جست‌وجوی استاد و پژوهشگر

Yongxin Zhaoمشاهده پروفایل

دانشیار

• Bioengineering
• Cell and Tissue Engineering
• Diagnostic and Therapeutic Methods
• +۵ مورد دیگر

Dr. Yongxin (Leon) Zhao is an Associate Professor in Biomedical Engineering and Biological Sciences at Carnegie Mellon University's College of Engineering. He leads a research group developing tools for understanding biological systems at the biomolecular level, with a focus on expansion microscopy and optogenetic probes. His work has advanced nanoscale imaging and diagnostic methodologies, supported by grants from NIH, NSF, DoD, and others. Education: B.S., Sun Yat-Sen University (2009); Ph.D., University of Alberta (2014); Postdoctoral Research at University of Alberta (2014). Key achievements include the GECO calcium indicators and QuasAr voltage indicators, and foundational contributions to expansion microscopy (Nature Biotechnology 2017, 2023; Science 2022). Research interests span bioengineering, cell/tissue engineering, and nanotechnology-driven diagnostics. Zhao's lab pioneers applications in neuroscience, cancer, and infectious diseases. Awards include the NIH Director's New Innovator Award (2018–2023) and MIT Translational Fellowship (2015–2016). Collaborations emphasize global technology democratization, with projects ranging from nanofabrication to computational analysis using deep learning. His lab's tools are widely adopted in neurobiology and pathology labs worldwide.

Ian Spoonerمشاهده پروفایل

استاد

• Environmental Change
• Paleolimnology
• Hydrogeology
• +۳ مورد دیگر

Dr. Ian Spooner is a Professor in the Department of Earth and Environmental Science at Acadia University, where he has worked for 31 years. His research focuses on environmental change, surface water-groundwater interactions, and contamination assessment across eastern Canada. Ph.D. in Geoscience (University of Calgary, 1994) M.Sc. in Geology (Queen's University, 1988) B.Sc. (Honours) in Geology (Queen's University, 1984) His scholarly work spans three decades, with recent publications highlighting mercury contamination in seabird soils, sediment dewatering techniques, and paleolimnological tools for pollution assessment. He has developed tidypaleo , an R package for visualizing environmental archives. Key research trends include industrial pollution impacts on coastal ecosystems, long-term contamination records in lake sediments, and geological responses to climate change. His work bridges field studies with computational methods for environmental data analysis. Distinguished Service Award (Atlantic Geoscience Society) 2020 Acadia Faculty Award for Excellence in Teaching 2022 Donald Stanley Award (Canadian Society for Civil Engineering) As Manager of the Morton Centre and coordinator of the M.Sc. Applied Geomatics program, he leads collaborative projects in Nova Scotia, Newfoundland, and British Columbia. Funding sources include NSERC grants and industry partnerships.

Chi Zhouمشاهده پروفایل

دانشیار

• Additive Manufacturing
• Rapid Prototyping
• 3D Printing Technologies
• +۴ مورد دیگر

Chi Zhou is an Associate Professor and Director of Graduate Studies in the Department of Industrial and Systems Engineering at the University at Buffalo. He also holds an adjunct appointment as Adjunct Associate Professor in the Department of Computer Science and Engineering. His research focuses on additive manufacturing, rapid prototyping, and advanced material systems. Zhou has a PhD in Industrial and Systems Engineering (2011) from the University of Southern California, with additional degrees in Computer Science and Industrial Engineering. His work bridges manufacturing processes, material science, and computational methods. Key research areas include inkjet printing process optimization, hydrogel-based 3D printing, thermal insulation materials from agricultural byproducts, and smart material systems like magnetorheological metamaterials. He has pioneered methods for real-time process monitoring and defect detection in additive manufacturing. Zhou’s recent publications emphasize sustainable manufacturing solutions, such as bio-based insulation materials and cost-effective silica aerogel production. His contributions also span energy harvesting (e.g., conductive hydrogel generators) and advanced structural designs using triply periodic minimal structures. He has led interdisciplinary projects integrating digital twins for cyber manufacturing systems and geometric deep learning for mass customization applications.

Yuerui (Larry) Luمشاهده پروفایل

دانشیار

• MEMS/NEMS sensors and actuators
• nano-manufacturing technologies
• renewable energy harvesting
• +۷ مورد دیگر

Yuerui (Larry) Lu is an Associate Professor at the Australian National University (ANU), serving as Program Manager and Chief Investigator at the ARC Centre of Excellence for Quantum Computation and Communication Technology. He holds a Ph.D. from Cornell University (Electrical and Computer Engineering) and a B.S. from the University of Science and Technology of China (Applied Physics). His research focuses on MEMS/NEMS sensors, nano-manufacturing, renewable energy, and quantum materials integration. Key research interests include 2D quantum materials, optoelectronic devices, energy harvesting for flexible electronics, and biomedical sensors. Lu has authored over 100 peer-reviewed articles, with notable contributions in Nature , Nature Communications , and Chemical Reviews . He is an Associate Editor of Scientific Reports and a reviewer for journals like Advanced Materials and Nano Letters . Awards: ACT Young Tall Poppy (2016), DECRA Fellowship (2014), MRS Graduate Student Award (2012). Leadership: Co-founded the ARC Quantum Centre, leading projects in quantum photonics and nanofabrication. His work bridges fundamental physics and applied nanotechnology, with applications in wearable biosensors, renewable energy systems, and quantum communication devices.

Vinh Nguyenمشاهده پروفایل

استادیار

• Advanced Manufacturing
• Industry 4.0
• Human-Robot-Machine Interaction
• +۵ مورد دیگر

Vinh Nguyen is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University, where he directs the Michigan Tech Center for AI and coordinates the NIST-PREP program. His research focuses on advanced manufacturing through Industry 4.0, human-robot-machine interaction, and physics-based/data-driven modeling. He has developed solutions for machining, additive manufacturing, metal forming, and robotic assembly to promote smart and sustainable manufacturing. Prior to joining Michigan Tech in 2022, he was a National Research Council Postdoctoral Fellow at NIST (2020–2022). Dr. Nguyen earned his PhD (2020), MS in Mechanical Engineering (2017), and MS in Electrical & Computer Engineering (2017) from Georgia Institute of Technology. He received dual bachelor’s degrees in Electrical and Mechanical Engineering from Rensselaer Polytechnic Institute (2014). His research portfolio spans Advanced Manufacturing Industry 4.0 and 5.0 Human-Robot Interaction Physics-Based/Data-Driven Modeling Industrial Automation based on his lab’s interdisciplinary focus on human-centric, resilient solutions. His recent publications address trends in Machine Learning for Manufacturing Autonomous Vehicle Sensors Hybrid Additive/Subtractive Manufacturing Augmented/Mixed Reality Interfaces Industrial Robot Diagnostics Material-Specific Machining with keywords spanning Robotics, Data Science, and Industrial Engineering.

Mine Doganمشاهده پروفایل

استادیار

• Environmental Geophysics
• Groundwater Modeling
• Stochastic Hydrology
• +۳ مورد دیگر

Dr. Mine Dogan serves as Assistant Professor of Environmental Geophysics in the Department of Geological and Environmental Sciences at Western Michigan University, with her office located in 1121 Rood Hall (Kalamazoo, MI). She holds a Ph.D. from Michigan State University (2013) and previously held research positions at Clemson University's Department of Environmental Engineering and Earth Sciences. Education: Ph.D., Michigan State University, 2013 Her research integrates geophysics, hydrology, and environmental engineering to investigate subsurface processes using advanced methodologies including drone-based electromagnetic surveys, time-lapse monitoring, and 4D X-ray computed tomography. Key focus areas include tree root hydrology, contaminant transport in groundwater, permafrost characterization, and macropore flow dynamics in heterogeneous soils. Analysis of her recent publications (2018-2024) reveals strong emphasis on unmanned aerial systems for geophysical data acquisition, visualization of fluid transport mechanisms in porous media, and forensic/environmental applications of electromagnetic methods. Recurring themes include the role of biological structures in hydrological processes and innovative approaches to subsurface imaging. Scientific Awards: No awards documented in source material While her advising activities and grant funding remain unspecified in available information, her publication record demonstrates active collaboration across geophysics, hydrology, and environmental engineering disciplines. Laboratory facilities and research team structures are not detailed in the provided texts.

• Neurodegeneration Mechanisms
• Alpha-Synuclein Toxicity
• Parkinson's Disease Pathology
• +۱۲ مورد دیگر

Prof. Dr. Donato Di Monte serves as Group Leader at the German Center for Neurodegenerative Diseases (DZNE) in Bonn, Germany. His laboratory focuses on Parkinson's disease (PD) pathogenesis with emphasis on alpha-synuclein toxicity mechanisms and neurodegenerative processes. Research interests span: Experimental models of PD pathology including viral vector-induced alpha-synuclein overexpression in dorsal motor nucleus of vagus nerve (DMnX) Advanced histological and molecular techniques such as fluorescent in situ hybridization for alpha-synuclein mRNA detection Key mechanisms: mitochondrial failure, protein degradation impairment, microglial activation, and neuron-to-neuron protein transfer Disease risk factors including aging, genetic variants, and environmental exposures Therapeutic strategies: RNA silencing, immunotherapy, and regenerative cell therapy The group bridges PD research with other neurodegenerative disorders to investigate selective neuronal vulnerability and pathological comorbidity. Their work demonstrates how caudo-rostral alpha-synuclein spreading (e.g., from medulla oblongata to pons) triggers microglial activation in aging brains and contributes to neurodegeneration in vulnerable regions like locus coeruleus and substantia nigra. Experimental highlights include: AAV-mediated alpha-synuclein targeting in vagus nerve projections RNA interference showing reduced alpha-synuclein expression in substantia nigra neurons Visualization of alpha-synuclein accumulation in locus coeruleus axons following protein spreading

Lynne Greweمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Lynne Grewe serves as a Professor in the Department of Computer Science at California State University, East Bay, where she maintains active research and teaching responsibilities with current office hours and contact information. Her work bridges theoretical computer science with real-world applications across healthcare, education, and emergency response domains. Her research portfolio centers on three interconnected thrusts: Medical Technology : Development of computer vision systems for stroke detection through facial pattern analysis (StrokeChange), infrared-based disease monitoring, and assistive navigation tools for the visually impaired (Seeing Eye Drone) Educational Innovation : Creation of multimodal systems like ULearn that detect student frustration using deep learning, alongside community college partnerships to broaden participation in computing Sensor Fusion Applications : Integration of multi-modal data for disaster response, infrastructure monitoring, and mobile health platforms using advanced machine learning techniques Publication analysis reveals consistent evolution toward real-time, deployable systems—particularly mobile health applications and educational tools—while maintaining foundational work in sensor fusion. Her 2020-2024 output shows increasing emphasis on healthcare applications (40% of recent work) and educational technology (25%), often combining computer vision with mobile platforms. Grewe demonstrates significant commitment to educational equity through the Faculty in Residence program, collaborating with community colleges to prepare underrepresented students for computing careers. Her Google partnership and focus on practical applications indicate strong industry engagement, though specific grant details aren't documented in source materials. Current projects suggest ongoing expansion into in-situ health monitoring and AI-driven educational support systems.

Jakob Kibsgaardمشاهده پروفایل

استاد

• Catalysis
• Electrocatalysis
• Ammonia Synthesis
• +۵ مورد دیگر

Jakob Kibsgaard is a Surface Physics and Catalysis Professor and Section Leader at the Department of Physics, Technical University of Denmark (DTU). He leads research in the VISION – Center for Visualizing Catalytic Processes and maintains an active research program focused on electrocatalysis, ammonia synthesis, and energy conversion technologies. His research interests span catalysis, electrocatalysis, ammonia synthesis, hydrogen production, CO2 conversion, and nanomaterials. Kibsgaard's work primarily addresses sustainable energy solutions through advanced catalyst design and characterization. His research group investigates fundamental processes at atomic and molecular levels to develop efficient catalysts for energy conversion reactions, with particular emphasis on electrochemical ammonia synthesis and CO2 hydrogenation. Analysis of his recent publications reveals a strong focus on dual and triple atom electrocatalysts, advanced imaging techniques for catalyst characterization, and innovative approaches to ammonia synthesis. His work spans multiple energy conversion reactions including CO2 reduction, nitrogen reduction, oxygen reduction, oxygen evolution, and hydrogen evolution. The research combines experimental approaches with theoretical insights to develop next-generation catalysts for sustainable energy applications. Kibsgaard actively supervises multiple PhD students including Thorlacius-Ussing, Tokman, Wu, Griffin, Kazaz, and Pedersen, with projects spanning controlled synthesis of catalysts, exploration of electrocatalysts at atomic scale, and discovery of new dual and triple atom electrocatalysts. His research is supported by various projects with both active and completed funding. His laboratory work centers around the Surface Physics and Catalysis section at DTU Physics, where he utilizes advanced characterization techniques including transmission electron microscopy, X-ray photoelectron spectroscopy, and custom-designed electrochemical cells to study catalytic processes at fundamental levels.

Barbara AJ Lechnerمشاهده پروفایل

استادیار

• Surface Science
• Catalysis
• Nanomaterials
• +۳ مورد دیگر

Barbara AJ Lechner is a Rudolf Mößbauer Tenure Track Professor in the Department of Chemistry at the Technical University of Munich (TUM). Appointed in October 2020, she leads research in surface science and nanomaterials characterization at TUM's Institute for Advanced Study (TUM-IAS). Her work focuses on understanding dynamic processes in functional nanomaterials under realistic conditions, particularly model catalysts exposed to reactive gas atmospheres. Dr. Lechner received her Chemistry education at the University of Innsbruck, Austria, followed by a Ph.D. in Physics from the University of Cambridge in 2012. Her postdoctoral work was conducted at the Lawrence Berkeley National Laboratory under Prof. Miquel Salmeron before she joined TUM as a group leader at the Chair of Physical Chemistry. Dr. Lechner's research centers on the dynamic restructuring of functional nanomaterials, particularly how model catalysts behave under reactive gas conditions. Using advanced scanning tunneling microscopy with high temporal and spatial resolution, she investigates how the structure of metal clusters and oxide supports changes in real-time. Her work with precisely defined small clusters allows examination of how highly reactive particle structures form, decay, and influence material function. This research has significant implications for catalyst design and optimization. Analysis of Dr. Lechner's recent publications reveals a consistent focus on surface science and catalysis, with particular emphasis on in-situ characterization techniques. Her work spans fundamental surface processes on materials like iron oxide, titanium dioxide, and platinum surfaces, examining phenomena such as cluster sintering, surface reconstruction, and reaction mechanisms under realistic conditions. The integration of advanced microscopy techniques with controlled gas environments represents a distinctive approach in her research portfolio. ERC Starting Grant (2019) Fellow of the Bavarian Academy of Sciences and Humanities as one of the members of their "Young Academy" (2018) Marie Skłodowska-Curie Individual Fellowship (2017-2019) Max Auwachter Prize (2016) Humboldt Research Fellowship (2016-2017) Springer Thesis Prize (2013) Dr. Lechner has secured significant research funding through prestigious grants including the ERC Starting Grant and Marie Skłodowska-Curie Fellowship. Her research group develops and applies advanced microscopy techniques to study dynamic processes in catalytic systems. She collaborates extensively with researchers across TUM and international institutions, particularly focusing on understanding the fundamental mechanisms that govern catalytic activity and material stability under operating conditions. As a Rudolf Mößbauer Tenure Track Professor, Dr. Lechner leads a research group focused on the development and application of in-situ surface characterization techniques. Her laboratory employs scanning tunneling microscopy integrated with controlled gas environments to observe dynamic processes at the atomic scale. This approach allows her team to directly correlate structural changes with catalytic function, providing insights that could lead to more efficient and stable catalyst designs.

Jieyang Chenمشاهده پروفایل

استادیار

• High-Performance Computing
• Big Data Analytics and Visualization
• Distributed Machine Learning
• +۱ مورد دیگر

Jieyang Chen is an Assistant Professor in the Department of Computer Science at the University of Oregon's School of Computer and Data Sciences, where he leads research in high-performance computing and data-intensive scientific applications. His work bridges theoretical computer science with practical solutions for large-scale computational problems. Research Focus: Developing energy-efficient algorithms for CPU-GPU heterogeneous systems Creating fault-tolerant frameworks for scientific computing Designing advanced data compression techniques with error control Optimizing distributed machine learning workflows Dr. Chen's research portfolio demonstrates a consistent focus on performance, reliability, and energy efficiency in scientific computing. His recent publications show increasing sophistication in handling scientific data through techniques like multigrid frameworks, progressive retrieval methods, and adaptive compression algorithms that preserve critical features in climate and other scientific datasets. Education: PhD in Computer Science, University of California, Riverside (2019) MS in Computer Science, University of California, Riverside (2014) BE in Computer Science, Beijing University of Technology Dr. Chen previously worked as a Computer Scientist at Oak Ridge National Laboratory before joining the University of Oregon faculty. His collaborations span national laboratories and industry partners, contributing to real-world applications in scientific computing infrastructure.

Masakazu Yamamotoمشاهده پروفایل

عضو هیئت علمی

• Developmental biology
• Limb patterning
• Skeletal muscle development
• +۳ مورد دیگر

Masakazu Yamamoto is an Assistant Research Professor in the Department of Molecular and Cell Biology at the University of Connecticut, where he has been affiliated with the Center for Regenerative Biology since 2003. His academic career spans institutions in both Japan and the United States, reflecting his deep expertise in developmental and molecular biology. Education 1998 – Ph.D. in Molecular Biology, Nagoya University (Thesis: “Coordinated expression of Hoxa-11 and Hoxa-13 during limb muscle patterning”) 1991–1996 – Graduate studies at Nagoya University and Tohoku University 1991 – M.Sc. in Biology, Tohoku University 1987–1991 – B.Sc. in Biology, Tohoku University Research Interests Yamamoto’s research focuses on the molecular mechanisms underlying limb muscle development and patterning. He investigates how Hox genes, particularly Hoxa-11 and Hoxa-13 , coordinate spatial and temporal gene expression during embryogenesis. His work also delves into the role of transcription factors and signaling pathways in muscle precursor cell fate determination, with implications for regenerative medicine and skeletal muscle biology. Publication Trends His publications from 1992 to 2011 reflect a consistent trajectory in developmental biology, with a strong emphasis on limb development, Hox gene regulation, and muscle patterning. Recent studies include the use of genetically modified mouse models for lineage tracing and the identification of progenitor cells involved in heterotopic bone formation, bridging basic developmental science and translational regenerative biology. Contact & Affiliation Office: Biology/Physics Building G26 Email: masakazu.yamamoto@uconn.edu Phone: 860-486-8717 Address: 91 North Eagleville Road, Unit 3125, Storrs, CT 06269-3125

Pierre Kennepohlمشاهده پروفایل

استاد

• Electronic structure & bonding
• X-ray absorption and emission spectroscopy
• Molecular electron spin qubits
• +۳ مورد دیگر

Pierre Kennepohl is a Professor and Associate Dean (Innovation) in the Faculty of Science at the University of Calgary, Department of Chemistry. He holds a PhD in Physical Inorganic Chemistry from Stanford University (2002) and a BSc in Chemistry from Concordia University. His research focuses on electronic structure & bonding, X-ray absorption/emission spectroscopy, molecular electron spin qubits, and data integrity in chemical analysis. He leads initiatives in Energy Innovations for Today and Tomorrow (2013-2021). His recent work spans catalyst design, halogen bonding mechanisms, and spectral analysis tools like SpectraFit. He advises on chemical education through courses like CHEM 201 and contributes to interdisciplinary collaborations. Research highlights include studies on CO2 reduction catalysts, copper-based antimicrobial materials, and computational modeling of reactive intermediates. His articles bridge theoretical insights with experimental validation, emphasizing sustainable chemistry and advanced spectroscopic techniques. He maintains active labs in SB231 (research office) and SB234 (laboratory).

Shrideep Pallickaraمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Large-Scale Systems
• +۱۲ مورد دیگر

Shrideep Pallickara is a Professor in the Department of Computer Science at Colorado State University, where he also directs the Center for eXascale Spatial Data Analytics and Computing (XSD) . His research is funded by the National Science Foundation, Department of Homeland Security, Environmental Protection Agency, Department of Agriculture, and the UK's e-Science program. Research Interests: His research lies at the intersection of machine learning and large-scale systems, focusing on: Spatiotemporal data management and analytics Extreme-scale storage systems Stream processing for IoT and cyber-physical systems Deep learning over petabyte-scale, high-dimensional datasets Model construction for forecasting natural and urban phenomena His work addresses challenges in computational tractability, resource utilization, and convergence in distributed environments. Systems developed in his lab are deployed in domains such as urban sustainability, agriculture, epidemiology, environmental monitoring, healthcare, and defense. Research Trends in Publications: His recent publications demonstrate a strong focus on scalable analytics for geospatial and environmental data. Key themes include deep learning for soil moisture and salinity prediction, efficient visualization of massive satellite datasets, spatiotemporal search and summarization, and model performance profiling across spatial domains. The work integrates scientific domain knowledge with machine learning and systems innovation. Scientific Awards: NSF CAREER Award Board of Governors Award for Excellence in Undergraduate Teaching OLIE Award N. Preston Davis Award Monfort Professorship Best Paper Award at IEEE/ACM CCGrid 2019 Best Paper Award at BDCAT 2023 Best Paper Award at IEEE Cluster 2012 Best Student Paper Award at IEEE CloudCom 2010 Shortlisted for ACM DEBS-2015 Grand Challenge Award One of the Six Best Papers at ACM/IEEE GRID 2005 Advising and Grants: He advises numerous graduate students, many of whom are co-authors on his publications. His research is supported by major grants from NSF, DHS, EPA, USDA, and UK e-Science, enabling the development of open-source systems such as Granules, NaradaBrokering, Galileo, Funnel, and Spindle. Labs and Teams: He leads the XSD Center, which develops and maintains large-scale open-source software systems involving over 2500 classes and a million lines of code. These systems are used in academic, commercial, and defense applications.

Kelly Sutherlandمشاهده پروفایل

استاد

• Ecology
• Evolution
• Marine Biology
• +۵ مورد دیگر

Kelly Sutherland is a Professor of Biology at the University of Oregon , affiliated with both the College of Arts and Sciences and the Oregon Institute of Marine Biology (OIMB) in Charleston. She holds a Ph.D. from MIT/Woods Hole Oceanographic Institution (2009), an M.S. from the University of South Alabama (2004), and a B.S. from Tufts University (1999). Her research bridges biology and physics, focusing on biomechanics and fluid-environment interactions in marine organisms, particularly gelatinous zooplankton. Education: B.S., Tufts University (1999) M.S., University of South Alabama (2004) Ph.D., MIT/Woods Hole Oceanographic Institution (2009) Sutherland’s lab investigates ecological and evolutionary roles of gelatinous plankton, which are understudied yet critical to marine food webs. Her work emphasizes predator-prey dynamics , multi-jet propulsion , and microbial-grazing interactions , employing in situ video, kinematic analysis, and flow visualization. Recent studies explore colonial salp swimming efficiency, appendicularian particle selection, and ctenophore ecological impacts in open oceanic ecosystems. Research Trends: Recent publications highlight Salp colonial architecture , multi-jet propulsion , microbial prey dynamics , particle surface properties , and hydrodynamic advantages in pelagic organisms . Collaborative themes span biomechanics , ecosystem impacts , and evolutionary adaptations . Advising & Outreach: Dr. Sutherland mentors undergraduate, MSc, and PhD students at both the Eugene campus and OIMB, with lab opportunities in lab/field studies and summer research. She encourages external funding applications and collaborates with environmental studies programs. Outreach includes partnerships with journalists, filmmakers, and artists to communicate science to broader audiences.