Professor Sander Nieuwenhuis (Leiden University) specializes in Cognitive Neuroscience of Decision Making through behavioral, EEG, and pharmacological approaches. His work bridges prefrontal cortex function and noradrenergic system mechanisms in human cognition. Studied cognitive psychology (Groningen) and earned PhD (Amsterdam, 2001) International experience: Cambridge University (visiting research), Princeton University (postdoc) Research focuses on noradrenaline's role in attention, decision-making, and cognitive control via: Locus coeruleus-norepinephrine system dynamics Phasic vs. tonic alertness effects Cognitive task performance under neuromodulator deficiency Neuroprotective pathways in Alzheimer's models Recent publications analyze DBH deficiency (Jepma et al., 2011) and attentional blink mechanisms (Nieuwenhuis et al., 2005). His Temporal Attention Lab integrates fMRI, genetics, and computational modeling . Teaching leadership includes: Chair of Research Master Program Committee Coordinator of Scientific Writing courses
Maricela De la Torre Castro is a Professor of Natural Resource Management at Stockholm University , affiliated with the Department of Physical Geography . Her research focuses on coastal and ocean governance through a social-ecological systems lens, emphasizing gender dynamics , seagrass conservation , and climate change adaptation in tropical coastal communities. BSc in Oceanology (Universidad Autonoma de Baja California) MSc, PhD, and Docent in Natural Resource Management (Stockholm University) Her work examines seagrass ecosystem services , small-scale fisheries governance , and gendered impacts of marine protected areas . Recent studies analyze: 2025: Habitat loss risks from seaweed cultivation 2024: Gender-poverty dynamics in Zanzibar MPAs 2022: Adaptive capacity differences between genders 2021: Blue Justice frameworks for fisheries governance Active projects include SEAgender (Swedish Research Council) analyzing gendered effects of MPAs . She supervises PhD candidates in tropical marine systems and has extensive experience with EU Erasmus programs and UNDP collaborations . Research emphasizes hybrid methods , cultural value mapping , and interdisciplinary monitoring of coastal initiatives.
Dr. Ben Harvey is an Associate Professor (with Ius Promovendi) in the Perception Group of the Department of Experimental Psychology at Utrecht University, Netherlands, within the Faculty of Social and Behavioural Sciences. He is based at the Helmholtz Institute and can be contacted at b.m.harvey@uu.nl. Harvey completed his DPhil at Oxford University with Professor Oliver Braddick in 2009, followed by postdoctoral work with Professor Serge Dumoulin at Utrecht. In 2015, he moved to Coimbra on a starter grant from the Portuguese Foundation for Science and Technology before returning to Utrecht in 2016 as an Assistant Professor. He was promoted to Associate Professor in 2019 and has led his own research group since 2015. Harvey's research focuses on characterizing sensory and cognitive systems in the human brain, particularly neural responses and computations within these systems. His work combines cutting-edge neuroimaging approaches with computational modeling and behavioral experiments. Initially studying the early visual system as a model of neural processing, he extended invasive animal neurophysiological approaches to non-invasive human neuroimaging. His recent work investigates neural responses underlying cognition in the human association cortex, examining how visual space and number processing differs between cultures and in clinical disorders. His fingerprint reveals expertise in Functional Magnetic Resonance Imaging, Numerosity, Receptive Field, Visual Cortex, Population Receptive Field, Nerve Potential, Early Visual Cortex, and Topographic Maps. His publication record demonstrates significant impact, with works like 'Topographic representation of numerosity in the human parietal cortex' (2013) receiving over 360 citations. His research spans visual neuroscience, with emphasis on how the brain processes visual information, attention mechanisms, and numerical cognition, revealing generalized quantity processing systems in the human brain. Award for highest-rated abstract (2013) Brain Centre Rudolph Magnus Research Award (Best Paper of the Year) (2014) Causal link between cortical organization and conscious perception: human fMRI and electrophysiology (2009, 2010) Harvey has been actively engaged in knowledge dissemination, with multiple invited talks at institutions including INSERM in Paris (2016) and the University of Parma (2015). His research has received significant media attention, with interviews on National Public Radio (NPR) USA, Livescience.com, and Science Magazine in 2013. Beyond academic publications, he writes popular science articles exploring the relationship between visual neuroscience and visual arts. As part of the Helmholtz Institute Experimental Psychology research program, Harvey collaborates widely to investigate visual space and number processing across different populations, contributing to our understanding of how these cognitive functions vary between cultures and in clinical disorders.
Kede Ma is an Associate Professor in the Department of Computer Science at City University of Hong Kong (CityUHK). He received his B.E. from the University of Science and Technology of China (USTC) in 2012, and MASc and Ph.D. degrees from the University of Waterloo in 2014 and 2017, respectively. From 2018 to 2019, he was a Research Associate with the Howard Hughes Medical Institute and New York University. Prof. Ma has been named to the Highly Cited Researchers list by Clarivate Analytics in 2024 and currently serves on the editorial boards of IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security, and IEEE Signal Processing Letters. Prof. Ma leads the Multimedia Analytics (MA) Laboratory, an interdisciplinary research group focused on computational vision, computational modeling of human visual perception, perceptual multimedia signal processing, quality assessment, and multimedia forensics. His research spans computational photography, high dynamic range imaging and rendering, omnidirectional video analysis, camera processing pipeline design, and artificial intelligence safety in multimedia systems. His work integrates machine learning techniques including reinforcement learning, generative modeling, self-supervised learning, and continual learning for multimedia signal processing applications. His recent publications demonstrate a strong focus on image quality assessment, deep learning for multimedia processing, and multimedia forensics. His work bridges theoretical computer vision principles with practical applications in multimedia systems. The research trends show increasing integration of foundation models with specialized multimedia processing tasks, particularly in quality assessment and security applications. Highly Cited Researchers list by Clarivate Analytics (2024) Best Paper Award at IEEE International Conference on Virtual Reality and Visualization (2021) Best Paper Runner-Up at International Joint Conference on Artificial Intelligence Workshop (2021) Top 10% Award at IEEE International Conference on Image Processing (2015) Finalist for the Governor General's Gold Medal, University of Waterloo (2017) Spotlight presentation at NeurIPS (2022) Highlight paper at ICCV (2025) Oral presentation at ICLR (2025) Prof. Ma advises numerous PhD students and postdoctoral fellows in the MA Laboratory. His research is supported by various grants enabling work in multimedia analytics, image processing, and computer vision. The laboratory maintains active collaborations with researchers at institutions including SUSTech, ZJU, and HIT. Current projects focus on advancing image quality assessment methodologies, developing more robust deep learning techniques for multimedia forensics, and exploring new approaches to HDR imaging and omnidirectional video processing. The Multimedia Analytics Laboratory maintains a strong focus on both theoretical foundations and practical applications of multimedia processing. Current research directions include integrating large language models with image quality assessment, developing more robust deepfake detection methods, and advancing techniques for continual learning in multimedia applications. The lab emphasizes rigorous evaluation methodologies and maintains multiple datasets for multimedia quality assessment research.
David Blakesley is Professor of Rhetorics, Communication, and Information Design and Campbell Chair in Technical Communication at Clemson University's College of Arts and Humanities, Department of Interdisciplinary Studies. He currently serves as President of the Faculty Senate for 2023-2024. His academic career spans over three decades with significant contributions to rhetorical theory, digital publishing, and technical communication. Blakesley earned his PhD in Rhetoric, Linguistics, and Literature from the University of Southern California (1990), an MA in English from San Diego State University (1986), and a BA in English from the same institution (1983). His research spans multiple interconnected fields including rhetorical theory, history of rhetoric, digital and visual rhetorics, print and digital publishing, film theory and production, technical communication, and digital humanities. He has focused particularly on Kenneth Burke's rhetorical theory and its applications across various media. His scholarly work demonstrates a consistent trajectory from traditional rhetorical theory toward digital applications and publishing innovations. Over the past decade, his research has increasingly focused on the intersection of digital technologies with rhetorical practices, particularly examining how digital platforms transform scholarly communication and publishing. His 2022 TUGboat article on production versus distribution in publishing exemplifies his ongoing interest in how technological shifts impact academic and professional communication. Fellow, Rhetoric Society of America George Yoos Distinguished Service Award (RSA) Charles Moran Award for Distinguished Contributions to the Field of Computers and Composition Blakesley has secured significant funding including the $11 million Clemson-Adobe Partnership for Campus-Wide Creative Cloud implementation. He serves as Editor of KB Journal, Co-Editor of WAC Journal, and General Editor of The Writing Instructor. His editorial work has been instrumental in shaping scholarly communication in rhetoric and composition studies, particularly through his leadership in digital publishing initiatives.
Anthony TUNG Kum Hoe is a Professor in the Department of Computer Science at the National University of Singapore (NUS), where he has established himself as a leading researcher in database systems and data mining. He is also affiliated with the NUS Graduate School for Integrative Sciences and Engineering and serves as a SINGA supervisor. His educational background includes a Ph.D. in Computer Science from Simon Fraser University (2001), an M.Sc. in Information Systems & Computer Science from NUS (1998), and a B.Sc. with 2nd Class Upper Honours in Information Systems & Computer Science from NUS (1997). Professor Tung's research spans several interconnected areas within database systems and data mining. His primary focus is on developing efficient methods for indexing and searching complex data structures including time series, trajectories, trees, graphs, and high-dimensional objects. He has pioneered work in visual query processing, keyword search, and ranking systems. His GENIE (Generic Inverted Index) and LAMP (semi-Lazy Mining Paradigm) projects represent significant contributions to big data analytics, particularly in handling the 'variety' aspect of big data by providing unified frameworks for processing diverse data structures while preserving semantic meaning. His research bridges theoretical database concepts with practical applications in visual data mining, collaborative analytics, and just-in-time model construction. His recent publications reveal a clear evolution from traditional database research toward more complex analytics on diverse data types. While maintaining his core expertise in database indexing and query processing, his work has expanded to incorporate machine learning techniques, particularly in areas like nearest neighbor search, anomaly detection, and predictive analytics. There's a noticeable trend toward interdisciplinary applications, with publications spanning computer vision, natural language processing, transportation systems, and social computing. His research group consistently publishes in top-tier venues including SIGMOD, VLDB, ICDE, and KDD, demonstrating both theoretical rigor and practical relevance. 2005 Best Paper Award for 'Indexing DNA Sequences Using q-grams' 2007 Invited panel speaker on 'Advice for a successful database researcher career in Asia' at SIGMOD 2010 Guest Lecturer for VLDB Database School 2012 VLDB 2012 Research PC Co-chairs 2015 10 Years Best Paper Award, DASFAA 2015 Invited to SIGMOD 2008 and SIGKDD 2008 Program Committees Professor Tung has supervised numerous PhD students and research associates throughout his career, including notable researchers like Zhang Zhenjie (recipient of the 2007 President Graduate Fellowship) and Wang Nan (published in SIGMOD'08). His research group has been consistently productive, with students publishing in top conferences including SIGMOD, ICDE, and VLDB. His professional service is extensive, having served as PC Chair for COMAD'06, Research PC Co-chair for VLDB 2012, and on program committees for virtually all major database and data mining conferences over the past two decades. His research has been supported by various grants that have enabled significant contributions to database technology. His GENIE and LAMP projects represent a cohesive research direction focused on developing systematic approaches to big data analytics. GENIE provides a unified platform for storage and retrieval of big data with various structures, while LAMP introduces a novel paradigm for predictive analytics that combines the strengths of lazy and eager learning approaches. These projects have evolved to incorporate GPU acceleration and parallel processing capabilities, reflecting his commitment to addressing real-world scalability challenges in data-intensive applications.
Ross Koppel is an Adjunct Professor of Sociology with expertise in healthcare information technology, medication errors, and ethics in social research. His work explores the intersection of technology and societal impacts, focusing on data governance, clinical workflows, and human factors in health IT systems. Research Interests Context-sensitive understanding of medication errors Societal implications of clinical data sharing Ethical challenges in AI and informatics Healthcare cost analysis Scientific Awards Fellow of the American College of Medical Informatics (FACMI)
Vincent Bonin is a Senior Lecturer in the Department of Biology at KU Leuven's Faculty of Sciences. He is affiliated with the VIB-KU Leuven Center for Neuro Electronics Research Flanders (NERF) and the KU Leuven Brain Institute (LBI). His research focuses on neural circuits and visual neuroscience, with an emphasis on cortical and subcortical mechanisms of perception and plasticity. Research Interests: Vincent investigates visual coding, cortical connectivity, and brain circuit dynamics. His work spans topics like: Role of non-hierarchical visual pathways in perception Dendritic processing in the superior colliculus Cell type-specific connectivity in layer 2/3 visual cortex Astrocyte-mediated cortical plasticity Development of high-resolution intracortical visual prosthetics Recent Projects: • The contributions of non-hierarchical visual pathways to visual coding and perceptual behavior (2025-2028) • An investigation into cell type-specific connectivity rules in visual cortex (2024-2027) • Short- and long-term circuit mechanisms of motor rehabilitation after spinal cord injury (2024-2027)
Professor Seda Kundak at Istanbul Technical University's Faculty of Architecture is a leading expert in Disaster Risk Management , Urban Resilience , and Multi-hazard Impact Chains . She has served as Program Head, Deputy Head of Department, and Commission President at Istanbul Technical University's Urban and Regional Planning Department since 2010. PhD in Urban Planning (Istanbul Technical University) Research focus: Seismic Risk, Climate Change Adaptation, Disaster Logistics Her scientific work includes 21 research outputs (Scopus h-index: 94) analyzing earthquake scenarios, compound disasters, and systemic risk assessment. Recent articles explore Impact Chains frameworks and Istanbul's seismic risk dynamics. Awards : SRA Fellow (2022) SRA/Sigma Xi Distinguished Lecturer (2017) She leads the PARATUS Project (€2,064,375 budget) developing open-source tools for multi-hazard risk assessment and has completed 5 major research projects on disaster logistics since 2005.
Simon J. A. Mason is a Senior Researcher and Head of the Mediation Support Team at the Center for Security Studies (CSS) at ETH Zurich. He has been working with the Mediation Support Project (MSP), a joint initiative between CSS and swisspeace supported by the Swiss Federal Department of Foreign Affairs (FDFA), since 2005. Additionally, he has been involved in the Culture and Religion in Mediation project (CARIM), also supported by the Swiss FDFA, since 2011. Mason is a member of the UN and OSCE mediation rosters and serves as a senior advisor in the Master of Advanced Studies ETH Mediation in Peace Processes program. Mason holds a doctorate in environmental science from ETH Zurich and is a trained mediator accredited by the Swiss Mediation Association SDM. His educational background combines scientific training with practical mediation expertise, allowing him to bridge technical and diplomatic aspects of conflict resolution. Mason's research focuses on the application of mediation in complex peace processes, with particular attention to contexts where religious and cultural factors significantly influence conflicts. His work explores how mediation can effectively address security arrangements and navigate the complex relationship between environmental factors, natural resources, and conflict dynamics. Through extensive field experience in regions including Afghanistan, Egypt, Ethiopia, Indonesia, Israel, Kenya, Libya, North Korea, Palestine, Sudan, and Zimbabwe, Mason has developed practical insights that inform his academic contributions to the field of peace mediation. Mason has been actively involved in designing and delivering specialized training programs, including co-organizing the Peace Mediation Course for the FDFA and serving as a trainer in the annual UN Ceasefire Mediation Course and the Religion and Mediation Course. His practical experience spans conflict contexts worldwide, where he has facilitated workshops on conflict analysis, dialogue, negotiation, and mediation for diverse stakeholders including UN, OSCE, IGAD, and EU institutions. As head of the Mediation Support Team at CSS, Mason leads a group dedicated to advancing the theory and practice of peace mediation. The team produces research, develops practical tools for mediators, and provides direct support to mediation processes worldwide. Under Mason's leadership, the team has established itself as a leading center for mediation expertise, particularly in the areas of ceasefire negotiation, religious dimensions of conflict, and the intersection of environmental factors with peace processes.
Stefan Gössling is a Professor and Research Coordinator specializing in sustainable tourism and climate change research with dual appointments at Lund University and Kalmar University. He currently serves as Research Coordinator at the Research Centre for Sustainable Tourism, affiliated with Vestforsk (Western Norway Research Institute), where he has been employed since 2007. Gössling earned his BSc in biology and MSc in geography from Westfälische Wilhelms-Universität, Münster, followed by a doctoral degree in Human Ecology from Lund University in 2001. After completing a postdoc at Freiburg University (2002-2003), he became Associate Professor at Lund University in 2005 and was promoted to full Professor in Human Ecology in 2008. He also holds a Professorship in Tourism Research at Kalmar University since 2009. His research focuses on tourism and climate change , sustainable tourism development , mobility studies , and low-carbon tourism systems . His fieldwork spans the Western Indian Ocean region (Mauritius, Seychelles, Zanzibar, Madagascar, Sri Lanka) and Jordan, with significant contributions to understanding tourism's environmental impacts, particularly in aviation and transport systems. Analysis of his recent publications reveals a strong trajectory toward policy-relevant research on carbon management in tourism, with increasing focus on net-zero aviation, economic leakage in digital platforms, and climate risk modeling for tourism destinations. His work bridges academic research with practical policy applications across multiple European contexts. Contributing author of IPCC AR4 Gössling has led numerous significant research projects including TourRisk (modeling climate risk for Norwegian tourism), ECOVET (effects of COVID-19 on cruise tourism in Western Norway), NTRANS (Norwegian Centre for Energy Transition Strategies), and sustainable cruise research examining social, environmental and economic effects. His influential books include Tourism and Global Environmental Change (2006), Sustainable Tourism Futures (2009), and Climate Change and Aviation (2009).
Mathias Benedek is an Associate Professor at the Institute of Psychology, Faculty of Natural Sciences, University of Graz, Austria. He directs the Creative Cognition Lab and is actively involved in several research networks, including the "Complexity of Life" profile area, the "Brain and Behavior" research network, and the "FUTURE EDUCATION" research network at the University of Graz. His research focuses on the cognitive and neural mechanisms underlying creative thinking, with particular emphasis on the role of memory processes, metacognition, and eye movement patterns during creative ideation. Dr. Benedek's work bridges psychological theory with empirical research methods including eye tracking, neuroimaging, and computational modeling of creative processes. His research has important implications for understanding how creative potential develops and how it can be assessed and nurtured in educational and professional contexts. Dr. Benedek's publication record demonstrates a consistent focus on creative cognition across multiple dimensions. His recent work has expanded into emerging areas such as human-AI collaboration for creative tasks, automated assessment of creativity using large language models, and the relationship between physical activity and creative performance. His research shows a strong trajectory toward more ecologically valid methods for studying creativity in real-world contexts, moving beyond traditional laboratory paradigms. Seraphine Puchleitner Anerkennungspreis (PhD Supervision Award), University of Graz, 2021 William-Stern-Preis, German Psychological Society, 2019 Research Prize, University of Graz, 2017 Research Prize (Publication Category), Initiative Gehirnforschung, 2016 Berlyne Award, Division 10, American Psychological Association, 2015 Dr. Benedek has demonstrated strong commitment to mentoring the next generation of researchers, as evidenced by his 2021 PhD Supervision Award. His research has been supported by multiple grants from national and international funding bodies, though specific grant details are not provided in the available information. His professional service includes leadership roles in the Initiative Gehirnforschung Steiermark since 2010 and active membership in several psychological societies across Europe and North America. Dr. Benedek leads the Creative Cognition Lab at the University of Graz, which employs a multidisciplinary approach to studying creative processes. The lab integrates methods from cognitive psychology, neuroscience, and computational modeling to investigate the mechanisms underlying creative thought. Current research projects examine the relationship between eye movements and internal cognitive processes, the development of automated assessment tools for creativity, and the application of creativity research to educational contexts.
Bryce Westlake is an Associate Professor in the Department of Justice Studies within the College of Social Sciences at San Jose State University. He is a leading researcher in digital forensics and child sexual abuse material detection, with significant contributions to both forensic science education and alternative sexuality studies. Education: Ph.D. in Criminology from Simon Fraser University (2015) Master's degree in Criminology from Simon Fraser University Bachelor of Arts degree in Psychology and Sociology (double major) from University of British Columbia Dr. Westlake's research spans two primary areas with significant societal impact. In digital forensics, he focuses on developing automated tools to detect, collect, analyze, and match child sexual abuse material disseminated online. His work involves international collaboration with researchers, law enforcement agencies, and government partnerships to create more effective detection systems. In his secondary research area, he explores alternative sexuality, particularly BDSM communities, conducting multi-phasic, kink-positive studies examining health and safety within these communities. His research aims to destigmatize participation through a deeper understanding of the social and emotional enrichment practitioners receive from activities. His recent publications demonstrate a clear trend toward increasingly sophisticated technical approaches to combating child sexual exploitation while simultaneously advancing understanding of alternative sexual practices. The technical publications focus on biometric identification, file structure analysis, and ethical web scraping methods, while his BDSM-related work emphasizes community safety, education pathways, and mental health benefits. This dual focus positions him uniquely at the intersection of technology, law enforcement, and human sexuality research. Scientific Awards: The Storytellers Award (Social Sciences and Humanities Research Council) - April 2014 Canadian Graduate Scholarship (Social Science and Humanities Research Council) - May 2012 Dr. Westlake has been heavily involved in developing the forensic science program at SJSU, creating six undergraduate courses, revising two graduate courses, and introducing one graduate course. In Fall 2020, he created and implemented a new concentration in digital evidence (computer forensics) for forensic science majors - one of the first in-person digital forensic bachelor of science degrees in the United States meeting FEPAC standards. He has developed and directs the Silicon Valley Digital Forensics Laboratory, which began accepting students for internships in Fall 2024. He was awarded a three-year $497,948 grant from the National Science Foundation in 2023 to study 'Training digital forensics examiners through hands-on education investigating live criminal investigations.' Through the Silicon Valley Digital Forensics Laboratory and partnerships with criminal justice agencies (district attorneys offices, law enforcement agencies, etc.), Dr. Westlake provides students with training and practical experience conducting digital forensic investigations from start (evidence collection) to finish (report writing and testimony). He also co-hosted the first annual Child Sexual Abuse Reduction Research Network workshop in Adelaide Australia in December 2023.
Goran Oreški is an Associate Professor and Head of the Laboratory at the Faculty of Informatics in Pula (University Jurja Dobrile, Croatia), where he has been employed since 2019. He teaches courses on databases, object-oriented programming, data warehousing, and artificial intelligence at both undergraduate and graduate levels. Education: Ph.D. in Informatics (2016), Faculty of Organization and Informatics Industry Experience: 9 years as software architect and programmer in banking sector Research Focus: Artificial Intelligence systems, classical machine learning algorithms, and deep learning architectures. His work bridges theoretical advancements with practical applications in autonomous vehicles, traffic monitoring, and financial risk assessment. Recent Publication Trends: 2023-2025 works emphasize generative AI for synthetic credit data, traffic object segmentation with monocular cameras, and context-aware detection models (YOLO*C). Earlier works focus on genetic algorithms and ensemble learning for imbalanced datasets. Awards: Google RFP Award for autonomous vehicle research Highly Cited Paper (Web of Science, top 1%) Best Paper at CECIIS conference Leadership: Director of FIPU Laboratory since 2022, leading projects like ai.Shuttle (autonomous mini-bus) and CenAI (industry collaboration with Cenosco).
Francesc Xavier Marín Torné serves as an Associate Professor in the Department of Educational Sciences at the Faculty of Psychology, Educational Sciences and Sports, Blanquerna, Universitat Ramon Llull in Barcelona, Spain. His academic profile demonstrates extensive engagement with religious education, particularly Islamic studies within Catalan public schools, and the educational potential of sacred architecture. His research bridges educational theory, religious studies, and architectural analysis, with a distinctive focus on the Sagrada Familia basilica as a paradigmatic educational space. His primary research interests include: Religious education in pluralistic societies, with particular emphasis on Islamic education in Catalan public schools The pedagogical potential of sacred architecture and worship spaces as educational environments Intercultural and interreligious dialogue in educational contexts Educational approaches to social inclusion and coexistence with Maghrebi students The psychological dimensions of religious education and misinformation Peace education through religious understanding and architectural spaces Dr. Marín Torné's scholarly output reveals a cohesive trajectory examining worship spaces through multiple lenses - theological, architectural, and pedagogical - with the Sagrada Familia serving as his central case study. His research also addresses contemporary societal challenges including the psychological effects of pandemic misinformation and the integration of religious minorities in educational settings. This work contributes significantly to understanding how religious diversity can be accommodated within secular educational frameworks while maintaining social cohesion. He currently leads the GREDA (Research Group in Education, Didactics and Learning) project (2022-2025) funded by AGAUR, and previously directed the EDUISLAM project (2023-2024) analyzing Catalonia's pilot plan for Islamic religious education. His earlier work includes the 2007-2008 project developing guidelines for secondary school teachers working with Maghrebi students and the 2015 Ramon Llull legacy project commemorating the 700th anniversary of Llull's death. Dr. Marín Torné maintains active research collaborations across multiple disciplines and institutions, contributing to both theoretical scholarship and practical applications in teacher training and educational policy development. His work demonstrates consistent scholarly productivity with numerous publications appearing through 2024.
