جست‌وجوی استاد و پژوهشگر

Bernd Riegerمشاهده پروفایل

استاد

• Computational microscopy
• Optical nanoscopy
• Image processing
• +۳ مورد دیگر

Bernd Rieger (born 1973) is a Professor at the Faculty of Applied Sciences of Delft University of Technology (TU Delft), Netherlands. He leads the Computational Imaging group within the Department of Imaging Physics (ImPhys). Appointed as Antoni van Leeuwenhoek full professor in 2017, he has established himself as a leading researcher in advanced microscopy techniques. His educational background includes an M.Sc. in physics from Technische Universität München (1999) and a Ph.D. in image processing and analysis from Delft University of Technology (2004). After completing his doctoral studies, he conducted postdoctoral research at the Max Planck Institute for Biophysical Chemistry in Göttingen, Germany. Rieger's research focuses on Computational Microscopy , which combines imaging physics and image processing specifically for light and electron microscopy applications in life sciences at the biomolecular level. His work spans optical nanoscopy, image processing algorithms, and electron microscopy techniques, with particular emphasis on improving resolution and developing novel imaging methodologies. The research has significant implications for understanding cellular structures and molecular interactions. Analysis of his recent publications reveals a strong focus on improving microscopy resolution techniques, developing image processing algorithms for microscopy data, and advancing super-resolution imaging methods. His work combines theoretical foundations with practical applications in biological imaging, particularly in the areas of structured illumination microscopy, DNA-PAINT, and Fourier analysis techniques for resolution assessment. ERC Consolidator Grant (2015) to investigate ways to further improve the resolution towards 1 nm in the field of optical nanoscopy Professor Rieger has successfully secured significant research funding, including the prestigious ERC Consolidator Grant. His research group collaborates extensively with other institutions and researchers across Europe. The group maintains strong connections with industry partners, particularly in the microscopy equipment sector, building on Rieger's earlier experience at FEI Electron Optics. The Rieger group operates advanced microscopy facilities at TU Delft, focusing on computational approaches to enhance imaging capabilities. The lab integrates physics-based modeling with sophisticated image processing techniques to push the boundaries of what's possible in optical and electron microscopy. Current research directions include 3D structured illumination microscopy, single-molecule localization techniques, and novel approaches to quantitative image analysis in biological contexts.

• Digital Signal Processing
• Image Processing
• Computer Vision
• +۲ مورد دیگر

Mehmet Türkan serves as an Associate Professor in the Department of Electrical and Electronics Engineering at the Faculty of Engineering, Izmir University of Economics, Turkey, where he has held academic positions since 2015 including promotion from Assistant to Associate Professor. His academic credentials include: PhD in Computer Science from Université Rennes I, France (2011) MSc in Electrical and Electronics Engineering from Bilkent University, Turkey (2007) BSc in Electrical and Electronics Engineering from Eskişehir Osmangazi University, Turkey (2004) Dr. Türkan's research centers on digital signal/image processing, computer vision, and machine learning with emphasis on sparse representations, linear embeddings, and deep learning applications. His work bridges theoretical algorithm development with practical implementations in biomedical imaging and multimedia systems, particularly advancing techniques for image fusion, quality assessment, and medical diagnostics. Analysis of his 2020-2024 publications reveals a strong trajectory toward biomedical applications—especially melanoma detection and fluorescence microscopy—while maintaining core contributions to image processing fundamentals. This period shows increasing integration of deep learning with traditional signal processing methods, reflecting broader field trends. His scientific recognition includes: Best Student Paper Award at IEEE ICIP 2010 Dr. Türkan has secured research funding through European Commission initiatives including MUSCLE-NoE, 3-DTV-NoE, and UltraHD-4U projects. His collaborative work spans international teams at Technicolor Research & Innovation Center (2011-2015) and current academic partnerships. He maintains active leadership in image processing research through ongoing publications and supervision of graduate projects at Izmir University of Economics, with recent work focusing on spatio-temporal information preservation and medical image analysis.

Pontus Nordenfeltمشاهده پروفایل

دانشیار

• Infectious Medicine
• Immunology
• Cell Biology
• +۸ مورد دیگر

Pontus Nordenfelt is an Associate Professor and Senior Lecturer at the Department of Infection Medicine (BMC), Lund University. He serves as Principal Investigator for multiple active projects, including InfPathMapper (Horizon Europe) and Broad antibody-based protection against SARS-CoV-2 (Swedish Research Council). His research spans infectious medicine, immunology, cell biology, and biophysics , focusing on human cell-environment interactions in infections and cancer. His lab investigates biomechanical forces, antibody-complement systems, and receptor signaling (Fc receptors, integrins), developing technologies like NETQUANT for quantifying neutrophil extracellular traps. Recent projects include Protumoral lipid droplet-loaded macrophages (Science Translational Medicine, 2024) and Targeting Cholesterol Homeostasis (2024). Pontus has received the Schyberg Award (2018) and Anna-Greta Crafoord Prize (2010). He manages advanced infrastructure including the Nikon Ti2 Pathogen Live Microscope and CytoFLEX flow cytometer , and contributes to UN Sustainable Development Goals in health and innovation.

Rongxin Fangمشاهده پروفایل

استادیار

• Genomics
• Neuroscience
• Computational Biology
• +۶ مورد دیگر

Rongxin Fang is an Assistant Professor of Neurosurgery and Genetics (by courtesy) at Stanford University. He received his Ph.D. in Bioinformatics and Systems Biology from UC San Diego (2015-2019) and completed a postdoctoral fellowship in Spatial Genomics at Harvard University (2019-2024). His work bridges high-throughput genomic technologies, computational tools, and transcriptome imaging to unravel the molecular architecture of the brain across species and developmental stages. Research Highlights: Developed 3D MERFISH imaging for thick tissues (2024), enabling spatial genomics at unprecedented resolution. Led cross-species MERFISH studies (2022) revealing conserved cortical organization with human-specific glia-neuron interactions. Created SnapATAC (2021), a pivotal tool for large-scale single-cell ATAC-seq analysis. Scientific Awards: Damon Runyon-Dale F. Frey Award for Breakthrough Scientists (2024) Next Generation Leader, Allen Institute (2024) Rising Star in Health in Engineering (2022) Advising and Collaborations: Doctoral Dissertation Advisor for Eduardo Chaparro Barriera Postdoctoral Faculty Sponsor for Ya Jiang Collaborated with Xiaowei Zhuang (Harvard), Adam Cohen (Harvard), and Bing Ren (UCSD)

Svantje Tauberمشاهده پروفایل

پژوهشگر

• Gravitational Biology
• Biomechanics
• Cell Biology
• +۴ مورد دیگر

Svantje Tauber is a biologist and researcher at the University of Zurich (UZH) within the Faculty of Medicine and affiliated with the UZH Space Hub . She works in the field of gravitational biology, focusing on how altered gravity impacts cellular mechanisms, particularly in the immune system and gene regulation. Her work bridges fundamental research with applied science through the UZH Innovation Hub. Research focus: Gravitational Biology, Biomechanics, Space Life Sciences Key initiatives: UZH Space Hub, Digital Society Initiative (DSI) Community Mobility Roles: Research Associate, Point of Contact for Space Life Science Projects Her research explores cellular adaptation to microgravity , including cytoskeletal changes, oxidative stress pathways, and epigenetic modifications in immune cells. She has contributed to understanding T cell and macrophage responses to gravitational alterations using parabolic flights, clinostats, and space station experiments. Current projects include the UZH Innovathon: Digitalization of Mobility , an interdisciplinary teaching format combining space research with mobility challenges. Her work emphasizes translational applications for spaceflight and Earth-based health.

• Drug Delivery
• Lipid Nanoparticles
• Tissue Clearing
• +۵ مورد دیگر

Prof. Dr. Ali Ertürk serves as a Professor at Ludwig Maximilian University of Munich (LMU) where he leads the Institute for Stroke and Dementia Research. His research focuses on developing advanced drug delivery systems, particularly for macromolecular therapeutics like DNA, RNA, and protein-based treatments. His primary research interests center around overcoming the significant challenge of tissue-specific drug delivery using lipid nanoparticles (LNPs). His laboratory specializes in whole-mouse body clearing techniques that enable high-resolution imaging throughout the entire organism. This innovative approach allows for the identification of tissue-specific delivery vehicles beyond the liver, which represents a major limitation in current LNP technology. Ertürk's team combines tissue clearing methods with molecular barcoding to create highly multiplexed in vivo screening platforms for LNP formulations. This work has significant implications for precision medicine and targeted therapeutic delivery. His laboratory emphasizes collaborative teamwork and provides comprehensive training across all relevant technical domains including LNP design, animal experimentation, advanced microscopy, and data analysis. Currently, his research group is actively recruiting doctoral candidates for projects focused on identifying tissue-specific lipid nanoparticles in cleared mouse models, indicating ongoing research activity and supervision of graduate students. His work bridges engineering, neuroscience, and medical research with potential applications in treating neurological disorders and other conditions requiring targeted molecular therapies.

Sean M. McDeavittمشاهده پروفایل

استاد

• Nuclear materials science
• Nuclear fuel behavior and processing
• Materials processing in the nuclear fuel cycle
• +۱ مورد دیگر

Sean M. McDeavitt is a Professor in Nuclear Engineering at Texas A&M University and serves as Director of Strategic Initiatives for the Texas A&M University System. His research focuses on nuclear materials science, including nuclear fuel behavior, high-temperature materials processing, and nuclear fuel cycle materials. Ph.D., M.S., and B.S. in Nuclear Engineering from Purdue University His work spans experimental and computational studies of nuclear fuel properties, reactor materials, and radiation effects. Recent publications emphasize thermal conductivity modeling, test reactor systems, and fuel behavior under irradiation. Key research areas include: Thermal conductivity of metallic and composite fuels Neutronics and radiation shielding Materials processing for advanced reactors Multiphysics modeling of nuclear systems Uranium-zirconium alloy characterization Test reactor experimental design

Jose Rodriguezمشاهده پروفایل

دانشیار

• Structural Biology
• Computational Biology
• Biophysics
• +۵ مورد دیگر

Jose Rodriguez is an Associate Professor at the Department of Chemistry and Biochemistry, University of California, Los Angeles (UCLA), with a focus on Structural Biology , Computational Biology , and Biophysics . His research spans Nanoscience , Biochemistry , and Amyloid Research . His lab develops advanced methods in Electron Diffraction (MicroED) and X-ray Imaging to study: Prions & Amyloid Structures in neurodegenerative diseases Structural Dynamics under electron beam damage 3D Nanocrystallography for molecular lattices Viral Glycoproteins for therapeutic targeting Recent publications highlight his work on MicroED methodology (2025), radiolytic damage analysis (2025), and prion-like domain regulation (2025). His lab is based in Boyer Hall at UCLA. His graduate students include Becky, Jess, Lily, Niko, Nina, Eric, Nima, Aldo, Cameron, and Phoebe. No scientific awards are explicitly mentioned in the provided text.

Jorge Z. Torresمشاهده پروفایل

استاد

• Biochemistry
• Systems Biology
• Cell Division
• +۵ مورد دیگر

Jorge Z. Torres is a Professor at the University of California, Los Angeles (UCLA) in the Department of Chemistry & Biochemistry. His research focuses on mitotic spindle formation, ubiquitin ligases, and small molecule targeting for cancer therapy. Academic affiliation: UCLA Department of Chemistry & Biochemistry Research areas: Cell division, Systems biology, Chemical biology Research Interests: The Torres lab investigates mitotic spindle assembly mechanisms, disease-linked ubiquitin ligases, and chemical screens for cell division inhibitors. Key work includes proteomic analyses of spindle proteins, characterization of microtubule-associated enzymes, and development of software tools like CANVS for interaction data visualization. Publication Trends: Recent articles emphasize spindle assembly regulation (2025), cilia length modulation (2024), and biochemical mechanisms of ubiquitination (2023). Earlier work covers phospho-regulation (2020), phase separation (2020), and comprehensive reviews on katanin family proteins (2021) and Plk1 inhibition strategies. Lab Activities: The lab develops chemical inhibitors (e.g., MI-181, Leusin-1) using virtual screening and pharmacophore modeling. Techniques include human cell lines, in vitro systems, and multi-omics approaches to map protein interactions and drug effects.

• Biophysics
• Biomedical Engineering
• Spectroscopy
• +۳ مورد دیگر

Dr. Caroline Smith is a researcher affiliated with the University of Manchester , working within the School of Chemistry and Department of Chemical Engineering . Her work focuses on biophysics, biomedical engineering, and spectroscopy, particularly in cancer research applications. Collaborated with Professor N S Scrutton, Dr R L Williams, and others Received research grants from BBSRC and EPSRC Professional memberships: European Society for Biomaterials, Society of Chemical Industry, Royal Society of Chemistry Her research involves advanced optical and infrared imaging techniques, machine learning for cancer diagnostics, and biophysical studies of tissue properties in oral squamous cell carcinoma. Recent publications (2022-2024) demonstrate expertise in FTIR spectroscopy, photothermal imaging, and image fusion technologies applied to cancer diagnostics and prognosis prediction. She has contributed to interdisciplinary collaborations spanning chemical engineering, medicine, and data science, with a focus on developing novel tools for biological redox chemistry and biomedical implant studies.

• Refractive Error Development
• Myopia
• Accommodation and Binocular Vision
• +۱۰ مورد دیگر

Dr. Katrina Schmid is an Associate Professor at Queensland University of Technology (QUT) , affiliated with the School of Clinical Sciences under the Faculty of Health . Her work bridges clinical optometry with cutting-edge research in refractive error development , myopia control , and ocular surface disorders , while also contributing to teaching pedagogy and authentic assessment in optometric education. PhD (Queensland University of Technology) BAppSc(Opt)(Hons) (Queensland University of Technology) Dr. Schmid’s research spans diverse areas including binocular vision , amblyopia , meibomian gland dysfunction , and the GABAergic system in eye growth control . She has coordinated units like Foundations of Optometric Practice , emphasizing professional identity and evidence-based competencies. Her scientific accolades include the Classic Paper Award (OPO, 2014) and the JLloyd Hewett Award (CXO, 2020) . Her 2021 rankings (#25 globally in refractive error research, #115 in optometric author impact) underscore her international influence. Classic Paper Award, OPO, 2014 JLloyd Hewett Award, CXO, 2020 QUT Medal recipient As an Editorial Board Member for journals like IOVS , TVST , and Nature Scientific Reports , she shapes academic discourse. Her teaching expertise includes ocular anatomy , pharmacology , and research methods , with a focus on student mentoring and examination validation.

• Chemometrics
• Analytical Chemistry
• Spectroscopy
• +۴ مورد دیگر

Nicola Cavallini is a Fixed-term Assistant Professor at the Department of Applied Science and Technology (DISAT) , Politecnico di Torino , and a member of the College of Chemical and Materials Engineering . He holds a Scientific Branch CHEM-06/A - Chemical Foundations of Technologies within Area 0003 - Chemical Sciences . Since 2020, he has been teaching Principles of Chemometrics and Practical Design of Experiments to PhD and undergraduate students in Chemical Engineering. 2025/26 : Course Lecturer for Principles of Chemometrics 2024/25 : Course Lecturer for Principles of Chemometrics 2023/24 : Course Lecturer for Principles of Chemometrics 2022/23 : Course Collaborator for Principles of Chemometrics 2021/22 : Course Collaborator for Principles of Chemometrics 2020/21 : Course Collaborator for Principles of Chemometrics His research focuses on Chemometrics , Analytical Chemistry , and Applied Spectroscopy , particularly in food authentication and materials characterization. He has developed methods for ethanol quantification in wine using NMR, rice variety classification via hyperspectral imaging, and fermentation monitoring with portable NIR sensors. Collaborative projects include polymer electrolyte optimization and textile waste valorization in biotechnological processes. Recent publications highlight his work on: Food Fraud Detection (Mechanically Separated Meat in processed products) Advanced Spectroscopic Techniques (NMR and NIR applications) Algorithm Development for FESEM image analysis Sustainable Material Processing (Polymer blends, textile waste) Plant-Microbe Interactions (β-ionone's role in mycorrhization)

Chandra L. Reedyمشاهده پروفایل

استاد

• Historic Preservation
• Cultural Heritage Conservation
• Materials Science in Art Conservation
• +۴ مورد دیگر

Chandra L. Reedy is a Professor and Director of the Center for Historic Architecture & Design (CHAD) at the University of Delaware’s Joseph R. Biden, Jr. School of Public Policy and Administration. She oversees the graduate certificate program in historic preservation, teaches courses for the MA in Urban Analytics and Policy, and collaborates with the Asian Studies Program. Her research integrates laboratory analysis with fieldwork in Asia, focusing on cultural materials and intangible heritage. PhD, UCLA (1986) MA, UCLA (1982) BA, UC Davis (1975) Her research spans historic preservation , cultural heritage conservation , and materials science , with a focus on traditional technologies in India, China, Japan, and Cambodia . She employs 3D imaging , petrography , and digital analysis to study ceramic porosity, metalworking, and intangible practices. Recent projects examine Tibetan blacksmithing , coal-clay ceramics , and RTI imaging for conservation. Reedy has authored four books, three edited volumes, and 85 articles, serving as Editor-in-Chief of Studies in Conservation since 2010. Her collaborations extend to the Departments of Anthropology and Art History, emphasizing interdisciplinary approaches to cultural heritage.

BrieAnna Langlieمشاهده پروفایل

دانشیار

• Paleoethnobotany
• Andean Archaeology
• Agricultural Systems
• +۴ مورد دیگر

BrieAnna Langlie is an Associate Professor in the Department of Anthropology at Binghamton University, where she directs the Laboratory of Ancient Food and Farming (LAFF). Her research focuses on paleoethnobotany and Andean archaeology, particularly the sustainability of agricultural systems and foodways in the pre-Hispanic Andes. She holds a PhD from Washington University in St. Louis. Langlie's work emphasizes the co-evolution of humans, plants, and landscapes, with a specialization in ancient agricultural terraces and crop domestication in the Andes Mountains. Her research projects include the Altiplano Agriculture and Communities Project, examining monumental field systems and their relationship to climate change and social complexity. She collaborates with the Collasuyo Archaeological Research Institute (CARI) in Peru and has published widely in journals like Journal of Anthropological Archaeology and Vegetation History and Archaeobotany . Langlie teaches courses on Andean civilizations, archaeological methods, and paleoethnobotany. Langlie’s lab is equipped with advanced microscopy and GIS tools for analyzing plant residues. She actively mentors graduate students in the MA and PhD programs in anthropology. Her recent SPARC award supports data analytics in archaeological studies. She also engages in community projects like the Three Sisters Garden collaboration with the Onondaga Nation.

Paul Campagnolaمشاهده پروفایل

عضو هیئت علمی

• Biomedical Engineering
• Cell Biology
• Medical Imaging
• +۳ مورد دیگر

Paul Campagnola is an Affiliated Professor in the Department of Physics at the University of Wisconsin-Madison. His research focuses on advanced optical imaging techniques, particularly second harmonic generation (SHG) microscopy, to study collagen architecture alterations in diseases such as ovarian cancer, idiopathic pulmonary fibrosis, and lichen sclerosus. He specializes in developing biomimetic models and computational tools to analyze extracellular matrix dynamics and cell-matrix interactions. His work bridges physics, biomedical engineering, and oncology, emphasizing translational applications in diagnostics and therapeutics. Education: No explicit education details provided. Research Interests: Optical microscopy innovations for biomedical applications Collagen structure analysis in disease progression 3D tissue imaging and modeling Machine learning for image data interpretation Recent Research Trends: Recent articles emphasize SHG imaging applications in cancer pathology, fibrotic diseases, and biomaterials. Studies highlight collagen's role as both a structural and functional biomarker, with focus on computational modeling and multiscale imaging techniques. Grants & Advising: No grants or advisees explicitly listed. Active in interdisciplinary collaborations involving physics, engineering, and clinical medicine. Labs & Teams: Engaged in tissue engineering and biophotonics research groups, though specific lab affiliations are not detailed in provided text.