جستجوی استاد راهنمای دانشگاهی

Hang Luمشاهده پروفایل

استاد

• Microfluidics
• Systems Biology
• Neuroscience
• +۶ مورد دیگر

Hang Lu is a Professor and holds the Cecil J. "Pete" Silas Chair of Chemical & Biomolecular Engineering at the Georgia Institute of Technology. Dr. Lu also holds a Love Family Professorship and leads the Lµ Fluidics Group, which focuses on engineering microfluidic systems and machine learning tools to address complex questions in neuroscience, developmental biology, and cell biology that are difficult to address with conventional techniques. Dr. Lu's research lies at the intersection of engineering and biology, with primary interests including: Microfluidic systems for high-throughput screens and image-based genetics and genomics Systems biology: large-scale experimentation and data mining Microtechnologies for optical stimulation and optical recording Big data, machine vision, and automation Developmental neurobiology, behavioral neurobiology, and systems neuroscience Cancer biology, immunology, embryonic development, and stem cells Her laboratory engineers microfluidic devices and BioMEMS to study neuroscience, genetics, cancer biology, and biotechnology. These miniaturized Lab-on-a-chip tools operate at scales comparable to biological systems, leveraging unique micro and nano-scale phenomena to gather large-scale quantitative data about complex biological systems. Current projects include Microfluidics for Life Sciences, Optical Neuron Recordings and Manipulations, Machine Learning Tools for Neuroscience, Measuring and Modeling Behavior, and High-throughput, High-content Cell-based Assays. Analysis of Dr. Lu's recent publications (2024-2025) reveals a strong trend toward integrating microfluidics with advanced computational methods: Development of deep learning frameworks for biological image analysis Advanced neuron tracking and functional imaging techniques Non-invasive characterization of 3D organoid cultures Sophisticated neuromechanical modeling of locomotion Microfluidic temperature control systems for in vivo studies Label-free imaging pipelines for neural development Dr. Lu's significant professional honors include: Cecil J. "Pete" Silas Chair of Chemical & Biomolecular Engineering Love Family Professorship The Lµ Fluidics Group actively mentors students and postdocs, currently accepting new postdoctoral researchers. The lab receives substantial funding for interdisciplinary projects at the engineering-biology interface, with research implications spanning fundamental biological understanding to therapeutic development. The group operates within Georgia Tech's School of Chemical & Biomolecular Engineering, with specialized facilities for microfluidic device fabrication, biological experimentation, and advanced imaging, maintaining strong collaborative ties across engineering, neuroscience, and biological disciplines.

Praneet Prakashمشاهده پروفایل

پژوهشگر

• Biophysics
• Soft Matter Physics
• Statistical Mechanics
• +۳ مورد دیگر

Dr. Praneet Prakash is a Researcher in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, working under Prof. Raymond Goldstein. His research focuses on interdisciplinary approaches combining microfluidics, microscopy, and theoretical physics to study biological systems. Key areas include microbial motility, active matter dynamics, and the interplay between physics and living systems. He utilizes experimental techniques such as microfluidics and advanced microscopy to investigate phenomena like bacterial swimming, nutrient exchange in microbial communities, and growth oscillations in filamentous fungi. His work bridges Soft Matter Physics, Statistical Mechanics, and Biophysics, with applications ranging from understanding microorganism behavior to developing biosensor technologies. Recent studies explore phototactic algae behavior, ciliary surface interactions in animalcules, and adaptive motility in marine microorganisms. Publications highlight contributions to microbial ecology, active matter systems, and biophysical modeling. While no formal awards are listed, his research has been published in high-impact journals like Journal of the Royal Society Interface and Physical Review Fluids . He is affiliated with the Biological Physics and Mechanics research group and maintains an active presence on academic platforms like Twitter and LinkedIn.

Michael J. Azizمشاهده پروفایل

استاد

• Materials Science
• Energy Technologies
• Electrochemical Engineering
• +۴ مورد دیگر

Michael J. Aziz is the Gene and Tracy Sykes Professor of Materials and Energy Technologies at Harvard University's John A. Paulson School of Engineering and Applied Sciences (SEAS). He serves as Area Chair for Materials Science and Mechanical Engineering and is a Faculty Associate at the Harvard University Center for the Environment. His research focuses on electrochemical engineering for energy and environmental applications, including redox flow batteries, carbon capture, and sustainable energy technologies. Aziz leads the Aziz Group, which develops grid-scale energy storage solutions and innovative methods for CO₂ removal. He holds equity in Quino Energy, a startup commercializing his battery research, and serves as Chief Scientist and Board Member. His work bridges fundamental materials science with practical engineering, emphasizing ClimateTech solutions. Key contributions include aqueous organic redox flow batteries, quinone-based carbon capture systems, and wearable energy storage devices. Education & Affiliations: Affiliated with SEAS since joining Harvard, his academic roles include coordinating the Graduate Consortium for Energy and Environment (2009–2018). His lab (Materials Science Group) is located at McKay 504, with administrative support from Sabrina Azinheira. Research Interests: Aziz's group investigates electrochemical energy storage, CO₂ capture via electrochemical systems, and novel materials for sustainable technologies. They employ advanced techniques like operando electrochemical fluorescence microscopy to study porous electrode dynamics and battery degradation mechanisms. Their work emphasizes scalability and real-world applicability, such as grid-scale battery infrastructure and decarbonization strategies. Recent Trends in Publications: Aziz's recent work emphasizes carbon capture innovations (e.g., acid-base concentration swing methods), hydrogen storage under ambient conditions, and electrochemical synthesis of industrial chemicals like hydrogen peroxide. His group also develops open-source tools like RFBzero for battery modeling and explores bioinspired materials (e.g., self-gelling hydrogel batteries). Awards & Recognition: While no personal awards are explicitly listed in the text, his team members (e.g., Dawei Xi) have received accolades such as the 2025 Carbon Future Young Investigator Award. Aziz's contributions have been recognized through industry partnerships and startup ventures. Advising & Industry Impact: Aziz advises PhD students focusing on electrochemical systems (e.g., Jordan Sosa, Tommy George). His industry engagement includes licensing intellectual property to Quino Energy, which achieved a manufacturing milestone in 2024 for grid-scale battery systems. His research bridges academia and industry, addressing climate challenges through technological innovation. Labs & Teams: The Aziz Group includes interdisciplinary researchers from electrochemistry, chemical engineering, and materials science. Collaborators include institutions like MIT and industry partners. Current projects target next-gen batteries, CO₂ removal systems, and scalable energy storage solutions.

Cherie Kaganمشاهده پروفایل

استاد

• Nanostructured materials
• Colloidal nanocrystals
• Quantum dots
• +۷ مورد دیگر

Cherie Kagan serves as the Stephen J. Angello Professor at the University of Pennsylvania, holding primary appointment in the Department of Electrical and Systems Engineering within the School of Engineering and Applied Science, with secondary appointments in Chemistry and Materials Science and Engineering. Her interdisciplinary research bridges chemistry, materials science, and electrical engineering to develop novel functional materials and devices that integrate optical, electrical, magnetic, mechanical, and thermal properties. Professor Kagan's research group combines the flexibility of chemical synthesis and bottom-up assembly with top-down fabrication techniques to design innovative nanomaterials. They employ advanced characterization methods including spatially- and temporally-resolved optical spectroscopies, AC/DC electrical measurements, electrochemistry, and various microscopy techniques. Her recent work demonstrates particular strength in colloidal nanocrystals and quantum dots for applications in quantum information science, sensing technologies, and energy conversion devices. Scientific Recognition Induction to the American Academy of Arts and Sciences (2025) IEEE Fellow (2024) for contributions to colloidal nanocrystals and their integration in optical and electronic devices George H. Heilmeier Faculty Award for Excellence in Engineering (2024-25) Humboldt Research Award Fellowship (2024) MRS Fellow for distinguished research accomplishments in materials science National Academy of Inventors Fellow for innovation in nanomaterials Professor Kagan actively mentors PhD students across multiple departments, with recent graduates including Gary Chen, Chavez Lawrence, and Shobhita Kramadhati. Her research is supported by significant grants including the IoT4Ag project focused on precision agriculture sensing systems. She maintains active collaborations with Nobel Laureate Moungi Bawendi, her former PhD advisor at MIT, and works with institutions including the Max-Planck Institute for Chemical Physics of Solids through her Humboldt Fellowship. The Kagan Research Group operates comprehensive facilities for nanomaterials synthesis, characterization, and device fabrication, combining expertise across chemistry, physics, and engineering disciplines. Current team members include PhD students from Electrical and Systems Engineering and Chemistry departments, postdoctoral researchers like Anamika Singh and Akhila Mallavarapu, and undergraduate researchers supported through programs like CURF.

Vadim Cherezovمشاهده پروفایل

استاد

• Membrane Protein Structure and Function
• G Protein-Coupled Receptors (GPCRs)
• Lipid-Protein Interactions
• +۳ مورد دیگر

Vadim Cherezov, the Ester Dornsife Chair in Biological Sciences and Professor at the University of Southern California (USC), leads groundbreaking research in membrane protein structure and function. Affiliated with the Bridge Institute, Department of Chemistry, and Michelson Center for Convergent Bioscience, his work focuses on GPCRs, ion channels, and transporters—critical targets for drug discovery. His team leverages advanced techniques like Lipidic Cubic Phase (LCP) and Serial Femtosecond Crystallography (SFX) at XFEL facilities to solve high-resolution structures under physiological conditions. Institutional Affiliations: Bridge Institute, USC Michelson Center, Department of Chemistry, Department of Pharmacology and Pharmaceutical Sciences. Key Collaborations: Katritch Lab, Kuhn Lab, NIH, European XFEL. His research explores the role of lipids in modulating GPCR function, addressing diseases like Alzheimer’s, diabetes, and cancer. By solving the structure of the A 2A adenosine receptor via sulfur SAD phasing at XFEL, Cherezov’s lab demonstrated de novo phasing without heavy atoms. This breakthrough enables structural studies of previously intractable membrane proteins. Scientific Awards & Grants: NIH R01 GM108635, U54 GM094618, U54 GM094599, R01 GM095583 Science Signaling Breakthroughs of the Year (2014) Cherezov mentors a dynamic team, including postdocs (e.g., Dong-Gyun Kim), graduate students (e.g., Behnaz Davoudinasab), and alumni (e.g., Benjamin Stauch at Eli Lilly, Nairie Michaelian at Genentech). His lab’s publications span Nature , Science , and Cell , with recent work on Science Advances (2025) addressing ABEL-FRET for GPCR dynamics.

Edoardo Charbonمشاهده پروفایل

استاد

• Ultra High-Speed Optical Sensors
• 3D Optical Sensors
• LiDAR
• +۱۰ مورد دیگر

Edoardo Charbon is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Engineering, where he leads the Advanced Quantum Architecture Lab (AQUA). He also serves on the School Council STI and is Co-Director of STI-SSIQ Administration. Previously, he was a full professor and chair at Delft University of Technology from 2008 to 2016. Charbon received his Elektrotechnik Diploma from ETH Zurich, M.S. from UC San Diego, and Ph.D. from UC Berkeley, all in electrical engineering. His career spans industry experience at Cadence Design Systems and Canesta Inc. before joining EPFL in 2002. His research focuses on ultra high-speed and 3D optical sensors, with applications in LiDAR, FLIM (Fluorescence Lifetime Imaging Microscopy), PET (Positron Emission Tomography), FCS (Fluorescence Correlation Spectroscopy), and NIROT (Near-Infrared Optical Tomography). He has pioneered deep-submicron CMOS SPAD technology, which is now mass-produced and used in smartphones, telemeters, and medical diagnostics. His recent work bridges cryo-CMOS circuits for quantum computing with advanced optical sensing techniques. Analysis of his recent publications reveals a strong trend toward integrating quantum technologies with practical imaging applications. His work spans from fundamental device development (SPAD sensors, cryo-CMOS circuits) to applied systems (LiDAR engines, medical imaging devices), with increasing integration of machine learning techniques for real-time processing. 2023 IISS Pioneering Achievement Award Fellow of the IEEE Distinguished visiting scholar, W. M. Keck Institute for Space at Caltech Fellow, Kavli Institute of Nanoscience Delft Distinguished lecturer, IEEE Photonics Society Professor Charbon has authored or co-authored over 500 papers and two books, and holds 27 patents. His research has been supported by collaborations with organizations including Bosch, X-Fab, Texas Instruments, Maxim, Sony, Agilent, and the Carlyle Group. He has driven significant innovation in CMOS SPAD technology, which is now commercially deployed in various applications. He leads the Advanced Quantum Architecture Lab (AQUA) at EPFL, which focuses on the development of advanced sensor systems combining quantum technologies with conventional electronics. The lab has been instrumental in creating SPAD-based imaging systems that push the boundaries of time-resolved optical detection.

David Vocadloمشاهده پروفایل

استاد

• Bioorganic Chemistry
• Chemical Biology
• Glycobiology
• +۳ مورد دیگر

David Vocadlo is a Distinguished Professor of Chemistry and Molecular Biology & Biochemistry at Simon Fraser University (SFU), holding the Canada Research Chair in Chemical Biology. His research focuses on Chemical Glycobiology, investigating carbohydrate-processing enzymes and developing chemical tools to study glycan roles in health and disease. His lab explores O-GlcNAc signaling, neurodegenerative disorders (e.g., Alzheimer’s, Parkinson’s), and enzyme inhibitors for therapeutic applications. Education: PhD from University of British Columbia (UBC), followed by a CIHR postdoctoral fellowship at UC Berkeley. Key roles include E.W.R. Steacie Memorial Fellow and Royal Society Fellow. Research highlights include O-GlcNAcase inhibitors for neuroprotection, glycan structure-function relationships, and enzyme activity imaging tools. Collaborates globally with experts in glycobiology and employs cutting-edge techniques like chemical synthesis, mass spectrometry, and live-cell imaging. Awards: Distinguished Professor title, Canada Research Chair, Royal Society Fellowship. Active in training researchers through SFU’s graduate programs, emphasizing interdisciplinary approaches. Lab members work on topics ranging from enzyme mechanisms to disease modeling.

Changhuei Yangمشاهده پروفایل

استاد

• Biophotonics
• Microscopy
• Computational Imaging
• +۳ مورد دیگر

Changhuei Yang is the Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering at California Institute of Technology, serving as Executive Officer for Electrical Engineering and Investigator at Heritage Medical Research Institute. He holds a Ph.D. and three master's degrees from MIT, with appointments at Caltech since 2003. Research focuses on: Advanced microscopy techniques including Fourier Ptychography Wavefront shaping for biological tissue imaging Optical phase conjugation for deep-tissue applications Compact medical devices for cerebral monitoring Publications demonstrate leadership in computational imaging, with recent advances in stain-free embryo analysis, portable cerebral blood flow monitors, and high-resolution volumetric imaging techniques using neural representations. Honored as National Academy of Inventors member. Research applications span deep-tissue biochemical imaging, incisionless surgery, and optogenetic activation systems.

Vasilis Ntziachristosمشاهده پروفایل

استاد

• Biomedical Imaging
• Optoacoustic Imaging
• Medical Diagnostics
• +۳ مورد دیگر

Prof. Vasilis Ntziachristos is a Professor and Chair of Biological Imaging at the Technical University of Munich (TUM), leading the Institute of Biological and Medical Imaging at the Helmholtz Centre Munich. His research focuses on developing novel optical and optoacoustic imaging techniques for early disease detection, diagnostics, and theranostics. He holds a PhD in Bioengineering from the University of Pennsylvania and previously served as an Assistant Professor at Harvard University and Massachusetts General Hospital. Affiliations: TUM School of Medicine and Health, Helmholtz Munich, Institute of Biological and Medical Imaging. Key Research Themes: Non-invasive imaging methods, molecular imaging, optoacoustic technology, and clinical translation. His work bridges theoretical developments with clinical applications, including advancements in glucose monitoring, cancer imaging, and drug delivery systems. Notable awards include the Leibniz Prize (2013) and the World Molecular Imaging Society Gold Medal (2015). Labs/Teams: Imaging to Sensing I2S, Optoacoustic Mesoscopy, Fluorescence Imaging, and AI in Optoacoustics. Grants/Projects: Involvement in Horizon Europe initiatives and collaborations with TranslaTUM and Helmholtz Munich. Prof. Ntziachristos actively contributes to education via courses like 'Biological Imaging' and 'Introduction to Bioengineering', fostering the next generation of imaging scientists.

• Machine Learning
• Statistical Learning Theory
• Optimization
• +۳ مورد دیگر

Professor Yiming Ying is a faculty member in the Faculty of Science at the University of Sydney, where he joined in December 2023. Previously, he held tenured positions at SUNY Albany (Departments of Mathematics & Statistics and Computer Science) and was a Lecturer at the University of Exeter. He completed his PhD in Mathematics at Zhejiang University (2002) and postdoctoral training at CityU Hong Kong, UCL, and University of Bristol. Research Focus His research spans statistical learning theory, optimization algorithms, trustworthy AI, and data science mathematics. Key applications include cancer informatics for early detection. His work aligns with Faculty research strengths in Data and Decisions and Decision-Making for a Sustainable Future. Recent Research Trends Analysis of recent publications shows strong focus on theoretical foundations of machine learning: differential privacy, fairness algorithms, optimization methods for AUC maximization, generalization guarantees, and robust learning techniques for adversarial settings and biological data. Awards and Honors SUNY Chancellor’s Award for Excellence (2023) University at Albany Presidential Research Award (2022) University of Exeter Merit Award (2012) Grants and Advising Significant funding includes current ARC DP250101359 (2025-2028) and multiple past NSF grants. He founded the UALBANY Machine Learning Group and currently advises PhD student Peilin LIU on operator learning.

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

Professor Robert McLaughlin is a faculty member in the School of Biomedicine at the University of Adelaide, affiliated with the Faculty of Health and Medical Sciences. He leads the Bioengineering Imaging Group and serves as Managing Director of the start-up Miniprobes. His research focuses on developing optical imaging technologies, including non-invasive tools for blood flow assessment and miniaturized imaging probes. He has secured over $14M in research grants and holds an h-index of 45 with 98 journal papers, 7 patents, and 2 book chapters. Prof. McLaughlin’s career includes roles at the University of Oxford and Siemens Medical Solutions, followed by academic leadership since 2007. His innovations span optical coherence tomography (OCT), fluorescence imaging, and dual-modality systems for clinical applications. Awards include the 2014 WA Innovator of the Year, 2015 Australian Innovation Challenge, and 2016 South Australian Premier’s Research Fellowship. His research emphasizes practical medical solutions, such as imaging needles for deep-tissue diagnostics and optical devices for real-time surgical monitoring. The Bioengineering Imaging Group collaborates with industry and academia to translate technologies into clinical practice.

Jason Rittمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Data Science
• Neuroengineering
• +۳ مورد دیگر

Jason Ritt is an Associate Professor of Brain Science (Research) and Scientific Director of Quantitative Neuroscience at the Robert J. and Nancy D. Carney Institute for Brain Science, Brown University. He holds affiliations with the Data Science Institute and collaborates across disciplines on quantitative research methods. Education : B.S., M.A., and Ph.D. in Neuroscience from Boston University (1997–2003). Research : Focuses on neural processing during active sensing and neuroengineering for neurostimulation. Combines electrophysiology, optogenetics, and theoretical approaches in rodent models. Develops closed-loop systems for studying sensory neural prosthetics and brain-machine interfaces. Key areas include synaptic diversity, neurocontrol algorithms, and sensory restoration. Teaching : Instructs NEUR 2100 NeuroPracticum, integrating hands-on neuroscience research training.

Waldemar Kolanusمشاهده پروفایل

استاد

• Molecular Immunology
• Cell Signaling
• Signal Transduction Pathways
• +۴ مورد دیگر

Prof. Waldemar Kolanus leads the Molecular Immunology and Cell Biology department at the University of Bonn's Life & Medical Sciences Institute (LIMES) . His research bridges immunoregulation , stem cell dynamics , and metabolic stress responses in immune cells. Unit 2 member at LIMES Principal investigator in SFB 704 and ImmunoSensation Cluster Leads a multidisciplinary lab with postdocs, PhD students, and technical staff His work focuses on intracellular signaling pathways connecting immune activation to tissue homeostasis, particularly through: Cytohesin proteins in integrin-mediated adhesion and migration TRIM71 in stem cell regulation and congenital hydrocephalus High-salt environments affecting macrophage function Publication trends show expertise in immune cell migration , genetic models , and chemical inhibition , with frequent use of mice and zebrafish for in vivo studies. Key articles explore: TRIM71's dual role in auditory development and germ cell maintenance Cytohesin family's Golgi regulation and insulin signaling Ruxolitinib's off-target migration inhibition of dendritic cells Contact details: Address: LIMES Institute, Carl-Troll-Straße 31, Bonn Email: kolanus.sekretariat@uni-bonn.de Phone: +49 228 73-62788

Kevin C. Zhouمشاهده پروفایل

استادیار

• Computational Imaging
• Biomedical Engineering
• Optical Systems
• +۳ مورد دیگر

Kevin C. Zhou is an Assistant Professor in the Department of Biomedical Engineering at the University of Michigan. His research focuses on developing high-performance computational optical imaging systems with unprecedented spatiotemporal throughput, integrating advanced optical instrumentation with machine learning-driven algorithms to analyze big data in biology and medicine. His lab specializes in creating imaging systems capable of capturing high-resolution, high-speed, and high-dimensional datasets. Dr. Zhou holds a Ph.D. in Biomedical Engineering from Duke University (NSF GRFP Fellow) and a B.S. in Biomedical Engineering from Yale University (Barry Goldwater Scholar). Prior to joining U-M, he was a Schmidt Science Fellow and postdoctoral researcher at UC Berkeley. Key research areas include: High-throughput microscopy (gigapixel-scale systems) 3D tomographic imaging Light field and Fourier-based imaging modalities Machine learning for image reconstruction and analysis Biomedical applications in cellular/molecular imaging His recent work has advanced technologies like multi-camera array microscopes (MCAM/MCAS) and Fourier light field mesoscopes, achieving video-rate 3D imaging of freely moving organisms. These innovations enable applications in digital cytopathology, behavioral tracking, and high-content biological studies. Notable awards include the NSF Graduate Research Fellowship and Barry Goldwater Scholarship. His research has been featured in top journals and conferences with a focus on advancing optical imaging hardware and computational pipelines.

Long Caiمشاهده پروفایل

استاد

• Spatial Genomics
• Cellular Biology
• Developmental Biology
• +۴ مورد دیگر

Long Cai is a Professor at the California Institute of Technology, affiliated with the Biology and Biological Engineering department. He pioneered the field of spatial genomics and co-developed transformative technologies such as seqFISH and MEMOIR. Research Interests: His work focuses on decoding biological systems through spatial genomics, integrating molecular imaging with computational analysis to uncover cellular organization in tissues. Key areas include developmental biology, neuroscience, kidney regeneration, and cancer biology. Publications: Recent studies highlight applications of spatial transcriptomics in kidney disease, brain nuclear architecture, and multi-omics tissue mapping. His research emphasizes creating high-resolution atlases of cellular dynamics. Scientific Awards: NIH Director’s Pioneer Award (2022) Labs & Collaborations: He leads the Cai Lab, which develops cutting-edge imaging tools in collaboration with the Elowitz Lab and other interdisciplinary teams.