جستجوی استاد راهنمای دانشگاهی

Tobias Petterssonمشاهده پروفایل

مدرس ارشد

• Musicology
• Gender Equality in Music
• Educational Traditions
• +۴ مورد دیگر

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

• 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.

Magnus Dahlstedtمشاهده پروفایل

استاد

• Social Work
• Citizenship Formation
• Migration Studies
• +۵ مورد دیگر

Magnus Dahlstedt is Professor of Social Work at Linköping University's Department of Culture and Society (IKOS) since 2019, previously holding the same position at ISV (Institution for Social and Welfare Studies) from 2015-2019. He has been responsible for the research environment and doctoral education in Social Work at Linköping University from 2016 to 2023. His academic journey began with a PhD in Ethnicity from Linköping University in 2005, followed by becoming a docent (associate professor) in 2009 and a biträdande professor (associate professor) in 2014 before achieving full professorship in 2015. Dahlstedt's research centers on citizenship formation in contemporary society shaped by welfare policy transformations and international migration. His work examines how citizenship is concretely formed in segregated urban environments, focusing particularly on the gap between formal rights and substantive living conditions. He investigates social pedagogical efforts across public policy, education, and the non-profit sector, with special attention to vulnerable groups including young people with foreign backgrounds in urban peripheries. His methodological approach is interdisciplinary, grounded in critical power analysis, discourse analysis, and ideological critique, often involving cross-disciplinary research collaborations. His recent publications reveal consistent thematic focus on migration, social inclusion, and urban segregation, with particular emphasis on how sports can serve as tools for social purposes in marginalized communities. The research shows increasing attention to longitudinal studies of migrants' trajectories and the role of different educational contexts (high school, folk high schools, study associations) in integration processes. Dahlstedt's work demonstrates strong policy relevance, with findings frequently presented in government agency reports and informing public debate on segregation and inclusion. Researcher at Center for Community Strategies Research (2018-2021) Member of Mimerrådet, National Program for Folk Education Research (since 2014) Department Head at Remeso, Linköping University (2012-2015) Dahlstedt actively contributes to public discourse through media appearances, public lectures, and alternative writing projects including the anthology 'Brandtal' (2023) and 'Hårdare kan ingen vara' (2023), while preparing 'En professors dagbok' for publication in fall 2024. His research is funded by multiple agencies including Vetenskapsrådet, Norrköping Research and Development Fund, and the Swedish Crime Prevention Council.

Pontus Johnsonمشاهده پروفایل

استاد

• Cybersecurity
• Enterprise Architecture
• Attack Simulation
• +۳ مورد دیگر

Pontus Johnson is a Professor at the KTH Royal Institute of Technology in Stockholm, Sweden. He leads the Center for Cyber Defense and Information Security (collaborating with Swedish Armed Forces, FRA, MSB, FOI, FHS) and serves as vice director of Cybercampus Sweden since 2024. His research focuses on cybersecurity , enterprise architecture analysis , and probabilistic threat modeling , particularly through his development of the Meta Attack Language (MAL) for simulating cyber attacks on networked systems. Education: MSc in Computer Science, Lund Institute of Technology (1997) PhD in Computer Science, KTH (2002) Docent title, KTH (2007) Leadership Roles: Director, Center for Cyber Defense and Information Security (2013–present) Vice Director, Cybercampus Sweden (2024–present) Board Member, Swedish Research Council (2025–present) Deputy Chair, Swedish Royal Academy of Engineering Sciences (IVA) Board (2024–present) His work spans cybersecurity research , attack simulation methodologies , and enterprise architecture frameworks . He has developed tools like securiCAD (acquired by Google) and pwnPr3d for probabilistic threat modeling. His 15 most recent publications highlight advancements in graph-based attack simulations , automated security assessments , and AI applications in cyber defense . Scientific recognition includes: Listed among Tech Awards Sweden's 50 Most Influential People in Swedish Tech (2022, 2023) Discovery of vulnerability in the Universal Turing Machine (2021) He supervises 16 PhD students and alumni (2005–2024), including Simon Gökstorp , Jakob Nyberg , and Sotirios Katsikeas . His academic service includes over 50 program committee roles and leadership positions in international conferences. He contributes to both academic and public domains through media appearances (SVT, Aftonbladet), courses in ethical hacking , and industry collaboration via his role at Google (20% of his time). His research group Software Systems Architecture and Security (SSAS) focuses on predictive security frameworks and system-of-systems analysis.

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 .

• Immunodeficiency Diseases
• Actin Regulators in Immune Cells
• Autoimmunity
• +۳ مورد دیگر

Lisa Westerberg is a Professor of Experimental Immunology at the Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet. Her research focuses on understanding how compromised immune systems lead to immunodeficiency, autoimmunity, and hematological cancers, particularly studying the role of actin regulators in immune cell function. She leads the 'Immunodeficiency Diseases – Lisa Westerberg Group' and collaborates internationally with institutions like Harvard Medical School and the University College London. Education: PhD in Cell and Molecular Biology from Karolinska Institutet (2003), postdoc at Harvard Medical School (2009). Affiliations: Department of Microbiology, Tumor and Cell Biology; WASPSTINGS network (STINT-funded); Swedish Society for Immunology (Treasurer). Research Interests: Immunodeficiency diseases, actin cytoskeleton dynamics in immune cells, cancer immunology, and space immunology. Her lab investigates how genetic mutations in actin regulators affect immune cell communication, migration, and genomic stability. Recent projects include studying immune system adaptation in microgravity and developing therapies targeting actin regulators in cancer. Articles Trends: Recent work highlights immune cell adaptations in space environments, therapeutic modulation of actin pathways, and clonal evolution in lymphomas. Over 15 articles since 2020 explore mechanisms linking immune dysfunction to cancer and immunodeficiency. Awards: Ragnar Söderberg Fellowship, ERC Starting Grant (2019), Wallenberg Academy Fellow. Funding: Swedish Research Council, Knut och Alice Wallenberg Foundation, EU grants. Advising & Grants: Supervised over 40 students (PhD, Master’s, undergrad) since 2010. Active in training programs like the Amgen Scholars initiative. Collaborates with global teams on projects funded by VR, NIH, and international partnerships. Labs/Teams: Leads the core Immunodeficiency Diseases Group and collaborates with the Dosenovic Lab (focusing on B cell vaccine development). The group uses CRISPR, high-resolution microscopy, and single-cell sequencing to study immune mechanisms.

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.

Cyrille Arthoمشاهده پروفایل

دانشیار

• Software Engineering
• Formal Methods
• Cybersecurity
• +۵ مورد دیگر

Cyrille Artho is an Associate Professor in the Division of Theoretical Computer Science at KTH Royal Institute of Technology, actively contributing to research in formal methods, software testing, and cybersecurity. His work spans model checking, smart contract security, and concurrent systems verification, with significant contributions to tools like Java Pathfinder and Modbat. PhD from ETH Zurich (2005) with dissertation on multi-threading fault detection Teaches Software Safety and Security, Software Engineering Fundamentals, and supervises degree projects His research focuses on developing formal techniques for safety-critical systems, particularly in blockchain security and distributed applications. Recent work emphasizes smart contract verification, anomaly detection in microservices, and trusted execution environments for secure cloud analytics. The 15 most recent publications reveal a strong trend toward blockchain security (6 articles), formal verification of distributed systems (5), and novel testing methodologies (4), with increasing integration of machine learning for vulnerability detection. As chair of the FTSCS workshop series and contributor to major conferences like ASE and ICST, Artho has significantly shaped the formal methods community. His leadership in organizing workshops demonstrates commitment to advancing safety-critical systems research. Principal investigator for C3.ai DTI Cyber Safety Cage for Networks project Develops Modbat framework for model-based API testing Active in Digital Futures research initiative at KTH

• Learning Engineering
• Technology-Enhanced Learning
• Question-Based Learning
• +۱۲ مورد دیگر

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.

• Computational Materials Science
• Condensed Matter Physics
• Nanomaterials
• +۶ مورد دیگر

Paul Erhart is a Professor in Condensed Matter and Materials Theory at the Department of Physics, Chalmers University. He received his PhD from Technische Universität Darmstadt in 2006, followed by postdoctoral and staff positions at Lawrence Livermore National Laboratory from 2007, before joining Chalmers in 2011. His research bridges computational physics, materials science, and machine learning to tackle fundamental problems in materials design and characterization. Dr. Erhart's research focuses on computational materials science with particular emphasis on condensed matter physics, nanomaterials, and quantum materials. His work spans from developing computational methods like machine-learned potentials (GPUMD, neuroevolution potentials) to studying fundamental phenomena in perovskites, 2D materials, thermal transport, and plasmonics. He has pioneered approaches connecting simulation with experimental techniques through correlation functions and has made significant contributions to understanding phase transitions, defect physics, and electronic structure in complex materials systems. Analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional computational physics methods. His work increasingly focuses on developing and applying neuroevolution potentials to study thermal properties, phase transitions, and optical phenomena in materials. There's also a clear emphasis on connecting computational results with experimental observations, particularly in neutron scattering, Raman spectroscopy, and plasmonic sensing applications. His research spans fundamental materials physics to applied areas like hydrogen sensing and sustainable materials development. Dr. Erhart has contributed to numerous software packages essential to the computational materials science community, including WulffPack for Wulff constructions, Dynasor for extracting dynamical structure factors, calorine for neuroevolution potential models, and ICET for alloy cluster expansions. His collaborative work spans multiple institutions and disciplines, reflecting the interdisciplinary nature of modern materials research. His contributions to understanding perovskite materials, thermal transport phenomena, and plasmonic systems have established him as a leading researcher in computational materials science.

• Artificial Intelligence in Education
• Science Education
• Self-Regulated Learning
• +۵ مورد دیگر

Yael Feldman Maggor is a Postdoctoral Fellow at KTH Royal Institute of Technology, affiliated with the Media Technology & Interaction Design Division and the Digital Futures research center. Her work bridges educational technologies, artificial intelligence, and science education, with a focus on enhancing pedagogy through innovative tools. Research Themes: Generative AI in education, self-regulated learning, learning analytics, chemistry education, and ethical considerations in AI integration. Key Projects: Contributions to the International Journal of Science Education, development of AI-driven evaluation frameworks, and pandemic-era online teaching analysis. Methodologies: Expertise in quantitative and qualitative research, educational data mining, and design of interactive learning platforms. Recent publications emphasize cross-cultural trust in AI, generative AI applications in chemistry education, and explainable AI for teacher professional development. She co-authored studies on nanotechnology courses for educators and self-regulation strategies in online learning environments.

• Per- and polyfluoroalkyl substances (PFAS)
• Contaminant Fate Modelling
• Pollutant Dynamics
• +۶ مورد دیگر

Professor Ian Cousins is a leading researcher in the Department of Environmental Science at Stockholm University, specializing in the study of persistent organic pollutants, particularly per- and polyfluoroalkyl substances (PFAS). With over 200 peer-reviewed publications and recognition as a Highly Cited Researcher in 2018 and 2020, his work has significantly influenced environmental policy and scientific understanding of chemical pollution. BSc (Hons) in Chemistry, University of York (1989) Master's in Environmental Management, University of Surrey (1991) PhD in Environmental Science, Lancaster University (1998) Prof. Cousins' research focuses on the sources, transport, fate, and exposure pathways of contaminants in the environment, with particular emphasis on PFAS. His work combines experimental and modeling approaches to investigate how these persistent chemicals move through ecosystems, with recent studies examining sea spray aerosol transport of PFAS and their global distribution. His research has contributed to understanding PFAS as a planetary boundary issue, demonstrating that environmental contamination by these substances has exceeded safe operating limits. Prof. Cousins' extensive publication record shows a clear trend toward addressing the complex challenges of PFAS pollution, including their environmental behavior, risk assessment methodologies, regulatory frameworks, and the application of the essential-use concept for phasing out non-essential PFAS applications. His work spans fundamental environmental chemistry to policy-relevant research that has directly influenced European environmental decision-making. Highly Cited Researcher (2018, 2020) Listed among 30 EU politicians and professionals with greatest impact on European environmental policy (2023) Associate Editor of Environmental Science and Technology (2020-present) Associate Editor of Environmental Au (2021-present) Prof. Cousins actively supervises master's students focusing on organic pollutants and has coordinated major research projects including PERFORCE3, a Europe-wide doctoral training program on PFAS, and ZeroPM, targeting PFAS and persistent, mobile substances. His research has been supported by multiple European Union Horizon 2020 grants, reflecting the significance and impact of his work on global environmental challenges. He leads a research group that works closely with analytical chemists to better understand the behavior of PFAS and other contaminants, contributing to the development of evidence-based approaches for managing chemical pollution and protecting environmental and human health.

Harald Rohracherمشاهده پروفایل

استاد

• Sociotechnical transitions
• Climate change
• Sustainable development
• +۹ مورد دیگر

Harald Rohracher is a Professor at the Department of Theme (TEMA) , Linköping University , affiliated with the Theme Technology and Social Change (THEME) . His research focuses on sociotechnical transitions for climate-neutral cities , examining energy systems, digitalization, and governance strategies. Grants: Formas, Horizon Europe, Vinnova Labs: STRIPE (Sociotechnical Research on Infrastructures, Politics, and Environment), Biogas Solutions Research Center Students: Adam Svensson, Stella Huang, Gavin Nilsson Lewis, Giorgi Kankia Rohracher investigates how households , social movements , and policy frameworks interact in transformative processes. His recent work explores smart grid politics , decentralized energy systems , and urban food digitalization , emphasizing power dynamics and governance experiments. He leads projects on transdisciplinary education for climate governance, positive energy districts , and collective experimentation across Sweden and Spain. His scientific grants highlight institutional support for sustainability research, while his research teams bridge academic, governmental, and civil society actors.

• Digital Service Innovation
• Workplace Learning
• Information Systems
• +۳ مورد دیگر

Lars-Olof Johansson is a Senior Lecturer at Halmstad University's School of Information Technology, specializing in Informatics. His research focuses on digital service innovation from a learning perspective, emphasizing collaboration between diverse stakeholders and knowledge exchange in innovation processes. He is actively involved in the LeaDS research program (Learning in a Digitalized Society) and teaches in the bachelor's program 'Digital Business Development' and the master's program 'Digital Learning'. His work bridges educational methodologies and technological innovation, particularly in fostering environments where interdisciplinary learning drives successful digital service creation. Notably recognized as an 'Excellent Teacher in Informatics,' he integrates practical experience with academic rigor, contributing to both scholarly discourse and pedagogical advancements. Key projects include SESMA (2019-2021), exploring sustainable mobility solutions, and ongoing collaborations in boundary practices for ICT innovation. His publications span topics like knowledgeability in digital service innovation, ethics in autonomous systems, and collaborative learning frameworks. His awards highlight his pedagogical impact, while his research addresses systemic challenges in innovation through interdisciplinary approaches.

• Array Antennas
• Millimeter-Wave Communication
• Antenna Integration with Electronics
• +۴ مورد دیگر

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.