جست‌وجوی استاد و پژوهشگر

• Self-Adaptive Systems
• Cyber-Physical Systems
• Software Engineering
• +۴ مورد دیگر

Danny Weyns is a Professor at Linnaeus University's Department of Computer Science and Media Technology, Faculty of Technology. He leads the AdaptWise research group focusing on self-adaptive software systems and contributes to the Linnaeus University Centre for Data Intensive Sciences and Applications. His work spans cyber-physical systems, digital twins, and formal methods for system adaptation. Education: Extensive academic background in computer science, with a focus on multi-agent systems and distributed computing. Notable projects include the Aladino project on digital twins and PROSSES on secure systems. Research interests emphasize self-adaptive systems, runtime decision-making, and integrating AI with adaptive mechanisms. His publications address challenges like adaptation space reduction, uncertainty management, and industry applications of self-adaptation. Key contributions include the ActivFORMS framework for model-based adaptation and the development of methodologies like ASPLe for systematic reuse in self-adaptive systems. He collaborates internationally and chairs conferences like SASO and SEAMS.

• Internet of Things (IoT)
• Wireless Sensor Networks
• Machine Learning
• +۶ مورد دیگر

Mattias O'Nils is a Professor at Mid Sweden University's Department of Computer and Electrical Engineering (DET) and Head of the STC Research Centre. His research focuses on Internet of Things (IoT) systems, wireless sensor networks, machine learning, and computer vision with applications in industrial monitoring, forestry automation, and medical imaging. Lead author in 2025 IEEE Access paper on multi-component fault diagnostics Developed AdVision system for advertisement detection in printed media Co-inventor of Time-dependent Clustering Loss for DNN optimization His work spans edge computing, data fusion, and energy-efficient sensor networks, with recent emphasis on deep learning applications in healthcare and industrial systems. Publications highlight collaborations with researchers across multiple domains including forestry technology and skin lesion classification. Current research trends include distributed CNN optimization , contextual domain adaptation , and real-world energy consumption modeling for IoT devices. He supervises projects in the STC Research Centre related to smart industry solutions and transformative technology.

Torkel Strömstenمشاهده پروفایل

دانشیار

• Management Accounting
• Corporate Governance
• Sustainability
• +۵ مورد دیگر

Torkel Strömsten is an Associate Professor at the Department of Accounting, Stockholm School of Economics (SSE). He concurrently holds a part-time Professorship at Halmstad University and previously served at KTH Indek. His research focuses on management accounting and control systems, sustainability, climate risk accounting, and innovation networks. Strömsten leads SSE’s Accounting Frameworks platform within the MISUM sustainability center and directs the Business Performance Diploma (BPD) program for senior finance professionals in Nordic companies like Ericsson and Atlas Copco. His academic contributions span over two decades, with publications in journals such as Management Accounting Research and Accounting, Organizations and Society . Notable projects include studying target costing at IKEA and TCFD reporting’s role in sustainable finance. Awards include a post-doctoral fellowship from the Jan Wallanders and Tom Hedelius Foundation (2002–2005). Strömsten’s work bridges accounting practices with strategic innovation and global supply chain sustainability. He has advised multinational corporations and led research initiatives like FIRE (Forskningsskolan i Redovisning). His recent articles emphasize financialization challenges and the interplay between cultural contexts and management control systems.

• Machine Learning
• Artificial Intelligence
• Industrial Informatics
• +۲ مورد دیگر

Gunnar Mathiason is Associate Professor in Computer Science at the University of Skövde's School of Informatics. His research bridges artificial intelligence and industrial applications, particularly in manufacturing optimization and network systems. Current projects include ProcTwin (2025-2028) developing digital twins for steel production and ShiftLabs (2023-2025) supporting digital transformation in manufacturing. Mathiason's publications demonstrate expertise in applying machine learning techniques to industrial challenges, with consistent focus on predictive modeling and process optimization in manufacturing environments. Recent work shows evolution toward explainable AI and complex system analysis.

Monica Canepaمشاهده پروفایل

مدرس

• Port Energy Transition
• Maritime Economics
• Cold Ironing Technology
• +۲ مورد دیگر

Monica Canepa is a Lecturer in Maritime Energy Management Research at World Maritime University, specializing in transport economics and policy with PhD research focused on energy economics in ports. Her work examines socio-economic dimensions of maritime decarbonization, including cold ironing systems, LNG adoption, and port microgrids. She coordinates research conferences and manages projects for the University of Genoa. Canepa's extensive publication record addresses port energy transitions, cybersecurity in maritime logistics, circular economy implementations, and LNG market expansion in the Baltic region. She develops specialized training programs for maritime energy technologies and has contributed to EU Horizon cybersecurity projects.

Anders Wåhlinمشاهده پروفایل

دانشیار

• Cerebral Hemodynamics
• Neuroimaging
• Aging Neuroscience
• +۲ مورد دیگر

Anders Wåhlin is Associate Professor at Umeå universitet's Department of Applied Physics and Electronics, with additional affiliations in Biomedical Engineering and Functional Brain Imaging where he serves as Director of the Umeå Centre for Functional Brain Imaging (UFBI). His multidisciplinary research integrates neuroimaging, hemodynamics, and aging neuroscience. Research focuses on cerebrovascular physiology using advanced 4D flow MRI techniques to investigate cerebral blood flow regulation, vascular stiffness, and blood-brain barrier integrity in aging populations. Additional work explores neurochemical pathways linking dopamine receptor availability to cognitive decline. Publications demonstrate consistent emphasis on neurovascular coupling mechanisms, with methodological innovations in MRI quantification and computational fluid dynamics modeling. Recent work establishes connections between vascular pathology, neuroinflammation, and neurodegenerative processes. Leads multiple research groups in Biomedical Engineering and coordinates the MT4North project developing medical technology business models.

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.

John Sören Petterssonمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Usability Engineering
• Privacy-Enhancing Technologies
• +۶ مورد دیگر

John Sören Pettersson is a Professor of Information Systems Research at Karlstad University, Sweden. He leads research in Human-Computer Interaction (HCI), with a focus on usability methodologies, privacy-enhancing technologies, and crisis management training systems. As former Dean of the Faculty of Economics, Communication and IT (2009-2012) and Director of the HumanIT Research Center (2000-2006), he has held significant academic leadership roles. His research spans multiple areas including: 1) Crisis Management Training via digital tools (e.g., CriseIT Interreg projects), 2) Mobile Technology for Development (M4D) through conferences like M4D 2022 in Rwanda, and 3) Usable privacy in cloud computing (e.g., CREDENTIAL EU projects). He co-developed Ozlab, a non-programming prototyping system, and its web-based successor. Teaching responsibilities include courses in HCI, Information Systems, and interdisciplinary programs like Rules-as-Code applications and AI in Law (starting 2024). He supervises students at all academic levels and collaborates with organizations including the Swedish Tax Agency and local game developers through The Great Journey partnership. Recent projects include the INCREDILAB initiative (2024-2026) addressing climate resilience education and digital transformation, plus pilot studies on generative AI in legal applications. His work bridges technical innovation with societal challenges, emphasizing user-centered design principles across domains.

• Pollination Ecology
• Biodiversity Conservation
• Agricultural Sustainability
• +۳ مورد دیگر

Björn Klatt is a Lecturer at the Academy of Entrepreneurship, Innovation and Sustainability at Halmstad University. His research focuses on enhancing agricultural sustainability through pollination strategies, particularly leveraging bee biodiversity to improve crop resilience under climate change. Key interests include pesticide impacts, land-use effects on pollinators, and climate adaptation in agroecosystems. Research projects include the ThinkBee initiative, exploring bee conservation in agricultural landscapes. His work emphasizes field-based methodologies, such as roadside vegetation surveys and wetland inventories using stand-up paddleboards (SUP). Over 30 publications since 2012 span topics like pollinator behavior, pesticide toxicity, and climate-driven crop stability. Publications highlight trade-offs between insecticide use and pollinator health, with recent studies on flower-rich road verges boosting pollinator abundance. Klatt collaborates across disciplines to integrate ecological data into policy frameworks for sustainable farming practices. Current research explores multifunctional wetlands and trophic cascades under extreme weather events.

• 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.

• Environmental Science
• Ecotoxicology
• Waste Management
• +۳ مورد دیگر

Sylvia Waara is a Lecturer at Halmstad University, affiliated with the Academy of Entrepreneurship, Innovation and Sustainability. Her research focuses on environmental contamination, ecological risk assessment, and bioremediation of pollutants such as heavy metals, organic micropollutants, and landfill leachate. She has extensive experience in analyzing the effectiveness of constructed wetlands, bioindicators for atmospheric pollution, and the environmental impact of industrial and urban contaminants. Her work spans multiple decades, with notable contributions to understanding contaminant behavior in water systems, soil remediation strategies, and the application of bioassays for hazard assessment. Key themes include emerging contaminants in freshwater ecosystems, trace element accumulation in stormwater ponds, and the long-term performance of treatment systems. Recent publications (2022–2023) emphasize risk-based screening and ecological risk mitigation in Swedish freshwater and industrial contexts. Dr. Waara’s articles demonstrate a consistent focus on practical solutions for pollution control, including leachate treatment optimization and the use of pine bark and blast furnace slag as sorbent materials. While her research has explored diverse topics—from potato somatic hybrids in the 1980s/1990s to modern wetland systems—her current work prioritizes environmental sustainability and innovative remediation techniques.

• Complex Geometry
• Algebraic Geometry
• Differential Geometry
• +۳ مورد دیگر

David Witt Nyström is a Professor at the University of Gothenburg’s Department of Algebra and Geometry. His research focuses on complex geometry, particularly Okounkov bodies, Kähler manifolds, Monge-Ampère equations, and geometric analysis. He has made significant contributions to the study of Fekete points, Hele-Shaw flows, and embeddings of Kähler balls. Key research areas include algebraic geometry, differential geometry, and mathematical analysis. His work bridges convex geometry with complex analysis, addressing topics like Brunn-Minkowski theorems, Monge-Ampère mass distributions, and coupled Kähler-Einstein metrics. Recent publications explore harmonic interpolation, duality between pseudoeffective and movable cones, and geometric flows. Publications span advanced topics such as convex subequations, non-pluripolar energy, and analytic test configurations. Despite prolific output, no specific scientific awards or grants are explicitly mentioned. No advising or lab affiliations are noted in the provided text.

• Environmental Science
• Water Quality Management
• Spectroscopic Analysis
• +۳ مورد دیگر

Kathleen Murphy is a Professor in the Department of Water Environmental Technology at Chalmers University of Technology, specializing in the application of spectroscopic techniques to analyze dissolved organic matter in water systems. Her research focuses on fluorescence-based methods for distinguishing water sources, detecting quality changes, and optimizing water treatment processes. She has developed influential open-source tools like the drEEM toolbox and OpenFluor database. Her work spans natural aquatic systems (freshwater/oceanic) and technical systems (drinking water, wastewater, ballast water). Current projects include improving water treatment sensors, UV disinfection indicators, and carbon management strategies. Funding sources include Formas, VINNOVA, and industry grants. Key research themes include fluorescence spectroscopy applications, organic matter reactivity, and biofilter optimization. Her interdisciplinary approach addresses global water quality challenges, with over 37 peer-reviewed publications and 10 active research projects since 2018.

Sindri Magnússonمشاهده پروفایل

دانشیار

• Distributed Optimization
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Sindri Magnússon is an Associate Professor and Senior Lecturer at Stockholm University's Department of Computer and Systems Sciences (DSV), part of the Data Science Research Group. He holds a B.Sc. in Mathematics from the University of Iceland (2011), a Master’s in Applied Mathematics (Optimization and Systems Theory) from KTH Royal Institute of Technology (2013), and a Ph.D. in Electrical Engineering from KTH (2017). He completed a postdoctoral fellowship at Harvard University (2018–2019) and was a visiting PhD student there in 2015–2016. His research focuses on distributed optimization, decision-making, and machine learning in cyber-physical systems and IoT. Key projects include AI-driven equitable decision-making, smart converter control for renewable energy systems, federated reinforcement learning, and sustainable data-driven algorithms. His work bridges core data science with applications in critical infrastructures, energy systems, and societal challenges. Recent articles explore multi-objective optimization for satellite scheduling, federated learning for privacy-preserving AI, and reinforcement learning in non-stationary environments. His contributions span theory and practice, addressing scalability, sustainability, and ethical AI. He is actively involved in the Data Science Research Group, which develops algorithmic methods for decision-making in smart cities and energy systems. No awards or grants are explicitly listed, but his projects suggest significant research funding and collaboration.

• Operational Research
• Cybernetics
• Multi-Agent Systems
• +۳ مورد دیگر

Guanpu Chen is a Research Fellow at the Division of Decision and Control Systems, School of Electrical Engineering and Computer Science (EECS), KTH Royal Institute of Technology. His supervisor is Prof. Karl Henrik Johansson. He holds a Ph.D. from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, under the supervision of Prof. Yiguang Hong. His research focuses on operational research and cybernetics, with emphasis on Multi-Agent Systems Distributed Optimization Network Games Cybersecurity No publications or awards are explicitly listed on the provided profile.