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Aviv NevoView profile

Professor

• Empirical Industrial Organization
• Marketing
• Antitrust and Competition Economics
• +4 more

Aviv Nevo is the George A. Weiss and Lydia Bravo Weiss University Professor at the University of Pennsylvania, holding joint appointments in the Department of Economics (School of Arts and Sciences) and the Marketing Department at the Wharton School. His research focuses on empirical industrial organization, antitrust economics, marketing, and econometrics, with applications to consumer packaged goods, healthcare, telecom, and real estate. Nevo earned his Ph.D. (1997) and AM (1994) in economics from Harvard University and a BSc in mathematics and economics from Tel Aviv University (1991). He joined Penn through the Penn Integrates Knowledge (PIK) program, which recognizes scholars who bridge disciplines. His work has examined price competition, merger implications, and regulatory policy, with notable contributions to understanding market dynamics in digital platforms and telecommunications. Nevo serves as a fellow of the Econometric Society, a research associate at NBER, and co-editor of Econometrica and the RAND Journal of Economics . Nevo’s research interests span antitrust analysis, consumer behavior, and applied econometrics. His recent studies address issues such as steering incentives in telecom gatekeepers, substitution effects in streaming media, and the misuse of economic metrics in merger reviews. He has advised on high-profile cases, including the Sabre/Farelogix and Aetna-Humana mergers, integrating empirical rigor into policy debates. Awards: Fellow of the Econometric Society, NBER Research Associate, Institute for Fiscal Studies International Fellow. Editorial Roles: Co-editor of Econometrica and RAND Journal of Economics . Professional Activities: PIK University Professor, Penn Integrates Knowledge initiative participant. Nevo’s work bridges academia and policy, with a focus on real-world applications of economic theory. His teaching spans both economics and marketing disciplines, reflecting his dual departmental affiliation.

Philipp RodeView profile

Associate Professor

• Urban Studies
• Transport Policy
• Urban Governance
• +3 more

Dr. Philipp Rode is Executive Director of LSE Cities and Associate Professor (Education) at the London School of Economics' School of Public Policy. He leads interdisciplinary urban development research, focusing on transport, sustainability, and governance. His work spans global urban challenges, including climate policy, emergency governance, and urban transitions. Rode co-founded the Urban Age Programme and advises international organizations like UCLG and Metropolis. He holds degrees in transport systems (TU Berlin), city design (LSE), and urban governance (PhD, LSE), and has authored/co-edited influential books such as Governing Compact Cities and Shaping Cities in an Urban Age . Affiliations: LSE Cities, University of St. Gallen (Visiting Professor) Key Roles: Co-Director of LSE's MSc in Cities, Lead of Emergency Governance Initiative Global Engagement: Partnered with OECD, UNDP, World Resources Institute, and over 50 city governments Research interests center on multi-dimensional urbanization, socio-technological transitions, and governance systems. His recent work emphasizes emergency governance frameworks for cities, climate-resilient urban policies, and accessibility strategies. Rode has contributed to shaping the UN's New Urban Agenda and advised the Global Commission on the Economy and Climate. Publications span peer-reviewed journals ( Transport Policy , Environment and Planning B ) and edited volumes addressing urban sustainability, transport governance, and strategic planning. His work bridges academic insights with policy impact, emphasizing actionable frameworks for equitable and resilient cities.

Timo FleckensteinView profile

Professor

• Comparative Social Policy
• Labour Market Policy
• Political Economy
• +3 more

Professor Timo Fleckenstein is a Professor of Social Policy at the London School of Economics and Political Science (LSE), Department of Social Policy. He previously held a Lecturer (Assistant Professor) position after completing his DPhil at the University of Oxford. His research focuses on comparative welfare state analysis, emphasizing Western Europe and East Asia, particularly South Korea. Key areas include labour market policies, family policies, skills development, and political economy dynamics. Teaching responsibilities include undergraduate courses on 'Comparative and International Social Policy' and postgraduate 'Politics of Social Policy', except during sabbatical periods like 2023/24. His expertise spans comparative political economy, policy-making processes, and institutional change, with a regional emphasis on Germany, South Korea, and Japan. Research highlights include analyses of labour market dualisation, welfare reforms, and social investment policies. His work bridges political science and social policy, exploring how institutional frameworks and policy ideas shape welfare systems in diverse contexts. He actively supervises PhD students in areas like comparative political economy, family policy, and labour market reforms. Publications span journals such as World Politics , Comparative Political Studies , and Journal of Contemporary Asia , reflecting his interdisciplinary approach to policy analysis and institutional transformation.

• Computational Fluid Dynamics
• Internal Combustion Engines
• Cavitation
• +13 more

Professor Manolis Gavaises is a leading academic in the field of mechanical engineering and computational fluid dynamics at City St George's, University of London, where he holds the position of Professor in the School of Engineering and Mathematical Sciences. He earned his PhD from Imperial College London and has been a faculty member since 2001, progressing to full Professor in 2009. His research is centered on advanced modeling of multi-phase flows, cavitation, and fuel injection systems, with extensive collaborations across Europe and industry partners such as Delphi, Caterpillar, and BP. Education: DIC, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 PhD, Mechanical Engineering, Computational Fluid Dynamics, Imperial College London, 1997 Diploma (5 years), Mechanical Engineering, National Technical University of Athens, 1992 His research interests span computational fluid dynamics, cavitation, fuel injection, atomization, high-pressure and supercritical flows, and alternative fuels . He has developed advanced numerical models and experimental techniques, including X-ray phase contrast imaging and high-pressure test rigs. His work integrates fundamental DNS and LES simulations with industrial applications in automotive, marine, aerospace, and medical devices such as heart valves. The recent publications reflect a strong trend toward real-fluid thermodynamic modeling (e.g., PC-SAFT), multi-component fuel behavior, cavitation erosion, and advanced diagnostics . His research increasingly incorporates machine learning and high-fidelity imaging to understand complex flow phenomena across energy, transportation, and biomedical domains. Scientific Awards and Recognitions: Richard Way Prize (1998) Arch T. Collwell Merit Award (1998) Best Oral Paper, SAE World Congress (2006) PE Publication Award, IMechE (2007) Best Presentation Award, Engine Combustion Processes (2009) Fellow, IMechE (2013) Fellow, IMA (2015) As a dedicated mentor, Professor Gavaises has supervised 13 PhDs to completion and currently guides 23 doctoral students. He has secured over €16 million in EU and UK funding, including multiple Horizon 2020 Marie Skłodowska-Curie ITN projects (CAFÉ, HAOS, IPPAD), which support 46 early-career researchers globally. He has created academic opportunities for post-docs and junior faculty, significantly advancing the research profile of his institution. He leads the International Institute of Cavitation Research (IICR), co-founded in 2011 with partners from Loughborough University, TU Delft, and Imperial College, supported by The Lloyd’s Register Foundation. His lab maintains strong experimental capabilities, including a 2000bar pressure flow rig with micro-transparent nozzles and collaborations with Argonne National Laboratory for X-ray imaging.

Quan ZhouView profile

Professor

• Miniaturized Robotics
• Robotic Manipulation
• Mechatronics
• +9 more

Quan Zhou is a Professor leading the Robotic Instruments Group at the Department of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, Finland. He holds an M.Sc. in Control Engineering and a Dr.Tech. in Automation Technology from Tampere University of Technology. His research focuses on miniaturized robotics, robotic manipulation using contact, acoustic, magnetic, interfacial, and fluidic methods, integrating physics, mechatronics, and machine learning to address challenges in dexterous manipulation with applications in biomedicine, materials science, and industrial technologies. He directs the Master’s Programme in Automation and Electrical Engineering (AEE) at Aalto and coordinates the European Robotics Association’s Topic Group on Miniaturized Robotics. He has led the EU FP7 project FAB2ASM and chaired international conferences like MARSS 2019. Notably, he received the 2018 Anton Paar Research Award for Instrumental Analytics and Characterization. His research spans fundamental methodologies and practical applications, emphasizing interdisciplinary innovation. Recent work includes advancements in fluid-driven manipulation, biomimetic robotics, and acoustic particle control. His contributions bridge theoretical frameworks and real-world automation solutions, with publications in journals like Advanced Intelligent Systems , Nature , and Physical Review E . Prof. Zhou’s leadership roles include coordinating the EIT Digital Master's Programme in Autonomous Systems and chairing IEEE Finland robotics chapters. His work has been recognized through grants and awards, reflecting his impact on robotics and automation research and education.

Yong LinView profile

Associate Professor

• Operations and Supply Chain Management
• Digital Transformation
• Sustainability Strategies
• +5 more

Dr Yong Lin is an Associate Professor in Operations and Supply Chain Management at the Department of Management, Birmingham Business School, University of Birmingham. He joined the university in September 2021, having previously held academic positions at the University of Greenwich and Huazhong University of Science & Technology. He has also served as a visiting researcher at the Institute for Manufacturing (IfM), University of Cambridge, and as a research assistant at the Hong Kong University of Science & Technology. PhD in Management Science and Engineering, Huazhong University of Science & Technology, 2002 MSc in Industrial Engineering and Management, Huazhong University of Science & Technology, 1999 Dr Lin’s research focuses on digital transformation and sustainability strategies in operations and supply chains. His key interests include supply chain risk and resilience, digital logistics platforms, business ecosystems, and manufacturing strategies. He explores how digital technologies such as blockchain and RFID can enhance transparency, efficiency, and sustainability across supply networks. His recent publications reflect a strong trend toward digitalization, resilience, and sustainability in supply chains, with studies on modular resilience in multinational platforms, blockchain in remanufacturing, and digitalization in healthcare logistics. His work frequently appears in top-tier journals such as International Journal of Operations and Production Management , Journal of Cleaner Production , and Technological Forecasting and Social Change . Senior Fellow of the Advance HE (Higher Education Academy) Certified Management and Business Educator, Chartered Association of Business Schools (CABS) Chartered Fellow, Chartered Institute of Logistics and Transport (CILT) Dr Lin has led and coordinated several research projects funded by the National Natural Science Foundation of China (NSFC), the 863 Program, and the European Regional Development Fund. He actively engages in industry consulting to transfer research outcomes into practical business solutions. He welcomes PhD applicants interested in digital transformation, sustainability, logistics platforms, and business ecosystems. He is also involved in advising and mentoring graduate researchers in these domains. Dr Lin is affiliated with the Department of Management at Birmingham Business School, where he contributes to research, teaching, and knowledge exchange in operations and supply chain management. His work bridges academic rigor with real-world application, particularly in digital and sustainable supply chain innovation.

Eric StroblView profile

Professor

• Applied Development Economics
• International Economics
• Environmental Economics
• +3 more

Eric Strobl is a part-time research Professor in the Department of Economics at the University of Birmingham, affiliated with the Birmingham Business School. He is currently based at Ecole Polytechnique in Paris, maintaining active research collaborations across institutions. Research Interests: Applied Development Economics International Economics Environmental Economics Labour Economics Economics of Natural Disasters Interdisciplinary Research integrating Economics with Natural Sciences His research focuses on the economic impacts of natural disasters, combining economic modeling with techniques from the natural sciences. He has published extensively in leading journals, contributing to policy-relevant insights in development and environmental contexts. Publication Trends: His work spans top-tier general economics journals and field-specific outlets, reflecting a strong empirical and policy-oriented approach. The publications emphasize development, urban, and environmental economics, often with a focus on real-world applications and data-driven analysis. Scientific Awards: Advising and Grants: While specific advisees and grant funding are not listed in the provided text, his extensive publication record in high-impact journals suggests active supervision of graduate students and successful acquisition of research funding. His role as a research professor indicates a focus on independent and collaborative scholarly work. Labs and Research Teams: Although no specific lab or research group is named, his interdisciplinary work on natural disasters implies collaboration with researchers in environmental science and related fields, potentially within or across institutional boundaries.

Nur Zincir-HeywoodView profile

Professor

• Cyber Security
• Resilience
• Autonomous Cyber Operations
• +9 more

Nur Zincir-Heywood is a Distinguished Research Professor and Associate Dean (Research) in the Faculty of Computer Science at Dalhousie University, Halifax, Nova Scotia, Canada. She has been a Full Professor since 2010, following progressive academic appointments from Assistant to Associate Professor. Her research centers on developing intelligent and secure systems for modeling and analyzing behaviors across networks and services. Key areas include: Cyber Security and Resilience Autonomous Cyber Operations Threat Analysis and Detection Machine Learning and Big Data Analytics Computer Communications and Networks Her recent recognition as a Distinguished Research Professor reflects her significant contributions to research and scholarship. She leads the NIMS Lab and is actively involved in research clusters focused on Systems, Big Data Analytics, AI, and Machine Learning. She also co-organized the 'Dal FCS Hands on Security Day' with industry partners like Cisco and 2Keys. A special issue she is involved with in IEEE TNSM on AI for network and service management highlights her leadership in cutting-edge domains. Scientific awards include: Distinguished Research Professor (2021–present) She advises students and leads research projects, with fellowship opportunities currently available in her lab. Her work bridges academic innovation with real-world applications in security and intelligent systems. She is also engaged with public outreach, occasionally appearing on CBC Information Morning.

Ruchit AgrawalView profile

Assistant Professor

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +7 more

Dr Ruchit Agrawal is an Assistant Professor and Head of CS Outreach at the School of Computer Science, University of Birmingham Dubai. He holds a PhD in Computer Science from Queen Mary University of London and was a postdoctoral research scientist at the University of Oxford, where he worked on Artificial Intelligence for Healthcare. His research is centered on advancing AI systems with applications in healthcare and natural language understanding. Research Interests: Dr Agrawal specializes in Artificial Intelligence, Machine Learning, Natural Language Processing, Deep Learning, and Clinical Machine Learning. His work explores Multimodal Deep Learning and Adaptive and Contextual AI , aiming to develop intelligent systems that can understand and respond to complex, real-world environments, particularly in medical contexts. His research bridges theoretical innovation with practical healthcare applications. His scholarly contributions include numerous publications in leading journals and top-tier international conferences in AI and computer science. The body of his work demonstrates a strong trajectory in healthcare-oriented AI, multimodal data integration, and context-aware learning models. Scientific Awards: Marie-Curie Fellow Dr Agrawal has experience supervising students at the PhD, MSc, and BSc levels, contributing to academic training and research mentorship. While specific grants are not listed, his Marie-Curie Fellowship and postdoctoral position at Oxford indicate a strong record of competitive research funding. He currently leads computer science outreach initiatives at the University of Birmingham Dubai, promoting engagement and education in computing fields. He is affiliated with the School of Computer Science at the University of Birmingham’s Dubai campus, contributing to both research and academic leadership in an international academic environment.

Sumeet JainView profile

Senior Lecturer

• Community Mental Health
• Global Mental Health
• Cultural Psychiatry
• +6 more

Dr Sumeet Jain is a Senior Lecturer at the University of Edinburgh, affiliated with the School of Social and Political Science (Social Work). His interdisciplinary research focuses on community mental health in low-income contexts, cultural psychiatry, ethnography, and global mental health policy, with regional expertise in South Asia. He has led projects funded by ESRC, Carnegie Trust, British Academy, Wellcome Trust, DFID, and World Bank, including studies on recovery-oriented mental health in India, poverty-mental health linkages, and evaluation of Scotland's alcohol/drug referral services. Research Interests: Community mental health systems in low-resource settings Critical analysis of psychiatric categories and local distress Qualitative/ethnographic evaluation of health programs Training of social workers in non-western mental health Global mental health policy and equity Publication Trends: Recent works emphasize participatory interventions, mutuality in mental health, caste identities, and critiques of scaling-up global mental health initiatives. His research spans South Asia, Malawi, Ghana, and the UK, blending sociocultural perspectives with public health outcomes. Scientific Awards: ESRC-Impact Accelerator Award Carnegie Trust funding for community mental health in India British Academy collaboration on caste and distress Wellcome Trust grant for London health inequalities study DFID/World Bank funding for poverty-stigma-mental illness research Dr Jain supervises postgraduate research in Global Mental Health and Social Work, contributes to undergraduate and postgraduate teaching, and co-edited The Palgrave Handbook of Sociocultural Perspectives on Global Mental Health (2017).

Sherry Tongshuang WuView profile

Assistant Professor

• Human-Computer Interaction
• Natural Language Processing
• Artificial Intelligence
• +6 more

Sherry Tongshuang Wu is an Assistant Professor at Carnegie Mellon University's School of Computer Science, with primary appointments in the Human-Computer Interaction Institute (HCII) and secondary affiliation with the Language Technology Institute (LTI) . Trained at the University of Washington under Jeffrey Heer and Dan Weld, she bridges HCI and NLP to study human interactions with AI systems across diverse user groups. Her educational background includes a Ph.D. (2016-22) and M.S. (2016-18) in Computer Science and Engineering from the University of Washington, and a B.Eng. (2012-16) from Hong Kong University of Science and Technology. Industry experience includes research internships at Google Brain, Microsoft Research, and Apple. Wu's research focuses on three interconnected pillars: Real-world AI Evaluation (developing frameworks like SPHERE for systematic assessment), Task-specific AI Test & Distill (optimizing general-purpose models for specific use cases), and Human-AI Task Delegation (designing optimal collaboration between humans and AI). Her work emphasizes practical deployment, user-specific net gains, and error recovery mechanisms. Analysis of her 15 most recent publications reveals a strong trend toward evaluation frameworks (35%), human-AI collaboration systems (30%), and specialized model distillation (25%), with growing emphasis on educational applications (10%). Key methodological themes include checklist-based evaluation, perspective-aware retrieval, and structural analysis of AI outputs. Google Academic Research Award (2024) Amazon Research Awards (2024) AIED 2024 Best Paper Award ACL 2020 Best Paper Award Rising Stars in EECS Workshop (2020) Wu actively mentors 19 students across PhD, Master's, and undergraduate levels, with notable projects including synthetic data generation, LLM literacy tools, and retrieval system optimization. She leads significant grant-funded work through Amazon Research Awards and Google Academic Research Awards, focusing on deployable model generation and human-AI collaboration frameworks. Her lab develops practical tools like Promp2Model and SPHERE that bridge theoretical research with industry applications.

Nikolai MatniView profile

Assistant Professor

• Machine Learning
• Control Theory
• Robotics
• +10 more

Nikolai Matni is an Assistant Professor in the Department of Electrical and Systems Engineering at the University of Pennsylvania. He holds a secondary appointment in the Department of Computer and Information Science and is a member of the Applied Mathematics and Computational Sciences (AMCS) graduate group. His research focuses on integrating learning, optimization, and control for safety-critical and data-driven cyber-physical systems, with applications in robotics, autonomy, and distributed control. Secondary Appointment: Computer and Information Science (University of Pennsylvania) Labs/Centers: GRASP Lab, PRECISE Center His research bridges machine learning, robust control, and autonomous systems, particularly in developing guaranteed-safe strategies for cyber-physical systems. He emphasizes the importance of reliability and robustness in learning-based control for applications like self-driving vehicles and agile robots, where failures could be catastrophic. Recent publications highlight advancements in vision-based robotic control, neural ODEs for motion planning, adversarial exploration strategies, and stability-constrained learning. These works span conferences such as ICRA, CoRL, WACV, IROS, and L4DC, with a focus on safety-critical applications. Notable scientific awards include the NSF CAREER Award, George S Axelby Award (for his work on System Level Synthesis), AFOSR YIP award, and Google Research Scholar Award. He was also elevated to IEEE Senior Member. Matni advises Ph.D. students in Computer and Information Science (CIS), Electrical and Systems Engineering (ESE), and Applied Mathematics and Computational Sciences (AMCS). His teaching includes courses like ESE 2030 (Linear Algebra with Engineering/AI applications) and others focused on control theory and robotics.

Daniel J. FieldView profile

Professor

• Avian Evolution
• Vertebrate Palaeontology
• Bird Biodiversity
• +7 more

Daniel J. Field is Professor of Vertebrate Palaeontology in the Department of Earth Sciences and the Strickland Curator of Ornithology at the University of Cambridge Museum of Zoology. He is a Fellow of Christ's College, Cambridge, where Charles Darwin studied as an undergraduate, and serves as the founding director of the Darwin-Hamied Centre at Christ's College. Field also maintains research associate positions at the Denver Museum of Nature and Science and the Natural History Museum (London). Field is an evolutionary biologist and palaeontologist whose research focuses on deciphering the origins of modern avian biodiversity using fossil, anatomical, and molecular data. His work spans multiple themes including clarifying how birds survived and diversified following the mass extinction of non-avian dinosaurs, studying the evolutionary histories of major living bird groups, and understanding the evolutionary origins of distinctive biological features such as the modern bird skull. In 2020, his team announced the discovery of Asteriornis maastrichtensis (the 'Wonderchicken'), the oldest-known modern bird fossil and an early relative of the group that gave rise to living chickens and ducks. Field's publication record shows consistent research output across multiple areas of avian evolution, with recent work focusing on avian palate evolution, skeletal pneumaticity, developmental patterns in bird skulls, and the evolutionary relationships among major bird groups. His research integrates cutting-edge techniques including CT scanning, geometric morphometrics, and phylogenetic analysis to address fundamental questions about vertebrate evolution. Field leads an active research group comprising postdoctoral researchers, PhD students, and master's students from around the world. His lab has produced significant work on topics including the evolution of flightlessness in ratites, the developmental underpinnings of avian morphological diversity, and the phylogenetic relationships among major bird lineages. The lab maintains strong international collaborations and has been instrumental in training the next generation of evolutionary biologists and palaeontologists. Field is passionate about natural history and science outreach, and enjoys photographing Earth's vertebrate biodiversity in the field. His work bridges the gap between traditional palaeontology and modern evolutionary biology, contributing significantly to our understanding of how modern bird diversity arose from their dinosaurian ancestors.

Mischa BillingView profile

Senior Lecturer

• Culinary Arts
• Meal Science
• Sensory Experience
• +4 more

Mischa Billing is a Senior Lecturer at Örebro University specializing in Culinary Arts and Meal Science. She is actively involved in research on sensory experiences, wine studies, and food pairing. Her work spans across multiple disciplines including haptics, olfaction, and culinary traditions. Her research interests focus on the intersection of sensory perception and culinary practices. Billing explores how sound affects taste perception, develops haptic attribute models for food design, and investigates improved sensory experiences for the elderly. Her work in sommelier training and critical attribute techniques bridges traditional culinary knowledge with scientific approaches to sensory evaluation. Analysis of her publications reveals a strong focus on practical applications of sensory science in culinary contexts. Her work spans from theoretical explorations of wine tasting as embodied knowledge to practical guides for food and beverage pairing. The recurring themes include sensory integration, cultural contexts of food consumption, and innovative methods for enhancing meal experiences. Gastronomic Academy's Silver Medal Wine Profile of the Year Nose of the Year Honorary Truffle of the Year Billing has served as general secretary of the International Sommelier Association (ASI) and is a member of the Wine Academy in Sweden. She has extensive experience in evaluating diverse products including Swedish tap water and apple juice. Her media presence includes serving as a jury member on TV4's Sweden's Master Chef and delivering radio talks for Sveriges Radio. She leads several research initiatives including the Sense Lab, which focuses on future sensory experiences, and participates in research groups examining meals from social and cultural perspectives. Her projects like 'Rewine The World' demonstrate interdisciplinary approaches to reducing food waste through innovative culinary methods.

Tom SchrijversView profile

Professor

• Programming Languages
• Functional Programming
• Type Systems
• +6 more

Tom Schrijvers is a Professor at the Department of Computer Science in the Faculty of Engineering Science at KU Leuven, Belgium. He leads the Programming Languages Group within the Declarative Languages and Artificial Intelligence (DTAI) research group. His research focuses on programming languages, particularly functional and logic programming, with special emphasis on Haskell, type systems, and algebraic effects. His research interests include: Functional Programming, especially Haskell Type Systems and Type Theory Algebraic Effects and Handlers Logic Programming, particularly Prolog Constraint Programming Domain-Specific Languages Programming Language Theory Prof. Schrijvers' recent research has focused on effect systems, staged programming, and language composition. His work on algebraic effect handlers has been particularly influential, providing new insights into how effects can be modularly composed and handled in functional languages. He has also made significant contributions to the understanding of type classes and their implementation in Haskell. His publications demonstrate a consistent focus on practical applications of programming language theory, with work spanning from foundational type theory to applied domain-specific languages for areas like fluorescence microscopy. His research often bridges the gap between theoretical programming language concepts and practical implementation concerns. Prof. Schrijvers has supervised numerous PhD students to completion, including Pieter Wuille, Benoit Desouter, George Karachalias, Steven Keuchel, Amr Saleh, Alexander Vandenbroucke, and Ruben Pieters. He currently supervises PhD students Klara Mardirosian, César Santos, Gert-Jan Bottu, Koen Pauwels, Birthe van den Berg, and Roger Bosman. His research group has received funding from various sources including EU projects like GRACeFUL. The Programming Languages Group at KU Leuven, which he leads, focuses on functional (Haskell) and logic (Prolog, Datalog, CLP) programming languages, as well as general programming language theory. The group has been active in numerous research projects and collaborations across Europe.