جستجوی استاد راهنمای دانشگاهی

Kathrin Glüer-Pagin is a Professor of Theoretical Philosophy at Stockholm University's Department of Philosophy. Her academic work spans philosophy of mind, language, epistemology, and action theory, with a particular focus on meaning, content, normativity, and perception. She is recognized as a leading scholar of Donald Davidson's philosophical contributions. Glüer-Pagin's research interests center on the theory of meaning and content, including foundational and formal semantics, the normativity of meaning, content, belief, and reasons, as well as philosophy of perception and knowledge resistance. Her distinctive approach to perceptual experience, known as 'phenomenal intentionalism,' contends that experiences are a kind of belief with 'phenomenal' or 'looks-content' that ascribes properties to objects in a way that can account for both veridical and non-veridical experiences. She has made significant contributions to debates about meaning normativity, belief formation, and the relationship between language and thought. Her publication record reveals a consistent trajectory of influential work at the intersection of philosophy of language and philosophy of mind. The most recent fifteen publications demonstrate her sustained engagement with questions about perceptual experience, meaning determination, and normativity. Notably, she has developed a distinctive account of 'looks' as relational properties that has implications for understanding visual experience and perceptual justification. Her collaborative work with Peter Pagin on 'switcher semantics' for proper names has provided an alternative framework that accommodates Kripkean intuitions without requiring names to be rigid designators. Glüer-Pagin currently leads the cross-disciplinary research program 'Knowledge Resistance: Causes, Consequences and Cures,' which investigates the nature and causes of knowledge resistance—the tendency not to accept available knowledge. This ambitious program represents a concerted effort to provide a unified framework for investigating knowledge resistance beyond the current state of the art.

• Philosophy of Mind
• Philosophy of Language
• Epistemology
• +۷ مورد دیگر

Professor Ahmed Hemani is a faculty member at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology, affiliated with the Digital Futures Faculty. He holds the role of PI for the project 'New Chip Architectures for Industrial Vision' and leads research in reconfigurable computing, memristor-based systems, and hardware acceleration for AI and edge computing. His work bridges theoretical computer science with practical VLSI design and embedded systems development. He actively contributes to cross-disciplinary initiatives at Digital Futures, a joint center with Stockholm University and RISE Research Institutes of Sweden focused on digital innovation. His research emphasizes scalable FPGA/HPC architectures, low-power neuromorphic systems, and optimization techniques for custom silicon solutions. Current projects include a Lego-inspired edge AI framework and memristor-driven MIMO acceleration. Teaching responsibilities span advanced courses in SOC design, digital system verification, and embedded systems. He supervises advanced-level degree projects across computer engineering and ICT innovation specializations, emphasizing hands-on hardware-software co-design methodologies. Recent publications highlight innovations in memristor applications, FPGA-based acceleration, and reconfigurable architectures for neural networks and bioinformatics. His work addresses challenges in dark silicon utilization, energy-efficient computation, and high-performance embedded systems.

• Computer Engineering
• Embedded Systems
• Hardware Acceleration
• +۵ مورد دیگر

Andrey Anikin is an Associate Professor and Researcher in Cognitive Science at the Department of Philosophy, Lund University. His work focuses on vocal communication and emotions, exploring how the voice conveys information beyond linguistic codes through nonverbal vocalizations and acoustic phenomena. Research Interests Dr. Anikin investigates how vocal qualities like roughness, laughter, and screams convey emotional and social information. His research takes a cognitive and biological approach, examining sensory biases and auditory attention in vocal communication. His work aims to illuminate the evolutionary origins and universal features of vocal communication across human cultures and animal species. Key areas include emotion perception, nonverbal vocalizations, acoustic analysis, and vocal communication systems. Research Output Trends Dr. Anikin's recent publications (2025) demonstrate a strong focus on acoustic properties of vocalizations across species. His work bridges biology, psychology, and acoustics with methodological innovations in analyzing nonlinear phenomena, voice roughness, and formant structures. His research shows increasing interdisciplinary collaboration, particularly with zoologists and signal processing experts, while maintaining a core focus on the cognitive mechanisms underlying vocal communication. Research Projects What makes baby cries impossible to ignore? (2024-2026): Funded by the Swedish Research Council, this active project investigates the sensory mechanisms behind infant cry perception. Sensory biases in nonverbal communication (2021-2023): A completed project funded by the Swedish Research Council that examined how sensory systems shape nonverbal communication. Research Environment Dr. Anikin is affiliated with the Cognitive Zoology Group and the Lund University Cognitive Science (LUCS) program. He contributes to the LU Profile Area: Natural and Artificial Cognition. His work connects with the UN Sustainable Development Goals through interdisciplinary research on communication and cognition, with implications for understanding human well-being and social interaction.

• Vocal Communication
• Emotion
• Nonverbal Vocalizations
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Christer Malm is a Professor at Umeå University's Department of Community Medicine and Rehabilitation, Section of Sports Medicine. His research spans molecular muscle adaptation, anti-doping technologies, and physical performance optimization for firefighters and athletes. Primary Affiliation: Umeå University, Sweden Key Focus Areas: Exercise physiology, proteomics, anti-doping, muscle disease mechanisms Research Interests: Muscle Adaptation: Revisiting the damage-repair hypothesis using proteomic screening to study cytoskeletal remodeling. Anti-Doping: Developing proteomic methods to detect autologous blood doping and investigate erythrocyte breakdown mechanisms. Work Capacity: Establishing physiological benchmarks for Swedish firefighters through extensive testing. Musculoskeletal Diseases: Comparative proteomic analysis of trapezius, vastus lateralis, and extraocular muscles to uncover disease resistance mechanisms. Exercise Impact: Exploring how physical activity modulates immunity in health and disease contexts. Scientific Contributions: Over 20 years of publications in Journal of Sports Sciences , PLOS ONE , and Scandinavian Journal of Medicine & Science in Sports , including studies on anabolic steroid effects and cold climate physiology. Ongoing Projects: PhD studies on blood doping detection, firefighter performance limits, and cross-country skiing physiology. Contact: christer.malm@umu.se

• Sports Medicine
• Exercise Physiology
• Proteomics
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Anders Pousette is a Lecturer at the University of Gothenburg, affiliated with the Department of Organization, Health and Addiction. His academic work focuses on organizational psychology, leadership training, information security, occupational safety, and psychosocial working conditions in high-risk industries such as healthcare and construction. His research explores the interplay between organizational support climates and workplace safety, with a particular emphasis on ethical value conflicts in healthcare, leadership practices in construction, and security culture in nuclear and transportation sectors. He employs mixed-methods approaches and longitudinal studies to evaluate interventions and workplace dynamics. Recent publications highlight his work on managerial training programs, cross-cultural comparisons of safety practices, and the impact of psychosocial factors on information security behavior. His collaborations span multiple disciplines and institutions, particularly with Marianne Törner and Martin Grill.

• Organizational Psychology
• Leadership Training
• Information Security
• +۴ مورد دیگر

Nils Hertting is a Professor at Uppsala University's Institute for Housing and Urban Research (IBF) and holds a concurrent position as Senior Lecturer/Associate Professor at the Department of Government. His research centers on local governance, urban politics, and public sector evaluation practices, with specific expertise in deliberative and participative network governance, civil society dynamics, ethnic associations, public space, and policy implementation challenges across Swedish and European contexts. His primary research domains include Local Governance Urban Politics Network Governance Public Sector Evaluation Civil Society Ethnic Associations Public Space Implementation He critically examines how participatory mechanisms function within representative democracy, the role of ethnic associations in urban political integration, and the rationality behind halting implementation in participatory planning processes. Analysis of his 2020-2025 publications reveals consistent thematic focus on participatory governance in urban settings, particularly neighborhood renewal programs and energy community development. His work demonstrates growing emphasis on equity dimensions, institutional dilemmas in collaborative governance, and the normalization of urban entrepreneurialism through subtle de-politicization tactics in city center developments. Hertting co-founded the Seminar for Qualitative Methods at Uppsala's Department of Government, significantly contributing to methodological development in qualitative political science research and advancing rationalistic generalization approaches from single-case studies.

• Local Governance
• Urban Politics
• Network Governance
• +۵ مورد دیگر

Anders Forsgren is a Professor of Optimization and Systems Theory at the Department of Mathematics, KTH Royal Institute of Technology since 2003. His research focuses on nonlinear programming, particularly Newton-type methods for smooth optimization, with applications in radiation therapy, cell biology, and telecommunications. PhD in Optimization and Systems Theory (KTH, 1990) MS in Operations Research (Stanford, 1987) MSc in Engineering Physics (KTH, 1985) Research Interests: Anders develops methods for constrained optimization and applies them to intensity-modulated radiation therapy, metabolic networks, and wireless communication systems. His work bridges algorithmic innovation with real-world clinical and engineering challenges. Recent Publications: Focus on robust optimization for radiation therapy under uncertainty, quasi-Newton methods, and applications in medical physics. His 2025 papers address interplay-robust optimization and scenario positioning in proton therapy. Scientific Leadership: Co-chair, 8th SIAM Conference on Optimization (2005) Editorial board member, Computational Optimization and Applications (since 1998) Member, Mathematical Optimization Society and SIAM Mentorship: Supervises PhD students in optimization and systems theory, with former advisees working on radiation therapy robustness, metabolic modeling, and network design.

• Nonlinear Programming
• Optimization Methods
• Radiation Therapy Optimization
• +۲ مورد دیگر

Dilian Gurov is a Professor in Computer Science at KTH Royal Institute of Technology, associated with the Digital Futures Faculty and the Division of Theoretical Computer Science. He also coordinates the Doctoral Programme in Computer Science at the CSC school. Before joining KTH in 2002, he earned a Ph.D. from the University of Victoria, Canada (1998), and worked at the Swedish Institute of Computer Science (1997-2002). His research focuses on software specification and verification, including contracts, program models, logics, and tools, as well as multi-agent strategic planning involving knowledge-based strategies in imperfect information settings. Key contributions include the CAV Distinguished Paper Award 2023 for 'Automatic Program Instrumentation for Automatic Verification' and an EASST award for 'Checking Absence of Illicit Applet Interactions: A Case Study' (2004). He leads projects funded by VR (SEFROS, ContraST) and Vinnova (AVerT2) and collaborates with industries like Scania on formal verification of C programs. His service roles span over 30 conference committees and organization roles, including PC memberships for iFM, TAP, and ISoLA. Teaching responsibilities include courses such as 'Formal Methods,' 'Program Semantics and Analysis,' and 'Knowledge in Games with Imperfect Information.' His work emphasizes practical applications of formal methods, bridging academic research with industry needs through collaborations and tool development (e.g., CVPP, ProMoVer, TriCo).

• Software Specification and Verification
• Multi-Agent Strategic Planning
• Formal Methods
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Lina von Sydow is a Professor in Computational Science at Uppsala University's Department of Information Technology. She serves as Section Dean for the Mathematical-Computer Science Section since July 2023. Her academic journey includes becoming an Associate Professor in 2000, Senior Lecturer since 1997, and leading the Department of Information Technology from 2018 to 2023. PhD in Domain Decomposition Methods (1995, Uppsala University) Postdoctoral Fellow at Oxford University (1996-1997) Her research spans computational science with dual focuses on Computational Finance and Ice Sheet Modeling . In finance, she develops numerical methods for option pricing using PDEs, radial basis functions, and stochastic volatility models. In climate science, she contributes to ice sheet dynamics through full Stokes models and adaptive time-stepping approaches, particularly in simulating grounding line migration. Recent publications (2025) address gender disparities in IT education, including comparative analysis of admission trends and intervention studies to boost female enrollment. Earlier works (2020-2015) focus on high-order finite difference methods for financial derivatives, BENCHOP benchmarking projects, and preconditioning techniques for PDEs. Scientific awards include Excellent Teacher (2013) She actively collaborates on educational reforms, co-authoring studies like Gender-aware course reform in Scientific Computing (2013). Her leadership roles include Head of Department (2018-2023) and Section Dean (2023-present), influencing academic governance and interdisciplinary research. Labs and teams: Works with Uppsala University's Computational Science group, Elmer/ICE project collaborators (e.g., Per Lötstedt, Gong Cheng), and international partners in numerical finance and climate modeling.

• Computational Science
• Computational Finance
• Ice Sheet Modeling
• +۲ مورد دیگر

Mahdi Fazeli is an Associate Professor at the School of Information Technology, Halmstad University, Sweden, specializing in hardware security and trust, energy-efficient computing, and embedded and cyber-physical systems. His academic journey began with a Ph.D. in Computer Engineering from Sharif University of Technology, Iran, in 2011. His career progression includes positions as Associate Professor at Bogazici University (2019-2021) and Iran University of Science and Technology (2016-2019), and Assistant Professor at the same institution (2011-2016). His research interests focus on hardware security and trust, reliable VLSI circuits and systems, energy-efficient computing, and dependable embedded systems. His work bridges the gap between theoretical security concepts and practical implementations in real-world systems, particularly in IoT and embedded environments. He has established himself as a leading researcher in Physical Unclonable Functions (PUFs), hardware trojans detection, and energy-efficient security solutions for resource-constrained devices. His publication record shows a clear progression and deepening expertise in hardware security, with recent work focusing on cutting-edge applications in edge computing, vehicular networks, and IoT security. His 2023-2025 publications demonstrate significant contributions to magnetic memory-based security primitives, anomaly detection systems, and energy-efficient security mechanisms. Throughout his career, Fazeli has led multiple research initiatives including the Dependable Systems and Architecture Lab (DSA) and the Networked and Embedded Systems Lab at Iran University of Science and Technology. His leadership extends to heading the Hardware Group and serving as Vice Chair for Educational Affairs, demonstrating his commitment to both research excellence and academic administration.

• Hardware Security
• Embedded Systems
• Energy-Efficient Computing
• +۵ مورد دیگر

Fredrik Haas is a Researcher at the Department of Biology, Faculty of Science, Lund University, Sweden. He is affiliated with BECC (Biodiversity and Ecosystem services in a Changing Climate), Biodiversity and Conservation Science, and Biodiversity and Evolution research groups. His work contributes to UN Sustainable Development Goals related to life on land and climate action. His research focuses on bird ecology , population dynamics , and conservation in changing climates . Key topics include waterbird responses to climate warming, hybridization in bird species (e.g., Corvus), and the effectiveness of protected areas. He is deeply involved in national monitoring programs and large-scale collaborative studies across Europe. Recent publications highlight trends in waterbird distribution shifts , impacts of climate change on avian communities , and conservation threats such as lead poisoning in sea ducks . His work combines field data, long-term monitoring, and cross-national collaboration to inform conservation policy. Årets miljöhjälte 2021 (Environment Hero of the Year 2021) Fredrik Haas leads and coordinates multiple research projects, including long-term bird monitoring initiatives funded by the Swedish Environmental Protection Agency and FORMAS. He serves as Principal Investigator on projects related to avian influenza preparedness and marine protected area functionality for waterbirds. His work is embedded in the Swedish Bird Survey infrastructure, contributing to national and international biodiversity reporting. He actively engages in public outreach, including media interviews and scientific presentations, such as discussing GPS tracking of diving ducks and new coastal bird survey programs.

• Ecology
• Biodiversity Conservation
• Zoology
• +۹ مورد دیگر

Jan Bergström is Assistant Professor of Clinical Psychology at Stockholm University's Department of Psychology, where he serves as Director of Studies for the Postgraduate Psychotherapist Program and Head of the Stockholm University Psychology Clinic. His research focuses on self-help based CBT and digital psychological interventions, with particular emphasis on clinical behavior analysis, psychotherapy supervision, Behavioral Activation for depression, exposure-based interventions for anxiety/OCD, and Functional Analytic Psychotherapy (FAP). He also investigates metatheoretical aspects of psychotherapy and mental health treatment mechanisms. Research group: Clinical psychology, neuroscience and health Key clinical interests: Mental health problems in neurodiverse populations (autism, ADHD) His publications demonstrate extensive work on internet-delivered therapies for panic disorder, OCD, and depression, including comparisons of blended vs full treatment modalities. He has developed non-heteronormative psychometric instruments like the revised Social Interaction Anxiety Scale (SIAS). Current projects include ZeroOCD smartphone app development for OCD treatment and iMERAT emotion recognition training for adolescents. The academic literature shows his focus on treatment efficacy, therapist time optimization (47% reduction in blended models), and functional analytic approaches to mental health classification. His cross-disciplinary work combines psychological theory with technology-mediated solutions, bridging clinical practice, neuroscience, and digital health innovations.

• Clinical Psychology
• Cognitive Behavioral Therapy (CBT)
• Digital Psychological Interventions
• +۹ مورد دیگر

Andreas J. Kassler is a Full Professor of Computer Science at Karlstad University, Sweden, where he has been since 2005. He co-chairs the Distributed Systems and Communication (DISCO) group and focuses on networking, cloud computing, and wireless networks. His research includes software-defined networking, future internet architectures, and network optimization. He has authored/co-authored over 130 peer-reviewed publications, holds 6 patents, and serves on editorial boards of journals like Journal of Internet Engineering . Education : Ph.D. in Computer Science, Universität Ulm (2002) Docent (Habilitation), Karlstad University (2007) M.Sc. in Mathematics/Computer Science, Universität Augsburg (1995) Research Interests : Software Defined Networking (SDN) Programmable Dataplanes Wireless Mesh Networks Time-Sensitive Networking (TSN) Edge Computing Machine Learning for Network Optimization Recent Directions : His work spans TSN scheduling, hybrid P4 solutions for 5G, and explainable AI in energy communities. He explores network resilience, latency optimization, and multi-objective control in microgrids. Service Contributions : Track co-chair for VTC 2015 General chair for Wired/Wireless Internet Communications (WWIC) 2013 Editor-in-Chief of IARIA Journal on Advances in Internet Technology Labs/Teams : Leads DISCO group at Karlstad University. Collaborates with global teams on projects like mmWave backhaul networks and SDN-enabled industrial control systems.

• Software Defined Networking
• Programmable Dataplanes
• Network Virtualization
• +۷ مورد دیگر

Malena Janson is a Lecturer at the Department of Child and Youth Studies , Stockholm University , specializing in children's culture and moving image media. Her work spans teaching, research, and public engagement across multiple disciplines. Swedish Film Institute network member for film educational research Steering group member of BIN Norden (Nordic children's culture network) Co-editor on multiple children's culture anthologies Research Focus : Historical and contemporary children's film/TV aesthetics Child figure functions in moving images Child-animal relationships in media Narrative liminality and phantasmagoria Norm criticism in visual culture Adaptation and transmediality Recent Publications address Swedish children's cinema history, Bergman film analysis, and media's role in shaping democratic citizenship. Articles since 2022 explore posthumanist narratives and eco-activism in children's television. Teaching Materials developed for Swedish Film Institute include guides for films like Heartstone , Your Name , and Matilda , emphasizing aesthetic learning and critical thinking.

• Children's Film Studies
• Children's Television Studies
• Film Pedagogy
• +۵ مورد دیگر

Fredrik Sandin is a Professor in the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology, where he leads the Machine Learning research group with approximately thirty members. His work focuses on neuromorphic technologies and the intersection of machine learning with computational physics to solve challenging real-world interaction problems. He coordinates the 'Teknisk fysik och elektroteknik' program at LTU and has been instrumental in establishing neuromorphic research activities at the university. Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering Member of WASP (Wallenberg AI, Autonomous Systems and Software Program) and ELLIS (European Laboratory for Learning and Intelligent Systems) Coordinator of Neuromorphic Innovation Platform Sweden with KTH, Lund University, Uppsala University, FOI, ABB, Ericsson, and SAAB Fredrik earned his PhD in Physics from Luleå University of Technology in 2007, with thesis work focusing on dense states of matter in neutron stars. His academic journey began with an MSc diploma work in ATLAS at CERN in 2001, followed by postdoctoral research in computational physics at IFPA in Belgium (2008-2009) and brain-like computing at EISLAB with Prof. Jerker Delsing (2010-2011). Professor Sandin's research interests center around neuromorphic technologies, particularly neuromorphic computing and spiking neural networks. He investigates sensor/detector and intelligent systems co-design where constraints like energy, power, latency, and dynamic range challenge conventional digital approaches. His work spans mixed-signal neuromorphic circuits, algorithms, and systems, as well as machine learning projects involving industrial data and collaboration. He has been a key figure in establishing neuromorphic research at LTU, supported by The Kempe Foundations, particularly through the 2014 Gunnar Öquist Fellowship. His recent publications demonstrate a strong interdisciplinary focus spanning quantum phase transitions, particle physics detector optimization, renewable energy materials, and the integration of large language models into control systems. This diverse portfolio reflects his approach connecting machine learning with fundamental physics and practical engineering applications, particularly in neuromorphic computing and intelligent systems design, with emphasis on solving real-world problems through co-design of hardware and algorithms. Gunnar Öquist Fellowship Award and 3 MSEK grant from The Kempe Foundations ISSP award for an Original Work in Theoretical Physics (signed by Prof. 't Hooft and Prof. Zichichi) New-Talents award for original work in theoretical physics at the International School of Subnuclear Physics in Erice Professor Sandin has supervised numerous PhD students working on topics ranging from neuromorphic TinyML to materials for neuromorphic computing, privacy-preserving machine learning at the edge, and intelligent fault diagnosis. He has secured substantial research funding from various sources including Vinnova, ÅForsk, Kempe Foundations, WASP-WISE, and EU programs like ECSEL JU Arrowhead Tools and ITEA3 AutoDC. His current major projects include the Neuromorphic Innovation Platform Sweden and several initiatives focused on neuromorphic condition monitoring and computing, with total funding exceeding 30 MSEK in the past five years. He leads the Machine Learning group at LTU, which collaborates extensively with industry partners including ABB, Ericsson, SAAB, SKF, and RISE. The group is active in developing neuromorphic technologies for wireless sensor networks, condition monitoring systems, and next-generation intelligent systems that address energy, power, and latency constraints that challenge conventional digital approaches.

• Machine Learning
• Neuromorphic Technologies
• Computational Physics
• +۶ مورد دیگر