جست‌وجوی استاد و پژوهشگر

Lorenzo Di Micheleمشاهده پروفایل

استاد

• Artificial Cells
• Soft Matter
• DNA Nanotechnology
• +۴ مورد دیگر

Lorenzo Di Michele is a Professor of Bionanoscience at the Department of Chemical Engineering and Biotechnology, University of Cambridge. He leads a research group focused on nucleic acid nanotechnology and synthetic cell engineering , applying these tools to create biomimetic systems with applications in biomedicine and fundamental biophysics . Lorenzo completed his PhD in soft condensed matter physics at the Cavendish Laboratory, University of Cambridge, after earning his undergraduate and master’s degrees in physics from the University of L'Aquila (Italy). His academic career includes prestigious fellowships: Oppenheimer Early Career Research Fellowship (2013-2016) Leverhulme Early Career Research Fellowship (2016-2018) Royal Society University Research Fellowship (2018-present) Research interests center on DNA and RNA nanotechnology for synthetic cell engineering , designer condensates , and membrane biophysics . The group develops Amphiphilic DNA/RNA nanostructures Programmable biomolecular condensates Responsive membrane systems Self-assembled biophysical models Non-equilibrium nanoscale systems Scientific achievements include: ERC Starting Grant (2024) Breakthrough publications in Nature Nanotechnology , Journal of the American Chemical Society , and Nature Communications Innovations in DNA-PAINT imaging techniques The lab trains a diverse team of 12 current PhD students and has mentored 8 former postdoctoral researchers and 5 PhD graduates . Funding sources include the Royal Society , European Research Council , and BBSRC .

Ute Hahnمشاهده پروفایل

دانشیار

• Statistics
• Biostatistics
• Neurodegenerative Diseases
• +۵ مورد دیگر

Ute Hahn is an Associate Professor at the Department of Mathematics, Aarhus University . Her research bridges Statistics, Biostatistics, and Neuroscience , with a focus on neurodegenerative diseases like ALS and advanced microscopy techniques . Research Interests: Statistical modeling in ALS and genetic research Stochastic geometry and spatio-temporal analysis Super-resolution microscopy (PALM, STED) Medical statistics and clinical epidemiology Functional data analysis and methodological innovations Selected Publications highlight her interdisciplinary work, including studies on ALS mouse models , microscopy artifacts , and spatio-temporal patterns in medical and environmental contexts . Collaborative Projects: Ute is actively involved in the MechanoGeometry research initiative, which began in 2022 and continues into 2023.

Marc Bramkampمشاهده پروفایل

استاد

• Bacterial Cell Biology
• Microbial Biochemistry
• Cell Division
• +۶ مورد دیگر

Professor Marc Bramkamp is a leading microbiologist at the Institute of General Microbiology , Christian-Albrechts-University Kiel , specializing in bacterial cell biology, chromosome organization, and membrane dynamics. He previously held faculty roles at LMU Munich and the University of Cologne. His research explores the spatio-temporal organization of bacterial cells, focusing on cell division mechanisms (e.g., Min system, ParABS in Corynebacterium), membrane fluidity (flotillins), and phage interactions . Key projects include studying Bacillus subtilis and Corynebacterium glutamicum as models for polar growth and division. Article trends highlight his work on membrane fusion (DynA), chromosome segregation (ParB-CTPase), phage resistance (e.g., prophage-encoded actin-like proteins), and bacterial lipid domains. His publications span biochemistry , cellular microbiology , and antibiotic mechanisms . He leads the Central Imaging Facility at Kiel, advancing super-resolution microscopy (e.g., PALM) for bacterial studies. Collaborations involve DFG-funded projects and interdisciplinary networks in synthetic biology.

• MEMS (Micro-Electro-Mechanical Systems)
• NEMS (Nano-Electro-Mechanical Systems)
• Lab-on-a-Chip (LoC)
• +۱۳ مورد دیگر

Niels Tas is an Associate Professor at the University of Twente, Faculty of Science and Technology, Department of Chemical Engineering, leading the Mesoscale Chemical Systems (MCS) group since 2014. He obtained his MSc (1995) and PhD (2000) in Electrical Engineering, focusing on micro-hydraulics and electrostatic micromotors. His research spans MEMS, NEMS, and Lab-on-a-Chip technologies, emphasizing 3D nanofabrication techniques via corner lithography, anisotropic etching, and convex corner processing. Applications include energy harvesting, biomedical devices (e.g., U-Needle microneedles), chemical analysis, and multi-parameter sensing. 3D nanostructures for mechanical, fluidic, optical, and magnetic domains Capillarity and elasto-capillarity in nanochannels Acoustic resonators and flow sensors Electrochemical sensing with patterned electrodes Recent publications highlight his work on fractal substrates for super-resolution imaging, SERS-active nanostructures, and silicon nanowedge fabrication. He has received awards such as the 2025 Best Poster and 2024 EIPBN Best Journal Paper Award.

• Social Systems Engineering
• Social Informatics
• Artificial Intelligence
• +۳ مورد دیگر

Yuya IEIRI serves as an Assistant Professor (non-tenure-track) at Waseda University's Graduate School of Information, Production, and Systems since 2022. He holds a Ph.D. in Engineering from Waseda University (2021) and has held various research positions including a Visiting Research Fellow at University of Surrey and JSPS Research Fellow. His academic work bridges social systems engineering, information technology, and community development. Dr. IEIRI's research focuses on Social Systems Engineering, Social Informatics, Artificial Intelligence, Human-Computer Interaction, Tourism Informatics, and Internet of Things. His work particularly examines how digital technologies can revitalize commercial districts, analyze tourist behavior, and create value in local communities. His research employs network science, augmented reality applications, and consumer behavior analysis to address real-world community challenges. His publication record demonstrates consistent output with 31 papers indexed in Scopus (60 citations, h-index 4) and 98 citations in Google Scholar (h-index 5, i10-index 3). His recent work shows a clear trajectory toward analyzing second-hand luxury markets using network motif analysis, community management in low-digitalized environments, and tourism resource development. Notable Awards: Teaching Award (Spring 2022) and 2023 Waseda University Technical Writing & Presentation Multiple Best Presentation Awards at international conferences (2020-2022) 7th FOST Newcomer Award (2020) Azusa Ono Memorial Award from Waseda University (2019) Dr. IEIRI actively contributes to academic service as a peer reviewer for the International Conference on Collaboration Technologies and Social Computing and as a navigator for the Kitakyushu Future Creation Seminar. He has received research funding from JST PRESTO, JSPS Grants-in-Aid, and other foundations to support his work on social capital development, tourist route design, and community computing systems. His teaching portfolio includes Probability and Statistics, Fundamentals of Industrial and Management System Engineering, Technical Writing & Presentation, and Special Exercises in Community Computing at Waseda University's Graduate School of Information, Production, and Systems.

• Trustworthy AI
• Medical Imaging
• Data Science
• +۶ مورد دیگر

Xiaofeng Liu is an Assistant Professor at Yale School of Medicine with joint appointments in Radiology & Biomedical Imaging and Biomedical Informatics & Data Science . He is an Associate Member at the Broad Institute of MIT and Harvard , and actively engaged in editorial roles as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and Journal of Medical Internet Research . His research spans trustworthy AI , medical imaging , and data science with applications in disease diagnosis and treatment monitoring. His research focuses on generalizable AI models for medical imaging, particularly in domain adaptation , diffusion models , and multimodal analysis . Recent work trends include AI-driven oncology (e.g., glioblastoma survival prediction), medical image enhancement (super-resolution, PET denoising), and clinical decision systems for Crohn's disease and depression detection. Collaborations with Georges El Fakhri and Jinsong Ouyang demonstrate cross-disciplinary approaches. 2025 Robert F. Wagner Best Student Paper Finalist Award 2024 Trailblazer R21 NIH Award 2024 NSF NAIRR Pilot Award 2024 Google Cloud Research Credits The Xiaofeng Liu Lab (Whisk Cup) develops AI methods for biomedical imaging, affiliated with the Yale Biomedical Imaging Institute and Center for Brain & Mind Health . The lab trains students in deep learning , medical image analysis , and health informatics .

• Structural Biology
• Computational Biology
• Super-Resolution Microscopy
• +۴ مورد دیگر

Jonas Ries is a Professor at the University of Vienna, affiliated with the Department of Structural Biology and Computational Biology. His research focuses on super-resolution microscopy, cryo-electron microscopy, and structural analysis of cellular components. Department: Structural Biology and Computational Biology Specialization: Nuclear pore complex architecture, MINFLUX nanoscopy, fluorescent labeling. His recent work includes 2025 projects on mitochondrial fission during apoptosis via SMLM and MINFLUX, and developing a cost-effective MINFLUX microscope. He collaborates internationally, with a focus on nuclear pore complexes and artificial intelligence applications in microscopy. 2024 contributions highlight advancements in 3D MINFLUX excitation, dynamic structural biology, and synaptonemal complex analysis in C. elegans. His projects often involve computational modeling and high-throughput imaging. Research Trends Recent publications emphasize super-resolution techniques (MINFLUX, SMLM), PSF inverse modeling for microscope calibration, and nuclear pore complex dynamics. Subfields include apoptosis mechanisms, clathrin coat bending, and AI-driven image analysis. Academic Engagement He participated in the Dies Academicus event at the University of Vienna in 2024, indicating active involvement in academic community activities.

Elias Puchnerمشاهده پروفایل

دانشیار

• Biophysics
• Cellular Signaling
• Single Molecule Microscopy
• +۵ مورد دیگر

Elias Puchner is an Associate Professor in the School of Physics and Astronomy at the University of Minnesota. His research focuses on the intersection of physics and biology, specifically studying cellular signaling processes using advanced microscopy techniques. He is based in the Physics and Nanotechnology Building at the University of Minnesota's Minneapolis campus. Dr. Puchner's research investigates how cells sense environmental signals such as physical forces or small molecules, and how these signals are processed by intracellular signaling networks. His work spans multiple length scales - from mesoscopic structures like protein complexes and organelles to nanoscopic protein conformational changes. He employs quantitative super-resolution microscopy to resolve cellular structures below the optical diffraction limit and uses atomic-force microscopy based single molecule force spectroscopy to study protein dynamics. His recent publications demonstrate expertise in single-molecule and super-resolution microscopy techniques applied to diverse biological questions including protein dynamics, autophagy initiation, chromatin structure, and lipid metabolism. His work consistently develops novel imaging approaches that push the boundaries of what can be visualized in living cells. Dr. Puchner has secured significant research funding including an active NIH grant studying lipid droplets and subcellular metabolism (2023-2027) as Co-Investigator, and a previously completed NIH grant developing diffusion-contrast super-resolution microscopy (2018-2021) as Principal Investigator. He actively mentors students through his laboratory research and participates in the National Science Foundation's Research Experience for Undergraduates (REU) and Research Experience for Teachers (RET) programs, demonstrating commitment to scientific education and outreach. The Puchner Lab (http://puchnerlab.umn.edu) combines synthetic biology, genetic engineering, and molecular biology with their specialty in quantitative single-molecule super-resolution microscopy to investigate the biophysical principles of cellular signaling networks, connecting single molecule behavior to whole cell responses.

• 3D Computer Vision
• Robotics
• Neural Radiance Fields
• +۴ مورد دیگر

Shenlong Wang is an Assistant Professor at the Department of Computer Science, University of Illinois at Urbana-Champaign (UIUC), with affiliations to Computer Vision @ UIUC , Illinois Robotics Group , and the Center for Immersive Computing @ UIUC . He holds a PhD in Computer Science from the University of Toronto and previously worked as a Research Scientist at Uber under Raquel Urtasun. His research bridges 3D computer vision with robotics, focusing on algorithms for 3D world perception, physics-informed simulations, and applications in autonomy, immersive computing, and climate change-related domains. Education : PhD in Computer Science (University of Toronto), prior academic positions at Uber His group has produced 42 publications (15 shown) across top venues like CVPR , NeurIPS , ICRA , and CoRL , with recent work on 4D modeling, inverse rendering, and physics-grounded generation. Awards include the NSF CAREER , Dean's Award for Excellence in Research , and Amazon Research Award . He teaches CS598: 3D Vision and CS446: Machine Learning, and mentors PhD students in areas spanning 3D vision, robotics, and AI. Scientific Awards : Dean's Award for Excellence in Research (2025) NSF CAREER Award (2024) Amazon Research Award (2022) CVPR Best Paper Candidate (2021) IROS Best Application Paper Finalist (2020) Grants from NSF Foundational Research in Robotics , Meta Research , and NVIDIA support his work on digital twins, radar perception, and generative models. His lab collaborates with institutions like Tsinghua University, Peking University, and industry partners including NVIDIA and Meta.

• Archaeal Cell Biology
• Microbiology
• Molecular Genetics
• +۳ مورد دیگر

Dr. Yan Liao is a Chancellor's Postdoctoral Research Fellow, Independent PI, and Group Leader at the Australian Institute for Microbiology & Infection, University of Technology Sydney (UTS). Her research focuses on archaeal cell biology and biotechnology, with expertise in archaeal molecular biology, gene editing, and imaging techniques such as super-resolution fluorescence microscopy and electron microscopy. Dr. Liao's work has led to breakthroughs in understanding archaeal cell division and adaptation mechanisms, contributing significantly to the field of microbiology. Education: She earned her PhD in Microbiology and Immunology at the University of New South Wales under Prof. Rick Cavicchioli, where she pioneered gene transfer systems in psychrophilic haloarchaea. Postdoctoral research at UTS under A/Prof Iain Duggin further advanced her studies on archaeal cell structure and cytoskeleton dynamics. Research Interests: Archaeal molecular mechanisms, biotechnological applications of archaea, and imaging technologies. Key contributions include the discovery of new cell division systems in Archaea and the development of innovative molecular tools for archaeal research. Awards & Recognition: Her work ranks top 2% in Faculty Opinions (Cell Biology) and top 5% in Altmetric. Highlighted in Nature , Nature Reviews Microbiology , and over 20 news outlets. Recipient of the UTS Chancellor’s Research Fellowship (2022–2026). Grants & Funding: Lead CI for multiple grants including UTS Mid-Career Capability Development Initiative (2023), UTS Faculty of Science Seed Funding (2020–2023), and Blue Sky Research Grant (2022). Outreach & Mentorship: Active in public science outreach through events like Soapbox Science and STEM Sister mentoring programs. Collaborations include global institutions such as MRC Laboratory of Molecular Biology (UK) and Max Planck Institute (Germany).

Raechel Portelliمشاهده پروفایل

عضو هیئت علمی

• Geographic Information Science
• Remote Sensing
• Cognitive Geography
• +۶ مورد دیگر

Raechel Portelli is a Teaching Assistant Professor at the University of Illinois' Department of Geography & Geographic Information Science, housed within the College of Liberal Arts & Sciences. Her research bridges cognitive science, remote sensing, and geospatial methodologies, focusing on expertise in image interpretation, vertical viewing, and landscape analysis. She holds a PhD from Pennsylvania State University and prior degrees from the University of Idaho, including a dual BS in Physical Geography and Environmental Science with a thesis on shoreline change detection using IKONOS imagery. Her academic work emphasizes the intersection of human cognition and geospatial technologies, with notable contributions to remote sensing human factors research, forest disturbance characterization, and the historical evolution of air photo interpretation. She teaches quantitative methods in geography and advises students on topics like sentiment analysis and geostatistical techniques. Her publications span interdisciplinary themes including image analysis ethics, UAS-based environmental monitoring, and LiDAR applications in urban forestry. Portelli's research trends highlight a focus on integrating historical methodologies with modern technologies, particularly exploring how cognitive processes influence remote sensing outcomes. Her work often critiques and recontextualizes traditional practices within contemporary GIS frameworks. She actively collaborates on projects combining imagery, landscape history, and change detection. Labs/Teams: Affiliated with the Online Graduate Programs in CyberGIS and Geospatial Data Science at Illinois. Her teaching and research activities are centered in the Natural History Building, Urbana campus.

• Biomedical imaging
• Learning-based image reconstruction
• Computational imaging science
• +۳ مورد دیگر

Seonyeong Park is a Research Assistant Professor in the Department of Bioengineering at the University of Illinois Urbana-Champaign (UIUC), holding this position since January 2024. Previously, they served as a Research Scientist (2023–2024), Postdoctoral Research Associate (2019–2023), and held postdoctoral roles at Washington University in St. Louis (2017–2019). Education: PhD in Electrical and Computer Engineering from Virginia Commonwealth University (2017), M.S. and B.S. in Information and Communications Engineering from Pukyong National University (2013 and 2011, respectively). Research Focus: Specializes in biomedical imaging, particularly learning-based image reconstruction, computational modeling of biological tissues, and photoacoustic computed tomography. Key interests include optimizing optical fluence distribution in breast imaging, developing stochastic numerical phantoms for computational studies, and addressing clinical challenges in transcranial imaging. Key Contributions: Over 15 peer-reviewed publications in top journals/conferences like Photoacoustics , Journal of Biomedical Optics , and SPIE conferences. Notable work includes: Benchmarking deep learning approaches for photoacoustic reconstruction Developing numerical phantoms for breast cancer imaging Aberration correction methods in transcranial imaging Awards: 2022 Innovator Award (AWIS-CAC) Seno Medical Best Paper Award (2022) Professional Activities: Member of SPIE and Association for Women in Science. Active in invited lectures on optoacoustic tomography and imaging trials.

Ying Zhuمشاهده پروفایل

مدرس ارشد

• Biosensors
• Nanotechnology
• Biomedical Engineering
• +۵ مورد دیگر

Dr. Ying Zhu is a Senior Lecturer at the School of Biomedical Engineering, University of Technology Sydney (UTS), and the group leader of the Laboratory of In-Vitro NanoDiagnostics. She holds a PhD in optical biosensors from UNSW (2011–2015), supervised by Prof. Justin Gooding, and completed postdoctoral research at Dartmouth College’s Thayer School of Engineering (2015–2017). Her research focuses on advancing diagnostic technologies using nanoplasmonic biosensors and extracellular vesicle analysis for cancer detection. She has secured ~$2 million in grants, including the ARC DECRA (2024) and Cancer Institute NSW Fellowship (2017–2020). Dr. Zhu’s expertise spans nanotechnology, biomedical engineering, and translational cancer research. Her work bridges lab-to-clinic applications, emphasizing clinical translation of biosensors and liquid biopsy techniques. Notable achievements include a highly cited paper in Clinical Medicine (2025) and 31 publications in top-tier journals (82.6% in top 10% journals, H-index 19). Education: PhD in Optical Biosensors (UNSW), Postdoc at Dartmouth College Awards: ARC DECRA, Cancer Institute NSW Fellowship Labs: Laboratory of In-Vitro NanoDiagnostics Teaching: Co-coordinates Biomedical Engineering courses (41160/42721) Her research portfolio includes funded projects on optical metasurfaces, nanoplasmonic sensors, and exosome-based diagnostics. Recent articles highlight innovations in quantum sensors, single-vesicle analysis, and cancer biomarker detection.

Colenso Speerمشاهده پروفایل

دانشیار

• Neural Circuit Development
• Visual System Maturation
• Synaptic Connectivity
• +۱ مورد دیگر

Colenso Speer is an Associate Professor in the Department of Biology at the University of Maryland. His research examines molecular-genetic programs and activity patterns that drive neural circuit maturation in the mammalian visual system. The Speer Lab investigates structure/function relationships in visual microcircuits using genetic labeling, electrophysiology, and advanced imaging techniques. Recent work focuses on synaptic clustering mechanisms underlying eye-specific competition and proteomic transitions during circadian pacemaker development. Key methodologies include volumetric super-resolution imaging (STORM), 3D-STORM tissue imaging, and computational analysis of neural architecture. Research aims to advance understanding of neurodevelopmental disorders and therapeutic approaches.

• Neurodegeneration
• Protein Aggregation
• Endogenous Retroviruses
• +۲ مورد دیگر

Dr. Dezerae Cox is a Lecturer in Cell & Molecular Bioscience and Senior Research Fellow at the University of Wollongong's Molecular Horizons Institute. Her NERVLAB research team investigates the role of endogenous retroviruses in neurodegeneration, particularly motor neuron disease, using affinity-directed proteomics and single-molecule super-resolution microscopy. She developed novel biosensors for proteostasis monitoring during her postdoctoral work at Cambridge and Melbourne. She holds an NHMRC Investigator Grant and ARC DECRA for studying human endogenous retroviruses. Dr. Cox received the 2024 Vice Chancellor's Award for Emerging Researcher of the Year and coordinates the UOW Health & Medical Research Academy.