جست‌وجوی استاد و پژوهشگر

• Digital Health
• Biomedical Engineering
• Cardiovascular Medicine
• +۳ مورد دیگر

Dr. Steve Steinhubl is a Professor in the Department of Biomedical Engineering at Purdue University's College of Engineering. He previously served as the Director of Digital Medicine at the Scripps Research Translational Institute. His research focuses on the implementation science of digital health technologies, particularly in cardiovascular medicine and physiological monitoring. Education: MD from St. Louis University Expertise: Digital health, wearable biosensors, AI in cardiology Dr. Steinhubl's work explores the integration of wearable devices, machine learning, and remote monitoring for early detection of conditions like atrial fibrillation, vaccine response analysis, and autonomic profiling in genetic disorders. His research spans infectious disease surveillance, cardiovascular diagnostics, and digital clinical trial design. His recent publications highlight trends in AI-driven ECG analysis, radiation-free anemia detection via smartphone imaging, and space physiology monitoring for cognitive decline prediction. He has pioneered studies on digital twin technology for personalized vaccine reactogenicity biomarkers and remote monitoring applications in global health. Dr. Steinhubl has led innovative trials such as the Heartline Study and mSToPS, focusing on decentralized recruitment and long-term participant engagement. His projects include wearable-based decompensation indices for post-discharge heart failure care and smartphone conjunctiva applications for malaria risk stratification.

Slavica Jonicمشاهده پروفایل

عضو هیئت علمی

• Cryo-Electron Microscopy
• Biomedical Signal Processing
• Artificial Intelligence
• +۴ مورد دیگر

Slavica Jonic is a Research Director at CNRS, affiliated with Sorbonne University at the Institute of Mineralogy, Materials Physics, and Cosmochemistry (IMPMC-UMR 7590) in Paris, France. She obtained her PhD in Image Processing from EPFL (Switzerland) in 2003 and a Research Director Habilitation from UPMC (France) in 2015. She leads the 'Image analysis for biomolecular structural and dynamics studies' subgroup under the BiBiP team and co-leads the IMPMC transversal axis on 'Theory, Artificial Intelligence, Big Data.' Her research focuses on developing algorithms that integrate image analysis , molecular mechanics simulation , and artificial intelligence to explore conformational dynamics of biomolecules via in vitro and in situ cryo-EM and cryo-ET. Key software contributions include ContinuousFlex , HEMNMA , StructMap , MDTOMO , and MDSPACE , which are used to study complexes like nucleosomes, ribosomes, SARS-CoV-2 spike, and ATPase p97. Her work is supported by ANR , CNRS , Sorbonne University , and GENCI . She mentors PhD students and Master interns and serves on editorial boards for journals like BMC Methods and Frontiers in Molecular Biosciences . She also organizes workshops on cryo-EM and AI.

• Cell Biology
• Immunology
• Biochemistry
• +۵ مورد دیگر

Dr. Richard Wubbolts is an Assistant Professor at Utrecht University's Faculty of Veterinary Medicine, Department of Biomolecular Health Sciences. He leads research in Cell Biology, Metabolism & Cancer and manages the Center for Cell Imaging (CCI). His academic journey includes a PhD from Leiden University (1993-1999) and postdoctoral work at the Netherlands Cancer Institute and UMC Utrecht. Research interests focus on: Molecular mechanisms of antigen presentation via MHC class II Dynamics of extracellular vesicles in immune regulation Fluorescence microscopy applications in cellular biology Host-pathogen interactions and viral entry mechanisms Lipid droplet formation and intracellular trafficking His publications primarily explore virology (35%), immunology (30%), and cellular trafficking (25%), with emerging work in organoid models and mucosal immunity. Recent articles demonstrate increased focus on SARS-CoV-2 mechanisms and extracellular vesicle biology. Scientific Awards: NWO-VENI scholarship (2003-2006) for live imaging of protein sorting As manager of the Center for Cell Imaging, he coordinates advanced microscopy resources and trains researchers in fluorescence techniques. Current work involves collaborative projects on extracellular vesicle functions in infection and immunity.

• Virology
• Structural Biology
• Cryo-Electron Microscopy
• +۴ مورد دیگر

Daniel Hurdiss serves as an Assistant Professor and NWO Veni laureate at the Faculty of Veterinary Medicine , Utrecht University , Netherlands. His research focuses on virology and structural biology , particularly using cryo-electron microscopy to analyze viral protein structures and functions. He is affiliated with the Infectious Diseases & Immunology division, where he investigates mechanisms of viral entry, replication, and immune evasion to identify targets for antiviral therapies. PhD in Structural Biology (2018), University of Leeds BSc Microbiology (2014), University of Leeds His work integrates biochemical experiments with structural analysis to uncover how viruses invade and manipulate host cells. Recent studies include: Structural characterization of SARS-CoV-2 spike protein interactions Mechanistic analysis of enterovirus 2C protein inhibition Design of broad-spectrum antiviral peptides and antibodies From 2025 publications, trends include: Engineering multispecific inhibitors for sarbecoviruses Developing nanobody-based therapies for cross-protection Mapping cryptic epitopes in zoonotic coronaviruses Scientific awards and grants: Beijerinck Premium (2023) for early-career virology NWO Veni Grant (2021) for enterovirus research Marie Sklodowska-Curie Fellow (2019-2021) EMBO Long-Term Fellow (2019-2021) He collaborates extensively on cross-neutralizing antibodies , antiviral drug development , and viral structural dynamics , with grants for projects like "Unraveling enterovirus 2C functions" and "Corona Accelerated R&D in Europe."

Hongjun Songمشاهده پروفایل

استاد

• Neural Stem Cell Regulation
• Adult Hippocampal Neurogenesis
• Neuroepigenetics
• +۵ مورد دیگر

Hongjun Song serves as Perelman Professor of Neuroscience at the University of Pennsylvania's Perelman School of Medicine within the Department of Neuroscience. His laboratory maintains dual appointments with the Department of Neuroscience and is affiliated with multiple graduate groups including Biochemistry and Molecular Biophysics, Cell and Molecular Biology, and Neuroscience. Research Expertise: Dr. Song's laboratory investigates two core areas: (1) neural stem cell regulation and neurogenesis in developing and adult mammalian brains, and (2) epigenetic and epitranscriptomic mechanisms in the nervous system. His work explores how dysfunction in these processes contributes to brain disorders. Key methodologies include single-cell genetic approaches, high-throughput sequencing (RNA-seq, ChIP-seq, Bisulfite-seq, ATAC-seq), and single-cell RNA-seq bioinformatics pipelines. Publication Trends: Recent work (2024-2025) demonstrates expansion into organoid modeling of neurodevelopmental disorders, glioblastoma, and Alzheimer's disease, with emphasis on epitranscriptomic regulation (m6A methylation), cross-species neurogenesis comparisons, and therapeutic targeting of epigenetic mechanisms. His publications consistently bridge molecular mechanisms with circuit-level functional outcomes. Landis Award for Outstanding Mentorship (2022) - Recognized for purposeful, individualized mentoring extending beyond science to trainees' personal lives National Academy of Medicine (2020) - Elected for contributions to neuroscience AAAS Fellow (2022) - Elected alongside seven other Penn faculty Mentoring Impact: Dr. Song's laboratory has trained over 50 researchers including 30+ PhD students and postdocs, many now leading independent labs at institutions like UCSF, Mount Sinai, and KAIST. His mentoring philosophy emphasizes helping trainees develop independent research projects they can own, with lab culture fostering collaboration across diverse backgrounds while maintaining scientific rigor. Trainees credit him with supporting career paths aligned with individual interests and skills. Research Infrastructure: The lab maintains cutting-edge capabilities in single-cell analysis, neural organoid modeling, and epigenetic/epitranscriptomic profiling, with recent focus on human-specific neurogenic mechanisms and therapeutic applications for brain disorders.

Tobias Ullmannمشاهده پروفایل

استاد

• Remote Sensing
• Earth Observation
• Climate Change Impact Analysis
• +۶ مورد دیگر

Prof. Dr. Tobias Ullmann has served as Full University Professor (W2) for Remote Sensing in Geography at the Department of Remote Sensing, University of Würzburg since October 2022. His research integrates Earth observation archives with physical geographic investigations, focusing on polar, semiarid, and arid regions using SAR data, multispectral optical satellite imagery, and digital terrain models. Key projects include climate change impact assessment, interdisciplinary cooperation with biology/ecology fields, and UAV-based environmental data collection. PhD from University of Würzburg (2011-2015) Habilitation at University of Würzburg (2021) Research interests span: Multi-sensor approaches for tropical climate-landscape interactions (Pol)(In)SAR classification/change detection techniques Periglacial dynamics in alpine/polar regions Machine learning and cloud processing applications Recent publications highlight: 2025 work on landscape-scale SAR phenology analysis 2024 NDVI time series for East African crop systems 2023 Arctic snowmelt and wildfire modeling Current affiliations: Chair of Remote Sensing, University of Würzburg Earth Observation Research Cluster Faculty of Philosophy, Institute of Geography and Geology

• Multimedia Signal Processing
• Biomedical Signal Processing
• Telecommunications
• +۴ مورد دیگر

John Soraghan is a Visiting Professor at the Department of Electronic and Electrical Engineering, University of Strathclyde. His research spans interdisciplinary domains in signal processing, biomedical engineering, and synthetic aperture radar (SAR) systems. Active in neuromorphic computing and spiking neural networks Led projects funded by EPSRC and Air Force Office of Scientific Research Research Focus: • Video coding and wavelet transforms for multimedia • Non-linear adaptive signal processing in biomedical and telecom applications • SAR signal analysis and parallel processing algorithms Scientific Contributions: • Pioneering work in radar-based physiological signal detection • Development of machine learning techniques for SAR image processing Best Paper Award (2022) for neural network applications Texas Instruments Chair in Signal Processing (2004) Collaborative Impact: Active in 29 research projects including neuromorphic computing initiatives and DTP programs. His work contributes to UN Sustainable Development Goals through medical technology advancements.

• Virology
• Molecular Biology
• HIV Research
• +۵ مورد دیگر

Francesca Di Nunzio, PhD , is a Group Leader at the Institut Pasteur in Paris, France, since 2018. She previously held a Researcher position (2014-2017) and has been a Visiting Scientist at institutions in Montevideo, Uruguay (2015) and New York, USA (2011). Her work focuses on HIV-1 nuclear entry, integration, and the role of membraneless organelles in viral replication. Education: HDR (2017, Université Paris Diderot 7-Sorbonne); PhD in Medical Biotechnology (2006, University of Verona & San Raffaele Institute); Laurea (2001, University Federico II of Naples) Research Interests revolve around: HIV-1 replication cycle, particularly nuclear import and integration Membraneless nuclear organelles (MLOs) and liquid-liquid phase separation (LLPS) in viral strategies Host-pathogen interactions and nucleoporin/viral capsid interfaces Development of live-cell imaging systems for retroviral DNA Article Trends show consistent focus on: LLPS/MLOs in HIV and SARS-CoV-2 Capsid-host co-evolution and nuclear invasion Nucleoporin-chromatin factor interplay Live imaging of viral DNA dynamics Grants & Projects include multiple ANRS, FRM, and Sidaction grants (2013-present), with leadership roles in projects like: NEWVIRBIO: Latent HIV 'condensate' mechanisms HIV-1 and nuclear membraneless organelles Ultrastructural conformation states of HIV-1 Teaching & Editorial Work : MOOC instructor (2017-2018) and editorial board member of Frontiers in Medicine (2018-present).

• Physical Organic Chemistry
• Biophysical Chemistry
• DNA-binding molecules
• +۶ مورد دیگر

Dr Niek Buurma is a Senior Lecturer in Physical Organic Chemistry at the School of Chemistry, Cardiff University . With a career spanning over two decades, his research delves into the intricate chemistry of aqueous solutions, focusing on DNA-binding molecules and organic reaction mechanisms. His work bridges fundamental science with practical applications in molecular diagnostics, forensic detection, and pharmaceutical development. Educational Background: MSc (1997, cum laude) – University of Groningen, Netherlands PhD (2003, cum laude) – University of Groningen, Netherlands Postdoctoral Research Fellow (2002–2006) – University of Sheffield, UK Research Interests: Dr Buurma’s research is organized into two main pillars. The first involves the design and synthesis of conjugated DNA-binding molecules with tailored optoelectronic properties for applications in biosensors, forensic detection, and self-assembled nanobioelectronic systems. The second pillar focuses on organic reactivity in aqueous media , including kinetic studies of racemisation, surfactant-assisted catalysis, nanoparticle-mediated reactions, AI-driven reaction optimization, and pharmaceutical degradation kinetics. His group develops advanced data-analysis software, notably for isothermal titration calorimetry (ITC), and pioneers low-cost AI reaction-optimisation platforms using Raspberry Pi computers. Scientific Awards & Recognition: Unilever Research Prize (1998) Featured on BBC News for racemisation research Invited Maître de Conférences, Université de Toulouse III – Paul Sabatier (2016) Professional Memberships & Service: Director, Dutch Network for Academics in the UK (DNA-UK) ACB Member, CONNECTS-UK Fellow, Higher Education Academy Secretary, RSC Physical Organic Chemistry Group Member, EPSRC Directed Assembly Network Core Team Teaching & Supervision: Dr Buurma teaches advanced modules in organic chemistry, medicinal chemistry, and biophysical techniques. He currently supervises six PhD students and is available for postgraduate supervision in physical organic chemistry and biophysical chemistry.

• Statistical theory (estimators – asymptotic properties)
• Statistical applications (medical statistics, econometrics)
• Measurement error modeling
• +۵ مورد دیگر

Professor Mirta Benšić is affiliated with the School of Applied Mathematics and Informatics at Josip Juraj Strossmayer University of Osijek. She leads the Probability, Mathematical Statistics and Data Science Research Group and teaches Multivariate Analysis , Statistics , and Probability and Statistics at the Faculty of Applied Mathematics and Informatics. Degrees: PhD in Mathematics, University of Zagreb (1997) MSc in Mathematics, University of Zagreb (1990) BSc in Mathematics and Physics, University of Osijek (1985) Her research focuses on statistical theory (estimators, asymptotic properties) and statistical applications in medical statistics, econometrics, environmental science, and food engineering. Recent work includes modeling SARS-CoV-2 immunity duration, radon concentration analysis in Montenegrin buildings, and nutritional improvements in food products. Key trends from her 15 most recent publications span biostatistics (prostate cancer MRI analysis), environmental science (radon studies), food technology (cocoa shell processing), and materials engineering (concrete with recycled rubber). Her methodological contributions include measurement error models, nonlinear regression, and multivariate analysis. Leadership and Projects: She led projects funded by the Croatian Science Foundation (e.g., Statistical aspects of parameter identification ), European Regional Development Fund, and Montenegrin Academy of Sciences. She served on editorial boards ( Mathematical Communications , Osječki matematički list ) and program committees for international statistical conferences.

Nicolas Audebertمشاهده پروفایل

پژوهشگر

• Computer Vision
• Machine Learning
• Representation Learning
• +۵ مورد دیگر

Nicolas Audebert is a Computer Vision and Machine Learning researcher working as a junior research director at the French National Institute of Geographic and Forest Information (IGN) in the LASTIG laboratory, STRUDEL team. He is currently on leave from his position as Associate Professor of Computer Science at the Conservatoire national des arts et métiers (Cnam) where he was part of the Vertigo team. His research spans computer vision, machine learning, and Earth Observation with applications in remote sensing and video games. Dr. Audebert earned his PhD in Computer Science from ONERA and IRISA in 2018, followed by an MEng in Computer Science from Supélec and an MSc in Human-Computer Interaction from Université Paris-Sud in 2015. In May 2025, he successfully defended his habilitation à diriger des recherches (HDR) titled "Learning representations from observations". His research focuses on representation learning , where he develops methods to create abstract representations of raw data that allow computers to manipulate high-level concepts numerically. In Earth Observation , he processes and makes sense of large volumes of satellite data for land cover mapping, change detection, and image interpretation. His work in machine learning for games explores how to use reinforcement learning to generate diverse and challenging AI in video games. Additional research interests include generative models, multimodal learning, and domain adaptation techniques. His recent publications demonstrate expertise in cross-sensor learning, super-resolution of satellite imagery, diffusion models for Earth Observation, and robust image retrieval systems. His work bridges theoretical advances in deep learning with practical applications in geospatial analysis, with a particular focus on developing methods that work across different sensor types and environmental conditions. Outstanding Reviewer for ECCV 2024 Outstanding Reviewer for BMVC 2021 Outstanding Reviewer for ICCV 2021 Best Benchmarking Contribution Award at GEOBIA 2016 2nd best student paper award at JURSE 2017 Google Research Scholar Program gift Dr. Audebert currently advises four PhD students: Maxime Merizette (semantic segmentation of 3D point clouds), Georges Le Bellier (domain adaptation for Earth Observation), Léo Géré (generative models for music), and Aimi Okabayashi (super-resolution of satellite image time series). He has successfully supervised two PhD students to completion: Perla Doubinsky (controlling generative models) and Elias Ramzi (robust image retrieval), whose thesis won the AFRIF PhD award 2024. He has mentored numerous MSc students on diverse topics including flood detection, procedural generation of video game levels, and deep learning for communication systems. He leads the MAGE project (2022-2026), funded by the Agence Nationale de la Recherche, which investigates using procedural generation and modern rendering engines to create labeled synthetic data for Earth Observation models, particularly for disaster mapping applications. He also leads the SESURE project (2021-2023) focused on super-resolution of Sentinel-2 time series, and previously led the RL-Games project (2020-2022) exploring reinforcement learning applications for video games.

Srinivasa Bollaمشاهده پروفایل

استادیار

• Neuroscience of learning and memory
• Phytoconstituents in disease models
• Clinically relevant anatomical variations
• +۲ مورد دیگر

Srinivasa Bolla is an Assistant Professor in the Department of Biomedical Sciences at the School of Medicine, Nazarbayev University, Nur-Sultan, Kazakhstan. With over two decades of teaching and research experience, he has held academic positions at Imam Abdulrahman bin Faisal University in Saudi Arabia and Mamata Medical College in India. His scholarly work is marked by an h-index of 22 and more than 24,000 citations, reflecting significant contributions to global health and neuroscience. Education: PhD in Anatomy, Dr NTR University of Health Sciences (2013) Research Interests: Dr. Bolla’s research spans five major areas: Neuroscience of learning and memory: Investigating the neural mechanisms underlying cognitive processes. Phytoconstituents in disease models: Exploring plant-derived compounds for therapeutic potential. Clinically relevant anatomical variations: Documenting and analyzing anatomical anomalies with clinical significance. Medical education: Enhancing pedagogical approaches in anatomy and health sciences. Forensic anthropology: Applying anatomical expertise to forensic contexts. Publications & Impact: His recent publications focus on global burden of disease metrics, AI in medical education, and neurological disorders. He has contributed to landmark studies in The Lancet and JAMA Oncology, covering topics from cancer epidemiology to dementia forecasting. His work on COVID-19 and neurological disease has been particularly influential, alongside stem cell research for Huntington’s disease. Grants & Projects: Principal Investigator: “Investigating the Relationship Between Sleep Quality and Brain Imaging Biomarkers” (2025-2027, Government grant). Co-Investigator: “Construction of Kazakh Brain Atlas and its role in AI-based diagnostics of Dementia and Alzheimer’s disease” (2024-2026, FDCRGP grant). Teaching & Labs: Dr. Bolla teaches human anatomy to MD, nursing, sports medicine, and medical science students, covering systems like cardiovascular, respiratory, and neuroscience. He is actively involved in developing AI-integrated curricula and participates in the Qaz Green Health Project for sustainable healthcare education in Kazakhstan.

Sabine Schneiderمشاهده پروفایل

پژوهشگر

• Epigenetic modifications
• RNA modifications
• Nucleic acid structure-function relationships
• +۳ مورد دیگر

Dr. Sabine Schneider is a Researcher at the Department of Chemistry, Faculty of Chemistry and Pharmacy, Ludwig Maximilians University of Munich, where she leads a research group at the Institut für Chemische Epigenetik (ICEM). She serves as a board member and is part of the Collaborative Research Center SFB 1309, specifically leading Project B09 focused on "Analysis of epigenetic modifications in micro RNAs". Her research group actively investigates the chemical and epigenetic modification landscape of nucleic acids using advanced biochemical and structural techniques. Dr. Schneider's research centers on understanding that nucleic acids are far more than mere carriers of genetic information. Her group explores how these molecules play pivotal roles in cellular processes including metabolite sensing, gene expression regulation, development, differentiation, and immunity. They employ chemical biology, biochemistry, mass spectrometry, and X-ray crystallography to investigate the structure-function relationships of nucleic acids, their interactions with proteins, and recognition of small molecules. A key focus is the molecular mechanisms of mammalian 2-oxoglutarate-dependent AlkBH-oxygenases and their impact on epigenetic modifications in micro RNAs. Analysis of Dr. Schneider's publication record from 2020-2025 reveals a strong interdisciplinary focus spanning RNA modifications, nucleic acid biochemistry, and epigenetic mechanisms. Her work ranges from fundamental enzymatic mechanisms to technological development for studying RNA modifications and their functional consequences in health and disease contexts. Recent publications demonstrate increasing emphasis on developing novel methods for RNA analysis and understanding the functional implications of RNA modifications. Project B09: Analysis of epigenetic modifications in micro RNAs SFB 1309 Collaborative Research Center participation ICEM (Institut für Chemische Epigenetik) leadership role Dr. Schneider actively mentors four PhD students and maintains a collaborative research environment with regular team-building activities including lab-day outings, hiking trips, and social dinners, reflecting a supportive and productive laboratory culture.

Robert Edward Schwartzمشاهده پروفایل

دانشیار

• Hepatology
• Gastroenterology
• Stem Cell Biology
• +۴ مورد دیگر

Robert Edward Schwartz, M.D., Ph.D. is an Associate Professor of Medicine at Weill Cornell Medical College and an Attending Physician at New York-Presbyterian Hospital's Cornell campus. A graduate of Cooper Union (B.E. 1999), University of Minnesota (M.D. and Ph.D. 2006), he completed Internal Medicine residency at Barnes-Jewish Hospital and Gastroenterology/Hepatology fellowship at Brigham and Women's Hospital. His clinical focus includes liver diseases such as viral hepatitis, autoimmune hepatitis, and metabolic liver disorders. Education: B.E., Chemical Engineering, Cooper Union (1999) M.D. and Ph.D., Biomedical Engineering, University of Minnesota (2006) Dr. Schwartz's research develops human liver disease models in vitro using stem cell biology and engineering techniques. His work spans: Hepatitis B and C pathogenesis Organoid modeling for viral infections Extracellular vesicle roles in metastasis Liver zonation and metabolic dysfunction Spaceflight-induced mitochondrial stress COVID-19 systemic effects He holds advisory roles at Lime Therapeutics and Miromatrix Medical Inc. , with prior consultation at Alnylam Pharmaceuticals . Active grants include NIH/NIDDK-funded research on epithelial-mesenchymal crosstalk in liver disease and NASA collaborations on spaceflight countermeasures.

• Cardiology
• Heart Failure
• Cardiogenic Shock
• +۷ مورد دیگر

Peter Moritz Becher is a prominent cardiology researcher and clinician at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Department of Cardiology within the Faculty of Medicine. With a medical doctorate (Dr. med.) and an extensive publication record spanning over eight years, Dr. Becher has established himself as a significant contributor to cardiovascular research, particularly in the areas of heart failure, cardiogenic shock, myocarditis, and interventional cardiology. His research interests focus on cardiovascular pathophysiology , with particular emphasis on inflammatory processes in heart disease, cardiac biomarkers, and outcomes research across various cardiac conditions. Dr. Becher has made significant contributions to understanding heart failure phenotyping , cardiogenic shock management , and myocardial inflammation mechanisms, often employing advanced imaging techniques and large-scale epidemiological data from the Hamburg City Health Study. Analysis of his recent publications reveals a strong focus on translational research bridging basic immunological mechanisms with clinical cardiology applications, particularly evident in his work on GPR15-mediated T cell recruitment in myocarditis. His research also demonstrates expertise in interventional cardiology techniques, including calcium modification during percutaneous coronary interventions and outcomes of mechanical circulatory support. Dr. Becher maintains active collaborations with leading cardiovascular researchers at UKE, including Professors Stefan Blankenberg and Paulus Kirchhof, and participates in numerous multicenter studies across Europe. His work appears regularly in high-impact cardiology journals including Nature Cardiovascular Research , Circulation , and European Heart Journal , reflecting the significance and quality of his contributions to the field.