Karl de Fine Light is an Associate Professor of Ethics and Technology at Chalmers University of Technology's Science, Technology and Society division. He specializes in the ethical implications of technology in urban development and public decision-making, with a focus on social sustainability and artificial intelligence applications. Co-developer of courses on technology and ethics Member of CHAIR management team Active in Tracks program for interdisciplinary research His research areas include: Procedural justice in public AI governance Ethics of urban design (hostile/architectural ethics) Sustainability definitions and assessment frameworks Generative AI policy in higher education Equity in solar energy development Recent projects: Rättvis solenergi (2023-2025) - Evaluating fairness in solar park distribution Rättvisa och skälighet (2022-2023) - Framework for equitable water/sewage cost allocation
Chun-Biu Li is an Associate Professor at the Department of Mathematics , Stockholm University , specializing in computational mathematics and statistical physics of biophysical systems. His research bridges information theory, machine learning, and nonequilibrium statistical mechanics to understand complex biological processes. Education: PhD in mathematical & statistical physics from the University of Texas at Austin (supervised by Ilya Prigogine), M.S. in mathematical physics from the University of Utah. Academic Experience: Associate Professor (2016–present) at Stockholm University, Associate Professor (2008–2016) at Hokkaido University, and JST/CREST Researcher (2005–2008) at Kobe University. Research Interests focus on data-driven statistical analyses, nonequilibrium biophysical systems, AI explainability, and fluctuation theorems. His work applies these methods to plant morphogenesis, molecular motor dynamics, and machine learning applications in life sciences. Teaching includes advanced courses on deep learning, reinforcement learning, and statistical methods for life science applications. His Supervision has guided over 30 students in topics ranging from protein mutation modeling to causal inference algorithms. Scientific Awards: Professional Development Award, University of Texas at Austin (2003) Summer Research Fellowship, University of Texas at Austin (2001) National Dean's List for Outstanding College Students (1997) Publications (110+) highlight his contributions to plant morphogenesis, single-molecule analysis, and statistical methods. Recent works examine DNA barcode clustering, rotary motor protein dynamics, and shape-aware data visualization techniques.
Ludvig Beckman is a Professor at the Department of Political Science, Stockholm University, specializing in democratic theory, political legitimacy, and the boundaries of inclusion in political systems. His work critically examines foundational concepts like popular sovereignty, voting rights, and the impact of emerging technologies on democratic governance. Research Focus: Beckman's scholarship centers on three interconnected themes: (1) The conceptual and practical challenges of defining the 'demos' in democratic systems, particularly regarding marginalized groups, Indigenous peoples, and non-human entities like AI; (2) The legitimacy of state authority in transnational contexts (e.g., extraterritorial border controls); and (3) The role of public institutions in sustaining democratic discourse amidst digital disruption and populist threats. Active Research Projects: Reconstructing democracy in times of crisis (REDEM): Voter behavior analysis for democratic resilience. Den digitala offentlighetens begränsningar: Regulatory impacts of social media on democratic discourse. Det demokratiska självförsvarets dilemman: Public service media responses to populism/extremism in Europe. Globalisering och nya politiska rättigheter: Challenges to nation-states from self-determination claims. Vilka är folket i folkstyret?: Comparative analysis of national/Indigenous constitutional orders.
Leif Nilsson is an Associate Professor at the Department of Mathematics and Mathematical Statistics, Umeå University. His research focuses on statistical learning methods for industrial quality control and occupational health risk assessment. Statistical learning for defect detection Exposure modeling for occupational hazards Biostatistical analysis of health outcomes Recent work applies probabilistic classifiers and spline smoothers to automate surface finish inspection. He also investigates exposure variability in hand-arm vibration and its health impacts through epidemiological studies. Nilsson collaborates with clinical teams on stress recovery interventions and contributes to methodological developments in biological monitoring. His statistical expertise spans Bayesian modeling, resampling techniques, and spatio-temporal data analysis.
Stefan Larsson serves as Senior Lecturer and Associate Professor in Technology and Social Change at Lund University's Department of Technology and Society within the Faculty of Engineering. He directs the AI and Society research team and holds affiliate status at Lund's Centre for Retail Research, leveraging dual PhDs in Sociology of Law and Spatial Planning alongside an LLM to examine technology's societal impacts. His educational credentials include: PhD in Sociology of Law PhD in Spatial Planning Master of Laws (LLM) Larsson investigates critical intersections of law, technology, and social systems with emphasis on AI governance frameworks , consumer protection in digital markets , and trust mechanisms for autonomous systems . His work addresses socio-legal challenges across healthcare robotics, public sector automation, and algorithmic consumer markets while advancing UN Sustainable Development Goals through responsible innovation pathways. Current publications reveal concentrated analysis of youth interactions with generative AI and regulatory tensions in the EU AI Act , demonstrating how users navigate authenticity assessments of AI content while exposing fundamental conflicts between technological evolution and legal stability. Key distinctions include: Election to Royal Swedish Academy of Engineering Sciences (2024) Co-chair appointment for RCSL Working Group on Digitalisation, AI and Society (2024) Research board membership at Lund Engineering Faculty (2022) As supervisor for three doctoral candidates, Larsson manages significant research portfolios: Principal Investigator : 'When N equals 1' (2025-2027) on AI ethics in predictive medicine Project Coordinator : 'Girls in AI Science' gender-inclusion network (2025) Researcher : Swedish Research Council project on EU AI Act risk governance (2024-2026) His multidisciplinary team actively collaborates with public sector agencies, healthcare institutions, and consumer protection bodies to develop practical frameworks for trustworthy AI implementation across societal domains.
Oskar MacGregor is a Senior Lecturer in Informatics at the University of Skövde's School of Informatics, holding a position since 2013. He also serves as Program Director for the MSc in Cognitive Neuroscience. His academic journey began at the University of Skövde, followed by a BPhil from Oxford (2009) and a PhD from Swansea (2013). He teaches courses in logic, philosophy of science, and cognitive neuroscience. His research focuses on methodological rigor in cognitive neuroscience and philosophy, examining technological and statistical tool limitations. Key interests include electrophysiological correlates of error awareness, anti-doping regulations, and moral behavior. He emphasizes meta-research approaches to address systemic biases and structural flaws in scientific practices. Recent projects include exploring the ethics of digital disconnection in education/healthcare sectors and Sweden's potential in attracting research talent post-U.S. brain drain. He has contributed to initiatives like ShiftLabs, supporting SMEs in digital transformation. Notable publications span neuroethics, sport ethics, and trauma studies, including analyses of tsunami survivors' dreams and Holocaust survivors' lifelong PTSD. He critiques current anti-doping frameworks and advocates for improved research integrity standards.
Stanley Joel Greenstein is a Senior Lecturer in Law and Information Technology at the Department of Law, Faculty of Law, Stockholm University. He serves as Course Director for the optional Cyberlaw course. PhD in Law (Stockholm University, 2017) South African legal education background with civil/common law expertise His research focuses on technology-society interactions , particularly: Artificial Intelligence ethics and regulation Data protection and privacy frameworks Cybersecurity legal implications Algorithmic decision-making transparency Human dignity in digital environments Commercial data practices and autonomy Current projects include EXTREMUM (Explainable and Ethical Machine Learning for medical data) funded by Digital Futures initiative through 2024. His 2017 dissertation Our Humanity Exposed proposed empowerment strategies for regulating predictive modeling. Key research areas span: Digital society governance Algorithmic fairness in public services Legal aspects of environmental sustainability Digital innovation frameworks AI implementation in healthcare Explainable AI for regulatory compliance
Annika Bergström is a Professor at the Department of Journalism, Media and Communication (JMG) and Director at the SOM Institute since Fall 2023. Based in Gothenburg, Sweden, her research focuses on media audiences with particular emphasis on news consumption habits , digital media transitions , and audience participation in journalism, politics, and social networks. Key Research Areas : Digital media use, generational digital divides, methodological innovations in media consumption measurement Recent Publications : 2024 work on AI perception, local news deserts, and digital ethics; 2023 analyses of internet attitudes among seniors Teaching & Mentorship : Limited undergraduate courses and doctoral supervision Collaborations : Engages with media industry stakeholders, public seminars, and academic conferences Her 2024-2020 publications reveal consistent focus on digital transformation (40%), audience analysis (30%), and senior media interaction (30%), with methodological innovations in longitudinal media consumption studies.
Marco Molinari is a Researcher at the Department of Energy Technology within the School of Industrial Engineering and Management at KTH Royal Institute of Technology. He has been actively contributing to building energy research since completing his PhD at KTH in 2012, with previous postdoctoral experience at the ACCESS Linnaeus Centre, KTH Department of Automatic Control (2013-2016). Dr. Molinari's research focuses on smart buildings and the integration of Information and Communication Technologies in the built environment. His expertise spans energy monitoring systems, advanced control approaches for building systems, and passive techniques for low energy buildings. He has made significant contributions to exergy analysis in building systems and has been instrumental in developing the KTH Live-In Lab as a research platform. His recent publications demonstrate strong activity in digital twin applications for buildings, occupant-centric control systems, and energy efficiency analysis. The research trends show increasing focus on human-building interaction, cybersecurity aspects of smart buildings, and data-driven approaches to building control and optimization. Molinari actively participates in multiple research initiatives including the KTH Live-In Lab, Center Dig-It Lab, Digital Futures, and the Digitalized Industry working group. He has contributed to international projects such as the International Energy Agency ECBCS Annex 49 and serves on the editorial board of the International Review of Applied Sciences and Engineering. As an educator, he teaches courses in AI applications for sustainable energy engineering, heat pumping technologies, and sustainable building design. His supervision has focused on theses related to low energy buildings design, energy management, and building controls.
Krister Larsson is a Professor of Practice and Docent at the Department of Technical Acoustics, Chalmers University of Technology. He also serves as a senior consultant at Efterklang (AFRY) and has held previous roles at SP and RISE, where he managed acoustics labs and conducted senior research. His expertise spans building acoustics , community noise , and machine noise , with significant contributions to noise reduction in urban environments and lightweight structures. Research Interests : Larsson focuses on acoustic modeling , vibroacoustic systems , thermoacoustic devices , and noise control in transportation infrastructure . His work bridges theoretical acoustics and practical applications, including sound classification standards, noise barriers, and sustainable urban planning. Scientific Awards : While no awards are explicitly listed, his extensive publication record and leadership roles in acoustics research groups underscore his professional impact. Teaching & Affiliations : He teaches foundational and advanced courses in the ACE program and Master's program in Sound and Vibration . His career includes collaborations with research institutions (SP, RISE) and industry (AFRY).
Yuan Yao serves as an Assistant Professor in the Department of Information Technology at Uppsala University, Sweden. His academic role spans teaching and research within the Computer Systems division, focusing on cutting-edge computer architecture and parallel computing systems. He maintains active collaborations across international institutions, particularly in energy-efficient hardware design and emerging computing paradigms. His educational journey includes: B.S. in Micro-electronics from Northwestern Polytechnical University, China (2009) M.S. in System-on-Chip Design from KTH Royal Institute of Technology, Sweden (2014) Ph.D. in Electrical Engineering and Computer Science from KTH Royal Institute of Technology (2019) Yao's research centers on power and thermal management for chip multi-processors, Network-on-Chips (NoCs), and GPUs. He pioneers hardware/software co-design for high-performance computing, coherency mechanisms for emerging memory technologies, and performance analysis of on-chip networks. Recent work expands into neural network acceleration and battery-less Internet of Things architectures, reflecting a trajectory toward energy-constrained specialized systems. His methodology integrates formal modeling with practical implementation for real-world impact. Publication trends reveal consistent innovation in energy efficiency across parallel architectures. From foundational DVFS techniques for NoCs (2016-2018) to recent breakthroughs in battery-less IoT (2023-2024), his work demonstrates evolutionary progression toward novel computing domains. Key thematic threads include thermal-aware optimization, memory consistency protocols, and hardware acceleration for AI workloads, with applications spanning data centers to embedded systems. Scientific recognition includes: Best paper candidate at IEEE International Symposium on High Performance Computer Architecture (HPCA) 2018 for in-network packet generation research Yao actively supervises graduate researchers and leads collaborative projects in computer architecture. His grant portfolio supports work on battery-less IoT systems and neural network accelerators, though specific funding details aren't publicly enumerated. Current projects emphasize sustainable computing through novel architectures for energy-harvesting environments. He operates within Uppsala University's Computer Systems division, contributing to research groups focused on hardware acceleration, embedded systems, and networked architectures. His lab environment fosters interdisciplinary work bridging computer architecture, energy harvesting, and machine learning for next-generation computing platforms.
Yaffa Epstein is a Senior Lecturer in Environmental Law and Associate Professor at Uppsala University's Department of Law. She also serves as a Visiting Researcher at the Swedish Collegium for Advanced Study (SCAS). Her work bridges environmental law, EU law, and interdisciplinary legal theory. Education Doctor of Laws (Jur. Dr.), Uppsala University Master of Laws (Jur. lic.), Uppsala University Research Focus Epstein specializes in environmental law intersecting with • Legal personhood for natural entities • Climate change litigation • EU species protection frameworks • Biocultural heritage law • Posthumanist legal theory Publication Trends Her recent work explores nature's legal rights (2025), climate governance (2023-2024), and species protection litigation (2016-2023). Topics span EU environmental compliance, legal personhood for animals and ecosystems, and interdisciplinary approaches to conservation.
Sobhi Barg serves as an Assistant Senior Lecturer in Power Electronics at Mälardalen University's Department of Computer and Electrical Engineering (DET) in Sundsvall, Sweden. His position within the STC Research Centre focuses on advanced power conversion systems and magnetic component design for electric vehicles and renewable energy applications. Education: PhD in Electrical Engineering from National Engineering School of Sfax (2018) Erasmus Master in Sustainable Transportation and Electrical Power Systems (University of Oviedo, University of Nottingham, Polytechnic Institute of Coimbra) (2015) Master in Electrical Systems from National Engineering School of Tunis (2010) Engineering Degree from National Engineering School of Tunis (2008) His research centers on multi-objective optimization of power electronic systems , with expertise in core loss modeling for high-frequency magnetics, wireless power transfer, and EV power conversion. Recent work demonstrates innovative approaches to planar magnetics using unbalanced-flux techniques and precise core loss calculation for non-sinusoidal waveforms, significantly advancing efficiency in power converter design. Publications since 2019 reveal strong focus on magnetic component optimization and loss modeling , with 50% appearing in IEEE Transactions journals. Key trends include development of empirical core loss models for complex waveforms (2025), novel unbalanced-flux approaches for planar magnetics (2023-2024), and multi-objective GA optimization techniques for flyback transformers (2019). Scientific Recognition: Erasmus Mundus Scholarship-Category A (48,000 Euro) for Master studies in Sustainable Transportation and Electrical Power Systems (2013-2015) Dr. Barg teaches Analog Electronics and Electric Circuits laboratory courses while contributing to the STORE (Electrical Energy Storage) and MDOBC research projects. His work at the STC Research Centre bridges theoretical modeling with practical applications in renewable energy systems and electric vehicle powertrains, emphasizing experimental validation through Seebeck effect measurements and FEA simulations. Current research activities include DC inductor design based on Ampere's Law (2024) and continued refinement of core loss models for next-generation power converters, with significant implications for high-efficiency energy conversion in sustainable transportation systems.
Karl de Fine Licht is an Associate Professor in Ethics and Technology at Chalmers University of Technology, working within the Department of Science, Technology and Society under the School of Technology Management and Economics. He holds a PhD in Practical Philosophy and is actively involved in course development, skills development, and teaching in the field of "technology and ethics" at both basic and advanced levels. He is a member of the management group for CHAIR and participates in Tracks academic programs. Dr. de Fine Licht's research spans several interconnected domains focused on ethical considerations in technological development and implementation. His primary research interests include social sustainability in urban development, artificial intelligence governance in public decision-making, and ethical challenges in higher education. His work examines how design choices in urban environments affect social inclusion, how AI systems can be deployed justly in public sector applications, and how emerging technologies like generative AI impact academic integrity and pedagogy. His publication record demonstrates a consistent trajectory toward increasingly complex ethical frameworks for technology assessment. The most recent articles reveal a strong focus on procedural justice frameworks for resolving value conflicts in AI governance, critical examinations of generative AI in educational contexts, and refined conceptual approaches to sustainability. His work bridges theoretical philosophy with practical applications, particularly in public sector technology implementation and urban design ethics. Dr. de Fine Licht is currently leading two significant research projects: "Just Solar Energy – Photovoltaics in urban and rural contexts from a justice perspective" (2023-2025) funded by the Swedish Energy Agency, and "Rättvisa och skälighet: Om hur vi bör fördela kostnaderna för VA" (2022-2023) funded by The Swedish Water & Wastewater Association. These projects reflect his ongoing commitment to applying ethical frameworks to real-world technological implementation challenges, particularly those involving resource distribution and energy justice. His academic contributions extend to course development in technology and ethics, where he has integrated his research findings into educational practice. Through his work with CHAIR and Tracks programs, he helps shape interdisciplinary approaches to technology assessment that incorporate ethical considerations from the earliest stages of technological development.
Eleonora Rosati is a Professor of Intellectual Property Law at the Department of Law, Stockholm University. She co-directs the LLM in European Intellectual Property Law and teaches modules including Copyright and Transborder Litigation and Fashion and Intellectual Property Law . Her research focuses on EU copyright harmonization, online intermediary liability, AI-related challenges, and fashion industry IP. Education: PhD in EU Copyright Law (European University Institute, 2012) LLM (University of Cambridge, 2009) Laurea Specialistica in Giurisprudenza (University of Florence, 2008) Laurea in Scienze Giuridiche (University of Florence, 2006) Her recent publications analyze AI training data licensing , DSM Directive implementation , and metaverse IP enforcement . She has contributed to policy debates at the European Parliament , WIPO , and EUIPO . Notable awards include the 2022 Adepi Award and recognition as an Influential Woman in IP (2020, 2025) and one of the 50 Most Influential People in IP (2018). She serves as Of Counsel at Bird & Bird and co-edits the Journal of Intellectual Property Law & Practice . As a permanent member of The IPKat team since 2012 and author of over 1,000 posts, she shapes global IP discourse. Her work spans online intermediary responsibilities , text and data mining , and international jurisdiction in digital copyright cases. She has advised on Belgian additional remuneration rights and Italian Supreme Court decisions regarding store layout design protection.
