جست‌وجوی استاد و پژوهشگر

• Software Engineering
• Machine Learning
• Software Architecture
• +۴ مورد دیگر

Cagatay Catal is a Lecturer at the Information Technology Department of Wageningen University & Research in the Netherlands. Previously, he served as Associate Professor at Istanbul Kultur University's Department of Computer Engineering (2012–2017), including three years as Department Head (2014–2017). Prior to academia, he worked for 8 years at TÜBİTAK's Information Technologies Institute as Senior Researcher & Project Manager (2002–2012), contributing to large-scale software systems. He holds a BSc/MSc from Istanbul Technical University and a PhD from Yildiz Technical University, all in Computer Engineering. His research focuses on machine learning applications in software engineering, software quality assurance, testing methodologies, and architecture design. He actively reviews for funding bodies like the European Union's EUROSTARS program, Canada's Research Council, and Turkey's Research Council. Catal leads projects such as INREF Smart-In-Ag (SMART farming in Indonesia), VIRAL (ICT in agricultural education), and malware detection in software systems. His work bridges academic research with practical software development challenges in diverse sectors like healthcare and education.

• Computational Social Science
• Artificial Intelligence
• Robotics
• +۵ مورد دیگر

Dr. Yara Khaluf is an Assistant Professor in the Information Technology Group at Wageningen University & Research, Department of Social Sciences. She holds a PhD (2014, Paderborn University, cum laude) on robot swarm task allocation, followed by postdoctoral research at Paderborn University (2014–2015) and Ghent University’s IDLab (2015–2021). Her work focuses on computational social science, hybrid human-agent societies, and distributed artificial cognition, leveraging agent-based modeling and systems dynamics for behavior prediction/modulation. She leads European-funded projects like ChronoPilot (EU Horizon2020 FET) and DELICIOS (FWO, 2019–2022). Her research explores interactions between artificial agents and humans, developing cognitive capacities for seamless interaction via social feedback networks. Notable contributions include collective foraging algorithms, time perception modeling, and agent-based simulations for public health interventions. Awards include competitive IGS and DFG fellowships. She collaborates with leading experts in swarm intelligence (Dorigo, Stuetzle), collective decision-making (Hamann, Marshall), and experimental psychology (Johansson, Vatakis). Current projects investigate modulating human time perception and delegation of conflict-of-interest decisions to AI agents. Teaching includes courses on model thinking, agent-based modeling of complex systems, and data science applications in food/consumer science. Her work bridges computational methods with societal challenges, emphasizing scalable solutions for hybrid systems.

Antonis Papapantoleonمشاهده پروفایل

استاد

• Mathematical Finance
• Stochastic Processes
• Lévy Processes
• +۵ مورد دیگر

Antonis Papapantoleon is a Professor of Mathematical Finance at the Delft Institute of Applied Mathematics (DIAM), part of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at TU Delft. He is also affiliated with the Delft FinTech Lab and serves as an Affiliated Researcher at the Institute of Applied and Computational Mathematics (IACM), FORTH. Previously, he held roles including Assistant Professor at the National Technical University of Athens (NTUA), Juniorprofessor at TU Berlin (2011–2017), and Deputy Professor at the University of Mannheim (2016–2017). His research focuses on stochastic systems, Lévy processes in finance, term structure/LIBOR modeling, systemic risk management, model-free methods, and applications of machine learning in finance. Key contributions include advancements in affine LIBOR models, systemic risk analysis, and copula-based risk allocation. His work has been published in top journals like Annals of Applied Probability , Mathematical Finance , and Finance and Stochastics . His research has been supported by the Hellenic Foundation for Research and Innovation (HFRI), Europlace Institute of Finance, DAAD, MATHEON, and private corporations. He has delivered invited talks globally and co-edited Advanced Modelling in Mathematical Finance (Springer, 2016). Current affiliations include leadership in the Delft FinTech Lab and active participation in international collaborations. His work bridges theoretical stochastic analysis with practical financial applications, emphasizing robust frameworks for risk measurement and derivatives pricing.

Noela Müllerمشاهده پروفایل

استادیار

• Probability Theory
• Random Matrices
• Sparse Matrices
• +۵ مورد دیگر

Noela Müller is an Assistant Professor in the Mathematics and Computer Science school at Eindhoven University of Technology . Her research focuses on Probability Theory , Random Matrices , and Random Graphs , with significant contributions to understanding the rank of sparse matrices and clique factors in probabilistic settings. Research Outputs : Published 22 works including journal articles and preprints. Collaborations : Active in international networks, particularly in sparse matrix analysis and probabilistic combinatorics. Her recent work explores sparse pooled data algorithms , random 2-SAT models , and sharp thresholds in random graphs , showcasing interdisciplinary applications in computer science, mathematics, and theoretical physics.

• Energy Systems
• Agent-Based Modeling
• Decision Making
• +۳ مورد دیگر

Dr. Paulien Herder is a Professor at Delft University of Technology (TU Delft) specializing in energy systems, agent-based modeling, and decision-making frameworks. Her work bridges engineering and social sciences through computational simulations. Key research areas: Energy Systems, Values in Engineering, Machine Learning Research Trends: Recent publications focus on agent-based modeling for public health responses (e.g., COVID-19 value dynamics ), machine learning integration in simulations, and community energy system optimization. Her work emphasizes societal impact through interdisciplinary collaborations. Scientific Recognition: Fellow of the Netherlands Academy of Engineering (2023) Academic Contributions: Key publications include critical reviews on community energy initiatives and frameworks for integrating indirect costs in energy planning. Her research output spans over 223 works with significant citations in energy and computational modeling domains.

Afra Alishahiمشاهده پروفایل

استاد

• Computational Linguistics
• Language Acquisition
• Neural Models of Language
• +۵ مورد دیگر

Afra Alishahi is a Full Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence within the Tilburg School of Humanities and Digital Sciences. Her research focuses on computational models of human language acquisition and grounded language learning, leveraging neural models to explore how language processing and acquisition occur. She has held roles including Assistant Professor at Tilburg University (since 2011) and Postdoctoral Fellow at Saarland University (2008-2011). Her work bridges computational linguistics, cognitive science, and artificial intelligence, with contributions to understanding language learning mechanisms through models that integrate visual, auditory, and linguistic data. Education: PhD (university unspecified), with prior academic roles in Iran and Germany. Awards: CoNLL 2017 Best Paper Award, 2023 Outstanding Paper Award, NWO Aspasia Grant (2015), and NWO Natural Artificial Intelligence Grant (2015). Her research has been supported by grants such as the Dutch National Research Agenda-funded project on interpreting deep learning models for text and sound. Research Interests: Grounded language learning, interaction effects in language acquisition, and neural model interpretability. Key areas include multi-modal learning (e.g., linking speech to visual scenes), computational modeling of child language learning, and probing neural networks for linguistic knowledge. She co-organized workshops like BlackboxNLP (2018-2020) and has authored over 60 publications, including influential works on phonology encoding in neural models and gender disambiguation in machine translation. Teaching: Courses include Cognitive Models of Language Learning , Computational Linguistics , and Language, Cognition & Computation . She advises master's theses and leads projects in data science and AI. Lab/Team: Leads research on computational modeling, collaboration with interdisciplinary teams (e.g., with Grzegorz Chrupała, Afsaneh Fazly), and involvement in initiatives like the Interpreting Deep Learning Models for Text and Sound project.

Gonzalo Nápolesمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Cognitive Science
• +۵ مورد دیگر

Gonzalo Nápoles is an Assistant Professor at Tilburg University's School of Humanities and Digital Sciences, Department of Cognitive Science and AI. He holds a Doctoral Degree in Computer Science from Rough Cognitive Networks (2014–2017). His research focuses on AI applications in cognitive modeling, pattern classification, and neural networks with interdisciplinary applications in healthcare, finance, and social sciences. Key research areas include Fuzzy Cognitive Maps, data augmentation techniques for neuroimaging, and interpretable machine learning systems. He actively contributes to UN Sustainable Development Goals related to education and innovation. Recent work explores AI ethics, financial risk assessment using dynamic networks, and sensory processing disorder analysis through neural networks. Education: Doctoral Degree in Computer Science, 2017 (Thesis: Rough Cognitive Networks) Prize-winning research includes Best Paper Awards at CIARP 2021 and IWAIPR 2023. He collaborates internationally, hosting academic visitors and serving on multiple PhD committees. Current projects involve stock prediction using graph neural networks and fMRI data augmentation methodologies. Awards: Best Paper Award - CIARP 2021 Best Paper Award - IWAIPR 2023 Nápoles advises on PhD theses in cognitive science and AI applications. His work bridges theoretical advancements with practical implementations in healthcare, finance, and urban systems.

Edwin H.F. van Asseldonkمشاهده پروفایل

دانشیار

• Biomechatronics
• Rehabilitation Technology
• Robotics
• +۷ مورد دیگر

Edwin H.F. van Asseldonk is an Associate Professor at the TechMed Centre , University of Twente. His work bridges Biomechatronics and Rehabilitation Technology , focusing on integrating robotics and artificial intelligence to enhance mobility and autonomy in neurological patients. Key Research Areas: Exoskeleton development, motion control algorithms, gait analysis, neuromuscular modeling, and AI applications in rehabilitation. Recent Article Trends: Research emphasizes AI-driven exoskeletons for gait stability, biofeedback systems, and open data initiatives in biomechanics. Scientific Awards Best Paper Award at BioRob 2024 Best Poster at Dutch Biomedical Engineering Conference (2017) Best Student Paper Finalist (2018) Labs & Collaborations: Active in the TechMed Centre and 4TU.ResearchData, with international collaborations in Spain and beyond. Regular invited speaker on exoskeletons and rehabilitation robotics.

Didier Meuwlyمشاهده پروفایل

استاد

• Forensic Science
• Biometrics
• Probabilistic Evaluation
• +۳ مورد دیگر

Didier Meuwly is a Full Professor of Forensic Biometrics at the University of Twente (since 2013) and Principal Scientist at the Netherlands Forensic Institute (NFI). His work focuses on automating and validating probabilistic evaluation of forensic evidence, particularly biometric traces. He has contributed to international standards via ISO Technical Committee 272 and served as Associate Editor for Forensic Science International . PhD in Forensic Speaker Recognition (University of Lausanne, 2000) Research spans forensic biometrics, likelihood ratios, AI validation, and gait/body analysis from surveillance footage. Recent work addresses ISO standards (21043), forensic AI explainability, and multimodal evidence evaluation. His publications emphasize empirical validation and statistical rigor. Key awards include: ENFSI Distinguished Forensic Scientist Award (2022) University of Lausanne Law Faculty Prize (2002) Active in global forensic networks, he chairs the ENFSI R&D Committee and collaborates across disciplines on digital evidence, biometric security, and forensic methodology.

Aaqib Saeedمشاهده پروفایل

استادیار

• Human-Centric AI
• Federated Learning
• Self-Supervised Learning
• +۳ مورد دیگر

Aaqib Saeed is an Assistant Professor in the Department of Industrial Design at Eindhoven University of Technology. His research focuses on Human-Centric AI, Federated Learning, Self-Supervised Learning, and Audio Understanding, with applications in Personal Health. He holds a PhD (cum laude) from TU/e and an MSc (cum laude) from the University of Twente. Education: PhD in Computer Science (cum laude), TU/e (2021) MSc in Computer Science (cum laude), University of Twente (2018) Research Interests: Development of robust federated learning frameworks for decentralized data Self-supervised learning for audio and physiological signal analysis AI-driven solutions for healthcare monitoring Key Contributions: DeltaMask: Reducing communication overhead in federated fine-tuning FedNS: Mitigating noisy decentralized data in federated learning Labeling Chaos to Learning Harmony: Handling label noise in FL Professional Experience: Visiting Industrial Fellow, University of Cambridge (2023) Research Scientist, Philips Research (2019–2023) Research Internships: Google Research, TNO/EIT Digital Awards: UT Scholarship (MSc) Cum Laude awards for both PhD and MSc Labs/Teams: EAISI Health, EAISI Foundational, Computational Design Systems.

• Social Networks
• Ethnic Relations
• Gender and Sexuality
• +۳ مورد دیگر

Eva Jaspers is Professor of Empirical and Theoretical Sociology at Utrecht University's Faculty of Social and Behavioural Sciences, where she also serves as Bachelor Director for Sociology. She is a member of the Interuniversity Center for Social Science Theory and Methodology (ICS) and leads the ICS Research Line on Migration and Social Stratification. Her educational background includes a PhD in Sociology (2008) and an MA in Sociology cum laude (2003), both from Radboud University Nijmegen, where she also obtained her University Basic Teaching Qualification in 2007. Professor Jaspers' research focuses at the intersection of networks, diversity and inequality, examining how people's contexts, interactions and relations with (dis)similar others shape their behavior and outcomes across various domains. Her work spans social networks, ethnic relations, gender and sexuality, discrimination, and gender equality, utilizing social network analysis as a key methodology. She has published in top journals including American Sociological Review , European Sociological Review , and Social Networks . Analysis of her recent publications reveals a strong focus on intergroup relations, social networks, and inequality, with particular emphasis on interethnic contact, gender dynamics in workplaces and families, and the impact of social norms on polarization. Her work increasingly employs computational methods and longitudinal data to examine complex social dynamics. Fellow of the Gravitation Program SCOOP (research and training center for sustainable cooperation) Professor Jaspers has managed multiple large-scale data collections and secured significant funding from NWO and Volkswagen Stiftung. She leads international projects including INCLUSIVITY (network interventions to counter polarization) and GENPARENT (research on transition to parenthood for same-sex couples). She is also a co-applicant in the prestigious NWO Summit Grant SOCION for research on social cohesion. Her academic leadership includes chairing the Dutch Sociological Association and organizing major conferences like the INSNA Sunbelt Conference. She is affiliated with several research initiatives including the Institutions for Open Societies (IOS) program, focusing on Future of Work, Gender Diversity and Global Justice, and Migration and Societal Change. Her work with the CILS NL data and SOCON panels demonstrates her commitment to longitudinal research on social networks and societal change.

Monika Kufferمشاهده پروفایل

استاد

• Urban Remote Sensing
• Urban Planning
• Deprived Areas
• +۶ مورد دیگر

Monika Kuffer is a Full Professor at the University of Twente's Faculty of Geo-Information Science and Earth Observation (ITC), holding additional roles as Associate Professor in the Department of Urban and Regional Planning and Geo-Information Management. She leads research in urban remote sensing, deprived area monitoring, and sustainable urban development. Her work integrates spatial statistics, machine learning, and citizen science to inform inclusive city planning. Education: PhD in Human Geography & GIS from the University of Twente MSc in Human Geography (TU Munich) MSc in Geographic Information Science (University of London) Research Interests: Urban Remote Sensing Slum and Deprivation Mapping Climate Adaptation Strategies Citizen Science for Urban Inequalities Earth Observation Policy Support Articles Trends: Recent work emphasizes multi-city climate adaptation analyses, thermal inequality assessments in African slums, and scalable deprivation modelling frameworks like IDEAMAPS. Projects like ONEKANA and NightWatch highlight fusion of EO data with community-driven methods. Awards: 2022 EO4all Prize for innovative Earth Observation applications Advising & Grants: Supervised 3 PhD/MSc projects. Active in global initiatives like the EU's Knowledge Centre on EO and the UN's SDG frameworks. Leads datasets on deprivation (e.g., IDeAMapSudan). Labs/Teams: Core member of ITC's Urban Remote Sensing and GeoAI teams. Collaborates with the Digital Society Institute for interdisciplinary urban research.

Jaap Zevenbergenمشاهده پروفایل

استاد

• Land Administration
• Geo-Information Management
• Property Rights
• +۵ مورد دیگر

Jaap Zevenbergen is a Full Professor at the University of Twente's Faculty of ITC, specializing in Land Administration and Geo-Information Management. He holds a PhD from Delft University of Technology (2002) and degrees in Geodetic Engineering (Delft) and Law (Leiden University). His research focuses on international land governance, digital transformation of property institutions, and pro-poor land tools, with projects in Africa, Southeast Asia, and Eastern Europe. He has contributed to UN Habitat initiatives and World Bank programs, emphasizing sustainable development goals (SDGs 1, 11, 13). Key roles: Theme leader at TU Delft's OTB Institute (2003–2010), Portfolio Manager for MSc Land Administration at ITC. Teaching: MSc programs in Land Administration, GIMA, and International Land Management. Research interests include: Land Administration Domain Model (LADM) implementation, legal-technical integration in geo-ICT systems, and post-disaster/post-conflict land governance. He has authored/co-authored over 340 publications and edited books like Real Property Transactions . Notable achievement: Co-winner of the 2018 FIG-Survey Review Prize for land policy analysis. Current projects explore 3D cadastral systems, UAV applications in land registration, and ethical geospatial practices. He advises on land reforms in Greece and Egypt and collaborates with institutions like UN Habitat and the World Bank.

• Marketing
• Consumer Behavior
• Privacy Issues
• +۵ مورد دیگر

Dr. Joris Demmers is an Associate Professor and Head of the Marketing Department at the Faculty of Economics and Business , University of Amsterdam. His research focuses on consumer behavior, privacy in digital environments, environmental sustainability in marketing strategies, and the intersection of technology with consumer engagement. He leads academic initiatives in marketing while exploring interdisciplinary topics like corporate greenwashing detection and data governance. Key Research Themes: Consumer preferences for eco-labels and corporate social responsibility Privacy risks vs. behavioral incentives in financial and social media contexts Visual content analysis and machine learning applications in marketing Data-sharing dynamics and ethical marketing practices Recent Trends in Publications: Recent work emphasizes greenwashing detection (e.g., GreenScreen dataset), psychological drivers of financial self-disclosure, and the role of digital tools in customer journeys. Earlier studies delve into consumer data-sharing motivations and ethical privacy frameworks. Awards and Activities: No awards explicitly mentioned. Active in teaching and ancillary academic activities related to marketing strategy and digital media. Lab/Team Affiliations: No specific labs or teams listed, but collaborates across disciplines, including molecular biology studies on aging mechanisms (possibly through interdisciplinary projects).

Bas Donkersمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing Research
• Choice Modeling
• +۴ مورد دیگر

Bas Donkers is a full Professor of Marketing Research at the Department of Business Economics within Erasmus School of Economics (ESE), Erasmus University Rotterdam. Affiliated with ERIM (Erasmus Research Institute of Management) since 2000, he holds a prominent position in the field of consumer behavior and marketing analytics. His research examines consumer decision-making from a behavioral perspective, building on advanced market research and machine learning techniques to generate groundbreaking insights. His research interests center on consumer behavior , choice modeling , and marketing analytics , with significant contributions to healthcare decision-making and financial investment contexts. Donkers has published extensively in leading journals including Journal of Marketing Research, Marketing Science, and Journal of the Academy of Marketing Science. His recent work demonstrates a clear trajectory toward integrating machine learning with traditional choice modeling, particularly in healthcare applications (35% of recent publications) and digital consumer behavior (25%), with growing emphasis on AI-driven decision support systems. ERIM Top Article Junior Award (2017) ERIM postdoc fellowship (2002) Donkers has supervised 13 PhD candidates to completion, serving as promotor or co-promotor on diverse topics spanning retirement planning, charitable giving, healthcare choice modeling, and digital marketing analytics. His research has been supported through ERIM frameworks and collaborative projects with healthcare institutions. He actively coordinates academic events including the Invitational Choice Symposium and regularly presents at specialized research seminars. As a core member of ERIM's Marketing Group, Donkers contributes to the institute's research infrastructure focused on behavioral decision modeling and choice experimentation. His work bridges theoretical marketing research with practical applications in healthcare policy and financial services, maintaining strong connections with industry partners through ERIM's business engagement initiatives.