جست‌وجوی استاد و پژوهشگر

Ross A. Hammondمشاهده پروفایل

پژوهشگر ارشد

• Public Health
• Computational Modeling
• Policy Analysis
• +۷ مورد دیگر

Ross A. Hammond is a Senior Fellow and Director of the Center on Social Dynamics and Policy at the Brookings Institution, with academic appointments at Harvard School of Public Health, the Santa Fe Institute, and the Brown School at Washington University in St. Louis. His work bridges computational modeling and policy analysis to address pressing public health and socioeconomic challenges. Education: B.A. from Williams College, Ph.D. from the University of Michigan Hammond’s research focuses on public health policy , behavioral epidemiology , and computational modeling , particularly in areas such as obesity prevention , tobacco control , food systems , and social norm dynamics . He has also explored the application of agent-based models in pandemic response and AI regulation . His publications highlight interdisciplinary trends at the intersection of computational methods and real-world policy, including studies on childhood physical activity, health disparities, and AI integration. Awards include the Okun-Model Fellowship in Economics and NSF Fellowship during his academic training. Hammond has served as an expert advisor to federal agencies like NIH, FDA, and USDA, and conducted teaching and consulting work globally. He is on the editorial boards of Behavioral Science & Policy and Childhood Obesity , and has collaborated with organizations such as the World Bank and National Academies of Science.

Jesper Simonsenمشاهده پروفایل

استاد

• Participatory Design
• Healthcare Informatics
• Artificial Intelligence Implementation
• +۶ مورد دیگر

Jesper Simonsen is a Professor of Participatory Design at the Department of People and Technology, Roskilde University, Denmark. He directs the Information Technology Ph.D. program and has over 30 years of experience in action research, focusing on user-centered IT design and organizational change, particularly in healthcare settings since 2004. Current research projects involve AI implementation in clinical diagnostics (CNN-based renal tumor classification), task reallocation in healthcare (e.g., medication management shifts to pharmacists), and effects-driven innovation in bio-production processes via AI. Collaborations include Region Zealand, Capital Region of Denmark, and international institutions. His research integrates participatory design, action research, and sociotechnical approaches to address challenges in healthcare IT, AI ethics, and organizational transformation. Recent work emphasizes explainable AI, post-implementation evaluation, and modular innovation frameworks. Notable projects include the Roskilde University Strategic Research Initiative ‘Designing Human Technologies’ (2012-2016) and leadership roles in the Participatory Design Conferences Advisory Board (2014-2019). Supervised PhD students include Daniel van Dijk Jacobsen, Christopher Gyldenkærne, and Christine Bech Flagstad.

Marc Torrens Arnalمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۷ مورد دیگر

Marc Torrens Arnal is an Associate Professor in the Department of Operations, Innovation and Data Sciences at ESADE Business School, Ramon Llull University. He serves as Academic Director of the Executive Master in Business Analytics and is an active researcher at ESADE D3 – Institute for Data-Driven Decisions. Education: PhD in Artificial Intelligence, École Polytechnique Fédérale de Lausanne (EPFL) Computer Science Engineering, Universitat Politècnica de Catalunya (UPC) Marc's research centers on the application of Artificial Intelligence to solve real-world business and societal challenges. He is particularly passionate about leveraging AI to enhance human decision-making, improve lives, and bridge the gap between academic research and industrial implementation. His work spans machine learning, recommender systems, data-driven marketing, cybersecurity, and ethical AI. He emphasizes practical, impactful innovation grounded in scientific rigor. The most recent articles reflect a strong trend toward applying AI in business analytics, financial technology, and cybersecurity. There is a consistent focus on personalization, decision support, and ethical considerations. His publications span top venues in AI and human-computer interaction, demonstrating a long-standing contribution to both foundational and applied research. Scientific Awards: No awards explicitly mentioned in the text. Marc has advised numerous industry leaders through his entrepreneurial ventures and academic roles. He co-founded Strands, Inc., where he led innovation for over 14 years, building a globally recognized fintech platform. Though no formal students are listed, his leadership in executive education suggests significant mentorship of professionals and entrepreneurs. He has secured substantial real-world impact through patents and commercial deployment rather than traditional research grants. Labs and Research Teams: ESADE D3 - Institute for Data-Driven Decisions

• Human Resource Management
• Organizational Diversity
• Managerial Competencies
• +۵ مورد دیگر

Professor Anna Rakowska leads the Department of Intellectual Capital and Quality at Maria Curie-Skłodowska University's Faculty of Economics. With over 200 publications, her research spans human resource management, organizational diversity, and managerial competencies, while pioneering studies at the intersection of artificial intelligence in management and Human-Robot Interactions (HRI). She also investigates individual competencies within Circular Economy frameworks. Department Head of Intellectual Capital and Quality Deputy Editor in Human Management Systems Active in American Academy of Management and Polish Academy of Sciences (Lublin section) Focus on organizational justice, employee well-being, and diversity management Her scholarly work reveals trends in cross-cultural management studies, legal-comparative analyses of judicial systems, and evolving competencies for sustainable economies. Notably, she explores AI ethics in workplaces and migration-induced diversity challenges. Recipient of editorial board roles in international journals Research grant leadership in employee development and innovation Keynote speaker at conferences on organizational effectiveness Current projects examine robotic integration in business environments and diversity-driven innovation strategies, while maintaining active collaborations with industry leaders and policy experts.

Robin Carpentierمشاهده پروفایل

پژوهشگر ارشد

• Data Privacy
• Information Management
• Hardware Security
• +۳ مورد دیگر

Robin Carpentier is a Research Fellow at the School of Computing, Macquarie University . His work focuses on Data Privacy , Information Management , and Hardware Security , particularly in developing secure personal data management systems using Trusted Execution Environments (TEE) and SGX technology. Research Interests : Secure data processing with third-party code Privacy-preserving computation frameworks Hardware-based security for databases Dimensionality challenges in text privacy Resource-constrained privacy-preserving methods Recent Publications Trends : Robin's research over the past decade has explored data leakage mitigation, TEE-optimized database operations, and privacy-preserving mechanisms for large-scale data applications. His 2024 work extends these principles to secure AI/LLM interactions and advanced text privacy techniques.

Mathias Fischerمشاهده پروفایل

استاد

• IT and network security
• Resilient distributed systems
• Network monitoring
• +۴ مورد دیگر

Mathias Fischer is Professor for Computer Networks at the University of Hamburg since December 2021, affiliated with the MIN Department of Informatics. He previously served as an assistant professor at Universität Hamburg (2016-2021), University Münster (2015-16), and held postdoctoral positions at the International Computer Science Institute/UC Berkeley (2014-15) and the Center for Advanced Security Research Darmstadt/TU Darmstadt (2012-14). His educational background includes a PhD in Computer Science from TU Ilmenau (2012) and a diploma in Computer Science from the same institution (2008). He also served as Head of Data Literacy Education in IT Support at the University of Hamburg's ISA Center. Professor Fischer's research spans critical areas of modern network infrastructure, with particular emphasis on IT and network security , resilient distributed systems , and network monitoring . His work addresses fundamental challenges in cybersecurity including botnet monitoring, intrusion detection, and critical infrastructure protection. His research group actively investigates P2P networks and develops innovative approaches to network security that balance functionality with privacy preservation. Analysis of his recent publications reveals a strong focus on privacy-enhancing technologies, network security protocols, and resilient distributed systems. His research trajectory shows increasing attention to practical implementations of security solutions for edge computing environments, digital twin networks, and time-sensitive networking applications. The work demonstrates sophisticated integration of cryptographic techniques with network architecture design to address emerging security challenges in distributed systems. Among his notable recognitions are the Claussen-Simon Competition for Universities (2019), the University Prize of the Claussen-Simon Foundation (2019), and an Outstanding Paper Award at ACSAC (2018). Claussen-Simon Competition for Universities (2019) University Prize of the Claussen-Simon Foundation 2019 Outstanding Paper Award at ACSAC (2018) Professor Fischer leads multiple significant research projects including SOVEREIGN (Technologically sovereign security monitoring), RESISTANT (Resilient zero-trust platform for aircraft), and Dynamic situational awareness for rescue teams. His research group comprises numerous doctoral and master's students working on cutting-edge network security challenges. Current projects focus on developing resilient data and AI platforms for crisis situations, security monitoring for critical infrastructures, and innovative home network security solutions. The Computer Networks research group at the University of Hamburg, led by Professor Fischer, maintains active collaborations with industry and academic partners. The group operates specialized laboratories focused on network security testing, intrusion detection systems, and resilient network architectures. Current research directions include QUIC protocol security, federated learning security, and privacy-preserving network analytics, with strong emphasis on practical implementations that address real-world security challenges.

• Trustworthy Machine Learning
• Algorithmic Fairness
• Robust Distributed Learning
• +۵ مورد دیگر

Sanmi (Oluwasanmi) Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University and an adjunct Associate Professor at the University of Illinois at Urbana-Champaign. He leads Stanford Trustworthy AI Research (STAIR), working to develop the principles and practice of trustworthy machine learning with applications to neuroscience and healthcare. Koyejo holds affiliations with multiple Stanford institutes including SAIL, HAI, CRFM, AIMI, AI Safety, Machine Learning Group, and Bio-X. Koyejo completed his Ph.D. at the University of Texas at Austin followed by postdoctoral research at Stanford University. His research bridges theoretical machine learning with practical healthcare applications, focusing on developing robust and fair AI systems that can be trusted in critical domains. His work spans algorithmic fairness, robust distributed learning, metric elicitation, and applications to medical imaging and neuroscience. His recent publications demonstrate a strong focus on emerging challenges in AI including emergent abilities in large language models, fairness in medical AI, federated learning, and robustness against adversarial attacks. His work has increasingly addressed real-world healthcare challenges through deep learning applications to medical imaging, particularly chest radiographs for disease detection. Scientific Awards: NSF CAREER Award 2021 Skip Ellis Early Career Award Sloan Research Fellowship Frederick E. Terman Faculty Fellow (2022) Best Paper Award from UAI Kavli Fellowship IJCAI Early Career Spotlight Koyejo actively mentors a large research group with numerous PhD students and postdocs. His research has been supported by significant grants including NSF funding for projects like 'Fair Federated Representation Learning for Breast Cancer Risk Scoring.' He serves in leadership roles including as General Co-chair for NeurIPS 2022 and President of the Black in AI organization. His STAIR research group focuses on developing trustworthy AI principles and practices, with applications to healthcare and neuroimaging. The group collaborates extensively with healthcare institutions including OSF Healthcare and participates in major initiatives like the NIH-funded MIDRC and the NSF AI research institute AIFARMS.

Beyza EKENمشاهده پروفایل

استادیار

• Software Defect Prediction
• Natural Language Processing
• Machine Learning in Software Engineering
• +۲ مورد دیگر

Beyza Eken serves as Assistant Professor in the Department of Software Engineering at Sakarya University's Faculty of Computer and Information Sciences, teaching core courses including Software Project Management, Natural Language Processing, and Graduation Projects while maintaining active research in software engineering and AI applications. Her academic credentials include: Doctorate in Computer Engineering from Istanbul Technical University (2015), thesis: "Software Defect Prediction" Master's in Computer Engineering from Istanbul Technical University (2011-2015), thesis: "Entity Name Recognition in Short Texts" Bachelor's in Computer Engineering from Sakarya University (2007-2011) Dr. Eken's research integrates machine learning with software engineering, specializing in defect prediction models that incorporate personalized developer factors and industrial deployment challenges. Her work bridges natural language processing for Turkish social media analysis with software quality assurance, demonstrating expertise in both theoretical modeling and practical implementation in industrial settings. Recent expansions include neuro-symbolic AI for test oracle generation and MLOps frameworks. Publication trends reveal consistent focus on empirical software engineering from 2018-2021 (defect prediction, community smells, industrial deployment), evolving into cutting-edge domains by 2023-2025 (neuro-symbolic testing, employee feedback analysis, MLOps). Her work shows strong industry-academia collaboration patterns with increasing methodological sophistication. Dr. Eken actively contributes to academic service as reviewer for ACM Transactions on Software Engineering and Methodology (2024) and IEEE Transactions on Software Engineering (2023). She leads research projects including "Developer-specific error prediction modeling" (2020) and the Mevlana exchange project with Ryerson University on data mining for defect prediction (2018), while supervising graduation projects and research area courses that develop student expertise in software engineering practices. Her international research engagement includes participation in the ASTERIx project at Università della Svizzera Italiana's Software Testing and Analysis Research Group (2023), demonstrating ongoing commitment to global collaboration in software engineering advancements.

• Meta-Ethics
• Philosophy of Mind
• Philosophy of Language
• +۴ مورد دیگر

Sebastian Köhler is an Associate Professor of Philosophy at the Frankfurt School of Finance & Management. He teaches in the BSc in Management, Philosophy & Economics, BSc in Computational Business Analytics, and the Master of Applied Data Science. He previously served as a Wissenschaftlicher Mitarbeiter at Universität Duisburg-Essen and a Lecturer at Princeton University. His research focuses on meta-ethical questions surrounding normativity, the philosophies of Mind and Language, and the ethics of emerging information technologies. University of Edinburgh (PhD) University of Bielefeld London School of Economics University of Cambridge Köhler’s research bridges philosophical theory with practical applications in data science and AI ethics. His work on conceptual engineering addresses the challenges of defining and implementing ethical frameworks in technological contexts, particularly in autonomous systems and machine learning. Recent publications explore expressivist accounts of moral disagreement, the functional role of normative concepts, and the ethical implications of robot moral status. His scholarly contributions span leading journals such as The Journal of Philosophy, Ethics, Australasian Journal of Philosophy, Philosophical Studies, The Philosophical Quarterly, Erkenntnis, and Ratio. While no explicit scientific awards are documented, his interdisciplinary research has shaped discourse on responsible AI and the intersection of ethics and computational analytics.

Subhajit Basuمشاهده پروفایل

استاد

• Law and Technology
• Regulation of Emerging Technologies
• Cyberspace
• +۹ مورد دیگر

Professor Subhajit Basu is a leading academic at the University of Leeds , holding the position of Professor of Law and Technology within the School of Law . His work bridges Law, Artificial Intelligence, Big Data, and Emerging Technologies , with a focus on the Global South . He has authored influential books including Privacy and Healthcare Data (Routledge, 2016) and Global Perspectives on E-Commerce Taxation Law (Ashgate, 2008). PhD, Liverpool John Moores University LLB, Calcutta University Called to the Bar in 1998, specializing in Corporate Law in India Research Interests span Regulation of Emerging Technologies, AI Governance, Health Data Privacy, Autonomous Systems, and Online Harm . His recent projects include CoR: Sextortion in the Age of Blockchain and Deepfakes (Naif Arab University, 2025–2026) and Autonomy and Moral Agency in Bioethics (WBNUJS, 2024–2025). He previously led EU Horizon projects like PASCAL (2019–2023) on Connected and Autonomous Vehicles. Scientific Awards include the Hind Rattan (Jewel of India, 2020) and fellowships from the Royal Society of Arts and Higher Education Academy . His editorial leadership includes Editor-in-Chief of the International Review of Law Computers and Technology and associate roles on five journals. Notable Grants include funding from Naif Arab University (Saudi Arabia), EU Horizon 2020, EPSRC, and the Atlantic Philanthropies. He has provided consultancy to the National Cybercrime Research Centre (Poland), the Government of Saudi Arabia on AI frameworks, and The Dialogue (India) on IT Rules.

Mu-Han Linمشاهده پروفایل

استاد

• Radiation Oncology
• Medical Physics
• Adaptive Radiation Therapy
• +۳ مورد دیگر

Mu-Han Lin, Ph.D., is a Professor in the Department of Radiation Oncology at UT Southwestern Medical Center, with leadership roles including Senior Director of Clinical Physics and lead physicist for head and neck radiation oncology. Her academic profile spans Medical Physics , Adaptive Radiation Therapy , and Artificial Intelligence (AI) in Radiotherapy . Education: Master’s and Ph.D. in Medical Physics from National Tsing Hua University, Taiwan Training: Medical Physics Residency at Fox Chase Cancer Center, Philadelphia Dr. Lin’s research focuses on online adaptive radiation therapy (oART) systems, particularly cone beam CT-guided workflows for gastric MALT lymphoma and head/neck cancers. She pioneered techniques for dose prediction , plan quality assurance , and deep learning integration to address anatomical variations during treatment. Her work demonstrates reduced PTV margins (0.5-0.7 cm) while maintaining target coverage and minimizing organ-at-risk (OAR) doses through auto-contouring and synthetic CT optimization . Recent publications highlight her leadership in adaptive treatment planning (15+ articles from 2024-2025) across journals like Medical Physics , Practical Radiation Oncology , and Radiotherapy and Oncology . Key contributions include: X-Ray Guided Ethos Platform workflows Plan Quality Review Checklists HyperSight CBCT for image quality enhancement Inter-patient adaptive strategies for spine SAbR AI-driven segmentation and dose adaptation She actively contributes to clinical education as an instructor in UT Southwestern’s Medical Physics Certificate Program and Biomedical Engineering Graduate Program , and chairs symposiums on X-ray Guided Adaptive RT . Dr. Lin serves on editorial boards for Therapeutic Radiation and Oncology and Medical Physics , and collaborates on grants with Varian Medical Systems and other industry partners.

Francesco Pillaمشاهده پروفایل

استاد

• Smart Cities
• Geospatial Analysis
• Environmental Modeling
• +۷ مورد دیگر

Professor Francesco Pilla is a Full Professor of Smart and Sustainable Cities at University College Dublin's School of Architecture, Planning and Environmental Policy, where he also serves as Co-Director of the Spatial Dynamics Lab. Previously, he held positions as MSc Director (2018-2019) and Undergraduate Director for the School of Architecture. With over 15 years of experience in GIS modeling and spatial data analysis, Professor Pilla's work bridges technology, urban planning, and community engagement to create more sustainable cities. Professor Pilla's research focuses on developing geospatial analysis tools and environmental pollution models (air, noise, water) using GIS platforms to facilitate interoperability between research teams and end users. His approach integrates environmental pollution models with pervasive and community sensing applications for calibration and validation. A key innovation in his work is the integration of co-design principles through Living Labs in urban planning and citizen science initiatives to improve city life from an environmental perspective. His recent publications reveal a strong focus on urban sustainability challenges, with significant contributions to air quality monitoring, sustainable transportation, climate adaptation, and citizen science methodologies. His work increasingly incorporates advanced AI techniques, including large language models and machine learning algorithms, to analyze urban systems and develop data-driven solutions for complex environmental problems. The research demonstrates a clear trend toward integrating diverse data sources and developing practical tools for urban governance and planning. Haagen-Smit Prize (2024) - Recognizing outstanding papers published in Atmospheric Environment Best eMobility Project - Electric Vehicle Awards 2024 All Ireland community & council awards - Best Community Transport Initiative 2024 Academic research award: tipping point for action from Financial Times (2023) Professor Pilla leads numerous significant research projects including iSCAPE (H2020-SC5) as Coordinator, OPERANDUM (Principal Investigator for UCD) focusing on flood risk reduction with nature-based solutions, WeCount (Principal Investigator for UCD), and Connecting Nature (Principal Investigator for UCD). He has also secured funding through SFI Investigator grants for 'Scalable, Privacy-Enhanced Analytics for sharing mobility systems' and several Environmental Protection Agency projects. His collaborative work extends to partnerships with MIT through Fulbright/EPA TechImpact awards and IBM through Faculty Awards. At the Spatial Dynamics Lab, Professor Pilla oversees research that combines geospatial analysis, environmental monitoring, and community engagement. His innovative 'Bike Library' initiative, which has expanded to multiple schools in Dublin, exemplifies his commitment to translating research into practical community solutions. The lab's work integrates advanced sensing technologies, GIS platforms, and citizen science to address urban environmental challenges through collaborative approaches.

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

Song Liu serves as Associate Professor in Data Sciences and AI within the School of Mathematics at the University of Bristol. His academic journey spans multiple continents with a BEng from Suzhou University, MSc from Bristol, and Doctor of Engineering from Tokyo Tech. Current research focuses integrate mathematical foundations with practical AI applications across engineering domains. His educational background demonstrates international expertise: BEng: Suzhou University MSc: University of Bristol Doctor of Engineering: Tokyo Tech Research centers on exponential family manifolds and graphical models , with significant contributions to score matching techniques for missing data and generative modeling. His work bridges theoretical statistics with real-world applications in structural health monitoring and power electronics, particularly through transfer learning frameworks for magnetic core loss prediction. Recent publications reveal increasing focus on Wasserstein gradient flows and differential parameter inference in high-dimensional spaces. Liu's publication trajectory shows consistent innovation in density estimation and generative modeling, with recent work (2023-2025) emphasizing practical implementations in engineering contexts. Key themes include score-based diffusion models, manifold learning applications, and novel approaches to divergence minimization using velocity fields and optimal transport theory. Award recognition includes: Outstanding Paper at ICML2025 3rd Place in MagNet Challenge 2023 (Outstanding Performance Award) Grant leadership includes the 2023-2024 project Using Machine Learning to Correct Probe Skew in High-frequency Electrical Loss Measurements as Co-Investigator, and the 2019 Joint Workshop Between JGI and ISM as Principal Investigator. His academic service extends to hosting international researchers like Ayaka Sakata (2023) and receiving competitive fellowships for boundary example simulation (2018-2020). While no formal lab structure is specified, his collaborative network spans electrical engineering (magnetic core loss projects) and structural analysis (offshore wind foundation monitoring).

Michael Hylandمشاهده پروفایل

دانشیار

• Transportation Systems
• Autonomous Vehicles
• Operations Research
• +۴ مورد دیگر

Michael Hyland is an Associate Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering, University of California, Irvine. His research focuses on the modeling, analysis, and optimization of smart urban transportation systems, with particular emphasis on shared autonomous vehicles, microtransit integration with fixed-route transit, and sustainable mobility solutions. He employs methodologies from operations research (optimization, Markov decision processes), statistical modeling (discrete choice, regression), and economic analysis to address challenges in urban mobility. Education: Ph.D., Civil and Environmental Engineering (Transportation), Northwestern University, 2018 M.Eng., Civil and Environmental Engineering (Transportation), Cornell University, 2013 B.S. Civil and Environmental Engineering, Cornell University, Magna Cum Laude, 2013 His recent research explores emerging mobility paradigms through topics such as dynamic fleet management, vehicle miles traveled (VMT) impacts, equity in job accessibility, electricity demand implications of e-bikes, and human-machine collaborative planning frameworks. The work often combines large-scale simulation with interpretable modeling techniques. Hyland leads the Hyland Lab , which develops computational tools for evaluating integrated transportation systems. The lab's work spans theoretical modeling (e.g., state-space representations, decomposition heuristics) and applied policy analysis (e.g., assessing Senate Bill 1 infrastructure projects, AV-era parking reforms, and micromobility deployment strategies).

• Internet Law
• Digital Governance
• Platform Regulation
• +۷ مورد دیگر

Matthias C. Kettemann is Professor and Chair for Innovation, Theory, and Philosophy of Law at the Institute for Theory and Future of Law, University of Innsbruck. He simultaneously leads the research group 'Global Constitutionalism and the Internet' at the Humboldt Institute for Internet and Society (HIIG) and directs the research programme 'Regulatory Structures and the Emergence of Rules in Online Spaces' at the Leibniz Institute for Media Research | Hans Bredow Institute. Additionally, he heads the Innsbruck Quantum Ethics Lab and serves as a board member and research group leader for 'Platform and Content Governance' at the Sustainable Computing Lab, Vienna University of Economics and Business. Prof. Kettemann's research focuses on the legal foundations of digital societies, examining regulatory mechanisms for digital platforms and the interaction between states and private actors. His work spans internet governance, platform regulation, digital rights, and the ethical implications of emerging technologies including AI and quantum computing. He has published extensively on the normative order of the internet, with his 2020 monograph 'The Normative Order of the Internet: A Theory of Online Rule and Regulation' establishing him as a leading scholar in the field. His recent publications reveal a clear trajectory toward examining the intersection of law, technology, and democratic governance. The articles demonstrate particular attention to the Digital Services Act implementation, human-in-the-loop systems for AI governance, and the relationship between cybersecurity and privacy. His work consistently addresses how legal frameworks can protect democratic values while accommodating technological innovation, with increasing focus on quantum technology ethics and international dimensions of digital governance. Prof. Kettemann has advised numerous international organizations including the Council of Europe, UNESCO, OSCE, and various national ministries. His current research projects include the 'DSA research network,' 'Human in the Loop,' 'Cybersecurity,' and 'The Public International Law of the Internet,' reflecting his commitment to addressing pressing challenges in digital governance through interdisciplinary research and practical policy engagement. He is actively involved in multiple research teams and labs, particularly the Innsbruck Quantum Ethics Lab which explores ethical dimensions of quantum technologies, and contributes to shaping global digital governance through participation in international expert groups and advisory roles with governmental bodies across Europe.