Find Academic Supervisors

Manuel Duarte Mendes Monteiro LaranjaView profile

Associate Professor

• Science, Technology and Innovation Policy (STI)
• Smart Specialization
• Entrepreneurial Discovery Process
• +7 more

Manuel Duarte Mendes Monteiro Laranja is a Full Associate Professor with Agregação at ISEG (Lisbon School of Economics and Management), University of Lisbon, where he has been a longstanding faculty member since at least 2000. He earned his PhD in Economic Policy of Science, Technology, and Innovation from the University of Sussex in 1997. His academic roles include teaching in Master’s programs such as Industrial Management, Operations and Sustainability, and Innovation and Research for Sustainability, where he has also served as course coordinator. Education: PhD in Economic Policy of Science, Technology, and Innovation, University of Sussex (1997) Current Affiliation: ISEG - Lisbon School of Economics and Management, University of Lisbon Academic Rank: Associate Professor His research centers on science, technology, and innovation policy (STI), with a strong emphasis on smart specialization, entrepreneurial discovery, social innovation, and innovation ecosystems. He has published extensively in journals and contributed chapters to academic books on innovation policy evaluation, transformative innovation, and regional development. His work often explores governance structures, policy mixes, and the systemic challenges in implementing innovation strategies, particularly in Portuguese and Brazilian contexts. The most recent publications show a consistent trend toward transformative innovation policy, smart specialization, and the role of participatory processes in regional development. His articles span topics from industrial resilience to the digital transformation of cities, reflecting a broad interdisciplinary approach that combines economic policy, governance, and sustainability. He frequently investigates innovation modes (STI and DUI), entrepreneurial ecosystems, and the adaptation of European innovation frameworks to developing regions. Scientific Contributions and Leadership: Founder of LCreation - ISEG’s Center for Entrepreneurship and Innovation (2014–2018) Vice-Director of the Interdisciplinary Research Institute (3is), University of Lisbon (2013–2016) Member of the Management Board, KIC EIT Health, University of Lisbon (2014) Executive Innovation Manager, BTEN – Business Talent Enterprise Network (2012–2015) Advisor to the Portuguese Government (Prime Minister’s Office and Secretary of State of Innovation) on technology and innovation policy Manuel has supervised over 70 Master’s students at ISEG, covering diverse topics such as circular economy, Industry 4.0, innovation ecosystems, and sustainability transitions. His advising reflects a strong commitment to applied research and policy-relevant thesis work. He has not held formal grants listed in the text, but his leadership in policy advisory roles and research centers indicates significant involvement in funded initiatives. He has been involved in several research labs and innovation initiatives, including ULab ISEG and Policy Lab, and has contributed to EU-level innovation programs. His leadership in LCreation and 3is highlights his role in fostering interdisciplinary research and entrepreneurial culture within the university.

Panagiota NasiopoulouView profile

Lecturer

• Early Childhood Education
• Preschool Quality Assessment
• Structural Factors in Education
• +5 more

Panagiota Nasiopoulou serves as a Lecturer in pedagogy at Södertörn University, specializing in preschool education research and teacher training. Her work investigates structural determinants of preschool quality, including group organization, teacher competence, and curriculum implementation within the Swedish educational context. She earned her PhD in Child and Youth Studies from the University of Gothenburg in 2020, with doctoral research examining preschool teachers' decision-making regarding group division and curriculum content under varying structural conditions. Dr. Nasiopoulou's research program centers on preschool quality assessment through structural lenses, with particular emphasis on quantitative analysis and mixed-methods approaches. Her investigations consistently explore how factors like group size, teacher education levels, and organizational frameworks influence pedagogical practices and child outcomes. She maintains a strong focus on practical applications for improving preschool environments through evidence-based insights. Analysis of her publication record reveals sustained investigation into ECERS-3 quality assessment applications, teacher professional profiles, and curriculum implementation challenges in Swedish preschools. Her work demonstrates methodological diversity through quantitative analyses, observational studies, and policy critiques, consistently linking structural conditions to educational quality outcomes. Her teaching portfolio spans preschool teacher education courses covering historical perspectives on educational ideals, interculturality, educational documentation, and quality development processes. She also contributes to doctoral education through methods instruction in Educational Science Studies, emphasizing rigorous research design applicable to early childhood contexts. While specific laboratory affiliations or research teams aren't documented in available materials, her collaborative publications with researchers like Sheridan, Williams, and Mellgren indicate active participation in interdisciplinary early childhood research networks focused on Swedish preschool systems.

• Computational Neuroscience
• Neural Network Simulation
• Large-Scale Simulation
• +3 more

Hans Ekkehard Plesser is a Professor at the Department of Data Science, Norwegian University of Life Sciences (NMBU). His work focuses on computational neuroscience, large-scale neural network simulations, and advancing reproducibility in computational research. He is a key contributor to the NEST simulator, a widely used open-source tool for modeling spiking neural networks. His research spans theoretical and applied aspects of neuroscience, including neuron-astrocyte interactions, connectivity patterns in neural networks, and high-performance computing strategies for brain-scale simulations. He emphasizes reproducible computational practices through initiatives like the ReScience project, promoting transparency and validation in scientific software. His publications highlight advancements in simulation methodologies, algorithm optimization, and the integration of supercomputing resources for neuroscience. He has contributed to foundational work on spiking neuron dynamics, firing-rate models, and the theoretical underpinnings of neural network behavior.

• Renal Medicine
• Chronic Kidney Disease (CKD)
• Cardiovascular Complications in CKD
• +4 more

Dr. Kaitlin Mayne is a Clinical Lecturer in Renal Medicine at the School of Cardiovascular & Metabolic Health, University of Glasgow. Her research focuses on chronic kidney disease (CKD), cardiovascular complications, and the effects of pharmacological agents like empagliflozin and vicadrostat. She leads analyses in major trials such as EMPA-KIDNEY and EASi-KIDNEY, exploring drug efficacy in CKD populations. Her work spans fluid management, biomarker discovery, and guideline-informed clinical practices. Notably, she investigates post-COVID-19 multisystem syndromes and socioeconomic disparities in healthcare outcomes. Dr. Mayne collaborates widely, contributing to high-impact journals in nephrology and cardiology. Research interests include SGLT2 inhibitors’ role in CKD progression, bioimpedance technologies, and frailty in renal patients. Her recent studies highlight empagliflozin’s benefits in reducing uric acid levels and cardiovascular risks, alongside exploring aldosterone synthase inhibitors for cardio-renal protection. She also examines sex/gender differences in CKD management and hemodialysis outcomes through inflammatory biomarkers. In 2025–2023, her articles emphasize drug mechanisms, subgroup analyses (e.g., Japanese CKD patients), and long-term trial results. Collaborations with groups like the EMPA-KIDNEY Collaborative Group underscore her role in large-scale clinical research. While no awards are listed, her prolific peer-reviewed output reflects her academic standing. Dr. Mayne’s advising and grants are not detailed here, but her publications suggest involvement in collaborative grants supporting CKD and post-COVID research. She contributes to interdisciplinary teams, such as those investigating renal MRI advancements and post-infectious illness trajectories.

Bettina FritzscheView profile

Professor

• Educational Research
• Qualitative Research Methods
• Ethnography
• +6 more

Prof. Dr. Bettina Fritzsche is a Professor of General Educational Science with a focus on qualitative research methods at the Institute of Educational Science , University of Education Freiburg. She serves as Dean of Studies, Faculty I, and Head of BA/MA Educational Science programs. Her research examines educational practices through reconstructive methodologies, ethnography, and videography, with particular attention to cultural comparison, vulnerability, and inclusion/exclusion dynamics in pedagogical settings. University: University of Education Freiburg Role: Professor, Dean of Studies, Program Head Departments: Institute of Educational Science Email: bettina.fritzsche@ph-freiburg.de Research Focus: Fritzsche specializes in reconstructive educational research , analyzing teacher-student interactions and institutional norms through a cultural comparative lens . Her work applies Judith Butler's recognition theory to study how heterogeneity and inequality manifest in schools, particularly through policies aimed at inclusion. She investigates meta-ethnographic synthesis and methodological pluralism to understand cross-cultural educational practices. Article Trends: Her publications emphasize praxeological approaches to schooling, ethnographic case studies , and transnational educational comparisons . Key themes include vulnerability production , symbolic exclusion , and pedagogical border-drawing , with methodological innovations in videography and cultural translation .

Joy LuView profile

Assistant Professor

• Consumer Behavior
• Marketing
• Online Learning
• +7 more

Joy Lu is an Assistant Professor of Marketing at the Tepper School of Business, Carnegie Mellon University, where she has been a faculty member since July 2018. She also held the Xerox Junior Faculty Chair position from July 2023 to July 2024. Her research focuses on consumer behavior, information search processes, and digital media consumption patterns, with particular expertise in eye-tracking methodologies and online learning environments. Education: PhD in Marketing/Dual AM in Statistics, University of Pennsylvania, 2018 BS in Economics and Engineering & Applied Science, California Institute of Technology, 2013 Dr. Lu's research examines how consumers navigate information in digital environments, with a particular focus on eye-tracking studies of web page interactions. She has made significant contributions to understanding binge-watching and media consumption patterns, exploring how consumers plan and allocate time for future media consumption. Her research on online learning investigates how different content delivery formats affect learner engagement and outcomes. Additionally, she has explored topics in algorithmic transparency and how explainable AI can aid consumer decision making, particularly for vulnerable populations. Analysis of Dr. Lu's recent publications reveals a strong focus on digital consumer behavior, particularly how users interact with online content. Her work combines rigorous experimental methods with sophisticated modeling approaches to understand complex decision processes. A recurring theme is how consumers allocate attention and time in digital environments, whether for shopping, learning, or entertainment. Her research has important implications for website design, educational platform development, and content delivery strategies across multiple industries. Scientific Awards: 2020 Carnegie Bosch Institute Research Award 2019 Carnegie Bosch Institute Research Award 2013 David M. Grether Prize in Social Science Russell Ackoff Doctoral Student Fellowship Patty and Jay H. Baker Ph.D. Fellowship Innovative Models for Undergraduate Research Fellow (2020-2021) Dr. Lu serves on the editorial board of the Journal of Marketing Research and has conducted peer reviews for prestigious journals including PLoS ONE, Journal of the Academy of Marketing Science, and the Journal of Marketing Research. She has also reviewed for major conferences including the Society for Consumer Psychology and the Association for Consumer Research. Her research has been supported by grants from organizations such as the Jay H. Baker Retailing Center and the Wharton Behavioral Lab at the University of Pennsylvania. While specific laboratory information isn't provided in the available text, Dr. Lu's research involves sophisticated methodologies including eye-tracking experiments and analysis of large-scale user behavior data from online platforms. Her work suggests collaboration with interdisciplinary teams spanning marketing, psychology, and information systems to investigate complex consumer decision processes in digital environments.

David PrestonView profile

Senior Lecturer

• History of Design
• Strategic Communication Design
• Brand Identity
• +3 more

Dr David Preston is Senior Lecturer and Platform Leader for Strategy & Identity on the BA (Hons) Graphic Communication Design course at Central Saint Martins, University of the Arts London. A Senior Fellow of the Higher Education Academy, he lectures and researches at the intersection of design history, theory and practice, with an emphasis on branding, typography and social-purpose communication. Education PhD History & Theory of Corporate Design, University of the Arts London (2019) PGCert Learning & Teaching, Centre for Learning and Teaching in Art & Design, UAL (2011) BA (Hons) Graphic Design, Central Saint Martins (2004) Foundation in Art & Design, Arts University Bournemouth (2001) Research Interests Dr Preston’s scholarship interrogates design as labour , focusing on the cognitive and procedural dimensions of the design process. Bridging design history, theory and contemporary practice, his work explores how programmatic branding emerged in post-war Britain and how its legacy shapes contemporary professional routines. Current themes include: History and theory of corporate identity systems Socially-engaged brand strategy and graphic design Experiential and peer-learning pedagogies Material cultures of design administration and hidden labour Publications & Dissemination His forthcoming monograph The Development of Corporate Design in Post-war Britain (Bloomsbury, 2025) consolidates a decade of archival and practice-led research. Complementing this, Preston has delivered invited keynotes and guest lectures at Aalto University, University of Connecticut, Willem de Kooning Academy and the Royal College of Art, among others. Scientific Awards & Fellowships Senior Fellow, Higher Education Academy (2023–present) Fellow, Higher Education Academy (2011–present) Innovate UK ‘Outstanding’ status for Knowledge Transfer Partnership with FreshBritain (2016–2018) Knowledge Exchange & Grant Activity Preston leads live industry briefs that embed students in real-world challenges. Notable projects include: Principal Investigator, Innovate UK Knowledge Transfer Partnership (£61k) – re-designing brand-vision methodology for FreshBritain (2016–2018) Co-creator, ‘Positioning for Purpose’ brand-strategy project with FreshBritain (2025) Contributor, KQ Labs accelerator with Crick Institute (2022) Graduate consultancy collaborations with Warner Media, Swiss Re, Department for Work and Pensions, Mother Agency and others Doctoral Supervision & Labs Dr Preston currently supervises practice-based PhD candidates exploring graphic communication for the deafblind community and AI-mediated ‘cute’ aesthetics. His ‘Strategy & Identity’ platform functions as an academic studio-lab where historical insight, strategic thinking and social impact converge.

• Geragogy
• Intergenerational Education
• Elderly Well-being
• +5 more

Anna Leszczyńska-Rejchert serves as a Lecturer at the Department of General and Care Pedagogy within the Faculty of Social Sciences at the University of Warmia and Mazury in Olsztyn, Poland. Holding a dr. hab. (habilitated doctor) degree, she actively contributes to geragogy—the specialized pedagogy of elderly education—through research, community initiatives, and the Intergenerational University program that bridges generational divides. Her research centers on geragogical frameworks for dignified aging, examining third-age universities, silver economy models in Warmia-Mazury, and societal stereotypes about aging. She investigates preparation for aging during middle adulthood, formal care systems from a geragogical perspective, and transcultural value education in preschools. Her work emphasizes intergenerational integration as both an educational strategy and social necessity, particularly through physical spaces like the Educational Intergeneration House. Analysis of her 2020-2024 publications reveals three dominant trends: (1) Theoretical development of geragogy as a distinct pedagogical subdiscipline; (2) Regional implementation of elderly education models responding to Warmia-Mazury's demographic shifts; and (3) Practical innovations in intergenerational programming that transform community spaces into learning hubs. Her scholarship consistently connects Seligman's well-being theories with geragogical practice while addressing Poland's specific aging challenges. Through the Intergenerational University at her faculty, Dr. Leszczyńska-Rejchert operationalizes her research into community action, creating structured knowledge exchange between seniors and youth. This initiative exemplifies her commitment to translating geragogical theory into social integration, serving as both a research site and model for regional aging policy.

Zeynep PamukView profile

Associate Professor

• Democratic Theory
• Science and Politics
• AI Governance
• +2 more

Zeynep Pamuk is Associate Professor of Contemporary Political Theory at the University of Oxford and Professorial Fellow at Nuffield College. Her research examines the relationship between scientific expertise and democratic governance, investigating how societies can effectively incorporate specialized knowledge into political decision-making. Pamuk's work addresses challenges posed by emerging technologies and crisis governance. Research interests focus on democratic theory in contexts of scientific uncertainty, particularly regarding artificial intelligence, pandemic response, and environmental policy. Current projects investigate epistemic authority in democratic systems, judgment in algorithmic governance, and institutional designs for expert accountability. Publications demonstrate consistent engagement with science-policy interfaces, emphasizing democratic legitimacy in technical decision-making. Recent articles analyze COVID-19 scientific advisory systems, AI's impact on political judgment, and conceptual frameworks for managing scientific ignorance in governance contexts. Awards include the APSA Foundations of Political Theory Book Award for Politics and Expertise: How to Use Science in a Democratic Society . Pamuk advises graduate students researching democratic epistemology and serves on editorial boards of leading political theory journals.

Laura D’OlimpioView profile

Associate Professor

• Philosophy of Education
• Moral Education
• Aesthetics
• +5 more

Dr. Laura D’Olimpio is an Associate Professor of Philosophy of Education and Director of Postgraduate Research in the College of Social Sciences at the University of Birmingham. She previously held roles at The University of Notre Dame Australia and completed her PhD in Philosophy at The University of Western Australia. Education: PhD in Philosophy (University of Western Australia) Bachelor of Arts with Honours in Philosophy (University of Western Australia) BA and MA in Education Research Interests: Her work focuses on the intersection of aesthetics, ethics, and moral education. Key areas include the necessity of arts education for human flourishing, critical perspectivism in media engagement, and the role of philosophy in schools. She has authored influential books such as *The Necessity of Aesthetic Education* (2024) and *Media and Moral Education* (2018), which won the 2018 PESA Annual Book Award. Media and Outreach: Dr. D’Olimpio is a prominent public philosopher, contributing to platforms like *The Conversation*, *Philosophy Now*, and ABC Radio National’s *Philosopher’s Zone*. She co-founded the open-access *Journal of Philosophy in Schools* and edited *Short Cuts: Philosophy* (2023), a public-facing exploration of key philosophical ideas. Advising & Grants: She supervises postgraduate research in philosophy of education and has co-authored a forthcoming *Philosophy of Education* textbook (2025). Her work bridges academic rigor with public engagement, advocating for accessible philosophical discourse. Labs/Teams: Active in interdisciplinary initiatives, including collaborations on digital literacy, virtue ethics, and public philosophy projects.

Rafael CapillaView profile

Professor

• Software Architecture
• Architectural Knowledge
• Software Product Line Engineering
• +5 more

Rafael Capilla is a Professor of Software Engineering at Rey Juan Carlos University of Madrid and an Adjunct Professor at LUT School of Engineering Sciences. His research focuses on software architecture, architectural knowledge, software product line engineering, dynamic variability, technical debt, software sustainability, and Industry 4.0 architectures. He has conducted international collaborations across Europe, Latin America, and Asia, with over 80% of his collaborators from foreign institutions. Research Interests : Software Architecture, Technical Debt, Dynamic Variability, Software Sustainability, Industry 4.0 Quality Evaluation Recent Publications highlight trends in sustainable software practices, Industry 4.0 systems, and AI-assisted architectural decision-making. His work explores intersections between technical debt identification, serverless computing economics, and runtime variability models.

Katrien VerbertView profile

Professor

• Human-Centered AI
• Explainable AI
• Interactive Recommender Systems
• +5 more

Katrien Verbert is a Professor at KU Leuven in the Department of Computer Science within the Faculty of Engineering Sciences. She leads the AUGMENT research group, an imec research group focused on Human-Centered AI. Her work spans multiple institutes including DigiSoc – KU Leuven Institute for Digital Society and Leuven.AI - KU Leuven Institute for Artificial Intelligence. She also serves as Program Director of the POC Digital Humanities for the Faculty of Engineering. Her research focuses on creating AI systems that amplify and augment human abilities while preserving human control. This work aims to make AI systems more productive, enjoyable, and fair through visualisation and interaction techniques across various hardware platforms. Verbert investigates how to enable end-users to understand AI model rationale and steer models with input and feedback to increase appropriate trust, acceptance, and accuracy while empowering users as active participants in data-driven solutions. Verbert's research spans applications in learning analytics, precision agriculture, healthcare, media consumption, digital humanities, food & nutrition, fintech, and human resources. Her work emphasizes interactive explanation methods that improve model understanding while enhancing users' ability to steer and refine AI models through domain knowledge. She leads multiple major research projects through 2029 focusing on human-centered explainable AI across diverse application domains. Human-centered Explainable AI Interactive Model Steering Healthcare Applications of AI Educational Technology and Learning Analytics Digital Humanities and AI Collaboration Motivational Design Techniques Verbert has presented her work at prestigious conferences including CHI, Aachen AI Week, and EXPLAIN'AI events. She actively supervises PhD candidates and master's students, with several supervised theses receiving recognition. Her research group continues to advance the field of human-AI interaction through numerous publications and real-world applications.

Lorraine LiView profile

Assistant Professor

• Natural Language Processing
• Machine Learning
• Commonsense Reasoning
• +4 more

Lorraine Li is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with the Interdisciplinary Science Program (ISP) and the School of Computing and Information. She holds a PhD from the University of Massachusetts Amherst (2022) and conducted postdoctoral research at AI2's Mosaic team. Her work focuses on NLP, machine learning, and socially responsible AI systems. Education: PhD in Computer Science (UMass Amherst, 2022) Research explores evaluation frameworks for commonsense knowledge, model interpretability, and ethical AI applications in domains like education and law. Key interests include probabilistic models, long-tail reasoning, and geographic robustness in LLMs. Recent publications address confirmation bias in reasoning chains (ACL 2025), geographically diverse prompting (CVPR 2024), and uncommon scenario reasoning (NAACL 2024). She co-organized the AAAI 2024 Make symposium and serves on committees for ACL, EMNLP, and NAACL. Grants: Pitt Cyber funding (2024) Lab: Pitt NLP Seminar group

Cor StegingView profile

Researcher

• Artificial Intelligence
• Hybrid Intelligence
• Explainable AI
• +3 more

Dr. Cor Steging is a Postdoctoral Researcher at the University of Groningen's Faculty of Science and Engineering, specializing in Artificial Intelligence through the Bernoulli Institute. His work focuses on bridging machine learning with structured reasoning, particularly in legal contexts, with strong emphasis on ethical and transparent AI development. Research interests center on Hybrid Intelligence systems that combine learning and reasoning, with specialization in Responsible AI and Explainable AI methodologies. Key focus areas include: Alignment of machine learning outputs with human-understandable reasoning Application of AI in legal domains and justice systems Development of transparent AI systems for high-stakes decision environments Handling incomplete/inconsistent data in critical applications Ethical implications of prediction systems in law Recent publications reveal a clear trajectory toward practical implementation of Responsible Hybrid Intelligence , with growing emphasis on legal applications and ethical frameworks. The 2024 doctoral thesis establishes foundational methodology for aligning learning and reasoning, while 2023 publications deepen exploration of legal domain applications and workshop organization for responsible AI development. Collaborative research demonstrates strong network connections with prominent AI researchers including Bart Verheij, Silja Renooij, and Trevor Bench-Capon. Current work addresses critical gaps in AI transparency for legal decision-making, with particular attention to small/inconsistent datasets and ethical design choices in machine learning systems.

Pedram RazaviView profile

Assistant Clinical Professor

• Breast Cancer Genomics
• Precision Oncology
• Liquid Biopsy
• +3 more

Pedram Razavi serves as a Clinical Assistant Professor within the Department of Medicine at Memorial Sloan Kettering Cancer Center (MSKCC), where he holds appointments in the Breast Medicine Service and Solid Tumor Oncology Division. His clinical and research activities focus exclusively on advancing precision oncology for breast cancer patients through genomic and computational approaches. Dr. Razavi's research program centers on decoding the genomic architecture of metastatic breast cancer to develop predictive biomarkers and optimize therapeutic strategies. His work spans three critical domains: (1) liquid biopsy development for real-time ctDNA monitoring during CDK4/6 inhibitor therapy, (2) machine learning integration of multimodal data to predict real-world progression-free survival, and (3) mechanistic studies of mutational drivers like APOBEC3 and ERBB2 in therapy resistance. Recent investigations reveal how double PIK3CA mutations in cis configuration enhance oncogenicity while increasing PI3Kα inhibitor sensitivity, and how ERBB2 activating mutations enable trastuzumab deruxtecan efficacy in HER2-non-amplified disease. Analyzing his 184 publications (including 18 in 2025), a clear trajectory emerges toward clinically actionable genomic insights. Over 70% of his recent work appears in high-impact journals like Journal of Clinical Oncology (42 publications) and Cancer Research (26), with meeting abstracts dominating his 2025 output reflecting active clinical trial engagement. His research consistently bridges basic mechanisms (e.g., APOBEC3 mutagenesis driving resistance) with immediate clinical applications (e.g., ctDNA dynamics predicting treatment response). Dr. Razavi maintains an extensive collaborative network centered at MSKCC, with Sarat Chandarlapaty (79 co-publications), Jorge Reis-Filho (67), and Michael Berger (45) representing his core team. He actively participates in international initiatives like the Buenos Aires Breast Cancer Symposium, demonstrating global leadership in translating genomic discoveries into clinical practice for metastatic breast cancer.