جست‌وجوی استاد و پژوهشگر

Marie Rhodinمشاهده پروفایل

استاد

• Veterinary Biomechanics
• Equine Orthopedics
• Lameness Detection
• +۵ مورد دیگر

Marie Rhodin is a Professor in Anatomy at the Department of Animal Biosciences, Swedish University of Agricultural Sciences. She holds a DVM (2003) and PhD (2008) focusing on equine biomechanics. Her research emphasizes objective lameness detection, orthopedic diagnostics, and horse-rider interaction using techniques like high-speed cameras and inertial measurement units. Dr. Rhodin is a Diplomate of both the American and European Colleges of Veterinary Sports Medicine and Rehabilitation (2017, 2019). Key educational milestones include Associate Professor (Docent) in 2015 and specialist certification in equine veterinary medicine. Her work spans over 150 peer-reviewed articles, with recent focus on lameness assessment in horses, dogs, and cows, and genetic studies on equine gait variations. Notable contributions include identifying new gait-related genes (RELN and STAU2) in Icelandic horses and developing pain scales incorporating facial expressions. Dr. Rhodin has advised 17 PhD students across institutions like SLU, Utrecht University, and the Royal Veterinary College. Her research integrates biomechanical innovation with clinical practice, advocating for objective gait analysis as a gold standard in lameness diagnosis. Collaborations with experts in computer vision and genetics further drive advancements in equine health and sports medicine.

Thorsten Mauritsenمشاهده پروفایل

استاد

• Climate Dynamics
• Global Circulation
• Climate Sensitivity
• +۵ مورد دیگر

Thorsten Mauritsen is a Professor at the Department of Meteorology (MISU) at Stockholm University. His research focuses on climate dynamics, global circulation, and climate sensitivity, with particular emphasis on cloud feedbacks and ocean-atmosphere interactions. He has contributed to major climate models like MPI-ESM and explores paleoclimate constraints on future climate projections. Key research interests include Earth's energy imbalance, Arctic climate processes, and the role of aerosols and clouds in modulating climate sensitivity. Mauritsen has led projects such as the Tropical Precipitation Tipping-Points (TPTP) initiative, investigating Amazon rainforest resilience under climate variability. His recent work emphasizes satellite-based observations and model validation to improve climate prediction accuracy. Collaborative efforts with global initiatives like CMIP6 and CERES underscore his commitment to advancing climate science.

• Information Visualization
• Visual Analytics
• Multidimensional Data
• +۵ مورد دیگر

Rafael Messias Martins is a Researcher at Linnaeus University, affiliated with the Department of Computer Science and Media Technology within the Faculty of Technology. He holds an MSc in Computer Science from the University of São Paulo and a PhD in Computer Science from the University of Groningen. His primary research focuses on Information Visualization and Visual Analytics, particularly emphasizing Multidimensional Data and Networks. He is a core member of the Information and Software Visualization (ISOVIS) research group and leads multiple ongoing and completed research projects, including InfraVis (a national research infrastructure for data visualization) and initiatives addressing medication risks and carbon mitigation in forestry. His work bridges theoretical advancements in visualization with practical applications in education, healthcare, and environmental science. Education MSc in Computer Science, University of São Paulo, Brazil PhD in Computer Science, University of Groningen, Netherlands Research Interests His research explores the intersection of visualization techniques with complex data analysis, emphasizing: Interactive visual analytics for high-dimensional data Machine learning interpretability through visualization Educational data analytics for K-12 institutions Applications in healthcare (e.g., medication risk prediction) and environmental science (e.g., carbon footprint reduction) Development of national visualization infrastructures (InfraVis) Recent Trends in Articles His recent work emphasizes: Enhancing trust in machine learning models through visual explanations Optimizing visualization tools for educational stakeholders Algorithmic fairness in urban planning simulations Scalable dimensionality reduction techniques for streaming data Grants & Collaborations He has coordinated projects such as IDEAL (interaction design curriculum development), TimberVis (3D timber structure visualization), and seed projects addressing carbon mitigation and medication risks. Collaborations span academic, industrial, and governmental partners in Sweden and internationally. Labs & Teams He leads the ISOVIS group, which develops open-source tools like SBGTool (student grouping analytics) and FeatureEnVi (feature engineering visualization). The group also contributes to InfraVis, a national platform for visualization resources.

• Computer Graphics
• Real-Time Rendering
• Algorithms
• +۳ مورد دیگر

Tomas Akenine-Möller is a Professor in the Department of Computer Science at Lund University, affiliated with the Faculty of Engineering (LTH). He is also part of ELLIIT, the Linköping-Lund initiative on IT and mobile communication. His research focuses on real-time rendering, computer graphics algorithms, and human vision modeling, contributing to UN Sustainable Development Goals through technological advancements. Education details are not explicitly provided in the text, but his expertise stems from a strong academic background in computer science and engineering. His research interests include algorithms optimization, ray-tracing techniques, graphic hardware performance, and visual perception models. Recent work trends involve temporal edge detection in human vision, neural compression of material textures, and luminance-preservation in graphics. His projects emphasize practical applications of graphics algorithms in real-world scenarios. No scientific awards are explicitly listed. However, he has supervised doctoral research, including the project 'Evaluating and Improving Rendered Visual Experiences' (2019-2024), where he acted as an assistant supervisor. This project explores enhancing visual rendering quality and user experience. No specific lab or team affiliations are mentioned, but his collaborative networks span multiple countries, reflecting interdisciplinary research partnerships.

Magnus Johannessonمشاهده پروفایل

استاد

• Metascience
• Experimental Economics
• Genoeconomics
• +۳ مورد دیگر

Magnus Johannesson is a Professor and Chaired Professor in the Department of Economics at the Stockholm School of Economics (SSE). His research focuses on Metascience , Experimental Economics , and Genoeconomics , with emphasis on topics like research reproducibility, genetic influences on behavior, and experimental design. He has contributed to high-impact journals such as Nature , Science , and PNAS . Research Interests: Replicability and reproducibility in social sciences Genetic correlates of economic and political preferences Experimental methodologies in behavioral economics Recent work highlights efforts to address analytical flexibility in medical research, evaluate the robustness of studies on gender diversity and economic behavior, and explore the genetic basis of educational attainment. His publications often challenge conventional findings through large-scale replication projects and meta-analyses. Notable contributions include the Estimating the Reproducibility of Psychological Science (2015) and Genome-wide association study identifies 74 loci associated with educational attainment (2016). He actively promotes methodological rigor through pre-registration, structured robustness tests, and open science practices. Professional networks include SSE’s Department of Economics, with collaborations on projects like the COVID-19 Preprint Replication Project . Contact: Email , Google Scholar .

Hanna Holmgrenمشاهده پروفایل

مدرس

• Geospatial Information Science
• Computational Fluid Dynamics
• FRP Composites
• +۱ مورد دیگر

Hanna Holmgren is a Lecturer specializing in computer science and geospatial information systems at the University of Gävle. Her research bridges computational fluid dynamics and educational technology, with publications on microfluidic simulations and AI in learning environments. She contributes to academic discourse through conferences on engineering education innovations.

Håkan Hugossonمشاهده پروفایل

دانشیار

• Physics
• Materials Science
• Computational Physics
• +۳ مورد دیگر

Håkan Hugosson is an Associate Professor at the University of Gävle, specializing in Physics. His research employs advanced computational methods to investigate electronic structures and material properties, with a focus on thermoelectric polymers and nanomaterials. He conducts large-scale quantum mechanical simulations using national supercomputing resources to advance sustainable energy solutions. Research interests span computational physics, materials science, and nanotechnology, including: Electronic structure calculations of conjugated polymers Thermoelectric material optimization Graphene-based sensor development Quantum dynamics of nanomaterials His 15 most recent publications demonstrate a consistent focus on computational materials science, density functional theory applications, and nanomaterial characterization. Work frequently explores polymer physics, sensor technology, surface science, and quantum chemistry. Hugosson's laboratory utilizes high-performance computing for: Molecular dynamics simulations Electronic property analysis Material behavior prediction under varying conditions

Edouard Berrocalمشاهده پروفایل

مدرس ارشد

• Combustion Physics
• Laser Imaging Technology
• Droplet Dynamics
• +۴ مورد دیگر

Edouard Berrocal is a Senior Lecturer in Combustion Physics at Lund University's Faculty of Engineering (LTH). He is affiliated with three LTH profile areas: The Energy Transition, Photon Science and Technology, and Light and Materials. His research focuses on combustion diagnostics, laser-based imaging, and droplet dynamics with applications in energy systems and materials science. He has led six research projects including the Horizon Europe-funded E-COOL initiative for electric motor cooling (2024-2028) and a Vinnova-backed project developing spectroscopic sensors for wastewater analysis. His infrastructure includes the Spray Laboratory for advanced optical diagnostics. Recipient of the 2019 Outstanding Paper Award for sensors innovation 2014 Young Researcher Award in Advanced Optical Technologies 2012 Tanasawa Award for collaborative research excellence Berrocal's recent publications emphasize combustion mechanisms in aluminum droplets, laser microscopy advancements, and spray characterization. He supervises doctoral research in light transport modeling and collaborates internationally across multiple engineering disciplines.

Stefan Lindskogمشاهده پروفایل

استاد

• Cybersecurity
• Network Security
• Intrusion Detection Systems
• +۷ مورد دیگر

Stefan Lindskog is a full Professor at the Department of Computer Science, Karlstad University, Sweden. His research focuses on tunable security services, network security protocols, intrusion detection systems, and encryption methodologies. He has held academic positions at Karlstad University since 1990 and holds a PhD in Computer Engineering from Chalmers University (2005) and a Docent degree in Computer Science from Karlstad University (2008). His work emphasizes practical cybersecurity solutions, including firewall usability, multipath TCP security, and privacy-preserving technologies. Lindskog has authored over 60 peer-reviewed publications, including studies on encrypted network traffic analysis, Tor anonymity vulnerabilities, and firewall rule optimization. He collaborates extensively with industry partners and academic networks, contributing to projects like the EU-funded NEWCOM++ initiative. Teaching: Real-Time Systems (7.5 ECTS) Key Research Themes: Security service tunability, adaptive intrusion detection, and secure communication protocols Collaborations: HITS project (High Quality Networked Services in a Mobile World) Publications span topics from malware detection in encrypted traffic to systematic reviews of firewall usability. Lindskog’s work bridges theoretical security models and operational system implementation, with a focus on real-world applicability in industries like offshore energy and mobile communications.

Cleber Marchioriمشاهده پروفایل

استادیار

• Organic Materials for Energy Conversion
• X-ray Spectroscopy
• Polymer Solar Cells
• +۳ مورد دیگر

Cleber Marchiori is an Assistant Professor at Karlstad University, specializing in experimental and computational studies of organic materials for energy conversion and storage. His research focuses on polymer solar cells, X-ray spectroscopy (NEXAFS, Resonant Photoemission), and atomic-scale modeling using DFT and evolutionary algorithms. He teaches courses in experimental physics, data analysis, solid-state physics, and functional materials. His research emphasizes understanding electronic structures, molecular orientation, and photovoltaic performance through interdisciplinary approaches combining experimental and computational methods. Recent work explores solution-processed polymer films, solvent effects on molecular orientation, and the design of stable organic battery materials. Key publications (2020–2025) address topics like electrochemical stability of polymer electrolytes, interfacial chemistry in Li-metal batteries, and photostability of non-fullerene acceptors. Collaborations with institutions like Uppsala University and Aalto University highlight his network in materials science. Marchiori’s work bridges theory and experiment, contributing to advancements in organic electronics and renewable energy materials. His lab focuses on optimizing material properties for practical applications in solar cells and batteries.

• Wind Power
• Energy Systems
• District Heating
• +۳ مورد دیگر

Fredric Ottermo is an Associate Professor in Energy Engineering at Halmstad University's Department of Building and Energy Engineering, affiliated with the Academy of Entrepreneurship, Innovation and Sustainability. His research focuses on wind power, energy systems, and district heating, with notable contributions to vertical axis wind turbine technology, thermal energy storage, and renewable energy integration strategies. He is part of the ProActS research program and has collaborated on projects like solar-powered district heating and high-temperature thermal storage systems. Ottermo's work spans experimental measurements, computational modeling, and policy-oriented analyses, addressing challenges in energy flexibility, grid integration, and sustainable off-grid solutions. His research interests include wind energy potential assessments in diverse geographical contexts (e.g., Eritrea), aeroacoustic noise reduction in turbines, and optimizing heat distribution systems. Key contributions involve developing calculation models for turbine dynamics, pipe sizing methodologies, and thermal storage system designs. Ottermo's interdisciplinary approach bridges engineering innovation with practical implementation, emphasizing sustainability and scalability. He actively participates in conferences and publishes extensively in peer-reviewed journals and conference proceedings, contributing to both technical advancements and policy discussions in renewable energy sectors. Recent work highlights include a 2025 book on wind power, analyses of energy flexibility in residential buildings, and evaluations of solar district heating with pit storage for Swedish conditions. His projects often involve collaboration with industry partners and international teams, focusing on real-world applications of energy systems research. Ottermo’s research also explores historical reviews of vertical axis wind turbines and innovative solutions for decarbonizing urban energy systems through thermal mass utilization and smart grid technologies.

• Robotics
• Computational Geometry
• Topology in Robotics
• +۳ مورد دیگر

Anastasiia Varava is an affiliated faculty member and PhD student at KTH Royal Institute of Technology, working within the Division of Robotics, Perception and Learning. Her research focuses on computational geometry and topology applied to robotic manipulation, particularly caging theory and its practical implementations for handling rigid and deformable objects. She collaborates with advisors Florian Pokorny and Danica Kragic on theoretical and applied robotics challenges. Her work integrates robotics with interdisciplinary fields such as topology, machine learning, and computer vision. Key topics include path planning, deformable object manipulation, and geometric algorithms for motion verification. Recent contributions emphasize data-driven approaches for latent space modeling and visual action planning in robotics systems. Varava has authored or co-authored over 30 peer-reviewed articles and conference papers, covering topics from caging-based motion planning to molecular screening algorithms inspired by robotics. Her publications span journals like IEEE Transactions on Robotics and conferences such as IROS and ICRA, reflecting a strong focus on practical robotic systems with theoretical rigor. Her doctoral thesis, Path-Connectivity of the Free Space: Caging and Path Existence (2019), established foundational work on caging and path non-existence in robotics. Current projects involve advancing geometric evaluation techniques for data representations and exploring diffusion models for robotic skill learning.

Stefan Engblomمشاهده پروفایل

استاد

• Scientific Computing
• Numerical Methods
• Fast Multipole Methods
• +۳ مورد دیگر

Stefan Engblom is a Professor in Scientific Computing at Uppsala University, Department of Information Technology. His research focuses on developing computational methods and software for scientific applications, with particular expertise in numerical methods, fast algorithms, and simulation of complex systems. He is affiliated with the Scientific Computing division within the Information Technology department at Uppsala University. Engblom's research spans several key areas including fast multipole methods for efficient computation of long-range interactions, stochastic simulation of reaction-diffusion processes in complex geometries, computational epidemiology for modeling disease spread, and fluid dynamics simulations. His work combines theoretical development with practical implementation, resulting in several widely used software packages. His publications reveal a consistent focus on developing efficient numerical algorithms that address computational challenges in various scientific domains. The research shows a progression from fundamental algorithm development (fast multipole methods) to applications in biology (reaction-diffusion systems) and public health (epidemic modeling), demonstrating the versatility and applicability of his computational approaches. Engblom maintains active software development through several research codes including SimInf for epidemic modeling, URDME for reaction-diffusion processes, FMM2D/FMM3D for fast multipole methods, and other specialized tools for fluid dynamics and fiber simulations. His stenglib provides general-purpose Matlab libraries used in his research and available to the broader scientific community.

Sándor Darányiمشاهده پروفایل

استاد

• Digital Libraries
• Information Retrieval
• Digital Preservation
• +۵ مورد دیگر

Sándor Darányi is a Professor at the Swedish School of Library and Information Science, University of Borås (since 2011), with a career spanning over four decades in information science, digital libraries, and cultural heritage preservation. He also holds an Honorary Professorship at Szeged University, Hungary. His research focuses on advanced access to digital libraries, automatic indexing, information visualization, digital preservation, narrative genomics, and quantum interaction models for semantics. Education: Candidate of Science (CSc) in Ethnography, Hungarian Academy of Sciences (1994) PhD in Information Science, Eötvös Loránd University (1989) MA in Library and Information Science, Eötvös Loránd University (1985) MSc in Agricultural Sciences, University of Agriculture (1975) Research Interests: Darányi’s work bridges computational methods with cultural studies, including: - Formalization of folk narratives for big data analysis - Quantum-inspired models of semantic change - Haptic interfaces for accessibility in museums - Evolving semantics in digital ecosystems - Cultural heritage digitization projects Professional Activities: Editorial Board Member of Journal of Information Science Education Organized major conferences such as SEMANTiCS, IC-ININFO, and AMICUS workshops Supervised doctoral students in computer science and information studies Co-developed the PERICLES project on digital preservation Labs/Teams: His research groups have pioneered projects like the MuseIT inclusive museum initiative and the SHAMAN digital preservation framework, leveraging high-performance computing and cloud technologies.

• Building Physics
• HVAC (Heating, Ventilation, and Air Conditioning)
• Energy Efficiency
• +۴ مورد دیگر

Mohsen Soleimani Mohseni is a Senior Lecturer at Halmstad University , affiliated with the School of Business, Innovation and Sustainability . He serves as Programme Director for the Master's Programme in Energy Smart Innovation in the Built Environment. His research focuses on Building Physics , HVAC Systems , and Energy Efficiency , with a particular emphasis on thermal performance optimization, control strategies for heating systems, and the application of artificial intelligence in climate control. Key research interests include: Thermal modeling of building components and systems Energy-efficient HVAC design and retrofitting Artificial neural networks for climate prediction and control Renovation technologies for sustainable buildings His publications span over 20 years, addressing topics such as transient radiator performance, low-energy building controls, and hybrid heating systems. He has authored technical handbooks like Formelsamling i energiteknik and contributed to international conferences on building automation and energy engineering. Mohsen collaborates on projects integrating smart technologies into building design, emphasizing practical solutions for climate-smart infrastructure.