جستجوی استاد راهنمای دانشگاهی

Jacky Bourgeois is an Assistant Professor of Data-Centric Design at Delft University of Technology's Faculty of Industrial Design Engineering (IDE), leading the Data-Centric Delft Design Lab. His work bridges Human-Computer Interaction, Data Science, and Participatory Design, focusing on methods like data donation to empower collaborative data exploration. He holds a computer science background, previously researching ubiquitous technologies for domestic energy practices of 'energy farmers' (solar households). Key projects include the PROMISE study on patient-led oncological care and the Data Donation initiative promoting ethical data practices. Education: Background in Computer Science; academic focus on sustainable design engineering and IoT. Teaching includes courses like 'Data-Centric Design for...' (2024) and 'Digital Product Development' (2023). Research Interests: Data as subjective inquiry material, data intimacy, data commons, and human-data interaction in home contexts. Notable contributions include PAIRcolator for collaborative data reflection and Tangi for 360° video insights. Awards include Best Paper at CHI 2025 and DIS '24 Best Paper. Grants & Collaborations: NWO-funded research on hospital sounds (2024), IoT Rapid Proto Labs for industry-academia partnerships, and ancillary role as a scientific employee at The Open University (2025–2027). Labs & Teams: Director of the Data-Centric Delft Design Lab; collaborates with the HCI Data & Design SIG. Current projects address ethical frameworks for data donation and patient-centered healthcare systems.

• Data-Centric Design
• Human-Computer Interaction
• Data Science
• +۵ مورد دیگر

Peter Werner is a Full Professor of Behavioral Economics and Policy Design at Maastricht University's School of Business and Economics, where he leads research in the Department of Economics (Microeconomics & Public Economics section). He progressed from Assistant Professor (2016-2017) to Associate Professor (2018-2023) before attaining his current full professorship, demonstrating sustained academic contribution within the institution. His educational foundation includes: Ph.D. in Economics, University of Cologne (2005-2009), thesis: 'Behavioral Economics and Agency Problems: Empirical Studies' Diplom-Volkswirt in Economics, University of Cologne and Stockholm School of Economics (1999-2005) Werner's research centers on applying behavioral insights to real-world systems , with dual focus on fundamental social preference mechanisms and practical policy design. His work bridges laboratory experiments with field applications, particularly in wage transparency , pension decision architecture , and organizational incentive structures . Recent methodological innovations integrate population-level surveys with experimental economics to measure preference stability during crises like the COVID-19 pandemic. Analysis of his 2022-2025 publications reveals expanding scope from traditional labor economics into climate behavior and intergenerational solidarity, while maintaining core expertise in experimental methodology. Key trends include increased focus on Dutch pension systems, risk communication frameworks, and cross-generational discrimination patterns using nationally representative samples. His primary recognition includes: Marie Skłodowska-Curie Individual Fellowship (2017-2019) for 'Wage transparency in companies' (Horizon 2020 Grant 745894) Werner actively secures competitive funding through major initiatives: Current: Netspar Theme Project on risk preference measurement (Instituut Gak) Recent: Netspar pension savings project (2019-2023) Past: Marie Curie Fellowship (2017-2019) He coordinates the UM Behavioral Insights Center and co-organizes the M-BEES/M-BEPS symposia series, fostering research-practice integration. As co-director of the UM Behavioral Insights Center—one of the university's research spearheads—Werner leads interdisciplinary teams applying experimental economics to public policy challenges, with particular emphasis on pension communication and labor market transparency through partnerships with Dutch governmental and financial institutions.

• Behavioral Economics
• Experimental Economics
• Public Policy
• +۳ مورد دیگر

Sascha van Schendel is an Assistant Professor in Data Protection & Cybersecurity at the Department of Law & Markets, Erasmus School of Law, Erasmus University Rotterdam. She is affiliated with the Erasmus Centre of Law and Digitalization and contributes to the Sectorplan SSH-Breed research initiative on the influence of digitalization on work, prosperity, and entrepreneurship. Her research lies at the intersection of law, technology, and fundamental rights, with a focus on data protection, privacy, algorithmic governance, and the regulation of emerging technologies in public and environmental domains. She has published widely on topics including GDPR compliance, privacy by design, smart energy systems, AI in criminal justice, and the legal implications of predictive policing. The recent publications reflect a strong trend toward the regulation of data in public infrastructure (e.g., energy grids), algorithmic accountability in law enforcement, and the integration of legal and technical perspectives in privacy-preserving systems. Her work spans environmental law, criminal procedure, and digital constitutionalism, demonstrating interdisciplinary reach. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: While no formal PhD or Master’s students are listed, Dr. van Schendel has been involved in significant research projects such as the NWO-funded Megamind project on smart energy grids, indicating experience with competitive grant funding. She actively collaborates with legal scholars and contributes to public policy debates, including responses to national legislation like the Dutch Cybersecurity Bill. Labs and Teams: She is a core member of the Erasmus Centre of Law and Digitalization, a research hub focusing on the legal challenges of digital transformation. Her work is embedded in interdisciplinary collaborations involving law, technology, and public policy experts.

• Data Protection Law
• Privacy Law
• Cybersecurity
• +۱۲ مورد دیگر

Prof. Dr. Pinar Yolum Birbil is a leading researcher in Responsible AI at the Faculty of Science , Utrecht University . Her work bridges Artificial Intelligence , Privacy and Data Protection , and Software Agents , focusing on Human-Centered AI and Trustworthy Systems . She is part of the AI & Data Science and Responsible AI research groups. PhD in Computer Science, North Carolina State University (2003) MS in Computer Science, North Carolina State University (2000) BSc in Computer Engineering, Marmara University (1998) Her research explores Privacy Preservation in collaborative systems, Computational Theory of Mind for human-agent coordination, and Norm-Based AI Systems . Recent projects include the Hybrid Intelligence Center and tools like PANOLA for privacy support. She investigates how AI can balance user autonomy , ethical norms , and societal values in applications ranging from urban planning to healthcare. Her scientific publications (2023-2025) span topics like Explainable Privacy , Trust in Hybrid Teams , and AI for Diabetes Management , appearing in venues such as JAIR , AAMAS , and ACM TOIT . She emphasizes collaborative AI , with contributions to multiagent simulations and privacy-preserving mechanisms . Scientific Awards : NC State University Alumni Hall of Fame (2017) Woman Entrepreneur of the Year (Microsoft Turkey & KAGIDER, 2017) Bogazici University Academic Encouragement Award (multiple years) Best Paper Award at ESAW 2009 She supervises a dynamic research group with PhD students working on Hybrid Intelligence , Computational Ethics , and Privacy Modeling . Her projects often involve interdisciplinary collaboration with institutions like TNO and the Transforming Cities Hub .

• Artificial Intelligence
• Privacy and Data Protection
• Trustworthy AI
• +۴ مورد دیگر

Dr. Jeewanie Jayasinghe Arachchige is a Lecturer in the Department of Computer Science at Vrije Universiteit Amsterdam, Faculty of Science. She teaches undergraduate courses including Bachelor Project Computer Science, Professional Development, and Software Engineering Processes for the academic year 2024–2025. Her research focuses on process mining , healthcare informatics , and data security . She applies process mining to analyze healthcare pathways and subpopulation treatment variations, develops explainable AI frameworks for predictive analytics, and examines data governance in emerging architectures like Data Lakehouses. Her work intersects legal informatics, particularly formalizing Sri Lankan civil court processes using ontology engineering. Recent publications highlight trends in balancing simplicity and complexity in process modeling, Industry 4.0 healthcare applications, and cybersecurity in model-driven web development. She has contributed to over 20 peer-reviewed articles since 2006, spanning topics from service-oriented architectures to value network analysis. Her teaching and research emphasize practical applications of IT in healthcare, legal systems, and enterprise environments. No ancillary activities are currently recorded.

• Process Mining
• Healthcare Informatics
• Data Security
• +۳ مورد دیگر

Jakob Schoeffer is a tenure-track Assistant Professor in the Artificial Intelligence department at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, Faculty of Science and Engineering, University of Groningen (Netherlands). His work focuses on the intersection of human decision-making and artificial intelligence, particularly in high-stakes contexts where fairness, transparency, and appropriate human-AI collaboration are critical. Dr. Schoeffer's research interests center on responsible and explainable AI, with specific focus areas including: Human-AI collaboration dynamics in decision-making processes Fairness perceptions and interventions in AI systems Appropriate reliance on AI recommendations Explainable AI techniques for high-stakes domains Transparency mechanisms that improve human-AI team performance Label indeterminacy issues in medical AI applications His recent publications (2023-2025) reveal a strong trend toward applying AI research in critical domains like healthcare (particularly neurological recovery prediction), while maintaining a rigorous focus on the human aspects of AI deployment. His work spans both theoretical foundations of human-AI interaction and practical implementations, often employing mixed-methods approaches that combine technical AI development with behavioral studies. Dr. Schoeffer actively collaborates with researchers across institutions including the University of Texas at Austin and has made significant contributions to top conferences in AI ethics, fairness, and human-computer interaction. His research has been featured in multiple news outlets and policy discussions, indicating real-world impact of his work on responsible AI development. Prior to his current appointment, Dr. Schoeffer was a Postdoctoral Research Fellow at the University of Texas at Austin. He received his PhD from the Karlsruhe Institute of Technology (KIT) in Germany with a dissertation titled "On the Interplay of Transparency and Fairness in AI-Informed Decision-Making." He also holds a master's degree in Operations Research from Georgia Tech and industry experience as a Senior Data Scientist at IBM.

• Responsible AI
• Explainable AI
• Human-Centered AI
• +۶ مورد دیگر

Bram Duivenvoorde is an Associate Professor at the Molengraaff Institute for Private Law , Utrecht University , specializing in advertising law , consumer law , and e-commerce . He holds a PhD from the University of Amsterdam (2014) and combines academic research with practical legal experience, including roles as an attorney-at-law at Hoogenraad & Haak (2014-2020) and interim legal counsel at Heineken International (2018). His work focuses on digital society , personalized marketing , and AI regulation in consumer contexts. Education : PhD (UvA, 2014), LLM (Utrecht, 2009), LLB (Utrecht, 2007) Key Research Areas : Advertising Law, Consumer Law, Digital Regulation, EU Law, Personalized Marketing Recent publications analyze generative AI , deepfakes , and DSA compliance , emphasizing consumer protection in evolving digital landscapes. He supervises PhD candidates Thijs Kelder and Jorn Torenbosch and leads the LLM Honours Programme . Duivenvoorde contributes to European consumer law through RENFORCE initiatives and serves as Editor for journals like Intellectuele Eigendom en Reclamerecht .

• Advertising Law
• Consumer Law
• E-Commerce
• +۶ مورد دیگر

Mohammad Aliannejadi is an Assistant Professor at the IRLab (formerly ILPS) within the Informatics Institute at the University of Amsterdam. His research focuses on Information Retrieval (IR), machine learning, natural language processing (NLP), and conversational systems, particularly in modeling user information needs on mobile devices and conversational search systems. He holds a Ph.D. in Informatics from Università della Svizzera italiana (USI), Lugano, Switzerland, and a M.Sc. in Computer Engineering from Tehran Polytechnic. During his Ph.D., he visited the CIIR Lab at the University of Massachusetts Amherst, USA. His research interests include conversational search systems, recommender systems, unified search frameworks, and user-centric evaluation methodologies. Notable contributions include work on clarifying questions in open-domain dialogues, contextual suggestion systems, and cross-market recommendation. Aliannejadi has organized major shared tasks and workshops, including the IGLU Contest (NeurIPS 2021) and XMRec Workshop (RecSys 2021). He serves on program committees of top IR conferences like SIGIR, CIKM, and ECIR, and has authored over 50 peer-reviewed publications in these areas. His work has received recognition, including top performance in TREC Contextual Suggestion tracks (2015, 2016). He actively contributes to the IR community through teaching, including courses on Information Retrieval and Human-in-the-Loop Machine Learning at the University of Amsterdam.

• Information Retrieval
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

Prof. Dr. Madalina Busuioc is a Full Professor of Public Governance at the Department of Political Science and Public Administration, Vrije Universiteit Amsterdam. She serves as Director of the Graduate School of Social Sciences and co-Director of the R&I Lab on Artificial Intelligence and Digital Governance. Her ERC-funded research explores public accountability in the AI era, with a focus on algorithmic governance and cognitive biases in administrative decision-making. She holds a PhD cum laude from Utrecht University (2010). Her research interests center on public power dynamics, algorithmic governance, and institutional accountability. Notable contributions include work on AI's impact on citizen-state interactions, reputational authority in bureaucracy, and regulatory oversight mechanisms. Her book European Agencies: Law and Practices of Accountability (Oxford UP) and peer-reviewed articles in Public Administration Review , Journal of Public Administration Research and Theory , and Governance highlight her scholarly impact. Teaching contributions include designing the MSc Public Administration: Artificial Intelligence and Governance program, which integrates technical and governance perspectives. Awards include the Haldane Prize (2016) and Fernand Braudel Fellowship (2021). She advises on AI policy through ancillary roles like membership in the Meijers Commission on international law. Her research projects address AI ethics, algorithmic accountability, and regulatory innovation. Recent work explores behavioral dimensions of human-AI collaboration in public services and the societal implications of AI adoption in administrative systems.

• Public Governance
• Artificial Intelligence in Governance
• Algorithmic Decision-Making
• +۷ مورد دیگر

Dr. Dicle Yagmur Ozdemir is an Assistant Professor of Business Information Management at the Rotterdam School of Management (RSM), Erasmus University. She joined RSM in September 2023 after earning a PhD in Management Science (Information Systems concentration) from the University of Texas at Dallas, a Master's in Industrial Engineering from Sabanci University, and a Bachelor's in Industrial Engineering from Istanbul Technical University. Her research focuses on user-generated content dynamics in online platforms and the application of generative AI in healthcare. She employs econometric modeling and natural language processing to study how novel information in reviews influences stakeholders' decisions, and designs algorithms to mitigate information overload. In healthcare AI, she experiments with generative AI's impact on patient-provider interactions. Her work has been presented at top conferences including CIST, WITS, ICIS, WCBA, and INFORMS. Key themes in her research include algorithmic fairness in content selection, the psychological effects of AI-driven health advice, and the mediation effects of review novelty on consumer behavior. She has collaborated internationally, with research outputs including 6 works since 2023. Notable contributions address the moderating role of review dissimilarity in credibility assessments and the paradoxical effects of positive/negative review valence in decision contexts.

• User-Generated Content Analysis
• Generative AI in Healthcare
• Online Platforms and Decision Making
• +۳ مورد دیگر

Dr. Ting-Feng Lin is an Assistant Professor at the Cell Biology, Neurobiology and Biophysics department within the Faculty of Science at Utrecht University, Netherlands. His research focuses on understanding the mechanisms of learning and memory formation in the cerebellum, particularly how synaptic and intrinsic plasticity mechanisms coordinate to regulate neuronal signaling and behavior. He employs advanced microscopy, optogenetic, and chemogenetic techniques in transparent zebrafish models to study these processes in vivo, with implications for neurodevelopmental disorders like autism spectrum disorder (ASD) and schizophrenia. 2025: Assistant Professor, Utrecht University 2019-2025: Postdoctoral Researcher, University of Chicago 2015-2019: PhD in Neuroscience, Neuroscience Center Zurich (ZNZ) 2010-2014: MS in Physiology, National Taiwan University 2006-2010: BS in Sports Medicine, China Medical University His work investigates how sensory experiences shape cerebellar processing during development, focusing on climbing fiber pathways and their role in sensory prediction errors. His group also studies the interaction between synaptic, intrinsic, and structural plasticity mechanisms in neural circuits, using zebrafish models with genetic modifications (e.g., Grid2 knockout) to model human neurological conditions. Dr. Lin has received scientific recognition including the SfN Trainee Professional Development Award for his work on Purkinje cell plasticity and the JNS Meeting Award for research on parallel fiber ramping activity and LTD. His publications span topics from cerebellar plasticity to voltage-gated K+ channel dynamics, reflecting his interdisciplinary approach to neurobiology.

• Neuroscience
• Neurobiology
• Cerebellar Plasticity
• +۷ مورد دیگر

Alessandra Arcuri is Full Professor of International Economic Law at the Department of Law and Markets, Erasmus School of Law, Erasmus University Rotterdam, and a member of the Erasmus Initiative on Inclusive Prosperity. Her academic leadership spans critical intersections of law, sustainability, and democratic governance within global economic frameworks. Her research interrogates the tensions between international economic law and planetary boundaries, focusing on how investment treaties constrain climate action through cases like Rockhopper v. Italy . She exposes how fossil fuel interests exploit legal mechanisms like the Energy Charter Treaty while analyzing glyphosate regulation failures and corporate influence on EU Green Deal implementation. Her work consistently challenges technocratic governance models that marginalize democratic participation in environmental decision-making. Recent scholarship reveals an intensified focus on supply-side climate policies, where investment law clashes with state efforts to phase out fossil fuels. She documents how tribunals prioritize investor protections over ecological imperatives, using Dutch river pollution cases to demonstrate states' international obligations to prevent toxic emissions. Her analysis of boundary-work in investment law reveals systemic exclusions of public interest perspectives. Scientific Awards: Jean Monnet Fellow (2011-12) Fernand Braudel Fellow (2021-22) Hauser Global Research Fellow (2003-04) Marie Curie Fellow (2001) Professor Arcuri supervises PhD candidates including Abdurrahman Erol, with whom she co-authored pivotal research on Dutch river degassing that directly influenced national policy banning toxic emissions from inland vessels. Her policy impact extends through commissioned reports for the Dutch Parliament, Ministry of Foreign Affairs, European Commission, and NGOs, translating academic rigor into tangible regulatory change. She actively bridges scholarly critique with public advocacy, as seen in open letters correcting ministerial misinterpretations of environmental law. As a core contributor to the Erasmus Initiative on Inclusive Prosperity, she collaborates across disciplines to reconfigure economic governance toward ecological sustainability and democratic accountability, challenging the fossil fuel economy through legal innovation and grassroots empowerment.

• International Economic Law
• Sustainability
• Environmental Law
• +۴ مورد دیگر

Oscar Tomico Plasencia is an Associate Professor at the Department of Industrial Design at Eindhoven University of Technology (TU/e), specializing in Design Research Methodologies for Posthuman Sustainability. His research challenges anthropocentric design paradigms by positioning designers within complex ecological systems and exploring collaborations with non-human actors like plants. Education: MSc in Industrial Engineering and PhD cum laude from Polytechnic University of Catalonia (Spain). Prior Roles: Assistant Professor at TU/e (2007–2023), Head of Industrial Design Bachelor’s program at ELISAVA (Spain), Co-director of Design for Emerging Futures Master Program, and Co-editor-in-chief of Temes de Disseny Journal . His research focuses on decentering human agency in design through First-person methodologies for ecological engagement Design practices for multi-species cohabitation Regenerative socio-ecological-technical systems Critical fabulation with non-human stakeholders Temporal analysis of design events Recent publications analyze plant studios as dynamic constituencies (2025), backyard practices for urban sustainability (2025), and nature-entangled methodological repositories (2024). His work emphasizes transparency in experimental design processes and ecological accountability. Scientific Awards & Funding: NSERC Discovery Grant #RGPIN-2023-04600 SSHRC Insight Grant #435-2024-0783 Collaborative projects involve institutions across Spain, Japan, Sweden, and New Zealand. He leads the Making With… research group at TU/e and contributes to the EAISI (Eindhoven Artificial Intelligence Systems Institute).

• Posthuman Sustainability
• More-than-human Design
• Design Research Methodologies
• +۲ مورد دیگر

Prof. Gjalt de Graaf is a Full Professor in the Department of Political Science and Public Administration at Vrije Universiteit Amsterdam, leading the New Public Governance (NPG) research group. He holds dual appointments in the Faculty of Social Sciences and Humanities, specializing in public governance quality, integrity, and value conflicts. His work addresses how social media, academic education, and whistleblowing impact governance practices. Research focuses on resolving public value conflicts, particularly in academia and public institutions. He explores governance through lenses like art’s role in policy-making and administrative traditions’ influence on professional ethics. Notable contributions include studies on Dutch justice policy under pressure and cross-national comparisons of academic integrity. Awarded the Best Article Award 2017 Public Integrity and the VU Faculty of Social Sciences Research Prize (2008) , his work aligns with UN SDGs on peace, justice, and strong institutions. He advises 4 PhD theses and leads projects like Veerkrachtige en zinvolle samenlevingen , addressing societal resilience and youth participation. Teaching includes courses on good governance, public administration ethics, and leadership in dynamic environments. He actively engages in media commentary on integrity issues and organizes conferences on anti-corruption and ethical leadership.

• Public Governance
• Public Values
• Integrity in Governance
• +۴ مورد دیگر

Prof. Sanne Kruikemeier is a Professor of Digital Media and Society at Wageningen University & Research (WUR). She leads the ERC Starting Grant (HUNTING) and a NORFACE consortium grant, coordinating research across four European universities (2020–2024). As director of the Digital Data and Democracy Lab and member of the AlgoSoc Gravitation Program, she explores digitalization's societal and democratic impacts. Her research focuses on data-driven political targeting, social media's role in polarization, privacy behavior, and digital journalism. She holds roles on the editorial boards of journals like Human Communication Research , International Journal of Press/Politics , and Digital Journalism . Awards include the KNAW Early Career Award and ICA Herbert S. Dordick Dissertation Award. Her work bridges digital media, political communication, and societal change, addressing challenges like misinformation and democratic engagement. Kruikemeier advises PhD candidates on projects like data-driven campaigning's impact on democracy and polarization strategies. She engages in public discourse through media commentary on social media's role in politics and news consumption trends. Her interdisciplinary approach integrates communication science with computational methods to analyze modern political and social dynamics.

• Digital Media
• Political Communication
• Social Media and Polarization
• +۴ مورد دیگر