جستجوی استاد راهنمای دانشگاهی

• Evolutionary Computation
• Machine Learning
• Natural Computing
• +۵ مورد دیگر

Thomas Bäck is a Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University , Netherlands, and a member of the interdisciplinary programme Society, Artificial Intelligence and Life Sciences (SAILS) . His academic career spans roles at Leiden University (1996–present) and leadership positions at the Center for Applied Systems Analysis in Dortmund (1994–2000). Education : Diplom-Informatiker (Computer Science), Technische Universität Dortmund (1990) Dr. rer. nat. (Computer Science), Technische Universität Dortmund (1994) Research Interests : Dr. Bäck specializes in evolutionary computation , machine learning , and their applications in sustainable smart industry and healthcare . Recent work focuses on integrating large language models (LLMs) and quantum computing into optimization frameworks, with projects like CIMPLO (predictive maintenance), ECOLE (experience-based optimization), and SAPPAO (airline operations optimization). Scientific Contributions : His 526+ publications cover evolutionary algorithms, quantum optimization, and LLM-driven design, with recent trends including: Quantum computing (e.g., quantum approximate optimization, quantum advantage challenges) LLM integration (e.g., hyperparameter tuning, mutation control, code evolution graphs) Healthcare and industry (e.g., predictive maintenance, anomaly detection, melt quality prediction) Algorithm benchmarking (e.g., IOHprofiler, MA-BBOB, explainable benchmarking) Scientific Awards : IEEE Fellow (2022) Royal Netherlands Academy of Arts and Sciences (KNAW) member (2021) Academia Europaea member (2022) IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2015) Fellow, International Society of Genetic and Evolutionary Computation (2003) Best Ph.D. thesis award, German Society of Computer Science (GI) (1995) Advising and Grants : He supervises Ph.D. candidates in evolutionary computation and machine learning and has secured 7 major grants from organizations like the Dutch Research Council , European Commission , and The Research Council of Norway . His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and associate editorships in leading AI journals.

• Media Psychology
• Social Robots
• Human-Robot Interaction
• +۳ مورد دیگر

Elly Konijn is a Full Professor at the Faculty of Social Sciences and Humanities and Network Institute of Vrije Universiteit Amsterdam, holding the Fenna Diemer-Lindeboom Endowed Chair. As chair of the Media Psychology Amsterdam program, her work bridges media psychology, social robots, affective processing, and adolescent media use . Research Pillars : Relating to media figures, virtual humans, and social robots Media-based reality perceptions and moral standards Adolescent media effects (cyberbullying, video games, body image) Recent Publications explore emotional bonding with robots, narrative complexity in film, and media's impact on adolescent cognition. Her 2025 Communication Theory article introduces a framework for human-artificial others relationships. Scientific Recognition : KNAW/NWO Eurekaprijs (2015) Computable Award (2021) Network Institute Competitive Research Funding (2025) She supervises 16 PhD students and leads projects like ROBOT-BOND (ERC Advanced Grant 2025-2029) and Communicating with Social Robots (2020-2025). Her documentaries (e.g., Alice Cares ) translate research into public discourse.

Tanja Langeمشاهده پروفایل

استاد

• Cryptography
• Number Theory
• Post-Quantum Cryptography
• +۵ مورد دیگر

Tanja Lange is a Full Professor at the Department of Mathematics and Computer Science at Technische Universiteit Eindhoven. She chairs the Coding Theory and Cryptology group and serves as scientific director of the Eindhoven Institute for the Protection of Systems and Information (Ei/Ψ). Additionally, she holds a visiting professor position at Academia Sinica, Taiwan. Research & Teaching Her research focuses on cryptography and number theory , with leadership in post-quantum cryptography (including code-based, lattice-based, hash-based, and isogeny-based systems). She has taught courses like Introduction to Cryptology and Selected Areas in Cryptology at TU/e, covering quantum algorithms, cryptographic protocols, and mathematical foundations. Key Contributions Co-author of 5 recent publications (2023-2025) on differential addition chains, ROLLO-I analysis, CSIDH fault injection, and KpqC evaluations Recipient of the Best Master Lecturer 2016 award Active in NIST Post-Quantum Cryptography competition (e.g., NTRU Prime) Affiliated with the Center for Quantum Materials and Technology Eindhoven Contact MetaForum 5.062, TU/e Email: tanja@hyperelliptic.org (primary) | t.lange@tue.nl (TU/e)

Mathias Funkمشاهده پروفایل

دانشیار

• Design Theory
• Systems Design
• Data-Driven Design
• +۵ مورد دیگر

Mathias Funk is an Associate Professor in the Industrial Design department at Eindhoven University of Technology (TU/e), leading the Things Ecology lab. His research focuses on designing with data and systems behavior, particularly in IoT and medical technology contexts. He co-founded UXsuite GmbH and developed the OOCSI communication framework. With a PhD in Electrical Engineering from TU/e (2011), Funk has held academic roles since 2013, including postdoctoral positions in Electrical Engineering and Industrial Design. He teaches courses like 'Data-enabled design' and supervises projects on AI, data foundry, and OOCSI applications. His work bridges engineering and design, addressing sustainability and human values through systemic design approaches. Education: PhD in Electrical Engineering, TU/e (2011) Computer Science background from RWTH Aachen Postdoc at TU/e's Electrical Engineering and Industrial Design departments Research Interests: Data-driven design methodologies, IoT systems, medical technology innovation, sustainable design practices, and interactive systems for musical expression. Recent work emphasizes telemonitoring efficacy in heart failure care and federated learning applications. Awards: Best Paper Award (2014) Honorable Mention (2021) Grants/Projects: Leading initiatives like MEDICAID (medtech solutions), ACACIA (interpretable AI), and Data-Driven Servitizing in Professional Printing. Active in clinical workflow prototyping and cardiovascular disease detection projects. Lab Activities: Manages the Things Ecology lab, focusing on systemic design challenges in smart ecosystems. Collaborates internationally through spin-offs and visiting lectureships.

Jan Theeuwesمشاهده پروفایل

استاد

• Cognitive Psychology
• Visual Attention
• Statistical Learning
• +۶ مورد دیگر

Prof. Jan Theeuwes is a Full Professor of Cognitive Psychology at the Vrije Universiteit Amsterdam's Faculty of Behavioural and Movement Sciences, leading the ERC-funded research group on statistical learning and attention. He holds additional roles as Distinguished Visiting Research Professor at the William James Center for Research (Lisbon) and Visiting Professor at Zhejiang University (China). With over 474 publications and two ERC Advanced Grants (2013 & 2019), his work spans visual attention, statistical learning, and applied human factors in road design. He pioneered the 'Self-Explaining Roads' concept, revolutionizing global road safety design, and co-developed Open Sesame, a widely used open-source experiment builder. His research integrates EEG, fMRI, and computational modeling, addressing topics like distractor suppression, emotion, and leadership influence. Over 25 PhD students have graduated under his mentorship, many securing academic roles across Europe. Education: Cum laude degrees in Experimental Psychology (Tilburg University) and a PhD (VU Amsterdam, 1992). Key awards include the Bertelson Award (2001) and KNAW membership (2010). He advises the Dutch Department of Transportation and founded the Institute for Brain and Behavior Amsterdam (IBBA) in 2016. Ancillary roles include leadership in European psychological societies and consultancy for Attention Architects, applying eye-tracking research in corporate settings.

Andre Bergerمشاهده پروفایل

دانشیار

• Operations Research
• Optimization Algorithms
• Combinatorial Optimization
• +۳ مورد دیگر

Andre Berger is an Associate Professor of Operations Research at Maastricht University, affiliated with the QE Operations Research department within the School of Business and Economics. He holds a PhD in Mathematics from Emory University (2006) and completed a postdoc at Technical University Berlin. His research focuses on optimization algorithms, combinatorial optimization, and their applications in scheduling, network design, and operations research. Notable contributions include work on the many-visits Traveling Salesman Problem and cluster editing algorithms. Berger’s recent publications span scheduling theory, MRI-based clinical research collaborations, and theoretical advancements in facility location models. He is based at Tongersestraat 53, Maastricht, and can be reached via a.berger@maastrichtuniversity.nl. Education: MSc in Mathematics, Emory University (2003) PhD in Mathematics, Emory University (2006) Research Interests: Berger’s work bridges theoretical computer science and practical applications in operations research, emphasizing algorithm design for complex optimization problems. Key areas include scheduling algorithms, network flow optimization, and geometric optimization challenges such as the Apollonius problem in facility location. His interdisciplinary approach integrates mathematical programming with real-world scenarios in telecommunications and healthcare.

Yan Fengمشاهده پروفایل

استادیار

• mobility behavior
• eXtended Reality (XR)
• evacuation behavior
• +۳ مورد دیگر

Dr. Yan Feng is an Assistant Professor at Delft University of Technology's Department of Transport and Planning and Director of the Mobility in eXtended Reality (XR) Lab. Her research focuses on using XR technologies (Virtual, Augmented, and Mixed Reality) to study human mobility behavior in urban environments, including walking, cycling, automated vehicles, and public transportation. She leads interdisciplinary research at the intersection of transportation engineering, design, architecture, and human-computer interaction, aiming to advance human-centered and inclusive mobility systems. Her research interests include mobility behavior analysis, XR-based methodologies for studying wayfinding, evacuation scenarios, human-vehicle interaction, safety training, and accessibility. Key contributions involve developing XR tools for urban mobility research and addressing diversity and inclusion in transportation systems. Recent work emphasizes validating VR simulations against real-world environments and analyzing pedestrian behavior in high-risk scenarios. Articles highlight methodologies for crowd management strategies, pedestrian choice modeling, and evacuation dynamics. No scientific awards are explicitly mentioned in the provided texts. Dr. Feng’s activities include organizing conferences (e.g., XRIA 2024), delivering keynote talks on automated driving and cycling simulator studies, and serving on editorial boards like the Delft Young Academy. The Mobility in eXtended Reality Lab is central to her work, fostering collaborations across disciplines to innovate mobility solutions.

Maarten Hornikxمشاهده پروفایل

استاد

• Building Acoustics
• Computational Sound Propagation Modeling
• Mixed Reality Sound Reproduction
• +۴ مورد دیگر

Maarten Hornikx is a Full Professor in Building Acoustics at the Department of the Built Environment , Eindhoven University of Technology. He serves as Vice-Dean of the department, leads the Building Acoustics Chair of Unit Building Physics and Services (BPS), and coordinates the Science of Sound and Music course series since 2013. His research focuses on computational modeling of sound propagation in built environments, with applications in mixed reality platforms and numerical analysis of outdoor/indoor propagation effects like vegetation and meteorological influences. Education : PhD in Applied Acoustics (Chalmers University of Technology, 2009); MSc in Architecture, Building and Planning (2004) Hornikx promotes open research software in acoustics and has received multiple grants, including Marie Curie Individual and Career Integration Grants. His recent publications explore AI-driven diffusion equation modeling, acoustic absorber optimization, and advanced numerical methods like the discontinuous Galerkin technique. He has held international leadership roles, including chairing the Computational Acoustics Technical Committee of the European Acoustics Association and serving as Associate Editor for Acta Acustica . Scientific Awards : Marie Curie Fellowship (2009-2011); Marie Curie Career Integration Grant (2012); 4TU.Built Environment Center Scientific Director (2020-2021); eScience Center Fellow (2022) As a research leader, Hornikx guided the H2020-ITN Acoutect project and conducted sabbaticals at Aalto University, Stockholm University (2018), and Politecnico Torino (2022). His group emphasizes computational acoustics and open-source tools to enhance reproducibility and collaboration.

Pieter Desmetمشاهده پروفایل

استاد

• Emotional Design
• Positive Design
• User Experience
• +۳ مورد دیگر

Pieter Desmet serves as Professor of Design for Experience at Delft University of Technology's Faculty of Industrial Design Engineering, specifically within the Department of Human-Centered Design. He directs the Delft Institute of Positive Design, focusing on advancing knowledge for designing human flourishing. His research centers on emotional design mechanisms, particularly how product design evokes emotions and contributes to individual and community well-being. Key interests include Positive Design frameworks, mood-regulation interventions, AI-emotion alignment, and multisensory experiences in packaging and museum contexts. Recent work explores liminal spaces in exhibits, autoethnography ethics, and group mood dynamics in workplaces. Analysis of his 275+ publications reveals consistent focus on emotional design theory with expanding applications in AI, healthcare, and sustainability. His work bridges academic research with practical design tools for emotional well-being. No scientific awards are documented in the provided materials. Desmet actively supervises doctoral candidates (evidenced by PhD thesis datasets) and secures research grants through institutional collaborations. His leadership in organizing major conferences like IASDR 2023 and Design & Emotion events demonstrates significant academic influence. He leads the Delft Institute of Positive Design research group, which investigates user experience aspects through interdisciplinary projects integrating psychology, design, and technology.

Bart Somersمشاهده پروفایل

دانشیار

• Combustion Engineering
• Alternative Fuels
• Internal Combustion Engines
• +۳ مورد دیگر

Bart Somers is an Associate Professor at Eindhoven University of Technology , affiliated with the Department of Mechanical Engineering . His primary affiliations include the Power & Flow Group and his own research group, Group Somers , alongside cross-cutting roles in EAISI (Eindhoven Artificial Intelligence Systems Institute) and EIRES (Eindhoven Research on Innovation and Sustainability in Energy Systems). He focuses on advancing combustion science , sustainable fuels , and engine efficiency , leveraging computational fluid dynamics (CFD) and experimental methods. His research interests span alternative fuels (hydrogen, bio-oils, biofuels), high-pressure spray combustion , and low-emission engine design . He investigates combustion optimization through CFD tools like large-eddy simulation (LES) and flamelet-generated manifolds (FGM), emphasizing fuel stratification , ignition dynamics , and emission control . His work bridges experimental diagnostics (e.g., spray visualization, OH* chemiluminescence) and numerical modeling. Academically, he teaches courses such as Thermodynamics , Clean Engines and Future Fuels , and Sustainable Vehicles , integrating practical projects into curricula. His educational activities emphasize interdisciplinary sustainability and innovation, including honors programs focused on professional development. Recent publications highlight his contributions to hydrogen injection strategies, biofuel applications in genset engines, and optimization of diesel-biofuel blends. His work aligns with global sustainability goals, addressing energy transition challenges through advanced combustion technologies.

• Animal Nutrition
• Dairy Cattle
• Methane Emission
• +۲ مورد دیگر

Jan Dijkstra is an Associate Professor at Wageningen University specializing in Animal Nutrition . His research focuses on dairy cattle nutrition, methane emissions, and nutrient efficiency. Academic Rank: Associate Professor Department: Animal Nutrition His work emphasizes: Mathematical modelling of methane production Phosphorus and nitrogen balance optimization Feed supplementation strategies for reduced emissions Genotype-environment interactions in dairy systems Recent publications highlight advancements in methane mitigation , nutrient cycling , and rumen microbiome dynamics . He serves as a promotor for multiple PhD projects and contributes to datasets on equine microbiomes and rumen metabolites. Scientific Awards American Feed Industry Association Award (2015) Publicatieprijs ASG (2013) Supervision PhD candidates: Kozorezov, Henry, Koning, Vivares Martinez EngD candidate: Holshof

• Collective Action
• Social Enterprises
• Historical Institutions
• +۵ مورد دیگر

Prof. Tine De Moor is a leading scholar at Rotterdam School of Management, Erasmus University Rotterdam , holding the Chair of Social Enterprise and Institutions for Collective Action . With a PhD in History from Ghent University (2003), she specializes in long-term institutional analysis of collective action across historical and modern contexts. Department of Business-Society Management ERIM Research Member Former Utrecht University Professor (2012-2020) Research Focus: Her work examines institutions for collective action from medieval commons to modern cooperatives, with key contributions to understanding energy cooperatives, citizen collectives, and social enterprises. She leads innovative citizen science projects and investigates labor market participation patterns over the past millennium. Publication Trends: Recent articles focus on platform cooperatives in the gig economy , energy prosumerism motivations , and institutional grammar applications . She explores paradoxes in cooperative governance and develops computational models for historical institutional analysis. Awards & Grants: Recipient of prestigious honors including ERC Starting Grant NWO-VIDI Grant International Association for Study of the Commons Leadership Advising & Collaboration: She has co-authored with scholars like Daan van Weeren and David Bunders, with significant citations in environmental and social science domains. Her work informs policy on collective resource management and sustainable transitions. Labs & Teams: Founding editor of the International Journal of the Commons , she leads the CollectieveKracht knowledge platform and collaborates with Triodos Bank stakeholders. Her research integrates GIS, archival analysis, and agent-based modeling.

Ioannis Athanasiadisمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Agricultural Modeling
• +۷ مورد دیگر

Ioannis Athanasiadis is a Full Professor and Chair of Artificial Intelligence at Wageningen University & Research (The Netherlands). He leads the Artificial Intelligence (AIN) group, focusing on advancing AI methods for global challenges in agriculture, ecology, and sustainability. Previously, he was faculty at the Dalle Molle Institute for Artificial Intelligence (IDSIA, Switzerland) and the Democritus University of Thrace (Greece). He holds a PhD (2005, cum laude) in Electrical and Computer Engineering from Aristotle University of Thessaloniki. His research integrates machine learning, knowledge engineering, and environmental modeling to address food security, climate adaptation, and ecosystem services. He leads initiatives like AgML (AgMIP's machine learning benchmarking effort) and coordinates European grants such as LTER-LIFE and CYBELE . Prof. Athanasiadis has supervised over 40 PhD/postdoc researchers and serves as Editor of Environmental Modelling and Software . He collaborates internationally on projects involving AI for crop modeling, digital twins, and sustainable agriculture. His team develops frameworks like Crop2ML and PyCrop2ML to enhance interoperability between process-based models and machine learning systems.

Theo Arentzeمشاهده پروفایل

استاد

• Spatial Choice Behavior
• Decision Support Systems
• Activity-Based Modeling
• +۹ مورد دیگر

Theo Arentze is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of the Built Environment, leading the Real Estate Management and Development group. He is affiliated with EAISI Health and EAISI Mobility research institutes. Education: MSc in Psychology (Cognitive Psychology & AI) from Groningen University, PhD from TU/e Urban Planning Research: Spatial choice behavior, decision support systems, activity-based modeling, agent-based simulation His research integrates bounded rationality into spatial choice models to enhance behavioral realism, with applications in real-estate management , neighborhood development , healthy cities , and hybrid work environments . Recent work includes child-friendly urban planning and energy-efficient housing impacts . Prominent article themes include: Hybrid work location decisions Urban public space affective experiences Child friendliness in residential choices Sustainable energy preferences Spatial decision support systems Social network modeling Scientific recognition includes: Best Poster Award (2025) - Computational Urban Planning Conference Long Paper of Distinction (2021) - Healthy Buildings Europe EuroFM Best Paper Award (2017) Pyke Johnson Award (2016) As an educator, he teaches courses in Urban Planning , Housing Economics , and Quantitative Research Methods . His multidisciplinary team combines expertise from psychology, sociology, and urban economics to create high-quality built environments through behavioral research.

Sanne Kruikemeierمشاهده پروفایل

استاد

• Digital Media
• Political Communication
• Social Media and Polarization
• +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.