جستجوی استاد راهنمای دانشگاهی

• Machine Learning
• Federated Learning
• Data Mining
• +۴ مورد دیگر

Addi Ait-Mlouk is a Senior Lecturer in Informatics at the School of Informatics, University of Skövde. He holds a prominent role as a Course Coordinator for multiple Master's level courses, contributing to advanced education in informatics and technology. His research focuses on machine learning applications in federated learning, privacy-preserving technologies, and industrial automation. Current projects include ProcTwin , a digital tool development initiative for optimizing steel production processes through machine learning and sensor data integration (2025–2028). Key research interests span federated learning for healthcare diagnostics, edge computing optimization, and privacy-enhanced AI systems. His 2024 publications highlight advancements in federated learning for leukemia diagnosis and brain tumor classification, emphasizing ethical AI integration. Earlier work includes contributions to data mining methodologies for road safety and smart grid security. Collaborations involve industry partners like ABB, RISE, and ShiftLabs, focusing on additive manufacturing and industrial digital transformation. Addi actively participates in academic events such as the Sweden Game Conference and INGENIUM European University initiatives, promoting interdisciplinary innovation.

Henrik Smithمشاهده پروفایل

استاد

• Conservation Ecology
• Biodiversity
• Climate Change
• +۳ مورد دیگر

Henrik Smith is a Professor at Lund University, serving as Chair of the Centre for Environmental and Climate Science (CEC) and Principal Investigator. He also coordinates the LU Profile Area: Nature-based Future Solutions and is involved in Biodiversity and Evolution research. His work focuses on behavioral ecology, conservation ecology, and the impacts of anthropogenic environmental changes on biodiversity and ecosystem services. Smith has held leadership roles in initiatives like BECC (2010-2024) and collaborates with stakeholders to integrate science into policy. His research explores how agricultural intensification and climate change affect meta-communities of organisms, particularly pollination and biological control services. He emphasizes interdisciplinary approaches, combining ecological research with policy development and valuation of ecosystem services. Smith has secured funding for 69 projects, including Horizon Europe initiatives like AGRI4POL and VALOR, focusing on sustainable agriculture and pollinator conservation. Smith has received awards including the Lund University Pedagogic Prize (2002) and the Roséns Linnépris i Zoologi (2023). He actively engages in public outreach through seminars, media participation, and publications. His educational contributions include developing cross-disciplinary programs like the Environmental Science PhD program and courses addressing environmental issues. Key grants include analysis of synergies between Swedish agricultural policies and EU regulations, quantifying ecosystem services in forests, and biodiversity science for financial strategies. His work addresses SDGs related to climate action, life on land, and sustainable cities. Smith's activities span international collaborations, policy advising, and supervising 22 doctoral works.

• Immunology
• Viral Immunology
• Cancer Immunotherapy
• +۴ مورد دیگر

Hans-Gustaf Ljunggren is a Professor and Chief Physician at Karolinska Institutet's Department of Medicine, Huddinge, where he leads the research group 'Immune responses to human viral infections and cancer'. His team investigates immunological reactions to viral pathogens (e.g., SARS-CoV-2, hantavirus, flavivirus) and develops NK cell-based immunotherapies for cancer. He obtained his Medical Degree from Karolinska Institutet in 1992. Research focuses on viral immunology , cancer immunotherapy , and NK cell biology . Key interests include immune evasion mechanisms, vaccine efficacy in immunocompromised populations, and translational applications of innate immunity in oncology. The group employs high-dimensional profiling and clinical trials to dissect immune correlates of protection and disease severity. Recent publications emphasize SARS-CoV-2 variant evolution , T/NK cell cross-reactivity , and immunotherapy optimization . Articles frequently integrate virology, structural biology, and clinical immunology to address pandemic threats and cancer resistance mechanisms. Longitudinal studies reveal durable immune memory post-vaccination and infection, while translational work advances adoptive NK cell therapies for hematologic malignancies. Dr. Ljunggren advises multiple doctoral students and postdoctoral fellows, including Mira Akbar, Eleni Bilev, and Quirin Hammer. His group collaborates extensively with the Center for Infectious Medicine (CIM) and has secured funding from the Swedish Cancer Society and Swedish Research Council for projects on antiviral immunity and cancer immunotherapy.

• Sensor Fusion
• Visual-Inertial SLAM
• Optical Flow
• +۷ مورد دیگر

Zoran Sjanic is an Adjunct Associate Professor at Linköping University, affiliated with the Department of Electrical Engineering (ISY), working in the field of Automatic Control. His research primarily focuses on sensor fusion, visual-inertial navigation, and robotics perception systems. His research interests include: Visual-Inertial SLAM and Odometry Dense Optical Flow using Deep Learning Multi-sensor Image-based Navigation State Estimation and Filtering Robotic Perception and Autonomous Navigation Collaborative Environment Mapping The recent publications indicate a strong trend in integrating deep learning with classical estimation frameworks for improved robustness in navigation systems, particularly in GPS-denied environments. His work bridges computer vision, control theory, and robotics. Scientific contributions include advancements in optical flow evaluation, sliding window estimation, and collaborative qualitative mapping. Notable collaborations include researchers such as Gustaf Hendeby, Martin Skoglund, and Patrick Doherty. He has not listed any formal advisees or awards in the provided material. No information about grants or advising activities is available. There is no mention of lab or research team leadership in the current text.

Björn Morénمشاهده پروفایل

استادیار

• Mathematical Optimization
• Brachytherapy Treatment Planning
• Radiotherapy
• +۷ مورد دیگر

Björn Morén is an Assistant Professor in the Department of Mathematics at Linköping University, Sweden. He is affiliated with the Division of Applied Mathematics (TIMA), where his research focuses on mathematical optimization applied to brachytherapy treatment planning in radiation oncology. His work aims to improve cancer treatment outcomes through advanced computational models that enhance precision and robustness in radiotherapy. Research Interests: His primary research lies at the intersection of applied mathematics and medical physics. He specializes in developing and analyzing mathematical optimization models for high-dose-rate (HDR) brachytherapy, particularly for prostate and cervical cancers. His work addresses critical challenges such as rotational and positional uncertainties, dwell time optimization, and automated plan validation. He seeks to bridge the gap between manual clinical planning and algorithm-driven optimization to improve dosimetric outcomes and reduce complications. Publication Trends: His recent publications (2021–2025) demonstrate a consistent focus on robust optimization techniques in brachytherapy. Themes include uncertainty mitigation, dosimetric evaluation, inverse planning, and automation in treatment workflows. His interdisciplinary work combines operations research, medical imaging, and clinical oncology, reflecting strong collaboration across physics and medicine. Scientific Awards: No awards or honors are mentioned in the provided text. Advising and Grants: There is no information available about students advised or research grants received. However, his active publication record suggests ongoing funded research and potential mentorship roles within his research group. Labs and Teams: Björn Morén is part of a multidisciplinary research group at Linköping University focused on brachytherapy treatment planning. This group collaborates on developing optimization models for clinical use, working closely with medical physicists and oncologists to translate mathematical innovations into practical healthcare solutions.

György Dánمشاهده پروفایل

استاد

• Applied Game Theory
• Critical Infrastructure Security
• Edge Computing
• +۵ مورد دیگر

György Dán is a Professor in Teletraffic Systems at KTH Royal Institute of Technology, Stockholm, Sweden. He holds a Ph.D. in Telecommunications from KTH (2006) and has extensive academic leadership roles, including Director of Third Cycle Education. His research focuses on networked systems design, with expertise in critical infrastructure security, edge computing, and cyber-physical systems. Dán has supervised over 20 PhD students and led major projects like VR DICE6G and REACT. He has authored/co-authored over 150 publications, receiving awards such as the Ericsson Research Foundation Award (2010-2014) and the 2020 KTH PhD Supervisor of the Year. Education Ph.D. in Telecommunications, KTH Royal Institute of Technology (2006) M.Sc. in Business Administration, Corvinus University of Budapest (2003) M.Sc. in Computer Engineering, Budapest University of Technology and Economics (1999) Research Interests His work spans applied game theory, smart grid security, mobile edge computing, and adversarial machine learning. Current projects include resilient edge computing systems and secure AI for cyber-physical infrastructures. Awards & Recognition Best Paper Awards at SNCNW 2025, IEEE SmartGridComm 2014, and IEEE Infocom 2008 Fulbright Visiting Scholar (University of Illinois, 2012-2013) Invited Professor at EPFL (2014-2015) Labs & Collaborations He leads the Network and Systems Engineering Division at KTH, collaborating with industries like Ericsson and ABB. His group focuses on experimental platforms like the GreenEyes testbed and stateful serverless edge computing.

Erik Elmrothمشاهده پروفایل

استاد

• Distributed Systems
• Cloud Computing
• Edge Computing
• +۳ مورد دیگر

Erik Elmroth is a Professor at the Department of Computing Science, Umeå University. He leads research in distributed systems, cloud/edge computing, and autonomous resource management, directing a 30+ member research group. His leadership includes transformative roles as department head (2009-2021) and Deputy Director at High Performance Computing Center North (HPC2N). Elmroth serves on executive committees for the SEK 6.2B Wallenberg AI program (WASP) and SEK 390M eSSENCE initiative, and leads multiple Kempe Foundation projects. Research interests center on: Autonomous control of cloud/edge infrastructures Software-defined systems and federated clouds AI-driven resource optimization High-performance computing architectures Robust machine learning for distributed environments His publications emphasize adaptive cloud systems, anomaly detection, and federated learning, with consistent focus on scalability and resilience in edge/cloud deployments. Awards and honors: Member of Royal Swedish Academy of Engineering Sciences (IVA) Nordea Scientific Prize (2011) SIAM Linear Algebra Prize (2000) National HPC Lecturer appointment He has supervised 40+ PhD students and secured major grants including the Swedish Research Council's second-largest award for the Cloud Control project. Elmroth founded the Control Workshops series and co-founded Elastisys AB, a cloud security firm with 50+ employees recognized as Umeå's Spin-off Company of the Year.

Paul Townendمشاهده پروفایل

دانشیار

• Energy-efficient distributed systems
• Sustainable computing
• Cloud computing
• +۷ مورد دیگر

Paul Townend is an Associate Professor at Umeå University , Sweden, with a Docent qualification. He leads the Green Distributed Computing group and serves as Research Leader for the Autonomous Distributed Systems (ADSLab) lab. Scientific Coordinator for Horizon Europe COGNIT Co-Manager & Scientific Advisor for WASP WARA-Ops Member of WASP Graduate School Management Team His research focuses on energy-efficient and sustainable distributed systems , with a current emphasis on Edge-Cloud integration . Additional areas include fault tolerance, provenance, data center optimization, and simulation . He has supervised 5 PhD students and 2 postdocs , with expertise in IoT, machine learning for cloud management, and microservices . Best Paper Awards at SOSE 2013 and ISORC 2012 Principal Investigator for grants totaling over $5.8M , including projects like Adaptive Monitoring of Streaming Data and Energy-Aware Cloud-Edge Management

Mats Anderssonمشاهده پروفایل

مدرس ارشد

• Manufacturing Processes
• Machining Processes
• Surface Generation
• +۴ مورد دیگر

Mats Andersson is a Senior Lecturer in Production and Materials Engineering at the Faculty of Engineering (LTH), Lund University. His research focuses on manufacturing processes, particularly machining, surface generation, and induction heating systems, with applications in CFRP processing and soft magnetic materials. Expertise aligned with UN Sustainable Development Goals: Production Engineering, Human Work Science, and Advanced Manufacturing. Recent work emphasizes numerical modeling of induction heating processes in composite materials, tool optimization in machining, and magnetic property evolution during tempering. He actively contributes to interdisciplinary research through collaborations in Sweden and internationally. Key projects include the completed dissertation-level initiative "Induction heating of carbon fibre reinforced polymer composites" (2015-2022), where he served as a supervisor.

Felix Dobslawمشاهده پروفایل

دانشیار

• Software Engineering
• Artificial Intelligence
• Education
• +۳ مورد دیگر

Felix Dobslaw is a Senior Lecturer and Associate Professor at Mid Sweden University , affiliated with the Department of Communication, Quality Technology and Information Systems (KKI). He leads the cross-disciplinary Software Engineering and Education (SEE) research group, focusing on the intersection of technology and human use in software development, with a particular emphasis on Generative AI applications.

• Thermal Spraying
• Thermal Barrier Coatings (TBCs)
• Solid Oxide Fuel Cells (SOFCs)
• +۳ مورد دیگر

Mohit Kumar Gupta is a Senior Lecturer at University West , affiliated with the Department of Engineering Science . He holds a PhD in Production Technology (2015) and serves part-time as an International Coordinator for India at the university. Research focus: Thermal Spraying of Ceramic Coatings , Suspension Plasma Spraying (SPS) for Thermal Barrier Coatings (TBCs) and Solid Oxide Fuel Cells (SOFCs) . Teaching: Advanced Production Technology (XX5797) , Finite Element Analysis (FMB300) , Heat Transfer (VFD900) , and other mechanical engineering courses. Labs: Active in the Division of Subtractive and Additive Manufacturing and Division of Mechanical Engineering , collaborating with industrial partners like GKN Aerospace and Oerlikon Metco . His work bridges thermal spray technology with computational modeling , emphasizing coating microstructure optimization and lifetime assessment for high-temperature applications.

Peter Lundbergمشاهده پروفایل

استاد مدعو

• Quantitative Magnetic Resonance Imaging (MRI, MRS, NMR)
• Hepatic Steatosis and Liver Disease (MASLD, NASLD, HCC)
• Neuroimaging (Pediatric Brain Tumors, Multiple Sclerosis)
• +۲ مورد دیگر

Peter Lundberg is an Adjunct Professor at Linköping University, affiliated with the Department of Health, Medicine and Care (HMV) and Department of Diagnostics and Specialist Medicine (DISP) . His research focuses on quantitative magnetic resonance imaging (MRI/MRS/NMR) for organ function analysis, particularly in liver disease (MASLD, HCC), neurological disorders (pediatric brain tumors, MS), and metabolic syndrome . He also works on text-based AI and federated learning applications in medical imaging. Developed non-invasive liver diagnostics replacing biopsies Co-founder of physiologically-based digital twin models for alcohol metabolism Active in MR safety standardization through ESMRMB Research Trends in recent articles include: Multi-organ interactions (liver-heart axis) Deep learning for brain tumor classification Population-level MASLD prevalence studies Advancements in MR spectroscopy for neurochemical analysis Collaborations with international societies like ISMRM and ESMRMB , and research centers including the Center for Medical Imaging and Visualization (CMIV) and Wallenberg Center for Molecular Medicine .

• Machine Learning
• Data Mining
• Graph Theory
• +۳ مورد دیگر

Sebastian Dalleiger is an Assistant Professor at the Division of Theoretical Computer Science, Kungliga Tekniska Högskolan (KTH Royal Institute of Technology). His research focuses on theoretical foundations of machine learning, data mining, and graph theory, with particular expertise in matrix factorization, pattern discovery, and hypergraph analysis. Current affiliation: KTH Royal Institute of Technology Department: Theoretical Computer Science Email: sdall@kth.se His recent work explores federated learning architectures, non-negative matrix factorization, and structural analysis of stochastic block models across multiple graphs. He develops algorithms combining proximal optimization with privacy-preserving techniques, addressing challenges in distributed data analysis. Publications demonstrate interdisciplinary applications in network science, information theory, and computational geometry. Key contributions include novel frameworks for Ollivier-Ricci curvature in hypergraphs and sequential false discovery control for pattern mining.

• Computer Networks
• Internet of Things (IoT)
• Network Security
• +۴ مورد دیگر

Markus Hidell is an Associate Professor at the Royal Institute of Technology (KTH) , specializing in computer networks, IoT systems, and network security. His teaching includes courses like Advanced Internet Technology and Security and Data Privacy on the Internet , where he serves as examiner or teacher. Research Focus : IoT architectures, energy-efficient networking, and security in distributed systems. Recent Publications : Investigate IoT scalability, buffer management algorithms, SDN security, and LTE vulnerabilities. Key Technical Areas : Network virtualization, delay-tolerant systems, and smart city infrastructure.

• Graph Mining
• Network Analysis
• Graph Representation Learning
• +۳ مورد دیگر

Yifei Jin is a WASP Industrial PhD student at KTH Royal Institute of Technology's School of Electrical Engineering and Computer Science, specifically within the Division of Theoretical Computer Science. They are supervised by Professor Aristides Gionis and Associate Professor Sarunas Girdzijauskas at KTH, and also serve as an Experienced Researcher at Ericsson Research and a Visiting Researcher at Yale University under Rex Ying and Leandros Tassiulas. Yifei's research focuses on graph mining , network analysis , and graph representation learning , particularly applied to crowdsourcing data and wireless communication systems. Their work intersects telecommunications network optimization machine learning for graph-structured data AI-driven wireless resource management edge computing and distributed AI as evidenced by their publications spanning 2017–2025. Their academic contributions include 15 recent papers exploring topics such as neural surrogates for voltage drop estimation, wireless ray-tracing models, scalable distributed AI deployment, and vehicle platooning coordination. These publications demonstrate expertise in network traffic reduction KPI conflict analysis graph convolutional networks hyperbolic embeddings for ontologies real-time network diagnostics .