جست‌وجوی استاد و پژوهشگر

Tonmoy Chakrabortyمشاهده پروفایل

استادیار

• Atomic, Molecular, and Optical Physics
• Biophysics
• Optics
• +۳ مورد دیگر

Tonmoy Chakraborty is an Assistant Professor in the Department of Physics and Astronomy at the University of New Mexico. His research focuses on advanced microscopy techniques, particularly light-sheet microscopy, with applications in biophysics and optical physics. He holds a PhD from the State University of New York at Albany (2018). His work emphasizes high-resolution imaging, volumetric scanning, and multi-scale imaging solutions for biological and physical systems. Education: PhD in Physics, State University of New York, Albany, 2018 Research Interests: Dr. Chakraborty’s research spans Atomic, Molecular, and Optical Physics and Biophysics , with a focus on developing novel microscopy technologies for 3D and 4D imaging. Key areas include axial de-scanning lattice light-sheet microscopy, remote refocusing techniques, and high-speed imaging methods for large biological tissues. His innovations aim to enhance resolution, reduce imaging time, and enable physiologically relevant micro-environment analysis. Recent Research Trends: His recent work (2022–2025) emphasizes ultra-fast imaging systems (e.g., SIFT), multi-scale imaging solutions, and advancements in light-sheet detection arms. These efforts address challenges in volumetric imaging, isotropic resolution, and real-time biological monitoring. Awards & Grants: No specific awards or grants are listed in the provided text. His funding sources and grant activities are not detailed here. Labs & Affiliations: Affiliated with the University of New Mexico’s Physics and Astronomy department, contributing to its microscopy and biophysics research initiatives. His work aligns with the department’s focus on cutting-edge optical and biomedical imaging technologies.

Yudi Daiمشاهده پروفایل

پژوهشگر ارشد

• 3D Computer Vision
• Scene Mapping
• 4D Human Motion Capturing
• +۴ مورد دیگر

Yudi Dai is a Postdoctoral Research Fellow at the ETH AI Center, collaborating with Professors Siyu Tang and Christian Holz. He holds a PhD from Xiamen University (2024), where he also completed his B.E. (2016) and M.Sc. (2019). His research focuses on 3D Computer Vision, emphasizing scene mapping, 4D human motion capturing, and human-scene interaction reconstruction. He aims to develop robust methods for understanding human behavior in complex environments. Education: Ph.D. in Computer Science, Xiamen University, 2024 M.Sc. in Computer Science, Xiamen University, 2017-2019 B.E. in Computer Science, Xiamen University, 2016 His research interests include multimodal datasets (e.g., ClimbingCap, SLOPER4D), sensor fusion (IMUs+LiDAR), and human-centric scene capture. Notable contributions include HSC4D for large-scale indoor-outdoor scene reconstruction and HiSC4D for human-scene interaction modeling. His work bridges computer vision, robotics, and sensor technology for applications in AR/VR, autonomous systems, and urban modeling. Publications span CVPR, TPAMI, and IEEE journals, emphasizing scene-aware human motion analysis and dataset development. Collaborations involve institutions like ShanghaiTech University and the Xiamen University Sensing and Computing Lab. His datasets are widely cited for their focus on real-world, challenging environments. Current work explores dynamic scene reconstruction, wearable sensor systems, and human-environment interaction modeling. His lab at the ETH AI Center focuses on advancing AI-driven perception in unstructured environments.

Valery Vishnevskiyمشاهده پروفایل

مدرس

• Biomedical Imaging
• Magnetic Resonance Imaging (MRI)
• Ultrasound Imaging
• +۳ مورد دیگر

Dr. Valery Vishnevskiy is a Lecturer at the Department of Information Technology and Electrical Engineering at ETH Zürich , affiliated with the Biomedical Imaging Group . His research focuses on advanced medical imaging techniques, particularly in cardiac MRI , ultrasound , and machine learning applications . He contributes to projects involving 4D flow MRI reconstruction , speed-of-sound imaging , and motion-corrected diffusion tensor analysis . Primary Affiliation : ETH Zürich, Department of Information Technology and Electrical Engineering Research Interests : Biomedical Imaging, MRI Reconstruction, Ultrasound Physics, Cardiac Imaging, Deep Learning His recent work emphasizes self-supervised learning for medical imaging, including the development of FlowMRI-Net for accelerated 4D flow MRI and Speed-of-Sound Imaging using diverging waves. Publications span hyperpolarized 13C metabolic imaging , viscoelasticity reconstruction , and probabilistic sampling optimization . Dr. Vishnevskiy's contributions to deformable image registration include methods for handling sliding interfaces in abdominal and cardiac imaging, with applications in respiratory motion compensation and tissue ablation monitoring . He also explores mathematical models for enzyme activity analysis and behavioral pattern detection.

• Biomedical Engineering
• Machine Learning
• Signal Processing
• +۱۲ مورد دیگر

Abbas Z. Kouzani is a Professor at Deakin University's School of Engineering, specializing in Electrical and Computer Engineering. His research spans interdisciplinary domains including biomedical engineering, artificial intelligence, sensor technology, and embedded systems. Key areas: Machine Learning, Neurotechnology, Sustainable Robotics, Mental Health Analytics Recent work focuses on AI-driven solar defect detection, low-resource FPGA implementations, and 4D-printed robotic joints with reinforcement learning. Collaborations include Sui Yang Khoo, Scott D. Adams, and M. A. Parvez Mahmud.

• Geophysics
• Environmental Science
• Hydrogeology
• +۳ مورد دیگر

Dr. Ulrike Werban is a Scientist and Head of WG2 'Geophysics' in the Department of Monitoring & Exploration Technologies at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. She holds a Dr. nat. Sci. in Geophysics from Christian-Albrechts-Universität zu Kiel (2006). Her research focuses on geophysical methods applied to soil, groundwater, and biodiversity, particularly integrating geophysical techniques with direct push-driven technologies. She coordinates the research platform MOSAIC and leads projects like MOMENT and MoDEV. Her work emphasizes environmental exploration, managed aquifer recharge, and geoarchaeology. She has contributed to over 100 publications since 2005, addressing topics like sediment analysis, hydrogeophysics, and environmental monitoring. Key collaborations include institutions like TU Darmstadt, University of Potsdam, and international projects like TestUM. She advises on geophysical methodologies for subsurface characterization and environmental sustainability. Education: PhD in Geophysics (2006), Christian-Albrechts-Universität zu Kiel Professional Experience: Scientist at UFZ since 2006 Research interests include geophysical contributions to environmental and archaeological studies, managed aquifer recharge optimization, and subsurface process modeling. Her work bridges geophysics, hydrology, and environmental engineering, with applications in floodplain dynamics, carbon storage, and climate change impacts. Projects include the Bode Hydrological Observatory, the Münsterdorf sinkhole analysis, and the STH-net soil monitoring initiative. She collaborates on sensor-based decision tools for agriculture and integrates multidisciplinary approaches to address environmental challenges.

• Reproductive Cell Regeneration
• Stem Cell Biology
• Molecular Cell Biology
• +۶ مورد دیگر

B. Duygu Özpolat is an Assistant Professor of Biology at Washington University in St. Louis, where she leads the Özpolat Lab focused on understanding the mechanisms of reproductive cell regeneration. Her research addresses fundamental questions about how reproductive cells (which become eggs and sperm) can be regenerated in certain organisms but not in humans or well-established research models. Dr. Özpolat's work combines advanced techniques including live-imaging, genome-editing, mRNA injections, and transgenesis to study marine and aquatic segmented worms, particularly Platynereis dumerilii (Dumeril's clam worm) and Pristina leidyi (water nymph worm). Her laboratory investigates three primary research areas: the cellular origins and molecular mechanisms of germ cell regeneration, asymmetric cell division in the 4d lineage that gives rise to germline and mesoderm, and host-microbiome interactions in the context of regeneration and asexual reproduction. Her research has significant implications for understanding stem cell biology and regenerative medicine, potentially providing insights into the 'mother of all stem cells.' Dr. Özpolat has developed innovative methodologies including optimized Hybridization Chain Reaction protocols and custom 3D-printed tools for embryonic manipulation. Her work has been featured in news outlets including the Marine Biological Laboratory. Dr. Özpolat actively welcomes students and postdocs interested in molecular cell biology, regeneration, stem cell biology, and evolutionary developmental biology to join her laboratory. Her collaborative approach spans multiple disciplines, connecting developmental biology with microbiome research and technical innovation.

Guy De Tréمشاهده پروفایل

دانشیار

• Computational Intelligence
• Data Quality
• Decision Support Systems
• +۷ مورد دیگر

Guy De Tré is an Associate Professor at the Department of Telecommunications and Information Processing within Ghent University's Faculty of Engineering and Architecture. He leads the Database, Document and Content Management (DDCM) research group and focuses on computational intelligence in information systems, with expertise in bi-polarity handling, uncertainty modeling, and multi-valued logic systems. Primary Affiliation: Ghent University Research Focus: Data quality, fuzzy querying, spatio-temporal modeling Key Contributions: Foundational work in possibilistic databases and explainable AI His research combines theoretical and applied approaches to information management systems. Theoretical work includes: Bipolarity and uncertainty handling in databases Multi-valued logic frameworks Interval B-tree indexing for possibilistic data Applied research spans: NoSQL database optimization Decision support systems Contextualized machine learning 3D/4D modeling for geological resources Recent publications show increasing focus on explainable AI, with multiple works on contextualized support vector machine classification and orthographic similarity measures for graph-based data representations. His work bridges database theory with practical applications in data quality assessment, medical informatics, and cultural heritage projects like the Byzantine Book Epigrams database. Research Group: Leads the DDCM group at Ghent University, specializing in: Database management innovation Content modeling techniques Fuzzy logic implementations Temporal data indexing Intelligent information systems

Rüdiger Rudolfمشاهده پروفایل

استاد

• Biosensorics
• 3D Cell Models
• Neuromuscular Junctions
• +۷ مورد دیگر

Rüdiger Rudolf is a Professor of Biosensorics at the Institute of Molecular and Cell Biology, Mannheim University of Applied Sciences. He is also a member of the Center of Mass Spectrometry and Optical Spectroscopy (CeMOS) and an investigator at the Interdisciplinary Center for Neurosciences (IZN) at Heidelberg University. His research focuses on developing 3D cell models for neuroscience and pharmaceutical applications, including neuromuscular junction (NMJ) organoids, bioprinting, and AI-driven microscopy analysis. Key research areas include: 3D-bioprinted neuromuscular junction models hiPSC-derived Schwann cells and motoneurons Organoid systems for disease modeling Optical tissue clearing and 4D microscopy Cellular communication mechanisms in NMJ maturation Grants & Projects: Leader of the MWK-funded Perpharmance research training group (2023–2026) BMBF-funded M²Aind project (2023–2025) DFG grant for organoid metabolomics analysis (2022–2027) Co-leader of the DigiFIT initiative (2019–2022) Core member of the Forschungscampus Mannheim Molecular Intervention Environment (2015–2025) Collaborations: Active partnerships with academic and industrial groups in pharmaceutical testing and biotechnology.

• Food Safety
• Zoonotic Diseases
• Antimicrobial Resistance
• +۵ مورد دیگر

Professor Séamus Fanning is a Full Professor of Food Safety and Zoonoses at University College Dublin (UCD), serving as Director of the Centre for Food Safety within the School of Public Health, Physiotherapy and Sports Science. His academic career includes roles such as Head of Department at Cork Institute of Technology and a Doctor of Science (DSc) from the National University of Ireland. His research focuses on food safety, zoonotic pathogens, antimicrobial resistance, and One Health approaches to combat AMR evolution in food chains. Key research interests include bacterial pathogen genomics, foodborne disease surveillance, and the development of diagnostic tools (e.g., ion current rectifying nanopipettes for pathogen detection). He has led major grants like the CO-ADAPT project on livestock coinfections and the Microbial Communities in the Food Chain initiative. His work spans international collaborations with organizations like the EU-US Safe Food Network, the FAO/WHO, and the Food Safety Authority of Ireland. Professor Fanning has received notable awards including the Fulbright Scholarship and French Government Travelling Fellowship. His professional memberships include the American Society for Microbiology (ASM) and the Biochemical Society. Over 800+ research outputs highlight his contributions to understanding pathogens like Listeria, Salmonella, and Enterococcus, with a focus on AMR mechanisms and environmental transmission dynamics. His teaching spans food safety risk analysis, antimicrobial resistance in zoonoses, and food regulation.

• Cardiology
• Pediatric Cardiology
• Congenital Heart Defects
• +۳ مورد دیگر

Andrew Chen is a Clinical Instructor of Psychiatry and Behavioral Sciences at the University of Southern California (USC). He specializes in pediatric cardiology, focusing on congenital heart defects, cardiovascular imaging, and non-Newtonian hemodynamics. His work integrates artificial intelligence (AI) for diagnostic applications in congenital heart disease and explores innovative devices for pediatric cardiovascular monitoring. Key research includes Fontan circulation dynamics, blood viscosity effects, and 4D flow MRI methodologies. Dr. Chen’s research portfolio spans experimental and clinical studies, including prenatal diagnosis of cardiac anomalies and post-surgical outcomes. He has contributed to advancements in cardiac MRI techniques for iron overload detection and device development for non-invasive monitoring. His articles highlight interdisciplinary approaches to pediatric cardiology challenges, emphasizing translational applications. No scientific awards are explicitly listed in the provided text. His advising record and grants are not detailed here, though his affiliations suggest active involvement in clinical and academic initiatives. No lab or team affiliations are mentioned.

• Pediatric Cardiology
• Cardiac Imaging
• Fontan Circulation Pathophysiology
• +۳ مورد دیگر

Dr. Andrew Cheng is an Associate Professor of Clinical Pediatrics at the University of Southern California (USC) and an attending Pediatric Cardiologist at Children’s Hospital Los Angeles (CHLA). He specializes in cardiac magnetic resonance imaging (MRI), advanced cardiac imaging, and care of patients with Fontan circulation. His research focuses on using MRI and computational fluid dynamics to study blood viscosity's role in Fontan pathophysiology. Dr. Cheng directs CHLA's multidisciplinary Fontan Clinic and serves as the site PI for the Fontan Outcomes Network. Education: B.S. in Electrical Engineering & Computer Science, University of California, Berkeley M.D., University of Michigan Pediatric Residency, UCLA Pediatric Cardiology & Advanced Cardiac Imaging Fellowships, CHLA Research Interests: Dr. Cheng's work centers on Fontan circulation physiology, hemodynamic modeling, and innovative diagnostic technologies. He explores how blood rheology and fluid dynamics impact univentricular heart patients. His projects include developing smartphone-based cardiovascular monitoring systems and automated AI-driven MRI analysis tools. Publications Trends: Recent work emphasizes Fontan circulation interventions, post-COVID cardiac outcomes, and MIS-C long-term effects. His studies bridge engineering principles with clinical cardiology, particularly in pediatric populations. Awards: Morris and Mary Press Humanism Award Nominee (2020) Provost’s Postdoctoral Scholar Grant (2015-2016) American Academy of Pediatrics Research Fellowship (2014-2015) Advising & Grants: Leads NIH-funded studies like the NHLBI MUSIC trial. His grants include postdoctoral research funding and collaborative projects on cardiac imaging innovation. He mentors teams in CHLA's Fontan Clinic and the Fontan Outcomes Network. Labs/Teams: Directs CHLA's Fontan Clinic, a hub for multidisciplinary care and research on univentricular heart defects. Collaborates with engineers on device development and AI applications in pediatric cardiology.

• Cardiovascular Imaging
• Renal Disease
• Medical Imaging Techniques
• +۳ مورد دیگر

Dr. Pauline Hall Barrientos is an Honorary Lecturer at the University of Glasgow's School of Medicine, Dentistry & Nursing and an Affiliate of the School of Cardiovascular & Metabolic Health. Her research focuses on cardiovascular and renal imaging, post-COVID-19 multisystem disorders, and computational fluid dynamics modeling of vascular diseases. She has contributed to studies on hemodialysis vascular access optimization, post-COVID-19 illness trajectories, and the hemodynamic effects of arteriovenous fistulas. Education & Affiliations: University of Glasgow (current affiliation) Research Interests: Dr. Barrientos' work bridges clinical imaging with biomedical engineering, particularly in: 4D Flow MRI applications for vascular assessment Cardio-renal syndrome mechanisms Computational modeling of arterial stenosis Long-term post-infectious cardiovascular sequelae Publication Trends: Her recent work emphasizes: Post-COVID-19 multisystem dysfunction analysis Vascular access optimization for hemodialysis patients Cardiac adaptation to arteriovenous fistulas Comparative imaging studies (MRI vs ultrasound) Collaborations: Works with interdisciplinary teams including nephrologists, cardiologists, and biomedical engineers. Key collaborations involve the Renal Unit at Queen Elizabeth University Hospital and the Glasgow Cardiovascular Research Centre.

Alexis Cartwright-Taylorمشاهده پروفایل

استادیار

• Rock Physics
• Experimental Rock Deformation
• Fluid-Rock Interactions
• +۵ مورد دیگر

Alexis Cartwright-Taylor is an Assistant Professor at Heriot-Watt University's The Lyell Centre, part of the Global Research Institutes. Their research focuses on micro-mechanical processes in rocks under stress, integrating rock physics, seismology, and structural geology. Key areas include fluid-rock interactions for energy transition applications, induced seismicity risk assessment, and subsurface process quantification for CO₂ storage and geothermal energy. Educational background includes a BSc in Geophysics (University of Southampton), MSc in Geophysical Hazards (UCL), and a PhD in experimental rock deformation from UCL. Prior to Heriot-Watt, they conducted seven years of postdoctoral research at the University of Edinburgh, specializing in stress-induced rock property evolution and geohazard assessment. Research employs advanced techniques such as 4D synchrotron x-ray microtomography and acoustic monitoring, with notable contributions in equipment development like the x-ray transparent deformation cell. Their work bridges micro-scale observations to macro-scale models for energy transition challenges. Key projects include mine-water geothermal systems and hydrogen storage feasibility studies. They advise on PhD students and collaborate internationally on subsurface process modeling and sustainable energy solutions.

• Computation and parametric design
• Shape Shifting Materials
• Interactive architecture and responsive structures
• +۴ مورد دیگر

Rana El-Dabaa is an Assistant Professor at Heriot-Watt University's School of Energy, Geoscience, Infrastructure and Society. She holds a PhD from Ain-Shams University (2020), with collaborative research involving the American University in Cairo and Princeton University. Her expertise spans computational design, material science, and sustainable architectural solutions. She teaches architecture design studios and computation courses, emphasizing research-led education and hands-on learning. Education: BSc, MSc, PhD in Architecture. Notable collaborations include work with Princeton University and the American University in Cairo. Research Interests: Computation and parametric design, shape-shifting materials, interactive architecture, adaptive facades, daylight performance optimization, and additive manufacturing. Her work contributes to UN Sustainable Development Goals related to sustainable cities and climate action. Her articles focus on adaptive architectural systems, hygroscopic materials, and multi-physics modeling. She leads the Year 2 Architecture Design Studio at HWUD and has mentored students through international workshops in the USA, Italy, and Egypt.

Jacopo Fabriniمشاهده پروفایل

پژوهشگر

• Serious Games
• DevOps
• Digital Twin
• +۴ مورد دیگر

Jacopo Fabrini is a Researcher at the Academy for AI, Games & Media at Breda University of Applied Sciences , specializing in software development and research for EU-funded projects. He contributes to the MSP Challenge application and works on marine spatial planning, digital twins, and data visualization. His technical expertise includes DevOps pipelines and Agile SAFe methodologies. Research Interests : Digital Twins for oceanic and environmental systems DevOps automation and software lifecycle management Marine Spatial Planning (MSP) frameworks 2D/3D/4D data visualization techniques Serious Games for maritime applications Publication Trends : Fabrini’s recent work focuses on integrating Digital Twin technologies with marine data systems, emphasizing environmental monitoring, microparticle flow visualization, and scalable geospatial modules. His output spans journals, reports, and interactive platforms like GeoViz, reflecting interdisciplinary collaboration between academia and EU maritime observatories. Labs & Teams : He is affiliated with the Cradle R&D laboratory, where he implements automated software pipelines for digital twin projects. His work involves close collaboration with teams on Horizon 2020 initiatives such as ILIAD and ECOSCOPE, addressing sustainable fisheries and ocean health.