Jeroen Benjamins is Assistant Professor of Experimental Psychology at Utrecht University. His research uses eye-tracking, psychometrics, and neuroimaging to study human behavior in real-world contexts. Benjamins develops open-source tools for mobile eye-tracking analysis and investigates sleep phenotypes through large-scale data analysis. Research areas include: Gaze behavior in social interactions Wearable technology validation Insomnia subtyping Attention and perception in crowds
Dr. Alp Arslan is International Lecturer (Assistant Professor) in Logistics and Supply Chain Management at Lancaster University Management School. His research focuses on optimizing last-mile delivery systems through spatial data science approaches, particularly in crowdsourced and on-demand service contexts. Research Focus: Arslan develops algorithms for time-sensitive delivery systems including meal delivery platforms and personal shopper services. His work improves resource allocation in gig economy logistics while balancing customer experience and labor conditions. Awards & Recognition: Recipient of the Transportation Science Meritorious Service Award for contributions to logistics optimization research. Currently supervises PhD candidate Jing Lyu in supply chain optimization.
Professor Sven Müller specializes in quantitative approaches to transportation systems, urban logistics, and behavioral choice modeling. His research integrates operations research methodologies with spatial analytics to address complex public sector challenges, particularly in transit optimization and event logistics. Primary research interests include: Transportation policy analysis (electric vehicle adoption, tariff structures) Human mobility patterns (pedestrian dynamics, school commuting) Facility location theory in healthcare and public services Choice modeling applications in retail and supply chains Large-scale event safety management Publication analysis (2019-2025) reveals consistent themes: optimization techniques applied to urban mobility challenges; spatial behavior modeling using discrete choice frameworks; and empirical case studies of transportation systems across diverse cultural contexts (Germany, China, Saudi Arabia). Methodological innovations include logit-based assortment optimization and data-driven calibration of pedestrian flow models.
Prof. Alessandro Bozzon is a Full Professor of Human-Centered Artificial Intelligence (HCAI) at Delft University of Technology, holding dual appointments in the Faculty of Industrial Design Engineering and the Faculty of Electrical Engineering, Mathematics, and Computer Science. He leads the Department of Sustainable Design Engineering and chairs the Delft AI Labs and Talents initiative. His research focuses on developing AI systems that augment human capabilities while ensuring ethical and societal benefits, with contributions spanning HCAI, human-AI interaction, and algorithmic fairness. Awarded the 2023 Fellow of the Netherlands Academy of Engineering and recipient of the IBM Faculty Award (2017), Bozzon has pioneered projects like SocialGlass (urban analytics) and TROMPA (music digitization). He teaches courses on Machine Learning for Design and Crowd Computing, and has mentored over 70 graduate students. His work addresses challenges in healthcare AI, automated decision-making, and sustainable energy systems through interdisciplinary collaborations with industry and policymakers. Key projects include the Equal-Life initiative (children’s greenspace access) and FAIR digital product passports for ICT. He co-directs the Future Libraries Lab, exploring AI’s role in cultural heritage. His research has been featured in top venues like CHI, ACM conferences, and interdisciplinary journals.
Justin Lessler, PhD, is a Professor in the Department of Epidemiology at the University of North Carolina at Chapel Hill's Gillings School of Global Public Health. His research focuses on infectious disease dynamics and control, particularly SARS-CoV-2, influenza, cholera, and dengue, combining statistical modeling, dynamic simulations, and innovative study designs to improve outbreak response. He holds a PhD in Epidemiology from Johns Hopkins Bloomberg School of Public Health (2008), an MHS in Biostatistics (2008), an MS in Computer Science from Stanford (2003), and a BS in Mathematical Sciences from UNC Chapel Hill (1996). His work emphasizes synergies between infection control, data collection, and disease dynamics. Key research areas include: (1) developing predictive models for zoonotic spillover (e.g., ebolavirus), (2) analyzing cholera transmission patterns in sub-Saharan Africa, (3) evaluating vaccine effectiveness in endemic settings, and (4) advancing disease forecasting methodologies. He collaborates with institutions like the CDC on outbreak forecasting initiatives. Recent studies investigate mpox transmission networks among MSM populations, antibiotic resistance in Vibrio cholerae outbreaks, and influenza immunity patterns across lifespans. His methodological contributions include causal inference techniques and statistical frameworks for epidemiologic transportability. He advocates for improved infectious disease surveillance infrastructure and transparent outbreak data reporting standards. Publications span over 15 years of pandemic response research, emphasizing scenario modeling for policy guidance and systematic reviews of carceral epidemiology. While no specific awards are highlighted here, his work has significantly impacted global health preparedness strategies.
Riccardo Mazzon is a Researcher at the School of Electronic Engineering and Computer Science, Queen Mary University of London. As a CIS Research Manager, he focuses on privacy protection, computer vision, and machine learning applications. His work bridges technical innovation with ethical considerations, particularly in adversarial attacks, underwater imaging, and multi-target tracking. Research Interests: Privacy-Preserving Technologies Adversarial Machine Learning Computer Vision for Surveillance and Environmental Monitoring Image Quality Assessment and Enhancement Multi-Camera and Crowd Analysis Systems Publications highlight a focus on privacy challenges in digital systems, with recent contributions on adversarial reversibility and underwater image filtering. Earlier work explores crowd dynamics and multi-target tracking algorithms. No scientific awards or grants are explicitly listed in the provided data. Labs/Teams: Likely affiliated with Queen Mary’s Computer Vision and Security research groups, though specific lab affiliations are not detailed.
Yonglei Fan is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on interdisciplinary applications of sensor technologies, machine learning, and spatial analytics. Key areas include indoor positioning systems, human activity recognition, environmental monitoring, and public health analysis. He has contributed to studies on smart city infrastructure, pollution impact assessment, and energy resource forecasting. Research interests span technical innovations in sensor fusion (IMU/UWB/FMCW radar), Bayesian-based navigation algorithms, and environmental health studies using big data. His work integrates IoT and behavioral data to address challenges in urban sustainability, healthcare monitoring, and energy systems. Notable projects include analyzing dockless bike-sharing systems for urban mobility insights, developing contactless health monitoring systems, and evaluating indoor positioning technologies through competitive benchmarks. His research often combines experimental methods with advanced computational models to solve real-world problems in smart cities and environmental science.
Prof. Frans Cornelissen is a Professor in the Faculty of Medical Sciences at the University of Groningen, holding the Chair in Ophthalmology and Visual Neuroscience within the Department of Ophthalmology. He leads the Laboratory for Experimental Ophthalmology and is affiliated with the UMCG (University Medical Center Groningen). His research focuses on restoring vision in visually impaired individuals through advancements in ophthalmic diagnosis, visual rehabilitation, and understanding neurodegenerative diseases like glaucoma. Key methods include eye tracking, neuroimaging (fMRI, MRI), and behavioral studies. Research interests span visual neuroscience, glaucoma mechanisms, neuroplasticity, and applications of virtual reality in vision rehabilitation. Recent work includes studies on visual field defects, prosthetic vision enhancement, and systematic reviews on hemianopia scanning behaviors. Cornelissen holds additional roles as President of the Vereniging voor Biofysica en Biomedische Technologie and chairs the Stichting Uitzicht. Publications emphasize innovative techniques like fMRI micro-probing, pupil perimetry, and continuous visual tracking for early disease detection. His work bridges clinical ophthalmology with computational neuroscience, aiming to translate findings into practical diagnostic and therapeutic tools.
Dr. Steven Houben is an Associate Professor in Human-Data Interaction at Eindhoven University of Technology (TU/e) and the Artificial Intelligence Systems Institute (EAISI). His research focuses on Human-Computer Interaction (HCI) and Human-Data Interaction (HDI), with emphasis on tangible computing, collaborative augmented device ecologies, and physicalizing data for non-expert interaction. He holds a PhD from the IT University of Copenhagen (2015) and a Master's from Hasselt University (2011). His work spans digital health, education, Industry 4.0, and knowledge work, with notable contributions to medical device design, tele-rehabilitation systems, and cross-device collaboration tools. He leads the TREAT (ITEA) project and teaches courses such as 'Data-enabled design' and 'Designing user interfaces with emerging technologies'. Education: PhD in Computer Science (ITU Copenhagen), Master's in Computer Science (Hasselt) External Position: Visiting Faculty at Lancaster University since 2021 Research interests include physical data embodiment, collaborative device ecosystems, and HCI innovations for healthcare and work environments. Key projects explore tangible tools for data literacy (e.g., SensorBricks, DataChest) and telemonitoring solutions for cardiac rehabilitation. Over 22 students have been supervised, with publications addressing data physicalization challenges, wearable device comfort, and contextual telehealth systems. Grants include the TREAT project (2024–2026) focusing on interoperable medical record systems. His work contributes to UN SDGs in health (SDG 3) and education (SDG 4).
Shaunak S. Dabadghao serves as an Assistant Professor at Eindhoven University of Technology (TU/e) within the Operations, Planning, Accounting and Control group of the Industrial Engineering & Innovation Sciences school. He holds a PhD in Industrial Engineering from Purdue University (2014) and brings industry experience from Discover Financial Services in Chicago. His academic credentials include: PhD in Industrial Engineering, Purdue University, 2014 Research spans Operations Research applications in finance (Stochastic Control, Loss Forecasting), Sports Analytics, Revenue Management, Global Sourcing, Consumer Behavior, and Brand Management. His methodology integrates Time Series Analysis and quantitative modeling to solve complex business problems across finance, sports, and supply chains. Publication analysis reveals consistent interdisciplinary application: finance (robust optimization, perpetuity equations), sports (ranking algorithms), and supply chain (global sourcing under tariffs). This demonstrates a trajectory of translating theoretical models into practical decision-support tools for industry. No scientific awards were documented in available materials. He has supervised 69 research works and secured funding for projects including "Evidence Based Disruption Management" (2021-2023) and "Cash Flow harmonization" (2018-2021), reflecting active research leadership and mentorship. As a core member of TU/e's OPAC research group, he contributes to developing quantitative frameworks for operations, planning, accounting, and control in industrial contexts.
Victor Gilsing is a Professor of Strategic Entrepreneurship & Innovation at the Department of Management and Organisation, Vrije Universiteit Amsterdam. He holds a dual appointment at the Amsterdam Business Research Institute. His research focuses on corporate entrepreneurship, top management teams' role in innovation, external collaboration strategies, and digital transformation of established firms. He has published in top journals like Journal of Management and Research Policy, and received a prestigious Odysseus Grant (2015-2022) from Flanders Science Foundation. His awards include multiple Academy of Management Best Paper nominations and teaching accolades, including Best Teacher and Best Course prizes. Ancillary activities include serving as a board member at Dekker Groep. Research Interests: Corporate Innovation, R&D Collaboration, Knowledge Management, Strategic Entrepreneurship, and Technology Strategy. His work bridges organizational behavior and innovation ecosystems, emphasizing how firms adapt collaboration strategies and manage knowledge spillovers. Recent studies explore IP litigation's role in R&D partnerships and the moderating effects of top management teams on innovation outcomes. Grants: Odysseus Grant (2015-2022) for research on Top Managers and Innovation. Awards: AOM Best Paper Award (2004), Teaching Excellence (2006-2013), Research Impact (2012). Advising: Supervised PhD theses on innovation dynamics and strategic alliances.
Maarten de Groot is an Endowed Professor of Resilient Family Business and Enterprise Families at the Vrije Universiteit Amsterdam School of Business and Economics. He serves as Director of the VU Center for Enterprise Family Research (CEFR) and Program Director of the Responsible Ownership for Enterprise Families (ROEF) program. His research focuses on family governance, wealth preservation, and the socio-emotional dynamics of enterprise families. Education: PhD in Management & Organisation from VU School of Business and Economics. Research interests include: Family Social Capital and Identity Intergenerational Wealth Management Family Business Strategy & Governance Philanthropy in Enterprise Families Sustainable Investing Practices Awards: 2023 Knight of the Order of Orange-Nassau 2023 VU Crowds Award 2023 School of Business Impact Award 2022 Eligius Sustainable Investments Award Advisory roles include: Global Enterprise Family Council (Emeritus Member) PF Strategy BV (Owner/Managing Director) JDRF International (Global Mission Board Member) He leads the VU Center for Enterprise Family Research and actively bridges academia with business through initiatives like the ROEF program.
Prof. Martijn van den Assem is a Full Professor of Finance at Vrije Universiteit Amsterdam (VU), specializing in judgment and decision making within financial and behavioral economics. He is affiliated with the Tinbergen Institute as a Research Fellow and serves as an Associate Editor for the Journal of Economic Behavior & Organization . His research uses unconventional data sources like TV game shows, lotteries, and sports to analyze economic behavior. He teaches across BSc, MSc, PhD, and post-experience programs, including courses on Behavioral Finance and Judgment & Decision Making. His awards include a Vidi Grant (2016) for research on 'Game show economics' and teaching accolades such as the MSc Finance Lecturer of the Year (2018). Van den Assem co-founded the biennial Research in Behavioral Finance Conference (RBFC) and has organized multiple editions. His ancillary activities include guest lectures at institutions like Laurea University of Applied Sciences and Antwerp Management School. Key research themes include high-stakes decision making, cooperative behavior in games, and the application of experimental methods to real-world scenarios. His work bridges empirical finance with behavioral insights, often leveraging natural experiments for rigorous analysis.
Steven Verstockt is a Professor at Ghent University’s Department of Electronics and Information Systems, affiliated with the Internet Technology and Data Science Lab (IDLab) and the Multimedia Lab. His research spans multimodal data processing computer vision video analytics geospatial information technology sports data science domains. He leads interdisciplinary projects in sports, media, and cultural heritage, focusing on spatio-temporal data collection, classification, and visualization. Recent research trends highlight his work in CO2-based occupancy detection BIM semantic enrichment multi-camera sports analytics geosocial media mining historical archive digitization hyperspectral image classification published across 2025–2024. His team combines computer vision, machine learning, and geospatial tools for real-world applications.
Dr. Koen van Bommel is an Associate Professor of Organization Theory & Corporate Sustainability at Vrije Universiteit Amsterdam's School of Business and Economics. His research focuses on corporate sustainability, sustainable business models, circular economy, and paradox management, with a particular emphasis on tensions in sustainability reporting and ethical business practices. He holds a PhD from Warwick Business School and has conducted research at Northwestern University's Kellogg School of Management. Education: PhD in Management, Warwick Business School Research affiliation: Kellogg School of Management (Northwestern University) Research Interests: Corporate Social Responsibility (CSR) Circular Economy Strategies Sustainability Reporting and Integrated Reporting Paradox Management in Organizations Organizational Trust and Ethics Social Movements and Cultural Hegemony Teaching: Courses on organization theory, CSR, and management consulting at Bachelor and Master levels Supervision of Bachelor and Master theses Awards: Emerald Literati Award (2018) Best Paper on Environmental and Social Practices (2014) Finalist Best Dissertation Award (2015) Grants and Activities: Recipient of the 'Developing the Management Studies Community' Grant (2018) Keynote speaker on sustainability reporting and paradoxical thinking Labs/Teams: Leading research on circular business models and sustainable organizational practices Collaborations with institutions globally (e.g., KPMG, Kellogg School)
