جستجوی استاد راهنمای دانشگاهی

• Sports Science
• Exercise Physiology
• Winter Sports Performance
• +۳ مورد دیگر

Oyvind Karlsson is a Researcher at Mid Sweden University, affiliated with the Department of Health Sciences in Östersund and the National Winter Sports Center (NVC). His work focuses on optimizing performance and health in elite winter sports athletes, particularly cross-country skiers and biathletes, through rigorous physiological monitoring and data-driven approaches. Dr. Karlsson holds a Doctor of Philosophy (PhD) from Mid Sweden University, culminating in his 2022 doctoral thesis "Monitoring Health Problems and Training to Support Performance in Competitive Cross-Country Ski Athletes," which established his expertise in longitudinal athlete tracking. His research centers on athlete health surveillance, metabolomics-based biomarker identification, and altitude training adaptation. He investigates critical intersections between training load, illness incidence, and performance outcomes, with emphasis on practical applications for national teams. Current projects analyze metabolic responses to exercise, sleep patterns at altitude, and individualized acclimatization strategies. Analysis of his 15 most recent publications reveals a dominant focus on cross-country skiing performance optimization through interdisciplinary methods. His work consistently combines exercise physiology with metabolomics and real-world monitoring, targeting illness prevention and performance enhancement in elite winter sports. Recent studies increasingly incorporate blood-based biomarkers and individual response variability. No scientific awards are documented in available sources. While no formal advising relationships or specific grant funding are mentioned, Dr. Karlsson collaborates extensively with national team staff through the NVC framework. His research directly informs coaching decisions and athlete management protocols for Swedish cross-country skiing and biathlon programs. As a core member of the National Winter Sports Center (NVC), Dr. Karlsson integrates with multidisciplinary teams including sports scientists, physiologists, and medical staff. His work leverages the NVC's specialized facilities for altitude simulation, metabolic testing, and field-based performance analysis during training camps.

• Visual Learning Analytics
• Educational Technology
• Machine Learning
• +۳ مورد دیگر

Zeynab Mohseni is a researcher at Linnaeus University , affiliated with the Department of Computer and Information Sciences. Her work focuses on Visual Learning Analytics (VLA) tools for teachers, enabling data-driven decision-making and improved student learning trajectories. She is a member of the EdTechLnu research group and the Computational Social Sciences team, contributing to educational technology innovation and digital transformation in K-12 and higher education.

Erik Gustafssonمشاهده پروفایل

مدرس ارشد

• Entrepreneurship
• Creative Industries
• Fashion
• +۲ مورد دیگر

Erik Gustafsson is a Senior Lecturer in Innovation and Entrepreneurship at the University of Gothenburg's School of Business, Economics and Law. His research focuses on entrepreneurship in creative industries, particularly fashion, examining the role of artistic knowledge in sustainable transitions. He received the prestigious Wallander Scholarship in 2020 for his project 'Fashioning a sustainable future?' exploring sustainable development in the fashion industry. Research interests center on: Knowledge-intensive entrepreneurship Value creation beyond monetary metrics Sustainable innovation in fashion Creative industry ecosystems He coordinates the Knowledge-Based Entrepreneurship master's program and teaches in both master's and industrial management programs. His research examines how universities can mobilize resources for social innovation through knowledge-intensive firms.

Nina Lindelöfمشاهده پروفایل

دانشیار

• Geriatric Rehabilitation
• Physiotherapy
• High-Intensity Interval Training
• +۳ مورد دیگر

Nina Lindelöf is an Associate Professor at the Department of Community Medicine and Rehabilitation at Umeå University, Sweden. Her research focuses on geriatric rehabilitation, physiotherapy, and the effects of high-intensity interval training on aging populations, particularly those with dementia. Research Qualification: Docent Research Groups: Physical performance across the life span (PAL), Umeå Center for Disability Research, Umeå Translational Respiratory EXercise group (U-TREX) Research Interests: Geriatric Rehabilitation interventions, High-Intensity Interval Training for older adults, Dementia Care strategies, and Interdisciplinary Rehabilitation programs. Her work often involves randomized controlled trials (RCTs) and qualitative studies assessing physical function, cognitive outcomes, and caregiver experiences. Article Trends: Focus on supramaximal exercise in aging populations, dementia rehabilitation models, hip fracture recovery , and social participation in digitalized societies. Studies frequently employ RCT designs , qualitative analysis , and interdisciplinary approaches . Current Projects: The Umeå HIT Study (2019-2024) and The Umeå Dementia and Exercise Study (UMDEX) (2011-2017). Collaborates with institutions like BioMed Central, Oxford University Press, and Elsevier. Labs/Teams: Physical performance across the life span (PAL) Umeå Center for Disability Research Umeå Translational Respiratory EXercise group (U-TREX)

• Sports Medicine
• Sports Physiology
• Environmental Physiology
• +۳ مورد دیگر

Helen Hanstock is Senior Lecturer in Sports Science at Mid Sweden University's Department of Health Sciences. She serves as subject representative for sports science and works at the National Winter Sports Center (NVC). Her research focuses on: Athlete health optimization in winter endurance sports Prevention of asthma/respiratory diseases Performance optimization strategies Omics-based biomarker discovery Her work combines biological monitoring with environmental physiology , particularly examining cold exposure effects on respiratory and immune systems. Recent publications highlight: Infrared sauna applications for recovery Heat-moisture exchanger impacts on performance Metabolomic profiling of endurance athletes Cold-induced respiratory stress mechanisms She also acts as Associate Editor for the European Journal of Sport Science, contributing to academic discourse in sports physiology.

• Machine Learning
• Deep Learning
• Software Engineering
• +۷ مورد دیگر

Sebastian Hönel is a postdoctoral researcher at Linnaeus University, affiliated with the Faculty of Technology and the Department of Computer Science and Media Technology. He is an active member of the Data Intensive Software Technologies and Applications (DISTA) research group and currently serves as a co-Principal Investigator in the project "In-line visual inspection using unsupervised learning" focused on manufacturing defect detection using machine learning techniques. Hönel completed his Doctoral Thesis in 2023 titled "Quantifying Process Quality: The Role of Effective Organizational Learning in Software Evolution" and earned his Licentiate Thesis in 2020 on "Efficient Automatic Change Detection in Software Maintenance and Evolutionary Processes," both from Linnaeus University. His educational background demonstrates a strong foundation in software engineering and data analysis. Hönel's research spans software engineering, machine learning, and data science. Initially focusing on applying Machine Learning and Deep Learning to software evolutionary processes and organizational learning, his current work emphasizes unsupervised and zero/few-shot learning techniques for industrial anomaly detection. He has particular expertise in Deep Density Estimation (especially Normalizing Flows) and Representation Learning, with applications in manufacturing quality assessment and software maintenance. His research interests include anomaly detection methodologies, architectural innovations in autoencoders, and methodological considerations for evaluation metrics in machine learning applications. An analysis of his publication record reveals a consistent focus on bridging software engineering with advanced machine learning techniques. His most recent work shows a strategic shift toward industrial applications of unsupervised learning, particularly in manufacturing defect detection, while maintaining his foundational work in software metrics and quality assessment. The publications demonstrate progression from theoretical software metrics to practical applications of deep learning in quality inspection systems. Hönel actively contributes to academic education by teaching (Deep) Machine Learning courses (4DV652, 4DV660, 4DV661) and previously served as a teaching assistant for agile product development courses (1DV508, 4DV611). His role as co-PI on the visual inspection project indicates successful research funding and leadership capabilities. While specific grant details aren't provided in the available information, his position suggests ongoing research support. As part of the DISTA research group, Hönel collaborates extensively with colleagues including Ericsson, Löwe, and Wingkvist on projects that combine software engineering with advanced data analysis techniques. His work environment supports interdisciplinary research at the intersection of computer science, software engineering, and machine learning applications, with particular emphasis on practical implementations in both software development contexts and manufacturing quality control systems.

• High-energy physics
• Particle physics
• Nuclear physics
• +۳ مورد دیگر

Else Lytken is a Professor and Head of the Department of Physics at Lund University, part of the Faculty of Science. She is also a Senior Lecturer and Project Manager for the Particle and Nuclear Physics group. Her research focuses on testing the Standard Model and searching for new physics beyond it using leptons, particularly through collaborations with the ATLAS experiment at CERN and the upcoming νESS experiment at ESS (European Spallation Source). Her work includes high-energy physics studies at the LHC (e.g., Higgs boson properties, top quark physics, dark matter searches) and high-intensity experiments exploring neutrino properties and coherent elastic neutrino-nucleus scattering. She has contributed to over 1,175 publications, with recent work emphasizing precision measurements in pp collisions and advanced analysis techniques for ATLAS data. Notable projects include: ATLAS Run-2 results on Higgs boson decays, top quark production, and dark matter mediator searches Planning for νESS to study neutrino-nucleus interactions Development of jet substructure algorithms and detector calibration methods Her research combines experimental particle physics with cutting-edge computational tools, contributing to both LHC physics and future neutrino experiments.

Aleksandra Foltynowicz Matybaمشاهده پروفایل

استاد

• Laser Spectroscopy
• Optical Frequency Comb Technology
• Molecular Spectroscopy
• +۳ مورد دیگر

Aleksandra Foltynowicz Matyba is a Professor in the Department of Physics at Umeå University, leading the Optical Frequency Comb Spectroscopy Group. Her research focuses on developing and applying optical frequency comb techniques for precision measurements, molecular spectroscopy, and atmospheric analysis. She holds a PhD from Umeå University (2009) and conducted postdoctoral research at JILA, University of Colorado Boulder (2009–2011). Key research areas include optical frequency comb spectroscopy, high-resolution molecular line list generation, and applications in exoplanet atmosphere studies. She leads the ongoing research project Double-Resonance Spectroscopy of Small Molecules Using an Optical Frequency Comb (2021–2026). Notable achievements include being elected an Optica Fellow (2025) and pioneering sub-Doppler resolution techniques in cavity-enhanced spectroscopy. Publications emphasize advancements in methane spectroscopy, formaldehyde analysis, and novel instrumentation using antiresonant hollow-core fibers. Her work bridges fundamental physics with practical applications in environmental monitoring and space missions.

• Environmental Economic History
• Energy Transitions
• Sustainable Development Metrics
• +۵ مورد دیگر

Magnus Lindmark serves as Professor at the Unit of Economic History within the Faculty of Social Sciences at Umeå University. His research focuses on the intersection of environmental history and economic development, with particular expertise in Swedish historical environmental accounting and energy transitions. His office is located at Samhällsvetarhuset (SAM.C.419), Biblioteksgränd, Umeå. Professor Lindmark's research interests center on environmental economic history , with specialized focus on historical energy transitions, the evolution of environmental protection expenditures, and sustainability metrics. His work employs historical environmental accounting methods to analyze long-term trends in carbon emissions, waste management transformation, and circular economy development in Sweden. His research spans from pre-industrial organic energy systems through modern environmental policy frameworks, with particular attention to the Swedish Environmental Kuznets Curve and historical wealth accounting. Analysis of his recent publications (2018-2025) reveals a clear trajectory from traditional economic history toward environmental economic history, with increasing emphasis on sustainability metrics and policy implications. His work shows sophisticated integration of historical data with environmental economics frameworks, particularly in developing historical Environmental Protection Expenditure Accounts (EPEA) and analyzing long-term elasticity of environmental demand. The research demonstrates strong regional focus on Nordic contexts while contributing to global environmental economic history discourse. His active research projects include: A promised land? (2023-2029) The dynamics of public welfare: industrial accident insurance in Sweden, 1880-1939 (2019-2021) Conditions for Green Structural Change: Evolution of Sweden's Environmental Goods and Service Sector (1970-2015) (2017-2020) Professor Lindmark maintains significant scholarly engagement through publications in leading journals including Ecological Economics , Business History Review , and Scandinavian Economic History Review , with recent work appearing in the Handbook of Green Economics . His research demonstrates consistent methodological rigor in historical data reconstruction and economic analysis applied to environmental questions.

• Data-Driven Methods
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Tibo James Liam Bruneel is a researcher affiliated with Linnaeus University , specializing in data-intensive applications and MLOps architectures. He is associated with the graduate school Data Intensive Applications (DIA) and the research group Data Intensive Software Technologies and Applications (DISTA) , focusing on applied research for industrial challenges involving AI model integration and deployment. His work centers on advancing data-driven methodologies, particularly in machine learning and big data analysis, through the Linnaeus University Centre for Data Intensive Sciences and Applications. Current research explores optimizing MLOps frameworks for diverse industrial environments, emphasizing efficiency and scalability.

Jörgen Blomvallمشاهده پروفایل

دانشیار

• Financial Engineering
• Stochastic Programming
• Quantitative Finance
• +۳ مورد دیگر

Jörgen Blomvall is an Associate Professor at Linköping University's Department of Management and Engineering (IEI). His research focuses on optimal financial decision-making, accurate financial measurement, and stochastic optimization models applied to financial markets. He develops methods to enhance measurement accuracy for quantities like forward rates, default intensities, and local volatilities, which are critical for equity, interest, credit, and derivative markets. Blomvall's work integrates stochastic programming and dynamic programming to address portfolio optimization, risk management, and transaction cost reduction. He is affiliated with the Operations Management and Finance research group, exploring resource optimization in manufacturing and service industries. His key research areas include financial engineering, stochastic programming, and quantitative risk management. Recent work emphasizes improving dividend estimation from intraday quotes, reducing transaction costs in hedging strategies, and analyzing stage complexity in stochastic programming for portfolio choice. Blomvall's methodologies have advanced the modeling of systematic risks and optimal investment decisions under real-world market constraints. Blomvall has contributed extensively to the development of optimization-based frameworks for performance attribution and yield curve estimation. His articles frequently address practical applications of stochastic models in financial markets, balancing theoretical rigor with computational feasibility. Despite his prolific output, no specific academic awards or student advisees are documented in the provided texts. He is active in the Production Economics (PEK) research group at Linköping University.

Mariana Andreiمشاهده پروفایل

استادیار

• Energy Transition
• Industrial Energy Management
• Sustainability in Manufacturing
• +۳ مورد دیگر

Mariana Andrei is an Assistant Professor at Linköping University, affiliated with the Department of Management and Engineering (IEI) and the Energy Systems (ENSYS) division. Her work bridges engineering and social sciences to develop practical tools for industrial energy transition, with focus on manufacturing and shipping sectors. Her research centers on interdisciplinary energy transition frameworks, examining how social dynamics and technical systems interact in industrial energy management. Key interests include digitalization impacts on energy efficiency, policy implementation challenges in EU energy auditing, and organizational behavior in sustainability transitions. She employs mixed-method approaches combining engineering analysis with ethnographic social science techniques to address systemic barriers in decarbonization. Recent publications (2024-2025) reveal a strong trajectory toward digital-physical-social integration in energy systems. Dominant themes include Industry 4.0 applications for energy management, maturity models for technology adoption, and socio-technical harmonization of energy policies. The work consistently emphasizes contextual implementation challenges rather than purely technical solutions, with growing emphasis on writing as a methodological tool in interdisciplinary research. Dr. Andrei actively collaborates within the Energy Systems division across multiple funded projects including "Resilience in the future electricity system" and "Excellent energy management using AI (XEMAI)". Her research network spans 23 collaborators including professors, associate professors, and PhD students, with particular emphasis on cross-disciplinary teams addressing manufacturing and shipping sector challenges. While specific grant details aren't listed, her project portfolio indicates substantial involvement in EU and nationally funded energy transition initiatives. She is embedded in the Energy Systems (ENSYS) division which drives research, education and industry partnerships in energy systems. Through the Graduate School in Energy Systems, she contributes to training researchers who understand technology-society-policy interactions. Her work directly supports Linköping University's mission of boundary-crossing research with industrial applicability, particularly in Sweden's manufacturing-intensive economy.

• Quality Management
• Leadership Development
• Teamwork and Collaboration
• +۳ مورد دیگر

Pernilla Ingelsson is an Associate Professor and Head of Department at Mid Sweden University, affiliated with the Department of Communication, Quality Technology and Information Systems (KKI). She specializes in quality management, leadership, and sustainable organizational culture development. Current Projects : Collaborative initiatives with Sundsvall Municipality (team-based working methods, functional teams) and a Kamprad Research Foundation-funded project applying the Magnet Model in special housing sectors. Teaching : Leads the master's program in Quality and Leadership Development and develops industry-specific training programs for public and private organizations. Research Interests center on creating sustainable quality cultures through values, behaviors, and team dynamics. She explores how top management teams drive organizational change, with applications in healthcare and education. Her work bridges Lean methodologies with sustainability goals, emphasizing employee engagement and customer value creation. Publications cover topics like value-based leadership, transitional care quality, preschool assessment models, and team collaboration frameworks. Her research often employs mixed-method approaches, including interactive design, systematic reviews, and scoping studies. Collaborations span healthcare (ICU transfers, nursing homes), municipal services, and private sector quality initiatives, reflecting her interdisciplinary focus on organizational and regional development.

Johanna Schwarzمشاهده پروفایل

دانشیار

• Sleep Science
• Stress and Recovery
• Cognitive Neuroscience
• +۵ مورد دیگر

Johanna Schwarz is an Associate Professor at Stockholm University's Department of Psychology, specializing in sleep science and stress-related recovery mechanisms. Her research focuses on sleep's role in emotional regulation, cognitive performance, and aging through experimental and population-based studies. Stockholm University, Department of Psychology Division for Sleep and Alertness Research Research interests center on sleep's interaction with stress load, emotional processing, and cognitive function across adult lifespan. Key methodologies include: Magnetoencephalography (MEG) for neurophysiological measurements Polysomnography in real-life contexts Experience sampling method (ESM) for longitudinal tracking fMRI and EMG for brain-behavior relationships Recent publications examine age-related differences in sleep deprivation impacts, subjective sleep quality interpretation, and emotional regulation neuroimaging. While specific awards aren't detailed in current data, her collaborative studies with Stress Research Institute demonstrate significant contributions to sleep neuroscience. Key research trends show cross-disciplinary integration of: Cognitive neuroscience with gerontology Clinical sleep medicine with epidemiology Neuroimaging with behavioral economics Population health with neurophysiological biomarkers Stress response modeling with affective regulation Subjective sleep experience with objective measurement

• Musculoskeletal Health
• Physical Activity and Exercise
• Rheumatology
• +۳ مورد دیگر

Emma Haglund is a Senior Lecturer at Halmstad University, affiliated with the School of Business, Innovation and Sustainability. She holds dual roles as an Associate Professor in Biomedicine (Physical Activity and Exercise) and Program Manager for the Biomedicine – Exercise Physiology bachelor’s program. She is a physiotherapist specializing in rheumatology, with affiliations to multiple research groups including the Movement for Health and Performance (M4HP), Exercise Biomedicine Group (ExBiG), and Spenshult’s Arthritis Group at Lund University/Rheumatology. Her research focuses on musculoskeletal health, studying diseases like rheumatological conditions and osteoarthritis, emphasizing physical function, lifestyle factors, and exercise efficacy. Key projects include high-intensity interval training for inflammatory back pain, the Halland Osteoarthritis (HALLOA) cohort study, and exercise interventions for youth depression. Publications span musculoskeletal epidemiology, pain management, and exercise physiology, with recent work investigating knee osteoarthritis progression, chronic pain, and the impact of lifestyle on health outcomes. Her work bridges clinical practice and population health, emphasizing translational research for improved patient management. Emma collaborates extensively with Spenshult Research and Development Center, contributing to initiatives like the Health Innovation profile area at Halmstad University. Her research integrates biomechanical, epidemiological, and qualitative methods to address complex health challenges.