جستجوی استاد راهنمای دانشگاهی

• Copyright Law
• Cultural Heritage
• Human Rights
• +۳ مورد دیگر

Kelly Breemen serves as Assistant Professor at Utrecht University's Faculty of Law, Economics and Governance, specifically within the Department of Law and Molengraaff Institute for Private Law. She concurrently holds a research position at the Montaigne Center for Rule of Law and Administration of Justice, where she develops interdisciplinary frameworks connecting legal theory with cultural and technological practice. Her research critically examines copyright law's evolution in digital cultural heritage contexts, focusing on tensions between access control systems and human rights protections. Key interests include the legal implications of AI in cultural institutions, regulatory approaches to 'slow libraries,' and the constitutional dimensions of artistic freedom. Her work bridges European jurisprudence with global heritage preservation challenges, particularly regarding indigenous knowledge systems and digital repatriation. Recent publications reveal a cohesive trajectory analyzing how intellectual property frameworks intersect with human rights principles in technology-mediated cultural spaces. Her scholarship consistently addresses regulatory gaps in digital heritage management while advocating for rights-based approaches to cultural AI development, with significant attention to European Court of Justice jurisprudence and international criminal law applications. Scientific Awards: G.J. Wiarda Prize for Excellent Academic Publication (Honorable Mention, 2023) for interdisciplinary legal scholarship Researcher-in-residence Fellowship (2024) supporting collaboration with Dutch national libraries Dr. Breemen's research receives institutional support through competitive fellowships like the 2024 Researcher-in-residence award, which facilitates partnerships with national cultural institutions. While formal advisee relationships aren't documented in available materials, her work demonstrates active mentorship through collaborative publications with co-researcher V. Breemen across multiple high-impact projects. She contributes to the Montaigne Center's Rule of Law and Administration of Justice initiatives, particularly in projects addressing digital transformation challenges for cultural heritage institutions. Her current work involves developing regulatory frameworks for 'Cultural AI' applications in partnership with European memory institutions, focusing on ethical implementation and human rights compliance.

• Philosophy of Technology
• Ethics
• E-Health
• +۴ مورد دیگر

Dr. B.A. Kamphorst is a researcher in the Department of Media and Culture Studies at Utrecht University's Faculty of Humanities, where he is affiliated with the Media and Performance Studies group and the Institute for Cultural Inquiry. His work bridges philosophy, technology, and human behavior with a focus on ethical implications of digital systems. Faculty of Humanities, Utrecht University Department of Media and Culture Studies Media and Performance Studies research group Institute for Cultural Inquiry Dr. Kamphorst's research focuses on the intersection of philosophy of technology, ethics, and human-computer interaction. His expertise spans digital ethics, particularly concerning autonomy-respectful e-coaching systems, governance of digital society, and human-centered artificial intelligence. His work examines how technology affects human agency, decision-making, and behavioral patterns, with specific attention to bedtime procrastination and healthy lifestyle interventions. His publication record since 2009 demonstrates a consistent focus on ethical dimensions of technology, particularly examining how digital systems can support or undermine human autonomy. His most recent work explores hybrid intelligence applications for diabetes management and the voluntariness of public health apps, building on his foundational doctoral research on autonomy-respectful e-coaching systems completed in 2020. Editor for Philosophy & Technology journal Editor for Journal of Responsible Technology Editor for AI and Ethics journal Member of programme committee for International DEDA Seminar Member of programme committee for Procrastination Research Conference Dr. Kamphorst actively engages with the academic community through conference participation, invited talks, and editorial work. His research has practical implications for designing ethical AI systems that respect human autonomy while effectively supporting behavior change in health contexts. His multidisciplinary approach combines insights from philosophy, psychology, and computer science to address pressing challenges in the digital society.

• Experimental Psychology
• Cognitive Psychology
• Behavioral Science

Femke van Dijk serves as a Researcher and Teacher within the Department of Psychology at Utrecht University's Faculty of Social and Behavioural Sciences, actively contributing to the Experimental Psychology research group (also referenced as Psychological Function Theory in Dutch institutional contexts). Her role integrates empirical research with academic instruction in psychological science. Her scholarly focus centers on Experimental Psychology, utilizing controlled methodologies to investigate cognitive processes and behavioral mechanisms. This encompasses Cognitive Psychology frameworks for understanding mental functions and broader Behavioral Science applications, emphasizing evidence-based analysis of human psychological phenomena through experimental design. The Experimental Psychology research group provides the structural context for her work, facilitating studies on psychological function theory through systematic experimentation and data-driven inquiry within Utrecht University's academic ecosystem.

• Reading Comprehension
• Cognitive Psychology
• Cognitive Neuroscience
• +۵ مورد دیگر

Dr. Marloes van Moort is an Assistant Professor at the Department of Languages, Literature and Communication , Utrecht University , with affiliations to the Institute for Language Sciences . Her research focuses on cognitive processes in reading comprehension, particularly validation of information against prior knowledge, neuroimaging of text-based and knowledge-based monitoring, and combating fake news through digital learning. Fields of Interest : Reading Comprehension, Cognitive Psychology, Cognitive Neuroscience, Neuroimaging, Fake News, Digital Learning. Grants & Awards : Jason Albrecht Outstanding Young Scientist Award (2022), Society for Text and Discourse Graduate Student Research Award (2021). Her recent publications examine validation processes, the impact of reading goals on comprehension, and educational strategies for digital literacy. She employs methods like fMRI, eye tracking, and behavioral studies. Teaching includes courses on Fact and Fiction , Communication, Cognition and Comprehension , and Psychology of the Communicator . She is involved in the Dynamics of Youth (DoY) and Institutions for Open Societies (IOS) research programs.

• Learning Sciences
• Educational Technology
• Leadership Psychology
• +۵ مورد دیگر

Marcella A.M.G. Hoogeboom serves as an Assistant Professor in Professional Learning & Technology at the University of Twente. Her research program centers on understanding and measuring learning processes in professional contexts, with particular emphasis on how technology can support learning-on-the-go in workplace settings. Dr. Hoogeboom's research interests span multiple interdisciplinary domains: Learning Sciences and Educational Technology Leadership Psychology and Team Dynamics Physiological Measures in Learning Contexts Informal Learning Processes Workplace Learning in Smart Industry Behavioral Coding and Analysis Her recent publications demonstrate a strong methodological approach that combines quantitative data analytics with qualitative behavioral observations. She has conducted significant research on informal learning processes using mobile applications, coordination patterns in high-stakes environments like the Apollo 13 mission, and physiological correlates of effective leadership behaviors. Her work on physiological arousal in leadership contexts published in the Leadership Quarterly has garnered 16 citations in Scopus, indicating its impact in the field. Dr. Hoogeboom actively contributes to the academic community through presentations at major conferences including the EARLI SIG14 Conference on Learning On-the-Go and the Academy of Management Annual Meeting. Her current research explores how digital tools can support production workers' learning in the Smart Industry sector, addressing critical challenges in measuring and supporting dynamic learning processes in technology-rich work environments.

Lorenzo Pellegriniمشاهده پروفایل

استاد

• Environmental Economics
• Development Economics
• Extractive Industries
• +۶ مورد دیگر

Lorenzo Pellegrini is a Full Professor of Economics of Environment and Development at the International Institute of Social Studies (ISS) , Erasmus University Rotterdam, and an Adjunct Professor at the University San Francisco of Quito, Ecuador . He holds a PhD from VU Amsterdam and has held academic roles since 2005, including Visiting Professorships at the University of Pisa and Collegio Carlo Alberto. Research Focus: Environmental justice, extractive industries, supply-side climate policies, institutional analysis, and corruption studies Key Countries: Ecuador, Bolivia, Italy, Rwanda, Vietnam, and others across the Global South His recent articles in Nature Communications and Global Environmental Politics emphasize fossil fuel regulation, environmental justice, and policy frameworks, often using impact evaluation methodologies. Supervised projects span interdisciplinary themes in political ecology and sustainable development. Scientific Awards: Yale Kempf Fund (2019) Vietnam Ministry of Education Medal (2016) He teaches graduate courses on research methodology, ecological economics, and sustainable development, with a focus on participatory action research in the Global South. His supervised PhD students explore topics like indigenous livelihoods, Buen Vivir, and conservation conflicts.

Ondrej Rokosمشاهده پروفایل

استادیار

• Mathematical Modelling
• Homogenization
• Computational Mechanics
• +۷ مورد دیگر

Ondrej Rokos is an Assistant Professor in the Mechanics of Materials section at Eindhoven University of Technology (TU/e), Department of Mechanical Engineering. He is actively involved in research and teaching related to multiscale materials modeling, with a focus on computational mechanics, metamaterials, and homogenization techniques. He leads Group Rokos and is affiliated with the Institute for Complex Molecular Systems (ICMS). PhD in Civil Engineering (2014) from Czech Technical University in Prague Postdoctoral positions at CTU Prague and TU/e Visiting researcher at TU/e (2015) and University of Luxembourg (2016) His research centers on understanding multiscale physical phenomena in materials engineering to enable optimal material design. Key areas include: Homogenization and quasicontinuum methods for discrete microstructures Machine learning integration in surrogate modeling Stochastic structural dynamics and experimental-computational frameworks Mechanical metamaterials with pattern transformation capabilities Recent publications emphasize the application of machine learning (e.g., symmetric positive definite convolutional networks) and advanced homogenization techniques (e.g., similarity-equivariant graph neural networks) to optimize metamaterials. Notable trends include: Development of data-driven models for modular structures Geometrical parameterization of elastomeric metamaterials Active stiffness control in pneumatic systems Extended quasicontinuum methodologies for heterogeneous systems He teaches courses in: Computer Aided Engineering Solid Mechanics Machine Learning for Multi-Physics Modeling and Design Research is conducted within the Mechanics of Materials group, with affiliations to ICMS and collaborations across institutions.

Zerrin Yumakمشاهده پروفایل

استادیار

• Virtual Humans
• Social Robotics
• Affective Computing
• +۳ مورد دیگر

Zerrin Yumak is an Assistant Professor at the Department of Information and Computing Sciences, Faculty of Science, Utrecht University, specializing in virtual humans and social robotics. She leads Task 3.2: Embodiment and Physical Interaction in the RAGE project. Her research focuses on Social and emotional behavior analysis for virtual characters Machine learning applications in motion capture data Constrained motion graph search algorithms Lip-sync and gesture animation generation Real-time multimodal interaction systems Notable projects include the Virtual Human Controller asset for Unity 3D, integrated with BiP Media and Randstad applications. Recent work spans 2025: SemGes for semantics-aware gesture generation 2024: ProbTalk3D emotion-controllable facial animation 2023: Diffusion model-based facial animation (Facediffuser) 2020: Music-driven expressive gesture generation She contributes to workshops like GENEA (2021-2022) and MASSXR (2025), advancing non-verbal behavior modeling for embodied agents.

Mohsen Kaboliمشاهده پروفایل

استادیار

• Embodied Robotics
• Tactile Intelligence
• Machine Learning
• +۳ مورد دیگر

Mohsen Kaboli is an Assistant Professor (Part-time) at Eindhoven University of Technology (TU/e) in the Netherlands, affiliated with the Department of Electrical Engineering and the Electronic Systems group. Since 2018, he has served as head of the AI, Robotics & Cognitive Vehicle research lab at BMW Group’s Center of Invention in Munich, Germany. Previously, he held positions at Radboud University’s Institute for Brain and Cognition (2019-2022) and Technical University of Munich (TUM) as a postdoctoral research fellow. His research focuses on Embodied Robotics, Visuo-Tactile Interactive Perception, and Machine Learning, with applications in Robotic Grasping, Human-Robot Collaboration, and Neuromorphic Computing. He leads European-funded projects like PHASTRAC (Oscillatory Neural Networks for AI Edge Computing) and INTUITIVE (Tactile User Interfaces). Keywords: Tactile Intelligence, AI, Robotics Application Domains: Mobile Robotics, Medical Instrumentation, Neuroprosthetics His recent publications (e.g., ViTract, Shared Visuo-Tactile Perception) emphasize robust object pose estimation and shape reconstruction using Bayesian filtering and Graph Neural Networks. He has authored ~40 academic works and contributed to 20 patents. Scientific Awards : IEEE Senior Member (2018) Georges Giralt Ph.D. Award (Finalist) IEEE ICRA Outstanding Paper Award (Finalist, 2023) IEEE FLEPS Outstanding Student Award (Winner, 2022) IEEE ROSE Outstanding Paper Award (Winner, 2024) Mohsen Kaboli serves as Editor/Associate Editor for IEEE ICRA, IROS, R-AL, T-RO, and IJRR. His work bridges tactile perception, AI, and robotics, with impacts in wearables, medical devices, and autonomous systems.

• Embedded Systems
• Cyber-Physical Systems
• Performance Engineering
• +۳ مورد دیگر

Jeroen Voeten is a Full Professor in the Electronic Systems group of the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). He also holds a position as a Research Fellow at the Embedded Systems Institute in Eindhoven and is a Senior Scientist and Scientific Advisor to TNO-ESI since 2017. Academic Background: MSc in Mathematics and Computing Science (1991, TU/e) PhD in Electrical Engineering (1997, TU/e) Voeten's research focuses on formal methodologies for hardware/software system specification, design, and implementation. His work spans computer architectures, embedded systems, performance modeling, and cyber-physical systems. He is currently leading the Carm 2G project with ASML to enhance model-based engineering environments for wafer scanner control systems. His recent publications emphasize advancements in global scheduling, fault-tolerant real-time systems, and hybrid performance modeling. These studies address critical areas like latency reduction, schedulability improvements, and data age analysis in multi-rate task chains. Scientific Awards: Best Paper Award, Forum on Specification and Design Languages (FDL 2005) Best Paper Award, Property-Preserving Synthesis for Unified Control and Data-Oriented Models (2005) Voeten has contributed to 87 conference reports, 13 academic reports, 11 book chapters, and 11 journal articles, reflecting his extensive involvement in both academic and industrial research. Labs and Collaborations: He is affiliated with the Model-Based Design Lab and the High Tech Systems Center at TU/e, collaborating with institutions like TNO-ESI and industry leaders such ASML. His work aligns with the UN Sustainable Development Goals (SDGs) through applications in embedded systems and high-tech manufacturing.

• Artificial Intelligence
• Robotics
• Materials Science
• +۳ مورد دیگر

Dengpeng Huang is an Assistant Professor specializing in Artificial Intelligence and Robotics within the field of Elastomer Technology and Engineering . His work bridges computational modeling with advanced materials, focusing on applications in smart materials and mechanical systems. Research Interests: Development of AI-driven models for predicting elastomer properties Multiscale analysis of rubber composites Electromechanical coupling in dielectric elastomer actuators Meshfree methods for metal cutting and chip formation Ultra-precision polishing of optical surfaces Recent Trends: His 2024–2025 publications emphasize data-driven modeling of rubber's viscoelastic behavior, multiscale analysis of composites, and CNN-based approaches for material characterization. Earlier work (2014–2022) explores tool path optimization, beam modeling, and computational machining. Scientific Recognition: Holds an h-index of 5 according to Scopus citations, with recognition as an AI and robotics expert in the service industry. Advising & Collaboration: Collaborates with researchers like Anna Blume, Evgeny Karaseva, and Tim Bor on elastomer composites. Supervised at least one academic work, though specific students are not named in the provided data. Labs & Teams: Affiliated with simulation and robotics teams in the smart materials sector, likely within an advanced materials or mechanical engineering research group.

• Artificial Intelligence
• Systems Engineering
• Cyber-Physical Production Systems
• +۵ مورد دیگر

Dr. Saber Darmoul is an Associate Professor specializing in Systems Engineering and Multidisciplinary Design. His research bridges artificial intelligence with industrial applications, focusing on cyber-physical production systems, operational resilience, and smart transportation. He actively explores knowledge representation, reinforcement learning, and agent-based modeling to address complex system challenges. Key Research Interests: Operational resilience, AI in manufacturing, multi-agent systems, smart mobility Technical Expertise: Ontology modeling, simulation platforms, immune-inspired control architectures His recent publications (2025-2019) demonstrate a consistent focus on integrating artificial immune systems into control architectures for transportation and manufacturing. Notable trends include: Development of knowledge-based systems for dynamic reconfiguration Application of multi-criteria decision frameworks in production environments Advancing predictive maintenance strategies through distributed systems Exploring 6G system-of-systems engineering While no explicit awards or student advisement information appears in available records, his 15 most recent publications reflect sustained academic productivity and evolving focus from foundational control systems (2017-2019) to advanced applications in Industry 4.0 (2020-2025).

Sebastian Thiedeمشاهده پروفایل

استاد

• Sustainable Manufacturing
• Smart Industry
• Human-Centered Manufacturing
• +۸ مورد دیگر

Sebastian Thiede is a Full Professor specializing in Manufacturing Systems , with extensive research contributions to Smart Industry , Sustainable Manufacturing , and Human-Centered Production . His work bridges advanced technologies like Machine Learning , Simulation , and Artificial Intelligence with industrial applications, addressing critical challenges in Circular Economy , Energy Efficiency , and Factory Decarbonization . Research focuses on Battery Manufacturing , Edge Computing , and Real-Time Locating Systems (RTLS) . Key methodologies include Digital Twinning , Surrogate Modeling , and Data-Driven Process Optimization . Recent publications highlight trends in Autonomous Sensor Data Analysis (2025), Cyber-Physical Architectures for reconfigurable systems, and Circular Transition Methodologies for manufacturing. His work often integrates Human Factors with Smart Automation , emphasizing environmental and economic impacts.

Bojana Rosicمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Robotics
• +۱۲ مورد دیگر

Bojana Rosic is a Full Professor specializing in Applied Mechanics & Data Analysis. Her research spans Artificial Intelligence, Machine Learning, Robotics, and Uncertainty Quantification, with a focus on integrating computational methods into mechanical systems and materials science. Key Research Areas: Machine Learning, Uncertainty Quantification, Robotics, Soft and Compliant Mechanisms, Materials Simulation. Recent Work: Contributions to neural network-based constitutive modeling for anisotropic materials, real-time control systems for robotic manipulators, and uncertainty quantification techniques using Polynomial Chaos Expansion. Collaborations: Active in interdisciplinary research with applications in energy, sustainability, and biomedical engineering. Her work emphasizes practical implementations of AI in mechanical engineering, including autonomous systems and collaborative robots (cobots). While no specific awards or educational background are detailed here, her extensive research output (68 publications) highlights her leadership in computational methods and machine learning integration.

Guy Moorsمشاهده پروفایل

استادیار

• Survey methodology
• Cross-cultural research
• Measurement invariance
• +۶ مورد دیگر

Dr. Guy Moors is an Assistant Professor at Tilburg University in the Tilburg School of Social and Behavioral Sciences, Department of Methodology and Statistics. His academic work focuses on methodological issues in social science research, particularly in survey methodology and measurement. Dr. Moors' research interests include: Survey methodology and questionnaire design Cross-cultural research and measurement invariance Analysis of ranking and rating data Response styles and biases in survey responses Work values measurement Gender attitudes and family values across cultures Demography and cultural diversity His methodological expertise is reflected in his publications which address fundamental issues in social science measurement. Dr. Moors has developed statistical approaches to control for response biases (such as order effects in ranking tasks) and to better understand the relationship between different questionnaire formats (like rankings versus ratings). His research demonstrates that contrary to popular belief, ranking and rating data often produce more similar results than previously thought. He has also made significant contributions to understanding how cultural contexts influence the interpretation of survey items, identifying distinct cultural clusters based on how societies assign meaning to family value and gender role items. Dr. Moors has contributed 61 research outputs between 2000 and 2025, demonstrating sustained scholarly activity in methodology. His publications appear in journals such as Royal Society Open Science, Quality & Quantity, Sociological Methods & Research, and Survey Research Methods. His most recent work includes a comprehensive review of quality standards in qualitative research methodology that analyzed 111 methodological papers to identify shared norms and practices in the field. Teaching responsibilities include Methodology, Measurement and Statistics courses for premaster students, Topics in Causal Analysis, and Mastering your Research offered in both fall and spring semesters. His ORCID identifier is 0000-0002-1398-2061, and he can be contacted at Guy.Moors@tilburguniversity.edu. His office is located in room RP 116 at Prof. Cobbenhagenlaan 125 in Tilburg, Netherlands.