جستجوی استاد راهنمای دانشگاهی

Roger Olsson är forskare vid Mid Sweden University , anställd vid Department of Computer and Electrical Engineering (DET) . Han är verksam inom områdena 3D Imaging , Image Compression och Depth Image Analysis , med särskild fokus på tekniker för ljuddjupskomprimering, sensorfusion och 3DTV. Verksam som Researcher med doktorsexamen i Engineering Arbetar med Light Field Compression , Depth Sensing och Virtual Reality Har publicerat i tidskrifter som IEEE Transactions on Image Processing och Journal of Visual Communication and Image Representation Olsson har bidragit med 15+ vetenskapliga publikationer mellan 2005-2025, inklusive projekt som PLENOPTIMA - Plenoptic Imaging , LIFE - Light Field Evaluation System och VRoom - Virtual Reality as a Door Opener . Hans senaste artiklar (2024-2025) behandlar Deep Learning-baserad light field komprimering och AI-drivna lösningar för immersive telepresence .

• 3D Imaging
• Image Compression
• Computer Vision
• +۴ مورد دیگر

Irida Shallari is a Lecturer in the Department of Computer and Electrical Engineering (DET) at Mid Sweden University, specializing in Intelligence Partitioning for IoT systems. Her research spans Deep Learning , Embedded Systems , and Data Fusion , with applications in Edge Computing , 6G , and Smart Agriculture . Education: Doctoral Thesis (2021): "Intelligence Partitioning for IoT : Design Space Exploration for a Data Intensive IoT Node" (Mid Sweden University) Licentiate Thesis (2019): "Intelligence Partitioning for IoT : Communication and Processing Inter-Effects for Smart Camera Implementation" (Mid Sweden University) Her research focuses on optimizing IoT node architectures, balancing Communication vs. Computation trade-offs, and deploying Deep Learning in resource-constrained environments. Recent work includes Time-dependent Clustering for neural network quantization, ArUco Marker Calibration , and Generative AI in Education ethics. The 15 most recent publications (2025-2024) highlight trends in Distributed CNN Optimization , Model Evaluation for industrial IoT, and cross-disciplinary applications in Environmental Monitoring and Academic Integrity . No scientific awards are explicitly mentioned in the provided text.

• Intelligence Partitioning
• IoT
• Deep Learning
• +۵ مورد دیگر

Anders Lind is an Associate Professor at the Department of Creative Studies (Teacher Education) at Umeå University, Sweden. Specializing in music technology and digital performance, his work explores the intersection of interactive sound art, animated notation systems, and mobile phone orchestras. He actively investigates how digital materiality can transform musical performance ecologies through participatory installations and networked performances. Current research projects include UmArts Art & AI (2023-2028), Super Computer – Interactive Sound Art (2023), and Home Participatory Orchestra (2021). His technical innovations focus on novel performance platforms like the Max Maestro notation system and Voltage Controlled Ensemble systems. Research addresses both educational applications and artistic boundaries, particularly in telematic performance and audience interaction contexts.

• Music Technology
• Interactive Sound Art
• Telematic Performance
• +۳ مورد دیگر

Johan Borg is an Associate Professor in Medical Sciences at Dalarna University , Sweden. His work bridges academic research with practical applications in assistive technology, focusing on welfare technology, e-health, and accessibility solutions. Doctor of Philosophy in Medical Science Master of Science in Mechanical Engineering Specialized in Rehabilitation Technology Research Interests: Development and implementation of assistive technologies for diverse populations Standardization and regulatory frameworks for medical devices Global workforce modeling for assistive technology provision Sustainability integration in educational environments Article Trends (2023-2025): Focus on dementia care technologies and time management solutions Global health equity in assistive product access Digital twin applications for homecare systems Educational sustainability frameworks in preschools IoT integration challenges in distributed healthcare

• Assistive Technology
• Welfare Technology
• E-Health
• +۴ مورد دیگر

Anna-Maria Stålnacke is a university lecturer in digital design at the Faculty of Economics, Kristianstad University, affiliated with the Design Department. Her research focuses broadly on digital design principles and applications. Specializes in human-computer interaction and user experience design Active in visual communication and interactive media development

• Digital Design
• Graphic Design
• Human-Computer Interaction
• +۳ مورد دیگر

Montathar Pharaoh is an Assistant Professor of Informatics at the Faculty of Economics and serves as a Meritorious Teacher in the Department of Design. He holds a teaching degree in computer science, psychology, and pedagogy, a master's in psychology from the University of Wisconsin-La Crosse and University of North Carolina-Greensboro, and a PhD from Stockholm University where he researched democratic engagement through co-creative media. His research bridges artificial intelligence, design research, and educational technology, with focus areas including: AI applications in learning and design education Human-computer interaction and co-creative media Democratic participation through digital tools Web/mobile application development His recent publications demonstrate strong emphasis on AI in educational contexts, exploring student cognition, teacher training, and cross-cultural technology adoption patterns. He received the 'Meritorious Teacher' award for pedagogical excellence. Currently leads multiple research projects including: INAI: Interaction Design and Artificial Intelligence (2024-present) UTAI: Education and Artificial Intelligence (2024-present) AI-Driven Practices in Higher Education (2023-2024) He regularly organizes academic workshops and serves as peer reviewer for journals including the International Journal of Ambient Computing and Intelligence.

• Artificial Intelligence
• Design Research
• Human-Computer Interaction
• +۵ مورد دیگر

Hani Alsafadi is a Postdoc and Researcher at Lund University's Faculty of Medicine, specializing in lung biology and regeneration research. They are affiliated with multiple research initiatives including Lung Bioengineering and Regeneration, StemTherapy (National Initiative on Stem Cells for Regenerative Therapy), and NanoLund (Centre for Nanoscience), and serve as a profile area member for Nanoscience and Semiconductor Technology as well as Light and Materials at Lund University. Their research focuses on critical areas of pulmonary medicine: Hippo Signaling pathways in lung tissue Idiopathic Pulmonary Fibrosis mechanisms and treatments Ex vivo models and precision-cut tissue slices Lung epithelial cell biology Extracellular matrix in pulmonary diseases Alsafadi completed their doctoral thesis in 2023 titled 'Role of the co-transcriptional regulators Yap/Taz in the normal and fibrotic lung epithelia' under Lund University's Faculty of Medicine. Their work contributes to UN Sustainable Development Goals related to health and well-being, particularly in advancing treatments for respiratory diseases. Analysis of their recent publications reveals a strong focus on developing innovative models for studying pulmonary fibrosis, with particular emphasis on YAP/TAZ signaling pathways, stem cell-derived organoids, and ex vivo tissue engineering approaches. Their research bridges basic science with potential clinical applications, especially in identifying novel antifibrotic therapeutics. Alsafadi is actively involved in two major research projects: Biomaterials@LU (ongoing since September 2023) as a Researcher Context dependence of the hippo signaling pathway in pulmonary fibrosis (2018-2022) as a Researcher under David Wagner's supervision Their scholarly work demonstrates significant impact, with multiple publications receiving citations, media mentions, and substantial engagement on academic platforms like Mendeley.

• Lung biology
• Lung Regeneration
• Hippo Signaling
• +۵ مورد دیگر

Jiaming Wu serves as Assistant Professor at Chalmers University of Technology within the Department of Architecture and Civil Engineering. His work focuses on modeling and optimization of intelligent transport systems , with specialized attention to electromobility , connected and automated vehicles , and intersection control . Key research trends from his publications include: Advancements in electric vehicle charging optimization using decomposition techniques Development of deep learning architectures for autonomous vehicle trajectory prediction Exploration of multi-objective routing algorithms for mixed traffic environments Innovations in edge computing for transportation network problems Analysis of energy efficiency in shared micromobility systems He actively contributes to: Academic leadership as Associate Editor for IEEE Transactions on Intelligent Transportation Systems Editorial work for Multimodal Transportation Conference committee memberships in transportation technology domains

• Intelligent Transport Systems
• Electromobility
• Connected and Automated Vehicles
• +۴ مورد دیگر

Pär Nyström is an Associate Professor in the Department of Psychology at Uppsala University, specializing in developmental psychology with a focus on younger children. He is affiliated with Uppsala Barn- och Babylab and collaborates with Karolinska Institutet (KI) on Projekt Småsyskon, a longitudinal study aimed at identifying early markers for autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). His work bridges psychological theory with advanced technological approaches, including eye-tracking and pupillometry. Nyström's research interests center on early developmental processes, particularly in social cognition and attention. His work examines gaze following, social attention, and physiological responses in infants, with special focus on identifying early biomarkers for neurodevelopmental disorders. He investigates how cultural factors, family adversities, and genetic predispositions influence developmental trajectories. His research spans cross-cultural contexts, including studies in Sweden and Bhutan, demonstrating his commitment to understanding universal and culture-specific aspects of development. Analysis of Nyström's recent publications (2022-2025) reveals a strong focus on methodological innovation in developmental research. His work integrates computer vision, EEG hyperscanning, and pupillometry to create more robust assessment tools for infant cognition. A significant portion of his research explores early markers for autism, examining gaze behavior, pupillary responses, and motion processing as potential diagnostic indicators. His studies frequently employ longitudinal designs and incorporate behavioral genetics through twin studies. Nyström has also contributed to methodological advancements in social science research, developing analysis tools like TimeStudio to enhance research transparency and replicability. His work bridges technical innovation with developmental psychology, creating new pathways for early identification of developmental disorders. In addition to his research, Nyström has served as director of studies and contributed to organizational development within the university. His collaborative approach is evident through extensive co-authorship across multiple institutions, particularly with researchers at Karolinska Institutet and international partners. He actively participates in large-scale collaborative projects examining developmental markers across diverse cultural contexts.

• Developmental Psychology
• Child Psychology
• Autism Spectrum Disorder (ASD) Research
• +۵ مورد دیگر

Kim Astor is a Postdoctoral Researcher at Uppsala University's Department of Psychology, specializing in Developmental Psychology. Based at Von Kraemers allé 1A och 1C in Uppsala, Astor conducts empirical research at the intersection of child development and artificial intelligence. Research interests span two primary domains: Children's Interaction with AI : Investigating trust in AI systems, learning impacts, and developmental implications of screen-based AI/social robots Social Development in Infants : Examining gaze following mechanisms, nonverbal communication, cultural variations, and influences of parental mental health Methodologically focused on eye-tracking and cross-cultural studies, including fieldwork in Bhutan. Recent publications (2018-2025) reveal strong trends in: AI-manipulated video techniques for infant gaze analysis Cross-cultural resilience studies amid war/climate change Maternal depression impacts on joint attention Theoretical frameworks for gaze following development Work appears in top journals including Psychological Science , Developmental Psychology , and Child Development . Altmetric attention shows significant engagement: 8 news outlet pickups for 2022 Bhutan study 92 Mendeley readers for 2020 Royal Society paper 31 X/Twitter mentions across multiple publications Astor's collaborative network includes Gustaf Gredebäck (Uppsala), Herbert Ainamani (Uganda), Linda van den Berg (Netherlands), and Joshua Juvrud (Bhutan studies). Current projects focus on establishing empirical guidelines for children's AI interactions before societal entrenchment of these technologies.

• Artificial Intelligence
• Child Development
• Social Development
• +۷ مورد دیگر

Rikard Söderberg is a Professor of Product and Production Development at Chalmers University of Technology , where he earned his PhD in 1995. As director of the Wingquist Laboratory , he leads research initiatives in Geometry Assurance & Robust Design . His work bridges academia and industry through collaborations with automotive and aerospace sectors, focusing on minimizing geometric variations in manufacturing. Research Focus: Robust design, variation simulation, assembly optimization Key Collaborations: Automotive (Volvo, CEVT) and aerospace industries Scientific Leadership: Director of Wingquist Laboratory (since reorganization) Research Trends in his recent publications reveal interdisciplinary efforts combining digital twin technology , physics-based modeling , and evolutionary optimization . Articles address challenges in additive manufacturing , welding precision , and perceived product quality through computational frameworks. Scientific Recognition: Fellow, American Society of Mechanical Engineers (ASME) Fellow, International Academy for Production Engineering (CIRP) Member, Royal Swedish Academy of Engineering Sciences (IVA)

• Geometric Variation
• Robust Design
• Statistical Variation Simulation
• +۷ مورد دیگر

Karinne Ramirez-Amaro is an Associate Professor at Chalmers University of Technology, affiliated with the Mechatronics research group and the Department of Electrical Engineering (E2). Her career includes post-doctoral research at the Technical University of Munich (TUM) and a Ph.D. (summa cum laude) at TUM. Ph.D., Electrical and Computer Engineering, TUM (2015) Master, Computer Science (with honours), CIC-IPN, Mexico City (2007) Her research focuses on Artificial Intelligence , particularly Semantic Representations , Assistive Robotics , and Human Activity Recognition . She develops methods for robot task learning , causal modeling , and human-robot collaboration . Key article trends include planning operators , causal Bayesian networks , and multi-skill chaining , reflecting her work on bridging symbolic AI with reinforcement learning. Awards include the Laura Bassi and DAAD-CONACYT scholarships. Laura Bassi Award (2015) Excellence Doctoral Degree for Female Engineers (2015) DAAD-CONACYT Scholarship Google Anita Borg Scholarship (2011) She leads projects like Learning & Understanding Human-Centered Robotic Manipulation and contributes to EU FP7 and DFG-SFB initiatives. Her full description provides exhaustive details.

• Artificial Intelligence
• Semantic Representations
• Assistive Robotics
• +۲ مورد دیگر

Knut Åkesson is a Professor in Automation at the Department of Electrical Engineering, Chalmers University of Technology. His research focuses on rigorous methods for verification and control in safety-critical autonomous systems, optimization of high-variability production systems, and applications of computer vision and deep learning in industrial automation. He serves as lecturer/examiner for courses in automatic control and model-based development of cyber-physical systems. He is the master program director for Systems, Control, and Mechatronics. Research Interests: Knut's work spans formal verification of cyber-physical systems, collision-free trajectory planning for robots, and fault localization in automation systems. His methods integrate Bayesian optimization, deep reinforcement learning, and model predictive control for dynamic obstacle avoidance. Recent Publications (2025-2022): His 15 most recent articles address challenges in multimodal motion prediction, conflict-free electric vehicle routing, structural coverability for automation systems, and falsification techniques using SMT solvers. These papers appear in venues such as IEEE Robotics and Automation Letters , IEEE Transactions on Embedded Computing Systems , and IEEE International Conference on Automation Science and Engineering . Projects: Knut leads initiatives like The Smart and Connected Worker (ArtWork) (VINNOVA, 2024–2026) and contributes to AIHURO-Intelligent Människa-Robot-Samarbete (VINNOVA, 2023–2026). His work often involves collaboration with industry partners such as Volvo Group.

• Verification and Control of Safety-Critical Systems
• Industrial Automation
• Cyber-Physical Systems
• +۵ مورد دیگر

Dr. Åsa Fasth Berglund is an active researcher at Chalmers University of Technology within the Production Systems department. Her work focuses on industrial digitalization, human-automation collaboration, and Industry 4.0 implementation strategies. She leads multiple research initiatives funded by VINNOVA and the European Commission, with 30+ documented projects since 2006. Her core research explores: Cognitive automation frameworks for manufacturing operators Human-robot co-production systems Extended reality (XR) applications in industrial settings Digital work instruction methodologies Sustainable and flexible production system design Publication analysis reveals consistent focus on Industry 4.0 technologies since 2016, with recent emphasis on operational flexibility, human-robot collaboration, and digital twins. Her work frequently combines empirical case studies with technical implementation frameworks. Dr. Berglund has secured significant research funding including: DIH World (EU Commission, 2020-2023) FAKTA Automation (VINNOVA, 2019-2022) Stena Industry Innovation Lab (Stena Foundation, 2018-2020) 5G-Enabled Manufacturing (VINNOVA, 2018-2020) She co-leads the Production Systems research group and established the Stena Industry Innovation Lab at Chalmers, focusing on applied industry solutions. Current projects investigate digital twins for sustainable manufacturing and AI-driven cognitive automation.

• Industrial Automation
• Human-Robot Collaboration
• Industry 4.0
• +۴ مورد دیگر

Kajsa Gullberg is a doctoral student in General Linguistics at Lund University's Centre for Languages and Literature since spring 2021. She is actively engaged in research examining linguistic processes during truthful versus deceitful storytelling across speech and writing modalities, with a specific focus on cognitive load manifestations. Her work is conducted within the Centre's Department of General Linguistics where she also serves as a board member. Her primary research explores how language production adapts to different modalities and external factors, particularly investigating deception through psycholinguistic frameworks. Key focus areas include keystroke logging methodologies, cognitive load measurement during narrative construction, and comparative analysis of speech versus writing processes. Recent work centers on identifying linguistic markers that differentiate between self-experienced and invented narratives. Her publication trends (2021-2024) reveal concentrated research on deception metrics across communication modalities, with increasing methodological sophistication in cognitive load measurement. The work spans theoretical psycholinguistics, forensic applications, and digital communication analysis, consistently employing empirical approaches to language production phenomena. Administratively, she contributes to the Centre for Languages and Literature as a board member. Her research is supported by the active dissertation project 'Spoken and written processes in invented and experienced narratives' (2021-2025) and the completed BOATS project (2020-2024) which developed frameworks for differentiating true and invented narratives through linguistic analysis. She maintains active research engagement through 20 documented activities including conference presentations, public lectures on deception research, and editorial contributions. Her work connects with international collaborators across psychology and linguistics domains as evidenced by her research network map.

• Psycholinguistics
• Language Production
• Deception Research
• +۴ مورد دیگر