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عضو هیئت علمی
Josep Curto is a full Professor at Universitat Oberta de Catalunya and Adjunct Professor at IE University . He serves as Academic Director of the Master in Business Analytics (MIBA) , Facilitator at the Center for AI Safety , and founder of AthenaCore and Delfos Research . His career spans 25+ years in data science education across 15+ institutions.
مدرس ارشد
Dr. Yichuan Wang is a Senior Lecturer in Digital Marketing at the Sheffield University Management School (SUMS). Previously, he held positions at Newcastle University Business School and Auburn University (USA). His interdisciplinary research focuses on digital marketing, healthcare information systems, and big data analytics, with over 100 publications and 6,000 citations. He co-founded the International Conference on Digital Health and Medical Analytics (since 2018) and leads industry projects enhancing healthcare quality via analytics. His teaching innovations include serious games for business ethics education, supported by an NSF grant ($200k), and he was a Fellow of the Higher Education Academy (2018). Education: PhD in Marketing from Auburn University. Research Interests: Social media & digital marketing strategies Big data analytics and AI applications Digital health and business value Sharing economy dynamics Business transformation through digitalization Awards: Nominated for Teaching Excellence Awards (2018) Fellow of the Higher Education Academy (2018) Teaching & Industry Engagement: Incorporates real-world case studies and simulation games into modules like MGT3006. Collaborates with healthcare institutions to improve care through information systems. Part of the Behavioural Research for Inclusivity, Sustainability and Technological Transformation (BRISTT) research group. Lab/Teams: Active in the BRISTT group, focusing on behavioral insights for sustainable technological adoption.
پژوهشگر
Dr. Vincent Ginis is a prominent academic at Vrije Universiteit Brussel (VUB), associated with the Applied Physics Department and the Data Analytics Lab. His roles include doctoral scholarship supervision and research leadership in interdisciplinary projects. He holds a strong background in applied physics, metamaterials, and AI-driven solutions for societal challenges. Current affiliations include: Principal Investigator in 19 funded projects (2010–2029), focusing on AI ethics, sustainable transitions, and historical data analysis Supervisor of 60+ student theses across master's and doctoral levels Recipient of 15+ prestigious awards including the Agathon De Potter Award and FWO/Barco Prize Research interests span: Applied Physics: Metamaterials, optics, and photonics AI Applications: Ethics, bias mitigation, and historical data digitization Social Sciences: Wealth inequality, intergenerational mobility, and policy impact analysis Recent work highlights include groundbreaking studies on: Large Language Models' performance in OCR tasks Bias patterns in AI citation practices Ethical frameworks for human-centered AI systems Notable collaborations span institutions in Europe and beyond, with 1295 citations across 120+ publications. His work is amplified through platforms like Strava data for urban planning and historical datasets from 19th-century archives.
Prof. Dr. Katharina Simbeck is a Lecturer at HTW Berlin University of Applied Sciences , affiliated with the College of Computer Science, Communication and Business and the Department of Business Informatics . Her teaching and research focus on the intersection of Artificial Intelligence and Digitalization in educational and human resource contexts. Teaching Areas : Business Informatics, Finance, AI in Education and Human Resources, Fair and Explainable AI. Research Focus : Digitalization, Learning Analytics, HR Analytics, and addressing bias in AI systems. Additional Roles : Examination Board Member for Business Informatics (B and M programs). She supervises 1 doctoral student and has contributed to 85 publications and 16 research projects. Office hours are held on Wednesdays from 12:00 PM to 1:00 PM, with registration via email during breaks. Course details are available on her website .
Ana Claudia Loureiro is an Assistant Professor at the Polytechnic Institute of Viseu and Polytechnic Institute of Bragança , with a PhD in Educational Sciences from the University of São Paulo (2017) and postdoctoral work in Educational Technology at CIEB, Portugal (2021). She is an integrated researcher at the Distance Education and Elearning Laboratory (LE@D) of Universidade Aberta since 2024 and a regular member of NICA (Interdisciplinary Center for Adolescents and Children) at the University of the Azores. PhD in Educational Sciences (Language and Digital Education), University of São Paulo (2017) Postdoctorate in Educational Technology, CIEB, Polytechnic Institute of Bragança (2021) Specialization in Educational Technologies, Pontifical Catholic University of São Paulo (2013) Bachelor’s in Pedagogy, Saint Jude Thaddeus University (1989) Her research focuses on technologies in education , computational thinking , educational robotics , digital competence frameworks , and active methodologies . She explores the intersection of digital tools and inclusive practices in early childhood and special education contexts. Recent publications analyze the integration of robotics in inclusive settings, portfolio assessment in ICT internships, and digital competence development for teachers in Portugal and Cape Verde. Key article trends include digital competence frameworks , inclusive educational technologies , computational thinking , and portfolio assessment . Collaborative research with institutions across Brazil, Portugal, and Spain underscores her work’s international impact. 2024 : BEST PRESENTATION (Universitat Politècnica de València) 2021 : ONE OF THE BEST PAPERS (Universitat Politècnica de València) As a trainer since 2000, she collaborates with national and international institutions on ICT and educational technology. She participates in scientific committees for conferences, evaluates research, and contributes to curriculum design in digital education. Current roles include editorial board memberships and conference organizing committees, reflecting her leadership in educational technology research.
استادیار
Sunmee Kim is an Assistant Professor in the Department of Psychology at the University of Manitoba's Faculty of Arts. She obtained her BS in Statistics, BA in Psychology, and MS in Mathematical Statistics from Korea University, followed by a PhD in Quantitative Psychology & Modelling from McGill University (2020). Dr. Kim serves as a Research Affiliate at the Centre on Aging and Associate Chair of AKCSE-WiSE. PhD (Quantitative Psychology and Modeling), McGill University, 2020 MS (Mathematical Statistics), Korea University, 2012 BS (Statistics) & BA (Psychology), Korea University, 2010 Her research focuses on developing innovative statistical techniques for longitudinal data methods, knowledge-based dimension reduction, and multivariate prediction models. This includes extensions of Extended Redundancy Analysis (ERA) like GEE-ERA and ERA-Tree, as well as predictive model indices and applications in behavioral data science. Dr. Kim collaborates with domain experts in Health, Sociology, and Space Systems using large-scale datasets (CLSA, HRS) for intersectionality in health research, immigrant health studies, and methodological best practices. Her work is supported by NSERC and University of Manitoba funding programs. Scientific Awards 2024 - Early Achievement Award, AKCSE 2023 - WiSE Award, AKCSE 2023 - Invitation to 1st World Congress of Korean Scientists & Engineers 2022-2023 - Psychology Teaching Award Nominee 2022 - Invited International Scholar, Korea University BK21 Conference She mentors through the International Young Woman Scientist Camp and organizes WiSE sessions at AKCSE conferences, representing Canadian EDI practices internationally.
Kristof Coussement is a Full Professor and Academic Director of the MSc in Big Data Analytics for Business at IÉSEG School of Management. He holds a HDR in Business Administration from University of Paris Dauphine and Ph.D. in Applied Economics from Ghent University. He directs the IESEG Center for Marketing Analytics (ICMA). His research focuses on big data analytics, machine learning applications in marketing, and explainable AI. He develops advanced analytical frameworks for customer behavior prediction, financial forecasting, and algorithmic decision-making. Coussement's recent work shows strong emphasis on ethical AI development, algorithmic bias mitigation, and industry-specific language modeling. His publications increasingly address the intersection of AI technology and business decision-making processes.
پژوهشگر
Artem Barger is a researcher specializing in blockchain technology, distributed systems, and database optimization. With affiliations primarily in blockchain development and academic research, he has contributed extensively to Hyperledger Fabric enhancements and decentralized information systems. Research Interests Optimizing state databases for blockchain platforms Byzantine Fault Tolerance in distributed networks Permissioned blockchain architectures Tokenization of real-world assets AI applications in soft skills evaluation Recent Publications Barger's work focuses on improving blockchain scalability and security through techniques like certification blocks, Patricia Merkle tries, and verifiable randomness. He has also explored tokenization applications in charity and energy sectors.
دانشیار
Samuel Dahan is an Associate Professor at Queen’s University Faculty of Law and Director of the Conflict Analytics Lab. He holds visiting faculty positions at Cornell University, Paris Dauphine University, ENA, and Harvard University. His expertise spans Legal AI, Dispute Resolution, and Global Work, with a focus on open-source platforms like OpenJustice and the Deel Lab for global employment policy. Education: MA: Sorbonne-Ecole Normale Supérieure Ulm LLM: Katholieke Universiteit Leuven PhD: University of Cambridge Research Interests: Dahan’s work integrates data science with legal challenges, including AI-driven legal tools, conflict resolution analytics, and global workforce compliance. He leads initiatives like OpenJustice, an open-source platform with over 20,000 monthly queries, and the Deel Lab for HR tech innovation. Notable Achievements: Secured $1.1M in grants (NSERC-MITACS Partnership). Published in top venues: AAAI, ICML, McGill Law Journal. Keynote speaker at the French Supreme Court Hearing, Stanford Codex, and Law Society of Ontario. Labs & Teams: Directs the Conflict Analytics Lab at Queen’s University and co-leads the Deel Lab. His teams develop tools like the Deel AI Classifier and MyOpenCourt, addressing legal challenges through data-driven solutions.
Tijl De Bie is a Senior Full Professor at the University of Ghent, specializing in machine learning, data science, and their applications in bioinformatics, computational social sciences, and HR analytics. He leads the AI and Data Analytics (AIDA) research group within IDLab-ELIS. PhD in Machine Learning (KU Leuven, 2005) Worked at U.C. Berkeley, U.C. Davis, University of Southampton, and University of Bristol His research focuses on foundational aspects of data science, including fairness in AI, network embeddings, and human-centric methodologies. Recent work explores temporal network simulation, bias mitigation, and large-scale career trajectory datasets. Notable awards include an FWO Odysseus Group I grant and three ERC grants (Consolidator, Proof of Concept, Advanced). Current projects involve ethical AI frameworks and dynamic network analysis. Scientific Awards : FWO Odysseus Group I, ERC Consolidator, ERC Proof of Concept, ERC Advanced Grant He collaborates extensively in interdisciplinary research, applying machine learning to social media analysis and financial domains. His team develops open-source tools like EvalNE and Fondue for network embedding evaluation.
دانشیار
Dr. Gargoei Loke is an Associate Professor in the Department of Management and Marketing at Durham University since November 2023. He holds a Bachelor's and Master's from the UK and has 2 years of experience in the Netherlands. Prior to academia, he worked in Singapore's public policy sector, focusing on data science applications in public policy, data governance, and HR analytics. Education: Bachelor's degree (UK) Master's degree (UK) Research Interests: Gar Goei's research centers on decision-making under uncertainty, robust optimization in queueing networks, and integrating machine learning with optimization. His work applies to service operations, supply chains, healthcare, and energy/water systems. He has published in top journals like Operations Research and Manufacturing & Service Operations Management . Teaching & Advising: Teaches Project Management for the Online MBA and develops a Data Science for Business course. Has graduated two PhD students and is co-supervising two more. Labs/Teams: Active in doctoral training but no specific lab/team details mentioned.
استادیار
Hanyi Min is an Assistant Professor at the University of Illinois Urbana-Champaign with dual appointments in the School of Labor and Employment Relations and the Department of Psychology. Her research integrates psychometrics, organizational psychology, and machine learning to address critical challenges in human resources and employment relations. Her primary research focuses on item response theory, measurement invariance across demographic variables, and machine learning applications for personnel selection. Key interests include employee turnover prediction, work passion validation, political diversity in organizations, and age-related measurement issues. She develops advanced psychometric techniques like item-focused trees to ensure fair assessment across diverse populations while leveraging recommender systems for workforce analytics. Recent publications reveal a strong trend toward hybrid methodologies combining classical psychometrics with machine learning to solve practical HR problems. Her work emphasizes predictive validity in personnel selection, context-specific measurement invariance, and the socio-political dimensions of workplace diversity. Current research bridges psychological theory with computational approaches to improve organizational decision-making.
دانشیار
Emily Campion is an Associate Professor in the Department of Management and Entrepreneurship at the Tippie College of Business, University of Iowa, where she also holds the title of Henry B. Tippie Fellow. Her research bridges industrial-organizational psychology and data science, focusing on personnel selection, machine learning, and workplace fairness. Research Interests: Dr. Campion's work centers on improving hiring systems through advanced analytics. She investigates how machine learning and natural language processing can enhance selection accuracy while reducing adverse impact. Her research explores personnel assessment fairness, employee well-being, identity conflict at work, and multiple jobholding. She is particularly interested in equalizing opportunities in recruitment and leveraging AI ethically in HR decisions. Publication Trends: Her recent publications (2022–2025) demonstrate a strong focus on integrating computational methods into personnel selection. She frequently publishes in top-tier journals such as Journal of Applied Psychology , Personnel Psychology , and Human Resource Management . Her work consistently addresses fairness, prediction accuracy, and technological innovation in HR systems. Scientific Awards: Early Career Faculty Research Award - Tippie College of Business, 2024 Tippie Research Excellence Award, 2024 Tippie Research Excellence Award, 2023 Zedeck-Jacobs Adverse Impact Reduction Research Grant - Society for Industrial and Organizational Psychology, 2022 Advising and Service: While no students are listed, Dr. Campion plays a significant role in academic leadership through editorial service. She is an Editorial Board Member for Journal of Applied Psychology , Personnel Psychology , and Journal of Vocational Behavior , and served as Co-Editor for a special issue on machine learning in personnel selection. She also presents her research nationally, including at the Society for Industrial and Organizational Psychology. Education: PhD in Organization and Human Resources, University at Buffalo, The State University of New York BA in Journalism, Indiana University
دانشیار
Dr. Ahmed Shaalan is an Associate Professor in Marketing at Birmingham University and a Visiting Fellow at Cranfield School of Management. His academic journey began at Hull University Business School, where he earned both his PhD and Master's degree. Dr. Shaalan is renowned for his work on relationship marketing , Social Networks (including Chinese guanxi and Arab wasta ), and corporate branding in the Middle East and 17 countries. Education : PhD & Master's from Hull University Business School Current Affiliations : Birmingham University, Cranfield University His research examines how SMEs and tourism sectors leverage relationship marketing across cultures. He applies mixed methods (SPSS, SEM, Nvivo) and has secured funding from the GU8 Consortium for collaborative work in China. Recent publications in top journals like Journal of Business Ethics and Tourism Management reflect his focus on global marketing challenges. Key contributions include: Pioneering guanxi-type relationships framework in non-Chinese contexts Editorial roles at journals like Journal of Marketing Communications Guest lectures at University of York , Xiamen University , and University of Hull
Bülent Güloğlu is a Professor at the Department of Economics, Istanbul Technical University, specializing in econometric modeling, financial markets, and energy economics. His research spans nonlinear tail dependencies, structural change analysis, and sustainable development. Research interests include: Quantile regression applications in banking risk analysis Nonlinear dynamics in energy-agricultural commodity markets ESG metrics and corporate risk dependency Energy productivity in Türkiye's economic transformation Financial contagion and market interconnectivity Recent publications focus on sustainable photovoltaic policies, tail dependence analysis, and AI-enhanced decision models. His work has received Scopus citations and a Best Paper award in 2017. Scientific awards: Best Paper Prize, Istanbul Technical University (2017) Current projects include ESG risk analysis, energy efficiency impacts on carbon emissions, and nonlinear energy market modeling.
