جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• Network Performance
• IoT Security
• +۳ مورد دیگر

Andreas Johnsson is an Adjunct Senior Lecturer at the Department of Information Technology , Uppsala University, Sweden. His research spans Machine Learning , Network Performance , and IoT Security in the context of 5G/6G Networks and Edge Computing . Research interests include federated learning, transfer learning, and network optimization techniques. His recent work (2024-2021) focuses on self-regulated learning models for 6G, multi-objective neural architecture search, IoT intrusion detection generalizability, and delay prediction in heterogeneous networks. He has co-authored over 15 publications in high-impact venues like IEEE Transactions on Machine Learning in Communications and Networking and IEEE NOMS . Andreas actively collaborates with researchers such as Jalil Taghia, Farnaz Moradi, and Hannes Larsson. His contributions extend to change detection algorithms, policy adaptation frameworks, and feature selection methodologies in dynamic network environments. No formal scientific awards or student advisement details are currently documented.

• Electrical Engineering
• Wind Turbine Systems
• Electric Vehicle Powertrains
• +۵ مورد دیگر

Torbjörn Thiringer is a Professor in Electrical Engineering at Chalmers University of Technology. His research focuses on electrical systems for wind turbines and electric vehicles, with particular emphasis on system-level analysis and component-level studies of electrical machines, power electronics, and battery systems. Key research areas: Wind turbine systems, Electric vehicle drives, Battery degradation, Power electronics optimization Recent work explores graphene-based thermal management, fuel cell hybrid vehicles, and direct current building distribution efficiency His publications demonstrate interdisciplinary engagement with topics spanning: Finite element analysis of motor designs Life cycle assessment of energy systems Thermal modeling of SiC inverters Wave energy converter optimization Core loss measurement techniques Hydrogen fuel cell integration Professor Thiringer's collaborations span multiple institutions and industry partners, focusing on both theoretical modeling and practical implementation of advanced energy systems.

Anna-Sara Lindمشاهده پروفایل

استاد

• Public Law
• EU Law
• Human Rights
• +۳ مورد دیگر

Anna-Sara Lind is a Professor of Public Law at Uppsala University's Faculty of Law , with additional roles as Scientific Leader at the Center for Multidisciplinary Research on Religion and Society (CRS) and Member of the European Commission Against Racism and Intolerance (ECRI) (2020-). Her research focuses on the intersection of EU Law and Welfare State Constitutionalism , emphasizing Human Rights , Digital Governance , and Migration Policy . BA (2003) , Doctor of Jurisprudence in Constitutional Law (2009) Senior Lecturer (2011), Associate Professor (2014) Her 15 most recent publications (2015-2025) explore: AI's impact on Democratic Governance (2022-2025) Human Rights in Migration Policy (2017-2022) Comparative Constitutional Law across EU states (2012-2015) Data Protection frameworks in Biobanking (2013-2014) Religious Freedom versus Freedom of Expression (2016-2021) Scientific Recognition: Martin H:son Holmdahl Scholarship (2016) for human rights promotion Kungliga Vetenskapssocieteten Benzelius Award (2010) for constitutional law dissertation As an advisor, she has guided: Yana Litins'ka (Medical Law, 2018) Tim Holappa (Public Law, 2023) International advisees at Aristotle University and Stockholm University She leads the WASP-HS Management Team (2019-) and co-edits Nordisk Socialrättslig Tidskrift (2016-).

• Nuclear Reactor Safety
• Thermal-Hydraulics
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Satya Prakash Saraswat is a Postdoctoral Researcher at KTH Royal Institute of Technology's Nuclear Science and Engineering Unit in Stockholm, Sweden. He holds a Ph.D. from the Indian Institute of Technology Kanpur, with expertise in thermal-hydraulics, nuclear reactor safety, computational fluid dynamics (CFD), and system code development. His work spans fission and fusion reactor analysis, including contributions to the VALIDATIO project (University of Pisa) for fusion safety tools and the ATLAS project (Khalifa University) for advanced reactor safety enhancements. Research interests focus on computational modeling, AI integration in nuclear safety, and experimental validation of safety systems. He has developed skills in both experimental and numerical techniques, addressing challenges in multiphase flow, reactor core dynamics, and material compatibility. Key projects include validation of ASYST and SIMMER codes for condensation phenomena and lead-lithium interaction studies. Publications highlight advancements in burn-up wave characterization, code stability analysis (RELAP5/SIMMER), and thermal-hydraulic safety assessments for reactors like ESBWR and ITER systems. His work emphasizes enhancing safety tools through rigorous validation and innovative methodologies.

• International Trade Law
• International Economic Law
• Public International Law
• +۳ مورد دیگر

Trisha Rajput is an Assistant Professor at the School of Business, Economics and Law , University of Gothenburg , where she teaches international trade law to both law and management students. Her research focuses on international economic law, with particular emphasis on trade facilitation, global value chains and the intersection of law and digital technology in international commerce. Education Doctor of Laws (PhD), University of Leeds, UK – thesis on WTO coordination with non-WTO regimes in public international law. LL.M. in European and International Business Law, University of Leeds, UK. LL.B., India – prior lecturing experience at Rajiv Gandhi National University of Law. Research Interests Dr Rajput’s work lies at the nexus of international trade law , public international law and emerging digital technologies . Current projects investigate how digital infrastructures—ranging from AI-based transport systems to blockchain-enabled single-window environments—can enhance supply-chain finance for SMEs along the China-Europe railway corridors. Her scholarship also critically examines normative conflicts between WTO rules and other specialist international regimes. Publications Overview Spanning 2013-2024, her publications reveal a consistent focus on (i) trade-facilitation mechanisms (single-window reforms, paperless trade initiatives), (ii) regulation of risk in multimodal transport, and (iii) technology governance such as AI transparency in customs and blockchain adoption in export-oriented firms. Collaborative work with scholars from law, logistics and management disciplines underlines an interdisciplinary approach. Research Funding & Projects European Union funded project on trade facilitation and global value chains. Principal investigator, “Role of Digital Infrastructures in Financing SMEs” (2019-2022). Co-investigator, “Transition to AI-based Transport Systems” (2020-2021). Contact & Location Room C620, Department of Law, Vasagatan 1, SE-411 24 Göteborg, Sweden. Email: trisha.rajput@law.gu.se

Magnus Strandمشاهده پروفایل

مدرس ارشد

• EU Law
• Civil Law
• Competition Law
• +۳ مورد دیگر

Magnus Strand serves as Senior Lecturer in Civil Law at the Department of Law, Uppsala University (2025-present) and Associate researcher at the Department of Business Administration (2025-present). Previously, he was Research leader in commercial law (2021-2025), Member of the Education Committee of the Faculty of Social Sciences (2020-2025), and Director of Studies in Commercial Law (2016-2020). He also held a Part-time Professor position at the European University Institute in Florence (2019-2020). Doctor of Laws, Uppsala University (2015) Bachelor of Laws, Lund University (2006) Bachelor of Philosophy, Uppsala University (2006) Associate lawyer at Lindahl law firm (2006-2008) Professor Strand's research focuses on the complex interaction between EU law and national legal systems, with particular expertise in competition law, damages law, and the regulatory challenges posed by artificial intelligence and digital markets. His scholarly work has evolved from traditional EU competition law topics toward the emerging challenges of AI governance. Recent publications demonstrate his ability to identify and engage with cutting-edge legal challenges as they emerge in the digital economy, particularly examining how national legal frameworks interact with EU regulations in commercial contexts. His publication record reveals a clear trajectory from foundational work on competition damages (2010-2017) toward contemporary issues in AI regulation (2022-2025). The most recent articles show increasing focus on algorithmic trading, AI-based regulatory technology, and adaptation of damage law to AI systems. This evolution demonstrates his scholarly agility in addressing rapidly developing legal frontiers while maintaining expertise in core EU law principles. Editor of the European Law Journal (ERT) Member of steering group for Swedish Network for European Law Research (2012-2015) Coordinator for Uppsala University's European Law Moot Court Competition (2008-2012) As an educator and administrator, Strand has significantly contributed to legal education through curriculum development and interdisciplinary approaches. His research leadership extends to multiple funded projects examining regulatory governance in digital markets and AI technology, particularly within financial sectors, demonstrating his commitment to bridging theoretical scholarship with practical regulatory challenges. Professor Strand leads several major research initiatives including "Konkurrenstvister bortom harmoniseringen" (financed by Konkurrensverket), "AI Design Futures," and "AI-based RegTech" (both financed by The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society). These projects position him at the forefront of legal scholarship addressing the intersection of competition law, digital markets, and AI governance.

Carl Johan Sundbergمشاهده پروفایل

استاد

• Molecular Exercise Physiology
• Skeletal Muscle Adaptation
• Mitochondrial Biogenesis
• +۶ مورد دیگر

Carl Johan Sundberg is a Professor at the Karolinska Institutet , affiliated with the Department of Physiology and Pharmacology and the Department of Learning, Informatics, Management and Ethics (2025-2027). He serves as Dean for KI Nord and is a licensed physician. Current research focuses on molecular exercise physiology , including mitochondrial biogenesis , epigenetic regulation , and cardiometabolic disease . Key research areas: Medical Genetics and Genomics , Physiology and Anatomy , Public Health . His work bridges molecular mechanisms in skeletal muscle with clinical applications for diabetes, cancer, and post-stroke rehabilitation. Notable awards include the EMBO Certificate of Commendation and European Commission’s Descartes Communication Prize (2005). Recent publications highlight epigenetic differences between trained/untrained individuals, exercise-induced immune mobilization , and digital health tools for cardiac risk stratification. Grants include funding from the Swedish Research Council and Swedish Heart-Lung Foundation .

Johan Lindquistمشاهده پروفایل

استاد

• Transnationalism
• Migration Studies
• Southeast Asian Anthropology
• +۴ مورد دیگر

Johan Lindquist is a Professor at the Department of Social Anthropology, Stockholm University, and former Director of the Forum for Asian Studies. His work spans transnational migration, digital labor, and Southeast Asian modernity, with fieldwork in Indonesia, Malaysia, and Thailand. He has held fellowships at SCORE (2020), Max Planck Institute (2021), and visiting roles at Harvard, Cornell, and National University of Singapore. Research Focus: Migration infrastructure, social media economies, gendered labor dynamics, and ethnographic studies of Southeast Asia. Projects: Investigates social media follower markets and migrant training programs funded by the Swedish Research Council. Awards: Fellowships from prestigious institutions; visiting scholar appointments. His publications address Transnational labor networks Digital platform economies Migrant brokerage systems Cashlessness and financialization He co-edited Figures of Southeast Asian Modernity and directed the documentary B.A.T.A.M. , linking academic work to artistic collaborations. Key contributions include the concept of "infrastructuralization" in migration studies and ethnographic analyses of social media's role in global capitalism. His work bridges academic research, public policy critique, and interdisciplinary art-science projects.

Petter Brodinمشاهده پروفایل

استاد

• Systems Immunology
• Pediatric Immunology
• Immune System Regulation
• +۷ مورد دیگر

Petter Brodin is a dual-appointed academic with a Professor ship at Karolinska Institutet 's Department of Women's and Children's Health and a Senior Lecturer position at Imperial College London 's MRC London Institute of Medical Sciences. His work bridges clinical pediatrics and cutting-edge systems immunology , focusing on human immune system profiling through blood analysis. Education : MD/PhD from Karolinska Institutet, postdoc at Stanford University Research spans three major domains: Sex hormone immunomodulation - Revealing testosterone's role in suppressing autoimmune pathways while enhancing infection vulnerability through Nature studies of gender-affirming treatment Post-COVID pathophysiology - Developing antiviral treatment strategies for chronic SARS-CoV-2 reservoirs with Pfizer, focusing on severely affected patients Developmental immunology - Mapping immune-microbiome interactions in newborns and cancer immunotherapy applications in pediatric solid tumors Major awards include: 2023 Oscar Medin Prize 2024 Wallenberg Scholar 2022 VR and SSMF Consolidator Awards 2019 EMBO Young Investigator 2015 ERC Starting Grant Supervised 5 PhD/MSc students while leading a multidisciplinary team at BrodiN lab (brodinlab.com). Current clinical trials include: 15-day antiviral regimen for tissue reservoirs Immunomodulatory approaches for autoimmune profiles Active in science communication through BlueSky platform and Paris Kids Cancer Symposium leadership, emphasizing human-centric research over animal models.

Alice Haynesمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Soft Robotics
• E-Textiles
• +۶ مورد دیگر

Alice Haynes is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, working on the Felt Connections project under the Division of Media Technology and Interaction Design . She collaborates with Prof. Kristina Höök and Associate Prof. Iolanda Leite to create shape-changing textile interfaces that foster meaningful bodily interactions for children and adults. Education PhD in Engineering Mathematics, University of Bristol (2022) Specialization in Soft Robotics and Haptic Interfaces Her research blends soft robotics, e-textiles, and soma design to develop tactile technologies that prioritize bodily engagement over traditional visual/auditory interfaces. Current work explores: first-person design for scoliosis, symmetry-asymmetry dynamics in bodily interactions, and soma-driven methods that emphasize felt experiences. Key article trends include shape-changing textiles (SMA-actuated smocking, machine embroidery), emotional/therapeutic applications (anxiety relief, social touch), and multisensory integration (audio-tactile mappings, biosignal interaction). Scientific Contributions Recipient of Digital Futures Postdoctoral Fellowship Co-design methodologies for child-centered technology Material-driven evaluation frameworks for e-textiles Embodied interaction paradigms through haptic cushions Alice teaches Human-Computer Interaction Research Seminars (DH2632) and Media Technology and Interaction Design (DM2601) , while actively seeking Master's students for collaborative thesis work.

• Technology-Enhanced Learning
• Learning Analytics
• Artificial Intelligence in Education
• +۵ مورد دیگر

Olga Viberg is an Associate Professor at KTH Royal Institute of Technology, specializing in Technology-Enhanced Learning within the Division of Media Technology and Interaction Design at the School of Electrical Engineering and Computer Science. With a PhD in Informatics from Örebro University (2015), she brings extensive experience from Dalarna University (2008-2016) as a lecturer in Media Technology and Learning Sciences. Current roles: Associate Professor, Docent, Course Coordinator Key research areas: AI in Education, Learning Analytics, Privacy & Ethics Leadership roles: Editor-in-Chief of International Journal of Learning Analytics , Vice-President of SoLAR Research Focus : Viberg's work bridges AI, learning analytics, and educational design through value-sensitive approaches. Her studies address: Privacy concerns in learning analytics Cultural alignment of AI systems Self-regulated learning frameworks Trust dynamics in AI adoption Responsible data practices in education Generative AI applications in assessment Scientific Contributions : Recognized through: 2024 Google Academic Research Award Multiple conference recognitions (LAK'24, LAK'23) Leadership in international initiatives like UNESCO's online education policy Educational Impact : Directly shaping academic programs through: Coordination of Bachelor's course in Media Technology Teaching PhD courses in Learning Analytics Organizing Nordic Learning Analytics Summer Institute

Cornelia Brantnerمشاهده پروفایل

استاد

• Geomedia Studies
• Visual Communication
• Digital Communication
• +۵ مورد دیگر

Cornelia Brantner is a Professor at Karlstad University's Department of Geography, Media and Communication, and coordinates the Centre for Geomedia Studies. She has held previous roles including visiting scholar at Carnegie Mellon University, temporary Professorships at Bremen University and TU Dresden, and research positions at the Austrian Academy of Sciences. Her research focuses on geomedia, visual communication, digital publics, and algorithmic accountability. Current projects include leading the Swedish Research Council-funded initiative on digital infrastructure sovereignty in welfare states. Education and career highlights include a background in communication studies, with expertise spanning media ethics, digital governance, and spatial media analysis. Her work interrogates intersections of online/offline spaces, visibility dynamics, and inequality in digitized environments. Research trends in her publications emphasize algorithmic accountability, AI's role in media ecosystems, and data sovereignty. Key themes include analyzing geopolitical implications of digital infrastructure, tracking visual discourse around climate change via social media, and exploring ethical dimensions of automation and social media algorithms. Her grants and leadership roles reflect a focus on bridging theoretical and applied media studies. Her lab/center, the Centre for Geomedia Studies, advances interdisciplinary research into spatially-oriented digital media practices. Notable collaborations include international teams analyzing Twitter's sociotechnical ecosystems and cross-linguistic political information retrieval systems.

• Genetics
• Metabolism
• Liver Diseases
• +۵ مورد دیگر

Professor Stefano Romeo leads the Human Translational Genetics group at Karolinska Institutet's Department of Medicine, Huddinge, where his research bridges genetics, metabolism, and clinical medicine to address metabolic diseases. His work focuses on uncovering genetic and molecular mechanisms underlying liver diseases, diabetes, and cardiovascular conditions through innovative translational approaches. Professor Romeo's research has significantly advanced our understanding of metabolic dysfunction-associated steatotic liver disease (MASLD), identifying key genetic variants including PNPLA3 and MBOAT7 genes. He pioneered the development of multilineage 3D in vitro models for fatty liver disease and discovered a protective genetic variant in the PSD3 gene. His landmark achievement is the identification of two distinct MASLD types with different cardiometabolic risk profiles using compartmentalized polygenic risk scores, which has major implications for targeted treatment approaches. In cardiovascular research, Professor Romeo has developed machine learning algorithms for diagnosing familial hypercholesterolemia and elucidated the role of lipoprotein(a) as an independent cardiovascular risk factor. His integrated approach combines genomics, bioinformatics, molecular biology, and clinical investigations to translate discoveries into practical applications. Research Focus Areas: Genetic basis of metabolic liver diseases Cardiometabolic risk stratification 3D disease modeling and therapeutic testing Polygenic risk scoring for precision medicine Molecular pathways in lipid metabolism Professor Romeo's work has resulted in numerous high-impact publications in journals including Nature Medicine and Journal of Hepatology, demonstrating his leadership in translating genetic insights into improved disease prediction, prevention, and therapeutic outcomes for patients with metabolic disorders.

• Power Electronics
• Embedded Systems
• Electrical Engineering
• +۶ مورد دیگر

Kent Bertilsson is a Professor and Director of Studies at the Department of Computer and Electrical Engineering (DET) at Mid Sweden University . He serves as a Deputy Prefect and specializes in Power Electronics , with a focus on Embedded Systems , Power Converters , and Fiber Installation Equipment . His research includes projects like DeHigh (electrification of work vehicles) and STORE (electrical energy storage). His work spans High-Frequency Converters , Planar Magnetics , and Multilevel Inverters , with applications in Electric Vehicles and Renewable Energy Systems . He has extensively published in journals like IEEE Transactions on Power Electronics and Energies , emphasizing component optimization and energy efficiency. Notable projects include 48 V Drive Systems and Smart Industry Sweden .

• 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.