جستجوی استاد راهنمای دانشگاهی

• Quantum Photonics
• Quantum Technology
• Optomechanics
• +۳ مورد دیگر

Raphaël Van Laer is an Associate Professor at Chalmers University of Technology, leading a research team in quantum photonics and quantum technologies. His work focuses on photonics, optomechanics, and quantum information processing with applications in microwave-to-optics conversion and integrated photonics. He holds a PhD from Ghent University-imec and conducted postdoctoral research at Stanford University. Affiliations: Quantum Technology division, Wallenberg Centre for Quantum Technology, and the Quantum Photonics Laboratory. Education: PhD in Silicon Photonics from Ghent University-imec (Photonics Research Group). His research explores the physical limits of information processing in constrained spaces and large-scale coherent communication systems. Key areas include lithium niobate integration, optomechanical transducers, and quantum networks. Recent Work: Recent publications highlight advancements in piezo-optomechanical transducers, entangled photon heralding, and ultrahigh-Q lithium niobate resonators. These contributions address quantum networking and scalable quantum systems. Awards: IEEE Graduate Student Scholarship (201?), VOCATIO award (201?). Grants & Support: Supported by the Wallenberg Centre for Quantum Technology, the Swedish Foundation for Strategic Research (Future Research Leader Grant), and the European Research Council (Starting Grant). Labs & Teams: Quantum Photonics Laboratory and Quantum Technology division at Chalmers, collaborating with institutions like Stanford University and imec.

• Theoretical Physics
• Surface Science
• Heterogeneous Catalysis
• +۳ مورد دیگر

Anders Hellman is a Professor at the Department of Physics, Chalmers University of Technology, Sweden. He is also affiliated with the Competence Centre for Catalysis and serves as a senior strategic advisor to the Area of Advance (AoA) Energy at Chalmers. His research focuses on theoretical physics, surface science, heterogeneous catalysis, and materials for energy applications. He holds a PhD in theoretical physics from the University of Gothenburg (2003), followed by postdoctoral studies at Haldor Topsoe A/S, DTU Denmark, and Chalmers. His research interests include computational modeling of catalytic processes, energy materials design, and first-principles analysis of reaction mechanisms. Key areas of exploration involve chemical-looping combustion, catalyst screening for ethylene epoxidation, and the development of novel oxygen carriers for energy systems. He has contributed to advancements in understanding surface phenomena, nanoparticle behavior, and the interplay between material properties and catalytic performance. Dr. Hellman’s work bridges theory and experiment, with notable contributions to methane-to-methanol conversion, hydrogen evolution reactions, and photoelectrochemical systems for water splitting. His interdisciplinary approach integrates quantum chemistry, kinetic modeling, and materials discovery to address challenges in sustainable energy and catalytic innovation.

Gonçalo Castelo-Brancoمشاهده پروفایل

استاد

• Epigenomics
• Transcriptomics
• Oligodendrocyte Biology
• +۷ مورد دیگر

Gonçalo Castelo-Branco is a Professor in the Department of Medical Biochemistry and Biophysics at Karolinska Institutet's Faculty of Medicine, where he leads an active research group focused on oligodendrocyte biology and epigenomics. His laboratory investigates the molecular mechanisms defining transcriptomic and epigenomic states of oligodendrocyte lineage cells in the central nervous system, particularly in the context of neuroinflammatory and demyelinating diseases like multiple sclerosis. His research employs state-of-the-art technologies including single-cell and spatial transcriptomics and epigenomics, CRISPR-based screens, and advanced computational approaches applied to rodent models of disease and human patient material. His team has made significant contributions to understanding oligodendrocyte heterogeneity, epigenetic regulation of myelination, and disease-specific oligodendrocyte states in multiple sclerosis. The publication analysis reveals a strong focus on developing and applying cutting-edge spatial and single-cell omics technologies to study neurodevelopment and neuroinflammatory diseases. His recent work (2022-2024) prominently features spatial epigenomics and multi-omic approaches that simultaneously profile chromatin accessibility, histone modifications, transcriptomes, and proteomes within the same tissue sections. Castelo-Branco is actively involved in several collaborative networks including KNIMS (The Karolinska Neuroimmunology & Multiple Sclerosis Network) and maintains multiple web resources for his datasets, most notably the OligoInternode interface which allows researchers to explore gene expression patterns in oligodendrocyte lineage cells. His research program receives substantial funding supporting the development of epigenetic-based therapies to induce regeneration/remyelination and prevent neuroinflammation in demyelinating diseases. The laboratory maintains strong international collaborations with institutions including Stockholm University, Yale University, and multiple European research centers.

Sindri Magnússonمشاهده پروفایل

دانشیار

• Distributed Optimization
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Sindri Magnússon is an Associate Professor and Senior Lecturer at Stockholm University's Department of Computer and Systems Sciences (DSV), part of the Data Science Research Group. He holds a B.Sc. in Mathematics from the University of Iceland (2011), a Master’s in Applied Mathematics (Optimization and Systems Theory) from KTH Royal Institute of Technology (2013), and a Ph.D. in Electrical Engineering from KTH (2017). He completed a postdoctoral fellowship at Harvard University (2018–2019) and was a visiting PhD student there in 2015–2016. His research focuses on distributed optimization, decision-making, and machine learning in cyber-physical systems and IoT. Key projects include AI-driven equitable decision-making, smart converter control for renewable energy systems, federated reinforcement learning, and sustainable data-driven algorithms. His work bridges core data science with applications in critical infrastructures, energy systems, and societal challenges. Recent articles explore multi-objective optimization for satellite scheduling, federated learning for privacy-preserving AI, and reinforcement learning in non-stationary environments. His contributions span theory and practice, addressing scalability, sustainability, and ethical AI. He is actively involved in the Data Science Research Group, which develops algorithmic methods for decision-making in smart cities and energy systems. No awards or grants are explicitly listed, but his projects suggest significant research funding and collaboration.

Ioanna Miliouمشاهده پروفایل

مدرس ارشد

• Data Science for Social Good
• Nowcasting
• Forecasting
• +۶ مورد دیگر

Ioanna Miliou is a Senior Lecturer in the Department of Computer and Systems Sciences (DSV) at Stockholm University, affiliated with the Data Science Research Group. She holds a Ph.D. in Computer Science from the University of Pisa and a diploma in Electrical and Computer Engineering from the National Technical University of Athens. Her research focuses on Data Science for Social Good, Nowcasting, and Forecasting, leveraging Big Data Analytics, Data Mining, and Machine Learning. Key applications include healthcare (e.g., sepsis prediction, glucose forecasting), public health (influenza nowcasting), and peace/sentiment analysis using global news data. She leads projects such as A3S (AI asthma app), OrganoFeed (organoid research), and MASICU (ICU mortality prediction). Teaching includes courses like Foundations of Data Science and Data Mining. She advises Ph.D. students Franco Rugolon and Lena Mondrejevski. Her work emphasizes explainable AI, federated learning for privacy, and multimodal data integration. She contributes to initiatives like the Data Science Research Group and collaborates on EU-funded projects.

Kalle Malmbergمشاهده پروفایل

استاد

• Natural Killer Cell Biology
• Immunotherapy
• Cell Therapy
• +۴ مورد دیگر

Kalle Malmberg is a Professor at the Department of Medicine, Huddinge, Karolinska Institutet , with dual affiliation to Oslo University Hospital . His research focuses on the molecular mechanisms of Natural Killer (NK) cell differentiation , KIR receptor dynamics , and HLA-E interactions in health and disease. Key translational efforts include off-the-shelf NK cell therapy platforms and clinical trials for refractory malignancies Funding sources: Cancerfonden, EU Horizon 2020, Vetenskapsrådet Research Trends : Recent publications highlight genetic engineering of NK cells to overcome immune suppression in cancer, KIR-HLA polymorphism in transplantation outcomes, and single-cell technologies for repertoire analysis. Students : Hannah Cuthbertson Husbyn, Herman Krogstad Netskar Collaborative Networks : IMTAC, Theme Center for Regenerative Medicine

• Neuroblastoma
• Rhabdomyosarcoma
• Tumor Heterogeneity
• +۷ مورد دیگر

Kasper Karlsson is a Senior Research Specialist at the Department of Oncology-Pathology, Karolinska Institutet, leading a research group focused on overcoming tumor heterogeneity in childhood cancers like neuroblastoma and rhabdomyosarcoma. He previously served as an Assistant Professor at the same department from 2021 to 2025. Employment: Senior Research Specialist (2025–present), Assistant Professor (2021–2025) Education: Medicine Doctoral degree in Medical Biochemistry and Biophysics, Karolinska Institutet (2016) His research employs cutting-edge approaches such as organoid modeling , expressed cell barcoding , single-cell sequencing , and high-throughput drug screening to develop precision strategies like Precision Lethality for targeting resistant tumor clones. Current projects include molecular radiotherapy and CRISPR/Cas9-based tumor modeling. In the last decade, Karlsson has published in top-tier journals (e.g., Nature , Cell ), focusing on cancer biology, stem cell research, and genomic analysis. His work bridges translational oncology with medical biotechnology , emphasizing tumor evolution and therapeutic resistance. Scientific Awards European Research Council Starting Grant (2023) Research Grants Swedish Research Council (2024–2027) Swedish Cancer Society (2024) Childhood Cancer Foundation (2024) European Research Council (2024–2028) As a mentor, he supervises doctoral students including Myra Almen and Cheng-De Liu. His lab collaborates with institutions like SciLifeLab and Radiumhemmet, contributing to precision medicine and cancer survival improvements.

• Breast cancer research
• Translational oncology
• Molecular analyses of tumor tissue
• +۷ مورد دیگر

Theodoros Foukakis serves as Associate Professor and Senior Physician at Karolinska Institutet's Department of Oncology-Pathology in Stockholm, Sweden. He leads the Translational Breast Cancer Research Group, a multidisciplinary team comprising clinicians, bioinformaticians, epidemiologists, biostatisticians, AI engineers, and molecular biologists. His research focuses on understanding treatment resistance mechanisms in breast cancer through molecular analyses of tumor tissue and blood samples, with the goal of developing new predictive biomarkers for treatment response. Foukakis' research interests center on translational breast cancer research, particularly in the areas of neoadjuvant therapy, treatment resistance mechanisms, and biomarker development. His work spans both HER2-positive and triple-negative breast cancer subtypes, with significant contributions to clinical trials investigating novel treatment approaches including immunotherapy combinations and antibody-drug conjugates. He has pioneered research in applying machine learning and AI techniques to analyze tumor microenvironment characteristics and optimize treatment selection based on molecular profiles. His work bridges clinical practice with cutting-edge genomic and computational approaches to personalize breast cancer treatment. Analysis of his recent publications (2024-2025) reveals a strong focus on precision oncology approaches, with particular emphasis on biomarker development, treatment response prediction, and optimizing therapeutic strategies through AI applications. His work spans clinical trials (PANTHER, KEYNOTE, ARIADNE), biomarker discovery (SAMHD1, immune microenvironment characterization), and implementation of machine learning models for treatment optimization. A significant portion of his research addresses the critical challenge of balancing treatment efficacy with minimizing toxicity through tailored approaches. Foukakis actively mentors doctoral students and postdoctoral researchers in his translational breast cancer research group. His grant portfolio includes leadership of the ARIADNE trial, a randomized phase IIB study investigating trastuzumab deruxtecan and biology-driven selection of neoadjuvant treatment for HER2-positive breast cancer. His research has been supported by multiple national and international funding sources focused on advancing precision medicine in breast cancer care. The Translational Breast Cancer Research Group led by Foukakis operates as a comprehensive research ecosystem that integrates clinical data with molecular and computational analyses. The group collaborates extensively with other research teams at Karolinska Institutet and participates in numerous international clinical trials. Their work on the ARIADNE study represents a novel approach to treatment selection based on intrinsic molecular subtypes as determined by Prosigna® analysis, potentially enabling both treatment de-escalation for some patients and escalation for others based on molecular characteristics.

• Deep Learning
• Heterogeneous Data
• Graph Neural Networks
• +۲ مورد دیگر

Nancy Xu is a doctoral student at the KTH Royal Institute of Technology , affiliated with the School of Electrical Engineering and Computer Science (EECS) and the Division of Software and Computer Systems . She is part of the WASP AI program, a major initiative funded by the Knut and Alice Wallenberg Foundation. Supervisors: Professor Michail Vazirgiannis and Professor Henrik Boström Her research focuses on advancing deep learning techniques for processing heterogeneous data , with a particular emphasis on graph neural networks (GNNs) and their applications in complex data scenarios.

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.

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

Markus Ringnérمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Biology
• Cancer Genomics
• +۵ مورد دیگر

Markus Ringnér serves as a senior bioinformatician at the National Bioinformatics Infrastructure Sweden (NBIS), which operates as the SciLifeLab Bioinformatics Platform. His position is housed within the local node at Lund University's Department of Biology. He leads bioinformatics long-term support initiatives focused on providing advanced computational support for nationally prioritized research projects, delivering national and regional training workshops, and fostering bioinformatics networking across Sweden. His research spans medical, evolutionary, ecological, and environmental genomics, with particular emphasis on neurodegenerative diseases, cancer genomics, and epigenetic mechanisms. His work integrates computational approaches with biological discovery across multiple domains: Development of bioinformatics pipelines for genomic analysis Investigation of Parkinson's disease mechanisms through mitochondrial dysfunction studies Analysis of clonal evolution in pediatric cancers Exploration of transgenerational epigenetic inheritance Analysis of his recent publications reveals a strong focus on neurodegenerative disease mechanisms (particularly Parkinson's), cancer genomics, and epigenetic regulation. His work frequently bridges computational methods with experimental validation, often involving multi-institutional collaborations across Scandinavia. The research demonstrates consistent application of bioinformatics to complex biological questions in both medical and ecological contexts. Ringnér actively contributes to academic mentoring through PhD supervision and examination. His leadership extends to national infrastructure development: Second supervisor for 5 named PhD students (2013-2018) Examiner for doctoral theses Manager of National Bioinformatics Infrastructure Sweden Coordinator for Pufendorf IAS research networks He maintains active involvement in national bioinformatics infrastructure through the Department of Biology, where he contributes to strategic development of computational resources for Swedish life science research.

Katrin Jonssonمشاهده پروفایل

دانشیار

• Digital Transformation
• Internet of Things (IoT)
• Smart Services
• +۵ مورد دیگر

Katrin Jonsson is an Associate Professor at the Department of Informatics, Umeå University and has served as Head of Department since 2018. She is a member of the Swedish Center for Digital Innovation and leads the Internet of Things Research Group . Academic Focus: Digital transformation, IoT, smart services, remote diagnostics, and sociomateriality. Leadership: Oversees personnel, finances, and quality initiatives at the department level. Editorial Roles: Editor-in-Chief of the Scandinavian Journal of Information Systems since 2022. Her research examines how digitalized products reshape industrial and public sector practices, with a focus on sensor-driven smart services and institutional dynamics. Scientific Awards: AIS Senior Scholars Award for Best IS Journal Paper (2009) Paper of the Year Award in Information & Organisation Best Paper Award at IRIS 27 Conference She has managed numerous projects on IoT adoption in municipalities and industry, contributing to journals such as European Journal of Information Systems and Journal of Information Technology .

Mikael Altunمشاهده پروفایل

پژوهشگر

• Ubiquitin-Proteasome System
• Targeted Protein Degradation
• Drug Development
• +۷ مورد دیگر

Mikael Altun is a Researcher and Docent at the Karolinska Institutet's Department of Laboratory Medicine , where he has worked since 2018. He leads research at Science for Life Laboratory (SciLifeLab) , focusing on the ubiquitin-proteasome system (UPS) and its translational applications in cancer and muscle diseases. Education: Doctor of Philosophy in Neuroscience (Karolinska Institutet, 2007) Master of Medical Science (Karolinska Institutet, 2003) Docent in Medical Biotechnology (Karolinska Institutet, 2020) His research explores targeted protein degradation using PROTACs and molecular glue degraders to address 'untreatable' proteins in diseases. This work intersects with drug development , ubiquitination , and proteasome function , with applications in oncology and neurodegenerative disorders. Recent publications highlight his expertise in skeletal muscle aging , UPS-related cancer therapies , and chemical probe development . Collaborations with Nicholas Valerie and others focus on biophysical technologies for cellular studies. Scientific Awards: Acknowledged support from the Hållsten family for foundational lab funding Altun supervises PhD candidates and contributes to thesis evaluations at institutions like Uppsala University and Linköping University. His work bridges basic cellular mechanisms and translational applications , emphasizing innovative therapeutic strategies.

• Cancer and Oncology
• Cell and Molecular Biology
• Dermatology
• +۸ مورد دیگر

Yizhou Hu is a Principal Researcher at the Department of Laboratory Medicine, Karolinska Institutet, Sweden, and holds a concurrent position as University Researcher at the Faculty of Medicine, University of Helsinki & Wihuri Institute, Finland. With extensive expertise in single-cell analysis and computational biology, Hu leads cutting-edge research at the intersection of cancer biology, neuroscience, and dermatology. Dr. Hu's educational background includes a Ph.D. in Pathology (Oncology and Molecular Cell Biology) from the University of Helsinki (2017) and an M.Sc. in Genetics from the same institution (2011). Additional training includes postdoctoral research at Karolinska Institutet's Division of Molecular Neurobiology (2017-2022) supported by an SSMF fellowship. Research interests center on two major themes: Developmental Plasticity in Nervous System Cancers focusing on glioblastoma and neuroblastoma mechanisms, and Immune Priming of Non-Immune Cells in Psoriatic Skin . Hu employs advanced methodologies including single-cell MultiOmics, spatial transcriptomics, deep-learning analytics (scCAMEL), human organoids, and genetically modified animal models to investigate cellular heterogeneity and disease mechanisms. The publication record demonstrates consistent high-impact contributions across cancer biology, neuroscience, and dermatology. Recent work (2023-2025) shows increasing integration of machine learning with multi-omics approaches, particularly in neuroblastoma developmental plasticity, pain pathway characterization, and psoriasis inflammation mechanisms. The research spans basic science to translational applications with strong emphasis on cellular heterogeneity. Scientific recognition includes: SSMF fellowship (2020-2022) Dr. Hu has developed innovative computational tools including the scCAMEL suite (scCAMEL-SWAPLINE, scCAMEL-VICUNA, scCAMEL-EVO) for single-cell analysis, with publicly available datasets and visualization platforms for psoriasis research. Current work focuses on identifying cellular and molecular mechanisms driving high-risk neuroblastoma and glioblastoma, with emphasis on developmental trajectories that could inform targeted therapeutic approaches. The research program maintains strong collaborative networks across Karolinska Institutet, University of Helsinki, and international institutions, with particular emphasis on neural crest-derived cancer lineages and skin immunology mechanisms.