Jonas Hultin Rosenberg is an Associate Professor at Uppsala University's Department of Political Science and a visiting researcher at the Center for Multidisciplinary Research on Religion and Society (CRS). His work bridges political philosophy and political sociology, focusing on democratic theory, AI’s societal impact, and migration policies. Key research areas: democratic inclusion, voting rights, AI ethics, and migration sociology Current projects: political participation of people with disabilities (Swedish Research Council 2022–2024), family immigration attitudes (Vetenskapsrådet 2022–2024), and AI’s implications for democracy (WASP-HS 2020–2024) Previously explored contributivism, democratic legitimacy, and the all-affected principle Scientific Awards & Grants Swedish Research Council grant (2022–2024) Vetenskapsrådet grant (2022–2024) WASP-HS grant (2020–2024)
Rasmus Wentzer Licht serves as a Clinical Professor at Aalborg University Hospital within the Clinical Institute of the Faculty of Health Sciences, specializing in Psychiatry. His academic career spans several decades with substantial contributions to psychiatric research, particularly in bipolar disorders and depression treatment. Dr. Licht's research interests focus primarily on Bipolar Disorder , Depression , and Psychopharmacology , with significant work on lithium treatment and emerging psychedelic therapies. His fingerprint analysis shows 100% expertise in Bipolar Disorder, followed by strong concentrations in Antidepressants (23%), Dementia Praecox (23%), Major Depressive Episode (22%), Placebo effects (21%), Depression (21%), and Lithium treatments (20%). His recent publications demonstrate a clear trend toward innovative treatment approaches, particularly exploring psychedelic substances like psilocybin for treatment-resistant depression, alongside continued work on bipolar disorder diagnostics and management. The 2025 publication on psilocybin therapy represents cutting-edge research in alternative depression treatments. Dr. Licht has been actively involved in media discussions about mental health policy and treatment guidelines, including commentary on the balance between psychiatric and somatic healthcare and critiques of excessive treatment guidelines. He has supervised multiple PhD students and collaborated on significant research projects, including the 2013-2017 study on the Helping Alliance Questionnaire in music therapy for psychiatric patients. His work has generated substantial impact, particularly the research on psilocybin for depression which has been shared across social media platforms and academic networks.
Andrea Rosso is a PhD student and external lecturer at the Department of Electronics and Telecommunications (DET), Polytechnic University of Turin. He is part of the 40th cycle of the PhD program in Electrical, Electronics, and Communications Engineering (2024–2027). Additionally, he serves as a teaching assistant at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST). PhD Focus: Electrical, Electronics, and Communications Engineering Teaching Roles: Course collaborator for 'Communication Networks' and 'Internet and Social Media: Technologies and Trends in Online Communication' His research interests center on optical networking , including modeling transceivers, analyzing noise effects (ASE noise), and integrating digital twin technology for network optimization. Publications focus on converged metro-access networks, filtering effects, and cross-domain network management. He collaborates with researchers like Enrico Miotto and Emanuele Virgillito on optical communication challenges.
Luke Mason serves as Professor of Jurisprudence and Head of Westminster Law School at the University of Westminster, a position he assumed in 2021 after leadership roles at Birmingham City University, the University of Surrey, and St Mary's University. His international academic engagements include visiting professorships at Sorbonne Law School, Catholic University of Paris, EM Normandie, and the University of Bordeaux's COMPTRASEC research centre. His research program centers on: Labour law and social policy, particularly the legal construction of work relationships and platform economy regulation Legal philosophy examining law's relationship with culture and truth claims Innovative collaborations with artists producing films, museum exhibitions, and public engagement projects exploring legal concepts Recent publications demonstrate consistent engagement with contemporary challenges including Brexit's impact on social Europe, pandemic-era labor market responses, and the constitutionalization of EU labor rights. His work bridges doctrinal analysis with philosophical inquiry across multiple jurisdictions. Notable recognition includes: OUP Law Teacher of the Year prize (2014) Current research initiatives feature: European Commission-funded FUTOURWORK project (2024) improving tourism and hospitality worker well-being through social dialogue Mason actively supervises doctoral research, including Iuliia Patsiukova's machine learning analysis of sexual violence procedural reforms. He maintains extensive policy consultancy experience across the UK and internationally while serving on professional association boards, reflecting his commitment to translating academic work into practical legal and social impact.
Professor Sieh-Chuen Huang is a full-time faculty member at the College of Law, National Taiwan University (NTU), where she currently serves as Vice Dean and Professor of Law. She has held progressive academic ranks at NTU since 2009, including Assistant Professor (2009-2014), Associate Professor (2014-2020), and Professor (2020-present). Her academic journey began at NTU with a Bachelor of Laws (2001), followed by advanced degrees from Hokkaido University, Japan, where she earned her Master of Laws (2004) and Doctor of Juridical Science (2006). Doctor of Juridical Science, Hokkaido University Master of Laws, Hokkaido University Bachelor of Laws, National Taiwan University Professor Huang's research focuses on family law, guardianship systems, trusts and estates, empirical legal studies, and legal analytics. Her work examines intergenerational property transfer in aged societies, utilizing both doctrinal and data-driven approaches to analyze judicial decision-making patterns in family law and guardianship contexts. Her recent scholarly output demonstrates a strong emphasis on applying artificial intelligence and machine learning techniques to legal analysis, particularly in areas like child custody determinations, drunk driving sentencing, and guardianship for persons with disabilities. This innovative approach bridges traditional legal scholarship with computational methods. NTU Academic Advancement Young Chair Professorship (2024-27) NTU Research Performance Award (2021-27) Tsai Wan-Tsai Chair Professorship (2022) Outstanding Teaching and Mentoring Awards (2020) Excellent Young Scholars, Ministry of Technology and Science (2019) As a leader in legal education, Professor Huang directs NTU's Digital Law Center and has held editorial and administrative roles. Her work combines traditional civil law scholarship with cutting-edge legal analytics applications, making significant contributions to both academic research and policy development in elder law and family law.
Theresa Wagner serves as a Scientific Associate at the Department of Mathematics, Faculty of Mathematics, Chemnitz University of Technology since October 2020. She is actively engaged in the BMBF Junior Research Group SALE (fast algorithms for explainable recommendation systems) and holds leadership roles including Vice President of the GAMM Student Chapter Chemnitz and Deputy Equality Commissioner for the Department of Mathematics. Her academic background includes a Master of Science in Mathematics from TU Chemnitz completed in October 2020. Wagner further serves as a Women in Data Science (WiDS) Ambassador for Stanford University, organizing the WiDS Chemnitz Conference to promote gender diversity in data science. Wagner's research focuses on scientific computing and data science, particularly in developing fast algorithms for explainable recommendation systems. Her work bridges computational mathematics with practical AI applications, emphasizing transparency in algorithmic decision-making. As a WiDS Ambassador, she actively fosters inclusive communities in data science through outreach and mentorship initiatives. Administratively, Wagner contributes significantly to university governance as Deputy Equality Commissioner, Women's Representative, and member of the Center for Sport and Health Promotion Commission. She previously served as Secretary and Treasurer of the GAMM Student Chapter and remains an Advisory Member of the Student Representatives of Mathematics, demonstrating sustained commitment to academic service and student advocacy.
Leonard J. Cimini, Jr. is a Professor in the Department of Electrical & Computer Engineering at the University of Delaware. His research focuses on wireless communication systems, particularly multiple antenna techniques (MIMO), OFDM, and underwater acoustic networks. He has pioneered work on full-duplex communication and robust algorithms for uncertain channel conditions. His current projects include MAC layer optimization, cooperative networks, and physical-layer-based routing. Education PhD in Electrical Engineering, University of Pennsylvania MS in Electrical & Computer Engineering, University of Delaware BS in Electrical Engineering, University of Delaware Research Interests Cimini investigates adaptive resource allocation, OFDMA systems, and interference management in multiuser scenarios. His work emphasizes practical challenges like incomplete channel state information and environmental uncertainties. Recent projects include lake-based experiments for full-duplex underwater acoustic communications and energy-efficient protocols for autonomous vehicles. Awards & Recognition 2010 IEEE Communications Society Service Awards Stephen O. Rice Prize for Best Paper (2010) Elected IEEE Fellow (2010) National Science Foundation Fellowship (1978-1981) Grants & Collaborations He led NSF-funded projects like In-Band Full-Duplex Underwater Acoustic Networks (2017). His work bridges theoretical advancements with real-world implementations, including OFDM peak-to-power reduction techniques patented in 2017. Labs & Teams Cimini’s research group focuses on underwater acoustic networks and vehicular communication systems, collaborating with industry partners on full-duplex architectures and cooperative networking frameworks.
Jose Meseguer is a Professor at the University of Illinois, holding dual appointments in the Siebel School of Computing and Data Science and the Information Trust Institute. His research focuses on formal methods, rewriting logic, and protocol analysis, with significant contributions to the Maude system and formal verification techniques. He has authored over 390 publications, including works on executable specifications, inductive theorem proving, and distributed systems design. Education details are not explicitly stated in the provided text. His research interests span formal methods, concurrent systems, and automated reasoning, with a strong emphasis on practical applications in security protocols and distributed computing. His recent work includes advancements in inductive reasoning frameworks, equational program verification, and the development of formal patterns for protocol analysis. Articles consistently address topics like rewriting logic, model checking, and the integration of symbolic computation with real-world systems. He has received prestigious awards including the ACM Fellow (2020) and FME Fellowship (2019), recognizing his contributions to computer science and formal methods. While no advising details are provided, his work emphasizes collaborative formal methods for distributed systems and cybersecurity.
Silje Havrevold Henni is a Researcher at the Department of Public Health and Interdisciplinary Health Sciences, University of Oslo. She holds a PhD in Nursing Science (2020) and has extensive postdoctoral experience including a Fulbright-funded stay at Columbia University's Department of Biomedical Informatics (2021-2022). Her academic journey includes roles as a doctoral research fellow (2015-2020) and clinical nurse in cardiology and surgical units (2011-2013). Research Focus: Her work bridges nursing science with health informatics, emphasizing data visualization for equitable healthcare solutions. Key themes include diversity/equity in healthcare, geriatric care innovation, and participatory design of digital health tools. Teaching: Teaches quantitative methods (INTHE4020), master's thesis supervision (SYKVIT4400/GERSYK4500), and advanced nursing topics like pharmacology (GERSYK4403) and health promotion (GERSYK4103). Awards & Grants: Recipient of Fulbright Fellowship (2020) and Research Council of Norway funding for international research stays. Leads projects like BEAMER (behavioral health adherence) and CORAL (homecare-oral health integration). Key Contributions: Over 15 peer-reviewed articles (2016-2024) addressing nurse practitioner roles, elderly care challenges, and digital health equity. Active in interdisciplinary collaborations across nursing, informatics, and public health sectors.
Heather Broomfield is an External PhD Research Fellow at the University of Oslo's Department of Public and International Law, collaborating with the Norwegian Agency for Public Management and eGovernment (Difi). Her PhD project (2019-2023), titled Government by Algorithm - Protecting Democratic Values in the Deployment of Artificial Intelligence by the Public Sector , is jointly funded by the Norwegian Research Council and Difi. Professor Malcolm Langford serves as her primary supervisor. The research examines how Norway's highly digitized public sector can responsibly adopt AI while preserving democratic values like freedom, equality, and transparency. It addresses governance challenges arising from algorithmic decision-making in public administration and explores frameworks to balance innovation with ethical accountability. No specific academic awards or publications are listed in the provided materials. The project emphasizes Norway's unique position in leveraging data-driven governance while mitigating risks associated with AI's societal impacts.
George Osipov is a researcher at Linköping University's Department of Computer and Information Science (IDA), affiliated with the Faculty of Science and Engineering. He holds a PhD in Computer Science from Linköping University, where his thesis focused on the parameterized complexity of constraint satisfaction problems (CSPs) at the intersection of theoretical computer science and artificial intelligence. His work explores efficient algorithms for solving almost-satisfiable CSPs, emphasizing scalability and practical applications in data processing and automatic reasoning. Education: Bachelor's in Computer Science from Free University of Tbilisi, Georgia; Master's in Mathematics from Ilia State University, Georgia (with an Erasmus year in Uppsala University, Sweden). Affiliations: Member of the Wallenberg AI, Autonomous Systems and Software Program (WASP) graduate school; Postdoctoral researcher funded by the Swedish Research Council. Collaborations: Partnered with institutions in the UK (Royal Holloway, Newcastle, Leeds), Germany (Saarbrücken), and Poland (Warsaw). His research interests include parameterized complexity, constraint satisfaction problems, and algorithm design, with a focus on theoretical foundations and practical applications. He has received the prestigious 2023 Lawson Scholarship for excellence in computer science and is currently conducting postdoctoral research at Oxford University and Royal Holloway University of London. His work bridges theoretical computer science and AI, addressing challenges in scalable algorithmic solutions for complex computational problems. George's contributions have been recognized through grants and international collaborations, reflecting his commitment to advancing the frontiers of computational theory and its real-world utility.
Chancellor’s Professor of Law Dan Burk is a prominent scholar at the University of California, Irvine School of Law, specializing in intellectual property, technology law, and AI governance. He holds graduate degrees in molecular biology and law, blending technical expertise with legal analysis. His research focuses on algorithmic IP issues, copyright, and the intersection of law with emerging technologies like artificial intelligence. Burk is a 2019–2020 Senior Fellow at Berlin’s Weizenbaum Institute, exploring AI governance frameworks, and received a 2019 research grant from the University of Houston for studying algorithmic copyright liability. His work critiques current IP systems and proposes solutions for tech-driven legal challenges. Research interests include patent law’s role in biotechnology, software innovation, and regulatory sovereignty under international agreements like TRIPS. He has written extensively on AI ethics, data governance, and the societal impacts of digital technologies. Recent articles address algorithmic bias in IP systems, patent exhaustion as free speech, and regulatory frameworks for e-sports and big data platforms. Advising and grants highlight his leadership in shaping IP discourse; he collaborates globally on policy initiatives and has contributed to landmark cases like WesternGeco v. Ion Geophysical . As a founding faculty member of UCI Law, he has taught patent law since 1995, emphasizing interdisciplinary approaches to legal challenges in science and technology. His work bridges academic rigor with real-world applications through clinical programs and policy advocacy.
Dr. Alexandr Kuzminsky is a Senior Research Fellow at the University of Surrey, specializing in advanced wireless communication systems and signal processing. His research focuses on spectrum sharing, interference mitigation, and decentralized network control mechanisms. He has contributed extensively to topics such as adaptive antenna arrays, dynamic spectrum allocation (DSA), and high-mobility communication scenarios. Key areas of expertise include developing algorithms for coexistence in multi-RAT networks, good neighbor protocols for decentralized beamforming, and interference rejection combining techniques. His work addresses challenges in high-mobility environments (e.g., LEO satellites) and non-stationary interference scenarios. He has published over 20 peer-reviewed articles in top journals like IEEE Transactions on Signal Processing and IEEE Transactions on Cognitive Communications and Networking. Dr. Kuzminsky’s methodologies often integrate semi-blind signal processing with Markov chain analysis, enabling robust performance evaluation under varying interference conditions. His research bridges theoretical advancements with practical implementations, particularly in 5G/6G systems and next-generation wireless infrastructure. Education : Not explicitly stated in text, but his extensive publication record suggests advanced qualifications in electrical engineering or signal processing. Labs/Teams : Likely affiliated with the University of Surrey’s Institute for Communication Systems (ICS) or similar research groups. Grants : Implied through publication outputs, though specific funding details not disclosed.
Lixia Xiao is a Research Fellow at the Faculty of Engineering and Physical Sciences of the University of Surrey. Her research focuses on advanced wireless communication systems, particularly in MIMO configurations, spatial modulation techniques, and OFDM-based systems. She specializes in optimizing transmission efficiency through methods like compressive sensing, index modulation, and polarization modulation, with an emphasis on reducing hardware complexity (e.g., RF chains) while maintaining high spectral efficiency. Her work addresses challenges in non-coherent detection, channel estimation, and error probability analysis for next-generation communication systems. Key contributions include novel schemes such as STBC-QSM, G-QSM, and DCT-OFDM-IM, which enhance throughput and reliability in environments like massive MIMO and 5G networks. Xiao’s research also explores practical implementations of these techniques, balancing theoretical analysis with empirical validation. Publications highlight her focus on system design, signal detection algorithms, and performance optimization under diverse channel conditions. While her work is highly technical, it consistently bridges theoretical advancements with real-world applicability in wireless communication systems.
Prof. Alessandro Bozzon is a Full Professor of Human-Centered Artificial Intelligence (HCAI) at Delft University of Technology, holding dual appointments in the Faculty of Industrial Design Engineering and the Faculty of Electrical Engineering, Mathematics, and Computer Science. He leads the Department of Sustainable Design Engineering and chairs the Delft AI Labs and Talents initiative. His research focuses on developing AI systems that augment human capabilities while ensuring ethical and societal benefits, with contributions spanning HCAI, human-AI interaction, and algorithmic fairness. Awarded the 2023 Fellow of the Netherlands Academy of Engineering and recipient of the IBM Faculty Award (2017), Bozzon has pioneered projects like SocialGlass (urban analytics) and TROMPA (music digitization). He teaches courses on Machine Learning for Design and Crowd Computing, and has mentored over 70 graduate students. His work addresses challenges in healthcare AI, automated decision-making, and sustainable energy systems through interdisciplinary collaborations with industry and policymakers. Key projects include the Equal-Life initiative (children’s greenspace access) and FAIR digital product passports for ICT. He co-directs the Future Libraries Lab, exploring AI’s role in cultural heritage. His research has been featured in top venues like CHI, ACM conferences, and interdisciplinary journals.
