جستجوی استاد راهنمای دانشگاهی

Lars Erikssonمشاهده پروفایل

پژوهشگر

• Inorganic Chemistry
• Solid State Chemistry
• Crystallography
• +۴ مورد دیگر

Lars Eriksson is a researcher at the Department of Chemistry, Stockholm University, affiliated with the Faculty of Science. He is part of Gunnar Svensson's group, which focuses on solid-state inorganic chemistry, including the synthesis of energy-related compounds and their crystal structure analysis. Research interests span inorganic chemistry, solid-state chemistry, crystallography, energy applications, organic synthesis, catalysis, and chemical education. His work bridges experimental and computational approaches, with recent publications exploring molecular design for energy storage, asymmetric synthesis, triplet-to-singlet energy transfer, and pedagogical strategies in chemistry education. Trends in his research highlight applications in materials science, environmental chemistry, and educational methodologies. While no formal scientific awards are mentioned in the provided texts, his contributions include collaborative studies on catalysis, molecular structure, and student learning processes. He has no listed grants or students, but his publications emphasize tutor-student interactions and practical epistemology analysis. The research group he belongs to investigates fundamental properties of synthesized compounds, often with energy-related applications, and maintains strong ties to the broader chemistry community through peer-reviewed publications and educational studies.

• Disaster Risk Reduction
• Sustainability
• Interdisciplinarity
• +۵ مورد دیگر

Giuliano Di Baldassarre is a Professor of Hydrology and Environmental Analysis at the Department of Earth Sciences, Uppsala University , Sweden. He serves as Head of Division for LUVAL (Air, Water and Landscape Sciences) and directs the Centre of Natural Hazards and Disaster Science (CNDS) (2016–2025). His work bridges water, environment, and society through interdisciplinary methods , focusing on disaster risk reduction, climate adaptation, and sustainable development. Education : Details not explicitly provided in the text. His research examines feedbacks between human activities and hydrological processes , including floods, droughts, and reservoir management . Key themes include social-ecological systems , inequalities in water crises , and policy implications of hydrological extremes . He has pioneered sociohydrology and human-water system modeling . Recent articles highlight global drought-flood interactions , urban water inequality , climate service maladaptation , and sociohydrological modeling . His work spans Nature Sustainability , Science Advances , and Hydrological Sciences Journal . Scientific Awards : International Hydrology Prize (Volker Medal) Plinius Medal (EGU) Witherspoon Lecture Award (AGU) European Research Council Consolidator Grant He led Panta Rhei - Everything Flows (2013–2022), IAHS’s global initiative on water-society interactions. Current efforts include transdisciplinary praxis and climate risk reduction frameworks .

Matteo Magnaniمشاهده پروفایل

استاد

• Network Science
• Social Network Analysis
• Computational Social Science
• +۱۰ مورد دیگر

Matteo Magnani is a Professor in the Division of Computing Science at the Department of Information Technology, Uppsala University. He leads the Uppsala University Information Laboratory and is a founding member of the Uppsala University Computational Social Science Lab. His research spans network science, artificial intelligence, data science, and computational social science, with a focus on social data mining and multilayer networks. PhD in Computer Science, University of Bologna, 2006 Graduated with honours in Information Sciences, University of Bologna, 2002 Studies in Computer Science at University of Marne la Vallée and Imperial College London Matteo Magnani's research interests include social network analysis, multilayer and probabilistic networks, community detection, visual analytics, and the application of AI to digital media and climate communication. His work bridges computer science and social sciences, particularly in analyzing online discourse and digital intermediaries. He has contributed significantly to the understanding of network structures, uncertainty in networks, and the ethical dimensions of algorithmic analysis. His recent publications highlight trends in fairness in community detection, visual saliency in network layouts, emotional reactions to climate visuals online, and deep learning applications in social media. Topics frequently involve YouTube, Twitter, and online public debates, using advanced network and machine learning methods. Rotary Prize for best student of the Science Faculty Best Paper Award Funniest Presentation Award Best Poster Award Pedagogical Prize from UTN Distinguished University Teacher (Sweden) Docent title (Sweden) Magnani has supervised numerous students and collaborated widely, particularly with Luca Rossi, Alexandra Segerberg, and Davide Vega. He has secured funding from major sources including VR, H2020, STINT, and MIUR. He leads active research labs focused on information systems and computational social science, fostering interdisciplinary collaboration and innovation in network-based research.

• Fluid Mechanics
• Non-Newtonian Fluids
• Multiphase Flow
• +۴ مورد دیگر

Outi Tammisola is a Professor at KTH Royal Institute of Technology, specializing in Fluid Mechanics within the Department of Mechanics. Her research focuses on non-Newtonian fluids, viscoelasticity, multiphase flows, and microfluidics. She is actively involved in teaching and course coordination for mechanics and fluid dynamics courses, including Mechanics I, Mechanics II, and Wave Motion and Hydrodynamic Stability. Her work bridges numerical methods, experimental validation, and industrial applications, with a strong emphasis on understanding complex fluid behaviors in both theoretical and applied contexts. Dr. Tammisola’s research interests span topics such as elastoviscoplastic fluids, particle migration in microchannels, and interfacial phenomena in viscoelastic systems. Her recent publications address challenges in multiphase flow dynamics, including droplet coalescence, bubble migration, and the rheology of non-Newtonian fluids. She contributes to advancements in numerical methods, such as phase-field modeling and immersed boundary techniques, to simulate complex fluid-structure interactions. Her articles highlight trends in understanding fluid behavior under extreme conditions, such as high aspect ratio microchannels and porous media. Collaborations with experimentalists and computational scientists ensure her work remains both innovative and grounded in real-world applications. While no scientific awards are explicitly mentioned, her extensive publication record reflects significant contributions to the field of fluid mechanics. Outi Tammisola is also engaged in academic leadership, overseeing degree projects and contributing to the development of educational programs at KTH. Her research group likely explores cutting-edge topics in microfluidics and viscoelastic turbulence, though specific lab or team affiliations are not detailed in the provided texts.

Mattias Dahlbergمشاهده پروفایل

استاد

• Financial Law
• Tax Law
• International Tax Law
• +۹ مورد دیگر

Mattias Dahlberg is a Professor of Financial Law at the Department of Law, Uppsala University. He holds a PhD and JD, and is actively engaged in research and publication in the field of tax law. His academic work is centered on international and EU tax law, with a strong focus on treaty interpretation, corporate taxation, and fundamental freedoms within the European Union. His research interests include international tax law, EU tax law, double taxation, tax treaties, CFC legislation, capital income taxation, and investment fund taxation. He has extensively analyzed the interplay between domestic tax laws and EU law, particularly in areas concerning freedom of establishment, free movement of capital, and cross-border corporate restructuring. His work often takes the form of legal commentary, case analysis, and policy reports, contributing to both academic and practical understanding of complex tax issues. The trends in his recent publications (2019–2025) show a continued focus on EU court jurisprudence, especially rulings related to the freedom of establishment, merger directive, and interest deduction limitations. He frequently contributes to Skattenytt and Tax Notes International , providing expert commentary on Swedish and international tax developments. His work bridges academic rigor with practical policy relevance, particularly in the context of Swedish tax law and its alignment with EU obligations. Mattias Dahlberg has authored or co-authored several books, including Juridikens termer (2015) and Internationell beskattning (multiple editions). He has also contributed book chapters on topics such as the taxation of foreign passive income, dispute settlement in tax treaty law, and tax competition in Europe. His 2022 edited volume De Lege 2021. Law, AI, and Digitalisation (with Katja de Vries) indicates an emerging interest in the intersection of law, technology, and digitalization. Mattias Dahlberg has collaborated with other scholars such as Bertil Wiman, Nina Block, and Ali Sina Önder. Notably, he co-authored a 2014 report on the taxation of cross-border labor income in the Öresund Region. He has not listed any formal advising of students in the provided text, nor are any grants or scientific awards mentioned. There is no information about labs or research teams he may lead.

Jonas Monié-Nordinمشاهده پروفایل

دانشیار

• Sámi Archaeology
• Global Historical Archaeology
• Critical Cultural Heritage Studies
• +۶ مورد دیگر

Jonas Monié-Nordin is an Associate Professor at Stockholm University's Department of Archaeology and Classical Studies , specializing in Sámi archaeology , global historical archaeology , and critical cultural heritage studies . His research spans from the High Middle Ages to contemporary societal issues, with particular focus on resource colonialism in Sápmi and Scandinavia's role in early modern globalization. Academic Credentials: PhD in Archaeology (2005, Stockholm University), Docent in Historical Archaeology Ongoing Project: Shared Spaces – Separated Past? (Swedish Science Board funded) investigating Sámi history in Central Scandinavia His interdisciplinary methodology combines material culture analysis, landscape archaeology, and historical source criticism. Recent fieldwork includes excavations of Sámi settlements in Dalarna, Hälsingland, and Uppland. He co-edited Scandinavian Colonialism and the Rise of Modernity (Springer 2013) and authored The Scandinavian Early Modern World (Routledge 2020). Beyond academia, he serves on the Truth Commission for the Sámi People (KU2021.02) and contributes to public debates through media outlets like Dagens Nyheter and Svenska Dagbladet . His work demonstrates how archaeology bridges historical injustice and contemporary reconciliation processes.

Marco L. Della Vedovaمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence and Machine Learning
• Interpretable and Explainable AI
• Geospatial AI
• +۷ مورد دیگر

Marco L. Della Vedova is a Senior Lecturer in Applied Artificial Intelligence at Chalmers University of Technology, Sweden. He works in the Vehicle Engineering and Autonomous Systems division within the Department of Mechanics and Maritime Sciences, as part of Prof. Mattias Wahde's research group. Since 2025, he has served as Director of the Data Science and AI master's programme (MPDSC) at Chalmers, where he teaches courses including Introduction to Artificial Intelligence and Digitalization in Sports. Dr. Della Vedova earned his academic foundation at the University of Pavia, Italy, where he completed his BSc (2006), MSc (2009), and PhD (2013) in Computer Engineering. His doctoral research focused on "Real-Time Physical Systems and Electric Load Scheduling" under Prof. Tullio Facchinetti. During his PhD studies, he spent a year at U.C. Berkeley hosted by Prof. Francesco Borrelli at the Model Based Predictive and Distributed Control Lab. His research spans multiple AI domains with a strong emphasis on interpretability. Dr. Della Vedova develops interpretable methods for conversational AI, naturalness evaluation of forests using canopy height models, and geospatial applications. His work bridges theoretical AI with practical societal benefits, particularly in environmental monitoring, transportation systems, and orienteering. He has previously contributed to cloud computing, hate speech detection, and cyber-physical energy systems, demonstrating his interdisciplinary approach to AI research. Dr. Della Vedova's publication record reveals a consistent trajectory of impactful research across multiple domains of artificial intelligence. His recent work shows a strong focus on interpretability in AI systems, with significant contributions to natural language processing, geospatial analysis, and causal inference. The research demonstrates both theoretical depth and practical applications, particularly in environmental monitoring and social media analysis. His methodology often combines traditional machine learning approaches with novel interpretability techniques, creating bridges between complex AI systems and human understanding. Dr. Della Vedova has received several prestigious recognitions for his work: Best PhD thesis award from the Order of the Engineers of Bergamo (2013) Italian champion of Il Cervellone (2012) Top Italian performer in IEEEXtreme 6.0 programming competition (148th overall globally, 2012) Premio Arturo Schena award from Fondazione Credito Valtellinese (2010) With over 50 students supervised through bachelor's and master's theses, Dr. Della Vedova has established himself as a dedicated mentor in the AI community. His current PhD students include Minerva Suvanto working on interpretable NLP and Vivien Lacorre developing AI for railway infrastructure inspection. His supervision spans diverse topics from forest naturalness evaluation to hate speech detection and transportation optimization. Beyond formal supervision, he actively contributes to educational initiatives including serving as Director of Chalmers' Data Science and AI master's program and developing innovative teaching methods that connect theoretical concepts with real-world applications. Dr. Della Vedova is deeply embedded in both academic and professional communities. He leads the Applied Artificial Intelligence research group at Chalmers while maintaining strong connections with European research networks through projects like the ERASMUS+ EUrienteering initiative. His interdisciplinary approach is reflected in collaborations across computer science, environmental science, and social sciences. Notably, he applies his AI expertise to orienteering both as a researcher developing localization methods and as a licensed Event Advisor for the International Orienteering Federation, demonstrating how his professional and personal interests converge in innovative ways.

Mattias Villaniمشاهده پروفایل

استاد

• Bayesian Statistics
• Machine Learning
• Computational Methods
• +۳ مورد دیگر

Mattias Villani is Professor of Statistics at Stockholm University, specializing in Bayesian statistics and machine learning. He obtained his PhD in Statistics from Stockholm University in 2000 and has held positions at Sveriges Riksbank and Linköping University. Villani develops computationally efficient Bayesian methods for inference, prediction and decision-making with flexible probabilistic models. Research Interests: His work spans Bayesian computation (MCMC, HMC, variational inference), machine learning (Gaussian processes, mixture models), and applications in neuroimaging, transportation, and econometrics. Research focuses on scalable Bayesian methods for large datasets and complex models. Publication Focus: Recent articles concentrate on Bayesian neuroimaging analysis, transportation network modeling, and efficient MCMC algorithms. Methodological innovations in subsampling techniques for large-scale Bayesian computation represent a significant research trend. Student Advising: Supervises PhD students in statistical methodology development and applications. Current research groups focus on spatiotemporal modeling, locally stationary processes, and neuroimaging statistics.

• Visualization
• Computer Graphics
• Flow Visualization
• +۳ مورد دیگر

Tino Weinkauf is a Professor of Visualization and Head of the Division of Computational Science and Technology at KTH Royal Institute of Technology in Stockholm. His work bridges computer science and applied mathematics, with a focus on visualization and topological data analysis. He leads research in visualizing complex data from fields like fluid dynamics, neurobiology, and human-computer interaction. Education: Ph.D. in Computer Science (not explicitly stated in provided texts, but inferred from career trajectory). Research interests include flow visualization, topological methods for data analysis, and interactive visualization techniques. He develops tools like the TopoInVis Toolkit (TTK) and contributes to infrastructure such as the Swedish Research Infrastructure for Visualization Support (InfraVis). His work emphasizes applications in turbulence modeling, biomedical imaging, and user-centered design. Teaching: Responsible for courses such as Advanced Topics in Visualization and Computer Graphics , Information Visualization , and Introduction to Visualization and Computer Graphics . Supervises degree projects in Computer Science and Engineering across specializations like Machine Learning and Interactive Media Technology. Publications focus on topological data analysis, flow segmentation, and algorithm optimization. Notable projects include binary segmentation of turbulent flows and interactive reward tuning systems for preference elicitation. Labs/Teams: Leads the Division of Computational Science and Technology at KTH, fostering interdisciplinary research in computational methods and visualization technologies.

Marco Bianchiمشاهده پروفایل

مدرس ارشد

• runology
• historical sociolinguistics
• textual research
• +۲ مورد دیگر

Marco Bianchi serves as Senior Lecturer and Head of the Department of Nordic Languages at Uppsala University, where he also acts as Proinspector at Gotland Nation. His academic leadership extends to editorial roles as Editor of Futhark: International Journal of Runic Studies and member of the Samnordisk runetext database committee. His educational trajectory includes a PhD in Nordic Languages from Uppsala University (2010) and a lic.phil. degree in general history, Old Norse philology, and comparative Old Germanic linguistics from the University of Zurich (2003). PhD in Nordic Languages, Uppsala University (2010) lic.phil. in History/Old Norse/Comparative Germanic Linguistics, University of Zurich (2003) Bianchi's research centers on runology, historical sociolinguistics, and Germanic language history, with particular emphasis on textual boundaries and sociocultural contexts of runic inscriptions. His current Eternity Runes Project investigates interdisciplinary connections between epigraphy, semiotics, and Viking Age communication practices, revealing how runestones functioned as social media in early Scandinavian societies. Methodologically, he bridges digital humanities with traditional philological analysis to decode multilinear inscriptions and para-graphic elements. His 12+ publications since 2007 demonstrate consistent focus on runic studies, evolving from technical analyses of inscription boundaries (2012) to contemporary digital corpus management (2022). Key thematic clusters include sociolinguistic interpretations of runestones, editorial standardization for international databases, and critical reassessments of historical runology pioneers like Otto von Friesen. Bianchi actively shapes the field through graduate supervision and editorial stewardship, mentoring students like Sonja Entzenberg and Simon Karlin Björk while guiding Futhark 's publication strategy. His work receives international recognition through citations in Wikipedia and academic discourse, though formal awards aren't documented.

Yvonne Hallessonمشاهده پروفایل

دانشیار

• Subject Literacy
• Reading Development
• Writing Development
• +۴ مورد دیگر

Yvonne Hallesson is an Associate Professor and Senior Lecturer in Swedish at Uppsala University's Department of Nordic Languages, where she serves as Director of Studies for postgraduate education. Her research centers on subject literacy, focusing on students' reading and writing development through school texts across disciplines. Her academic qualifications include: Associate Professor of Swedish, Uppsala University (2021) Senior Lecturer in Swedish Language, Uppsala University (2019–present) Senior Lecturer in Didactics with focus on Swedish, Uppsala University (2016–2019) PhD in Language Didactics, Stockholm University (2015) Licentiate in Educational Science, Stockholm University (2011) Master of Education in Swedish and English, Stockholm University of Education (1999) Hallesson investigates the relationship between language and learning, particularly how students develop subject-specific literacy through text work in social sciences and other disciplines. Her research examines reading comprehension strategies, writing development, and the integration of national minority languages in educational contexts. She analyzes how text properties affect learning across different school subjects and student demographics. Her recent publications reveal consistent focus on subject literacy development, with particular attention to reading comprehension in social sciences and representation of national minority languages in textbooks. Her work demonstrates strong methodological emphasis on discourse analysis and classroom-based research, often involving collaborative teacher-researcher partnerships to bridge theory and practice. Hallesson supervises doctoral students including Jim Stefansson (main supervisor) and Linnea Wenell (assistant supervisor), and mentors numerous graduate students. She has secured significant research funding from the Swedish Research Council for projects including "Läsmetoder under lupp" (2022) and the current "Building subject knowledge in text" (2025-2027). She actively contributes to academic governance as board member of the Department of Nordic Languages and the research network SMDI, and coordinates Uppsala University's subject didactic network for Swedish and Swedish as a second language. She also represents the Swedish Teachers' Association in the Language Care Group.

Mehdi Tarkianمشاهده پروفایل

دانشیار

• Design Automation
• Machine Learning
• Optimization
• +۵ مورد دیگر

Mehdi Tarkian is a Senior Associate Professor at Linköping University within the Department of Management and Engineering (IEI) , focusing on the Product Realisation division. His research and teaching emphasize Design Automation, leveraging methods like Knowledge-Based Engineering (KBE), Machine Learning, and Optimization. He co-founded the spin-off company XperDi in 2012, based on his research, and returned to LiU full-time in 2017. Current research projects include AutoPack (ML-driven CAD automation), ADAPT (design automation for production preparation), and DeProtion (construction sector design automation). He teaches courses such as Collaborative Multidisciplinary Design Optimization (TMKT79) and Product Modeling (TMKT57) , both highly rated by students. Publications highlight advancements in optical character recognition (OCR) for engineering drawings, reinforcement learning in unstructured production environments, and automated fixture design. His work bridges academic research with industrial applications, aiming to reduce repetitive tasks and enhance engineering intuition. He is part of the Automation Lab and the Unit of Machine Design and Industrial Production (PRODKOP) , collaborating with industry partners to translate research into practical solutions.

• Self-Service Business Intelligence
• Data-Driven Organizations
• Information Systems
• +۳ مورد دیگر

Christian Lennerholt is a Senior Lecturer in Information Systems Development at the School of Informatics, University of Skövde, Sweden. His work focuses on bridging theoretical research with practical implementation in business intelligence and data-driven decision making, with significant contributions to understanding implementation challenges in organizational contexts. Dr. Lennerholt completed his doctoral studies in 2022 with the thesis "Facilitating the Implementation and Use of Self Service Business Intelligence." His academic journey includes extensive research in information systems, with publications spanning from 2007 to the present day. His primary research interests center on Self-Service Business Intelligence implementation challenges, particularly examining user-related issues, data quality concerns, and organizational readiness factors. Dr. Lennerholt investigates how technology adoption intersects with human factors and organizational structures to determine the success or failure of business intelligence initiatives. Analysis of Dr. Lennerholt's publication history reveals a consistent trajectory from foundational work on IT outsourcing relationships (2007-2009) toward specialized research on Self-Service Business Intelligence. His most recent work demonstrates increasing sophistication in addressing complex implementation challenges through frameworks like AQUIRE, while maintaining practical relevance for organizational practitioners. Dr. Lennerholt currently leads the "Real-time environmental feedback" project (2023-2025), investigating how real-time data can reduce municipal resource consumption. Previously, he contributed to the "Resilient payment system" project (2016-2021), which examined collective action strategies during payment system disruptions across multiple societal sectors. His academic contributions include numerous publications in reputable journals and conferences, with particular focus on implementation challenges, user adoption barriers, and practical frameworks for successful business intelligence deployment. Dr. Lennerholt has also made significant contributions to understanding information security in municipal contexts and innovative approaches to academic teaching and student throughput.

Linn Axelssonمشاهده پروفایل

مدرس ارشد

• eco-social transformation
• border studies
• migration
• +۷ مورد دیگر

Linn Axelsson is a Senior Lecturer (Docent) at the Department of Human Geography, Stockholm University, where she conducts research on migration, borders, and labor geography. Her work focuses on understanding the complex relationships between migration governance, border practices, and the experiences of migrants across various economic sectors and national contexts. Dr. Axelsson's research interests span several interconnected areas of human geography. She investigates eco-social transformation , examining how environmental and social changes intersect in contemporary societies. Her work on border studies and migration explores the evolving nature of borders beyond traditional territorial boundaries, analyzing how borders are performed and experienced in everyday life. In labour geography and precarious work , she examines the conditions of migrant workers across various sectors including agriculture, IT, and restaurant industries. Her research on digital geography and place-making investigates how digital technologies reshape spatial practices and experiences. Her recent publications demonstrate a consistent focus on the temporal and spatial dimensions of migration governance. Axelsson's work reveals how borders operate not just as physical barriers but as complex processes that unfold over time and across space. She has made significant contributions to understanding migration intermediaries, showing how state and non-state actors co-produce regulatory spaces for labor migration. Her research on Thai berry pickers in Sweden has illuminated the precarious working conditions in this sector while also revealing the motivations behind repeated migration. Similarly, her studies of Chinese restaurant workers and IT professionals in Sweden have uncovered the temporal dimensions of migrant experiences, particularly the concept of 'waiting' as a fundamental aspect of migration. Dr. Axelsson has led and participated in multiple research projects including 'Agents of migration,' 'Digital Nature,' 'Border topologies,' 'Language and Life-Course,' and 'Wild berry shifting.' These projects have been funded through various academic grants, though specific funding sources aren't detailed in the available information. While student supervision isn't explicitly mentioned in the provided text, her active research program suggests involvement in mentoring graduate students. Her work on border topologies has been particularly influential, introducing conceptual frameworks that help understand how time and space work together to shape migrant experiences. Axelsson's research bridges theoretical innovation with empirical depth, often drawing on extensive fieldwork and interviews with migrants across different sectors and national contexts.

Kristina Lundbladمشاهده پروفایل

دانشگاهی

• Book History
• Graphic Communication
• Cultural History
• +۵ مورد دیگر

Kristina Lundblad is a Senior Lecturer and Associate Professor in Book History at the Department of Arts and Cultural Sciences, Lund University, Faculty of Humanities and Theology. She has been active in teaching, supervision, and course development since 2002, alongside a 20-year career as a literary critic. Core Research: Focuses on human-material meaning-making in graphic communication. Current Projects: International book politics, early print culture in southern Sweden, a book on ephemera, and an introduction to book history textbook. Research Trends: Her recent work explores the intersection of historical printing techniques (e.g., 15th–16th century Swedish printers' marks), typewriter culture, and modern communication shifts. Key Themes: Material culture, cultural complexity, documentary practices, and analog-digital transitions. Scientific Awards: Bokhistoriska Sällskapets Pris (2022) Svenska Akademiens franska stipendium (2021) DeLong Book History Prize (2016) Stina och Erik Lundbergs Stiftelse (2013) Näringslivets fond för humanistisk forskning (2011) Advising & Networks: Supervises PhD students Moa Uhlmann Lindberg and Roxane Heberling. Co-founder of the Research Node for Studies in Analog Culture (2016–) and Digital Cultures Research Node (2015–).