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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.

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

Dr. Paul Poodt is Associate Professor in Applied Physics at Eindhoven University of Technology, specializing in advanced thin film deposition techniques. His research advances plasma-enhanced and atmospheric-pressure atomic layer deposition for solar cells and electronic devices. Work focuses on conformal coating processes, surface passivation, and novel precursor chemistries. Recent innovations enable nanoscale material control on complex 3D structures for energy applications. Publications in high-impact journals demonstrate breakthroughs in deposition speed and material performance. Collaborations include industry partnerships for semiconductor manufacturing improvements.

• Atomic Layer Deposition
• Thin Film Technology
• Plasma Processing
• +2 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.

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

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

Anna Salvati is an Associate Professor specializing in nanomedicine and drug delivery systems. Her research focuses on nanoparticle-cell interactions, biomolecular corona formation, and the physicochemical properties governing nanomaterial behavior in biological environments. Key research themes include cellular uptake mechanisms, toxicity of nanomaterials, and nanoparticle targeting strategies. Recent publications highlight her work on nanoparticle stability, membrane interactions, and environmental impacts of microplastics. Her studies integrate multiomics approaches, advanced imaging, and interlaboratory validation to address challenges in nanomedicine design and safety testing. Current projects explore the role of high-density lipoproteins in nanoparticle functionality and the modulation of drug release kinetics through material engineering.

• Nanomedicine
• Drug Delivery Systems
• Cellular Uptake of Nanoparticles
• +3 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 .

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

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

• Hyperbolic Deep Learning
• Computer Vision
• Vision-Language Models
• +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.

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

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

Sabine Waschull is an Assistant Professor of Operations Management at the Faculty of Economics and Business, University of Groningen. She holds a MSc and PhD in Operations Management from the same institution. Her research focuses on human-centric design in Industry 4.0/5.0 contexts, including AI integration, digitalization, and work system evaluation. She is a member of the IFIP WG 5.7 working group on Production Management Systems. Her teaching includes courses such as Smart Industry Operations, Technology-Enabled Innovation, and Operations Strategy & Technology across bachelor and master programs. Her work emphasizes human-AI synergies and co-creation methodologies in manufacturing systems. Recent research trends highlight AI-driven enterprise interoperability, socio-technical evaluation of manufacturing systems, and human-centric design of augmented reality tools. Collaborations with co-authors like Christos Emmanouilidis and Joost Bokhorst explore AI ethics, digital twin integration, and assembly process optimization.

• Industry 4.0/5.0
• Work Design
• Digitalization
• +3 more

Mykola Pechenizkiy is a Full Professor at the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), holding the Data Mining Chair. He also serves as an Adjunct Professor in Data Mining for Industrial Applications at the University of Jyväskylä. His research focuses on predictive analytics, data mining, and responsible AI, addressing real-world challenges in industry, healthcare, and education. He leads the Customer Journey research program at the Data Science Center Eindhoven, emphasizing ethical and transparent analytics. Academically, he holds a PhD from the University of Jyväskylä (2005) and has held visiting researcher positions at institutions like Columbia University and NYU. He has co-authored over 300 peer-reviewed publications and serves on editorial boards and committees for leading conferences (e.g., AAAI, IJCAI). He is the President of the International Educational Data Mining Society (IEDMS). His research interests include concept drift adaptation, sparsity techniques in neural networks, and fairness-aware AI. He has led projects such as the TKI PPS KPN Smart Two initiative and collaborates with industries like ASML, Philips, and Rabobank. His work contributes to UN SDGs, particularly in sustainable development through AI-driven solutions. Awards: Best Demo Paper Award (IEEE ICDE 2023), Best Paper Awards (ALA 2022, LoG 2022), and SensorKDD 2009 recognition. Grants/Projects: Active projects include TKI PPS KPN Smart Two (2019–2025) and Smart One W&I TKI KPN Flagship (2018–2022). Labs/Teams: Affiliated with EAISI Health, SIKS Scientific Board, and the University of Waikato’s AI Institute.

• Data Science
• Machine Learning
• Predictive Analytics
• +5 more

Wiebe M. de Vos is a Full Professor at the MESA+ Institute, University of Twente, where he leads research in advanced membrane technologies. His work bridges fundamental polymer chemistry and practical applications in water treatment and sustainability. Full Professor, MESA+ Institute, University of Twente His research focuses on membrane science, particularly polyelectrolyte multilayer systems, nanofiltration, and sustainable material design. He investigates how surface chemistry, phase separation, and polymer interactions influence membrane performance in complex aqueous environments. His work addresses critical challenges such as nanoplastics removal, salinity management, and micropollutant degradation. The recent publications highlight a strong trend in developing next-generation membranes with enhanced stability, selectivity, and environmental compatibility. His team explores pH-responsive systems, biocatalytic membranes, and scalable fabrication methods, contributing significantly to both academic knowledge and industrial applications in water purification. No scientific awards were mentioned in the provided text. Dr. de Vos has supervised 22 academic works, indicating active mentorship of Master’s and PhD students. While specific grants are not detailed, his extensive research output and dataset publications suggest sustained funding and collaborative projects. His research integrates experimental design, material characterization, and process engineering. His work is conducted within the MESA+ Institute, a leading nanotechnology research center, fostering interdisciplinary collaboration in materials science and engineering.

• Membrane Science
• Polyelectrolyte Multilayers
• Nanofiltration
• +7 more

Katrin Schollbach is an Assistant Professor in the Building Materials department at Eindhoven University of Technology's School of Built Environment . Her research focuses on sustainable utilization of industrial by-products in construction materials, particularly steel slags from fossil-free steelmaking processes. Expertise: BOF slag activation, carbonation resistance, heavy metal immobilization, eco-friendly binders Projects: Leading the SLAK project (2023-2029) on future slags from fossil-free steelmaking Collaborations: Active international collaborations in construction materials research Schollbach's work explores the chemical and mineralogical properties of industrial waste materials, optimizing their performance in building applications. Key research themes include chemical activation techniques, carbonation processes, and material characterization using scanning electron microscopy and X-ray diffraction. Recent publications highlight her innovative approaches to BOF slag activation, sewage sludge-based sealing materials, and marine infrastructure applications. Her research output demonstrates consistent growth with 89 total publications and collaborations across multiple disciplines. She contributes to education through courses like Climate-responsive Building Design and Masterproject BPS Research , and maintains active research partnerships with institutions worldwide.

• Building Materials
• Sustainable Construction
• Waste Valorization
• +4 more

Zian Qin serves as an Associate Professor in the Department of Electrical Sustainable Energy at Delft University of Technology, Netherlands. His academic journey includes a B.Sc. from Beihang University (2009), M.Sc. from Beijing Institute of Technology (2012), and Ph.D. from Aalborg University (2015), all in Electrical Engineering, with a Visiting Scientist stint at RWTH Aachen University (2014). B.Sc., Electrical Engineering, Beihang University (2009) M.Sc., Electrical Engineering, Beijing Institute of Technology (2012) Ph.D., Electrical Engineering, Aalborg University (2015) His research centers on power electronics-based grid stability, solid-state transformers, and battery energy storage systems. Key contributions span DC microgrid control, magnetic material optimization, and EV charging infrastructure, with fingerprints highlighting expertise in power quality ( 100% ), voltage stability ( 87% ), and grid-forming applications ( 79% ). Current projects like ECS4DRES and GROW focus on resilient renewable energy systems and African energy storage solutions. His 154+ publications reveal strong emphasis on power electronics control ( 83% ), grid integration ( 79% ), and EV technologies ( 42% ), with recent work targeting microgrid vulnerability reduction and data-driven magnetic loss modeling. Awards include IEEE Prize Paper Awards (2023), World Top 2% Scientist recognition, and IEEE Innovation Awards (2024). IEEE International Challenge Excellent Innovation Award (2024) IEEE Open Journal Prize Paper Award (2023) World's Top 2% Scientist (2022-2024) Featured IES Journal Articles (2023) IEEE TIE Distinguished Reviewer (2020) As Founding Chair of IEEE Transportation Electrification Council Benelux Chapter and Dutch National for Cigre WG B4.101, he leads critical industry collaborations. His editorial roles in IEEE TPEL/TIE/JESTPE and projects like PROGRESSUS demonstrate significant grant leadership in next-generation power infrastructure. Lab activities focus on DC systems, energy conversion, and storage validation through Delft's Electrical Sustainable Energy facilities.

• Power Electronics
• Power Quality and Stability
• Solid-State Transformers
• +4 more