جست‌وجوی استاد و پژوهشگر

Daria Davittiمشاهده پروفایل

دانشیار

• Human Rights Law
• Public International Law
• Environmental Law
• +۳ مورد دیگر

Daria Davitti is a Senior Lecturer and Associate Professor in Public International Law at Lund University's Department of Law. Her research focuses on intersections of international economic law and human rights, particularly in contexts of migration, climate breakdown, and privatized public goods. She leads major projects like the ERC-funded 'Refugee Finance: Histories, Frameworks, Practices' and the Formas-funded 'Screening for Sustainability'. Awards include the 2021 Juridiska Föreningens pedagogiska pris and the title of Docent in Public International Law. She advises on EU migration policies and environmental law compliance, and collaborates with institutions like GLAN and the International Code of Conduct Association for private security service providers. Her work examines refugee finance mechanisms, sustainable investment frameworks, and legal accountability in transnational corporate activities. Key areas include refugee entrepreneurship, EU Taxonomy sustainability criteria, and human rights due diligence in international investment. She has published extensively on topics ranging from refugee bonds to litigation finance in investment arbitration.

Heather Congdon Forsمشاهده پروفایل

مدرس ارشد

• Development Economics
• Education Policy
• Child Labor
• +۳ مورد دیگر

Heather Congdon Fors is a Senior Lecturer at the Department of Economics, University of Gothenburg. She holds a Ph.D. in Economics from the University of Gothenburg (2006), an M.A. in Economics from the University of Waterloo (1999), and a B.A. (Honours) in Economics from the University of Manitoba (1997). Her research focuses on development economics, education, child labor, and political economy. She has led the research project 'Child labor and school attendance in India' (2014–2018) and serves as a reviewer for journals such as the European Journal of Political Economy and Economic Inquiry. Her teaching expertise includes macroeconomics, statistics, institutional economics, and international economics. She has completed pedagogical training programs including HPE201 to HPE103. Her work explores topics such as the impact of globalization on education, land certification on schooling in Ethiopia, and the persistence of harmful cultural norms like female genital cutting in Africa. She has published extensively in peer-reviewed journals and authored reports on child labor policies, institutional change in post-colonial states, and gender biases in education. Fors has contributed to interdisciplinary projects, including analyses of bureaucrats' use of cost-benefit analysis in environmental policy and the long-term impacts of colonial missions on cultural practices. Her research bridges theoretical frameworks with empirical studies, addressing global challenges such as sustainable development goals and educational inequalities. She is based at Vasagatan 1, Gothenburg, and can be reached at heather.fors@economics.gu.se.

• Radar Remote Sensing
• Synthetic Aperture Radar (SAR)
• Forest Biomass Mapping
• +۳ مورد دیگر

Lars Ulander is a Professor at Chalmers University of Technology specializing in radar remote sensing. His research focuses on synthetic aperture radar (SAR) signal processing, particularly for applications in forest biomass mapping and ground imaging using VHF/UHF-band systems. He is a key proposer for ESA's BIOMASS satellite mission (launching 2025) and leads the BorealScat project, utilizing a 50-meter tower-based tomographic radar to study boreal forest dynamics. His work spans radar system development, SAR tomography techniques, and environmental monitoring of forests and sea surface currents. Current research areas include vegetation water content estimation, bistatic radar configurations, and optimization of SAR data processing algorithms for multi-temporal analysis. Recent publications demonstrate expertise in P-band/L-band SAR for biomass retrieval, passive radar systems, and interferometric techniques. His articles investigate radar backscatter sensitivity to forest structure, moisture parameters, and seasonal changes, while contributing to mission design frameworks like SLAINTE and SESAME.

Peter Nilssonمشاهده پروفایل

استاد

• Labor Economics
• Health Economics
• Environmental Economics
• +۲ مورد دیگر

Peter Nilsson is a Professor of Economics at the Institute for International Economic Studies (IIES) , Stockholm University. He also holds a guest professorship at Linnaeus University and serves as a research fellow at IFAU , Uppsala Center for Labor Studies , CESifo , and CEPR . Previously, he was a postdoctoral fellow at Stanford University and obtained his PhD from Uppsala University (2010). Research Focus: His work bridges Labor Economics , Health Economics , and Environmental Economics , analyzing how early-life exposures (alcohol, lead), workplace dynamics, and policy interventions (unemployment insurance, congestion pricing) shape long-term socioeconomic outcomes. Key themes include Environmental Health Impacts on Cognition and Crime Labor Market Responses to Insurance Policies Peer Effects in Workplace Behavior Policy Design for Social Equity Scientific Awards: Nilsson has been recognized through research fellowships at leading institutions and editorial roles, including Associate Editor at The Economic Journal since 2021. His work has been featured in American Economic Review , Journal of Political Economy , and NBER platforms. Key Contributions: He provided testimony for Connecticut’s HB-5045 to reduce childhood lead exposure and contributed to Sweden’s Corona Commission report on pandemic responses. His empirical methods combine natural experiments with administrative datasets to identify causal relationships in health, labor, and environmental economics.

Danica Kragicمشاهده پروفایل

استاد

• Robotics
• Computer Vision
• Machine Learning
• +۳ مورد دیگر

Danica Kragic is a Professor of Computer Science at the School of Electrical Engineering and Computer Science at the Royal Institute of Technology (KTH) in Stockholm, Sweden. She serves as the Director of the Centre for Autonomous Systems and leads the Robotics, Perception and Learning Lab at KTH. Her research focuses on advancing robotics capabilities through computer vision and machine learning approaches. MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia (1995) PhD in Computer Science from KTH (2001) Professor Kragic's research primarily centers on robotics, computer vision, and machine learning, with particular emphasis on robotic manipulation, grasp planning, and human-robot interaction. Her work bridges theoretical foundations with practical applications, exploring how robots can understand and interact with objects in complex environments. She investigates how visual and tactile sensing can be integrated to improve robotic perception and manipulation capabilities, with applications ranging from industrial automation to assistive robotics. Her recent publications demonstrate a strong focus on advanced grasp planning techniques, tactile sensing for manipulation, and mathematical representations for robotic control. Kragic's research shows increasing integration of machine learning approaches with traditional robotics frameworks, particularly in the areas of grasp synthesis, object recognition, and human-robot collaboration. Her work spans theoretical contributions in mathematical representations of grasps to practical implementations of robotic systems capable of adapting to novel objects and situations. 2007 IEEE Robotics and Automation Society Early Academic Career Award IEEE Fellow ERC Starting Grant (2012) Member of The Royal Swedish Academy of Sciences Member of The Royal Swedish Academy of Engineering Sciences Honorary Doctorate from Lappeenranta University of Technology Professor Kragic's research has been supported by major funding bodies including the EU, Knut and Alice Wallenberg Foundation, Swedish Foundation for Strategic Research, and Swedish Research Council. While specific student names aren't listed in the provided information, her publication record suggests extensive mentorship of PhD students and postdoctoral researchers in robotics and computer vision. Her lab, the Robotics, Perception and Learning Lab, serves as a hub for interdisciplinary research connecting computer science, engineering, and cognitive science perspectives on robotic systems. As Director of the Centre for Autonomous Systems at KTH, Kragic oversees a major research initiative focused on advancing autonomous technologies. Her Robotics, Perception and Learning Lab brings together researchers working on visual perception, machine learning, and robotic manipulation, with particular emphasis on developing systems that can understand and interact with objects in unstructured environments. The lab's work spans theoretical foundations of robotic manipulation to practical implementations of systems capable of learning from experience.

Kåre Synnesمشاهده پروفایل

استاد

• Pervasive Computing
• Mobile Computing
• Distributed Systems
• +۳ مورد دیگر

Kåre Synnes is a Professor in Pervasive and Mobile Computing at Luleå University of Technology, where he is affiliated with the Department of Computer Science, Electrical and Space Engineering. He is an active researcher and educator, recognized as an "Excellent lärare" (Excellent Teacher) and maintains his office in Luleå at location A3305a. Professor Synnes conducts research in pervasive computing and multimedia communication, with significant applications in eHealth. His work bridges theoretical computer science with practical implementations in distributed systems. He is also an affiliated researcher at the Centre for Distance-spanning Technology (CDT), focusing on technologies that enable communication across geographical boundaries. His recent publications demonstrate a clear trajectory toward sustainable computing solutions, with emphasis on circular economy applications, supply chain management, and environmental impact assessment. His research integrates computer science with economic and sustainability principles, showing how digital technologies can address contemporary environmental challenges through innovative auction systems, behavior analytics, and resource management frameworks. IST Prize winner as co-founder of Marratech AB Synnes has been deeply involved in European research projects since 1995, including multiple Framework Programme projects (FP4 through FP7). His work as an expert/reviewer for European projects since 2009 demonstrates his standing in the research community. His entrepreneurial success with Marratech AB, which was acquired by Google to form the basis for Google+ Hangouts, shows his ability to translate research into impactful commercial applications. Professor Synnes maintains strong connections with industry through his European project work and his entrepreneurial experience. His research group likely focuses on pervasive computing applications with real-world implementations, particularly in eHealth contexts, though specific lab details aren't provided in the available information.

• History of Science
• Sustainability
• Digitalization
• +۵ مورد دیگر

Adam Wickberg is a researcher in the Division of History of Science, Technology and Environment at KTH Royal Institute of Technology in Stockholm. He serves as co-director of the VR Excellence Centre for Anthropocene History and deputy director of the KTH Environmental Humanities Lab . His work critically examines the intersections of digitalization, sustainability , and the Anthropocene , focusing on their social, political, and historical dimensions. He leads the research project The Mediated Planet: Claiming data for environmental SDGs and has held visiting positions at the Max Planck Institute for the History of Science in Berlin. Education : Not explicitly stated His research spans media studies, environmental history, critical data studies , and postcolonial science and technology studies . Key themes include: Digital twins and marine futures AI ethics for climate justice Colonial histories of environmental data Temporal dimensions of Anthropocene governance Environing media as epistemological tools Planetary datafication systems Recent publications explore how data infrastructures shape environmental governance and how historical media practices inform contemporary sustainability challenges. He has contributed to journals like New Media and Society , Nature , and Critical Inquiry , while engaging in public debates through op-eds in Dagens Nyheter and Aftonbladet . Teaching : Courses include Artificial Intelligence and Sustainable Development (AK122V), Environmental History (AK2210), and The Anthropocene (AK126V). Labs/Teams : Leads the Environmental Humanities Lab and collaborates with the WASP-HS Community .

Yang Liuمشاهده پروفایل

دانشیار

• Smart Manufacturing
• Smart Energy Systems
• Clean Energy Transition
• +۵ مورد دیگر

Yang Liu is a tenured Associate Professor at the Department of Management and Engineering , Linköping University, Sweden, and an Adjunct Professor at the University of Oulu, Finland. His expertise spans smart manufacturing, clean energy transition, and Industry 4.0 applications. He holds an M.Sc. and D.Sc. from the University of Vaasa, Finland. Research & Awards: Liu's work focuses on sustainable systems, decision support systems, and AI-driven energy efficiency. He has authored over 140 Web of Science publications, including top 0.1% ESI Hot Papers. He is ranked among the world's top 2% scientists (Stanford-Elsevier) and leads globally in 'big data analytics in manufacturing' and 'Industry 4.0-driven circular economy' research. Leadership & Projects: He leads projects like FlexSUS (EU Horizon 2020) and PERSEUS, developing tools for smart urban energy planning and 15-minute city models. He serves as Editor-in-Chief of Cleaner Engineering and Technology and Guest Editor for multiple journals. His research emphasizes bridging data science with sustainability challenges in manufacturing and energy systems. Key Achievements: Top-ranked in global citations, ESI Highly Cited Papers, and industry-driven sustainability frameworks. Grants: Leads EU-funded projects and collaborates with Siemens Energy on energy transition solutions. Labs & Teams: Part of the Environmental Technology and Management (MILJÖ) division and Unit for Product Service Innovation (MILJOPSI) at Linköping.

• Machine Learning
• Artificial Intelligence
• Data Science
• +۷ مورد دیگر

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.

Max Kochمشاهده پروفایل

استاد

• Capitalist Restructuring and Welfare
• Ecological Sustainability
• Climate Change
• +۷ مورد دیگر

Max Koch is a Professor at Lund University's School of Social Work, specializing in the intersection of social policy, ecological sustainability, and postgrowth theories. His research explores how capitalist restructuring impacts welfare, inequality, and climate action, with a focus on sustainable welfare systems and degrowth. Current projects: 'Economic Elites in the Climate Change Transformation' (PI, 2023-2028), 'Regulating the Polluter Elite' (2024-2027), 'FLYWELL' (2023-2026). Former projects: 'Postgrowth Welfare Systems' (2021-2025), 'Sustainable Welfare for a New Generation' (2020-2023). He teaches political economy, social inequality, and ecological sustainability at Lund University, directing the 'Social Policy in Europe' course. As a Visiting Scholar, he has collaborated with institutions in Spain, the Netherlands, Scotland, and Chile. His work contributes to UN Sustainable Development Goals (SDGs) related to climate action and reduced inequalities. Scientific award: Atlas Prize (2019) for degrowth research. Editorial roles: Environmental Values, advisory boards for ORSI and Collorative Future Making. Recent publications analyze planetary boundaries, postgrowth welfare models, and climate policy synergies. His research emphasizes interdisciplinary approaches combining social practices with policy innovation.

Mats Alvessonمشاهده پروفایل

استاد

• Organizational Studies
• Critical Management Studies
• Leadership
• +۱۲ مورد دیگر

Mats Alvesson is a Professor in Organizational Studies at the Department of Business Administration, School of Economics and Management, Lund University. He is actively engaged in research, teaching, and supervision at the PhD and master's levels, with a focus on critical perspectives in management and organization theory. University: Lund University School: School of Economics and Management Department: Department of Business Administration Academic Rank: Professor Email: mats.alvesson@fek.lu.se His research centers on leadership, organizational culture, identity, power, gender, knowledge-intensive firms, qualitative methods, and the philosophy of science. He is known for co-developing the concept of 'functional stupidity' and for his critical analyses of symbolic management and leadership. His recent work explores the paradoxes of meaning and emptiness in modern organizations. The 15 most recent articles and books reflect a sustained engagement with critical management studies, strategy as practice, organizational change, and reflexive methodologies. His publications span qualitative theory development, leadership critique, cultural analysis, and methodological innovation, often published with leading academic presses like Oxford University Press, Sage, and Cambridge University Press. While no specific scientific awards are listed in the provided material, his extensive publication record, high research output (231 items), and international collaborations indicate significant scholarly recognition. Mats Alvesson supervises PhD students, including Rachel Waldo, and has been involved in teaching qualitative methods, knowledge work, and organizational change. He has participated in external academic activities, such as visiting Hanken School of Economics and hosting scholars like Yiannis Gabriel. His work contributes to the UN Sustainable Development Goals in the domain of social sciences and business administration. He is currently leading a dissertation project titled 'The enchanted sense making: An exploration of employee-brand love relationships in the luxury-brand sector,' reflecting his ongoing interest in symbolic and affective dimensions of organizational life.

Johan Eklöfمشاهده پروفایل

استاد

• Marine Ecology
• Biodiversity and Ecosystem Resilience
• Environmental Change
• +۳ مورد دیگر

Johan Eklöf is a Professor at Stockholm University within the Department of Ecology, Environment and Plant Sciences . His research emphasizes marine ecology , focusing on interactions between marine biodiversity, environmental conditions (including climate), and societal impacts . He teaches courses such as Management of Aquatic Resources in the Tropics , Marine Ecology for the Biogeo Program , and Ecology II . Research Focus: Causal relationships between biodiversity and ecosystem resilience Foundation species as drivers of ecosystem services Optimizing resource management under climate change Projects: Principal Investigator for FORCE (2023-present), a transdisciplinary Baltic Sea recovery project Contributor to NordSalt (climate impacts on Nordic salt marshes) and PlantFish (Baltic Sea vegetation-fish interactions) Scientific Leadership : Supervises 2 current PhD students and co-supervises 6 additional PhD/postdocs Formerly mentored 4 PhD graduates and >40 MSc students Environmental Context: His work spans Baltic Sea and Western Indian Ocean ecosystems, using seagrass beds , mussel beds , and coastal benthic systems as primary models. Recent publications highlight climate change impacts on trophic cascades , habitat connectivity , and policy frameworks for marine conservation .

Jennifer K. Ryanمشاهده پروفایل

استاد

• Numerical Analysis
• High-Order Numerical Methods
• Discontinuous Galerkin Methods
• +۴ مورد دیگر

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.

• Numerical Analysis
• Partial Differential Equations
• Wave Propagation
• +۷ مورد دیگر

Olof Runborg is a Professor in Numerical Analysis at the Royal Institute of Technology (KTH) in Stockholm, Sweden. He works in the Division of Numerical Analysis, Optimization and Systems Theory within the Department of Mathematics at KTH. His research focuses on developing and analyzing numerical methods for partial differential equations, particularly for wave propagation problems. His educational background includes: MSc in Electrical Engineering from KTH (1992) BSc in Economics & Business Administration from SSE (1994) PhD in Numerical Analysis/Applied Mathematics from KTH (1998) Postdoc at Paris VI University (1999) Postdoc at Princeton University's Program in Applied and Computational Mathematics (2000-2001) Became Docent at NADA in 2003 Appointed Professor at KTH in 2010 Professor Runborg's research centers on the numerical treatment of partial differential equations, with special emphasis on wave propagation problems. His work spans multiple areas including high-frequency waves, multiscale phenomena, numerical homogenization, uncertainty quantification, multiresolution analysis, Gaussian beams, and mesh generation. A recurring theme in his research is developing methods to solve computationally expensive problems more efficiently while maintaining accuracy. His approach often involves coupling different numerical methods or reformulating equations to create more efficient computational approaches. His research has applications across physics and engineering domains where wave phenomena are important. An analysis of his recent publications (2015-2025) shows continued focus on high-frequency wave propagation with expanding applications to areas like the Landau-Lifshitz equation for magnetic materials and elastic wave propagation. His work bridges theoretical numerical analysis with practical computational techniques, often developing novel methods like the WaveHoltz iteration for solving the Helmholtz equation. The publications demonstrate increasing attention to uncertainty quantification and multiscale methods while maintaining strong theoretical foundations in error analysis. Professor Runborg teaches several courses at KTH including Numerical Methods (basic course), Applied Numerical Methods, Numerical Algorithms for Data-Intensive Science, and Selected Topics in Numerical Analysis II. He serves as examiner for degree projects in Scientific Computing. His teaching reflects his research expertise in numerical methods and computational mathematics, providing students with both theoretical foundations and practical implementation skills. Beyond his core research, Professor Runborg has engaged in interesting side projects, such as his analysis of 'Numbers on the Web' where he investigated the frequency of numbers 11-1000 in web content, revealing patterns related to dates, time, computer systems, and cultural phenomena. This demonstrates his broader interest in data analysis and computational approaches to understanding patterns in information.

Susanne Iwarssonمشاهده پروفایل

استاد

• Gerontology
• Occupational Therapy
• Public Health
• +۶ مورد دیگر

Susanne Iwarsson is a Professor in Gerontology and Care for Older People at Lund University's Faculty of Medicine, holding the Mary and Seved Ribbing Professorship since 2005. She also serves as Director of the Centre for Ageing and Supportive Environments (CASE) and Coordinator of the Swedish National Graduate School for Competitive Science on Ageing and Health (SWEAH). Her academic journey includes a PhD in Medical Science (1997) and promotions to Associate Professor (1999) and Professor (2003). She has held leadership roles such as Pro-dean of the Faculty of Medicine (2006-2011) and Coordinator of the strategic research area MultiPark (2012-2014). Her research focuses on environmental gerontology, housing accessibility, and proactive ageing strategies. Key contributions include the Housing Enabler assessment tool and studies on ageing populations' participation in society. She has supervised 18 PhD students and 6 licentiates, with ongoing supervision of 4 current PhD candidates. Major projects include the Home, Health and Disability longitudinal study (2002-present) and the UserAge program exploring user participation in ageing research. Awards include the Excellent Teaching Practitioner title (2010) and Doctor Honoris Causa. Her work addresses UN Sustainable Development Goals related to health, sustainable cities, and reduced inequalities. Collaborations span universities in Sweden, Finland, Latvia, and the U.S., with partnerships in healthcare and municipal sectors.