جست‌وجوی استاد و پژوهشگر

• Eco-Hydrology
• Water resources management
• Geomorphology
• +۷ مورد دیگر

Andrea Rinaldo is a distinguished academic serving as Professor of Hydrology and Water Resources at both EPFL (Switzerland) and the Università di Padova (Italy), with a secondary appointment as Professor Emeritus at EPFL. His career includes roles as Director of the Laboratory of Ecohydrology (ECHO) and leadership in civil engineering departments across multiple institutions. Education: Ph.D. in Fluid Mechanics from Purdue University (1983), followed by a BS/MS in Civil Engineering from Università di Padova (1978, summa cum laude). His research focuses on ecohydrology, water resources management, geomorphology, and waterborne diseases such as cholera and schistosomiasis. Notable contributions include modeling disease spread through river networks and understanding ecological patterns in dynamic landscapes. Awards include the Dalton Medal (2005), AGU Fellow (2000), and recognition by prestigious academies like the US National Academy of Engineering (2006). He has authored over 300 publications, with recent work emphasizing climate change impacts, spatial epidemiology, and metapopulation dynamics. His research integrates hydrology, ecology, and public health, addressing global challenges like disease outbreaks and environmental sustainability.

Christer Korinمشاهده پروفایل

مدرس ارشد

• Packaging Technology
• Carton Board Analysis
• Adhesive Joints
• +۴ مورد دیگر

Christer Korin is a Senior Lecturer in Mechanical Engineering at Örebro University's School of Science and Technology. He holds a PhD in Chemical Engineering from Karlstad University (2009) and an MSc in Mechanical Engineering from the Royal Institute of Technology (KTH, 1996). His career spans over two decades in carton board technology, including R&D roles at BillerudKorsnäs AB before transitioning to academia in 2012. He is a docent (Associate Professor) since 2016 and leads research on carton board usability, adhesive joints, and packaging mechanics. Education: MSc, Mechanical Engineering, KTH Royal Institute of Technology, 1996 PhD, Chemical Engineering, Karlstad University, 2009 Research Interests: Focus on optimizing carton board performance through material analysis and structural design. Key areas include adhesive joint mechanics, package deformation under load, tactile sensor integration for compliance testing, and additive manufacturing impacts on material properties. His work bridges fundamental material science with industrial applications in packaging and mechanical engineering. Teaching & Supervision: Teaches Thermodynamics and Energy Technology courses. Supervises BSc/MSc theses in Mechanical Engineering, Industrial Design, and Industrial Engineering & Management programs. Active in guiding research on packaging durability, material testing, and manufacturing processes. Research Projects: Characterization of paperboard for creasing/folding Interaction between tactile sensors and cartonboard packages Deformation modeling of manual-handling carton packages Labs/Groups: Member of the Mechanics and Materials research group at Örebro University, collaborating on interdisciplinary material science and engineering challenges.

Jens Ekengrenمشاهده پروفایل

مدرس ارشد

• Mechanical Engineering
• Materials Engineering
• Additive Manufacturing
• +۳ مورد دیگر

Jens Ekengren is a Senior Lecturer in Mechanical Engineering at Örebro University since 2013, affiliated with the School of Science and Technology and Department of Natural Sciences and Technology. His research focuses on materials engineering, additive manufacturing, and statistical evaluation of defects in steels. He teaches courses in mechanics, materials engineering, and computational methods like FEA/CFD. Education includes a Doctoral Dissertation (2011) on extreme value analysis of steel defects and a Licentiate Thesis (2008) on inclusion content in steels. Key research projects include ATOAM (Additive Manufacturing tooling) and NASCA (agricultural systems). Research interests span statistical defect evaluation (rooted in his PhD work), electrical agricultural vehicles, and additive manufacturing applications in tooling and structural design. Recent publications emphasize 3D printing process optimization, tool cooling design via AM, and material property analysis using computed tomography. No scientific awards explicitly stated. Advising and grants details not provided in text. Active in the Mechanics and Materials research group. Current projects involve data-driven engineering design and agricultural automation.

Amy Loutfiمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۵ مورد دیگر

Amy Loutfi is a Professor of Information Technology at Örebro University, where she leads the AI, Robotics and Cybersecurity Center (ARC), and serves as Program Director for the Wallenberg AI, Autonomous Systems and Software Program (WASP) at Linköping University. Born in Saint John, Canada (1978), she earned her PhD in Computer Science from Örebro University (2006) and became a Docent (2011) and Professor (2015) in Information Technology there. Her research focuses on intelligent sensor systems, particularly their integration with artificial intelligence to convert raw data (e.g., from robotic olfaction or vision sensors) into human-interpretable semantic information. She explores human-robot interaction dynamics, emphasizing safety, collaboration, and usability across diverse environments like homes and industries. Key projects include BioLearning (water quality analysis), MicroSens (taste perception via microbiota), and TeamRob (robot teams working with humans). Amy’s work bridges technical innovation with societal impact, addressing challenges in healthcare, elder care, and smart home technologies. She advocates for Sweden’s national AI strategy and emphasizes ethical considerations in emerging robotics. Her research also involves collaboration with industry and public sectors, as seen in the E-care@home and Mednose initiatives. In 2020, she was elected to the Royal Swedish Academy of Engineering Sciences (IVA) for her contributions. Her grants and projects include strategic funding for AI applications and interdisciplinary collaborations. She collaborates with global teams and contributes to conferences like ICSR (Social Robotics) and ECAI (Artificial Intelligence).

• 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.

Jürgen Jasperneiteمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Industrial Automation
• Real-Time Systems
• +۴ مورد دیگر

Prof. Jürgen Jasperneite is a Full Professor for Computer Networks at Ostwestfalen-Lippe University of Applied Sciences (OWL) in Germany. He also holds a Guest Professor position in Industrial IoT at Mid Sweden University. His primary affiliation is with the Faculty of Electrical Engineering and Computer Science, where he leads research in distributed real-time systems and Cyber-Physical Systems (CPS). Education: He earned his PhD in 2002 from Otto-von-Guericke University Magdeburg. Prior to academia, he worked at Robert Bosch GmbH (1988–1990) and Phoenix Contact GmbH (1990–2005), holding roles from ASIC designer to R&D head of Automation Systems. Research Focus: His work centers on industrial informatics, CPS integration into production systems (via SmartFactoryOWL), and embedded IoT systems for data-intensive applications. He co-founded key institutions including the Institute for Industrial Information Technology (inIT), Fraunhofer IOSB-INA, and the Centrum Industrial IT (CIIT). In 2018, he established 'Lemgo Digital,' an IoT Living Lab for SME cities. Leadership: He led inIT from 2006–2017 and expanded Fraunhofer IOSB-INA into an Application Center with NRW state funding. His initiatives bridge academia and industry, emphasizing CPS and industrial automation technologies.

Faisal Qureshiمشاهده پروفایل

دانشیار

• Computer Science
• Computer Vision
• Machine Learning
• +۴ مورد دیگر

Prof. Faisal Qureshi is an Associate Professor of Computer Science at the University of Ontario Institute of Technology (OntarioTechU), where he directs the Visual Computing Lab. He is also a Guest Professor in Deep Learning/Machine Learning at the same institution and a Visiting Professor affiliated with Computer Engineering and Electronics. His research spans computer vision, embedded IoT systems, and video summarization. Ph.D. and M.Sc. in Computer Science from the University of Toronto M.Sc. in Electronics from Quaid-e-Azam University, Pakistan B.Sc. in Mathematics and Physics from Punjab University, Pakistan Research Focus: Faisal Qureshi's work emphasizes computer vision, camera networks, and data-intensive IoT applications. His projects include Embedded Deep Learning Systems (EDGY) , integrating machine learning with real-time embedded hardware. Scientific Awards: CRV 2017 Best Vision Paper award ACM/IEEE Distributed Smart Cameras 2007 Outstanding Paper award Professional Affiliations: Senior Member of IEEE, member of ACM, and CIPPRS. He has chaired workshops at CVPR (2011-13) and co-chaired CRV (2015/16).

Sławomir Nowaczykمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۷ مورد دیگر

Sławomir Nowaczyk is a Professor at Halmstad University affiliated with the School of Information Technology . His research focuses on Artificial Intelligence , Machine Learning , and Data Mining , particularly for Streaming Big Data and Self-aware Systems . Current research areas: XAI, diagnostics, knowledge representation, and interdisciplinary AI applications Teaching: Artificial Intelligence , Data Mining , and Operating Systems His work emphasizes data-driven fault detection in distributed systems, with applications in Intelligent Vehicles and Healthcare . He develops adaptive interestingness metrics for real-time data analysis and promotes resource-bounded AI for practical environments. Recent publications reflect expertise in hybrid modeling (physics + data-driven), graph neural networks , and cross-modal diagnostic systems . Collaborations span automotive and smart grid industries through projects like VPMS , FuelFEET , and EVE . PhD Supervision : Current: Yuantao Fan, Pablo del Moral, Ece Calikus, Awais Ashfaq, Shiraz Farouq, Alexander Galozy, Kunru Chen, Ghaith Taghiyar, Zahra Taghiyar Past: Rune Prytz (Volvo), Iulian Carpatorea, Hassan Nemati Projects: ReDi2Service, VPMS, InnoMerge, FuelFEET, EIS-IGS Smart Grids, Science without Borders, In4Uptime, ARISE, IMedA, SeMI, HEALTH, BIDAF, EVE

• 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.

Ove Edforsمشاهده پروفایل

استاد

• Radio Systems
• Statistical Signal Processing
• Massive MIMO
• +۵ مورد دیگر

Ove Edfors is a Professor at the Department of Electrical and Information Technology, Lund University, affiliated with the Faculty of Engineering (LTH). His primary research focuses on radio systems, statistical signal processing, and massive MIMO technologies. He is a core member of the LTH Profile Area: AI and Digitalization and the LU Profile Area: Natural and Artificial Cognition. Edfors leads the NEXTG2COM Vinnova Competence Centre and contributes to ELLIIT initiatives. His research spans multi-carrier systems, low-complexity algorithms, and wireless communication applications. Key projects include 6G radio testbed development and millimeter-wave channel characterization. He has co-authored over 225 publications and supervised 22 graduate students. Notable achievements include the IEEE Signal Processing Society Donald G. Fink Award (2023) and the IEEE Communications Society Best Tutorial Paper Award (2018). Recent work emphasizes indoor localization via multi-sensor fusion (LuViRA Dataset) and energy-efficient MIMO processors. Active collaborations involve global institutions and industry partners in 5G/6G infrastructure. Edfors' contributions align with UN SDGs for affordable and clean energy (Goal 7) through energy-efficient wireless systems and innovation (Goal 9).

Anna Överby Wernstedtمشاهده پروفایل

استاد

• Virology
• Immunology
• Infectious Disease Research
• +۳ مورد دیگر

Anna Överby Wernstedt is a Professor in the Department of Clinical Microbiology at Umeå University, focusing on viral infections with a primary emphasis on tick-borne encephalitis virus (TBE) and SARS-CoV-2. She holds an affiliation as Research Fellow and Assistant Director at Molecular Infection Medicine Sweden (MIMS). Her work integrates molecular virology, host-pathogen interactions, and translational research, with a particular interest in understanding viral entry mechanisms, immune evasion strategies, and developing antiviral therapies. Key projects include studying the role of viperin in antiviral defense, evaluating convalescent plasma treatments for severe COVID-19, and investigating TBE's neuroinvasive pathways using advanced imaging and proteomic approaches. Education: Began in civil engineering, transitioned to virology via studies at Umeå and Glasgow Universities, with postdoctoral training in Germany and the U.S. Academic Path: Returned to Umeå as a group leader in MIMS, securing significant grants including a 2020 Swedish Research Council Consolidator Grant (SEK 25.2M) and a 2023 VR Junior Researcher Award. Research Group: Supervises 4 PhD graduates, 7 postdocs, and leads the Överby Lab focused on TBE pathogenesis and antiviral strategies. Collaborations span institutions in Sweden, Germany, and the U.S., emphasizing interdisciplinary approaches to combat viral diseases. Awards: Recognized for her TBE research, including grants supporting multimodal imaging and proteomics studies. Contributions to SARS-CoV-2 research include developing diagnostic tools and clinical trial designs. Future Directions: Prioritizing TBE research while maintaining SARS-CoV-2 studies, aiming to elucidate viral replication mechanisms and identify novel therapeutic targets.

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.

Joacim Rocklövمشاهده پروفایل

استاد مهمان

• Climate Change and Health
• Infectious Disease Epidemiology
• Global Health
• +۳ مورد دیگر

Joacim Rocklöv is a Visiting Professor at Umeå University's Department of Epidemiology and Global Health and an Alexander von Humboldt Professor at Heidelberg University's CSID Lab. His research focuses on the intersection of climate change, global health, and infectious disease epidemiology. He leads projects on predictive modeling for emerging diseases, early warning systems, and climate-driven health impacts. As a Docent, he emphasizes using climate information for public health prevention, with a focus on vector-borne diseases like dengue and West Nile virus. Research Projects: BEPREP (2022–2027) IDAlert: Infectious Disease Decision-Support Tools (2022–2027) Zika Preparedness Latin American Network (2016–2020) Key Research Interests: Climate change impacts on disease transmission, vector ecology (Aedes mosquitoes), and developing predictive algorithms for public health preparedness. His work spans global regions, including Southeast Asia, Africa, and Europe. Awards: Docent (Swedish Higher Academic Title) Grants & Collaborations: Leads international projects funded by the EU, WHO, and the Lancet Countdown. His lab develops tools for climate resilience and health policymaking. Labs/Teams: Heads the Joacim Rocklöv Lab Group at Umeå and collaborates with the CSID Lab at Heidelberg University.

Johan Watzمشاهده پروفایل

دانشیار

• Stream Ecology
• Behavioral Ecology
• Conservation Biology
• +۵ مورد دیگر

Johan Watz is an Associate Professor in Biology Research at Karlstad University, specializing in stream ecology and conservation biology of fishes. He serves as coordinator for the Biology Bachelor's programme and organizes academic events like Grön dag. His roles extend beyond academia: he is an expert member of the Swedish Land and Environment Court (Aquatic Ecology), the Water Council of River Klarälven, and the editorial board of Ecology of Freshwater Fish . He collaborates with government agencies (e.g., County Administrative Boards, EPA) and industries including hydropower companies (Uniper, Fortum, Vattenfall) and consultants. Research focuses on salmonid behavior in regulated rivers, effects of climate change on aquatic systems, fish passage solutions, and terrestrial gastropod ecology. He uses individual-based modeling to study population dynamics and habitat restoration strategies. Notable interests include hydropeaking impacts, predator-prey interactions, and invasive species management. Recent work highlights contributions to fishway design, drought resilience in mountain stream species, and embryonic thermal effects on predator avoidance. He has pioneered studies on European eel migration barriers and slug dispersal in urban environments. Publications span over 50 peer-reviewed articles since 2011, with a focus on bridging ecological theory and applied conservation solutions. His work intersects disciplines like biostatistics, environmental engineering, and policy-making to address global challenges in freshwater ecosystems.