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Kamil Hassan is a Doctoral student and Researcher at KTH Royal Institute of Technology, affiliated with the Division of Decision and Control Systems. His work focuses on securing cyber-physical infrastructure through advanced control methodologies. His research spans Control Systems , Cyber-Physical Security , and Power Systems Resilience , with emphasis on mitigating attacks in time-critical networks. Key contributions include finite-time control barrier functions for power inverters and randomized detector tuning for attack impact reduction. His methodologies integrate hardware-in-the-loop validation with theoretical guarantees. Recent publications (2021–2025) reveal a trajectory toward resilient control architectures for energy systems, blending multiagent consensus theory with security-aware design. Work on power inverter networks dominates his output, addressing grid stability under cyber threats through novel barrier function frameworks and simulation-validated approaches. Hassan serves as course assistant for Cyber-Physical Security in Time-Critical Systems (EL2850) and operates within KTH's Decision and Control Systems division, contributing to hardware-in-the-loop testing environments for critical infrastructure protection.

• Control Systems
• Cyber-Physical Systems Security
• Power Systems Resilience
• +3 more

Anna-Maria Fjellman is a Senior Lecturer at the Department of Education and Special Education at the University of Gothenburg. Her research primarily focuses on school choice, school markets, segregation, marketization, educational privatization, and the consequences for equity in the Swedish educational system, with particular interest in the meaning of place for education. She works extensively with register data from the Gothenburg Longitudinal Database (GOLD). Her research interests span multiple interconnected areas including school choice systems, marketization of education, educational segregation patterns, rural education challenges, spatial analyses of educational systems, and the consequences of educational privatization. She employs quantitative methods and spatial analysis to examine how educational opportunities are distributed across different regions and demographic groups in Sweden. Her recent publications demonstrate a strong focus on analyzing trends in school segregation, particularly in urban school markets, with several 2023-2024 publications examining these patterns over time. Her work also extends into the field of countering violent extremism, exploring spatial patterns and institutional collaboration across Nordic societies. The research shows consistent engagement with critical questions about educational equity and the impact of market-oriented reforms on educational systems. She is actively involved in significant research projects including: School segregation in Sweden: Challenges, opportunities and interventions (SSIS), led by Kajsa Yang Hansen School, learning and mental health: determinants, consequences and prevention of school failure, led by Jan-Eric Gustafsson Previously, she has contributed to important projects such as FLECSLAB (Lifelong Learning Business Model), research on school and residential markets, studies on choice of upper secondary education among immigrant families, and Nordic Multiagency Approaches to Handling Extremism. Fjellman is affiliated with multiple research environments including FUR (Prerequisites, Education, and Outcomes), KRIT, and the Housing, Education and Segregation (BUS) research group, demonstrating her commitment to interdisciplinary collaboration and comprehensive educational research.

• School choice
• School markets
• Educational segregation
• +7 more

Virginia Dignum is Professor of Responsible Artificial Intelligence and Director of the AI Policy Lab at Umeå University's Department of Computing Science. She serves as senior advisor for AI policy to the Wallenberg Foundations and is an active member of the UN High Level Advisory Body on AI. Her institutional affiliations include the Faculty of Technology Policy and Management at Delft University of Technology. Her research centers on the complex interdependencies between people, organizations, and technology. Key interests include: Responsible AI: Moral/ethical issues in autonomous agent teams and regulatory frameworks Social interaction formalization: Developing computational architectures for agent deliberation based on social practices Human-agent teamwork: Investigating negotiation, trust, and collaboration dynamics in socio-technical environments Her work bridges theoretical AI foundations with real-world policy implementation. Analysis of her recent publications reveals strong focus on AI governance frameworks, explainability mechanisms, and fairness operationalization. Key trends include development of context-sensitive ethical assessment tools, regulatory sandbox implementations, and formal models for human-AI coevolution. Her research increasingly addresses planetary-scale AI impacts and children's rights in digital environments. Major recognitions include: Election to Swedish Royal Academy of Engineering Sciences (IVA), 2020 Fellowship in European Artificial Intelligence Association (EURAI), 2018 Veni Fellowship from NWO for agent-based organizational frameworks, 2006 AI Ethics Professional of the Year award, 2022 Dignum actively shapes global AI policy through leadership roles in the UN High Level Advisory Body, Global Partnership on AI (GPAI), and World Economic Forum Council on AI. She chairs major conferences including AAMAS'24 and serves as Ethics Chair for AAAI'24. Her advisory work extends to the European Commission, IEEE Global Initiative, and UNESCO AI Ethics Recommendation implementation. Current initiatives include the Vatican lecture series on AI ethics and regional AI policy development in Västerbotten. She directs Umeå University's AI Policy Lab, focusing on translating ethical principles into actionable governance frameworks. The lab develops tools for regulatory compliance assessment and stakeholder engagement in AI deployment. Recent projects address digital contact tracing governance and AI's impact on democratic processes.

• Responsible Artificial Intelligence
• AI Ethics and Governance
• Human-Agent Teamwork
• +2 more

Sz-Ting Tzeng is a Postdoctoral Fellow at the Department of Computer Science , Umeå University , Sweden. Her research focuses on socially aware AI , multiagent systems , human-centric AI , and AI ethics . Research Trends: Her recent publications (2024-2025) analyze value-based decision-making frameworks in multiagent systems, ethical AI, and social experience modeling through simulations. These works intersect AI ethics , human-AI collaboration , and value-sensitive design . Collaborations: The department participates in major programs like WASP (Wallenberg AI, Autonomous Systems and Software Program) and TAIGA (Transdisciplinary AI Centre).

• Artificial Intelligence
• Multiagent Systems
• Human-Centric AI
• +4 more

Valentin Polishchuk is a Senior Associate Professor at Linköping University's Department of Science and Technology (ITN), within the Communications and Transport Systems division. His research focuses on Air Traffic Management (including UTM for drones), algorithm design, robotics, GIS, and optimization. He holds a PhD and has contributed to over 110 publications, emphasizing theoretical and applied computational geometry. His work integrates interdisciplinary approaches to solve challenges in transportation systems and logistics. Educations: PhD in Computer Science (university unspecified) Research Interests: Algorithmic foundations for Air Traffic Management and UTM systems Geometric algorithms for path planning and visibility problems Optimization of transportation networks and logistics Applications of computational geometry in robotics and GIS Articles Trends: Recent work emphasizes multi-agent path coordination, pandemic modeling via graphical inference, and geometric approaches to social distancing. Earlier contributions focused on minimum-link paths, visibility algorithms, and relay networks optimization. Grants/Advising: Contributed to EU-funded projects on UTM and air traffic optimization Collaborations with industry partners on airspace capacity modeling Labs/Teams: Leads the Air Traffic and Transportation Planning research group, part of Linköping's Communications and Transport Systems division. Active in the FL (Flight Logistics Unit) and works with LiU's robotics and GIS initiatives.

• Air Traffic Management
• Algorithms Design
• GIS (Geographic Information Systems)
• +4 more

Henricus Verhagen is a Professor and Head of the Interaction Design and Learning Unit at the Department of Computer and Systems Sciences, Stockholm University. His research spans multiple domains including computer games and gaming , computational social simulation , agent theories inspired by social science , and ethics in AI . He serves as president of the European Social Simulation Association (ESSA) and contributes to SU's digital human sciences working group and national infrastructure HumInfra. Contact: verhagen@dsv.su.se Full name usage: Uses 'Harko' in publications Research focus: AI ethics, social simulation, agent-based modeling Research Interests encompass a unique blend of technical and social aspects: agent-based simulations for collective action problems, ethical frameworks for hybrid online systems, and player retention analysis in digital games. His work bridges computational models with real-world applications in public sector AI implementation and educational technology. Research Projects include both ongoing and completed initiatives like Mixed Reality Shared Engagement in Cultural Events (SECE) and Legal & Ethical AI Framework in Healthcare under the SPARC partnership.

• Artificial Intelligence
• Social Simulation
• Agent-based Modeling
• +5 more