جست‌وجوی استاد و پژوهشگر

• Linguistics
• Language Evolution
• Cultural Evolution
• +۵ مورد دیگر

Anna Jon-And is a Researcher and Director of the Center for Cultural Evolution at Stockholm University , affiliated with the Department of Psychology . Her interdisciplinary work bridges linguistics , cognitive science , and cultural evolution , focusing on how sequence representation , language contact , and computational models explain the emergence of human language and its unique properties. Research Interests include: Language evolution through sequence learning and cognitive constraints Contact-induced language change in Portuguese varieties (Angola, Mozambique, Afro-Brazilian communities) Computational modeling of grammatical structure emergence Comparative analysis of pidgins, creoles, and non-contact languages Neurocognitive prerequisites for language and cultural complexity Publications highlight trends in language evolution models , compositional systems , and cross-linguistic complexity cycles . Her work demonstrates how demographic factors and learnability pressures drive linguistic innovation in multilingual settings. The Center for Cultural Evolution at Stockholm University serves as the primary platform for her interdisciplinary research initiatives.

Anders Björnمشاهده پروفایل

استاد

• Nonlinear Potential Theory
• Analysis on Metric Spaces
• Differential Equations
• +۳ مورد دیگر

Anders Björn is a Professor at the Department of Mathematics (MAI) at Linköping University (LIU), affiliated with the Analysis and Mathematics Education (ANDI) division. His research focuses on Nonlinear Potential Theory , particularly p-harmonic functions , quasiminimizers , and Newtonian Sobolev spaces in metric spaces. He co-leads the research group in this area and contributes to Analysis on Metric Spaces . He teaches undergraduate and graduate courses, including Real Analysis and Functional Analysis . Organizational Roles: Organizer of the Mathematical Colloquium, Local Representative for Svenska Matematikersamfundet (Swedish Mathematical Society). Editorial Work: Former Technical Editor for Acta Mathematica (2004–2015) and Arkiv för Matematik (1993–2015), both published by Institut Mittag-Leffler. His research explores foundational questions in mathematical analysis, blending pure mathematics with interdisciplinary applications. He emphasizes understanding properties of solutions to differential equations in general settings, akin to constructing an 'identikit' of mathematical phenomena. His work is published in collaboration with the ANDI group, and he actively engages in promoting mathematics through outreach and academic service.

• Human-Robot Interaction
• Social Robotics
• Group Dynamics
• +۳ مورد دیگر

Sarah Gillet is a Postdoctoral Researcher at the Division of Robotics, Perception, and Learning at KTH Royal Institute of Technology, where she focuses on developing social robot behaviors to foster collaboration and inclusion in human groups. Her research addresses challenges like in-group favoritism through computational approaches to shape group interactions. She holds a Doctoral Thesis (2024) titled Computational Approaches to Interaction-Shaping Robotics . Her work emphasizes group dynamics , robot-mediated inclusion , and pedagogical robotics , particularly in children and adolescent populations. Key areas include gaze behavior analysis, equitable participation promotion, and social robot roles such as mediators in educational settings. Dr. Gillet teaches the Social Robotics (DD2413) course and supervises master theses. Her recent publications explore robot gaze behaviors for participation balance, socially appropriate listening, and influence prediction models like RoSI. She actively participates in conferences like ACM/IEEE HRI and IEEE RO-MAN. Her research integrates computational methods with social science insights to design robots that actively improve human group interactions, with applications in education, collaboration, and bias mitigation.

• Surgery
• Acute Care Surgery
• Gallstone Disease
• +۳ مورد دیگر

Dr. Gabriel Sandblom is a Senior Lecturer and Senior Physician at the Karolinska Institutet's Department of Clinical Science and Education, Södersjukhuset. His research group focuses on improving outcomes in gallstone surgery, abdominal wall surgery, and acute pancreatitis through population-based studies and clinical trials. He leads projects on gallstone disease management , hernia repair techniques , and quality of life assessments post-surgery. The group's recent publications (2025-2016) span topics such as laparoscopic cholecystectomy optimization , hernia repair complications , and acute surgical care . Articles emphasize comparative surgical techniques (ultrasonic vs electrocautery), patient safety , and long-term functional outcomes after procedures like diastasis recti repair . Studies often use Swedish national registries to analyze trends in acute cholecystitis and colorectal surgery . Key collaborators include Drs. Enochsson, Österberg, and Ali . His work addresses weekend surgery outcomes , retained gallstones , and ERAS protocols in gastrointestinal surgery. The group also explores interprofessional teamwork and surgical training innovations like virtual simulators.

Ulf Mellströmمشاهده پروفایل

استاد

• Gender Studies
• Science and Technology Studies (STS)
• Masculinity Studies
• +۴ مورد دیگر

Ulf Mellström is a Professor in Gender Studies at Karlstad University, Sweden. He holds a PhD from Linköping University (1995) and has held academic positions at Linköping University (1995-2009), Luleå University of Technology (2005-2011), and Karlstad University since 2011. His research focuses on gender and technology studies, masculinity studies, globalization, and higher education. Key areas include the political economy of global knowledge production, gendered professions in STEM, and the intersection of technology, risk, and security. Education: PhD in Technology and Social Change (1995), Linköping University. Major research projects include investigations into globalized eduscapes, corporate universities in Dubai/India/Brazil, and gender mainstreaming in Swedish rescue services. He collaborates internationally, serving on boards such as MSB's Scientific Board and the Norwegian Research Council's gender studies program. Research interests span ethnographically grounded studies of gendered knowledge production, global comparative perspectives on STEM fields (e.g., Malaysia's female-dominated computer science), and the cultural embeddedness of technology use. He has supervised multiple PhD students and teaches courses in gender studies, ethnographic methodology, and STS. Publications include influential works like Masculinity, Power and Technology: A Malaysian Ethnography (2003), and articles in journals such as Science, Technology & Human Values and International Journal of Gender, Science, and Technology . His recent work explores posthumanist masculinity, autonomous vehicles, and transnational bachelorhood.

• Machine Learning
• Natural Language Processing
• Predictive Maintenance
• +۴ مورد دیگر

Tony Lindgren is an Associate Professor at the Department of Computer and Systems Science, Stockholm University, affiliated with the Data Science Research Group and Natural Language Processing Research Group. His work bridges data science and NLP , focusing on interpretable models, constraint programming, and predictive maintenance systems. Research interests include: Machine Learning for explainability and fairness Constraint Programming in maintenance optimization Natural Language Processing for risk analytics and troubleshooting Recent publications demonstrate trends in multi-objective optimization (2025 satellite scheduling), conformal prediction (2024 CoPAL), and fault detection (2024 Automotive Nowcasting). His work often integrates domain-specific constraints with scalable algorithms across applications like food safety and autonomous vehicles. Software tools developed by Lindgren include: Example-based Feature Tweaking Rule Indexing Frameworks His research groups focus on AI-driven decision support for high-stakes domains, combining technical innovation with societal impact considerations.

Zhou Zhouمشاهده پروفایل

استادیار

• Neurotrauma Prevention
• Biomechanical Modeling
• Medical Imaging
• +۵ مورد دیگر

Zhou Zhou is an Assistant Professor (tenure track) in Neuronic Engineering at KTH Royal Institute of Technology's Department of Biomedical Engineering and Health Systems. He is affiliated with the Digital Futures Faculty, a cross-disciplinary research center focusing on digital technologies for societal challenges. His research focuses on neurotrauma prevention, prediction, and protection through computational modeling, machine learning, and biomechanical validation. Dr. Zhou holds a PhD from KTH (2019) and completed postdoctoral training at Stanford University, specializing in sports safety and concussion prevention. His work is supported by VINNOVA, Swedish Research Council, and others. He received the 2025 Göran Gustafsson Prize for young researchers. Research interests include in silico modeling, fluid mechanics, and safety standardization for helmets. Zhou teaches courses such as Biomechanics and Neuronics (HL2035/CH213V) and leads labs in human and animal neurotrauma modeling. He seeks postdoctoral candidates for rat neurotrauma research. Education: PhD in Biomedical Engineering, KTH (2019); Postdoc at Stanford University (Sports Safety) Key Projects: InSilicoHealth ITN, helmet evaluation via virtual testing Labs/Teams: Neuronic Engineering Division, Digital Futures Collaboratory

• Stochastic Control
• Financial Mathematics
• Probability
• +۲ مورد دیگر

Nacira Agram is an Associate Professor at Kungliga Tekniska Högskolan (KTH), specializing in stochastic analysis, mean-field processes, and mathematical finance. She contributes to education through roles as Examiner and Teacher in advanced financial mathematics courses. Research Focus: Her work centers on stochastic differential equations with applications to financial markets, energy systems, and population modeling. Key areas include conditional McKean–Vlasov jump diffusions, singular control of stochastic Volterra equations, and deep learning applications in stochastic modeling. Publications: Recent research explores mean-field control, optimal stopping, and SPDEs with space interactions, emphasizing advanced mathematical techniques for financial and ecological systems. Teaching: Currently involved in courses like Financial Derivatives and Martingales and Stochastic Integrals , where she serves as course responsible and examiner.

Martin Stridhمشاهده پروفایل

دانشیار

• Biomedical Signal Processing
• Data-driven Diagnostics
• Machine Learning in Healthcare
• +۳ مورد دیگر

Martin Stridh is an Associate Professor and Senior Lecturer at the Department of Biomedical Engineering, Lund University, specializing in biomedical signal processing and data-driven diagnostics. He teaches courses in biomedical engineering, signal processing, e-health, and machine learning for healthcare applications. His research focuses on leveraging signal processing and machine learning to improve diagnostics and treatment outcome prediction in cardiac and eye-tracking data. Notable projects include AI-based ECG screening, artifact-free ECG analysis, and event detection in cardiac signals. Recent publications highlight advancements in atrial fibrillation detection using ECG data, with an emphasis on reducing false alarms and improving accuracy. His work often involves collaboration with clinical and engineering teams, particularly in the MY-ATRIA network. Top 10 cited paper 2006-2008 in Medical Engineering and Physics Best teacher 2001 by the Computer Science program Svenska Cardiologföreningens och Knolls Competition Abstract Prize 1999 As founder of Cardiolund AB, he applies his research to automated ECG analysis for arrhythmia screening and patient prioritization. He supervises PhD students, including Ricardo Salinas Martinez, and contributes to cross-disciplinary workshops like Engineering Health Crossroads.

Patrick Praxمشاهده پروفایل

استادیار

• Game Design
• Sustainability
• Media Literacy
• +۱۱ مورد دیگر

Patrick Prax is an Assistant Professor at the Department of Game Design, Uppsala University, specializing in participatory media and critical game studies. His research explores co-creation in digital games as alternative media, focusing on systemic sustainability, cultural heritage preservation, and social justice frameworks within gaming ecosystems. PhD in Media Studies (Uppsala University, 2016) Co-chair, Game Studies Working Group at NordMedia Board member, Cultural Heritage Incubator (Swedish National Heritage Board) Key research areas include: Political economy critiques through game mechanisms (e.g., loot boxes) Reflexive approaches to digital game preservation Esports culture and leadership dynamics Media literacy and civic engagement through gaming Recent publications examine sustainability integration in game education, systemic issues in game monetization, and community-driven adaptations of Warhammer 40k. He actively engages with public discourse through TEDx talks, national media appearances (TV4, UNT24), and policy advisory roles.

Per-Olov Östbergمشاهده پروفایل

دانشیار

• Distributed Systems
• Cloud Computing
• Autonomous Resource Management
• +۷ مورد دیگر

Per-Olov Östberg is an Associate Professor at the Department of Computing Science, Umeå University, and a research leader in the Autonomous Distributed Systems Lab (ADSLab). His work focuses on resource management for distributed cloud environments using AI/ML-based techniques, with a particular emphasis on ethical reasoning integration for responsible AI solutions. Research Themes: Cloud-edge continuum optimization, serverless frameworks, 6G computing challenges, data fabric architectures, and energy-aware systems Projects: COGNIT (cognitive serverless framework), WARA Common Information Bridge (data-driven cloud operations), De facto Center of Excellence in Autonomous Distributed Systems His publications (2011-2024) demonstrate consistent contributions to cloud resource management, including fairshare scheduling, decentralized prioritization, and power-performance tradeoffs. He has collaborated on interdisciplinary projects with institutions across Europe. Scientific Awards: None explicitly stated in provided information.

• Machine Learning
• Causal Inference
• Healthcare Analytics
• +۳ مورد دیگر

Fredrik Johansson is an Associate Professor in the Department of Data Science and AI at Chalmers University of Technology. His research focuses on developing machine learning methods for healthcare applications, causal inference, and handling imperfect data. He leads multiple funded projects including WASP AI/MLX and research on causal machine learning for healthcare applications. Johansson's core research interests include: Machine learning for clinical decision support and healthcare analytics Causal inference methods for observational data Handling missing values and data quality issues Interpretable and robust ML models Domain adaptation and transfer learning Reinforcement learning for treatment policies His recent publications demonstrate strong focus on clinical ML applications (dermatology, rheumatology, Alzheimer's) and methodological work on causal inference. Frequent themes include handling missing data, model interpretability, and healthcare policy optimization. Collaborative work spans multiple medical domains using registry data, proteomics, and medical imaging. He leads significant research projects including: Kausalitet och sidoinformation för effektiv maskininlärning (VR-funded) Maskininlärning för kausal inferens från observationsdata (Wallenberg) Förutsättningar för inlärning av överförbara koncept (Wallenberg) Fattigdomsfällor i Afrika (Formas-funded)

• Cloud Computing
• Distributed Computing
• Parallel Computing
• +۱۰ مورد دیگر

Professor Javid Taheri is a leading academic at Karlstad University (2019–present), previously serving as Associate Professor (2015–2019) and Senior Lecturer (2015). His research focuses on cloud computing, edge computing, distributed systems, and AI-driven networking. He holds a Ph.D. in Information Technologies from The University of Sydney (2007) and an M.Sc./B.Sc. in Electrical Engineering from Sharif University of Technology (2000/1998). Research interests include cloud-edge continuum systems , resource optimization , 5G/6G networking , and AI for IoT . Notable contributions include frameworks like PerfSim (microservice performance simulation) and MultiScaler (auto-scaling for cloud applications). Publications highlight innovations in edge computing optimization, security for distributed systems, and machine learning for resource management. He has co-authored over 150 papers across top venues like IEEE Transactions and ACM conferences. Academic leadership includes roles as conference chair (IC2E 2023) and editorial work for journals on cloud and edge computing.

• Sanitation Planning
• Wastewater Management
• Sustainable Urban Development
• +۵ مورد دیگر

Jennifer R Mc Conville is a researcher at Chalmers University of Technology's Department of Urban Design and Planning. Her work focuses on sustainable sanitation systems, particularly in developing countries, with extensive research on wastewater management, community-based approaches, and resource recovery. Key affiliations: Formas-funded projects (2012–2020) Geographic focus: Bolivia, West Africa, Sweden Methodologies: Gamification, participatory planning, regime analysis Research interests include: Sanitation planning frameworks Decentralized wastewater systems Equity in urban-rural transitions Policy implementation barriers Recent publications analyze: Circular economy in sanitation Decision-support tools Community-managed infrastructure Role-playing in engineering education

• Maritime Navigation
• Marine Engineering
• Human Factors in Maritime Systems
• +۳ مورد دیگر

Reto Weber is a Lecturer in Technology at Chalmers University of Technology, specializing in Maritime Studies . With a professional background as a sea captain and pilot on the Swedish west coast, he brings practical maritime expertise to his academic work in bridge simulators and e-navigation systems. Education : Sea Captain's Degree, Master's from World Maritime University (Switzerland, England, Sweden) Affiliations : Chalmers University, Lighthouse - Swedish Maritime Competence Center, Swedish Transport Administration (Trafikverket) His research focuses on maritime navigation systems , particularly examining human factors in automated environments. Key areas include: Algorithmic decision support in maritime traffic Collision avoidance mechanisms Impact of automation on vessel traffic services Development of web-based simulation tools Route exchange protocols and e-navigation solutions Remote ship monitoring ergonomics Reto's publications reveal trends in SMART ship technologies and Lighthouse projects , emphasizing the integration of artificial intelligence with traditional maritime practices. His work spans simulation-based training tools, COLREG compliance, and physics-informed machine learning architectures for wind propulsion optimization. As an examiner for courses like MManeuvering and Navigation in Confined Waters and Bridge Service , he bridges academic research with practical maritime education through Chalmers' Full Mission Bridge Simulator . Collaborations with institutions like Lighthouse and Trafikverket demonstrate his commitment to advancing maritime safety and efficiency through technology.