Miguel Mujica Mota is a Senior Lecturer at the Faculty of Technology, National Autonomous University of Mexico (UNAM), and a member of the Centre of Applied Research Technology. His research focuses on airport operations, multimodal transport systems, and simulation modeling. He has expertise in analyzing capacity challenges in multi-airport systems, particularly in Mexico City, and developing decision support systems for airport security and resource allocation. His work integrates sustainability and efficiency, addressing topics like environmental reporting in airlines and post-pandemic airport recovery strategies. Research Contributions: Dr. Mujica Mota has published extensively on airport capacity optimization, multimodal transport integration, and simulation-based methodologies. Key projects include the X-TEAM D2D initiative for door-to-door travel and the IMHOTEP project for smart passenger flow management. His work often involves collaboration with institutions like Schiphol Airport and the H2020 EU framework. Research Interests: Airport terminal design, air traffic management, simulation modeling, multimodal logistics, and sustainable aviation. Awards: A-BOOST Research Fund (2020) Beste paper award EMM2018 X-TEAM D2D Project Recognition (2020) Activities: Organized conferences like the 2023 EUROSIM Simulation Seminar and served on committees for events such as the 2024 Multilog Conference. Grants & Projects: Involved in EU-funded initiatives like H2020, focusing on multimodal integration and sustainable transport solutions. His research also explores climate change impacts on infrastructure and simulation-based validation approaches.
Konrad Kollnig is an Assistant Professor at Maastricht University’s Faculty of Law, specializing in the intersection of law and technology. He leads the RegTech4AI project, which combines legal and technical methods to address challenges in the AI and digital platforms sector. His academic background includes a PhD and MSc from the University of Oxford and a BSc from RWTH Aachen, with his PhD thesis winning the prestigious Stefano Rodotà Award 2024. Research focuses on market power analysis in digital platforms, ethical AI governance, and privacy-preserving technologies. He developed the TrackerControl app (200,000+ downloads) to expose app tracking practices. His work has influenced EU, OECD, US FTC, and other regulatory bodies, and been featured in Forbes, Wired, and New Scientist. Key achievements include winning the United Nations Privacy Competition 2022 and the Best Student Privacy Paper Award 2022. He holds a five-year RegTech4AI project grant (€2.1M) funding six researchers. Talks and collaborations span institutions like Georgetown University, CNIL, and the Council of Europe. His interdisciplinary approach bridges computer science, law, and policy to address systemic risks in digital ecosystems.
Professor Vedran Dunjko is a faculty member at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, with affiliations to the Leiden Institute of Physics (LION). He leads the Applied Quantum Algorithms group and co-founded the Quantum@LIACS initiative, focusing on the intersection of quantum computing, machine learning, and artificial intelligence. His research interests include quantum machine learning, quantum-enhanced reinforcement learning, quantum heuristics, and the application of AI to quantum computing challenges. Dunjko's work bridges theoretical foundations with experimental implementations on near-term quantum devices, exploring both quantum advantages in learning and the use of classical AI for quantum system design. The recent publications show a strong trend toward proving quantum advantages in learning tasks, optimization, and topological data analysis, with publications in Nature , Nature Communications , and NeurIPS . Key themes include quantum policy gradients, quantum TDA, and reinforcement learning for quantum circuit optimization. ERC Consolidator Grant (2024) PNAS Cozzarelli Prize (2018) Editor’s Suggestion in Physical Review Letters (2014, 2018) Featured in Physics (American Physical Society) (2014, 2018) Dunjko advises several PhD candidates and postdocs, including Rahul Bandyopadhyay, Sofiene Jerbi, and Lea Trenkwalder. He has received competitive grants, most notably the ERC Consolidator Grant in 2024. His group fosters international collaborations with institutions across Europe and industry partners. The Applied Quantum Algorithms group and the Quantum@LIACS team combine theoretical investigations with practical implementations on quantum hardware, focusing on scalable quantum algorithms and AI-driven quantum discovery.
Iryna Susha serves as an Assistant Professor in the Innovation Studies group within the Copernicus Institute of Sustainable Development at Utrecht University's Faculty of Geosciences. Her academic journey includes obtaining a PhD from Orebro University in Sweden, establishing her expertise in digital governance and data collaboration frameworks. Dr. Susha's research focuses on how organizations across different sectors can collaborate and leverage data to address 21st century societal challenges while contributing to sustainability goals. Her work spans digital government, open data initiatives, and data collaboratives for public good, with particular attention to cross-sector partnerships, data governance models, and the practical implementation challenges of data sharing initiatives. She has developed significant expertise in analyzing how data ecosystems can be structured to support societal benefits while navigating complex regulatory and organizational landscapes. Her publication record shows a clear evolution from early work on e-participation and open government data toward more sophisticated frameworks for data collaboratives and digital innovation for sustainability. The research demonstrates consistent engagement with practical implementation challenges while maintaining strong theoretical grounding in governance and organizational theory. Prizes & Grants (1) Dr. Susha actively supervises PhD candidates, currently guiding Dwayne Ansah's research on data donations for social good and Olafur Thorarensen's work on algorithmic decision systems in healthcare. She leads the "Digital Innovation" course where students develop critical understanding of digital innovations' societal and economic impacts. Additionally, she co-leads the Special Interest Group on Digitalization & AI for Sustainability (DAISY), which serves as a hub for interdisciplinary research on sustainable digital transformation. Her research connects with several major projects including the DATA ALLY project and Data Purchasing project, demonstrating practical applications of her theoretical work in real-world contexts. The DAISY group she co-leads provides an important forum for advancing research on sustainable digital innovation across disciplinary boundaries.
Antonia Krefeld-Schwalb is an Assistant Professor at the Department of Marketing Management, Rotterdam School of Management, Erasmus University. With a background in cognitive science and management, her research bridges computational modeling, eye-tracking, and consumer decision-making to address sustainability challenges. Current Affiliation: Assistant Professor, Rotterdam School of Management Research Focus: Sustainable consumer behavior, decision-making processes, and methodological improvements Key Collaborations: Columbia University, University of Geneva, Erasmus Sustainability Program Her cognitive science training informs methodological approaches like mouse/eye tracking and computational modeling applied to marketing problems. She investigates structural parameter interdependencies, external validity threats in surveys, and climate risk communication effectiveness. Recent research trends include climate adaptation strategies, sustainable behavior interventions, and meta-scientific analyses of statistical practices in consumer research. She advocates for heterogeneous population sampling and preregistration to enhance validity. Scientific Honors: Veni Grant (NWO) She develops targeted sustainability interventions through collaborations like the Erasmus Sustainability Program. Her work appears in journals such as PNAS, Journal of Marketing Research, and Psychological Review.
Matthias Schlottbom is an Associate Professor specializing in Mathematics of Computational Science, with a focus on numerical methods and their applications in physics, biology, and engineering. His research integrates advanced computational techniques with interdisciplinary problems, including radiative transfer, photonic crystals, and chemotaxis modeling. Research Interests: Schlottbom’s work spans numerical analysis, finite element methods, and machine learning. He develops high-order discretization schemes, iterative solvers for anisotropic transport, and mathematical frameworks for biological network formation. Publications: Recent articles highlight his contributions to accelerating radiative transfer simulations, extending component mode synthesis for Helmholtz equations, and analyzing diffusion limits in kinetic models. His work often bridges computational mathematics with practical applications in photonics and multiscale systems. Collaborations: He actively collaborates on datasets for optical simulations, radiative transfer algorithms, and photonic crystal modeling, contributing to open-access repositories like 4TU.Centre and Zenodo. Activities: Schlottbom has organized workshops such as the Kinetic Theory Workshop in the Netherlands and delivered keynotes on residual minimization and data-driven methods for transport equations. Scientific Awards: No specific awards or fellowships are mentioned in the provided materials. Advising & Grants: Details about students, advising roles, or grant funding are not included in the available data.
Nathan van de Wouw is a Full Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e), affiliated with ICMS, EAISI Mobility, EAISI High Tech Systems, EAISI Foundational, and EIRES. He also holds an adjunct Full Professor position at the University of Minnesota and a part-time Full Professorship at Delft University of Technology. His research focuses on dynamics and control of mechanical systems, including mechatronics, robotics, smart manufacturing, energy systems, and networked control. He has supervised over 150 students and led numerous projects funded by industry partners like ASML, Philips, and Shell. Education: M.Sc. (with Honors) in Mechanical Engineering, TU/e (1994) Ph.D. in Mechanical Engineering, TU/e (1999) Research Interests: Nonlinear systems and control Model reduction and complexity analysis Data-driven and networked control strategies Applications in high-tech systems, autonomous vehicles, and energy systems Awards: IEEE Control Systems Technology Award (2015) for variable-gain control in motion systems Grants & Projects: Lead projects on mechatronic design, lithography systems, and thermodynamic optimization Collaborations with TNO, ASML, and industrial partners Labs & Teams: Member of TU/e’s Dynamics and Control group Affiliated with EAISI (Eindhoven AI Systems Institute)
Dr. Farhad Merchant is an Assistant Professor of Innovative Computer Architecture at the Bernoulli Institute, University of Groningen, since July 2024. Previously, he served as a Lecturer (Assistant Professor) at Newcastle University (2022–2024) and held research roles at Bosch Research, NTU, and RWTH Aachen University. His research focuses on emerging technology-based computing and hardware-oriented security, including neuromorphic architectures, in-memory computing, and secure hardware design. Education: PhD in Electronics Engineering from the Indian Institute of Science, Bangalore, with a DAAD-funded visit to RWTH Aachen University. He also holds industry experience from Bosch Research. Research Interests : - Hardware Security - Neuromorphic Computing - Algorithm-Architecture Co-design - Reconfigurable Computing - Computer Arithmetic Projects : - Coordinator for the REACT project (2025–2029): Focuses on self-aware neuromorphic architectures. - Principal Investigator for Privacy-Preserving Computer Architectures (CogniGron, 2025–2029). - Completed BioNanoLock project (DFG-funded, focusing on bio-nanoelectronic security). Awards : - Best Paper Awards at ISQED 2022, NEWCAS 2023, and VLSI-DAT 2024. - Minerva Fellowship (Technion, Israel), HiPEAC Technology Transfer Award (2019). He co-founded the SeHAS workshop (since 2019) and serves on editorial and program committees for major conferences like DAC, ISLPED, and VLSI-SoC.
Dongsheng Yang is an Assistant Professor with the Electrical Energy Systems Group at the Department of Electrical Engineering of Eindhoven University of Technology (TU/e). He has been working at TU/e since 2019, focusing on power electronics and renewable energy integration, and previously served as Assistant Professor at Aalborg University's Department of Energy Technology (2018-2019). Dr. Yang received his B.S., M.S., and Ph.D. degrees in electrical engineering from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2008, 2011, and 2016, respectively. His academic journey progressed from postdoctoral researcher at Aalborg University (2016) to faculty positions at both institutions. Dr. Yang's research focuses on the modeling, analysis, control, and design of power electronics dominated power systems , with the goal of safely accommodating high-penetrations of renewable energy sources and energy-efficient end-uses. His work spans several critical areas in modern power systems: Power electronics dominated grid stability and control Renewable energy integration and grid synchronization EV fast-charging infrastructure development Hydrogen production systems Medium-frequency transformer design and modeling AI applications in power electronics Analysis of Dr. Yang's recent publications reveals a strategic research trajectory toward developing advanced control strategies for power converters, improving modeling techniques through AI approaches, and addressing practical implementation challenges for renewable energy systems. His work spans both theoretical developments and practical applications, with increasing emphasis on neural network frameworks for magnetic modeling, safety boundaries for EV charging architectures, and enhanced fault ride-through capabilities for grid-connected systems. This progression demonstrates his commitment to solving real-world engineering challenges in the transition to renewable energy. Dr. Yang has received professional recognition including: Senior Member of IEEE Corresponding Member of CIGRE Working Group C4.56 Topic chair, technical committee member, and reviewer for top-level conferences and journals in power electronics Dr. Yang actively supervises doctoral candidates and postdoctoral researchers, including Xiao Yang (working on AI for power electronics), Saizhao Yang (postdoc), and L.A. Vlaar. He serves as project manager for multiple significant research initiatives totaling over €5 million in funding: REDCON (2023-2028) - Reconfigurable power electronics testbench Flexible Offshore Wind Hydrogen Power Plant Module (2022-2026) Sectorplan-DCES-Y.D.inv.: Reconfigurable power electronics testbench (2021-2029) E2GO-RDC Cost-reduction of EV fast-charging station (2021-2026) CW620863 System impact analysis for large scale renewable hydrogen production (2022-2023) Dr. Yang leads research within the Electrical Energy Systems group at TU/e's High Tech Systems Center, focusing on power conversion technologies. His work connects with multiple research teams across Europe through collaborative projects focused on renewable energy integration, EV infrastructure, and hydrogen production systems. He also teaches the course 'Dynamic control of power conversion in renewable energy systems' and contributes to the UN Sustainable Development Goals related to affordable and clean energy.
Maurice Heemels is a Full Professor at Eindhoven University of Technology (TU/e), leading the Control Systems Technology group. He holds additional professorships in EAISI Mobility, EAISI Foundational, EAISI Health, and EAISI High Tech Systems. His research focuses on hybrid and networked systems, emphasizing resource-aware control, event-triggered strategies, and cyber-physical systems integration. He is an IEEE Fellow and chairs the IFAC Technical Committee on Networked Systems. Academic Background: MSc and PhD in Mathematics (TU/e, 1995 and 1999, both summa cum laude ) Visiting Professorships: ETH Zurich (2001), UC Santa Barbara (2008) Industry Experience: Research & Development at Océ NV Research Interests: Hybrid Systems, Networked Control, Event-Triggered Control Model Predictive Control (MPC) in healthcare and high-tech systems Cyber-Physical Systems for applications like lithography and precision agriculture Key Contributions: Developed Hybrid Integrator-Gain (HIGS) systems and Projection-Based Control methodologies Recipient of a VICI Grant for wireless control systems research Oversaw over €7M in research funding from NWO, EU, and industry Awards & Recognition: Automatica Outstanding Service Award (2014) Best Paper Awards (EBCCSP 2017, etc.) Invited Keynote Speaker at ECC, CDC, and others Grants & Projects: Current Projects: COMEDI (Cost-effective Mechatronics), PROACTHIS (Projection-based Control) Past Projects: Fault Detection in Wafer Scanners, Drone-based Farming Labs & Teams: Active in TU/e’s Cyber-Physical Systems and Systems Engineering research groups, collaborating globally on nonsmooth dynamics and hybrid systems.
Prof. Sofía Calero is a Full Professor at the Eindhoven University of Technology (TU/e) and Vice Dean of the Department of Applied Physics & Eindhoven School of Education. She leads the Materials Simulation & Modelling group, focusing on computational methods for renewable energy and nanostructured materials. MSc (1995) and PhD (2000), University Complutense of Madrid Marie Curie Fellow (2001–2003), University of Amsterdam Ramón y Cajal Fellow (2004) and Full Professor (2017) at University Pablo de Olavide (Spain) Her research bridges computational physics-chemistry and industrial applications, developing force fields, algorithms, and simulation methods to reverse-engineer material properties. She specializes in adsorption , metal-organic frameworks , zeolites , and molecular simulation , contributing to SDGs like climate action and clean energy. Recent publications focus on halide perovskites , carbon dioxide capture , and nanostructured materials , with software tools like RASPA and iRASPA as key outputs. Articles span Nano Letters , Chem , and Journal of Physical Chemistry C . ERC Proof of Concept Grant (2018) Marie Curie Excellence Award (2005) Fellow of the Royal Society of Chemistry (2024) She has supervised 36 research works and taught courses like Advanced Materials Modelling and Mechanics . Her work involves collaborations with industries and institutions across Europe.
Dr. Halefom Abraha is an Assistant Professor at the International and European Law (IER) Department of Utrecht University's School of Law. He specializes in Digital Human Rights, focusing on privacy, data protection, AI regulation, and algorithmic management in labor markets. His research addresses cross-border data access for law enforcement and digital sovereignty. Abraha holds a joint PhD from the University of Malta and Edith Cowan University (Australia) for his thesis on 'Cross-Border Data Access for Law Enforcement Purposes,' which earned the 2021 Dean's Award for Academic Excellence. He completed postdoctoral research at the Bonavero Institute of Human Rights, University of Oxford (2021-2024), and has advised the European Parliament’s LIBE Committee. His expertise spans EU and international law, with notable fellowships including Marie Sklodowska-Curie ITN (2017-2020) and AFRINIC (2017). Abraha is affiliated with the Netherlands Institute of Human Rights (SIM) and RENFORCE, focusing on governance challenges in the digital society. His research areas include the Future of Work under digital transformation, Security in Open Societies, and Contesting Governance paradigms. Key publications address workplace data protection frameworks, algorithmic management regulation, and cross-border data governance. Abraha advocates for contextualized legal solutions balancing innovation with human rights protections.
Laura Maruster is an Assistant Professor at the Faculty of Economics and Business, University of Groningen, Netherlands. She holds an MSc from the West University of Timisoara, Romania, and a PhD in Technology Management from Eindhoven University of Technology, Netherlands. Her research focuses on process mining, process modelling, and healthcare networks, with applications in operations research and data science. She collaborates extensively with industry and public sector partners on projects like the Casimir initiative (RuG and Gasunie). Teaching areas include business processes, data mining, and research methodology. Recent work includes studies on healthcare logistics optimization and process mining beyond traditional workflows. Her publications appear in leading journals such as BMJ Open , IEEE Transactions on Engineering Management , and Computers in Industry . Research interests span healthcare networks, emergency medical services analytics, and enterprise process optimization. Notable recent contributions include analyzing interhospital patient transfers and redesigning engineering design processes using data-driven methods.
Prof. Jacco van Ossenbruggen is a Full Professor in Intelligent Information Systems at Vrije Universiteit Amsterdam (VU), affiliated with the Network Institute. He serves on the Management Board of ODISSEI, a national research infrastructure for social sciences and economics. His academic background includes a PhD in Computer Science (2001) from VU’s Faculty of Science, focusing on hypermedia processing. Research Interests: His work centers on cultural AI, FAIR data principles, ontology engineering, and semantic web technologies. Key areas include inclusive cultural heritage metadata, bias mitigation in AI systems, and knowledge discovery via linked data. Recent projects involve leveraging large language models (LLMs) for metadata enrichment and ontology construction. Key Contributions: He leads initiatives like the Cultural AI Lab, exploring AI applications for cultural heritage. His research bridges technical innovations (e.g., semantic integration of restricted-access data) with societal impacts (e.g., ethical AI frameworks for public-sector applications). Developed frameworks for evaluating entity alignment in knowledge graphs Pioneered FAIR-aligned data management plans for scientific communities Designed tools like Alter Heritage for collaborative metadata curation Grants & Projects: Principal Investigator of the ODISSEI Portal project (2020–2024), advancing open data infrastructures. Active in funding initiatives promoting reproducible research and ethical data practices. Labs/Teams: Cultural AI Lab at VU, focusing on AI-driven solutions for cultural heritage preservation and accessibility.
Matthijs L. Noordzij is a Full Professor in the department of Psychology, Health & Technology. His research focuses on wearable technology, mental health interventions, and compassionate design principles. He has contributed to over 90 publications, emphasizing the intersection of psychophysiology and healthcare innovation. Recent work explores stress management through wearable devices and ethical considerations in digital mental health tools. Research interests: Wearables, stress measurement, compassionate technology, sensor-based healthcare. Key activities include organizing conferences and delivering invited talks on topics like 'Compassionate Technology or Stress Trigger?'. Notable contributions: Developed the Compassionate Technology Scale and published on accelerometer-based stress research. Media engagements include expert commentary on smartwatch applications and data privacy in wearable tech.
