جستجوی استاد راهنمای دانشگاهی

Lucas Gottzénمشاهده پروفایل

استاد

• Gender Studies
• Masculinity
• Youth Studies
• +۴ مورد دیگر

Lucas Gottzén is a Professor at the Department of Child and Youth Studies, Stockholm University. His research focuses on masculinity, youth studies, affect theory, and extremism, with a particular interest in how these intersect with violence and gender dynamics. He has contributed to understanding radicalization pathways in online spaces, the role of masculinity in intimate partner violence, and the cultural politics of fatherhood in Swedish society. Research interests include ecofascist visual communication, vulnerability and identity politics in digital subcultures, and the sociological analysis of pornography debates. His work often bridges theory and practice, addressing issues of gender equality and violence prevention through innovative methodological approaches. Key publications examine themes such as the 'red pill' phenomenon, affective dimensions of masculinity, and the paradoxes of Sweden's gender-equality reputation alongside high rates of sexual violence. He has collaborated on evaluations of violence prevention programs and authored critical analyses of media representations of fatherhood and youth.

Linda Ryan Bengtssonمشاهده پروفایل

دانشیار

• Digital Culture
• Media Studies
• Cultural Industries
• +۵ مورد دیگر

Linda Ryan Bengtsson is an Associate Professor in the Department of Geography, Media and Communication at Karlstad University. She holds roles as a research advisor and collaborates with public/private entities, including Hagfors municipality, Visit Värmland, and Uddeholm. Her work focuses on geomedia studies, exploring the interplay between place, media practices, and digital culture within cultural industries and tourism. Education: She completed her doctoral dissertation on public art installations and interactive experience in 2012. Teaching includes undergraduate and advanced courses in visual culture, digital design, and design methodology. Research Interests: Her interdisciplinary research combines human geography, tourism studies, and business administration. Key projects include the 'Bruksort 2.0' ecosystem initiative (2024-2025) and the 'Music Ecosystems' EU project (2018-2021). She co-edits the book Geomedia Studies: Spaces and Mobilities in Mediatized Worlds (2017/2018). Collaborations: She serves on boards for the Baltic Sea Foundation and Visit Värmland, emphasizing strategic research environments and funding. Recent articles (2024) address geomedia futures in tourism, pandemic impacts on music industries, and virtual reality immersion. Awards: No specific prizes mentioned, though her work receives grants from Vinnova, EU, and regional agencies. Her research environment development focuses on co-creation with industry partners. Advising/Grants: As a research advisor, she strengthens funding opportunities and national/international collaborations. Projects like 'Experience Industry: Geomedia Technologies for Live Performance' highlight her focus on applied research. Labs/Teams: Central to the Geomedia Studies Research Group, she leads projects like 'Digital Place-Based Experiences' and 'Crisis Communication' initiatives in rural tourism sectors.

• Total Productive Maintenance
• Artificial Intelligence
• Multi-Criteria Decision Making
• +۳ مورد دیگر

Ebru Turanoglu Bekar is a Senior Lecturer at the Department of Industrial and Materials Science, Chalmers University of Technology, specializing in Smart Maintenance and Production Systems. She contributes to the Production Service Systems & Maintenance research group. Research Interests: Total Productive Maintenance (TPM), Artificial Intelligence applications in manufacturing, Multi-Criteria Decision Making, Performance Measurement systems Recent Focus: Development of data-driven algorithms for predictive maintenance, integration of digital twins in industrial contexts Key Projects: Factory SensAI (2025–2028) - Data integration for AI in manufacturing Trustworthy Predictive Maintenance TPdM (2022–2025)

• Memory
• Cognitive Control
• Neuroscience
• +۵ مورد دیگر

Mikael Johansson is a Professor in the Department of Psychology at Lund University, where he leads research on the cognitive and neural bases of memory and cognitive control. His academic appointments include membership in eSSENCE: The e-Science Collaboration, LAMiNATE (Language Acquisition, Multilingualism, and Teaching), LU Profile Area: Proactive Ageing, and LU Profile Area: Natural and Artificial Cognition. With 159 research outputs and leadership in 18 projects (8 active), he maintains a prominent position in cognitive neuroscience research. His research focuses on the neural mechanisms of memory using behavioral, electrophysiological (EEG/ERP), and functional magnetic resonance imaging (fMRI) methods. Key interests include interactions between memory systems, formation and retrieval of episodic memories, emotion regulation and emotional memory, mechanisms underlying incidental and intentional forgetting, and the relationship between eye-movements, mental imagery and memory. His work has significant implications for understanding memory functions in psychiatric conditions such as depression and post-traumatic stress disorder. Analyzing his extensive publication record spanning from 2012-2025 reveals a consistent focus on memory mechanisms with increasing integration of eye-tracking methodologies and clinical applications. His research demonstrates an evolving trajectory from basic memory processes toward understanding memory in real-world contexts and clinical populations, with recent work emphasizing the role of eye movements in memory construction and the neural dynamics of memory integration. Mikael Johansson serves as a member of The Swedish National Committee for Psychological Sciences at the Royal Swedish Academy of Sciences since 2011 and has received significant research funding including from The Bank of Sweden Tercentenary Foundation, Swedish Research Council, and Stiftelsen Marcus och Amalia Wallenbergs Minnesfond. His current major projects include TEAM: Transdisciplinary Approaches to Learning, Acquisition, Multilingualism (2024-2029), Tracking cognitive change as a function of normal ageing and different types of degenerative disease, and How the brain constructs the present and reconstructs the past via sequences of eye movements. He leads the Lund Memory Lab where his team investigates how the brain constructs and maintains coherent episodic memories through eye movements. His research group actively collaborates with international partners across multiple disciplines, bridging cognitive psychology, neuroscience, and clinical applications. The lab's work has gained significant attention, with several publications being highlighted in news outlets and academic discussions.

Vivi Vajdaمشاهده پروفایل

استاد

• Heritage Science
• Paleobiology
• Advanced Imaging
• +۳ مورد دیگر

Vivi Vajda is a Professor and Head of the Department of Paleobiology at the Swedish Museum of Natural History . She is also affiliated as a LINXS Fellow within the Heritage Science theme, contributing to Working Groups 5 (Visualization) and 6 (Communication). Her research focuses on paleobiology, heritage preservation, and climate-environmental interactions, leveraging advanced imaging and data analysis techniques. Leadership role: Head of Department of Paleobiology Research themes: Heritage Science, Environment and Climate Expertise in paleobiology, visualization, and interdisciplinary collaborations As a LINXS Fellow, she participates in initiatives bridging neutron and x-ray science with cultural heritage studies.

Mikael Wibergمشاهده پروفایل

استاد

• Human–Computer Interaction
• Interaction Design
• Materiality of Interaction
• +۵ مورد دیگر

Mikael Wiberg is full Professor of Informatics at Umeå University, Sweden, where he leads research groups in Design Informatics and Digital Interaction & Design. He is co Editor-in-Chief of ACM Interactions and has held chaired and guest professorships at Uppsala, Södertörn and Chalmers universities. His work sits at the intersection of human-computer interaction, materiality, architecture and emerging technologies. Education: PhD in Informatics, Umeå University, 2001 Docent (Associate Professor) in Informatics, Umeå University, 2004 Research interests revolve around interactivity, mobility, materiality and architecture . Wiberg coined the notion of “materiality of interaction” to study how digital resources merge with physical materials, spaces and artefacts. Recent strands include more-than-human design, human-building interaction, autonomous systems UX, and social justice in HCI, all interrogating how interactive technologies shape—and are shaped by—human and non-human actors. Across more than two decades he has published in top venues such as ACM TOCHI, Design Issues, Int. Journal of Design, Human-Computer Interaction journal and the magazine ACM Interactions . His 2018 MIT Press monograph The Materiality of Interaction consolidates his theoretical stance and has become a touchstone for architectural and material HCI discourse. Editorial & scientific awards: Co Editor-in-Chief, ACM Interactions (2019-) Member, Royal Skyttean Society (Kungliga Skytteanska Samfundet) Board member, Professors’ Association, Umeå University He currently leads interdisciplinary projects on digital heritage archives, autonomous vehicle experiences for children with intellectual disabilities, and sustainable interaction infrastructures. Although the provided text does not enumerate specific grants or doctoral students, his continuous project leadership and editorial roles evidence sustained funding and supervisory activity. Wiberg directs the Design Informatics research environment and is a core member of Umeå’s Internet of Things group, fostering collaboration between informatics, architecture, design and social sciences. His overarching agenda asks how interactive technologies can support just, sustainable and aesthetically rich futures at architectural and urban scale.

Saleh Javadiمشاهده پروفایل

مدرس ارشد

• Systems engineering
• Signal processing
• Machine learning
• +۱ مورد دیگر

Saleh Javadi is a Senior Lecturer at the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH) in Karlskrona, Sweden. He is actively engaged in research and teaching within the field of systems engineering. His educational background includes: B.Sc. in Electrical-Control Engineering from Amirkabir University of Technology (2009) M.Sc. in Electrical, Electronic and Systems Engineering from The National University of Malaysia (2013) Ph.D. in Systems Engineering from Blekinge Institute of Technology (BTH) (2021) Saleh Javadi's research focuses on signal processing, machine learning, and computer vision , with applications spanning remote sensing, intelligent transportation systems, and AI-driven industrial optimization. His work bridges theoretical advancements with practical implementations, particularly in SAR imagery analysis, drone-based agricultural monitoring, and traffic surveillance systems. His recent publications demonstrate a strong focus on remote sensing technologies, particularly Synthetic Aperture Radar (SAR) image processing and analysis. There's a clear trend toward applying machine learning techniques to solve complex problems in aerial and satellite imagery, traffic monitoring, and agricultural applications. His research shows interdisciplinary connections between computer vision, signal processing, and practical engineering applications. Saleh Javadi has received significant recognition for his innovative work: Innovator of the Year award (SKAPA – Innovation Prize in Memory of Alfred Nobel) in Blekinge for innovative efforts in optimizing and reducing energy consumption in industries by using artificial intelligence ÅForsk Entrepreneur's prize at the Swedish Innovation Council Day – Swedish Incubators & Science Park's annual conference in May 2019 Dr. Javadi is involved in practical applications of his research through projects such as "Artificiell intelligens AI kan reducera ogräsfrön i utsäde" (ongoing) and "Bekämpa Renkavle med hjälp av drönare och Artificiell Intelligens (AI)" (completed). His work demonstrates a strong commitment to translating academic research into real-world solutions that address industrial and environmental challenges. His research appears to be conducted within a collaborative framework, working with colleagues on drone technology, SAR image analysis, and AI applications across multiple domains including agriculture, maritime monitoring, and transportation systems.

Gustav Henterمشاهده پروفایل

استادیار

• Deep Generative Models
• Speech Synthesis
• 3D Character Animation
• +۳ مورد دیگر

Gustav Henter is an Assistant Professor in Intelligent Systems at KTH Royal Institute of Technology, specializing in Machine Learning. He is affiliated with the Division of Speech, Music and Hearing (TMH) within the School of Electrical Engineering and Computer Science. His research focuses on deep generative models for applications like speech synthesis, 3D character animation, and human-computer interaction. He holds a Docent degree from KTH and has held post-doctoral positions at the University of Edinburgh and the National Institute of Informatics in Tokyo. Education: PhD in Electrical Engineering (KTH, 2013), MSc in Engineering Physics (KTH, 2007). He supervises doctoral students in areas like gesture synthesis and multimodal interaction. His work is supported by grants from the Wallenberg AI, Autonomous Systems, and Software Program (WASP) and South Korea's MOTIE. He co-founded Motorica AB to commercialize motion synthesis research. Awards include Best Paper Awards at ICMI 2020 and IVA 2020, and recognition for student theses. His research spans generative AI, perceptual evaluation, and robust statistical models. He organizes the GENEA Challenge and Workshop series for gesture generation benchmarking.

Franziska Klüglمشاهده پروفایل

استاد

• Multi-Agent Systems
• Agent-Based Simulation
• Artificial Intelligence
• +۴ مورد دیگر

Franziska Klügl is a Professor in Computer Science at Örebro University's Faculty of Business, Science and Engineering, affiliated with the Center for Applied Autonomous Sensor Systems (AASS). She currently leads the KKS-funded TeamRob project on Human-Robot Teamwork and serves as Deputy Dean of the faculty since January 2023, chairing the academic appointment committee. Previously, she headed the Computer Science department (2020-2022) and served on the faculty board (2019-2022). Her research focuses on: Multi-agent systems : Development of languages, processes, and tools for agent-based simulation Interdisciplinary applications : Transportation, economics, epidemics, production, and mining simulations Simulation engineering : Integrating AI, machine learning, and formal methods to create accessible modeling tools for domain experts She created SeSAm , a visual programming tool for agent-based simulation that enables rapid prototyping of complex models. Analysis of her recent publications reveals three dominant themes: Human-robot collaboration frameworks and intention recognition systems Economic impacts of automation on labor markets and engineering services Advanced simulation methodologies using affordance theory and reinforcement learning She teaches software engineering, multi-agent systems, and agent-based modeling across multiple programs, including the WASP AI&ML PhD course. She leads research groups at the Machine Perception and Interaction Lab and oversees the TeamRob human-robot teamwork project.

Bor Gregorcicمشاهده پروفایل

دانشیار

• Physics Education Research
• Science Education
• Educational Technology
• +۵ مورد دیگر

Bor Gregorcic serves as an Associate Professor (Docent) and University Lecturer in Physics Education at Uppsala University's Department of Physics and Astronomy. His academic work bridges theoretical frameworks in science education with practical applications of educational technology. Gregorcic's research program spans several interconnected domains: Physics education research focusing on conceptual understanding in mechanics and statistical mechanics Embodiment and multimodal approaches to science learning Educational technology applications including interactive whiteboards and digital learning environments Emerging applications of artificial intelligence in physics education contexts Teacher professional development and pedagogical content knowledge His recent publication trajectory (2023-2025) reveals a significant pivot toward AI applications in physics education, with multiple studies examining ChatGPT's performance in interpreting physics concepts, visual representations, and kinematics graphs. This represents an evolution from his earlier foundational work on embodiment in science education and multimodal learning, where he explored conceptual blending, gesture studies, and the use of digital tools like Algodoo. His research consistently addresses how students develop conceptual understanding through various representational forms. Gregorcic has been recognized with the 'Excellent Teacher' award at Uppsala University, highlighting his commitment to pedagogical excellence. He maintains active research collaborations with Giulia Polverini, Elias Euler, Trevor Volkwyn, Ebba Koerfer, and other international scholars. His work appears predominantly in leading physics education research journals including Physical Review Physics Education Research, European Journal of Physics, and Physics Education, demonstrating significant impact in the field.

Jonas Beskowمشاهده پروفایل

استاد

• Multimodal Interaction
• Speech Synthesis
• Robotics
• +۳ مورد دیگر

Jonas Beskow is a Professor and Head of Division at the Division of Speech, Music and Hearing at KTH Royal Institute of Technology. His research focuses on multimodal interaction, speech synthesis, robotics, and human-robot interaction. He leads the Learning style variation in nonverbal behaviour for social robots and agents project as part of Digital Futures, a cross-disciplinary research center. His work involves developing social robots like the Furhat head and advancing technologies for gesture synthesis, audio-driven motion, and adaptive intelligent systems. He holds roles as Co-PI for the Advanced Adaptive Intelligent Systems (AAIS) and Adaptive Intelligent Homes (AIH) projects. His research spans robotics, computer graphics, and clinical applications such as dementia detection through multimodal patient behavior analysis. Beskow also contributes to educational initiatives, supervising courses in computer science and engineering, including degree projects in machine learning and systems engineering. Publications highlight innovations in gesture generation, speech-driven animation, and socially-aware robotics. Collaborations with institutions like Stockholm University and RISE Research Institutes drive interdisciplinary solutions. His work bridges artificial intelligence, human-computer interaction, and assistive technologies, emphasizing ethical and societal impacts of emerging digital systems.

Daniel Edlerمشاهده پروفایل

پژوهشگر

• Network Science
• Biodiversity
• Ecological Modeling
• +۳ مورد دیگر

Daniel Edler is a Researcher and Postdoctoral Fellow at the Department of Physics, Umeå University. His work focuses on network science, biodiversity analysis, and ecological modeling, with a particular emphasis on developing computational tools for community detection and biogeographical mapping. He contributes to interdisciplinary research, integrating methods from computer science, ecology, and information theory. Edler leads the development of Infomap Bioregions, a tool for mapping biogeographical regions using species distribution data, and CoordinateCleaner, which standardizes biological occurrence records. His research also explores threats to Madagascar’s biodiversity and the interplay between socio-political factors and biodiversity data availability through tools like Bio-Dem. He has co-developed raxmlGUI 2.0, a phylogenetic analysis interface, and contributes to the Infomap software package for network analysis. Edler’s publications highlight themes in higher-order network flows, multilayer community detection, and ecological network modules. His work appears in journals such as Science , American Journal of Botany , and Methods in Ecology and Evolution . He is an active member of the Complex Systems research group at Umeå University.

Marie Carlénمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Prefrontal Cortex
• +۱۶ مورد دیگر

Marie Carlén is a Professor of Neuronal Networks at the Department of Neuroscience, Karolinska Institutet, where she leads the Neural Circuits of Cognition research group. Her work focuses on the prefrontal cortex (PFC), a brain region central to cognitive functions such as attention, decision-making, working memory, and goal-directed behavior. She employs cutting-edge techniques including optogenetics, large-scale electrophysiology, calcium imaging, and circuit tracing in rodent models to unravel the cellular and circuit mechanisms underlying cognition and their disruption in psychiatric disorders. Her academic journey began with a Ph.D. in medicine from Karolinska Institutet in 2005, followed by postdoctoral training at MIT’s Picower Institute under Professor Li-Huei Tsai. She returned to Karolinska Institutet in 2010 and was promoted to full Professor in 2022. She is also a Docent (2017) and has held prestigious fellowships including ERC Starting Grant and Wallenberg Scholar (2019, 2024). Marie Carlén's research spans systems and cellular neuroscience, with a strong emphasis on inhibitory interneurons (especially parvalbumin-expressing cells), neural oscillations, and PFC-striatum interactions. Her recent publications reveal a consistent focus on decoding prefrontal circuit dynamics, the role of specific neuron types in cognition, and comparative brain architecture. She collaborates extensively with her partner, Konstantinos Meletis, also a KI researcher. She has been recognized with numerous scientific honors: Member, Nobel Assembly at Karolinska Institutet (2025–) Member, The Royal Swedish Academy of Sciences (2024–) Wallenberg Scholar (2024, 2019) ERC Starting Grant (2013) Wallenberg Academy Fellow (2012) NARSAD Young Investigator Awards (2010, 2008) She actively mentors students and researchers, with open applications welcomed to her lab. Her work is supported by major grants, including from the Knut and Alice Wallenberg Foundation, enabling high-risk, high-reward research in brain function and disease. Her lab investigates the functional definition of the prefrontal cortex across species, develops novel tools for neural recording, and explores circuit imbalances in conditions like autism and schizophrenia. She is a strong advocate for ethical animal research and promotes gender equality in science.

• Digital Archaeology
• 3D Visualization
• Spatial Technology
• +۷ مورد دیگر

Nicolò Dell'Unto serves as Professor of Archaeology at Lund University's Department of Archaeology and Ancient History within the Faculty of Humanities and Theology. His research pioneers digital methodologies for archaeological analysis, specializing in 3D visualization, spatial technology, and virtual reality applications that transform how we perceive and investigate the past. Based at Helgonavägen 3 in Lund (Room LUX:A122), he directs the Digital Archaeology Laboratory (DARKLab) and oversees undergraduate/postgraduate digital archaeology programs. His educational background includes: Archaeology studies at University of Rome, La Sapienza PhD in Technology and Management of Cultural Heritage from IMT Lucca, Italy Postdoctoral fellowship at University of California Merced Dell'Unto's research focuses on how laser scanners, photogrammetry, GIS, and virtual reality technologies fundamentally reshape archaeological practice. His work bridges technical innovation with theoretical frameworks in landscape archaeology, emphasizing practical field applications while addressing methodological challenges in data interpretation. Key themes include digital documentation standards, 3D data management, and the cognitive impact of visualization tools on archaeological reasoning. His publication trends reveal a shift toward AI integration in archaeological data interpretation, infrastructure development for 3D data sharing, and cross-disciplinary collaborations examining Mediterranean connectivity. Recent works emphasize practical frameworks for implementing digital tools in fieldwork while addressing sustainability challenges in digital heritage preservation. Award highlights: Einar Hansen Prize for Humanities (2017) Royal Physiographic Society of Lund election (2024) Best Paper Award (2014) Highly Cited Research recognition (2017) Dell'Unto supervises PhD and master's students while leading major projects including RE-OSTRAKON (3D artifact scanning), TETRARCHs (data reuse), and AIR (Archaeological Interactive Report). His DARKLab serves as Sweden's national infrastructure for digital archaeology, collaborating with institutions like University of Oslo's Museum of Cultural History where he holds a visiting professorship since 2019. He actively shapes digital archaeology policy as Domain Specialist for Swedish National Data Service, Board Member for Statens historiska museer, and Open Science Champion at Lund University, driving national standards for archaeological data management and open science practices.

Stefano Bonettiمشاهده پروفایل

دانشیار

• Ultrafast magnetism
• Spin dynamics in condensed matter
• Terahertz physics
• +۳ مورد دیگر

Stefano Bonetti is an Associate Professor in the Department of Physics at Stockholm University , leading the Ultrafast Condensed Matter Dynamics Group . His research focuses on manipulating quantum materials using terahertz (THz) and near-infrared laser fields to study spin dynamics and ultrafast phenomena at nanoscale and femtosecond timescales. PhD in Materials Physics (KTH Royal Institute of Technology, Sweden) MSc in Engineering Physics (KTH) BSc in Technical Physics (Politecnico di Milano, Italy) Recent research efforts involve time-resolved X-ray microscopy to visualize spin currents and magnetization dynamics, leveraging facilities like free-electron lasers. His work bridges experimental physics and applied materials science, aiming to enhance energy efficiency in data storage technologies by understanding ultrafast spin-lattice interactions . Key scientific awards and grants: ERC Starting Grant (2017-2021) Wallenberg Academy Fellow (2018-2023) VR's free grant (2019-2023) International Career Grant (COFUND) (2015-2019) He has contributed to developing THz-based techniques for magnetic control and authored foundational work on spin-wave solitons and nonlinear magnetoelastic coupling . His group collaborates internationally, utilizing advanced synchrotron and free-electron laser facilities.