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Willemijn van DolenView profile

Professor

• Consumer Behavior
• Marketing Strategy
• Social Media Analysis
• +5 more

Prof. Willemijn van Dolen is a Professor in the Section of Marketing at the Faculty of Economics and Business, University of Amsterdam. Her research focuses on consumer behavior, marketing strategies in digital environments, and the psychological impacts of communication in service encounters. She has extensively studied topics such as visual influence in consumer decisions, corporate greenwashing detection, and the role of humor in service interactions. Her academic career includes notable contributions to understanding online consumer behavior through multimodal datasets and AI frameworks. She has published widely on social media analytics, CSR communication, and child helpline effectiveness, bridging psychological insights with practical marketing applications. Prof. van Dolen’s work emphasizes empirical investigations into customer engagement, ethical consumption, and the interplay between digital platforms and human decision-making. Her research demonstrates a consistent focus on real-world applications, from optimizing brand posts on Instagram to analyzing CEO communication during global crises. Her studies often employ interdisciplinary methods, combining marketing theory with data science and behavioral economics. Despite her prolific output (over 50+ publications), no specific scientific awards are highlighted in the provided texts.

Samarpita RoyView profile

Assistant Professor

• Microbial Ecology
• Metagenomics
• Wastewater Treatment
• +3 more

Samarpita Roy is an Assistant Professor at TU Delft's Faculty of Applied Sciences, leading the Environmental Biotechnology department's Samarpita Roy Group. Her research focuses on microbial ecology in engineered bioprocesses, integrating metagenomics and quantitative physiology to study microbial metabolisms and community interactions. Key projects include exploring phototrophic and polyphosphate-accumulating organisms in wastewater treatment for nutrient/resource recovery. She actively seeks industrial collaborations and is hiring PhD candidates in metagenomics/microbial ecology. Research emphasizes understanding microbial community dynamics under fluctuating conditions, developing sequencing/data analysis workflows, and applying findings to enhance bioprocess efficiency. Her work aims to advance circular bioeconomy solutions through innovative biotechnology approaches.

• AgriFood Supply Chain Logistics
• Supply Chain Management
• Logistics Network Design
• +4 more

Prof. Jack van der Vorst is the Personal Professor of AgriFood Supply Chain Logistics at Wageningen University's Operations Research and Logistics Group. Previously serving as a member of the Board of Directors of Wageningen University & Research (until 2024) and General Director of the Social Sciences Group, he leads over 1000 personnel across three institutes. His advisory roles include the Topteam AgriFood (Science Captain), Top consortium for Knowledge and Innovation (TKI), The Sustainability Consortium (TSC), and Florensis BV's Supervisory Board. With 20+ PhD supervisions and 200+ publications, his research focuses on innovative logistics concepts in AgriFood systems, including supply chain resilience, sustainability, and system innovation. His work integrates modeling frameworks with practical industry applications, emphasizing perishable products, horizontal collaboration, and environmental efficiency. Research interests span AgriFood System Design, Supply Chain Strategy, and Performance Management. His recent studies address challenges like postharvest loss reduction in developing countries, CO2 emission minimization in cold chains, and circular economy implementation in mushroom supply chains. Methodologically, he employs multi-criteria decision models, optimization techniques, and simulation to address complex logistics problems. Publications highlight themes such as horizontal collaboration success factors, vulnerability assessment frameworks, and green supply chain design. His work bridges academic rigor with industry needs, often collaborating with policymakers and international organizations to promote sustainable agri-food systems.

Ivo J.B.F. AdanView profile

Professor

• Manufacturing Systems
• Warehousing Systems
• Transportation Systems
• +3 more

Prof. Ivo J.B.F. Adan is a Full Professor at Eindhoven University of Technology (TU/e), holding chairs in both Industrial Engineering & Innovation Sciences and Mechanical Engineering. His research focuses on stochastic operations research, queueing models, and manufacturing systems design. He has held visiting positions at the University of North Carolina and was part-time professor at the University of Amsterdam (2008–2011). Education: MSc and PhD in Mathematics from TU/e Affiliations: Eurandom Senior Fellow, Beta Research Director, editorial roles at Queueing Systems and Probability in Engineering and Informational Sciences His work addresses warehouse optimization, transportation logistics, and semiconductor manufacturing. Notable achievements include: Developed analytical models for zone picking systems and conveyor networks Advanced understanding of FCFS infinite bipartite matching systems Recipient of multiple best paper awards including the IE&IS Valorization Prize (2023) Current projects include the DigiTwop digital twin-based warehouse optimization initiative and modular construction research. He teaches courses on stochastic modeling, manufacturing systems, and smart industry applications.

Ioannis AthanasiadisView profile

Professor

• Artificial Intelligence
• Machine Learning
• Agricultural Modeling
• +7 more

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.

Tessa QuaxView profile

Associate Professor

• Archaeal Virology
• Virus-Host Interactions
• Microbial Cell Biology
• +3 more

Prof. dr. Tessa Quax is an Associate Professor at the Faculty of Science and Engineering, University of Groningen, leading research in Molecular Microbiology . Her work focuses on archaeal virology and virus-host interactions, supported by prestigious grants including an ERC Starting Grant (2022) and NWO Vidi Grant (2023). Key Research Areas: Archaeal virus entry/egress mechanisms Cell surface dynamics and motility Extreme environment microbiology Genetic tool development for archaea Recent publications in Nature Reviews Microbiology (2025) and Current Opinion in Microbiology (2024) highlight her work on viral host recognition and structural diversity. Her lab's 44 research outputs span archaeal cell biology, viral evolution, and ecological impacts of virus-induced lysis. Scientific Recognition: KNAW Beijerinck Premium (2022) KNAW Early Career Award (2021) Hector Research Career Development Award (2021) ERC Starting Grant (2022) As Chair of the International Society for Viruses of Microbes SAB and Speaker of the German Microbiology Society's Microbial Viruses group, she coordinates global research networks including a HFSP grant (2023) with Japan/Australia/USA collaborators. Her lab currently includes PhD candidate Zaloa Aguirre Sourrouille and multiple postdoctoral researchers.

• Tectonics
• Lithosphere Deformation
• Structural Geology
• +3 more

Dr. Ernst Willingshofer is an Associate Professor of Tectonics in the Department of Earth Sciences at Utrecht University's Faculty of Geosciences. His research focuses on the coupling of deep crustal and upper mantle processes with surface deformation, particularly in collision zones and rift systems. He employs field studies and physical analogue modelling to investigate lithospheric rheology, strain localization, and tectonic evolution. Research Interests: Willingshofer's work spans tectonics, lithosphere deformation, and structural geology. Key themes include the influence of rheological stratification on strain partitioning, analogue modelling of orogenic systems, and dynamics of basins and orogens. His research has applications in understanding Alpine, Mediterranean, and global tectonic processes. Articles Trend: Recent publications (2021–2024) emphasize analogue modelling innovations, strain partitioning mechanisms, and tectonic evolution of collision zones. Subduction initiation, passive margin dynamics, and intracontinental deformation are recurring themes, with strong focus on Mediterranean and Alpine geology. Teaching & Advising: Coordinates BSc courses ( Deformation and Metamorphism of the Crust , Pyrenean Fieldwork ) and MSc courses ( Modelling Crust and Lithosphere Deformation , Dynamics of Basins and Orogens ). Supervises MSc, BSc, and guided research projects. Laboratory: Leads the Earth Simulation Lab, specializing in analogue modelling of tectonic processes.

• Clinical Psychology
• Personality Disorders
• Posttraumatic Stress Disorder
• +3 more

Simon Hofman is an external PhD candidate at the Erasmus School of Social and Behavioural Sciences and a Scientific Researcher at Parnassia Groep since April 2020. His work focuses on clinical psychology, particularly personality disorders, posttraumatic stress disorder (PTSD), and trauma therapy. Research Interests Diagnosis and treatment of personality disorders EMDR therapy and its theoretical foundations (AIP model) Impact of trauma on psychological and physiological responses Pharmacological influences on social neuroscience Randomized controlled trials in clinical settings Pain perception and behavioral adaptation Article Contributions 2024: Article on underdiagnosis of PTSD in personality disorder outpatients 2024: Article on AIP model for EMDR therapy in personality disorders 2022: TEMPO study protocol on trauma-focused EMDR 2021: Study on acetaminophen's effects on social rejection

Ming CaoView profile

Professor

• Multi-agent systems
• Autonomous Robots
• Complex Systems and Networks
• +4 more

Ming Cao is a Full Professor at the University of Groningen (Netherlands), holding positions in the Department of Discrete Technology and Production Automation, the Engineering and Technology Institute Groningen, and serving as Chair of the Jantina Tammes School of Digital Society, Technology and AI. His academic roles include Director of the Jantina Tammes School and membership in prestigious organizations such as the International Federation of Automatic Control (IFAC) and the European Commission’s DG CNECT. Cao’s research focuses on multi-agent systems, autonomous robotics, complex networks, and cooperative control, with applications in robotics, epidemic modeling, and biomimetic sensors. Education: PostDoc in Mechanical Engineering from Princeton University (2008), PhD in Electrical Engineering from Yale University (2007). Research Interests: Multi-agent systems, distributed decision-making, cooperative control, robotic teams, seal whisker-inspired flow sensing, and privacy-preserving control systems. Recent Trends in Articles: Recent work emphasizes co-evolutionary dynamics in social-technical systems, privacy in control systems, and biomimetic robotics. Key topics include feedback mechanisms in cooperation, hypergraph-based epidemic models, and seal whisker mechanics for underwater sensing. Awards: European Control Award (2016), Manfred Thoma Medal (2017), ERC Grant (2012). Grants: Vidi Grant from NWO (2015) for agent coordination research. Labs/Teams: Jan C. Willems Center for Systems and Control, Research Center for Data Science and Systems Complexity (DSSC). Active in editorial roles for journals like Artificial Life and Robotics and the SIAM Journal on Control and Optimization .

Michel VersluisView profile

Professor

• Physical and Medical Acoustics
• Microbubbles
• Microdroplets
• +5 more

Michel Versluis is a Full Professor at the University of Twente, Netherlands, specializing in Physical and Medical Acoustics within the Physics of Fluids group. His work focuses on microbubbles and microdroplets for medical imaging and therapy, as well as microfluidic applications in medicine and nanotechnology. University of Twente, Physics of Fluids group His research bridges physics and biomedical engineering, with publications in high-impact journals like PNAS and IEEE Transactions. Recent work emphasizes ultrasound-driven microbubble dynamics, additive manufacturing of flow phantoms, and deep learning for super-resolution imaging. 2025 publications: vascular phantoms, PROTEUS simulator, acoustic microbubble control 2024 innovations: 3D-printed medical devices, immunogenic cell death optimization Contact: m.versluis@utwente.nl

Pascal MettesView profile

Assistant Professor

• Hyperbolic Deep Learning
• Computer Vision
• Vision-Language Models
• +3 more

Pascal Mettes is a tenured Assistant Professor at the University of Amsterdam within the Informatics Institute, specializing in Artificial Intelligence. He leads groundbreaking research in hyperbolic deep learning, a field he has significantly advanced through theoretical developments and practical applications in computer vision and multimodal learning. His research focuses on three primary domains: hyperbolic vision-language models that address the hierarchical nature of language-vision relationships; hierarchical deep learning using hyperbolic embeddings that naturally accommodate exponential growth patterns; and robust deep learning in hyperbolic space that improves out-of-distribution detection and network resilience. Mettes has established himself as a leading figure in this emerging field through numerous publications at top-tier conferences including CVPR, ICCV, ICML, NeurIPS, and ICLR. His recent work demonstrates how hyperbolic geometry provides natural solutions to fundamental limitations in modern deep learning, particularly regarding hierarchical data structures that cannot be adequately represented in Euclidean space. The publication trends show increasing impact and recognition in the computer vision and machine learning communities, with multiple papers receiving oral presentations and best paper nominations. Best paper nomination ESWC25 for 'Designing Hierarchies for Optimal Hyperbolic Embedding' Finalist MM 2023 Best Open-Source Software Competition (for HypLL) Multiple reviewer awards across major conferences including CVPR, ICLR, ECCV, ICML, and NeurIPS MM 2016 Best Doctoral Student Award TRECVID 2015 Winner Multimedia Event Detection Benchmark Mettes actively mentors eight PhD students working on hyperbolic learning and related topics, while also securing significant research funding including ELLIs PhD Award, NWO ClickNL, Google Perception Academic Funding, and Data Science Centre PhD Grants. He serves in prominent academic roles as Program Chair for International Conference on Multimedia Retrieval 2026 and has organized multiple workshops on hyperbolic learning at major conferences. His leadership in establishing hyperbolic deep learning as a recognized research direction is evident through his survey paper in IJCV 2024 and the development of the HypLL library for hyperbolic learning.

• Microfluidics
• Catalyst Particle Research
• Organ-on-Chip Platforms
• +3 more

Mathieu Odijk is a Full Professor at the University of Twente's Faculty of Science and Technology, leading the Integrated Devices and Systems department. His research focuses on microfluidic systems, catalysis, and organ-on-chip platforms, with contributions to UN Sustainable Development Goals through advanced material characterization and biomedical engineering. He has authored over 120 publications and holds an h-index of 27 with 1,820 citations. Expertise: Microfluidics, catalyst particle diagnostics, SERS substrates, organ-on-chip systems, and spectroscopic techniques. Collaborations include Weckhuysen (catalysis), van den Berg (microfluidics), and Meirer (materials science). Key projects: Modular organ-on-chip platforms (STARTER), droplet-based catalyst screening, and real-time reaction monitoring via ATR-IR systems. His research combines nanotechnology and chemical engineering to develop tools for sustainable energy, environmental remediation, and biomedical applications. Recent work includes microreactors for catalyst particle analysis, light-driven urea oxidation for wearable kidney devices, and standardized platforms for organ-on-chip research.

Hyosang LeeView profile

Assistant Professor

• Tactile Sensing
• Robotics
• Soft Robotics
• +4 more

Hyosang Lee is an Assistant Professor in the Robotics Section of the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). He holds a PhD from KAIST and has held research positions at the Max Planck Institute and University of Stuttgart. His work focuses on tactile sensing technologies, including artificial skin development, soft robotics, and integration of sensory systems with AI. Bachelor's: Mechanical Engineering, Korea University Master's: Robotics and Mechanical Engineering (double major) PhD: Mechanical Engineering, KAIST (2017) Research interests span tactile sensor design, electrical impedance tomography (EIT), and human-robot interaction. His group emphasizes creating scalable, flexible tactile systems for robots. Recent work includes air pressure sensing for force estimation and biomimetic skin materials. Publications highlight innovations in multi-directional force sensing, soft component technologies, and haptic interfaces for autism therapy. He teaches 'Dynamics and Control of Robotic Systems' and serves on the editorial board of npj Robotics . No formal student advisees are listed, though his lab, the Tactile Sensing and Robotic Skin Group , likely involves graduate researchers. His research contributes to UN Sustainable Development Goals related to health and technology.

Sander LosView profile

Associate Professor

• Temporal Dynamics
• Cognitive Psychology
• Visual Attention
• +6 more

Dr. Sander Los is an Associate Professor at the Faculty of Behavioural and Movement Sciences (Department of Cognitive Psychology), Vrije Universiteit Amsterdam. He earned his PhD in 1994 with a thesis on 'On the origin of mixing costs: Exploring information processing in pure and mixed blocks of trials' under Prof. Andries Sanders. His research focuses on temporal dynamics of preparatory processes, co-developing the formalized Multiple Trace Theory (fMTP) to explain temporal preparation across time scales (seconds to days). His work integrates cognitive psychology, neuroscience, and computational modeling to explore attentional mechanisms, statistical learning, and spatiotemporal dynamics. Education: PhD in Cognitive Psychology (VU Amsterdam, 1994), postdoctoral research at VU Amsterdam, progressing to Assistant Professor before his current role. Key research areas include visual attention, response inhibition, and long-term memory. He has published over 40 peer-reviewed articles and serves on editorial boards for journals like Attention, Perception, and Psychophysics and Acta Psychologica . Research Interests: His studies investigate how humans prepare for upcoming events temporally and spatially, with recent work on statistical learning guiding visual attention and computational frameworks for temporal preparation. Collaborations emphasize interdisciplinary approaches to understanding attention allocation and neural underpinnings of timing. Grants & Advising: No explicit grants listed, but active in training students (1 supervised PhD thesis). His courses include Methodology, Research Methods, and Practical Skills for Researchers at VU Amsterdam. Labs/Teams: Works closely with colleagues on the fMTP model and statistical learning projects, emphasizing team-based computational and experimental psychology.

D.W.F. BrilmanView profile

Associate Professor

• Chemical Engineering
• CO2 Capture
• Biomass Conversion
• +3 more

D.W.F. Brilman (Wim) is an Associate Professor at the University of Twente's Faculty of Science and Technology, within the Department of Chemical Engineering. He holds a PhD in Chemical Engineering and has extensive experience spanning academia and industry. From 1993–2002, he was a lecturer at the University of Twente, supervising 30 MSc students and 2 PhD students. He served as a senior researcher at Sasol Technology (2002–2007) before returning to the University of Twente in 2007. His research focuses on biomass-to-fuels/chemicals conversion, CO2 capture, and multiphase reaction technology. Education: Bachelor's/Master's in Chemical Engineering (University of Twente, 1991, cum laude) Post-graduate designers-course in Process Design and Technology (Universities of Groningen and Twente, 1993) Research Interests: Biomass conversion into sustainable fuels and chemicals CO2 capture technologies Multiphase reaction systems Amine chemistry and water adsorption mechanisms His work integrates experimental studies and mathematical modeling to address industrial process challenges. Awards: Hoogewerff Ontwerpersprijs (1993) for outstanding design work with Shell. Advising & Grants: Supervised 30 MSc students and 2 PhD students between 1993–2002 Current focus on interdisciplinary projects in sustainable process technology Labs/Teams: Member of the TCCB (Thermo-chemical Conversion and Biomass) research group, collaborating on biomass conversion and CO2 utilization initiatives.