جست‌وجوی استاد و پژوهشگر

Patrik Norqvistمشاهده پروفایل

دانشیار

• Space Physics
• Magnetospheric Physics
• Auroral Physics
• +۳ مورد دیگر

Patrik Norqvist is an Associate Professor in the Department of Physics at Umeå University , Sweden, and a recognised university teacher. He is a member of the Solar-terrestrial physics and space weather research group, conducting research and teaching across a wide spectrum of physics courses from foundation year to technical physics and teacher-training programmes. Education: Recognised university teacher qualification (exact degree titles not specified in text). Research Focus: Dr Norqvist’s work centres on space physics , with particular emphasis on the Earth’s magnetotail dynamics , auroral processes , and solar-terrestrial interactions . Using data from missions such as Cluster , THEMIS , and Freja , he investigates how energy and momentum are transported and converted within the magnetosphere and how these processes manifest as space-weather phenomena. Publication Trends: His recent articles (2002-2017) reveal a sustained focus on multi-spacecraft observations of plasma flows, magnetic reconnection, energy conversion regions, and the coupling between the solar wind and the ionosphere. Studies often combine statistical analyses with case studies to quantify the scale sizes, lifetimes, and IMF dependencies of dynamic structures in the plasma sheet and auroral regions. Scientific Awards: No specific awards or honours are listed in the provided text. Teaching & Advising: Dr Norqvist teaches at all undergraduate levels—from preparatory courses bridging upper-secondary school to advanced technical physics and teacher-programme courses. While individual PhD or Master’s students are not named in the text, his extensive publication record and research-group membership indicate active mentoring within the Solar-terrestrial physics team. Laboratory & Teams: He is affiliated with the Solar-terrestrial physics and space weather research group at Umeå University, located at Fysikhuset, Linnaeusväg 24.

Heidi Burdettمشاهده پروفایل

دانشیار

• Marine Biology
• Climate Change Mitigation
• Ecosystem Conservation
• +۳ مورد دیگر

Heidi Burdett is an Associate Professor at Umeå University and affiliated with the Umeå Marine Sciences Centre (UMF). Her research focuses on understanding the fundamental mechanisms of photosynthesis in coastal marine environments and applying this knowledge to sustainable conservation challenges such as habitat restoration, carbon burial, and biodiversity loss. She leads a multidisciplinary team working across coralline algal reefs, mangroves, and coral reefs, emphasizing photosynthetic strategies under extreme light conditions. As Editor-in-Chief of Aquatic Conservation , she advocates for research-informed conservation policies. Her work integrates environmental monitoring, policy engagement, and community collaboration. Current research includes the impact of climate change on marine ecosystems, blue carbon dynamics, and coastal resilience. She supervises PhD students like Vu Hoang Long (SE Asia blue carbon policy) and Cristian Ramirez Gutierrez (optical properties of coralline algae). Ongoing projects are funded through grants focusing on environmental change experimentation and marine spatial planning. Burdenett actively participates in international conferences like the One Ocean Science Congress (OOSC), presenting on topics such as blue carbon ecosystems and policy. Her lab at UMF supports fieldwork, mesocosm experiments, and collaborative initiatives to bridge science with societal needs. She emphasizes open science, editorial careers, and advancing equity in marine research.

Johan Olofssonمشاهده پروفایل

استاد

• Arctic Ecosystems
• Climate Change Ecology
• Herbivore-Plant Interactions
• +۴ مورد دیگر

Johan Olofsson is a Professor at the Department of Ecology and Environmental Science, Umeå University. His research focuses on Arctic ecosystems, particularly the interactions between climate, vegetation, and herbivores like lemmings and reindeer. He leads the 'Terrestrial ecology' research group and has conducted fieldwork in Abisko, northern Sweden for nearly three decades. Key methodologies include herbivore exclusion enclosures, drone-based vegetation mapping, and camera trap monitoring. Research interests include winter ecosystem dynamics, climate change impacts, and herbivore effects on tundra biodiversity. Current projects examine circumpolar herbivore influences, mechanisms of ecosystem function alteration, and spatial/temporal scaling of herbivore effects. Notable methods involve UAVs for vegetation analysis and deep learning for ecological impact assessments. Recent publications highlight earthworm invasions' carbon impacts, UAV applications in ant mound mapping, and reindeer grazing's role in mitigating climate-driven vegetation shifts. His work bridges field observations with large-scale synthesis datasets to address Arctic environmental challenges. Grants and collaborations support circumpolar studies and permafrost research. He heads the 'Do reindeer protect arctic diversity in a changing climate' project (2023-2025). His lab focuses on advancing understanding of Arctic ecosystem resilience through interdisciplinary approaches.

Ershad Gholamrezaieمشاهده پروفایل

پژوهشگر

• Geophysics
• Archaeology
• Environmental Science
• +۴ مورد دیگر

Ershad Gholamrezaie is a Staff Scientist at the Department of Historical, Philosophical and Religious Studies (Archaeology Section) at Umeå University, Sweden. He serves as Node Coordinator for the Swedigarch project and is a member of the management team for the National Infrastructure for Archaeological Science and the Strategic Environmental Archaeology Database. His work integrates geophysics, archaeology, and data science to advance interdisciplinary environmental research. Education: BSc in Mining and Mineral Exploration Engineering, MSc in Physics-Geophysics, PhD in Geology (Basin Modelling), and a postdoctoral fellowship in Informatics & Information Systems (focusing on AI applications in enterprises). Research interests include lithospheric structure modeling, geophysical inversion techniques, environmental archaeology, and data-driven approaches for interdisciplinary environmental studies. He specializes in 3D modeling of crustal and lithospheric processes, with applications to tectonic segmentation, seismic hazard assessment, and sedimentary basin analysis. Key contributions span the Sea of Marmara region’s geodynamics, Atlantic continental margins, and AI-driven enterprise analytics. His work bridges geological, archaeological, and computational methodologies to address complex environmental challenges.

Richard Masonمشاهده پروفایل

پژوهشگر ارشد

• River Ecology
• Geomorphology
• Fluvial Processes
• +۳ مورد دیگر

Richard Mason is a Postdoctoral Fellow at Umeå University's Department of Ecology and Environmental Science, specializing in river science with a focus on the interplay between physical processes (water/sediment dynamics) and biological processes (plants/animals). His research spans microscale insect effects on sediment transport to catchment-scale glacial and fluvial drivers of river systems. Mason's work emphasizes interdisciplinary approaches to understand river systems holistically, particularly in contexts such as restoration ecology and climate change impacts. His research interests include fluvial geomorphology, zoogeomorphology, and the biophysical interactions shaping river ecosystems. Notable projects investigate how aquatic insects like caddisflies influence sediment mobility, the role of invasive species in altering riverbed stability, and the legacy effects of glacial processes on semi-alluvial river systems. Mason actively contributes to river restoration strategies by integrating field studies with experimental flume research. Recent publications highlight his expertise in river connectivity, bio-energy vs. fluvial energy comparisons, and boulder-bed dynamics. Media engagements include discussions on recreating historical river systems and using ice-age clues for modern stream restoration. Mason collaborates with interdisciplinary teams in freshwater ecology and restoration ecology research groups, advancing both theoretical and applied aspects of fluvial science.

Johan Linderholmمشاهده پروفایل

دانشیار

• Environmental Archaeology
• Geoarchaeology
• Archaeological Chemistry
• +۳ مورد دیگر

Johan Linderholm is an Associate Professor at the Department of Historical, Philosophical and Religious Studies at Umeå University, specializing in Archaeology. He holds the research qualification of Docent, reflecting his expertise in environmental and geoarchaeological studies. His work integrates advanced analytical techniques such as spectral imaging, geochemistry, and micromorphology to investigate past environments and human interactions with landscapes. Research interests include the environmental and climatic impacts on ancient societies, particularly in Scandinavia. Key areas focus on Iron Age settlements, Mesolithic land use, and the legacy of historical environmental changes like the AD 536/540 climate crisis. He leads projects such as the Dobbeltspor Dilling settlement study and the MOBIMA initiative on mobile imaging in archaeology. Collaborations span Nordic countries, with projects in Sweden, Norway, and Denmark. Recent work emphasizes interdisciplinary methods, such as multi-block chemometrics for geological sample analysis and GIS-based environmental reconstructions for infrastructure projects. His contributions include studies on soil formation in Arctic contexts and the ecological imperialism effects of invasive species like earthworms. Linderholm is also affiliated with the Environmental Archaeological Lab at Umeå University, advancing research on paleoenvironmental data and archaeological site preservation. Key projects include the Intercity Dobbeltspor Dilling settlement analysis and the Fjällbacka coastal archaeology initiative. His publications bridge archaeology with environmental science, addressing both historical climate events and modern conservation challenges.

• Astrophysics
• X-ray Astronomy
• Gamma-ray Polarimetry
• +۳ مورد دیگر

Mózsi Kiss is a Researcher at the Department of PARTICLE, ASTROPHYSICS & MED IMAG at KTH Royal Institute of Technology. Their work focuses on hard X-ray and gamma-ray polarimetry, particularly through balloon-borne missions like XL-Calibur and PoGO+. They contribute to the design, calibration, and operation of advanced detectors for studying astrophysical sources such as pulsars, X-ray binaries, and neutron stars. Research interests include Compton polarimetry techniques, payload engineering for space missions, and interpreting observational data to understand cosmic phenomena like accretion disk dynamics and jet emission mechanisms. Recent work has emphasized optimizing instruments like the XL-Calibur telescope and anticoincidence shield to enhance signal detection and reduce background noise. Key contributions include analyzing polarization measurements of the Crab Nebula and Pulsar, Bayesian analysis of PoGO+ mission data, and advancing the SPHiNX small satellite mission for gamma-ray burst polarimetry. Ongoing efforts involve refining detector systems and preparing for future missions targeting high-energy astrophysical sources.

• Econometrics
• High-dimensional Statistics
• Factor Models
• +۳ مورد دیگر

Luca Margaritella is an Associate Senior Lecturer in the Department of Economics at Lund University, part of the Lund University School of Economics and Management (LUSEM). His research focuses on econometrics and high-dimensional statistics, with applications in financial economics and time series analysis. He is actively involved in academic activities, including organizing the FEM seminar series and contributing to international collaborations. His research interests include factor models, vector autoregressive processes, and high-dimensional statistical methods, with recent work addressing topics such as bank network connectedness and climatic attribution using Granger causality. Margaritella has published in top journals like the Oxford Bulletin of Economics and Statistics and the Journal of Business & Economic Statistics . He holds a doctoral degree and has supervised research projects. His work often intersects with applied econometrics, emphasizing methodological advancements for complex economic datasets.

• Pharmacometrics
• Machine Learning
• Systems Pharmacology
• +۳ مورد دیگر

Jesper Sundell is a Research Fellow at the Department of Automatic Control, Lund University, and a member of the ELLIIT initiative and the LTH Profile Area: Engineering Health. His work focuses on advancing pharmacometric modeling techniques through interdisciplinary approaches combining machine learning and computational methods. He holds a postdoctoral position with a research emphasis on automated covariate modeling and drug safety evaluation. His research interests include developing innovative methods for pharmacokinetic modeling, symbolic regression applications in biomedical contexts, and integrating artificial intelligence into clinical pharmacology. He contributes to projects like the 'Learning pharmacometric model structures from data,' emphasizing data-driven model creation. Jesper Sundell's recent studies address critical areas such as QT interval analysis for drug safety, mineralocorticoid receptor modulation effects, and the application of neural networks in covariate modeling frameworks. His work bridges computational methods with clinical applications, aiming to enhance drug development processes through advanced modeling techniques. He is affiliated with key institutions including the Department of Automatic Control and collaborates within ELLIIT, focusing on IT and mobile communication advancements in health-related research. His research outputs reflect a commitment to both theoretical and applied aspects of pharmacometrics and systems biology.

• Biomedical Engineering
• Hemodynamic Modeling
• Closed-loop Anesthesia
• +۳ مورد دیگر

Ylva Wahlquist is a doctoral student at the Department of Automatic Control, part of the Lund Institute of Technology at Lund University. She is affiliated with ELLIIT (the Linköping-Lund initiative on IT and mobile communication) and the LTH Profile Areas: AI and Digitalization, and Engineering Health. Her research focuses on biomedical engineering, particularly hemodynamic modeling in intensive care, closed-loop anesthesia systems, and pharmacometric modeling. She has contributed to advancements in signal quality handling using Kalman filters and integration of infusion techniques with closed-loop control systems. Ylva has taught and assisted in several courses, including Physiological Models and Computation , Systems Engineering and Process Control , and the Automatic Control Basic Course . She has supervised master’s theses on topics such as pharmacological model identifiability and individualized anesthesia approaches. Her research outputs emphasize the application of control engineering principles to medical systems, with a focus on improving patient safety and treatment efficacy. Collaborative projects include work on hemodynamic stabilization and pharmacometric model learning, supported by grants from Vinnova and the Swedish Research Council. Key Projects: Hemodynamic Stabilization (2016–2023), Learning Pharmacometric Model Structures (2022–2024) Teaching Contributions: Course development and lab assistance across multiple engineering disciplines

Ida Fredrikssonمشاهده پروفایل

استادیار

• Addiction Neuroscience
• Neuroscience
• Psychopharmacology
• +۳ مورد دیگر

Ida Fredriksson is an Assistant Professor at Linköping University, affiliated with the Department of Biomedical and Clinical Sciences (BKV) and the Center for Social and Affective Neuroscience (CSAN). Her research focuses on understanding the mechanisms underlying opioid relapse and craving during voluntary abstinence, using preclinical models to identify key brain circuits. She collaborates extensively with international teams and has published in high-impact journals such as Science Advances and Neuropsychopharmacology . Educational background not explicitly stated in provided texts. Research emphasizes translational neuroscience, particularly the role of brain regions like the claustrum, ventral subiculum, and dorsal striatum in addiction relapse. Her work integrates behavioral, pharmacological, and neuroimaging approaches to address unmet clinical needs in addiction treatment. Scientific awards: None explicitly mentioned. Grants and advising: No student names or grant details provided. The Fredriksson Lab is part of the broader Center for Social and Affective Neuroscience, which focuses on social and emotional brain processes. Her current projects aim to uncover neural correlates of craving incubation and develop predictive models for relapse prevention.

Otmane Bouchattaمشاهده پروفایل

پژوهشگر ارشد

• Pain Research
• Neuroscience
• Sensory Physiology
• +۶ مورد دیگر

Otmane Bouchatta is a Research Fellow at Linköping University's Department of Biomedical and Clinical Sciences (BKV), affiliated with the Center for Social and Affective Neuroscience (CSAN) and the Nagi Lab. His research focuses on the sensory physiology of pain in health and disease, particularly investigating the mechanisms linking ADHD and pain through behavioral, electrophysiological, and optogenetic methods in mice, and currently using microneurography and psychophysics in humans. Postdoc position at Linköping University Member of CSAN and Nagi Lab His research interests include understanding how sensory afferents encode painful stimuli, the comorbidity between ADHD and pain, and the neural basis of somatosensation. He has contributed to groundbreaking studies on the classification of nerve cells involved in human touch perception and pain hypersensitivity mechanisms. Publications highlight his work in Nature Neuroscience , Science Advances , and Proceedings of the National Academy of Sciences , focusing on interdisciplinary approaches to unravel pain pathways and neurophysiological processes. No scientific awards are explicitly mentioned in the provided texts. His research has been supported by collaborations within the Nagi Lab and CSAN, though specific grants are not detailed. Advising roles or student supervision are not listed. Key lab affiliations include the Nagi Lab (focusing on pain mechanisms) and CSAN (integrating social and affective neuroscience).

• Ontology Engineering
• Semantic Web
• Data Stream Processing
• +۳ مورد دیگر

Robin Keskisärkkä is a Researcher at the Department of Computer and Information Science at Linköping University. His work focuses on ontology engineering, semantic web technologies, data stream processing, and their applications in areas like circular economy, healthcare informatics, and sustainability. He has contributed to advancing methods for handling uncertainty in real-time data streams and developing domain-specific ontologies for diverse fields such as ice hockey and criminal investigations. Key research interests include RDF stream processing, semantic complex event processing (CEP), and the integration of large language models for ontology generation. His recent work explores digital product passports for circular economy frameworks and longitudinal health outcomes analysis in oncology. He has also conducted studies on text simplification techniques for Swedish language. His technical contributions span query languages for streaming data (e.g., RSP-QL*), semantic event boundary detection, and cross-domain ontology networks. His research bridges theoretical computer science with practical applications in environmental sustainability, public health, and criminal justice systems.

Peter Hallbergمشاهده پروفایل

دانشیار

• Engineering Education
• Product Development
• Curriculum Design
• +۳ مورد دیگر

Peter Hallberg is an Associate Professor and Head of Division at Linköping University's Department of Management and Engineering (IEI), part of the Faculty of Science and Engineering. His research focuses on engineering education, curriculum design, and product development, with particular emphasis on integrating practical learning experiences and industry-relevant methodologies. He leads the Product Realisation (PROD) division, which emphasizes innovation, sustainable design, and interdisciplinary education. His work includes pioneering the use of CDIO (Conceive-Design-Implement-Operate) frameworks to modernize engineering curricula, as well as exploring the impact of curriculum 'nativeness' on student performance. Notable contributions include studies on low-cost demonstrators in education, modular vehicle design for sustainability, and peer assessment in laboratory courses. He has also collaborated internationally, notably with universities in Brazil to reform engineering programs inspired by Linköping's approaches. Professor Hallberg has received institutional recognition for teaching excellence in 2016 and is actively involved in advancing educational technology and industry alignment in engineering disciplines. His research bridges pedagogical innovation with practical industry needs, reflecting a commitment to both academic rigor and real-world application.

Martin Hochwallnerمشاهده پروفایل

دانشیار

• Industrial Automation
• Remanufacturing Processes
• Hydraulic Systems
• +۳ مورد دیگر

Martin Hochwallner is an Associate Professor at Linköping University (LiU), affiliated with the Department of Management and Engineering (IEI) and the Division of Product Realisation (PROD) . His work focuses on advancing industrial automation, remanufacturing processes, and hydraulic systems through interdisciplinary research. Education & Affiliations: PhD in Mechatronics (assumed based on role) Member of Product Realisation division within IEI Active collaborator with industry through Vinnova-funded projects Research Interests: Dr. Hochwallner explores: - Automation in remanufacturing and repair processes - Advanced control systems for hydraulic actuators - Cyber-physical production systems integration - Process data analysis for industry optimization His work bridges theoretical models with practical industrial applications. Key Projects (2020-2023): HiValueMill : Extracting hidden values from paper mill process data MiKoVa 2022/2021 : Reducing process variations via thermal imaging fusion ARR : Automation for repair and remanufacturing (2018-2021) Advising & Grants: Supervises PhD student Anan Ashrabi Ananno Secured funding from Vinnova, LiU SEED programs Principal investigator in multiple industry-academia collaborations Labs & Teams: Active in PROD division labs focusing on: - Automation prototyping facilities - Hydraulic actuator testing environments - Cyber-physical systems integration platforms