جست‌وجوی استاد و پژوهشگر

Gregory Heyworthمشاهده پروفایل

دانشیار

• Medieval Studies
• Textual Science
• Codicology
• +۷ مورد دیگر

Gregory Heyworth is an Associate Professor of English and Director of the Lazarus Project at the University of Rochester. He holds secondary appointments in History and Computer Science. His work bridges traditional textual scholarship (paleography, codicology) with modern technologies like spectral imaging and machine learning to recover damaged manuscripts and cultural artifacts. His research emphasizes manuscript recovery, book history, cartography, and classical influences on medieval literature. Key projects include the Vercelli Schoolroom Project, Dresden Baroque Music Project, and work on the 1492 Martin Behaim Globe. He has directed global initiatives such as analyzing Bronze Age cave paintings in Spain and medieval icons in Georgia. Heyworth’s grants include NEH and Kress Foundation funding, and his book *Desiring Bodies* received the Choice Outstanding Academic Title (2010). Education: PhD, Princeton University Labs/Teams: Lazarus Project (multidisciplinary manuscript recovery) Teaching: Integrates digital tools for textual analysis His work spans 8+ published articles and books, focusing on recovering lost texts and democratizing access to cultural heritage. Current research includes multispectral imaging applications and collaborative global heritage preservation.

Weihong Guoمشاهده پروفایل

استاد

• Mathematical Image Analysis
• Inverse Problems
• Scientific Computing
• +۳ مورد دیگر

Professor Weihong Guo holds the position of Professor and Chair in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University. His research focuses on Mathematical Image Analysis, Inverse Problems, Scientific Computing, and Computer Vision, with significant contributions to medical imaging and computational mathematics. His work emphasizes developing advanced algorithms for image segmentation, denoising, and reconstruction, often integrating deep learning with traditional variational methods. Notable applications include lung nodule detection, MRI muscle segmentation, and quantum tensor decomposition in biomedical contexts. Guo’s research also extends to graph signal processing, dynamic network analysis, and sparse recovery techniques. He has published extensively in top-tier journals and conferences, demonstrating a strong interdisciplinary approach bridging applied mathematics, computer science, and biomedical engineering.

Cedric Fichotمشاهده پروفایل

استادیار

• Marine Biogeochemistry
• Remote Sensing
• Aquatic Optics
• +۴ مورد دیگر

Cédric Fichot is an Assistant Professor of Earth & Environment at Boston University. His research focuses on estuarine and coastal biogeochemistry , combining marine optics, remote sensing, organic geochemistry, and photochemistry to understand land-ocean interaction dynamics under climate and human influences. Specializes in UV radiation effects on carbon cycling Develops remote sensing techniques for aquatic environments Studies carbon fluxes in river-influenced ocean margins His lab employs fieldwork, lab experiments, remote sensing data analysis , and mechanistic modeling to investigate processes like terrestrial carbon mineralization and sediment dynamics in coastal systems. Current projects align with NASA missions including PACE , GLIMR , and Delta-X . Key research outputs include mass balance approaches for carbon mineralization quantification and photochemical reaction rate calculations . The lab actively contributes to seagrass habitat modeling and coastal vulnerability assessments .

• Digital Watermarking
• Neural Representation
• Copyright Protection
• +۵ مورد دیگر

Renjie Wan is an Assistant Professor in the Department of Computer Science at Hong Kong Baptist University. He holds a BEng from the University of Electronic Science and Technology of China (2012) and a Ph.D. from Nanyang Technological University (2019). His research focuses on digital watermarking, neural representation, copyright protection, and AI security, with notable contributions in computational photography and image processing. He has received awards including the Microsoft CRSF Award and VCIP 2020 Best Paper Award. His academic journey includes a Wallenberg-NTU Presidential Postdoctoral Fellowship (2020–2022). He currently advises Ph.D. students in areas like neural radiance field watermarking and backdoor attack mitigation. Teaching responsibilities include courses on AI application development and Python for data analysis. Research Projects: Developing multispectral imaging algorithms for coastal surveillance Dynamic environment reflection separation techniques Face image reflection removal using neural radiance fields Awards: Meritorious Winner at Mathematical Contest in Modeling 2023 Silver Medal of 50th International Exhibition of Inventions Geneva His lab focuses on advancing AI security and 3D content protection through innovative techniques like neural radiance field watermarking and adversarial defense mechanisms.

Iluju Kiringaمشاهده پروفایل

استاد

• Databases
• Peer-to-Peer Systems
• Artificial Intelligence
• +۳ مورد دیگر

Iluju Kiringa is a Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa. He holds a Ph.D. from the University of Toronto and advanced degrees from the University of Bonn. His research focuses on Databases, Peer-to-Peer Systems, and Artificial Intelligence with specializations in IoT data management, computational complexity, and environmental data modeling. He has taught numerous graduate and undergraduate courses including CSI5140 (Computational Complexity) and CSI3130 (Databases II), and has developed the Hyperion peer database system. His work emphasizes practical applications such as smart farming systems and cybersecurity in IoT. Key projects include the Ottawa Area XO Smart Farming Research Fields and the Business Intelligence Network. His research has led to advancements in federated learning, adversarial robustness in neural networks, and predictive maintenance algorithms. Kiringa’s work bridges theoretical computer science with real-world challenges in agriculture, environmental science, and distributed systems.

Sarah Cohenمشاهده پروفایل

دانشیار

• Lipid Trafficking
• Cell Biology
• Neurodegenerative Diseases
• +۳ مورد دیگر

Sarah Cohen, PhD, is an Associate Professor in the Department of Cell Biology and Physiology at the UNC School of Medicine. Her research focuses on lipid trafficking and organelle dynamics using advanced microscopy techniques such as live-cell imaging and superresolution microscopy. The Cohen Lab investigates how lipid transport between cells contributes to metabolic and neurodegenerative diseases, with particular emphasis on astrocyte-neuron interactions and lipid droplet biology. Educated at the University of British Columbia (BSc, PhD), Cohen completed postdoctoral training at the NIH. Her work has been supported by prestigious awards including the NIH K99/R00 Pathway to Independence Award and the Fellows Award for Research Excellence from NIH. Key research themes include: lipid droplet-mitochondria interactions, APOE function in the brain, and membrane contact site dynamics. Her lab employs cutting-edge tools like Contact-FP fluorescent proteins and quantitative proteomic profiling to study organelle behavior under stress. Current funding partners include the National Institutes of Health, Chan Zuckerberg Initiative, Alzheimer’s Association, and Paul G. Allen Frontiers Group. Recent lab highlights include breakthroughs in understanding APOE’s role in lipid droplet modulation and the development of novel imaging protocols for fatty acid trafficking. Lab Awards: Over 10 major grants including NIH, NSF, and foundation support Recent Achievements: 2024 paper on APOE trafficking in astrocytes, 2023 study on PLIN5/FATP4 interactions Lab infrastructure includes state-of-the-art microscopy facilities and collaborations with the UNC Neuroscience Center. Future work aims to bridge lipid biology with novel therapeutic strategies for neurodegenerative diseases.

• Geohazards
• Land Degradation
• Earth Observation
• +۵ مورد دیگر

Prof. Steven de Jong is a Vice Dean of Research and Professor of Physical Geography at Utrecht University’s Faculty of Geosciences. His research focuses on Geohazards, Land Degradation, Earth Observation, and Remote Sensing applications. He leads projects on landslide displacement modeling, drought impacts, and environmental monitoring using satellite imagery and geospatial technologies. His work integrates field studies (e.g., Nepal, Ethiopia, France) with computational methods, including machine learning for ecological analysis and disaster risk reduction. Education: PhD in Physical Geography (Utrecht University, 1994), MSc in Soil Physics/Remote Sensing (Wageningen University). Key Roles: Chair in Physical Geography (since 2001), Head of Department of Physical Geography (2015–2021), Visiting Scientist at NASA JPL (1995–1996). Research interests include spatio-dynamic modeling of land degradation, hydrology, and geo-computation. He pioneered the use of drones and imaging spectroscopy for environmental assessment, with fieldwork in arid and alpine regions. His work spans international collaborations, addressing issues like Aral Sea desertification and plague mapping in Kazakhstan. Publications emphasize satellite remote sensing applications in landslide monitoring, coastal dynamics, and vegetation analysis. Awards include the NWO Talent Stipend and Teacher of the Year (1993). He co-edited books on remote sensing image analysis and imaging spectroscopy, contributing to both academic and applied geoscience domains.

Vincent Morelمشاهده پروفایل

مدرس

• Egyptology
• Ancient Egyptian Inscriptions
• Rock Art Analysis
• +۷ مورد دیگر

Vincent Morel is a Postdoctoral Associate and Lecturer in Egyptology at Yale University's Department of Near Eastern Languages & Civilizations. He specializes in the study of Pharaonic rock inscriptions, particularly those in the Eastern Desert of Egypt, focusing on interdisciplinary approaches that integrate semiotics, visual studies, geology, and experimental archaeology. His research centers on the Wadi Hammamat quarries, examining their inscriptions' spatial, visual, and intertextual dimensions. Education: B.A., University of Nantes (2014) M.A., Sorbonne University (2016) PhD, University of Geneva/École Pratique des Hautes Études (2021) Research Interests: Morel's work explores graphic investments in desert landscapes, emphasizing how inscriptions reflect human dynamics of circulation and territorial appropriation. Key themes include expeditionary texts, writing practices in liminal spaces, and the interplay between text and environment. His projects integrate archaeological survey, epigraphy, and digital humanities to spatialize data and analyze long-term cultural narratives. Awards & Grants: Jacques Vandier Grant (Académie des Inscriptions et Belles-Lettres) Fondation Gandur pour l’Art Grant Swiss National Science Foundation Project (2016–2020) Collaborations & Grants: Co-leads major publications on Wadi Hammamat inscriptions with Annie Gasse and Jean-Guillaume Olette-Pelletier (CNRS/Sorbonne) and a rock art project with Jonathan Maître and Dorian Vanhulle. Current projects include the 'Landscape Laboratories' initiative, digitizing Fernand Debono's archives and spatializing data on desert occupation. His work engages with ERC-funded Desert Networks Atlas for collaborative spatial analysis. Labs/Teams: Member of the Hatnub Epigraphic and Archaeological Project (Yale/Oxford collaboration). Active in multidisciplinary teams for Wadi Hammamat research, combining fieldwork, philology, and digital humanities.

• Orbital Dynamics
• Uncertainty Quantification
• Autonomous Navigation
• +۶ مورد دیگر

Dr. Jinglang Feng is a Senior Lecturer in the Mechanical and Aerospace Engineering department at the University of Strathclyde , within the Faculty of Engineering. Her research focuses on advanced aerospace systems, including orbital dynamics, uncertainty quantification, autonomous navigation, and space robotics. She holds a PhD in Aerospace Engineering from Delft University of Technology and has conducted postdoctoral research at Nanjing University and the Purple Mountain Observatory. Her work addresses challenges in space sustainability, such as asteroid deflection, active debris removal (ADR), and in-orbit servicing (ISAM). Education: Ph.D. in Aerospace Engineering, Delft University of Technology (Focus: Nonlinear Dynamics Modelling) Postdoctoral Researcher, Nanjing University and Purple Mountain Observatory Research Interests: Irregular Gravity Modelling Resonance Dynamics and Chaos Estimation AI-Based Sensor Fusion and Autonomous Navigation Space Robotics and Robotic Arm Control Key awards include the 2023 Robust Trajectory Design Award (Hera Mission) and 2022 Excellent Reviewer for the Journal of Guidance, Control, and Dynamics. She actively contributes to professional organizations like the International Astronautical Federation (IAF) Astrodynamics Committee. Her projects include leading initiatives on AI-driven space operations (A14S3), solar power satellite analysis (SOLERO), and sensor fusion for asteroid navigation. Current research emphasizes sustainable space technologies, such as robotic arm control for debris removal and AI-enhanced navigation systems.

Michael Kudenovمشاهده پروفایل

استاد

• Optical Engineering
• Biomedical Imaging
• Remote Sensing
• +۵ مورد دیگر

Michael Kudenov is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on developing novel imaging systems, interferometers, detectors, and anisotropic materials for polarization and spectral sensing applications across ultraviolet to thermal infrared wavelengths. Key areas include biomedical imaging, remote sensing, food safety, and atmospheric monitoring. He holds a Ph.D. in Optical Sciences from the University of Arizona (2009) and a B.S. in Electrical Engineering from the University of Alaska Fairbanks (2005). Education: Ph.D. Optical Sciences, University of Arizona (2009) M.S. Optical Sciences, University of Arizona (2007) B.S. Electrical Engineering, University of Alaska Fairbanks (2005) Dr. Kudenov’s research interests center on advancing snapshot imaging systems to maximize spatial, spectral, and polarimetric data capture. Recent work includes hyperspectral imaging for crop phenotyping, AI-driven disease detection in plants, and flexible organic photodetectors for continuous environmental sensing. He has authored 13 journal articles, 15 conference proceedings, and patents in optical systems design. His funded projects include high-throughput phenotyping for peanut leaf spot resistance and collaborations with agricultural stakeholders. Awards include the 2023 SPIE Fellowship, 2021 University Faculty Scholar recognition, and the 2009 UA Graduate Valedictorian honor. He actively mentors students in undergraduate and graduate research, emphasizing interdisciplinary applications of optical engineering. Notable contributions include a bio-inspired spectropolarimetric sensor and Mueller matrix imaging systems for plant health monitoring. His lab develops technologies for field-deployable platforms, advancing precision agriculture and environmental monitoring through innovative optical instrumentation.

Edgar Lobatonمشاهده پروفایل

استاد

• Machine Learning
• AI
• Cyber-Physical Systems
• +۶ مورد دیگر

Edgar Lobaton is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University (NC State). He holds a B.S. in Mathematics and Electrical Engineering from Seattle University (2004) and a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley (2009). His research integrates AI, probabilistic modeling, and cyber-physical systems for applications in wearable health monitoring, rehabilitation robotics, agriculture, and biological imaging. He has led projects at Alcatel-Lucent Bell Labs and the University of North Carolina at Chapel Hill. Lobaton is an IEEE Senior Member and advisor to the Embedded Machine Learning Club. Key awards include the NSF CAREER Award (2016), William F. Lane Outstanding Teaching Award (2023), and University Faculty Scholars Award (2024). His work spans grants focused on wearable sensors for asthma monitoring, plant health diagnostics, and automated microscopy systems. He emphasizes interdisciplinary collaboration, with projects involving robotics, environmental sensing, and medical devices. Professional involvement includes leadership roles in IEEE and SACNAS, reflecting his commitment to diversity in STEM. His lab develops innovative solutions for precision agriculture, wearable health systems, and bio-inspired robotics, with a focus on translating research into practical applications for healthcare and environmental sustainability.

Rob Richardsonمشاهده پروفایل

استاد

• Aquatic Weed Management
• Invasive Plant Biology
• Environmental Sustainability
• +۳ مورد دیگر

Rob Richardson is a Professor and Extension Specialist in Aquatic and Non-Cropland Weed Science at North Carolina State University's Department of Crop Science. His role combines 60% research and 40% extension, focusing on integrated management of aquatic weeds and invasive plants in non-cropland areas. He leads research on herbicide efficacy, drone-based application systems, and sustainable ecosystem restoration. Key research areas include invasive species biology, pesticide application technology, and environmental impact assessments. His extension work delivers practical solutions to water resource managers through guides like the Pond Management Guide and 2025 Pest Control for Professional Turfgrass Managers . Richardson collaborates on interdisciplinary projects involving remote sensing, robotics, and predictive modeling. Publications highlight innovations in submersed plant management, UAS herbicide delivery, and hybridization dynamics of invasive species. He has pioneered studies on florpyrauxifen-benzyl herbicide behavior and developed frameworks for autonomous weed management systems. His work emphasizes balancing ecological health with effective control strategies for recreational ponds, reservoirs, and agricultural drainage systems.

Jeong-Yeol Yoonمشاهده پروفایل

استاد

• Biomedical Engineering
• Environmental Engineering
• Analytical Chemistry
• +۵ مورد دیگر

Jeong-Yeol Yoon is a Professor at The University of Arizona, holding primary appointments in the Department of Biomedical Engineering and split appointments in the Department of Biosystems Engineering. He also has joint appointments in Chemistry & Biochemistry and the BIO5 Institute. His research focuses on innovative biosensor technologies, organ-on-a-chip systems for medical and environmental diagnostics, and applications of machine learning in sensing. He earned his Ph.D. in Biomedical Engineering from UCLA and another Ph.D. in Chemical Engineering from Yonsei University. Education: Ph.D. 2004, Biomedical Engineering, University of California, Los Angeles Ph.D. 1999, M.S. 1994, B.S. 1992, Chemical Engineering, Yonsei University, South Korea Research Interests: Yoon's work emphasizes smartphone-based biosensors, organ-on-a-chip platforms for toxicity testing, and environmental monitoring. He pioneers the use of machine learning to enhance diagnostic accuracy and reduce costs. His lab develops field-deployable tools for rapid detection of pathogens, pollutants, and biomarkers. Recent innovations include paper microfluidics for viral detection and low-cost systems for microplastic analysis. Grants & Awards: Researcher of the Year, UA College of Engineering (2025) President of the Institute of Biological Engineering (IBE) (2013–2016) Over $10M in grants from NSF, USDA, and industry partners Labs & Collaborations: Directs the Biosensors Lab, collaborating with BIO5 Institute and industry partners. Active in global initiatives like the One Health Initiative for nanoplastics detection and environmental health.

• Soil Science
• Digital Soil Mapping
• Geospatial Information Systems
• +۵ مورد دیگر

Brandon Heung is an Associate Professor of Soil Science and Pedometrics at the Department of Plant, Food, and Environmental Sciences, Faculty of Agriculture, Dalhousie University. He leads the Soil-Landscapes Analysis & Modelling Lab, focusing on digital soil mapping, spatial modeling, and machine learning applications in environmental science. His research integrates soil science, geospatial technologies, and big data analytics to address climate change mitigation, soil resource management, and precision agriculture. Research interests include pedometrics (high-resolution soil mapping), geospatial analysis, machine learning for soil health assessment, and carbon sequestration. He collaborates widely, securing funding from NSERC, CFI, and provincial agencies. Teaching responsibilities include courses such as ENVA 3005 (GIS), AGRI 5700 (Communication Skills), and AGRI 6800 (Advanced Graduate Seminar). He holds adjunct status at Simon Fraser University (Geography) and holds editorial roles at Geoderma and Canadian Journal of Soil Science . Major funders include the Natural Sciences and Engineering Research Council, Canadian Foundation for Innovation, and provincial agriculture departments. Current lab members include postdoctoral fellows (e.g., Dr. Kingsley John on soil carbon sequestration) and PhD students (e.g., Travis Pennell on soil biodiversity mapping in Atlantic Canada). Past projects include forest resource inventory frameworks and peat thickness mapping in Quebec.

• Plant Ecophysiology
• Christmas Tree Nutrition
• Postharvest Physiology
• +۴ مورد دیگر

Mason MacDonald is an Assistant Professor in Plant Ecophysiology at Dalhousie University's Department of Plant, Food, and Environmental Sciences, Faculty of Agriculture. His research focuses on plant stress physiology, postharvest biology, and agricultural technologies. Key areas include understanding mechanisms of postharvest needle abscission in conifers, optimizing nutrient management for Christmas trees, and developing stress-tolerant crop varieties through seed priming and preconditioning techniques. Research Interests: Plant Ecophysiology Postharvest Physiology of Conifers Seed Priming Technologies Drought Tolerance Mechanisms Remote Sensing in Agriculture Publications highlight innovations in using UAV-based sensing for crop monitoring, lipid biochemistry in plant senescence, and modified atmospheric packaging for cannabis preservation. His work bridges fundamental plant biology with applied agricultural solutions. Advising & Grants: Currently supervises graduate students in plant stress biology and has secured grants for research into conifer physiology and sustainable crop production. Collaborates with industry partners on postharvest technology development. Labs: Conducts research in the Cox Institute laboratories at Dalhousie's Agricultural Campus in Truro, Nova Scotia.