Arno Siebes is Professor of Algorithmic Data Analysis in the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. His research focuses on data mining methodologies, particularly pattern mining and Minimum Description Length (MDL) principles. Key research areas include: Developing efficient algorithms for pattern discovery Applying MDL to data characterization Creating interpretable models for complex datasets Addressing challenges in data science education Recent publications demonstrate applications in diverse domains including mobility analysis, genomic screening, and pandemic response. His work combines theoretical foundations with practical implementations for knowledge discovery.
Dr. Yunxiao Chen is an Associate Professor in the Department of Statistics at the London School of Economics and Political Science (LSE), where he co-leads a psychometric lab with Professor Irini Moustaki. Previously, he was an Assistant Professor at Emory University (2016–2018) and earned his PhD in Statistics from Columbia University (2016). His research focuses on developing statistical and computational methods for social data science, addressing challenges in high-dimensional data analysis, latent variable models, and educational assessment. Education: PhD in Statistics, Columbia University, 2016 Research Interests: High-dimensional factor models (matrices, tensors, counting processes) Dynamic behavioral data analysis Sequential decision theory in personalized learning Statistical inference for large-scale item response data Applications in education, psychology, and marketing Publications: Recent work includes advancements in factor analysis, change-point detection, and DIF statistical inference Key journals: Journal of the American Statistical Association , Psychometrika , Journal of Machine Learning Research Awards: 2024 Psychometrics Society Best Reviewer Award 2022 Early Career Award 2018 NCME Loyd Dissertation Award Advising & Grants: Accepts PhD students in statistical methodology Funded by National Academy of Education/Spencer Fellowship (2018–2020) and IEA R&D grants (2022–2023) Labs & Teams: Runs LSE’s psychometric lab focused on educational measurement Collaborates with interdisciplinary teams on machine learning applications
Amparo Cervera Taulet is a Full Professor at the Department of Marketing and Market Research, Faculty of Economics, University of Valencia. She holds a PhD from the same university and leads the SIV (Service, Innovation, Value) research group. She has held leadership roles including Director of the Interuniversity Institute of International Economics (2016–2023), Director of the City of Valencia Chair (2013–2015), and Director of the Sustainable Economic Model Chair (2017–2019). She currently coordinates the PhD in Marketing at the University of Valencia and co-directed the international iMBA program (2009–2012). She is Editor-in-Chief of the International Review on Public and Nonprofit Marketing (Springer) and Vice President of the International Association on Public and Nonprofit Marketing. Education: PhD in Marketing and Market Research, University of Valencia (1998) Research stays at Harvard Business School, University of Birmingham, Victoria University (NZ), and others Her research focuses on strategic marketing, service marketing, innovation, public and nonprofit marketing, and sustainable tourism . She explores how organizations in both public and private sectors create value through customer orientation, branding, and innovation. Her work integrates theoretical models with practical applications in tourism, public services, and higher education. The analysis of her recent publications reveals a consistent focus on value co-creation, customer orientation, brand personality, and innovation in service contexts . Her work spans sectors including airlines, hotels, higher education, and public administration. She frequently employs relationship marketing and stakeholder theory to understand organizational dynamics. Recent trends show growing emphasis on digital services, inclusive tourism, and sustainability . Scientific Awards: Best Paper in Industrial Marketing Management (2008) Outstanding Paper Award in Industrial Management & Data Systems (2010) Multiple presentation awards at GIKA, AIRSI, and international tourism congresses Three Extraordinary Doctorate Prizes awarded to her PhD students Best Spanish Thesis in Entrepreneurship (awarded to her student) Amparo Cervera has supervised 13 doctoral theses and numerous master's projects, many funded by public and private institutions, reflecting strong knowledge transfer. She has participated in over 25 research projects, including European (ENPI) and public-funded initiatives on sustainable tourism and urban development. She has evaluated research for ANEP, DEVA-AAC, and the European Commission. She is actively involved in academic governance as a member of ANECA PEP commission, faculty board, and university gender and sustainability commissions. She leads the SIV (Service, Innovation, Value) research group and has directed competitive projects like Newcimed (sustainable Mediterranean tourism) and cruise tourism sustainability in the Valencian Community. Her international collaborations span institutions in the US, UK, Portugal, Chile, and France.
Dr. Bradley Elphinstone is a Senior Lecturer in the School of Health Sciences at Swinburne University of Technology, where he conducts research and teaching in clinical and health psychology, with a focus on mindfulness, nonattachment, self-compassion, and gender-affirming mental health. He is actively involved in PhD supervision and has led research on public trust in genomic data, emotional well-being, and digital mental health interventions. His research interests include: Clinical and Health Psychology Social and Personality Psychology Mindfulness-Based Interventions Nonattachment and Self-Compassion Gender Euphoria and Transgender Mental Health Public Trust in Health Data Systems His recent publications (2020–2025) reflect a strong trend in psychometric scale development (e.g., Gender Euphoria Scale, Equanimity Scale), emotional regulation, and public health psychology, particularly during the pandemic. His work bridges clinical psychology with public engagement and policy, especially in genomic governance and mental well-being. Scientific contributions include: Development and validation of psychological scales Studies on trust and compliance during public health crises Exploration of non-dualistic approaches to mental health (e.g., A Course in Miracles) Telehealth and dignity therapy for older adults Dr. Elphinstone supervises multiple PhD students on topics ranging from financial well-being to gender identity and digital interventions. He has secured external funding, including a grant from the Department of Health and Aged Care on genomic data trust. He is also involved in collaborative research networks and public engagement through platforms like The Conversation. He is affiliated with research teams focused on: Mindfulness and psychological development Trans and gender diverse mental health Digital and telehealth interventions Public attitudes toward biobanks and genomics
L. Thomas van Binsbergen is a Professor in the Department of Computer Science & Computer Engineering at the University of Wisconsin-La Crosse, affiliated with the College of Science & Health. His work focuses on language design, formal methods, and policy-based systems. His research explores Executable formal specifications of programming languages Modular meta-language frameworks (e.g., iCoLa+, eFLINT) Data-dependent grammars for network protocols Purpose-based access control derived from GDPR Functional parsing algorithms (GLL, Happy-GLL) Policy enforcement in distributed systems Recent publications (2020-2025) demonstrate trends in language parametric design, security policy formalization, and exploratory programming environments. Notable collaborations include Damian Frölich, Tim Müller, and Tom M. van Engers. Van Binsbergen earned his PhD from Royal Holloway, University of London (2019) and contributes to conferences like GPCE, SLE, and workshops on programming language theory and data security.
René Westerholt is a Juniorprofessor (Assistant Professor) at the Department of Spatial Planning of TU Dortmund University, Germany. His research focuses on statistical methods for spatiotemporal and place-based analysis, including spatial autocorrelation, hotspot detection, and spatial regression. He also specializes in formalizing place-based information and its integration with urban analytics. Education : Ph.D. in Geography (2013-2018), Heidelberg University M.Sc. Geoinformatics (2010-2012), Osnabrück University B.Sc. Geoinformatics (2007-2010), Osnabrück University Research Themes : Spatial analysis (user-generated data, spatial weights, autocorrelation) Place-based formalization (perception, geometric footprints) Empirical geographical studies (urban heat exposure, mobility services) Teaching : Digital Geographies, Spatial Statistics, Computer Science for Planners, and Urban Analytics at TU Dortmund University. He has also taught nationally and internationally in German and English. Awards : Dissertation Award Geoinformatics (2019) CDRC Data Challenge First Prize (2018) Young Researchers Award (2014) Contact : Office at TU Dortmund University, Room GBIII/318. Email: rene.westerholt@tu-dortmund.de
Dr. Lisa Star is Professor in the Civil Engineering and Construction Engineering Management Department at California State University, Long Beach. She holds BS, MS, and PhD degrees in Civil/Geotechnical Engineering from UCLA. Research specializes in soil-structure interaction effects during seismic events, employing large-scale field testing and advanced instrumentation. Key research areas include: Dynamic soil-foundation response characterization Geotechnical sensor implementation for infrastructure projects Tunneling-induced ground movement prediction Applied projects involve Los Angeles Metro tunneling operations, where she evaluates excavation impacts and ground behavior in complex soil conditions.
Alberto Maydeu Olivares is a Professor at the Department of Clinical Psychology and Psychobiology, Universitat de Barcelona, within the Faculty of Psychology. He leads the Violence, Behavior, Individual differences and Technology Studies (WITS) research group. His expertise spans psychometrics, structural equation modeling (SEM), and item response theory (IRT). He holds a Licenciatura in Psychology from the Universitat de Barcelona (1988), a Doctorat in Quantitative Psychology from the same institution (1991), and advanced degrees from the University of Illinois, including a Ph.D. in Quantitative Psychology (1997) and masters in Mathematical Statistics and Quantitative Psychology. His research focuses on improving psychological measurement methods, evaluating model fit in SEM/IRT, and addressing methodological challenges in behavioral data. Notable projects include NSF-funded work on SEM fit indices (2017–2020) and AGAUR-supported studies on IRT applications (2014–2017). He teaches advanced courses like Multivariate Analysis and Structural Equation Models at the master’s level. Maydeu Olivares has authored influential papers on goodness-of-fit assessment, causal effect estimation via instrumental variables, and forced-choice test design. His work bridges statistical rigor with practical applications in psychology, addressing issues like faking in assessments and common method bias. He actively contributes to methodological advancements, emphasizing transparent and robust statistical practices.
Barbara S. Lancho Barrantes is a Senior Lecturer at the University of Brighton's School of Architecture, Technology and Engineering within the Computing and Mathematical Sciences department. She specializes in bibliometrics, scientometrics, and research analytics, with a focus on citation analysis, sustainable development goals, and research integrity. She holds a PhD in Bibliometrics from the University of Extremadura and has received prestigious awards including the Extraordinary PhD Award (2014) and the Responsible Research and Innovation Award (2022). Education includes a Bachelor's in Information Science (First Class Honours, 2006), a Master's in Digital Information Management (2007), and a PhD in Bibliometrics (2012). She is a Fellow of the Higher Education Academy and has held roles at institutions like the University of Leeds and Tecnologico de Monterrey. Research interests span citation dynamics, SDG mappings, and the impact of economic factors on scientific productivity. She leads the LIS Bibliometrics committee and organizes the annual international conference. Recent work includes exploratory factor analysis of SDG indicators and multilingual research dissemination practices. Key Awards: Extraordinary PhD Award, Responsible Research and Innovation Award Professional Affiliations: Chair of LIS Bibliometrics Committee, External Examiner at University of Wolverhampton Supervision Focus: Bibliometric methodologies, data science integration with research metrics Her articles analyze citation flows, SDG contributions, and questionable publishing threats. She advocates for responsible research metrics through workshops and peer-review activities in journals like Scientometrics and Education for Information .
Meltem ACAR GÜVENDİR is an Associate Professor in the Department of Educational Sciences at Trakya University's Faculty of Education. She holds a PhD in Measurement and Evaluation in Education from Ankara University (2013) and has conducted postdoctoral research at the University of California, Los Angeles (UCLA). Her research focuses on large-scale educational assessment, including analyses of PISA, TIMSS, and OBBS datasets using hierarchical linear modeling. She specializes in value-added assessment, meta-analyses of study abroad impacts, and psychometric evaluation of educational policies. Academic roles include serving as Head of the Measurement and Evaluation Commission (since 2018) and Deputy Head of the Department of Educational Sciences (2016–2018). She co-edits the International Journal of Assessment Tools in Education and has contributed to over 60 peer-reviewed articles and book chapters. Her work explores student achievement predictors, test anxiety measurement, and international student integration. Key projects include a TÜBİTAK-funded study on scale development processes and participation in the EU-funded CA19103 initiative addressing LGBTI+ inequalities. She has supervised numerous research projects and delivered keynotes on educational measurement methodologies.
Míriam Díez Bosch is an Associate Professor at Blanquerna – School of Communication and International Relations, Universitat Ramon Llull. Her academic work focuses on the intersections of society, technology, religion, and media, with a strong emphasis on digital communication, political discourse, and ethical dimensions of media practices. Her research interests include: Religion and Media Digital Humanities Political Communication on Social Media Migration and Media Representation Media Ethics and Caring Leadership Islamophobia and Intercultural Relations Religious Freedom and European Identity Her recent publications reveal a consistent engagement with how digital platforms shape public discourse, particularly in political and religious contexts. She investigates the role of geography in online political conversations, the ethical alignment of organizational values with social media messaging, and the representation of marginalized voices such as refugees and migrants in European media. Her methodological approaches include in-depth interviews, focus groups, and quantitative analysis of social media data. She has led significant research projects such as HUMCORE (funded by the European Commission), RISECI, and the Càtedra de Llibertat Religiosa i de Consciència, demonstrating sustained external funding and leadership in interdisciplinary research. Her collaborations extend to scholars like Anna Sabaté Gauxachs and José Luis Micó-Sanz. While no scientific awards are explicitly listed, her work has garnered citations and attention in academic and professional networks such as Mendeley and X (formerly Twitter), indicating scholarly impact. She advises and mentors students, though specific names are not listed. She is involved in grant-funded research exploring humanitarian corridors, digital ethics, and religion in public life, contributing to both academic knowledge and societal understanding. She is part of research teams and labs focused on digital society, religion, and communication ethics, though specific lab names are not provided in the text.
Anna Comacchio is a Full Professor and Director of the Venice School of Management at Ca' Foscari University of Venice. She holds a prominent role in the university's Academic Senate and oversees research and teaching activities within the Department of Management. Her academic career is marked by leadership in organizational studies, innovation management, and network governance. She teaches courses such as 'Organizing in a Digital World' and 'Organization Studies' across undergraduate, master's, and doctoral programs. Her research focuses on organizational design, innovation dynamics, and the governance of business networks. Key themes include hybrid organizational models, remote work transformation during the pandemic, and boundary-spanning mechanisms in university-industry collaborations. She has published extensively in journals like Organization Science and Long Range Planning , and her work is featured in conference proceedings of the British Academy of Management and EGOS. Comacchio leads the Research Institute for Innovation Management Communications and contributes to the National Observatory on Business Networks. She is actively involved in developing leadership competencies and emotional intelligence programs for students and professionals. Her research integrates empirical studies with theoretical frameworks, emphasizing conceptual innovation and strategic frameworks for open innovation ecosystems.
Mai Elshehaly is a Lecturer in Computer Science at City, University of London, where she is affiliated with the giCentre in the Department of Computer Science, School of Science and Technology. She focuses on designing, developing, and evaluating visualisation solutions that support data-driven decision-making, particularly for non-technical users in healthcare and public sectors. Her work involves close collaboration with healthcare practitioners, local authorities, and schools to co-design tools grounded in real-world needs. Her research interests center on information visualisation and human-computer interaction , with a strong emphasis on user-centered and co-design methodologies . She investigates how lived experiences of stakeholders can shape visual analytics systems, especially in healthcare quality improvement, population health management, and digital transformation initiatives. Her approach bridges technical innovation with social impact, promoting equitable access to data insights. Her recent publications highlight trends in narrative visualization, integration of lived experience with electronic records (e.g., CLEVER framework), and adaptable dashboards for healthcare (QualDash). These works are published in top venues such as IEEE VIS, IEEE TVCG, and Computer Graphics Forum, reflecting a consistent focus on usability, evaluation, and real-world deployment of visual analytics tools. Department-level achievement award during PhD at Virginia Tech University-level achievement award during PhD at Virginia Tech Mai has secured research funding from the Bradford Institute for Health Research (BIHR), NIHR, and internal university sources including EPSRC doctoral training funds. She has led and contributed to interdisciplinary projects such as the Digital Makers Programme and Connected Bradford, which involve partnerships across academia, healthcare, and local government. While no formal PhD students are listed, she mentors through collaborative research and advisory roles. She is actively involved in applied research through leadership positions: Co-Director of the Digital Makers Programme, Deputy Director of the Workforce Observatory for West Yorkshire, member of the advisory board at the Wolfson Centre for Applied Health Research, and cross-theme visualisation expert at the Yorkshire and Humber Patient Safety Research Centre. These roles underscore her commitment to translating research into practice within health and education systems.
Annachiara Longoni serves as Associate Professor in the Department of Operations, Innovation and Data Sciences at Esade Business School, Ramon Llull University. She directs the Master of Research in Management Sciences program and leads BUNED (Business Networks Dynamics), focusing on sustainability-driven innovation in operations and supply chains. Education: PhD in Management, Economics and Industrial Engineering, Politecnico di Milano Master of Science in Management Engineering, Politecnico di Milano Bachelor degree in Management Engineering, Politecnico di Milano Her research centers on sustainable operations management, examining how sustainability practices transform product/process innovation within global supply chains. She investigates organizational mechanisms for optimizing triple bottom line performance through sustainable operations strategies, with particular emphasis on social sustainability dimensions including labor conditions and migrant integration in supply networks. Her work bridges theoretical frameworks with practical applications in manufacturing and logistics contexts. Analysis of her 15 most recent publications reveals dominant themes in sustainable supply chain management, social enterprise integration, and systemic change toward post-growth paradigms. Key trends include empirical investigations of working conditions in platform economies, the role of national culture in sustainability performance, and technological impacts on sustainable manufacturing. Her research consistently employs large-scale empirical methods and international collaboration networks. Scientific Awards: None documented in source materials. Dr. Longoni actively mentors through her directorship of the Master of Research program and BUNED research group. She collaborates extensively with the International Manufacturing Strategies Survey (IMSS) across 20+ countries and the USC-led sustainability network involving European and American institutions. Her research is supported through multinational university-industry partnerships focused on sustainable operations. As Director of BUNED, she leads research on business network dynamics and sustainable supply chain transformation. Her involvement in the EurOMA Forum organizing committee and international research networks demonstrates leadership in advancing sustainable operations scholarship through collaborative platforms spanning academic and industry stakeholders.
Dr. Yan Xia is an Associate Professor in the Department of Educational Psychology at the University of Illinois at Urbana-Champaign. He holds a Ph.D. in Educational Psychology and Learning Systems from Florida State University and completed a postdoctoral fellowship at Arizona State University's T. Denny Sanford School of Social and Family Dynamics. Key research areas: Statistical methods for structural equation modeling, item response theory, categorical/nonnormal/missing data analysis, and applications in special education, child development, organizational behavior, and sports psychology. Current appointments: Faculty, College of Education, University of Illinois (since 2025). Recent contributions: 2025 Monte Carlo simulation on developmental research generalizability, 2024 work on parallel analysis improvements, and meta-analysis of autism eye-tracking studies. His methodological work critically examines fit indices like RMSEA, CFI, and TLI in ordered categorical data contexts. Collaborations span autism research, educational interventions, and cross-cultural studies. Publications demonstrate expertise in DWLS/ULS estimation, factor retention, and missing data techniques. Scientific awards: Not explicitly mentioned in provided texts. Advising: Accepts new graduate students (2025). No student list provided.
