جست‌وجوی استاد و پژوهشگر

Christoffel Kuenenمشاهده پروفایل

دانشیار

• Interaction Design
• Design Research Practices
• Aesthetics of Interaction
• +۵ مورد دیگر

Christoffel Kuenen is an Associate Professor at the Umeå Institute of Design (UID), part of Umeå University. He serves as Deputy Program Director for the MFA Programme in Interaction Design and contributes to teaching across UID's programs. His research focuses on the aesthetics of interaction in digital systems, exploring how design mediates human-technology relationships. He holds a PhD from UID (2018) after a decade in industry roles including leading R&D in multinational companies. Key research areas include co-creation methodologies, embodied interaction, and the ethical implications of communication technologies. Education background: Industrial Design Engineering from Delft University of Technology (2002), with MIT MediaLab collaboration. Professional experience spans strategic design, product development, and international production systems. His work bridges design practice and theory, emphasizing education-research synergies. Current research projects include 'Bots’n People' (2020-2024) on perceptual crossing in videoconversations and 'CoDesign for Chronic Disease Management'. He is part of the Interpresence Institute research group. Publication themes revolve around co-creation frameworks, digital interaction aesthetics, and design research methodologies.

Karey Helmsمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Interaction Design
• Ethical Technology
• +۳ مورد دیگر

Karey Helms is an Associate Professor of Design at the Umeå Institute of Design (UID), part of Umeå University, and a Digital Futures Postdoctoral Fellow at Stockholm University. She holds a BS in Architecture from the University of Virginia, a MFA in Interaction Design from UID, and a PhD in Interaction Design from KTH Royal Institute of Technology. Her research explores technology's role in non-traditional contexts such as care settings, outdoor environments, and bodily interactions. Key interests include regenerative material ecologies, ethical design for bodily fluids, and more-than-human design principles. She critiques how technology entangles with nondigital matter, advocating for responsible design that addresses bodily needs and environmental ethics. Her recent publications (2017–2025) focus on HCI, material interactions, and ethical frameworks for emerging technologies. Representative works include studies on 'leaky objects' in design, 'careful design' methodologies, and speculative ethics for bodily fluid interfaces. She has received the Digital Futures Postdoctoral Fellowship, supporting her interdisciplinary work at Stockholm University. While no specific grants or advising details are provided, her prior industry experience in IoT design informs her academic practice.

Seong-Gyu Yangمشاهده پروفایل

پژوهشگر

• Statistical Physics
• Complex Systems
• Network Theory
• +۳ مورد دیگر

Seong-Gyu Yang is a researcher in the Department of Physics at Umeå universitet, Sweden, holding a postdoctoral position within the IceLab research group. His work focuses on applying statistical physics to interdisciplinary problems in biology, ecology, and network theory. He completed his PhD at Sungkyunkwan University (South Korea), followed by postdoctoral research at the Asia Pacific Center for Theoretical Physics and the Korea Institute for Advanced Study. Yang’s current research investigates aging mechanisms through epigenetic clocks, leveraging stochastic models of DNA methylation dynamics in CpG clusters. This work aims to link methylation patterns to biological age prediction. His broader interests include network structures, ecological modeling, and complex systems analysis. He collaborates with Ludvig Lizana on projects like the 2022–2025 initiative studying epigenetic clocks as biomarkers for aging. Notable research trends include interdisciplinary applications of statistical physics to biological systems (e.g., protein-DNA interactions), network theory, and social dynamics. His publications span topics from phase transitions in coupled oscillators to machine learning for power-grid stability. Yang participates in the Ludvig Lizana Lab and IceLab (Interactive Control and Learning Lab), focusing on theoretical and computational approaches to complex systems.

Elizabeth Van Couveringمشاهده پروفایل

استادیار

• Political Economy of Digital Media
• Search Engine Algorithms
• Data Visualization
• +۳ مورد دیگر

Elizabeth Van Couvering is an Assistant Professor of Media and Communication Studies at Karlstad University, Sweden. She holds a PhD from the London School of Economics and Political Science, an MBA from the Open University, and a BA in Cultural Anthropology from Bryn Mawr College. Her research focuses on the political economy of digital platforms, search engines, algorithmic gatekeeping, and gig economy labor dynamics. She also explores data visualization and climate communication. Teaching responsibilities include media theory, strategic communications, science and technology studies, and data visualization courses. Current research projects include 'Algorithms and media organisations' and 'SWEGIG' (job intermediary platforms in Sweden). Her work draws from over three decades of industry experience in digital media, including roles at early internet companies like Cyberia, Easynet, and Webmedia. Education: PhD, London School of Economics and Political Science (2002) MBA, Open University BA, Bryn Mawr College Her research highlights platform power structures, algorithmic accountability, and the socio-economic impacts of digital transformation. Recent work examines AI chatbots' political information retrieval and gig workers' resistance to algorithmic management. She has co-authored influential studies on search engine bias, media literacy, and VR immersion theory. Professional activities include advising projects for Nielsen Online and IAB Europe, while personal interests bridge technology and textile crafts—she has hacked knitting machines using Arduino chips. She collaborates with Karlstad colleagues on interdisciplinary projects and teaches in Swedish ("och svenska!").

• Computer Networking
• Low Latency Communication
• Multi-Path Systems
• +۳ مورد دیگر

Johan Garcia is an Associate Professor of Computer Science at Karlstad University, Sweden, where he earned his Ph.D. in 2005. His research focuses on computer networking, particularly low-latency communication in multi-path systems, Starlink satellite performance, and deterministic network emulation using tools like KauNetEm. He has led projects such as the 8-year DRIVE initiative and the HITS project, collaborating with industry partners like Icomera. His work includes evaluating cellular and satellite connectivity for trains, as well as machine learning explainability and network protocol optimization. Education: Ph.D. in Computer Science (Karlstad University, 2005). Key projects include KauNetEm development, mobility testing across the Arctic Circle for Starlink/5G, and sectorization-based localization algorithms for eNodeBs. His research spans wireless networking, protocol evaluation, and algorithmic optimization for network reliability and performance. Research interests include: satellite communication performance, cellular networks in high-speed mobility, deterministic network emulation, ML model interpretability, and protocol efficiency in heterogeneous networks. He has advised multiple master’s and bachelor’s projects and contributed to over 100 publications since 2000. Notable collaborations include the EU FP6 Newcom Network of Excellence and the Swedish Knowledge Foundation-funded 'Reliable and Secure Communication in SCTP' project. Current roles include sub-project manager in DRIVE and co-leader of wireless network modeling work packages.

Farzaneh Karegarمشاهده پروفایل

مدرس ارشد

• Usable security and privacy
• Algorithmic transparency
• Privacy-preserving data analytics
• +۳ مورد دیگر

Farzaneh Karegar is a Senior Lecturer at Karlstad University, Sweden, specializing in usable security and privacy. Her work focuses on transparency-enhancing tools (TETs/PETs), algorithmic transparency, and responsible AI. She leads collaborations in projects like A4Cloud, CREDENTIAL, PAPAYA, and TRUEdig, addressing privacy challenges in digital systems. Education: Not explicitly stated in available texts. Affiliations: Member of the CREDENTIAL project team and other EU-funded initiatives. Her research emphasizes user-centered privacy solutions, including privacy notifications, dynamic consent mechanisms, and user-friendly metaphors for complex privacy concepts. Key contributions include studies on fingerprint recognition usability and cloud-based identity management interfaces. She has received Best Paper Awards for work on privacy interfaces and identity management. Notable projects include developing the CREDENTIAL Wallet for secure identity management, evaluating user engagement in privacy notices, and exploring transparency of privacy risks through visualizations. Her work bridges technical privacy solutions with human factors to empower users in data-driven environments.

Carin Lindskogمشاهده پروفایل

استادیار

• Agile Software Development
• Organizational Tensions
• Ambidexterity in Projects
• +۳ مورد دیگر

Carin Lindskog is an Assistant Professor at Karlstad University, specializing in Agile Software Development and organizational tensions within project environments. She defended her dissertation in December 2022, titled 'Tensions experienced and balancing strategies used in Agile Software Development environments.' Her research examines contradictions and balancing strategies in Agile contexts, particularly in government agencies and public sector projects. Her work bridges activity theory, ambidexterity frameworks, and innovation management. Her research interests include Agile methodologies, exploration-exploitation trade-offs, project management competence, and organizational change. Lindskog has conducted studies on Swedish academic research projects, government IT systems, and consulting practices in the IT sector. Key themes in her publications include managing stability and change in teams, resolving contradictions through activity theory, and enhancing ambidexterity in software development. Notable contributions include analyzing contradictions in government agency projects, conceptualizing ambidexterity in Agile environments, and examining project management competencies at Karlstad University. Her work frequently employs case studies and theoretical frameworks to address practical challenges in software development and organizational dynamics. While no scientific awards are explicitly listed, her active research output since 1999 demonstrates consistent scholarly engagement. She holds a permanent academic position and has advised multiple projects but no explicit student names are recorded in the provided texts.

• Lubrication Engineering
• Manufacturing Processes
• Surface Engineering
• +۳ مورد دیگر

Hans Löfgren is a Senior Lecturer at the Academy of Entrepreneurship, Innovation and Sustainability at Halmstad University. His research focuses on tribology, surface engineering, manufacturing processes, and engineering education. Key areas of expertise include lubrication systems, material testing, and the integration of computational methods in teaching. He has published extensively on topics such as friction modeling in automotive components, surface finish optimization for engine parts, and innovative deicing solutions for wind turbines. His work bridges theoretical analysis with practical applications in industry and education. Notable contributions include developing concept-based modeling techniques for problem-solving and advancing computer-based mathematics in engineering curricula. His research often involves experimental validation of surface performance and manufacturing processes.

• Computational Mathematics
• Finite Element Methods
• Scientific Computing
• +۳ مورد دیگر

Anders Logg is a Professor in Applied Mathematics and Statistics at the University of Gothenburg, leading the Digital Twin Cities Centre. His work focuses on computational mathematics, finite element methods, and scientific software development. He is a core contributor to the FEniCS Project, an open-source computing platform for solving partial differential equations. Research interests include numerical analysis, multiphysics simulations, and applications in engineering, biology, and physics. Notable contributions include multimesh finite element methods, CutFEM techniques, and real-time simulations in augmented reality. Logg's work bridges theoretical mathematics with practical software implementation, emphasizing reproducibility and accessibility. Publications highlight advancements in mesh adaptation, error analysis, and fluid-structure interaction modeling. His collaborative projects span academia and industry, addressing challenges in computational geometry, urban modeling, and gravitational physics. Current efforts involve developing digital twin technologies for smart cities through the Digital Twin Cities Centre.

• Autonomous Systems
• Robotics
• Computer Vision
• +۳ مورد دیگر

Daniel Duberg is a Researcher and PhD candidate at the Division of Robotics, Perception and Learning (RPL) within the School of Electrical Engineering and Computer Science at Kungliga Tekniska Högskolan (KTH). His research focuses on autonomous exploration and real-time 3D mapping using unmanned aerial vehicles (UAVs), emphasizing onboard processing for indoor environments. He has contributed to frameworks like UFOMap, which address dynamic environments and efficient data structures. His work integrates probabilistic modeling, sensor fusion, and real-time algorithms to enhance UAV navigation and decision-making. Notable projects include dynamic-aware mapping (DUFOMap) and exploration strategies guided by formal methods like Signal Temporal Logic. Duberg teaches engineering courses in robotics and collaborates on open-source tools for autonomous systems. His research trends emphasize scalability, robustness in uncertain conditions, and adaptive planning for long-term autonomy. He has published widely on exploration algorithms, volumetric mapping, and UAV navigation challenges, with applications in both static and dynamic environments. Duberg’s academic contributions span over a decade, with early work on tele-operation safety and recent advancements in semantic mapping and multi-sensor fusion. His research bridges theoretical foundations with practical implementations for deployable robotic systems.

• Computer Vision
• Remote Sensing
• Climate Change
• +۳ مورد دیگر

Sebastian Gerard is a Researcher and PhD student at the Division of Robotics, Perception and Learning, KTH Royal Institute of Technology. His work focuses on applying machine learning and computer vision to address environmental challenges, particularly wildfire prediction and disaster response through remote sensing. He has contributed to the development of datasets like WildfireSpreadTS and TS-Satfire, advancing multimodal time-series analysis for wildfire spread prediction and disaster management. Education details: While specific academic credentials are not explicitly listed, his role as a PhD student indicates ongoing advanced studies in Robotics, Perception, or related fields. Research interests include wildfire prediction using satellite imagery, climate change mitigation via machine learning, and improving geospatial data analysis for disaster response. His work bridges computer vision techniques with environmental science, aiming to create actionable insights from remote sensing data. Publications reflect contributions to wildfire modeling, semantic segmentation robustness, and smart grid automation. Collaborations include work with Josephine Sullivan and Paul Borne-Pons, addressing challenges in domain-specific pretraining and dataset validation. Labs/Teams: Active in KTH's Robotics and Perception research groups, contributing to projects involving wildfire datasets and remote sensing applications.

• Control Theory
• Dynamical Network Systems
• Social Network Analysis
• +۳ مورد دیگر

Ye Tian is a Researcher at the Division of Decision and Control Systems at KTH Royal Institute of Technology. His current position is under the supervision of Professors Karl Henrik Johansson and Angela Fontan. He holds a PhD in Control Theory and Control Engineering from Xidian University (2021), advised by Professor Long Wang. Previously, he was a visiting student at the University of California, Santa Barbara (2017–2019), working with Professors Francesco Bullo and Noah E. Friedkin. Between 2021 and 2025, he held research positions at Peking University, Kyoto University, and Nanyang Technological University. His research focuses on dynamical network systems, particularly in social networks applications. This involves interdisciplinary approaches combining control theory, network dynamics, and computational methods. His work addresses challenges in system stability, distributed control, and networked decision-making processes. Ye Tian's scholarly contributions span high-temperature electronics, silicon carbide integrated circuits, and sigma-delta modulators. His publications highlight advancements in semiconductor materials and circuit design for extreme environments, with applications in aerospace, energy systems, and sensor networks.

• Cardiology
• Vascular Biology
• Genetics
• +۳ مورد دیگر

Hanna Björck is a Senior Research Specialist (Docent) at the Karolinska Institutet , leading a translational research group focused on molecular and epidemiological studies of ascending aortic aneurysms (AscAA). Her work integrates clinical cohort analysis, multiomic profiling, and in vitro functional studies of vascular cells. Education: PhD in Physiology (2012), Linköping University Postdoctoral Fellowship, Karolinska Institutet (2012-2016) Research: Mechanisms of AscAA in bicuspid aortic valve (BAV) and degenerative disease Biobank of >2400 patients with vascular tissue and biomarker collections Genetic risk factors, DNA methylation, and flow-dependent endothelial dysfunction Grants: Prince Daniel’s Research Grant for Promising Young Researchers (2025-2027) Swedish Heart-Lung Foundation Fellowship (2025-2030) Swedish Research Council (2021-2023; 2017-2020) Swedish Heart-Lung Foundation (2019-2021) Collaborations: STAR (Stockholm Aneurysm Research Group) Prof. Anders Franco-Cereceda & Docent Christian Olsson (Karolinska University Hospital) Docent Joy Roy & Prof. Rebecka Hultgren (Vascular Surgery, Karolinska) Dr. Maria Sabater Lleal (Genetic Analyses, Barcelona) Dr. Pelin Sahlén (Promoter-Enhancer Mapping, SciLifeLab)

• Neuroscience
• Neural Circuits
• Motivated Behaviors
• +۶ مورد دیگر

Konstantinos Meletis is a Professor at the Department of Neuroscience, Karolinska Institutet, Stockholm. His research focuses on understanding the neural circuit mechanisms underlying motivated behaviors and the circuit imbalances associated with mood disorders. He leads a research group investigating how brain circuits regulate emotional states, stress responses, and decision-making processes. Education & Appointments: PhD in Cell and Molecular Biology, Karolinska Institutet (2006) Docent in Systems Neuroscience, Karolinska Institutet (2015) Professor of Systems Neuroscience, Karolinska Institutet (2021–present) Research Interests: Dr. Meletis' work combines cutting-edge techniques such as optogenetics, spatial transcriptomics, and circuit mapping to study dopamine systems, striatal pathways, and the molecular basis of mood disorders. Key themes include: Circuit mechanisms of chronic stress and aversive states Neural substrates of prosocial motivation Mapping brain-wide neuronal connectivity Role of hypothalamic-habenula circuits in emotional regulation Grants & Awards: 2024 Arvid Carlsson Foundation Prize for neuropsychiatric research Swedish Research Council grants (multiple awards since 2013) Knut and Alice Wallenberg Foundation grant (2020–2025) Lab & Collaborations: His group collaborates with teams across neurobiology and computational neuroscience. Key projects include developing molecular atlases of brain regions and studying neuronal vulnerability in Parkinson’s disease. The lab uses advanced imaging and genetic tools to dissect circuit-level dysfunction in mental health disorders.

Hans Hanssonمشاهده پروفایل

استاد

• Real-Time Systems
• Cybersecurity
• Industrial Control Systems
• +۶ مورد دیگر

Hans Hansson is a Professor at Mälardalen University since 1997, leading the Mälardalen Real-Time Research Centre (MRTC) and the strategic profile area Trusted Smart Systems (TSS). He holds multiple degrees from Uppsala University, including an MSc in Engineering Physics and a Doctor of Technology in Computer Systems. His research focuses on real-time systems, cybersecurity, industrial control systems, and safety-critical systems. He has advised over 20 PhD students, five of whom became university professors. Hans has secured over 500 MSEK in external funding from national and European grants. His work spans fault-tolerant systems, embedded software verification, and compositional safety analysis in complex systems. Key projects include the development of the Pkl language for operational design domains, security frameworks for industrial IoT systems (e.g., ICSSIM testbeds), and real-time storage solutions for fog computing. He also chairs the PROGRESS Centre for Predictable Embedded Software Systems. Publications emphasize cybersecurity in industrial systems, safety-critical software design, and real-time scheduling in time-triggered networks. His research bridges theory and practice, addressing challenges in autonomous systems, mining automation, and Industry 4.0.