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Adelaida AfilipoaieView profile

Researcher

• Media Studies
• Innovation
• Communication Sciences
• +4 more

Adelaida Afilipoaie is a postdoctoral researcher at the School of Communication Sciences , Vrije Universiteit Brussel , focusing on media policy, innovation, and European integration. Her work bridges academic research with EU regulatory frameworks. Research Themes : Media freedom and pluralism policies Digital platform regulation Audiovisual market dynamics AI ethics in journalism Her recent publications address the European Media Freedom Act , AI integration in newsrooms , and due prominence requirements for public service media. She actively collaborates with institutions like the European Union and participates in international conferences such as Media and Communication Studies Seminars . Her research spans interdisciplinary fields including media economics, policy analysis, and digital ethics.

• Actuarial Science
• Machine Learning
• Insurance Pricing
• +3 more

Roel Henckaerts is a Research Fellow at the Insurance Research Group, KU Leuven. His work centers on integrating advanced computational methods with actuarial science to optimize insurance pricing models. Research Focus: Henckaerts specializes in machine learning applications for insurance, including telematics-based dynamic pricing, interpretable AI for regulated industries, and data-driven risk assessment. His methodologies emphasize neural networks, tree-based models, and transparent surrogate systems to balance accuracy with regulatory compliance. Publication Trends: Recent articles (2019–2025) demonstrate a shift toward neural networks and model interpretability, while earlier work (2016–2018) established foundations in tree-based methods and risk factor engineering. Thematic evolution shows consistent focus on bridging machine learning scalability with actuarial rigor. Affiliations: As part of KU Leuven's Insurance Research Group, Henckaerts collaborates on industry-facing projects, though specific lab/team structures are undisclosed.

Wim CasteelsView profile

Lecturer

• Data Science
• Machine Learning
• Artificial Intelligence
• +4 more

Wim Casteels is a Lecturer and researcher at AP University College, specializing in AI and data science. He transitioned from quantum physics research at the University of Antwerp and Paris to roles in data science at Argenta's Data Analytics Office and imec's IDLab research group. His work focuses on applying AI to education, transportation, and environmental monitoring. He leads projects like AI4UX (user pattern detection), LAP! (learning analytics dashboards), and AI4Care (AI for youth care support). Education: PhD in Physics (University of Antwerp), followed by postdoctoral research on quantum systems in Antwerp and Paris. Transitioned to data science roles in industry and academia. Research Interests: Machine Learning, Deep Learning, Learning Analytics, and AI applications in education and transportation. Projects include developing AI-driven road weather models using vehicle sensor data, predictive student success models, and energy-efficient building control systems. His work emphasizes ethical AI implementation and data-driven decision-making. Key Projects: AI4UX (2023–2025), AHUMAIN (2023–2025), LAP! (2019–2023), and AI4Care (2024–2026). His research is supported by grants like the Industrial Research Fund. Labs/Teams: Part of AP University College's Media, Design and IT Knowledge Center, previously affiliated with imec's IDLab group and Argenta's Data Analytics Office.

Heritiana RanaivosonView profile

Research Professor

• Cultural Policy
• Media Diversity
• Media Innovation
• +5 more

Heritiana Ranaivoson is a Research Professor at imec-SMIT-VUB in the Media Economics & Policy Unit since 2010. He holds a PhD in Economics from Université Paris 1 Panthéon-Sorbonne and has held visiting lecturer positions at institutions including Sciences Po Lille and Université Saint-Louis – Bruxelles. His research focuses on cultural and media diversity, media innovation, and online platform governance. He coordinates the ALGEPI research project and leads work packages for EU Horizon projects like Fair MusE and CresCine. Ranaivoson is also a member of UNESCO’s Reflection Group on Cultural Expressions and an Associate Editor at Frontiers in Communication. Key research interests include the role of algorithms in cultural industries, media policy frameworks, and the impact of digital platforms. His recent work addresses topics like the European Media Freedom Act and fairness in music ecosystems. He has authored/co-edited over 186 publications, including the 2023 book European Audiovisual Policy in Transition . Current projects explore sustainable climate transitions for video platforms and animation industry partnerships. He advises initiatives such as the STARTS Prize and contributes to global policy dialogues on media diversity and intellectual property. His work bridges interdisciplinary approaches to tackle challenges in media economics and digital governance.

Bárbara da Rosa LazarottoView profile

Researcher

• Data Protection Law
• Privacy Law
• GDPR
• +3 more

Bárbara da Rosa Lazarotto is a doctoral researcher at the Faculty of Law and Criminology, Vrije Universiteit Brussel, specializing in the intersection of Data Protection Law , Privacy Regulation , and Smart City Technologies . Her work engages with GDPR frameworks, European data governance , and Latin American legal systems . Education : Master of Judiciary Law (2021) from the University of Minho. Her research explores disinformation regulation , redistribution of digital resources , and legal challenges in data-driven public administration . She actively contributes to academic discourse through blogs , working papers , and peer-reviewed chapters . Notable achievements include winning the BILETA European Journal of Law and Technology Prize (2023) . She participates in international conferences, including the AI & Law Crossroads: Winter Academy and Brussels Privacy Hub 10th Anniversary , and has been featured in media discussions on Big Tech ethics and African digital labor .

• Disinformation Studies
• Political Communication
• Social Media Effects
• +5 more

Brahim Zarouali serves as Assistant Professor at KU Leuven's Faculty of Social Sciences, conducting research through the Media, Information & Persuasion Lab. His work focuses on digital society challenges including disinformation, algorithmic influence, and human-machine communication. Current institutional roles include membership in the Faculty Council, Diversity Team FSS, and POC Communicatiewetenschappen Curriculum Committee. Research interests center on disinformation susceptibility , political microtargeting , and social media effects on adolescents. Key projects examine online harmful discourse (2025-2029), social media addiction among teens (2025-2029), and disinformation countermeasures in Flanders (2024-2028). His work employs longitudinal designs, machine learning approaches, and experimental methods to analyze cognitive and behavioral impacts of digital environments. Publication trends reveal strong focus on Disinformation mechanisms in election contexts Platform interventions against social bots Adolescent privacy behaviors on TikTok Metaverse adoption drivers with methodologies spanning computational communication, survey experiments, and AI-driven analysis. As promotor or co-promotor, Zarouali leads eight major research initiatives totaling over €2.5M in funding, including Flemish-Dutch disinformation monitoring collaboration and migration conflict resolution through communication. His lab (Parkstraat 45, room 04.149) develops digital tools for data collection via conversational agents while addressing ethical challenges in digital society research.

• Social Psychology
• Political Behavior
• Citizen Participation
• +7 more

Professor Tessa Haesevoets is a faculty member in the Department of Political Science at Ghent University's Faculty of Social Sciences. Her research focuses on the intersection of social psychology and political science, particularly examining citizen participation, trust dynamics, and decision-making processes in democratic governance. Her research interests include: Social psychology aspects of political behavior Citizen participation mechanisms in governance Technocracy and expert involvement in policymaking Trust restoration after violations Political decision-making processes AI integration in public administration Analysis of her recent publications reveals a strong focus on participatory democracy, examining how different stakeholders (citizens, politicians, civil servants) perceive and engage with various participatory instruments. Her work often employs experimental and survey methodologies to investigate legitimacy perceptions, power dynamics, and preference formation in political contexts. She has conducted significant research on how citizens balance preferences between politicians, experts, and AI in decision-making processes. Her scientific contributions include: Investigating the lingering effects of false accusations on organizational trust Examining citizen preferences for AI in public sector decisions Analyzing crisis-driven support for technocratic governance Developing multifaceted measures of participatory governance legitimacy Professor Haesevoets maintains extensive collaborations with colleagues at Ghent University, particularly with Bram Verschuere, Arne Roets, Alain Van Hiel, and Bram Wauters, reflecting her position within a strong research network focused on political psychology and democratic innovation.

• Complex Systems
• Network Analysis
• Mobility Data
• +3 more

Vsevolod Salnikov is a Researcher affiliated with the Namur Institute for Complex Systems at the University of Namur. His work focuses on complex systems, network analysis, and mobility data applications. He has led research projects such as OpenNext (2017-2019) and MyOpenNext (2020-2021), which developed predictive models and mobile applications for transportation analysis. Salnikov holds a Doctor of Sciences degree in Human Mobility from the University of Namur (2015), focusing on data acquisition and algorithmic solutions for mobility challenges. His research interests span topology, dynamics of networks, transportation economics, and higher-order network analysis. Notable contributions include studies on emergent grammar dynamics, simplicial complex applications in mathematics, and taxi price comparison mobile apps. Salnikov actively participates in conferences, presenting work on topics like non-Markovian dynamics and community detection in temporal networks. Key projects include leveraging mobility data for public interest and developing tools for urban transport optimization. His datasets include contributions to studies on emergent grammar dynamics, reflecting interdisciplinary collaborations in linguistics and network science.

Rubén ArcosView profile

Professor

• Intelligence Studies
• Strategic Communication
• Hybrid Threats
• +4 more

Rubén Arcos is a Professor at the University Rey Juan Carlos (URJC) in Madrid, Spain, where he serves as Director of International Programs and leads research in the Ciberimaginario group on Digital Culture and Communication. He holds a visiting role at the College of Europe (Bruges) in the EU International Relations department. Key Affiliations: Chair of Intelligence Studies Section, International Studies Association (ISA) Co-founder of the International Online Intelligence Hub (IntelHub) Member of NATO STO Research Task Groups (SAS-189, SAS-ET-FG, SAS-114) Editorial Board Member, International Journal of Intelligence and Counterintelligence Research Focus: Hybrid Threats, Disinformation, Strategic Communication, EU Security Policy, Intelligence Analysis, and Digital Culture. His work bridges academia and practice through projects like the EU-HYBNET network and the DOMINOES Erasmus+. Recent publications explore disinformation's impact on democracies and climate policy. Recent Projects: Co-PI of EU-HYBNET (Pan-European Hybrid Threat Network) Lead of the MOOC Strategic Communication to Counter Security Threats (ITU Prize Winner) Contributor to NATO/STO initiatives on predictive intelligence and uncertainty communication Awards: 2023 ITU WSIS Prize for Digital Innovation in Security Education NATO SAS Excellence Award for Project SAS-114 Academic Leadership: Directed Spain's first MA in Intelligence Analysis (2010–2018) Co-organized major conferences like StratComES and NATO's Hybrid Threat workshop Teaches courses on strategic communication, intelligence analysis, and EU security across 15+ countries

• Art History
• Tapestry Studies
• Digital Humanities
• +5 more

Koenraad Brosens is a Professor and Vice Dean of Education at KU Leuven's Faculty of Arts, where he leads the Art History Research Group. He serves as Campus Vice Dean of Education and is a member of DigiSoc – KU Leuven Institute for Digital Society. His institutional roles include membership on the Board of the Institute for Living Languages, Faculteitsraad Letteren, Faculteitsbestuur Letteren, and Onderwijsraad. His research centers on Art History with specialization in Tapestry Studies, Digital Humanities, and Network Analysis. He investigates material culture, social dimensions of art production, and AI-mediated art experiences. Current projects explore corporeality in textile art, Chinoiserie tapestries, and the impact of aging on Color Field paintings, bridging historical analysis with computational methods. Analysis of his recent publications reveals a strong interdisciplinary trajectory merging art history with data science. His work consistently examines valuation systems in tapestry, social network structures in creative communities, and digital tools for art historical research, with increasing focus on AI's role in artistic interpretation and experience. Brosens actively supervises doctoral candidates including Ilse De Prekel, Evelien Muls, and Hiba Lamqaddam. His research is supported by multiple grants, notably Living Corpora (2025-2029) on human-AI collaboration in digital humanities and Lichamelijkheid, Materialiteit en Betekenis in Textiele Kunst (2025-2029) as principal investigator. He leads Project Cornelia, a pioneering digital humanities initiative mapping social networks of early modern Flemish tapestry producers, and develops visualization tools like KUbism for data exploration in art historical contexts. His work integrates computational approaches with traditional art historical methodologies to analyze creative ecosystems.

Nadia SteilsView profile

Lecturer

• Consumer Behavior
• E-Learning
• Marketing
• +3 more

Nadia Steils is a Lecturer in the Business Administration Department at the Faculty of Economics, Management and Social Sciences, University of Namur (Belgium), with concurrent research affiliation at IAE Lille, University of Lille (France). Her academic home spans CeRCLe, LEM, and CCMS research centers, focusing on the intersection of consumer behavior and digital technologies. Education: PhD in Management Sciences - Marketing (University of Namur & IAE Lille, 2016) Master in Audit, Control, Research and Modeling in Marketing (IAE Lille, 2012) Bachelor in Applied Communications (IHECS Brussels, 2010) Her research centers on consumer e-learning processes , examining how digital interfaces shape knowledge acquisition and purchasing decisions. Specializing in consumer behavior in technology-mediated environments , she investigates the psychological mechanisms behind online learning adoption, gamification effects, and AI-driven service interactions. Recent work critically analyzes transparency paradoxes in influencer marketing and ethical dimensions of explainable AI systems, contributing directly to UN Sustainable Development Goals through consumer education frameworks. Analysis of her 16 research outputs (2013-2025) reveals evolving expertise from foundational e-learning studies toward contemporary AI/consumer behavior intersections. Current publications emphasize human-centric technology design , with strong focus on trust calibration in AI services and ethical implications of algorithmic manipulation. Research Leadership: Principal Investigator for Nestlé-funded social food trends project (2017-2018) Lead researcher on Creative Crowdsourcing knowledge-transfer initiative Key contributor to EU cultural experience knowledge-project Her 24 supervised student projects demonstrate active mentorship in consumer research methodology. Elected to departmental councils at both University of Namur and University of Lille, she shapes academic governance while maintaining rigorous teaching commitments across market research, marketing management, and database systems coursework.

Andrés Chomczyk PenedoView profile

Researcher

• Data Protection
• Cryptocurrency
• Personal Data
• +9 more

Andrés Chomczyk Penedo is a researcher specializing in data protection, cryptocurrency regulation, and digital policy. He is affiliated with Metajuridica and holds a postdoctoral position at the Institute of Law and Technology (Institut de Dret i Tecnologia). His work bridges legal frameworks with technological challenges, focusing on GDPR compliance, financial privacy, and sustainability in digital systems. Key Research Areas: Data Protection, Cryptocurrency, Cybersecurity, EU Policy, Biometrics, Disinformation Recent Article Trends: Andrés explores intersections of EU Green Objectives with GDPR, evaluates consent mechanisms in Latin American open finance, and analyzes cybersecurity-privacy trade-offs in financial systems. His work also addresses AI Act compliance and educational data governance. Scientific Awards: EDPS support to independent research projects (2024) Advisory & Public Engagement: Regularly presents at international conferences on topics like digital euros, financial privacy, and AI regulation. Provides expert commentary on cryptocurrency bans, NFTs, and blockchain impacts on traditional banking.

• Market Microstructure of Financial Markets
• Market liquidity
• Regulation of financial markets
• +7 more

Gunther Wuyts is an Associate Professor at the Faculty of Economics and Business (FEB) of KU Leuven, Belgium. He belongs to the Finance Research Group and holds significant committee roles including observer of the POC Rechten, member of the FEB Council as senior academic staff, and member of the Leuven and Kortrijk Campus Council. His research centers on financial market microstructure with expertise in market liquidity, trading system competition, dark liquidity pools, and regulatory frameworks. Key interests include settlement systems, liquidity externalities, market design, and risk management in banking contexts, addressing critical questions about market efficiency and transparency. Recent publications (2021-2023) demonstrate consistent focus on securities market infrastructure, particularly settlement fees and liquidity externalities, alongside banking regulation and household entrepreneurial finance. His collaborative work with Degryse, Zoican, and Smedts appears in top journals like Management Science and Journal of Financial Intermediation, while conference presentations at IFABS and Fintech events highlight practical applications. No scientific awards were documented in the source material. Advising and research funding: PhD Supervision: Gallegos Jurado (Banking Regulation), Markovic (Market Microstructure), Allard (Financial Stability), Saerens (High-Frequency Trading) Active Grants: Wine Investments Liquidity (2022-2026, Co-promotor) Collateral Markets Microstructure (2021-2025, Promotor) Illiquid Investments Risk (2021-2025, Co-promotor) Financial Market Infrastructure Design (2014-2025, Co-promotor) He contributes to the Finance Research Group's mission through teaching courses including Corporate Finance (TEW/HIR), Trading and Exchanges, and Asset Pricing, while advancing theoretical and empirical work on market structure efficiency.

Carmen MazijnView profile

Part-Time Lecturer

• Artificial Intelligence
• Machine Learning
• Algorithmic Fairness
• +2 more

Carmen Mazijn is a part-time lecturer at Vrije Universiteit Brussel (VUB) conducting interdisciplinary PhD research on the fairness of artificial intelligence systems, combining her background in mathematics and political sciences. She actively contributes to university governance as vice-chair of the Board of Directors, PhD representative in the University Council, and member of the EUTOPIA TRAIN Management Board. Research Focus: Algorithmic fairness, bias mitigation, and transparency in decision-making AI systems Interdisciplinary Approach: Bridges technical AI development with social science frameworks Her work examines fairness notions in machine learning, interrogates black-box algorithms, and develops methods like LUCID-GAN to locate unfairness. No scientific awards or student advising details were mentioned in the provided texts.

Gilles PerrouinView profile

Research Professor

• Software Engineering
• Testing
• Artificial Intelligence
• +3 more

Gilles Perrouin is a Research Professor in the Faculty of Computer Science at the University of Namur, affiliated with the Research Center on Information Systems Engineering and the Namur Digital Institute. His expertise spans Software Engineering, Testing, Artificial Intelligence, and Machine Learning, with a focus on software product lines, configuration management, and automated testing techniques. He leads projects such as SQUAL.AI (Software Quality through Artificial Intelligence) and SmartTune (Hyper-parameter Optimization for Deep Learning). Perrouin has received awards including the Distinguished Reviewer Award (2023 and 2019) and the VAMOS 2024 ten-year Most Influential Paper Award. He actively participates in organizing conferences like the Belgium-Netherlands Software Evolution Workshop and contributes to initiatives promoting diversity in science, such as Women and Girls in Science events. His research involves advancing testing methodologies for complex systems, exploring energy-efficient neural architectures, and addressing fairness in machine learning. Collaborations span international institutions, reflecting his global impact in software engineering and AI.