Nicholas Wiltsher is an Associate Professor at the Department of Philosophy; Aesthetics at Uppsala University since 2019. His research focuses on aesthetics, philosophy of mind, and race/gender studies, exploring topics like imagination's role in art, gender norms in aesthetics, and electronic dance music's philosophical dimensions. He holds a PhD from the University of Miami and has held academic roles at institutions including Antwerp, Auburn, Porto Alegre, and Leeds. Education: PhD in Philosophy from the University of Miami. Previous affiliations include universities in Antwerp, Auburn, Porto Alegre, and Leeds. Research interests include: the interplay between art and imagination, aesthetic norms and gender, expression theory, philosophy of race and gender, and electronic dance music aesthetics. He critiques traditional disciplinary boundaries in aesthetics and advocates for interdisciplinary approaches. His recent publications (2023–2025) emphasize imagination's epistemic role, the aesthetic constitution of gender identities, and critiques of additive imagination theories. Earlier work (2016–2019) addressed electronic dance music's cultural ontology and Collingwood's expression theory. Awards: No scientific awards explicitly listed. Grants and advising: No grants or student advisees explicitly mentioned in sources. Labs/Teams: No specific research groups or labs mentioned, though his work engages interdisciplinary collaborations in aesthetics and cultural philosophy.
Tobias Pettersson is a Senior Lecturer at the Department of Pedagogy: Music, Dance and Drama , University of Gothenburg . His roles include Undergraduate Teaching Coordinator and Education Coordinator for both first/second cycle education and teacher training programs. He works at the intersection of musicology , gender studies , and pedagogical traditions . Current position since 2015 Active in teacher education since the 1990s Doctoral degree in musicology (2004) Research Focus: Analyzes the origins and persistence of musical traditions , gender equality in music life , and education for sustainable development . Led projects at the Centre for Environment and Sustainability (2012-2014) and developed web-based educational toolboxes. Key Contributions: Publications on Beethoven's canonization in Swedish education (2004), gender dynamics in performing arts (2006), and critical analyses of musicological epistemology (2005). His work bridges historical musicology , pedagogical theory , and sustainability education . Contact: Email: tobias.pettersson@gu.se Office: Eklandagatan 86, 41259 Göteborg
Pan Xu is a tenure-track assistant professor with joint appointments in the Department of Biostatistics & Bioinformatics, Department of Computer Science, and Department of Electrical & Computer Engineering at Duke University. Previously, Xu was a Postdoctoral Scholar Research Associate at Caltech's Department of Computing and Mathematical Science and earned a Ph.D. in Computer Science from UCLA. Xu's research focuses on developing computationally- and data-efficient machine learning algorithms with strong empirical performance and theoretical guarantees. Xu's research interests center around Machine Learning with broad applications in Artificial Intelligence, Data Science, Optimization, Reinforcement Learning, and High Dimensional Statistics. The research specifically targets real-world problems in Bioinformatics and Healthcare, with recent work emphasizing distributionally robust decision making, efficient exploration strategies, and multi-agent systems. Xu has developed novel algorithms that address the challenges of exploration in sequential decision making and robustness to distributional shifts between training and deployment environments. Xu's recent publications demonstrate a strong trend toward developing theoretically grounded yet practical algorithms for reinforcement learning and bandit problems, with particular emphasis on distributionally robust methods, efficient exploration techniques, and applications to healthcare. The work spans both theoretical analysis (providing minimax optimal regret bounds) and practical implementations (validated on benchmarks like Atari games and real healthcare datasets). Whitehead Scholar award from Duke University School of Medicine (2023) Best Paper Award at ACM FAccT 2023 for Queer In AI paper PIMCO Postdoctoral Fellowship in Data Science (2022) TMLR Featured Certification (2023) NSF award on approximate sampling based exploration (2023) Xu actively mentors multiple Ph.D. students across Duke's Biostatistics & Bioinformatics, Computer Science, and Electrical & Computer Engineering programs, with several alumni now pursuing doctoral studies at top institutions. The research group has secured competitive funding including an NSF award for approximate sampling based exploration for sequential decision making. Xu serves as an action editor for TMLR and as an area chair for major conferences including ICML, NeurIPS, AAAI, ICLR, and AISTATS. Xu leads a dynamic research group focused on sequential decision making, with projects spanning theoretical algorithm development, implementation of practical systems, and applications to healthcare and bioinformatics. The group maintains active collaborations across Duke's medical and engineering schools, with recent work applying machine learning to epidemic forecasting during the pandemic.
Jennifer K. Ryan is a Professor and Division Head for Numerical Analysis, Optimization & Systems Theory at the Department of Mathematics, KTH Royal Institute of Technology, Stockholm. She is affiliated with the Digital Futures Faculty, a cross-disciplinary research center jointly established by KTH, Stockholm University, and RISE Research Institutes of Sweden. Her research focuses on developing numerical schemes for extracting enhanced accuracy from simulations, with applications in imaging, data analysis, and fluid dynamics. Ryan’s work emphasizes improving computational efficiency through theoretical insights and practical algorithms. Her academic roles include teaching courses like Numerical Methods for Differential Equations II and supervising student projects in numerical analysis. She has contributed to the SIAC MAGIC toolbox, a software package for accuracy-enhancing filtering techniques. Ryan’s research group actively explores discontinuous Galerkin methods, SIAC filtering, and multi-resolution analysis, addressing challenges in computational physics and engineering. Her publications span high-order numerical methods, mesh adaptivity, and applications in plasma physics and wave equations. Projects include error estimation for boundary integral methods and developing filters for noisy data. Ryan collaborates internationally, contributing to both theoretical advancements and practical implementations in computational science.
Xiaoming Hu is a Professor at the Division of Numerical Analysis, Optimization and Systems Theory within the Department of Mathematics at KTH Royal Institute of Technology (Kungliga Tekniska Högskolan) in Stockholm, Sweden. Born in Chengdu, China, he received his B.S. degree from University of Science and Technology of China in 1983, followed by M.S. and Ph.D. degrees from Arizona State University in 1986 and 1989 respectively. After serving as a research assistant at the Institute of Automation, Chinese Academy of Sciences (1983-1984), he was a Gustafsson Postdoctoral Fellow at KTH (1989-1990) before becoming a faculty member. His educational background includes: B.S. in Engineering, University of Science and Technology of China, 1983 M.S. in Engineering, Arizona State University, 1986 Ph.D. in Engineering, Arizona State University, 1989 Xiaoming Hu's research primarily focuses on multi-agent systems, nonlinear feedback stabilization, nonlinear observer design, and sensing and active perception. His work bridges theoretical control theory with practical applications in robotics and autonomous systems. He has made significant contributions to geometric control theory, mathematical systems theory, and nonlinear systems analysis and control. His research often involves developing theoretical frameworks for distributed control, formation control, and cooperative behavior in multi-robot systems. Professor Hu's publication record shows a consistent research trajectory with numerous high-impact publications in top-tier journals like Automatica, IEEE Transactions on Automatic Control, and Systems & Control Letters. His research has evolved from fundamental control theory to more applied problems in robotics and multi-agent systems, while maintaining strong mathematical foundations. Recent work shows increasing focus on safety-critical control, inverse problems in estimation, and networked systems. His scientific contributions include: Development of theoretical frameworks for multi-agent coordination and formation control Advances in nonlinear observer design for robotic systems Contributions to geometric control theory and systems theory Research on distributed estimation and control algorithms Applications of control theory to robotics and autonomous systems Professor Hu teaches several advanced courses including Mathematical Systems Theory, Geometric Control Theory, and Nonlinear Systems: Analysis and Control. He has supervised numerous degree projects at both undergraduate and graduate levels in mathematics, optimization, systems theory, and scientific computing. His teaching reflects his research expertise, providing students with both theoretical foundations and practical applications of control theory.
Saurabh Amin is a Professor in the Department of Civil and Environmental Engineering at the Massachusetts Institute of Technology (MIT), where he also serves as the Edmund K. Turner Professor and Undergraduate Officer. He is a Principal Investigator at the Laboratory of Information and Decision Systems and holds affiliations with the Operations Research Center and the Center for Computational Science and Engineering. His educational background includes: B.Tech. 2002, Indian Institute of Technology (IIT) Roorkee M.S. 2004, University of Texas (UT) Austin Ph.D. 2011, University of California (UC) Berkeley Saurabh Amin's research focuses on the design and control of infrastructure systems using game theory and optimization in networks. His work spans three main areas: resilient network control, information systems and incentive design, and optimal resource allocation in large-scale infrastructure systems. By concentrating on critical infrastructure domains including highway transportation, electric power distribution, and urban water networks, his research develops innovative theory and tools to enhance system performance against both stochastic and adversarial disruptions. His approach involves modeling cyber-physical interactions in infrastructures to assess vulnerabilities, developing detection and response tools for failures at various scales, and designing economic incentive schemes that improve aggregate public good while accounting for dependencies and private information among strategic entities. Amin's work bridges mathematical systems theory with practical civil engineering applications, creating a rigorous theoretical foundation for infrastructure resilience that addresses diverse failure mechanisms from natural disasters to deliberate malicious actions. His recent publications demonstrate a strong focus on decarbonization of energy systems, resilient infrastructure planning under climate uncertainty, optimization methods for complex networked systems, and game-theoretic approaches to sustainable infrastructure management. His work increasingly integrates artificial intelligence and machine learning techniques with traditional control theory to address contemporary challenges in infrastructure resilience and sustainability. The research shows a clear trajectory toward addressing climate change impacts on infrastructure systems while maintaining economic efficiency and operational reliability. Professor Amin has received numerous prestigious awards and honors: Common Ground Excellence in Teaching Award, 2025 HSCC Test-of-Time Award, 2024 MIT CEE, Distinguished Service and Leadership Award, 2023 Samuel M. Seegal Prize (SoE) – inspiring students in pursuing and achieving excellence, 2022 Earll M. Murman for Excellence in Undergraduate Advising, 2022 C3.ai Digital Transformation Institute Research Award, 2020 MIT, Ole Madsen Mentoring Award, 2020 MIT, Energy Initiative Research Award, 2020 National Academy of Engineering, China-America Frontiers of Engineering Symposium speaker, 2019 MIT, Robert N. Noyce Career Development Professor, 2015-2018 Google Faculty Research Award, 2015 National Science Foundation CAREER Award, 2015 Siebel Energy Institute Research Award, 2015 MIT, Solomon Buchsbaum AT&T Research Fund Award, 2012 Professor Amin has been actively involved in significant research projects including the C3.ai DTI project on Causal Reasoning for Real-Time Attack Identification in Cyber-Physical Systems and another on Learning in Routing Games for Sustainable Electromobility. He serves as the chief scientist on multi-institutional NSF grants, including the $9 million Foundations of Resilient Cyber-Physical Systems (CPS) project. His teaching portfolio includes courses such as 1.008 Engineering for a Sustainable World, 1.104 Sensing and Intelligent Systems, 1.020 Engineering Sustainability: Analysis and Design, and 1.208 Resilient Networks. As Undergraduate Officer, he plays a key role in shaping the educational experience for civil and environmental engineering students at MIT. Professor Amin leads the Resilient Infrastructure Networks Lab at MIT, where his team develops theoretical foundations and practical tools for infrastructure resilience. The lab focuses on the intersection of control theory, game theory, and optimization applied to cyber-physical infrastructure systems. Current research directions include pandemic-resilient urban mobility and hurricane-resilient smart grid operations, reflecting the lab's commitment to addressing pressing societal challenges through rigorous systems engineering approaches.
Sven Werner is a Senior Professor at Halmstad University's Academy of Entrepreneurship, Innovation and Sustainability. His expertise lies in district heating and cooling systems, with a focus on decarbonization, energy efficiency, and fourth/fifth generation technologies. He has authored foundational textbooks, such as Energiförsörjning: En introduktion till vårt energisystem , and contributed to international platforms like DHC+ and the IEA's Low-Temperature District Heating Annex. His research includes pioneering the concept of 'Fourth Generation District Heating' and analyzing global heating/cooling demands. Key achievements include over 50 short courses for industry professionals and presentations across 20 countries. Current projects include a book on the world history of district heating. Research Highlights: Low-temperature systems, renewable integration, and thermal storage. Impact: Most-cited article on district heating (Annex X Final Report, 2014), cited every six hours in 2021. International Contributions: Co-developed the Pan-European Thermal Atlas (PETA) and advised the EU Energy Council on energy efficiency. Werner's work bridges academia and industry, emphasizing practical solutions for sustainable energy systems. His publications span journals, conference papers, and policy guides, addressing topics like heat distribution costs, industrial heat recovery, and smart grid technologies.
Joakim Odqvist is a Professor and Head of Department at the Structures unit within the Royal Institute of Technology (KTH). He specializes in materials science, with a focus on phase separation in alloys, nanostructure evolution, and the mechanical behavior of advanced materials. His research integrates experimental techniques like small-angle neutron scattering and atom probe tomography with computational modeling to study materials such as stainless steels, cemented carbides, and cast irons. Odqvist teaches courses in ceramic materials, material design, and materials structures, mentoring students at both undergraduate and graduate levels. His work addresses challenges in corrosion resistance, fatigue, and additive manufacturing, contributing to the development of high-performance materials for industrial applications. Research Interests: Phase separation mechanisms, spinodal decomposition in Fe-Cr alloys, nanostructure evolution in duplex stainless steels, diffusion kinetics, and the application of statistical models to hydrogen diffusion. His studies often bridge fundamental material science with practical engineering solutions, emphasizing predictive simulations and material design. Recent Articles: His publications focus on controlling nanostructures in super duplex steels, functional gradient carbides, and statistical models for hydrogen diffusion. Key themes include optimizing heat treatments to mitigate embrittlement, understanding precipitation kinetics in additively manufactured materials, and leveraging phase field modeling to predict material behavior. These studies highlight his role in advancing materials for harsh environments, such as aerospace and energy sectors.
Olof Bälter is a Professor in Computer Science at KTH Royal Institute of Technology, affiliated with the Division of Media Technology and Interaction Design within the School of Electrical Engineering and Computer Science. He is the founder of the Technology-Enhanced Learning research group and holds a focus on learning engineering and human-computer interaction. His research interests center on technology-enhanced learning , question-based learning , learning analytics , AI in education , and inclusive pedagogy . A consistent theme in his work is improving efficiency in education and daily life through digital tools. He developed the Pure Question-Based Learning (Pure QBL) methodology, a digital Socratic approach that enhances student engagement and learning outcomes. His work extends to wellness in education through initiatives like walking seminars, and he investigates digital interventions for mental health, such as online Cognitive Behavioral Therapy (CBT) courses. His recent publications highlight trends in AI-generated educational content , learning efficiency , digital pedagogy , and inclusive course design , with applications in computer science education, language instruction, and global development. His research often employs experimental and data-driven methods, including randomized controlled trials and learning analytics. Teacher of the Year at the Surveying program KTH's Pedagogical Prize Higher Education Hero STINT Excellence in Teaching Scholarship (2008 and 2013) Olof Bälter has supervised numerous courses in programming, computer science, media technology, and learning engineering. He has collaborated with institutions such as Stanford University, Williams College, Region Stockholm, Stockholm University, and organizations like Promobilia and Begripsam. His projects aim to scale effective learning methods globally and make education more accessible and efficient. He leads research on the effectiveness of Pure QBL for students with ADHD and is involved in developing digital tools for health literacy and professional development in Ethiopia and Rwanda. His work bridges theory and practice, aiming to transform educational delivery through innovation and evidence-based design.
Angelica Lindén Hirschberg is a Professor of Obstetrics and Gynecology (specializing in reproductive medicine) at Karolinska Institutet and a Senior Consultant in gynecological endocrinology at Karolinska University Hospital. She holds dual roles in academic leadership and clinical practice, focusing on disorders of reproductive function, endocrine-metabolic dysfunction, and hormonal conditions in women. Her affiliations include the Department of Women’s and Children’s Health, Reproductive Endocrinology and Metabolism Research Group, and the Division for Neonatology, Obstetrics, Gynaecology, and Reproductive Health. Education and Career: MD (Karolinska Institutet, 1984) PhD (Karolinska Institutet, 1989) Professor in Obstetrics and Gynecology (2007) Board member of international societies (ISGE, EMAS) Research Focus: Her translational research spans PCOS, obesity-related reproductive dysfunction, premature ovarian insufficiency, and disorders of sex development. Projects include hormonal impacts on athletic performance, immune therapy for ovarian dysfunction, and endometrial cell biology. Collaborations involve national/international networks and clinical trials (e.g., PROBES trial). Publications: Recent work emphasizes PCOS pathophysiology, menopausal health, and hormonal interventions in athletes. Key trends include single-cell profiling of endometrium, immunomodulatory therapies for POI, and non-hormonal treatments for vasomotor symptoms. Awards: King’s Seraphim Medal (2018) 2016 Grand Prize in Sport Science Appointed Royal Gynecologist (2009) Teaching and Mentorship: Coordinates courses on reproductive endocrinology, supervises PhD students (e.g., Esin Ylmaz), and chairs the PhD Study Director at her department. Authored over 25 book chapters on women’s health and sports medicine. Grants and Labs: Secured Swedish Research Council funding for POI trials. Her lab integrates experimental (Bioclinicum) and clinical (Women’s Health Research Unit) research.
Urban Johnson is a Professor at Halmstad University's School of Health and Welfare, specializing in sports psychology with a focus on sustainable participation in sports, health, and physical activity. His research examines psychological aspects of sports injury (pre- and post-injury) and healthy athletic engagement, particularly through pandemic-era studies of Swedish upper secondary sport students. Johnson's research interests center on: Psychological mechanisms in sports injury rehabilitation and prevention Adolescent athlete mental health and dropout dynamics Pandemic impacts on sport education systems Gender-specific responses to athletic challenges Longitudinal behavioral patterns in youth sports His work integrates qualitative analysis of student-athlete experiences with clinical psychology frameworks. His publication trends reveal intense focus on pandemic-related disruptions (2020-2025), with 12 of 15 recent articles examining COVID-19's impact on student-athletes, teachers, and sports systems. Key thematic clusters include: Sport injury psychology (ACL re-ruptures, prevention) Adolescent mental health during crises Fun/motivation dynamics in youth sports Cross-contextual leadership challenges Johnson actively supervises students at basic, advanced, and doctoral levels while teaching methodology courses. His collaborative projects include the Karolinska Football Injury Cohort Study and consensus statements on sport injury psychology. Current work emphasizes cocreation of injury prevention programs and psychological support services for elite handball.
Anders Parment is a Lecturer in Business Administration at Stockholm University , affiliated with the Stockholm Business School and its Department of Business Administration . With a focus on Marketing , he contributes to research on sustainability, generational differences, and urban-rural market dynamics. PhD in Economics from Linköping University (2005) MSc in Economics from Linköping University and Lund University Degree in Competition Law from Örebro University His research bridges Marketing , Sustainability , and Generational Behavior , examining how urbanization, digitalization, and societal polarization influence consumption and labor markets. Current projects explore urbanization effects and marketization in the Swedish school system . Publications highlight trends in Generational Marketing , Sustainable Practices , and Consumer Behavior across diverse contexts like automotive branding, retail evolution, and public administration. Swedish Marketing Association's Marketing Book of the Year (2019, 2016, 2014, 2013) Educational awards for teaching excellence He teaches basic and advanced marketing courses, including eMBA and leadership programs, emphasizing critical perspectives on corporate sustainability and consumer empowerment.
Philipp Schlatter is a Professor in the Department of Mechanics at KTH Royal Institute of Technology. His research focuses on fluid mechanics, turbulence, and computational fluid dynamics (CFD), with expertise in high-performance computing and direct numerical simulations (DNS). He leads projects involving scalable CFD frameworks like Neko and Nek5000, and investigates turbulent boundary layers, flow control, and coherent flow structures. His work includes experimental and numerical studies of wing profiles, rotating systems, and transition dynamics. Schlatter teaches courses on computational fluid dynamics and turbulence, emphasizing both theoretical and practical aspects of fluid mechanics. Key research interests include developing numerical methods for high-fidelity simulations, understanding turbulence mechanisms, and optimizing flow control strategies. His contributions span aerodynamics, heat transfer, and the application of machine learning to fluid dynamics problems. Schlatter collaborates extensively on interdisciplinary projects, leveraging advanced computing resources to address complex fluid flow phenomena. Publications highlight advancements in DNS frameworks, Bayesian optimization for flow control, and analysis of turbulent structures in pipe and boundary layer flows. His research also addresses challenges in measurement techniques and uncertainty quantification in CFD simulations.
Marianna Ivashina is a Professor and Head of the Antenna Systems Research Group at Chalmers University of Technology's Department of Electrical Engineering . Her work focuses on array antennas , antenna integration with electronics , optimal beamforming , and over-the-air measurement methods . The group has achieved international recognition for innovations in ultra-wideband (UWB) feeds , Gap waveguide antennas , and Doherty-power-amplifier-integrated antennas for 5G/6G and radio telescope applications. Key projects include the SSF Sweden-Taiwan collaboration , EU Horizon 2020 MyWave , and VINNOVA ENERGETIC initiatives. Her recent publications emphasize millimeter-wave (mmWave) communication and reconfigurable intelligent surfaces (RIS) , with applications in 5G/6G networks , satellite communication (SatCom) , and advanced antenna testing chambers . She explores beamforming optimization , self-interference mitigation , and hybrid OTA environments to enhance wireless system performance. The group's work bridges theoretical advancements with practical implementations, including RFSoC testbeds and high-efficiency antenna arrays . Marianna leads major research programs funded by Ericsson , VINNOVA , and EUREKA EURIPIDES2 , addressing challenges in beamforming , antenna-IC integration , and automated design for 5G/6G . These projects highlight her role in advancing millimeter-wave communication and sensor integration technologies.
Jonas Eliasson is a Visiting Professor at Linköping University's Department of Science and Technology (ITN), focusing on Communications and Transport Systems. He concurrently serves as Director of Transport Access at the Swedish National Transport Administration and chairs the Planning & Construction committee of the Royal Academy of Engineering Sciences. Previously, he was Director of the Stockholm City Transportation Administration (2016–2019) and a professor at the Royal Institute of Technology (KTH) from 2007 to 2016. His research emphasizes transport policy design and evaluation, including cost-benefit analysis, transport pricing, railway capacity allocation, and public acceptability of policies. He advises governments on sustainable transport planning, congestion pricing, and socio-economic appraisals. His work bridges theoretical frameworks and practical implementation, with a focus on accessibility, equity, and climate targets. Key research themes include infrastructure cost overruns, traffic demand reduction strategies, and the integration of passenger and freight transport systems. Recent publications analyze policy impacts, forecasting methods, and carbon-neutral transportation systems. His interdisciplinary approach addresses both technical and socio-political dimensions of transport challenges. Eliasson collaborates with research groups like Railway and Public Transport and contributes to initiatives like the 'Next Generation Smart Transportation Systems' project. Despite extensive professional roles, no formal student advisees are listed. His work is disseminated through journals like Transportation Research Part A and policy reports for national and regional governments.
