Mariëlle P.J. Aarts is an Assistant Professor in the Built Environment faculty at Eindhoven University of Technology, with joint affiliation to the Intelligent Lighting Institute. Her research investigates how lighting conditions affect human health and well-being, particularly in workplaces and healthcare settings. She leads projects on energy-efficient lighting solutions and daylight integration in buildings. She chairs the Light and Health Research Foundation SOLG and coordinates international education initiatives in Vietnam and Myanmar. Her methodological expertise includes field studies, computational simulations, and physiological measurements to assess lighting impacts. Awards include 'Best Supervisor' (2021) and 'Exemplary Research' (2020) from TU/e.
Jan L.M. Hensen is Full Professor emeritus at Eindhoven University of Technology (TU/e) in the Building Physics & Services unit and Full Professor of Environmental Engineering at Czech Technical University, Prague. His research specializes in computational modeling for high-performance building design, focusing on renewable energy integration and indoor environmental quality. Research interests include multi-scale building simulation, energy optimization under uncertainty, and climate adaptation strategies for buildings and neighborhoods. His work addresses societal challenges in energy transition through advanced computational approaches. Professor Hensen has received numerous honors including Fellowships from IBPSA, ASHRAE and REHVA. He serves as co-editor-in-chief of the Journal of Building Performance Simulation and supervises graduate students internationally. Awards: ASHRAE Distinguished Service Award Czech Technical University Innovation Award Best Paper Awards B.J. Max Prize He leads projects on intelligent building systems and solar integration, collaborating through EIRES Research.
Ted Stathopoulos is a Professor at the Department of Building Physics, Eindhoven University of Technology. His expertise focuses on Computational Fluid Dynamics (CFD), wind engineering, and urban environmental modeling. He has been actively involved in research addressing pollutant dispersion, airflow around buildings, and sustainable urban energy systems. His work contributes to the UN Sustainable Development Goals related to clean energy and sustainable cities. Notable achievements include awards such as the Best Paper Award (2012, 2015) and recognition as a top-cited author in Atmospheric Environment. He has collaborated extensively, including with Blocken and Carmeliet on high-impact studies. His research emphasizes practical applications of CFD in urban planning and renewable energy. Key contributions include advancements in pedestrian wind comfort assessment, pollutant dispersion modeling, and urban wind energy potential analysis. His work bridges theoretical CFD techniques with real-world environmental challenges, influencing policy and engineering practices globally.
Jan Diepens is a Researcher at Eindhoven University of Technology specializing in Computational Fluid Dynamics (CFD) applications for indoor air quality and pandemic response. He actively contributes to UN Sustainable Development Goals through projects like Programma Pandemische Paraatheid en Ventilatie (2022-2025) and CLAIRE LSHM22032 - Clean Air For Everyone (2022-2026), focusing on aerosol dispersion control in buildings. His research centers on Computational Fluid Dynamics , Air Quality Engineering , and Indoor Environmental Systems , with emphasis on ventilation optimization, air cleaner efficacy, and aerosol particle behavior in sports facilities, gyms, and experimental chambers. Recent work demonstrates practical solutions for pandemic-safe indoor spaces through CFD modeling and laboratory validation. Analysis of 2021-2024 publications reveals strong thematic focus on pandemic-responsive building design , particularly CFD-aided ventilation strategies and portable air cleaner testing. Key trends include quantification of aerosol removal efficiency in gyms, experimental validation of airflow dynamics, and development of performance metrics for infection-risk mitigation technologies. Diepens has supervised 12 research projects and secured funding through major initiatives including Reliable Accelerated Powergeneration for Industrial Deployment (MOOI20FO87U, 2020-2024) and Towards safe indoor sports events during pandemics (LSHM20077, 2020-2022). His collaborative network spans engineering, public health, and building physics disciplines across multiple European institutions.
M.J. Tenpierik is a Professor at the Faculty of Architecture and the Built Environment at Delft University of Technology (TU Delft). Their research focuses on acoustic engineering, building physics, sustainable architecture, and energy efficiency. With 142 publications and 9 supervised works, they contribute to advancing environmental and climate design through empirical validation and innovative solutions. Research Interests : Acoustic performance in buildings and urban environments Thermal and moisture dynamics in construction materials Sustainable urban design balancing solar and noise exposure Smart technologies for energy-efficient building systems Key Contributions : Developed decision-support frameworks for lower-temperature heating renovations Validated heat-air-moisture models in collaborative studies Explored occupant behavior impacts on indoor thermal comfort and air quality Labs/Teams : Involved in projects like Sunrise IR and collaborations on facade roadmap strategies. Active in workshops on engineering simulations and smart material applications.
Karina Vink is a prominent researcher specializing in environmental sciences, climate change adaptation, and disaster management. Her work bridges ecological systems with human vulnerability, focusing on sustainable urban development and policy integration. She has contributed to over 25 peer-reviewed publications, emphasizing topics like green infrastructure, cyclone preparedness in Bangladesh, and flood risk perception in informal settlements. Her research aligns with UN Sustainable Development Goals, particularly addressing climate action (SDG 13), sustainable cities (SDG 11), and reduced inequalities (SDG 10). Key areas include evaluating the dual challenges of climate mitigation and energy transition, as well as leveraging green infrastructure to enhance resilience against natural hazards and epidemics. Recent work highlights innovative applications such as digital twins for energy demand simulation and sponge city concepts. She actively disseminates findings through international conferences, including presentations on climate adaptation strategies in the Netherlands and Hawaiʻi. Media engagement includes features in Utoday online (Dutch), amplifying her contributions to public discourse on environmental policy.
Prof. Ihsan Bal is a Professor at the University of Groningen's Faculty of Science and Engineering, specializing in Computational Mechanical and Materials Engineering. His research focuses on earthquake engineering, structural dynamics, and masonry structures. He leads investigations on induced seismicity impacts, heritage building resilience, and innovative retrofitting techniques. Key collaborations include studies on the 2023 Kahramanmaraş earthquakes and Groningen-induced seismicity effects. His work bridges experimental mechanics, computational modeling, and AI applications, addressing structural vulnerability and code compliance. Notable projects include shake table testing of masonry walls and sensor-based monitoring of construction vehicles. He contributes to interdisciplinary efforts in seismic risk assessment and cultural heritage preservation. Recent research emphasizes damage patterns from recent earthquakes, low-cost sensor solutions, and transfer learning for crack detection. His findings inform seismic codes and risk mitigation strategies globally.
Lisanne C. Havinga is an Assistant Professor at the School of Built Environment , Eindhoven University of Technology. Her work focuses on circular and emission-free renovation, energy performance, and machine learning applications in building systems.
Dr. Onuralp Ulusoy is a Researcher at Utrecht University's Faculty of Science, specifically within the Software Technology for Learning and Teaching department. Based at the Buys Ballot Building in Utrecht, he focuses on the intersection of privacy, artificial intelligence, and collaborative systems. His research spans Applied Data Science and Human-centered Artificial Intelligence, with particular emphasis on privacy mechanisms in online environments. Ulusoy's work explores how privacy norms emerge and can be managed in collaborative settings, especially within social networks. His publication record shows a clear trajectory in privacy research, evolving from foundational work on privacy auctioning mechanisms to more recent applications in learning analytics. His most cited work, 'PANOLA: A Personal Assistant for Supporting Users in Preserving Privacy' (2022), demonstrates practical applications of his theoretical frameworks. Recent publications indicate an expansion into educational technology with tools like 'mAIchart' for primary school educators. As a researcher at Utrecht University, Ulusoy has established himself as a specialist in privacy-preserving collaborative systems, with publications spanning top conferences in multi-agent systems, access control, and social network analysis.
Rob Bemthuis is an Assistant Professor at the University of Twente, affiliated with both the Digital Society Institute and Pervasive Systems research group. His work bridges multiple disciplines including Artificial Intelligence , Process Mining , and Agent-Based Simulation , focusing on Edge AI , Transport Systems , and Environmental Resilience . SDG-related expertise: Artificial Intelligence, Autonomous Systems, Environmental Sustainability Key research areas: Process Mining, Agent-Based Modeling, Data Mining, Smart Industry Methodological contributions: Hybrid modeling frameworks, CRISP-DM adaptation, AHP-based decision structures Recent publications demonstrate his focus on construction safety through IoT-enabled systems, logistics resilience modeling, and healthcare pathway analysis . He has developed practical tools for process mining in SMEs and Industry 4.0 assessments. Scientific recognition includes: Best Doctoral Consortium Paper Award (2019) Best Poster Award (ICT.OPEN 2019) Outstanding Service to PhD Community (University of Twente, 2022) Active in academic dissemination through invited talks and conference participation at events like EDOC 2024 and CBI 2024, his work emphasizes real-world implementation of data-driven systems across diverse domains.
Hèrm Hofmeyer is an Associate Professor in the Department of the Built Environment at TU/e, specializing in Computational Structural Design and Finite Element Method applications. He holds a PhD in Applied Mechanics/Steel Structures and has supervised over 89 theses, including 9 PhD and 2 PDEng projects. His work focuses on topology optimization, fire-structure interactions, and sustainable construction methods. Education: MSc in Computer Aided Structural Design/Applied Mechanics (1994), PhD in Applied Mechanics/Steel Structures (2000). He has been a visiting scholar at Universität Stuttgart and RWTH Aachen. Research Interests: Structural Design Automation Fire Safety Engineering 3D Printing in Construction Topology Optimization Finite Element Modeling Steel and Sandwich Panel Structures Awards: Recipient of TU/e's Best Lecturer awards (BSc 2019, MSc 2022) and EG ICE 2016 Best Paper Award. Active in academic service as a reviewer for journals and conference committees. Labs/Teams: Member of EAISI (Eindhoven Artificial Intelligence Systems Institute), ECCS-TC7 (European Convention for Constructional Steelwork), and CIB-W78 (International Council for Research and Innovation in Building and Construction).
Bas van der Geer is a Consultant in Applied Physics and Science Education at Eindhoven University of Technology, specializing in Coherence and Quantum Technology. His research spans particle beam physics with significant contributions to ion and electron beam technologies, as evidenced by 113 research outputs since 1998 and over 1,667 Scopus citations. His research focuses on: Ion Beam and Ion Source development (100% and 77% relevance in research fingerprint) Electron Diffraction and Source technologies (58% and 41% relevance) Laser Cooling applications (42% relevance) Space Charge effects (44%) and Electric Fields (47%) Energy Engineering solutions (56%) Analysis of his publication history reveals consistent advancement in precision beam control, with recent work (2024) demonstrating breakthroughs in sub-picosecond electron beam measurement, building on earlier foundational research in ultracold electron sources and laser-cooled ion beams. His work bridges fundamental physics with practical engineering applications in quantum technology. Dr. van der Geer maintains active international collaborations, with research referenced in patents and covered by news outlets. His 2012 presentation at the Coldbeams workshop in Nîmes demonstrates ongoing engagement with the global research community despite reduced publication frequency in recent years.
Evert van Beek-van der Knijff serves as a Research Associate at Vrije Universiteit Amsterdam's Faculty of Social Sciences and Humanities within the Lived Religion and Society group. His work bridges technical innovation and human-centered design across multiple disciplines. His research focuses on Generative Artificial Intelligence (100% fingerprint match), Design Research (80%), and Human-Computer Interaction , with specific expertise in smart home systems, immersive experiences, and designer-AI collaboration. The fingerprint analysis reveals strong connections to agent interaction, serious games, storyboards, and user expectation modeling in digital environments. Recent publications demonstrate a clear trajectory from sustainable architecture (2021-2022) toward AI-driven design frameworks (2023-2025). His 2025 Human-Computer Interaction journal article examines crisis management in smart homes, while 2024-2023 DIS conference contributions pioneer generative AI applications for design practitioners. No scientific awards or fellowships are documented in the source material. Van Beek-van der Knijff actively collaborates across institutions including TU Delft (where he began PhD candidacy in September 2024) and partners like Giaccardi, Boess, and Bozzon. His research output shows consistent peer-reviewed contributions since 2021 with growing external collaborations in computer science and design fields. He contributes to emerging research communities at the intersection of lived religious practices and digital technology, particularly examining how smart objects mediate domestic spiritual experiences.
Marcel A.P. van Aarle is a researcher at Eindhoven University of Technology's School of Built Environment, specializing in building physics and climate impact studies. His work bridges engineering and cultural heritage conservation through advanced environmental modeling. Research focuses on moisture transport dynamics in historic structures, climate change adaptation for building envelopes, and indoor air quality optimization . Key methodologies include hygrothermal simulation and numerical analysis of displacement ventilation systems. Recent publications demonstrate expertise in heritage site preservation, notably the Anne Frank House climate control system study (2020) and frost damage modeling in masonry under changing climate scenarios (2013-2015). Research aligns with UN Sustainable Development Goals for sustainable cities and climate action. Supervised work includes 6 academic projects, primarily focused on building physics applications. Current research explores moisture-related deterioration mechanisms in historic masonry under projected climate conditions.
Guang Hu is an Assistant Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), affiliated with the Energy Technology group, EIRES, and EAISI. His research integrates computational modeling, machine learning, and sustainable energy systems to address urban environmental challenges. Ph.D. in Nuclear and New Energy Technology, Tsinghua University (2019) Postdoctoral Researcher, Karlsruhe Institute of Technology, Germany Researcher, Paul Scherrer Institut (PSI), Switzerland Guang Hu's research focuses on machine learning-assisted modeling , multi-scale modeling , and sustainable energy applications , particularly in thermal and nuclear energy systems . His work aims to enhance urban resilience and energy efficiency through data-driven and physics-informed computational methods. He is actively involved in advancing solutions for nuclear waste management, solar energy integration in aging urban environments, and thermal-hydraulic process optimization. The recent publications highlight a strong trend in applying machine learning and surrogate modeling to complex energy systems, especially in nuclear waste management and urban solar energy . His work bridges computational efficiency with real-world sustainability challenges , emphasizing practical applications in full-scale experiments and geochemical processes . The interdisciplinary nature of his research spans nuclear engineering , urban sustainability , and artificial intelligence . Scientific Awards and Recognition: Ph.D. with distinction, Tsinghua University Active reviewer for leading journals in computational modeling and energy Contributor to UN Sustainable Development Goals (SDGs) in clean energy and sustainable cities Guang Hu actively mentors students and collaborates internationally, though specific advisees are not listed. He has participated in significant research collaborations with institutions in Germany and Switzerland and contributes to major conferences such as ICONE and EU PVSEC. His work is supported by ongoing research activities within TU/e’s energy and AI institutes. While specific grants are not detailed, his funding is inferred through sustained research output and international partnerships. He is associated with research initiatives including digital twin development for nuclear waste, surrogate modeling for geochemical processes, and performance assessment of solar systems in Dutch urban contexts. These efforts are part of broader teams at TU/e focused on energy transition, AI for engineering, and sustainable infrastructure.
