جست‌وجوی استاد و پژوهشگر

Nathan Reynoldsمشاهده پروفایل

پژوهشگر ارشد

• Vision Research
• Neuroscience
• Immunology
• +۳ مورد دیگر

Nathan Reynolds serves as a Research Fellow at the John Curtin School of Medical Research (JCSMR), Australian National University. He is actively affiliated with The Natoli Group's Clear Vision Research Lab, contributing to the school's mission of advancing translational medical research across multiple disciplines. His research spans critical medical fields including: Vision Research (primary focus through Clear Vision Lab) Neuroscience (particularly vision-related neural mechanisms) Immunology (as part of JCSMR's core research pillars) Cancer biology Genomic analysis Infectious disease mechanisms Dr Reynolds' work aligns with JCSMR's strategic focus on transforming healthcare through multidisciplinary approaches to complex diseases such as vision impairment, cancer, and metabolic disorders. His research integrates laboratory investigations with clinical applications to address unmet medical needs. No scientific awards or honors are documented in the available institutional records. His current research activities center on the Clear Vision Research Lab under The Natoli Group, where he collaborates on advanced immunophenotyping and spectral flow cytometry methodologies to investigate lymphocyte and monocyte subsets in health and disease.

Patrick Grayمشاهده پروفایل

عضو هیئت علمی

• Biological Oceanography
• Marine Ecology
• Ocean Optics
• +۵ مورد دیگر

Patrick Gray is an Assistant Research Professor at the University of Maine's School of Marine Sciences, specializing in biological oceanography and marine ecology across scales from viruses to whales. His research integrates seagoing observations, satellite remote sensing, and computational analysis with a strong emphasis on ocean optics and machine learning applications. His research interests focus on biological oceanography within Earth system science, particularly marine biophysical interactions, ocean color analysis, and polarized scattering to characterize marine particles. Gray investigates submesoscale features at ocean fronts like the Gulf Stream, studies marine patchiness across trophic levels, and explores optical biosignatures relevant to ocean worlds including Enceladus and Europa. His work bridges observational oceanography with computational methods for parsing large datasets. His publications demonstrate expertise in drone-based ocean color measurements, machine learning applications in remote sensing, and biophysical interactions at ocean fronts. Key themes include robust ocean color retrieval from aerial platforms, emergent patterns of oceanic patchiness, and the intersection of marine optics with planetary science analogs. Zuckerman Postdoctoral Fellow Future Investigator in NASA Earth and Space Science and Technology (FINESST) Morehead-Cain Scholar Gray leads field expeditions including the Tara Europa Expedition (2024) and Gulf Stream research cruises, working closely with the MISC Lab at UMaine. His technical expertise spans drone operations, optical instrumentation, and computational analysis of complex oceanographic datasets.

• Dielectric Spectroscopy
• Recycling of Electronic Waste
• Liquid Crystal Characterization
• +۵ مورد دیگر

Pierre-Alexandre Hébert is an Associate Professor at the University of the Littoral Opal Coast. His research spans interdisciplinary domains including dielectric material analysis , electronic waste recycling , and machine learning applications for environmental monitoring. Key research focus: Liquid Crystal recycling from E-waste using dielectric spectroscopy Contributions to phytoplankton detection via automated systems and clustering algorithms Collaborations across France, Turkey, Italy, and Ireland His recent publications (2021-2023) emphasize sustainable materials processing, particularly dielectric characterization of recycled liquid crystals for circular economy applications. Earlier work (2008-2018) showcases expertise in image processing , phytoplankton classification , and data clustering techniques. Collaborative projects include: JERICO NEXT (2018), ISyDMA'6 (2021), and SFGP (2022) conferences. Current affiliations involve laboratories at Université du Littoral Côte d’Opale (ULCO) and Université d’Artois (UA).

• Immunology
• Molecular Biology
• Signal Transduction
• +۵ مورد دیگر

Jon Houtman, PhD is a Professor of Microbiology and Immunology at the University of Iowa. He also holds a secondary appointment as Professor of Internal Medicine - Immunology. Dr. Houtman serves as Vice-Chair in the Department of Microbiology and Immunology and Associate Director for Career Enhancement at the Holden Comprehensive Cancer Center. Education: BA in Biology and Chemistry, University of Minnesota, Morris PhD in Cellular and Molecular Biology, University of Wisconsin-Madison Postdoctoral Fellow in Molecular Immunology, National Cancer Institute/NIH/DHHS Dr. Houtman's research focuses on T cell activation mechanisms through the T cell receptor (TCR), particularly examining LAT signaling complex formation and GRB2 regulation. His lab also investigates glycerol monolaurate (GML) as an immunomodulatory agent with potential applications in autoimmune diseases and cancer. The lab's work on GML explores its effects on membrane complex disruption, mitochondrial suppression, and metabolic flux in T cells. Ongoing projects include characterizing GRB2's role in LAT oligomerization and developing GML derivatives with improved pharmacological properties. Research spans immunology, molecular biology, and translational applications in cancer and cardiovascular diseases. Labs and Teams: Human Immunology Core (Faculty Director) Affiliated with Holden Comprehensive Cancer Center Center for Immunology and Immune-based Diseases Institute for Clinical and Translational Science

Ji Yiمشاهده پروفایل

دانشیار

• Optical Imaging
• Biomedical Engineering
• Medical Imaging
• +۳ مورد دیگر

Ji Yi is an Associate Professor in the Department of Biomedical Engineering at Johns Hopkins University and holds a joint appointment at the Wilmer Eye Institute. His research focuses on developing advanced optical imaging and microscopy techniques, particularly in the fields of biomedical optics and retinal imaging. He earned his PhD from Northwestern University and has a strong background in biophotonics and medical imaging device innovation. Affiliations: Johns Hopkins University (Whiting School of Engineering), Wilmer Eye Institute, Kavli Neuroscience Discovery Institute Education: BS in Biomedical Engineering, Tsinghua University, 2005 MS in Biomedical Engineering, Northwestern University, 2009 PhD in Biomedical Engineering, Northwestern University, 2012 Research Interests: Dr. Yi specializes in designing novel optical microscopy systems for high-resolution 3D imaging of biological structures, with a focus on retinal imaging to study vascular dysfunction and neurovascular coupling. His work leverages technologies like optical coherence tomography (OCT), light sheet microscopy, and oblique scanning techniques to visualize tissues in real-time. He also explores applications in ophthalmology, cancer diagnostics, and wound healing through interdisciplinary approaches. Publications: Over 80 peer-reviewed articles, including work on retinal oximetry, volumetric imaging, and scattering-based microscopy techniques. Labs/Teams: Yi Lab at Johns Hopkins, focusing on biomedical imaging innovations with a particular emphasis on retinal and neural imaging applications.

• Autoimmunity and Inflammation
• Immunology in the Medical Area
• Rheumatology
• +۳ مورد دیگر

Professor Vivianne Malmström is a leading researcher in autoimmune and inflammatory diseases at Karolinska Institutet's Department of Medicine, Solna. She leads the Autoimmunity and Adaptive Immunity in Rheumatic Disease research group, focusing on T and B cell-mediated mechanisms in rheumatoid arthritis (RA), ANCA-associated vasculitis, and other autoimmune conditions. Her work integrates clinical samples with advanced immunological techniques to identify therapeutic targets beyond general immunosuppression. Education: Docent in Medical Science at Karolinska Institutet (2006). Research emphasizes adaptive immunity, particularly autoantibody and T-cell dynamics in rheumatic diseases. Collaborations include the RTCure consortium and clinical teams at Karolinska University Hospital. Research Interests: Autoimmune mechanisms in RA, vasculitis, and myositis B and T cell profiling using flow cytometry, single-cell sequencing, and spectral analysis Development of antigen-specific therapies targeting disease-driving immune cells Early disease detection and prevention strategies Publications (2025 focus): Highlight recent findings on B-cell dysregulation in RA-associated lymphomas, cytokine profiles in myositis, and JAK inhibitor effects on B-cell function. These studies underscore immune profiling's role in understanding disease progression. Grants & Awards: Not explicitly listed, but active in major research programs like IMI-RTCure. Advises multiple PhD students and postdocs in immunology and rheumatology. Labs/Teams: Directs a multidisciplinary team using cutting-edge methods to bridge clinical samples and mechanistic immunology. Key collaborations include divisions led by Lars Klareskog, Iva Gunnarsson, and Caroline Grönwall. Future Work: Aims to translate immune profiling into personalized therapies, focusing on antigen-specific approaches and early intervention strategies for rheumatic diseases.

Farhan Syedمشاهده پروفایل

پژوهشگر

• Immunology
• Cancer Research
• Genomics
• +۳ مورد دیگر

Dr. Farhan Syed is a researcher at the John Curtin School of Medical Research (JCSMR) within the Australian National University (ANU) . He leads the Irradiation Immunity Interaction Laboratory (I-Cube Lab) , focusing on multidisciplinary translational medical research in immunology, cancer, genomics, neuroscience, infectious diseases, and metabolic disorders. Institution: Australian National University School: John Curtin School of Medical Research Role: Leader, I-Cube Lab JCSMR excels in advancing healthcare through research on diseases like cancer, diabetes, rheumatoid arthritis, epilepsy, and vision impairment. Dr. Syed contributes to these efforts via spectral flow cytometry and other cutting-edge methodologies.

• Wireless Sensor Networks
• Internet of Things (IoT)
• 6G Communication Systems
• +۳ مورد دیگر

Yannick Le Moullec is a researcher affiliated with Tallinn University of Technology, specializing in wireless communication technologies, Internet of Things (IoT), and 6G network optimization. His work focuses on energy-efficient systems, device-to-device communication, UAV swarms, and hybrid machine learning models for microfluidic imaging. He has contributed to NB-IoT, RIS-based communication, and federated learning frameworks. Education : Not explicitly mentioned Research Trends : His recent publications emphasize 6G networks, device-to-device discovery, UAV coordination, and edge computing. He explores synergies between reinforcement learning and stochastic resource allocation. Grant Activity : No specific grants listed Labs & Collaborations : Collaborates with teams across Estonia, France, and international institutions on IoT and embedded systems, particularly in healthcare and emergency communication contexts.

Zachary Schultzمشاهده پروفایل

استاد

• Analytical Chemistry
• Biomedical Diagnostics
• Metabolomics
• +۷ مورد دیگر

Zachary D. Schultz is a Professor and Vice Chair of Graduate Studies in the Department of Chemistry and Biochemistry at The Ohio State University. His research focuses on developing advanced chemical measurement tools, particularly using surface-enhanced Raman spectroscopy (SERS) for biomedical diagnostics and environmental analysis. He earned his B.S. from The Ohio State University (2000) and Ph.D. from the University of Illinois at Urbana-Champaign (2005). Postdoctoral training included roles at the National Institute of Standards and Technology (NIST) and the National Institutes of Health (NIH). His research lab integrates nanotechnology, spectroscopy, and machine learning to address challenges in metabolomics, protein receptor signaling, and plasmonics. Key projects include sheath-flow SERS for high-throughput metabolite detection, TERS-based imaging of cell membrane receptors, and plasmonic photocatalysis for CO₂ reduction. The lab also develops novel instrumentation, such as Raman microscopes and nanoprobes, to enhance chemical imaging resolution and sensitivity. Notable achievements include the Craver Award (Coblentz Society), Cottrell Scholar distinction, and AAAS Fellowship. Collaborations span disciplines, including biomedical engineering, environmental science, and materials chemistry. His work has led to over 150 peer-reviewed publications and multiple patents. The lab actively engages in training students and postdocs, fostering innovation in analytical chemistry and nanotechnology. Current research trends emphasize interdisciplinary approaches, leveraging SERS for real-time diagnostics, environmental monitoring, and fundamental studies of plasmonic interactions. Recent publications highlight advancements in super-resolution imaging, machine learning-driven data analysis, and applications in cancer cell detection and fibromyalgia biomarker identification.

Sebastian Baaschمشاهده پروفایل

پژوهشگر ارشد

• Immunology
• Virology
• Host-Pathogen Interactions
• +۳ مورد دیگر

Sebastian Baasch is an Internal Junior Fellow at the University of Freiburg (October 2023 – July 2024), affiliated with the Faculty of Medicine and Department of Immunology. His research investigates how cytomegalovirus (CMV) establishes lifelong asymptomatic infections while causing disease in immunodeficient patients, using tools like host-pathogen fate mapping, spectral flow cytometry, and next-generation sequencing. Education: Veterinary Medicine studies at University of Leipzig PhD at Institute for Immunodeficiency (Freiburg, 2016-2021), focusing on innate immune responses to CMV Research Interests: Mechanisms of CMV persistence, immune evasion strategies, and long-term health impacts of CMV infections. His work bridges basic immunology and clinical implications, particularly in immunocompromised populations. Awards: Fritz-Rupert-Ungemach Thesis Prize (2021) Otto-Westphal Thesis Prize (2021) Professional Activities: Guest lecturer on antiviral immunity at Leipzig’s Faculty of Veterinary Medicine. Fellow of the Hans A. Krebs Medical Scientist Programme (2022-2024). Active in interdisciplinary collaborations at the University Medical Center Freiburg.

• Cultural Heritage
• Document Analysis
• Medical Data Analysis
• +۵ مورد دیگر

Florian Kleber is a senior scientist at the Computer Vision Lab within the Institute of Visual Computing and Human-Centered Technology at Vienna University of Technology (TU Wien), Austria. His research spans two primary domains: document analysis for cultural heritage preservation and medical data analysis. He has been actively involved in lecturing at TU Wien, particularly in Document Analysis courses, and has served as a substitute member of the Curriculum Commission for Informatics. Dr. Kleber's research focuses on the intersection of computer vision and practical applications. His work in cultural heritage includes multi-spectral acquisition and restoration of ancient manuscripts, development of tools for historical document analysis, and work on writer identification and retrieval systems. In medical data analysis, he has specialized in flow cytometry analysis, particularly for minimal residual disease assessment in acute lymphoblastic leukemia. His research demonstrates a consistent pattern of applying advanced computer vision techniques to solve domain-specific challenges in both humanities and medical fields. His recent publications reveal a strong trend toward synthetic data generation for training document analysis systems, self-supervised learning approaches for writer retrieval, and explainable AI techniques for medical data analysis. The publications show increasing sophistication in transformer-based architectures applied to both document analysis and medical imaging domains. His work bridges theoretical computer vision advances with practical applications in cultural heritage institutions and medical settings. Dr. Kleber has supervised multiple diploma theses at TU Wien, including work on automated analysis of herbarium collections, transparency techniques for neural networks, synthetic data for document analysis, and physical layout analysis of newspaper images. He has been involved in numerous research projects including the Vienna City Library poster collection analysis, digitization of museum holdings in Lower Austria, and the AutoFlow project for medical data analysis. His laboratory work centers around the Computer Vision Lab (E193-01) at TU Wien, where he collaborates on projects involving document image analysis, cultural heritage preservation, and medical data processing. His team has developed tools for manuscript analysis, document reconstruction, and flow cytometry data interpretation, often in collaboration with cultural institutions and medical facilities.

Demetra Rakosyمشاهده پروفایل

پژوهشگر

• Plant-Pollinator Interactions
• Pollination Ecology
• Floral Trait Evolution
• +۷ مورد دیگر

Dr. Demetra Rakosy is a Postdoctoral Researcher in the Spatial Interaction Ecology (SIE) group at the Helmholtz Centre for Environmental Research (UFZ) and the German Centre for Integrative Biodiversity Research (iDiv), Leipzig. She is affiliated with the Department of Community Ecology and focuses on plant-pollinator interactions, particularly along anthropogenic and natural gradients in Central and Eastern Europe. Her work integrates ecological networks, functional diversity, and conservation biology. PhD, University of Vienna (2012–2017) Master’s, University of Vienna and Babeș-Bolyai University, Cluj-Napoca Her research spans pollination ecology , floral trait evolution , and species interaction networks , with a focus on deceptive orchids such as Ophrys , Neotinea , and Traunsteinera . She investigates how visual and olfactory cues shape pollinator behavior and reproductive success. Her recent publications emphasize network analysis, pollen identification via deep learning, and the conservation of pollination systems in human-modified landscapes. Dr. Rakosy has co-mentored several early-career researchers and contributed to teaching and summer schools in pollination ecology. Her work is presented at major ecological conferences, and she actively participates in science outreach, including exhibitions at the Leipzig Botanical Garden. Her collaborative research spans Germany, Romania, Austria, Poland, and the Czech Republic. Pollination Networks and Biodiversity Conservation Floral Signal Evolution in Deceptive Orchids Spatial and Temporal Dynamics of Plant-Pollinator Interactions She has received support from DAAD, WTZ Czech Republic, and the Natural Science Society for Carinthia. Her recent work integrates advanced imaging and machine learning for ecological monitoring. Co-mentorship of PhD, Master’s, and intern students since 2018 Guest lecturer at Babeș-Bolyai University (2017–2018) Tutor at University of Vienna (2010–2012) Dr. Rakosy is involved in the GLIMPSE PhD cohort and contributes to interdisciplinary projects linking biodiversity, land use, and environmental policy. Her research aims to inform conservation strategies in under-studied regions of Eastern Europe, particularly regarding overgrazing impacts on grassland ecosystems.

Emil Alstrup Jensenمشاهده پروفایل

پژوهشگر

• Raman Spectroscopy
• Flow Cytometry
• Biomedical Engineering
• +۴ مورد دیگر

Emil Alstrup Jensen is a PhD student at the Department of Applied Mathematics and Computer Science , Technical University of Denmark. His research focuses on integrating Raman spectroscopy , machine learning , and microfluidic platforms for biomedical applications, including blood typing and flow cytometry innovations. Current projects include Raman spectroscopy and Multi-Modal Machine Learning Models (2024–2027), supervised by L. K. H. Clemmensen, A. Kristensen, and L. E. Pedersen. Collaborations span microfluidics , biomedical engineering , and applied data analysis . His publications highlight advancements in high-throughput Raman spectroscopy , label-free blood analysis , and viscoelastic fluid-based cytometry , often utilizing optical fiber coupling and particle suspension dynamics to improve diagnostic accuracy and efficiency. Project details: Raman spectroscopy and Multi-Modal Machine Learning Models (Active PhD project, 2024–2027) Supervisors: Lars Kai Hansen (Main Supervisor) Anders Kristensen Lars Erik Pedersen Research trends: Combining Raman spectroscopy with artificial intelligence for clinical diagnostics Designing microfluidic platforms for capillary flow cytometry using viscoelastic fluids Optimizing non-transparent solution analysis via flow cell engineering Contact: ealje@dtu.dk

• Stem Cell Biology
• Developmental Biology
• Muscle Regeneration
• +۶ مورد دیگر

Maurilio Sampaolesi is a full professor at the Faculty of Medicine , KU Leuven, affiliated with the Department of Development and Regeneration and leading the Stem Cell and Developmental Biology unit. His work bridges basic research and translational applications in regenerative medicine. Research focuses on stem cell biology , muscle regeneration , and cardiac therapy . Key projects include exploring extracellular vesicles for muscle repair, iPSC-derived models for cystinosis, and paracrine therapy for heart disease. His studies span cancer biology (e.g., rhabdomyosarcoma) and aging-related disorders . Recent publications and projects highlight expertise in gene circuits , secretome engineering , and 3D spatial omics . He contributes to translational grants as promotor or co-promotor, including AmnioSMART (ERA4Health-funded) and cystinosis research initiatives. As a member of academic councils and committees, he drives research strategy in developmental biology and regenerative medicine . His teaching includes courses like Advances in Stem Cell Biology (E0E36A) and Hot Topics in Stem Cell Biology (E0E37A).

• Stem Cell Biology
• Developmental Biology
• Cancer Research
• +۶ مورد دیگر

Frederic Lluis Vinas serves as an Associate Professor in the Department of Development and Regeneration at KU Leuven's Faculty of Medicine. He actively contributes to academic governance as a member of the Biomedical Sciences Doctoral School Committee, Council of the Faculty of Medicine, and Council of the Department of Development and Regeneration, driving research and educational initiatives in biomedical sciences. His research centers on Stem Cell Biology and Developmental Biology , with critical focus on Wnt/β-catenin signaling, stem cell cycle regulation, somatic cell reprogramming, and cancer dormancy mechanisms. He investigates how these pathways govern therapy resistance in triple-negative breast cancer and lineage segregation during human embryogenesis, bridging fundamental developmental processes with oncological applications to uncover cellular quiescence and regenerative mechanisms. Analysis of his 2025 publications reveals dominant themes in Wnt-mediated diapause-like states in cancer therapy resistance and pluripotency regulation in embryonic stem cells. His work integrates advanced 3D ex-vivo models, single-cell profiling, and flow cytometry to dissect molecular mechanisms in breast cancer persistence and early human development, highlighting translational potential for overcoming chemotherapy resistance. Dr. Lluis Vinas mentors PhD students Ellaithy Y., El Laithy Y., and Izuel Idoype T. on Wnt signaling in breast cancer dormancy, iPSC hepatic maturation, and embryonic development. He leads major projects including 'Studying the mechanisms of therapy resistance in breast cancer' (2024-2028) and 'Mechanisms of cell cycle control in early embryonic development' (2024-2028), while co-promoting core facility advancements in flow cytometry and IsoPlexis single-cell technologies. Based in the Stem Cell and Developmental Biology unit (ON4 Herestraat 49, Leuven), he leverages KU Leuven's Flow Cytometry core facility and spectral flow cytometry for high-dimensional cellular analysis. The unit specializes in modeling cancer dormancy and embryonic lineage decisions, utilizing cutting-edge single-cell functional profiling to drive innovations in regeneration and oncology research.