جستجوی استاد راهنمای دانشگاهی

Professor Dan Zenkert is a faculty member at Kungliga Tekniska Högskolan (KTH) in the Department of MATERIAL AND STRUCTURAL MECHANICS. He earned his M.Sc. (Aeronautics) and Ph.D. (Lightweight Structures) from KTH, becoming a docent (D.Sc.) in 1996, associate professor in 1998, and full professor in 2001. His research focuses on multifunctional composite materials, particularly carbon fiber-based systems for energy storage (structural batteries), shape-morphing composites, integrated sensing, and energy harvesting. Collaborations with Electrochemistry and Polymer Chemistry groups drive innovations in structural batteries, where materials simultaneously bear mechanical loads and store energy. He teaches courses on lightweight structures and composite mechanics. Research highlights include structural battery design using laminated carbon fiber electrodes, piezo-electrochemical sensing via Li-ion intercalation, and shape-morphing composites through electrochemical actuation. Recent work explores electrolyte optimization, LiFePO₄-coated electrodes, and long-term performance of multifunctional systems. Publications span over 30 years, with contributions to journals like Composites Science and Technology and Advanced Energy & Sustainability Research . His teaching includes roles as examiner and course responsible for programs like Fibre Composites and Future Sustainable Aviation. Personal interests include fly-fishing, motorcycle riding, and basketball coaching. Scholarly contributions include over 130 peer-reviewed articles and book chapters, with active involvement in conferences like ICCM and ECCM.

• Multifunctional Composites
• Structural Battery Composites
• Carbon Fiber Electrodes
• +۵ مورد دیگر

Sven Bölte is a Professor at Karolinska Institutet where he leads the research group focused on Autism, ADHD and other developmental neurological conditions as part of the Center for Neurodevelopmental Disorders (KIND). His work bridges clinical research, education, and practical implementation of evidence-based approaches for neurodevelopmental conditions. Professor Bölte's research spans multiple domains within neurodevelopmental disorders, with particular emphasis on implementing the International Classification of Functioning, Disability and Health (ICF) Core Sets for autism and ADHD using digital solutions. His group has developed and evaluated social skills training programs (KONTAKT, SKOLKONTAKT, iKONTAKT) for autistic children and adolescents, conducted twin research through the Roots of Autism and ADHD Twin Study in Sweden (RATSS), and advanced diagnostic instruments for autism, ADHD, social cognition, and adaptive behavior. His recent publications reveal a strong focus on translating research into practice, with significant work on strengths-based approaches, social inclusion, neurodiversity-affirmative assessment, and the development of practical tools for clinicians and educators. The research demonstrates increasing attention to adult experiences of autism, cross-cultural validation of interventions, and the integration of digital technology in assessment and intervention. Bölte's group also delivers extensive educational components for professionals through KI-Utbildning (Assignment Education), making it one of the largest providers of training on diagnosis and support for individuals with developmental neurological conditions within Karolinska Institutet. His work frequently addresses policy implications, as evidenced by participation in Swedish parliamentary discussions about autism and ADHD.

• Autism Spectrum Disorder
• ADHD
• Neurodevelopmental Disorders
• +۶ مورد دیگر

Malin Broberg is a Professor in Psychology and the current Vice-Chancellor (since 2023) and President of the University of Gothenburg. She was previously Dean of the Faculty of Social Sciences at the same institution. Educated at Umeå University, she is a licensed psychologist with a clinical background in child and youth habilitation. Her research focuses on: Welfare systems for families with disabled children Stress coping mechanisms Neurodevelopmental impacts of brain damage in children Augmentative and Alternative Communication (AAC) Parental well-being and resilience Recent publications (2024-2023) highlight her work in neuropsychology, health-promoting learning environments, and AAC interventions for children with profound disabilities. She has collaborated with researchers in Sweden and the USA, and her work appears in journals like Child Neuropsychology and Disability and Rehabilitation-Assistive Technology . Malin Broberg has supervised doctoral and Master’s theses in developmental psychology and disability research. She has also served as General Secretary of the International Association for the Scientific Study of Intellectual and Developmental Disabilities (IASSIDD).

• Developmental Psychology
• Disability Studies
• Family Welfare Systems
• +۶ مورد دیگر

Zelmina Lubovac is a Senior Lecturer in BioInformatics at the School of Bioscience, University of Skövde. She serves as both a Course Coordinator for multiple undergraduate and graduate courses in bioinformatics and a Programme Coordinator for Master's level programs. Her academic work focuses on the intersection of computational methods and biological applications, particularly in disease analysis and biomarker discovery. Dr. Lubovac's research spans several key areas in bioinformatics and systems biology: Disease module identification in complex biological networks Multi-omics integration (genomics, proteomics, metabolomics) for biomarker discovery Machine learning applications in RNA-seq and other high-throughput biological data Development of bioinformatics software tools for network analysis miRNA analysis in cancer and neurological disorders Her recent publications (2022-2024) demonstrate a strong focus on applying computational approaches to understand disease mechanisms, particularly in pancreatic cancer and multiple sclerosis. She has developed several widely-used bioinformatics tools including MODalyseR, MODifieR, and TFTenricher that facilitate disease module analysis and gene network interpretation. Her work often involves collaborative research with clinical teams to translate computational findings into potential diagnostic applications. Dr. Lubovac has been involved in significant research projects including: BIO-AID (Biomedical AI-driven data analytics): Oct 2020 - Sep 2024 Systems Biology DMDPipe: Mar 2018 - Feb 2021 She actively contributes to both undergraduate and graduate education at the University of Skövde, coordinating multiple courses and programs in bioinformatics and bioscience, with a clear emphasis on preparing students for careers at the intersection of biology and computational science.

• Bioinformatics
• Systems Biology
• Disease Module Identification
• +۶ مورد دیگر

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

Eleni Stavrinidou serves as Senior Associate Professor and Head of Unit at Linköping University's Department of Science and Technology within the Faculty of Science and Engineering. She is Principal Investigator at the Electronic Plants research group within the Laboratory of Organic Electronics (LOE), where she leads groundbreaking research at the intersection of plant biology and electronics. Her educational background includes: Bachelor's degree in Physics (2008) from Aristotle University of Thessaloniki, Greece Master's degree in Nanotechnology (2010) from Aristotle University of Thessaloniki, Greece PhD in Microelectronics (2014) from École Nationale Supérieure des Mines de Saint-Étienne, France Stavrinidou's research focuses on developing bioelectronic devices for plant science with applications in sustainable food production and enhancing plant resistance to environmental stress. Her work explores the integration of electronic circuits within living plants, creating what she terms 'Electronic Plants.' She envisions technologies that enable new discoveries in plant biology while developing next-generation biohybrid systems that combine living and artificial components. Her research spans plant physiology, organic electronics, energy storage in biological systems, and sustainable technological concepts that harness nature's own processes. Her publications demonstrate a clear trend toward developing practical applications of plant bioelectronics, with recent work focusing on energy harvesting from plant motion, glucose-sensitive biohybrid roots, and molecular delivery systems within plants. These studies bridge plant science, materials engineering, and sustainable technology development. Notable scientific recognition includes: ERC Starting Grant (2021) Tage Erlander Prize for Natural Sciences and Technology (2023) L'ORÉAL-UNESCO For Women in Science prize (2019) Future Research Leaders grant from Swedish Foundation for Strategic Research (2020) Marie Skłodowska-Curie Fellowship (2016) Stavrinidou has secured significant research funding including a Swedish Research Council Starting Grant, an EU FET-OPEN grant (which she coordinated), and the ERC Starting Grant for her 4D-PhytoHybrid project. Her research group has developed innovative technologies such as implantable organic electronic ion pumps for hormone delivery in plants, electrically conductive 'soil' for hydroponics, and methods for storing energy in plant roots. She collaborates extensively with the Umeå Plant Science Center and participates in the EU's Horizon 2020 program through the HyPhOE initiative. As leader of the Electronic Plants group at the Laboratory of Organic Electronics, Stavrinidou directs research that follows two main avenues: incorporating electronic circuits into plants for energy storage applications, and developing bioelectronic devices to influence plant functions for greater environmental stress resistance. Her team has achieved notable breakthroughs including creating electronic circuits within rose vascular systems and developing methods to store energy in living bean plants.

• Plant Bioelectronics
• Organic Electronics
• Biohybrid Technologies
• +۵ مورد دیگر

Elina Rönnberg is a Professor and Deputy Head of Department at the Department of Mathematics, Linköping University, where she leads research in discrete optimisation and intelligent decision-making. Her work bridges theoretical method development and real-world applications in sectors such as healthcare, aviation, mining, and transportation. She is actively involved in the Wallenberg AI, Autonomous Systems and Software Program (WASP) and has collaborated with industry leaders like Saab and Scania. Her research focuses on advanced optimisation techniques including Dantzig-Wolfe decomposition, Lagrangian relaxation, column generation, branch-and-price, and logic-based Benders decomposition. She also explores hybrid methods combining mathematical programming with constraint programming and machine learning. Applications span nurse rostering, electric vehicle routing, aircraft arrival scheduling, and underground mine planning. Recent publications highlight a strong trend toward integrating AI and machine learning—particularly graph neural networks—with classical optimisation frameworks to accelerate solution methods. Her work emphasizes practical impact, robustness, and scalability in solving complex scheduling and resource allocation problems. Nurse Rostering with Strategic Planning of Skills for Sick-Leave Robustness (2024) Pricing for the EVRPTW with Piecewise Linear Charging (2024) Speeding Up Logic-Based Benders Decomposition with Graph Neural Networks (2024) Elina supervises several PhD students and has co-supervised doctoral research at international institutions including Makarere University (Uganda) and the University of Exeter (UK). She has contributed to applied projects through student theses in collaboration with Scania and Saab, focusing on electric vehicle routing and search-and-rescue optimisation. She previously served as a Specialist in Optimisation at Saab Aeronautics (2014–2020) and co-founded Schemagi, a scheduling tool aimed at improving quality in healthcare. She teaches courses such as Introduction to Optimization (TAOP07) and Project - Applied Mathematics (TATA62). Her research group, 'Mathematics and algorithms for intelligent decision-making,' operates within the Division of Applied Mathematics (TIMA) at the Department of Mathematics. The team develops decision support tools that enhance efficiency and sustainability in complex systems, particularly under the growing demands of electrification and digitalisation in transport and logistics.

• Discrete Optimisation
• Mathematical Optimisation
• Scheduling
• +۱۸ مورد دیگر

Tommy Lundberg is a Senior Lecturer and Docent in Physiology at Karolinska Institutet. He works at the Department of Laboratory Medicine, Division of Clinical Physiology. His email address is tommy.lundberg@ki.se, and his postal address is H5 Laboratoriomedicin, H5 Klinisk Fysiologi Gustafsson, 141 52 Huddinge. Lundberg is affiliated with the university library and has held positions since 2022. Research Interests: Lundberg's research focuses on skeletal muscle mass and function adaptation, particularly in athletic performance, disease contexts, aging, and transgender individuals undergoing hormone therapy. He investigates molecular, metabolic, morphological, and functional responses to resistance and aerobic exercises. His work also explores biological maturity selection biases in youth sports, bio-banding applications in soccer and ice hockey, and the impact of anti-inflammatory drugs on muscle hypertrophy. Article Trends: Lundberg's recent publications (2025–2024) cover topics like sex differences in disc golf, muscle atrophy in space exposome, longitudinal hormone therapy effects in transgender individuals, and bio-banding in youth sports. Earlier works delve into molecular pathways in muscle hypertrophy, concurrent training effects, mitochondrial function, and imaging techniques (CT/MRI) for muscle assessment. Scientific Recognition: Most prominent young researcher in Sport Science, Swedish Central Association for Sport Promotion (SCIF), 2017 Teaching and Editorial Roles: Lundberg teaches human physiology and sports science in nursing, physiotherapy, and biomedical analytics programs. He leads a contract education course in advanced exercise physiology and contributes to a PhD course on scientific writing. He is an Associate Editor for Frontiers in Physiology - Exercise Physiology (2022) and a member of the editorial board for Translational Exercise Biomedicine (2024). Collaborations and Expertise: He collaborates with the Swedish Football Association and Swedish Ice Hockey Association on bio-banding studies. Lundberg served as an invited speaker at the ACSM Annual Meeting (2024) on transgender athletes and as an expert panelist for World Rugby's transgender workshop (2020). His supervision includes Andrea Tryfonos (2021) and thesis evaluations at Mid Sweden University and Linköping University.

• Physiology
• Sports Science
• Molecular Biology
• +۳ مورد دیگر

Andreas Abel is a Senior Lecturer in the Division of Computing Science at the Department of Computer Science and Engineering, Chalmers University of Technology and the University of Gothenburg. He has previously served as an Assistant Professor at Ludwig-Maximilians-Universität (LMU) Munich and has been a visiting researcher at INRIA in Paris. His primary affiliations are with Chalmers and the University of Gothenburg, where he conducts research and teaches in programming languages and type theory. Chalmers University of Technology, Department of Computer Science and Engineering, Senior Lecturer University of Gothenburg, Division of Computing Science LMU Munich, Assistant Professor (former) INRIA Paris, Visiting Researcher Abel’s research lies at the intersection of type theory, functional programming, and formal verification. He is particularly known for his work on dependent types, normalization by evaluation, and the development of the Agda proof assistant. His interests include constructive logic, logical frameworks, modal and linear typing, program verification, and compiler construction. He leads the Modal Dependent Type Theory project funded by the Swedish Research Council (Vetenskapsrådet) and has contributed to several other major research initiatives in programming language theory. His recent publications reflect a strong focus on foundational aspects of type systems, including cubical type theory, decidability of conversion, and formalization of algebraic completeness. These works appear in top-tier venues such as ICFP, LICS, POPL, and TYPES, showcasing both theoretical depth and practical implementation in Agda. Distinguished Paper Award, ICFP 2019 Editor, Theoretical Pearls column, Journal of Functional Programming Member, IFIP WG 1.3 on Foundations of System Specification Abel actively supervises students and contributes to the research community through program committee memberships for major conferences including LICS, ICFP, and CPP. He is a senior developer of Agda and the maintainer of the BNFC (Backus-Naur Form Compiler) tool. His work bridges theoretical computer science with practical software development for formal methods. He is involved in several research groups and projects, including the Programming Logic Group at Chalmers and the international EUTYPES network. His role as principal investigator and core contributor in multiple funded projects highlights his leadership in the field of programming language foundations.

• Type Theory
• Dependent Types
• Functional Programming
• +۱۱ مورد دیگر

Martin Carlsson-Wall is a Full Professor at Stockholm School of Economics (SSE) in the Department of Accounting within the House of Governance and Public Policy. He serves as Center Director for both the Center for Municipality Governance and the Center for Security and Resilience. In 2024, he was named "The Linder Chair in Sports and Business," the first Chair at SSE on Sports and Business topics. Since 2017, he has been Program Director for the MSc in Accounting, Valuation and Financial Management, and in 2015, he founded the Center for Sports and Business, which now includes 40 faculty members and has strategic partnerships with major Swedish sports organizations across football, hockey, golf, and skiing. Martin Carlsson-Wall's research focuses on accounting in sports organizations and accounting in inter-organisational relationships across both private and public sectors. His work extensively examines management control systems , particularly in contexts of innovation , growth companies , and risk management . His research often takes a qualitative approach, investigating how accounting practices function in extreme situations (such as the Swedish migrant crisis), high-intensity organizations (like football clubs), and during organizational change processes. Analysis of Professor Carlsson-Wall's recent publications reveals a strong thematic focus on the intersection of accounting practices with sports management and public sector administration. His work demonstrates how management control systems adapt to different organizational contexts, from football clubs to technology firms and public administration during crises. A recurring theme is how accounting practices mediate tensions between different stakeholder interests and how they evolve in response to organizational challenges. His research methodology typically employs in-depth case studies that examine accounting as a social practice rather than merely a technical function. Professor Carlsson-Wall has received significant recognition through his appointment as "The Linder Chair in Sports and Business" in 2024, establishing the first dedicated research position at SSE focusing on the business aspects of sports. As an educator, Professor Carlsson-Wall serves as Program Director for the MSc in Accounting, Valuation and Financial Management and teaches several key courses including BE901 Hybrid Organizations: Value Creation and Strategy at the bachelor's level, and course 3313 Investments and Value Creation in Global Sports (which he directs) and course 3302 Management Control at the master's level. He also supervises master's theses in Accounting and Financial Management. In Executive Education, he teaches on management control, costing, performance management, transfer pricing, investment management, and financial analysis through both open programs and customized corporate offerings. Professor Carlsson-Wall founded and directs the Center for Sports and Business, which has grown to include 40 faculty members and established partnerships with major Swedish sports organizations. He also leads the Center for Municipality Governance and the Center for Security and Resilience, demonstrating his commitment to applying accounting and management control research to practical governance challenges in both public and private sectors.

• Accounting in sports organizations
• Accounting in inter-organisational relationships
• Management control
• +۳ مورد دیگر

Mattias Brunström serves as Assistant Professor of Cardiology and Associate Professor of Epidemiology at Umeå University's Faculty of Medicine within the Department of Public Health and Clinical Medicine, Section of Cardiology. He is concurrently a resident physician at Norrlands University Hospital and holds leadership roles as chairman of Sweden's national hypertension working group and scientific secretary of the Swedish Society for Hypertension, Stroke and Vascular Medicine, with active participation in the European and International Societies of Hypertension. His academic foundation includes a 2018 PhD thesis examining blood pressure-lowering treatment effects across different blood pressure levels through systematic reviews and meta-analyses of randomized clinical trials. This doctoral work established his expertise in evidence-based cardiovascular therapeutics and epidemiological methodology. Dr. Brunström's research program centers on cardiovascular disease risk factors, with specialized focus on hypertension pathophysiology and aortic diseases. His group investigates how adolescent blood pressure levels predict future cardiovascular events, examining interactions with obesity, physical fitness, and diabetes to improve risk stratification. They also analyze differential effects of antihypertensive drug classes on cardiovascular outcomes and study risk factors for aortic dissection/rupture to optimize preventive surgical interventions. This work addresses critical gaps in managing the world's leading cause of death, where uncontrolled hypertension contributes to 10 million annual fatalities despite effective treatments. Analysis of his 2024-2025 publications reveals dominant themes in hypertension guideline development, treatment threshold controversies, and cardiovascular risk assessment. His work frequently challenges conventional approaches (e.g., questioning excessive treatment of 'elevated' blood pressure in elderly patients) while advancing evidence for lifestyle interventions and beta-blocker utility. Methodologically, his research leverages large cohort studies (including 1.4 million enlistee data), systematic reviews, and international collaborations through societies like ESH and ISH to translate epidemiological findings into clinical practice. Dr. Brunström leads multiple funded research initiatives including 'Remission of type 2 diabetes through eHealth' (2022-2028) and 'VIPviza' (2013-2027), directing a multidisciplinary team that bridges clinical cardiology, epidemiology, and public health. His advisory role extends to national guideline committees and international hypertension societies where he shapes clinical practice through evidence synthesis and position papers. Based at Norrlands University Hospital's Cardiology Section, his research group operates within Umeå University's strong cardiovascular research ecosystem, maintaining active collaborations with the Swedish National Diabetes Register and international consortia. Their work emphasizes real-world applicability, examining topics like bedtime dosing of antihypertensives and self-report diagnostic tools to overcome barriers in hypertension control where only 25% of affected individuals achieve target blood pressure levels.

• Cardiovascular Disease
• Hypertension
• Aortic Diseases
• +۳ مورد دیگر

Rodrigo Fernandez Gonzalo is a Docent (Associate Professor) in Physiology and Principal Researcher at the Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet. He leads the Space and Environmental Physiology research group focusing on skeletal muscle adaptation under various conditions including microgravity, aging, disease, and exercise. His research interests span skeletal muscle physiology, space physiology, and environmental physiology, with particular expertise in how skeletal muscle interacts with other physiological systems. His work employs diverse methodologies including human clinical studies, animal models, and cellular models to investigate functional, metabolic, morphological, molecular, and neural adaptations. Analysis of his recent publications reveals a strong focus on space physiology applications, particularly how microgravity affects skeletal muscle and immune systems, along with translational applications for clinical populations like those with cerebral palsy. His research integrates molecular analysis, imaging techniques, and physical performance outcomes to develop countermeasures for spaceflight effects. 4.5 MSEK funding from the Swedish National Space Agency (2020) Member of European Space Agency's Life Science Working Group (2022-2026) Member of Space Researchers Sweden (2021-) Dr. Fernandez Gonzalo serves as course responsible for Anatomy and Physiology in the nursing program (since 2018) and Advanced Human Physiology Research in the Master's programme in Translational Physiology and Pharmacology (since 2023). He also teaches Human Spaceflight at KTH and participates in the Erasmus Mundus Joint Master in Physiology and Medicine of Humans in Space and Extreme Environments. His laboratory utilizes facilities at Karolinska University Hospital and ANA Futura for human, animal, and cellular studies investigating space exposome effects.

• Physiology
• Skeletal Muscle Physiology
• Space Physiology
• +۶ مورد دیگر

Lars Frelin is an Associate Professor in Virology at Karolinska Institutet, where he also serves as Programme Director for the Study Programme in Biomedical Laboratory Science and the Master Programme in Diagnostic Cytology. He is the Facility Manager for ANA Futura and a member of the VIVAC (Vaccines and Immunotherapies against Viruses And Cancer) research group led by Matti Sällberg at the Department of Laboratory Medicine, Division of Clinical Microbiology. Dr. Frelin's academic background includes: PhD from Karolinska Institutet (2004) Docent (Associate Professor) in Virology, Karolinska Institutet (2013) His research focuses on vaccine development against infectious diseases, particularly hepatitis viruses. Working with the VIVAC research group, he investigates novel immunotherapeutic approaches to combat viral hepatitis B, C, and D. His work spans from basic virology to translational research, with an emphasis on understanding viral immune evasion strategies and developing therapeutic vaccines that can overcome immune tolerance in chronic infections. Dr. Frelin's scientific contributions span over two decades, with recent work focusing on universal coronavirus vaccines, novel prime-boost strategies for hepatitis viruses, and understanding the immune response to viral infections. His research demonstrates a consistent trajectory toward developing immunotherapies that target viral entry mechanisms and enhance host immune responses against persistent viral infections. Dr. Frelin has secured multiple research grants from the Swedish Research Council, including: "Pathogenesis and immune evasion strategies of hepatitis viruses: New transgenic mouse models and new therapies" (2020-2022) "Pathogenesis and immune evasion strategies of hepatitis viruses: New transgenic mouse models and new therapies" (2017-2019) "Understanding the hepatitis C virus nonstructural 5A protein: A new target for antiviral therapies" (2012-2014) As Programme Director, he oversees academic programs in Biomedical Laboratory Science and Diagnostic Cytology, shaping the education of future laboratory medicine professionals. His leadership extends to serving on the Infrastructure Committee at Karolinska Institutet (2016-2019, 2019-2022) and managing the ANA Futura facility since 2020. Dr. Frelin is an active member of the VIVAC research group, which focuses on developing vaccines and immunotherapies against viruses and cancer. The group employs various approaches including DNA vaccine technology, viral vector systems, and novel delivery methods to enhance immune responses against challenging viral targets.

• Virology
• Vaccine Development
• Hepatitis Viruses
• +۵ مورد دیگر

Annika Alexius is a Professor at the Department of Economics at Stockholm University, where she has been working since 2008. Prior to this, she held a research position at Uppsala University and completed her PhD at the Stockholm School of Economics in 1997, having done her internship at the Riksbank during her doctoral studies until 2001. Dr. Alexius earned her PhD from the Stockholm School of Economics in 1997. Her doctoral work included an internship at the Riksbank, Sweden's central bank, which she continued until 2001. She then held a research position at Uppsala University before joining Stockholm University in 2008. Professor Alexius specializes in empirical macroeconomics, monetary policy, and international finance. Her research examines the complex relationships between exchange rates and inflation, the dynamics of stock prices relative to GDP, and the mechanisms of monetary policy transmission. She employs sophisticated econometric techniques, including Bayesian VAR models with time-varying parameters and stochastic volatility, to analyze economic phenomena. Her work often focuses on how financial markets respond to economic shocks and policy interventions, with particular attention to the Swedish economy and its integration into the global financial system. Analysis of Professor Alexius's publication record reveals a consistent focus on the intersection of monetary policy and international finance. Her recent work (2023) examines exchange rate pass-through during periods of high inflation following the Covid-19 pandemic and Ukraine war, using advanced Bayesian VAR techniques. Earlier publications explore long-run relationships between stock prices and GDP (2018), interbank market dynamics during the financial crisis (2014), and the relationship between exchange rates and long-term bonds (2012). A recurring theme throughout her career has been understanding how policy decisions affect economic outcomes in open economies. Professor Alexius has made significant contributions to the field of economics through her rigorous empirical work. While specific awards are not listed on her profile, her publications in reputable journals such as the Review of World Economics, Journal of Applied Finance and Banking, and Journal of International Money and Finance demonstrate recognition of her scholarly contributions. Though specific information about her advising activities is not provided on her profile, Professor Alexius has maintained an active research program spanning over two decades. Her work has addressed evolving economic challenges, from the financial crisis of the late 2000s to the recent inflationary period following the pandemic. Her research has practical implications for central banks and policymakers navigating complex economic environments. While specific laboratory or research team information is not mentioned in the available profile, Professor Alexius appears to collaborate with various researchers across her publication history, including Mikaela Holmberg, Daniel Spång, Helene Birenstam, and Johanna Eklund, among others. Her work bridges theoretical economic models with empirical analysis of real-world data, contributing to both academic discourse and practical policy understanding.

• Empirical Macroeconomics
• Monetary Policy
• International Finance
• +۴ مورد دیگر

Panagiotis Papapetrou is a Professor of Data Science and Deputy Head of Department at the Department of Computer and Systems Science , Stockholm University (since 2017). He also serves as Head of the Data Science Research Group and holds an Adjunct Professor position at Aalto University (Finland). As a Board Member of the Swedish Association for Artificial Intelligence (SAIS) , he contributes to shaping AI research directions in Sweden. Research Pillars: Algorithmic data mining, interpretable machine learning, time series classification, and health informatics Key Projects: AI for societal fairness, digital twins for smart buildings, EXTREMUM for explainable medical AI, and e-learning personalization Teaching Legacy: Developed courses in Data Mining (HT2013-2022), Machine Learning (VT2022-2024), and Health Informatics (VT2018-2021) His work focuses on interpretable AI for healthcare applications, particularly through counterfactual explanations for time series classification and forecasting. This includes developing methods like Glacier for constrained counterfactuals and Ijuice for k-justified explanations. His research also explores multimodal clustering of sepsis patient records and federated learning approaches for ICU mortality prediction. Recent scientific contributions include: CounterFair (2024): Group fairness analysis via counterfactual burden metrics M-ClustEHR (2024): Multimodal clustering for electronic health records COMET (2024): Constraint-based glucose forecasting explanations Temporal pattern mining (2024-2025): Enhanced forecasting models through decomposition Z-Time (2024): Interpretable multivariate time series classification His editorial leadership includes: Action Editor at Machine Learning Journal (since 2024) Action Editor at Data Mining and Knowledge Discovery (since 2018) Guest Editorial Board for ECML/PKDD Journal Track (2014-2019)

• Data Science
• Machine Learning
• Time Series Analysis
• +۵ مورد دیگر