education: PhD in Education and Competence Studies (Wageningen University, 2016), postdoc at Utrecht University, and professional experience at NN Group as a Learning Expert. Research Focus: Entrepreneurial competence, educational innovation, and bridging research, teaching, and industry. Key Projects: ECoGREEN, Forging Future-Proof Small Businesses, and Accelerating Sustainability in Industry. Teaching: Courses on entrepreneurship education, intrapreneurship, and research practices in education. Dr. Baggen’s work emphasizes preparing students to tackle complex societal issues through innovative, adaptive approaches, fostering both academic and real-world impact.

Tomas Lim Sepulveda Jr.View profile

Associate Professor

• Gross Anatomy
• Pharmacology
• Otorhinolaryngology – Head and Neck Surgery
• +3 more

Dr. Tomas L. Sepulveda, Jr. is an Associate Professor and Course Director of Human Body Structure and Function at Saba University School of Medicine , where he has served as Chair of the Anatomical Division since 2016. He has 23 years of teaching experience in Gross Anatomy, ENT Head and Neck Surgery, and curriculum design across the Philippines, Bahrain, and Saba University. Licensed Pharmacist (University of the Philippines, College of Pharmacy) Doctor of Medicine (University of the East Ramon Magsaysay Memorial Medical Center) Residency in Otorhinolaryngology–Head and Neck Surgery (University of the East Ramon Magsaysay Memorial Medical Center) Postgraduate training in Maxillofacial Surgery (Universitatsspital Bern, Switzerland) His research interests focus on validating indigenous herbal plants through animal experimentation to address the rising cost of medicines, alongside systematic reviews of primary health care interventions. His work bridges traditional remedies with modern pharmacological validation. Publication trends highlight his expertise in anatomy education, ENT surgical outcomes, and pharmacological applications of natural products. Notable contributions include modular anatomy guides and curriculum strategies for large medical schools. Scientific Awards include: Overall Faculty Excellence Award (Saba University, Fall 2017) Outstanding 1st Semester Faculty (Saba University, Spring 2016) Service Award at AMAIUB (2012) Top Performance in PAST at AMAIUB (2012) BEST TEACHER Recognition in Bahrain (2007) Dr. Sepulveda has held leadership roles such as Assistant Dean and Module Design Coordinator, demonstrating expertise in curriculum planning, faculty development, and student mentorship. He actively contributes to medical education through Problem-Based Learning (PBL) and clinical assessment frameworks.

Rob ZuidwijkView profile

Professor

• Logistics
• Supply Chain Management
• Sustainability
• +6 more

Rob Zuidwijk is a Professor of Global Supply Chains and Ports at Rotterdam School of Management (RSM), Erasmus University Rotterdam. He holds the title of Fellow ERIM and serves as Captain of Science for the Topsector Logistics in the Netherlands. His research focuses on sustainable supply chains, synchromodal transport networks, and inter-organisational systems in logistics. He has coordinated numerous funded research projects and teaches courses on freight transport systems, international logistics, and global supply chain management at BSc, MSc, and PhD levels. Education: PhD in Mathematics from Erasmus University Rotterdam. Research Interests: Sustainable supply chain governance, synchromodal transport optimization, and logistics information systems. His work bridges operational research and practical applications in ports and global logistics networks. Publications: Over 40 academic articles in journals like Transportation Science , Production and Operations Management , and European Journal of Operational Research . Recent work addresses sustainable governance, data-driven logistics platforms, and truck platooning optimization. Awards: Fellow of the Erasmus Research Institute of Management (ERIM). Advising/Grants: Supervised 33+ PhD students and led projects on international logistics, container transport, and port-hinterland networks. Active in ERIM and Smartport initiatives. Labs/Teams: Co-founder of the Smartport research community, contributing to port-related logistics innovation.

Kris R.D. LulofsView profile

Associate Professor

• Sustainability Governance
• Climate Adaptation
• Environmental Policy
• +3 more

Kris R.D. Lulofs is an Associate Professor in the Department of Governance and Technology for Sustainability at the University of Twente. His research focuses on sustainability governance, climate adaptation strategies, environmental policy design, and innovative educational approaches. Key contributions include frameworks for sustainable public-private partnerships, challenge-based learning methodologies in higher education, and tools for urban climate resilience. His work integrates policy analysis with practical applications, addressing topics such as soil management through the Deltafact Lumbricus programme and water resource challenges on karst terrains. Collaborations emphasize interdisciplinary solutions for UN Sustainable Development Goals, particularly Goal 11 (Sustainable Cities), Goal 12 (Responsible Consumption), and Goal 13 (Climate Action). Recent research highlights include a review of institutional designs for infrastructure partnerships and development of web-based tools to assist medium-sized cities in climate adaptation. His educational projects bridge theory and practice, fostering student engagement in real-world sustainability challenges.

• Statistical Modeling
• Data Analysis
• Social Sciences Research
• +3 more

Dr. Chia Chia is a Research Fellow at the International Institute of Social Studies (ISS) of Erasmus University Rotterdam. Her work focuses on advanced statistical methodologies applied to social sciences, environmental studies, healthcare, and sports analytics. She specializes in hierarchical modeling techniques, composite indicators, and factor analysis to address complex multidimensional problems. Her research bridges theoretical statistical developments with practical applications in policy evaluation and data-driven decision-making. Affiliation: International Institute of Social Studies, Erasmus University Rotterdam Research Themes: Hierarchical clustering, ultrametric models, composite indicators, structural equation modeling, and multivariate analysis Chia Chia’s recent studies include developing unbiased distance metrics for mixed-type data, modeling waste management efficiency in Italian municipalities, and analyzing driver behavior related to mobile phone use. Her work on hierarchical disjoint factor analysis has been applied to environmental policy assessment and sports performance evaluation. She actively contributes to methodological advancements in clustering algorithms and Gaussian mixture models, emphasizing computational efficiency and real-world applicability. Her publications reflect a strong emphasis on bridging statistical theory with practical challenges in education, healthcare, and environmental science. Notable trends in her work include the integration of ultrametric structures into composite indicators and the application of parsimonious models to reduce computational complexity. Grants & Collaborations: While specific grants are not detailed, her research aligns with ISS’s focus on global development issues, suggesting involvement in interdisciplinary projects. She collaborates with institutions specializing in environmental policy, healthcare decision-making, and sports analytics.

Celiane Camargo-BorgesView profile

Senior Lecturer

• Creative Inquiry
• Qualitative Research
• Constructionist-Design Research
• +7 more

Celiane Camargo-Borges, PhD, is a Senior Lecturer and Researcher at Breda University of Applied Sciences, Netherlands, affiliated with the Academy for Leisure & Events and the Academy for Tourism Digital Transformation in Cultural Tourism. She leads the Transversal Sustainability Transitions research group, focusing on bridging psychology, social innovation, design thinking, and creative leadership to drive transformative learning and social change. Her work emphasizes constructionist theory and participatory, playful learning formats. Research Interests: Creative Inquiry, Qualitative Research, Constructionist-Design Research, Sustainability Transitions, Social Innovation. Her projects include 'Tourism in Balance' (TIB) and 'Volunteering in LTH Organizations,' exploring sustainable tourism, digital transformation, and community engagement. She actively collaborates with global institutions, contributing to initiatives in Brazil, Europe, and beyond. Key Activities: Over 60+ publications, guest lectures on design thinking and systemic leadership, and roles in project supervision and academic assessment. Media contributions include interviews on 'The Radical Therapist' podcast and features in journals like Uncover . Grants & Collaborations: Involved in EU-funded projects addressing sustainable tourism, digital communities, and social innovation. Her work spans academic and industry partnerships, emphasizing global-local integration (glocal) approaches.

Marcel van NispenView profile

Lecturer

• 3D Printing
• Additive Manufacturing
• Sustainable Materials
• +3 more

Marcel van Nispen is an instructor and pioneer of the 3D Lab at Design Academy Eindhoven (DAE), a role he has held for 15 years. With 30 years of industry experience in 3D modeling and printing, he bridges traditional craftsmanship and digital innovation. His primary focus is guiding students through the evolving landscape of additive technologies, emphasizing hands-on exploration and iterative problem-solving. Van Nispen established DAE’s first 3D lab in 2012, growing it from a single printer to a facility with 11 machines. He advocates for a balanced approach combining analog prototyping (cardboard, clay) with digital tools (VR, 3D scanning), fostering creativity while addressing sustainability through bio-based materials. The lab’s future plans include expanding into the new DAE building (2027) and integrating emerging technologies like Clo3D and Gravity Sketch. His teaching philosophy centers on empowering students to embrace failure as part of learning, while maintaining a collaborative environment where both students and instructors co-research advancements in additive manufacturing. He emphasizes reducing environmental impact through material innovation and cross-disciplinary collaboration with workshops like laser cutting and digital design.

• Inclusive Education
• Lesson Study
• School Wide Positive Behaviour Support (SWPBS)
• +6 more

Dr. Sui Lin Goei is a Professor at Windesheim University of Applied Sciences and leads the academic group of Inclusive Learning Environments since 2018. She also holds a position at Vrije Universiteit Amsterdam (VU) within the Teacher Academy and LEARN! Learning Sciences. As a founder of Lesson Study in the Netherlands, she pioneered School Wide Positive Behaviour Support (SWPBS) nationally and across Europe. Education: Bachelor's/Master's in Pedagogy and Educational Sciences from Leiden University PhD in Educational Psychology from University of Twente (1994) with thesis on Mental Models and Problem Solving Registered healthcare psychologist with clinical and school-based experience Research Focus: Designing inclusive learning environments, adaptive teaching strategies, and teacher professionalization through collaborative frameworks like Lesson Study. Her work emphasizes comparative international projects and integrating emerging technologies to address behavioral and learning challenges. She coordinates SWPBS implementation projects, including EU-funded initiatives and transatlantic collaborations. Professional Contributions: Supervised multiple PhD students on educational needs and care collaboration. Held visiting professorships at Nanyang Technological University (Singapore), Texas A&M University (USA), and Universitas Pendidikan Indonesia (Indonesia). Active in global educational reform through professional dialogues and teacher team interventions. Labs/Teams: Leads the Inclusive Learning Environments group at Windesheim, fostering interdisciplinary approaches to educational equity and innovation.

• Business Management
• Behavioral Sciences
• Social Psychology
• +3 more

Dr. Gwenny Ruël is an Assistant Professor at the Faculty of Economics and Business , University of Groningen, specializing in the Department of Operations . She holds a Master's in Social Psychology (1987) and a PhD in Management and Organization (1994). Her career includes roles as program coordinator for Technology Management (2007–2012) and Business Administration (2012–present), alongside teaching qualifications (UTQ 2016, STQ 2021). Her research focuses on behavioral aspects of business operations , including lean leadership, supply chain dynamics (e.g., bullwhip effect), team performance in education, and innovative learning systems. Recent work explores the interplay between lean practices and problem-solving in healthcare contexts. Publications span topics such as risk-taking behavior in supply chains, socio-technical production systems, and educational methodologies. She has contributed to projects like the Feedback GO initiative (2020–present), advancing personalized feedback tools in large-scale education. Teaching qualifications include Senior Teaching Qualification (2021), emphasizing her commitment to educational innovation. No scientific awards are explicitly mentioned, though her work reflects sustained academic engagement.

M. SchumannView profile

Assistant Professor

• Econometrics
• Nonlinear Panel Data Models
• Fixed Effects Estimation
• +4 more

M. Schumann is an Assistant Professor of Econometrics at Maastricht University's School of Business and Economics , specializing in quantitative economics. His research bridges statistical theory and applied economic modeling. Key research areas include Nonlinear panel data models with fixed effects Second-order bias reduction techniques Integrated likelihood inference Difference-in-differences methodologies Applications in innovation systems and flood statistics Recent publications demonstrate interdisciplinary trends, combining econometric theory with hydrology-inspired statistical approaches. His work appears in top-tier journals like Journal of Econometrics and Journal of Business & Economic Statistics . Collaborative efforts with researchers like T.A. Severini, G. Tripathi, and M.F. Arroyabe highlight his methodological and applied contributions to both economic and environmental sciences.