Kanishkan Vadivel is a Researcher in the Electronic Systems group at Eindhoven University of Technology (TU/e), specializing in energy-efficient hardware architectures and compiler-based code-generation techniques. He holds a Master’s degree in Embedded Systems from TU/e (2017) and a Bachelor’s from Coimbatore Institute of Technology (India). Prior to academia, he worked in embedded systems at Tata Engineering and Arm Ltd. Research Interests : His work focuses on computation-in-memory architectures using resistive devices, optimal code generation for CGRA (Coarse-Grained Reconfigurable Architecture), and high-performance computing. Key projects include the MNEMOSENE initiative and development of the CIM-SIM simulator for computation-in-memory systems. Awards : HiPEAC collaboration grant (2019) Advising & Grants : His research is supported by grants focused on neuromorphic processors and edge-AI hardware. He collaborates on projects like NEUROKIT2E for embedded deep learning systems. Labs/Teams : Active member of TU/e’s Electronic Systems Center and Efficient Stream Processing Lab, contributing to neuromorphic and energy-efficient computing initiatives.
Anna Wieczorek is a Full Professor at Eindhoven University of Technology (TU/e), affiliated with the Department of Industrial Engineering and Innovation Sciences. She serves as the TU/e Sustainability Ambassador and leads major projects like the €10.4M Interreg NWE SmartCORE initiative and the NWO-funded ORAKLE project. Her research focuses on sustainability transitions, socio-technical systems, renewable energy, and community-driven innovation in energy and mobility, with a regional focus on Europe and the Global South. Education background includes a PhD in Innovation Sciences from Utrecht University and extensive work at the Vrije Universiteit Amsterdam’s Institute for Environmental Studies. She co-founded the Sustainability Transitions Research Network (STRN) and established its Global South and Brazilian chapters. Notable awards include the EU Citizens Award for Sustainable Energy Innovation (2020) and multiple teaching excellence awards. Key research areas include community energy systems, virtual power plants, blockchain applications in energy, and governance of low-carbon transitions. She supervises PhD students in sustainability and innovation, and her work bridges academic research with practical implementation through projects like the cVPP, which empowers communities to drive energy transitions. Active in editorial roles (e.g., Urban Transformations journal) and international collaborations, her work emphasizes actionable research for societal impact. Recent projects emphasize scaling community energy initiatives, digitalization’s role in energy justice, and regional governance capacities for sustainable transitions. She also explores mobility systems innovation, including cycling-as-a-service and shared automated mobility.
Boris Škorić is an Associate Professor in the Security of Embedded Systems (SEC) group at the Department of Mathematics and Computer Science, Technische Universiteit Eindhoven. His research focuses on quantum cryptography, security with noisy data, and collusion-resistant watermarking. He is affiliated with the CREST project and has contributed to advancements in quantum-secure authentication and quantum key distribution protocols. Education : Ph.D. in Physics (Quantum Hall Effect), M.Sc. in Physics His research interests span three core areas: (1) Security with noisy data, addressing challenges in cryptographic primitives using physical measurements; (2) Quantum physics for security, including quantum readout of Physical Unclonable Functions (PUFs) and quantum key recycling; and (3) Collusion-resistant watermarking codes for digital content protection. He has pioneered techniques such as quantum-secure authentication via laser speckle and error correction methods for secure key storage. His publications reflect a strong emphasis on quantum security, including developments in continuous-variable quantum key distribution, entropically secure encryption, and quantum position verification. Recent work explores applications in healthcare data protection and secure communication over turbulent optical channels. Grants & Labs : Active in the CREST project (Collusion-Resistant Embedding and Secure Tracing) and collaborates with industry on quantum-secure technologies. Leads research in the SEC group, mentoring projects on cryptographic protocols and embedded system security.
Rink Hoekstra is an Assistant Professor at the University of Groningen's Faculty of Behavioural and Social Sciences, specializing in Research and Evaluation of Educational Effectiveness. With an active research profile spanning statistical methodology, psychological science, and educational research, Dr. Hoekstra contributes significantly to contemporary debates in research methodology and scientific practice. Dr. Hoekstra's research interests center on Bayesian statistics, replication studies, and methodological rigor in psychological research. Their work addresses critical issues in the 'crisis of confidence' in scientific research, with particular focus on intellectual humility in science, statistical analysis practices, and the application of Bayesian methods in psychological research. Their fingerprint reveals strong expertise in Bayes Factor (100%), Attention Deficit Hyperactivity Disorder (88%), Psychological Research (48%), and Crisis of Confidence (44%). Analysis of Dr. Hoekstra's recent publications shows a consistent focus on improving research practices in psychology and education. Their work bridges theoretical statistical concepts with practical applications, particularly in Bayesian statistics, research validity, and the science-practice gap. The publications demonstrate a commitment to methodological transparency, data sharing practices, and evidence-based approaches in both research and educational contexts. Fellowship for the Innovation of Teaching (2018) Dr. Hoekstra has been actively involved in teaching innovation, particularly in statistics education, as evidenced by their work on Bayesian statistics instruction for undergraduate psychology students. Their research collaborations span multiple international institutions, reflecting a strong network in methodological research. The publications and activities indicate substantial grant funding supporting their work on research methodology and educational effectiveness. Dr. Hoekstra's work contributes to the UN Sustainable Development Goals, particularly those related to quality education and reduced inequalities. Their research on educational effectiveness and evidence-based practices directly supports efforts to improve educational outcomes and research integrity globally.
Özlem Altinkaya-Genel is an Assistant Professor of Design of Healthy and Accessible Cities at the University of Groningen's Faculty of Spatial Sciences. She holds a PhD from Harvard University and has prior research experience at TU Delft and teaching roles at Özyeğin University and Hanze Hogeschool. Her work focuses on sustainable urban transformation, regional urbanization, and public real estate. Education: Bachelor of Architecture, Mimar Sinan Fine Arts University M. Arch., Istanbul Bilgi University (2008) PhD, Harvard University Graduate School of Design (2012-2016) Research Interests: Sustainable urban development, healthy cities, public real estate management, and regional urbanization dynamics. She explores how spatial planning can enhance accessibility and sustainability in urban environments, with a focus on evidence-based approaches for future challenges like climate adaptation and campus resilience. Professional Experience: Post-doctoral Researcher, TU Delft Faculty of Architecture (2016-2018) Assistant Professor, Özyeğin University Adjunct Roles at Hanze Hogeschool Labs/Teams: Engaged in interdisciplinary teams addressing urban resilience, campus planning, and regional development through collaborative research projects.
Sascha Hoogendoorn-Lanser is a Researcher at Delft University of Technology's Faculty of Civil Engineering and Geosciences, specializing in Traffic Systems Engineering. Her work focuses on mobility futures, urban travel behavior, and data-driven analysis of transportation systems. She has contributed to high-impact projects like the Mobility Futures 2050 scenarios for the Netherlands, analyzing how societal needs and technological advancements will shape future transportation systems. Her research integrates proximity data, surveys, and machine learning to study topics such as ride-hailing service potential, bicycle delay estimation, and compliance behavior during the COVID-19 pandemic. She co-authored a 2025 book on Dutch mobility futures and published widely in journals like Transportation Research Procedia and Travel Behaviour and Society . Hoogendoorn-Lanser collaborates on datasets exploring on-demand mobility services, tradeable mobility credits, and digital inequality in transport. She actively participates in workshops and policy discussions, such as the 2024 Ministry of Infrastructure workshop on mobility futures. Her work bridges academic research with practical policy implications for sustainable and equitable transportation systems.
Prof. B. van Arem is a Professor in the Department of Transport, Mobility and Logistics at Delft University of Technology. He has held an external position since 2003 in the Thematic Collaboration Smart Public Transport Lab. His research focuses on automated vehicles, traffic control systems, and sustainable urban mobility. He has contributed to over 475 publications and leads projects like CriticalMaaS and STAD, addressing mobility-as-a-service and automated driving impacts. Key research areas include intelligent transportation systems, urban transportation planning, and safety in automated driving. His work integrates machine learning and simulation frameworks to address challenges in traffic management and electrification of public transport. Received the Greenshields Prize 2012 and Best Student Paper Runner-up Award (IEEE ITSC 2023). Active in media engagements, discussing topics like zero-emission zones and future urban planning. Supervised 31 students and contributed to 10 datasets, including code for automated driving and lane detection systems. Prof. van Arem collaborates internationally and participates in initiatives like XCARRCITY, focusing on mobility hubs and automated mobility solutions.
E. Emir Demirović is affiliated with the Department of Algorithmics at the Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology. His research focuses on dynamic programming, constraint programming, and optimization techniques applied to artificial intelligence and machine learning systems. He leads the project "Towards a Unification of AI-Based Solving Paradigms for Combinatorial Optimisation" (2022–2026), exploring AI methods for logistics and combinatorial problems. Collaborations include work on decision trees, proof systems, and constrained path optimization. Key research interests include policy synthesis for black-box systems, optimal classification trees for continuous data, and verification frameworks for constraint solvers. His work bridges theoretical algorithm design with practical applications in healthcare analytics and mobility systems, as highlighted in a 2025 media feature on AI in transportation. Demirović has contributed datasets for optimal decision tree methods and variable initialization techniques for lazy clause generation solvers. His research emphasizes interpretable AI solutions and rigorous validation through proof logging frameworks.
Prof. Mariska Kret is a full professor of Cognitive Psychology at Leiden University's Faculty of Social and Behavioural Sciences. She leads the Comparative Psychology and Affective Neuroscience (CoPAN) lab, focusing on emotions in humans and great apes. Her research integrates methods like fMRI, eye-tracking, and virtual reality to study mimicry, trust, and cooperation. Key projects include ERC-funded work on emotional mimicry's role in trust and a VIDI grant examining implications for autism/social anxiety. She supervises numerous PhD students and postdocs, with over 30 active researchers in her lab. Awards include the Ig-Nobel Prize (2022) and ERC grants. Her lab also explores artistic perception in apes and 'Tinder for orangutans' to study mate selection. Education: PhD in Cognitive Neuroscience (Tilburg University, 2011), postdoc at Kyoto University (Japan), and extensive grant-funded projects since 2014. Research spans emotions in clinical populations (e.g., social anxiety, autism) and evolutionary comparisons with primates. CoPAN collaborates globally, including with Apenheul Zoo and Twente University. Open science initiatives include preregistered studies and data sharing on Dataverse.nl. Lab Members: 20+ PhD students/postdocs (e.g., Ruya Akdag, Anouschka van Dijk) Key Grants: ERC Starting (2018), NWO VIDI (2022), Templeton Foundation (2017) Media Engagement: Featured in New York Post, NRC Handelsblad, and science podcasts Her work bridges psychology, neuroscience, and evolutionary biology, emphasizing cross-species comparisons and clinical applications. Ongoing projects include VR-based emotion training tools (ERC Proof of Concept) and investigations into physiological synchrony in social interactions.
Annelieke Damen is a researcher specializing in chaplaincy studies, with a focus on palliative care, spiritual well-being, and healthcare ethics. Her work explores the role of humanist chaplaincy in secular and pluralistic societies, emphasizing evidence-based practice and outcome measurement. She has led projects such as Zinvol netwerken (2024–2027) and contributed to the PLOEG initiative (2019–2022), addressing spiritual care in primary palliative settings. Her research spans qualitative studies on chaplaincy goals, caregiver perspectives, and moral education for military personnel. Damen has developed assessment tools like the Dutch Chaplaincy Outcome Measure and validated instruments for spiritual well-being in cancer patients. She actively engages in interdisciplinary collaboration, presenting at conferences and publishing in journals like Journal of Pastoral Care & Counselling and Tijdschrift Geestelijke Verzorging . Damen's recent work highlights the integration of chaplaincy into healthcare systems, emphasizing meaningful care for patients and families facing terminal illness. Her projects often involve partnerships with clinicians, policymakers, and spiritual care professionals to bridge theoretical and practical gaps in end-of-life care.
Roland J. Ortt is Associate Professor of Innovation Management and Entrepreneurship at Delft University of Technology, Faculty of Technology, Policy and Management. He is affiliated with the Department of Values, Technology and Innovation, Section of Economics of Technology and Innovation. He also serves as director of Interfaculty Education in TPM and research dean of the European NiTiM network. Additionally, he holds a part-time position as extraordinary professor at Erasmus University Rotterdam in the LDE minor Smart and Shared Cities. University: Delft University of Technology Faculty: Technology, Policy and Management Department: Values, Technology and Innovation Section: Economics of Technology and Innovation Role: Associate Professor, Interfaculty Education Director, Research Dean (NiTiM) Roland Ortt’s research focuses on the development, commercialization, and diffusion of radically new high-tech products and systems. His work explores the time from invention to mass adoption, the influencing actors and factors, and strategic commercialization methods. He emphasizes responsible innovation and the impact of standards and regulations. His teaching includes courses such as Innovation Management (MOT2421), Entrepreneurship (MOT9610), Technology Battles (MOT9591), and Patent Law and Policy (WM0787). He has also taught in the MSc SET and Industrial Ecology programs. The recent publications reflect a consistent trend in technology innovation, entrepreneurship, and strategic management. Topics include breakthrough technologies, spin-off creation, standardization, and responsible innovation. The research spans both theoretical frameworks and empirical studies, often with a focus on policy and organizational implications. Scientific recognition includes: Four best paper awards Guest editor for Journal of Manufacturing Technology Management (2016–2017), Technological Forecasting and Social Change (2007), International Journal of Technology Management (2006) Board member of ICE/IEEE MOT network Research Dean of the European NiTiM network Roland Ortt has organized major academic events such as the 2011 Euromot in Finland and the 2013 IEEE & ICE Conference in The Hague. He has been involved in multiple guest lectures and collaborative teaching initiatives. His grants and projects, while not explicitly listed, are implied through participation in EU-level networks and editorial roles. He supervises numerous thesis and lab-based student projects, including the Business Development Lab and Health Business Development Lab. He is active in academic leadership through the NiTiM network and interfaculty education, and contributes to broader innovation ecosystems via collaborations with the Centre for Innovation in The Hague and valorization initiatives.
Durk van der Zee is a researcher affiliated with the University of Groningen, holding dual appointments in the Faculty of Medical Sciences / UMCG (Value, Affordability and Sustainability group) and the Faculty of Economics and Business (Operations Management & Operations Research department). His work bridges healthcare operations management and industrial engineering through simulation-based methodologies. Research Interests : Simulation modeling for complex systems, operations management in healthcare, supply chain optimization, and serious gaming applications. Key Collaborations : Active in international research networks with focus areas in the Netherlands and United Kingdom. Publications : His recent work focuses on stroke care optimization (2020), simulation model simplification (2019), and supply chain frameworks (2005). The articles demonstrate cross-disciplinary applications of simulation to improve decision-making in both healthcare and manufacturing contexts. Academic Activities : Organizer of the 2021 Operations Research Society Simulation Workshop, chair of simulation education panels (2018), and presenter at conferences like APMS (2017) and Winter Simulation Conference (2017-2018). He has contributed extensively to simulation-based education approaches.
Peter Frans de Jong is a Researcher at the OT Team Fruit-Bomen within Wageningen University & Research , focusing on robotic solutions for fruit production. His work spans Agricultural Sciences , Robotics , and Plant Pathology , with recent projects like The Next Fruit 4.0 advancing data-driven orchard management and robotic harvesting technologies. Active in unmanned aerial vehicle (UAV) applications for flowering intensity monitoring. Developed deep learning algorithms for robotic grasping in pear harvesting. Contributed to Neonectria ditissima detection in apple branches. His research integrates precision agriculture with computer vision , addressing challenges in sustainable fruit cultivation. Collaborative efforts include partnerships with institutions like Open University and LVVN projects. Scientific Awards: No explicit awards listed in the provided data.
Elise Quant is a lecturer at the Eindhoven School of Education, affiliated with Eindhoven University of Technology. Her work focuses on interdisciplinary STEM teaching, curriculum development, and innovative educational practices such as Onderzoek & Ontwerpen and Nature, Life and Technology . She bridges educational theory with practical implementation in both secondary and higher education. Research Interests : Design-based pedagogy, challenge-based learning, critical thinking in STEM, and teacher-led curriculum innovation. Publications : Recent works highlight the integration of technology in teacher education, supervision frameworks for design-based research, and cross-national case studies on pedagogical innovation. Teaching : Coordinates courses in Educational Design Research and STEM teacher training, emphasizing hands-on design challenges.
Mazyar Seraj serves as an Assistant Professor in the Software Engineering and Technology department within the Mathematics and Computer Science school at Eindhoven University of Technology (TU/e). His academic foundation includes a Doctorate in Software, Algorithms, and Control Systems from the University of Bremen (2020), a Master's in User Interfaces and Multimedia from Multimedia University (2012), and a Bachelor's in Software, Algorithms, and Control Systems from Islamic Azad University (2009). His research centers on Educational Technology and Human-Computer Interaction , with specific focus areas including block-based programming for young learners, mobile learning applications for logic circuits, computational notebook visualization, and domain knowledge integration in software development. His work consistently bridges theoretical computer science with practical educational implementations, particularly examining gender dynamics and accessibility in programming education. Analysis of his 14 recent publications reveals a strong emphasis on contextual learning environments (smart homes, living labs), gender-inclusive programming tools , and mobile-first educational interfaces . His research methodology frequently combines prototype development with empirical validation through user studies involving students and educators. Seraj actively contributes to academic instruction through courses including Programming, Programming and Modelling, DBL App Development, and CBL Autonomous Systems. His research has been featured in media coverage regarding AI applications in classroom settings, specifically addressing queue efficiency through improved question formulation.
