جست‌وجوی استاد و پژوهشگر

Roger D. Eastmanمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Immersive Media Design
• +۳ مورد دیگر

Roger D. Eastman is a Professor of the Practice in the Department of Computer Science at the University of Maryland, College Park, and serves as Director of the Immersive Media Design Program. He holds a Ph.D. (1990) and B.A. (1979) in Mathematics and Computer Science from the University of Maryland and University of Missouri-Columbia, respectively. His research focuses on computer vision applications in robotics, remote sensing, and immersive media. Notable projects include work with NASA-Goddard on satellite imagery registration, NIST on robotics perception standards, and JHU on medical imaging for glaucoma diagnosis. Current efforts emphasize XR visualization for Earth science and algorithmic art. Teaching priorities include introductory computer science, non-major courses in computer art with Processing/Arduino, and graphics/HCI. He has supervised undergraduate research leading to advanced academic and industry careers in VFX/game design. Publications span image registration techniques, sensor ontology development, and XR-based scientific visualization. Collaborations include Google Scholar profiles and a Cambridge Press book on remote sensing registration.

• Remote Sensing
• Wireless Communications
• Astronomy
• +۳ مورد دیگر

Sean Bryan is an Associate Research Professor at Arizona State University (ASU), part of the School of Earth and Space Exploration. He specializes in developing novel systems and algorithms for remote sensing, wireless communications, and astronomy. Since 2014, he has contributed to major projects such as the SPIDER balloon-borne telescope and the NASA CubeSounder mission, which aims to map atmospheric water vapor for improved weather forecasting. As the survey schedule lead for the SPHEREx IR satellite mission, he plays a key role in advancing astronomical surveys. His education includes a Ph.D. in Physics from Case Western Reserve University (2014) and a B.S. in Physics from the University of Minnesota (2006). His research focuses on cutting-edge instrumentation for cosmic microwave background (CMB) studies, including work on the TolTEC camera and the Simons Observatory. He has pioneered signal processing techniques for wireless communications and balloon-borne telescopes, with a strong emphasis on interdisciplinary applications in space exploration and Earth science. Bryan’s technical contributions span cryogenic systems, detector arrays, and data analysis pipelines. He leads teams in designing and testing advanced instruments for suborbital and orbital missions, ensuring their readiness for extreme environmental conditions. His work bridges theoretical astrophysics with practical engineering, addressing critical challenges in observational cosmology and atmospheric science.

John Kershawمشاهده پروفایل

استاد

• Forest Mensuration
• Forest Inventory Design
• Remote Sensing in Forestry
• +۵ مورد دیگر

John Kershaw is a Professor at the University of New Brunswick (UNB), holding the position of Associate Vice President Academic (Partnerships). He teaches Advanced Mensuration, Research Methods, and coordinates the Nanjing Forest University-UNB 3+1+1 program. His research focuses on forest mensuration, inventory design, LiDAR analysis, and growth modeling, with projects spanning North America, Asia, and beyond. He co-authored the widely used Forest Mensuration (5th Edition) . Key research interests include copula applications in forestry, large-scale forest inventory , and climate change impacts on forest dynamics. He collaborates internationally, with active projects in New Brunswick, Newfoundland, Maine, Florida, Oregon, Malaysia, Taiwan, Indonesia, and India. He serves on the editorial board of Forest Ecosystems and represents UNB in the Indo-Canadian Shastri Institute. Recent publications emphasize LiDAR-driven forest analysis , big data applications , and mixed-species stand modeling . His work bridges theoretical and applied forestry, focusing on sustainable management and technology integration. Outside academia, he is an avid outdoors enthusiast, engaging in hiking, canoeing, and mountain climbing.

Hemantha Herathمشاهده پروفایل

استاد

• Accounting Analytics
• Information Security Governance
• Financial Risk Management
• +۳ مورد دیگر

Hemantha Herath is a Professor of Accounting at the Goodman School of Business, Brock University. His research focuses on intersections of accounting analytics, information security governance, and financial risk management. He specializes in applying advanced statistical techniques like Monte Carlo simulations and Bayesian analysis to address challenges in managerial decision-making, regulatory compliance, and organizational performance. Key research themes include cybersecurity frameworks, cryptocurrency valuation, and the integration of balanced scorecards for strategic initiatives. His work frequently explores real-world applications in sectors such as winemaking, timber harvesting, and pandemic-era technology adaptation. Dr. Herath’s contributions bridge theoretical models with practical implementations in corporate social responsibility, environmental sustainability, and cost-volume-profit analysis. His publications span academic journals and industry reports, emphasizing methodological rigor and actionable insights. Notable areas of exploration include cyber-insurance pricing frameworks, regulatory pressures on small businesses, and the ethical dimensions of cryptocurrency.

Vincent Larsonمشاهده پروفایل

استاد

• Simulation of clouds and microphysics
• Computational fluid dynamics
• Monte Carlo simulation
• +۱ مورد دیگر

Professor Vincent Larson, affiliated with the Department of Mathematical Sciences at the University of Wisconsin — Milwaukee, serves as Data Science Internship Coordinator and Program Coordinator for the Statistics Research Group. He holds a PhD from MIT and a BA in Physics from Yale. PhD, Massachusetts Institute of Technology (1999) BA in Physics, Yale University (1992) Larson's research focuses on cloud simulations, computational fluid dynamics, Monte Carlo methods, and parameter estimation. His work explores turbulence-cloud interactions, microphysical processes, and numerical accuracy in Earth System Models. Developed CLUBB GPUization for performance portability in turbulence parameterization Coordinated Climate Process Team grants (2010–2015) across 6 institutions Collaborated with Fachhochschule Aachen on dual-degree Master's programs His publications (over 87) emphasize cloud dynamics , precipitation modeling , and subgrid-scale representations in climate models. Larson has held visiting fellowships at NCAR and maintains affiliations with Pacific Northwest National Laboratory and Colorado State University's CIRA.

Julie Paprockiمشاهده پروفایل

استادیار

• Geotechnical Engineering
• Coastal Engineering
• Remote Sensing
• +۴ مورد دیگر

Julie Paprocki is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of New Hampshire (UNH), serving as the Ocean Engineering Minor Coordinator within the College of Engineering and Physical Sciences. Her research focuses on geotechnical engineering applications in coastal and estuarine environments, leveraging remote sensing technologies like synthetic aperture radar and satellite imagery. She specializes in sediment characterization, intertidal zone analysis, and developing frameworks for assessing coastal soil properties using non-invasive methods. Dr. Paprocki teaches advanced courses including CEE 502 (Project Engineering), CEE 796/896 (Marine Geotechnics), and OE 758/858 (Design of Ocean Structures). Her work integrates field measurements with remote data collection to improve understanding of coastal geotechnical challenges, particularly in extreme event contexts. Recent publications emphasize satellite-based moisture content assessment, sediment classification, and portable instrumentation for site characterization. No scientific awards or grants are explicitly listed in the provided materials. Her research lab focuses on advancing coastal infrastructure resilience through innovative geotechnical methodologies.

XiaoHang Liuمشاهده پروفایل

استاد

• Geographic Information Systems (GIS)
• Remote Sensing
• Spatial Statistics
• +۵ مورد دیگر

Dr. XiaoHang Liu is a Professor in the Department of Geography and Environment at San Francisco State University (SFSU). She specializes in geographic information techniques, including GIS, Remote Sensing, and Spatial Statistics, with applications in urban land use, environmental modeling, and public health. Her research focuses on the intersection of built environments and health equity, leveraging internet GIS for community engagement in urban revitalization. Dr. Liu holds a PhD in Geography from the University of California, Santa Barbara (UCSB). She is affiliated with the Institute for Geographic Information Science at SFSU, emphasizing applied geospatial research and education. Her research interests include urban land use dynamics, population distribution modeling, and environmental justice. She has extensively explored methods for improving digital elevation model accuracy, spatial interpolation techniques, and pedestrian volume estimation in urban settings like San Francisco. Dr. Liu collaborates on projects addressing estuary conservation networks, dasymetric mapping, and geostatistical approaches to demographic analysis. Her work bridges theoretical spatial metrics with practical applications, such as enhancing public participation through GIS tools.

• Artificial Intelligence
• Data Science
• Machine Learning
• +۹ مورد دیگر

Qianru Sun is an Associate Professor at the School of Computing and Information Systems, Singapore Management University (SMU), and a Lee Kong Chian Fellow. Her research focuses on artificial intelligence, machine learning, computer vision, and semantic segmentation, with a particular emphasis on few-shot learning, meta-learning, and domain adaptation in remote-sensing imagery. Recent publications highlight her work on visual chain-of-thought reasoning , 3D scene understanding via 2D models , and parameter-efficient fine-tuning of large models. Her research also extends to weakly-supervised semantic segmentation and cross-modal video retrieval . Scientific Awards : Lee Kong Chian Fellow (2021–2023, 2025–2027) Outstanding Service Award by MMAsia (2020) Outstanding Reviewer at NeurIPS'21 and ICLR'21 Students : PhD students: Luo Zilin, Tian Zichen, Ying Jiahao Master’s students: Bao Chunhui, LOH Yi Lin, MA Li

• Computer Vision
• High Performance Computing
• Data Science
• +۱ مورد دیگر

Kannappan Palaniappan is a Curators' Distinguished Professor in Electrical Engineering and Computer Science at the University of Missouri. His pioneering work spans computer vision, high-performance computing, and biomedical image analysis, with applications from molecular microscopy to satellite remote sensing. Received prestigious honors including NASA Public Service Medal for scientific visualization innovations and National Academies Jefferson Science Fellowship. Research interests include large-scale image analysis, geospatial visualization, biomedical imaging, and parallel computing algorithms. Developed foundational techniques for the Digital Earth visualization system and co-founded NASA's Visualization and Analysis Lab. Publications demonstrate extensive applications across scales from cellular neuroscience to Earth observation. Recent works focus on neural circuit modeling, high-performance computing frameworks, and interdisciplinary applications in neuroscience and geospatial analysis. NASA Public Service Medal National Academies Jefferson Science Fellowship Air Force Summer Faculty Fellowship Boeing Welliver Faculty Fellowship William T. Kemper Teaching Fellowship Secured research funding from NIH, NSF, NASA, and DoD laboratories. Holds patents for moving object detection and camera pose estimation technologies.

Naeem Mianمشاهده پروفایل

استاد

• Machine Tools
• Thermal Engineering
• Sensor Technology
• +۷ مورد دیگر

Dr. Naeem Mian is a Professor and Subject Area Leader in Mechanical and Automotive Engineering at the School of Computing and Engineering, University of Huddersfield. He holds a BEng in Electronic Engineering, MSc in Engineering Control Systems and Instrumentation, and a PhD in Machine Tools Thermal Finite Element Analysis (FEA). His research focuses on thermal behavior of machine tools, vibration sensors, control engineering, and sustainable technologies. He is affiliated with the Centre for Precision Technologies and the Centre for Thermofluids, Energy Systems, and High-Performance Computing. Dr. Mian’s research explores thermal error mitigation, sensor calibration, and advanced manufacturing systems. His work contributes to UN Sustainable Development Goals via innovations in energy-efficient systems and smart materials. Recent projects include developing a 'Smart Mattress' to reduce landfill waste and improve sleep quality. His publications span thermal modeling, hybrid generators, and wearable e-textiles. Notable collaborations involve wind energy optimization, bioaerosol dispersion analysis in railways, and precision vibration sensing. He actively supervises PhD students and participates in interdisciplinary projects combining mechanical, electrical, and materials engineering.

Aly Fathyمشاهده پروفایل

استاد

• Antenna Design
• Microwave Engineering
• Phased Array Antennas
• +۵ مورد دیگر

Dr. Aly Fathy is a Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. He is affiliated with the Tickle College of Engineering and holds a PhD in Electrical Engineering from the Polytechnic Institute of New York (1984). His research focuses on antenna design, microwave engineering, phased arrays, and biomedical radar applications. He has led the development of advanced radar systems for non-invasive health monitoring and contributed to innovations in UWB, MIMO, and millimeter-wave technologies. Education: PhD in Electrical Engineering, Polytechnic Institute of New York, 1984 MS in Electrical Engineering, Ain Shams University, Cairo, Egypt, 1980 BS in Pure & Applied Mathematics (Honors) and BS in Electrical Engineering (Honors), Ain Shams University, Cairo, Egypt, 1979 Research Interests: Dr. Fathy's work bridges theoretical electromagnetic analysis and practical applications. He has pioneered reconfigurable antennas, radar systems for vital sign detection, and microwave heating technologies. His research includes: Development of compact, high-performance antennas for 5G and satellite communications Ultra-Wideband (UWB) radar for through-wall imaging and non-contact health monitoring Biomedical applications, such as heart rate and respiration detection using Doppler radar Advanced phased array designs and microwave circuit optimization Publications & Trends: His recent work emphasizes multi-subject vital sign monitoring, millimeter-wave radar systems, and AI-driven signal processing. Key themes include improving radar accuracy in cluttered environments and enhancing biomedical sensor reliability. Awards: Sarnoff Team Award (1999) for DBS antenna development Outstanding Achievement Awards (1989–1997) for contributions to superconductors, embedded filters, and antenna innovation Best Paper Award at IEEE-MTT Symposium (1988) Grants & Advising: Dr. Fathy has advised over 10 graduate students and secured significant industry partnerships, including grants from Agilent and Ansoft. He established state-of-the-art labs for antenna testing, microwave circuit fabrication, and high-frequency simulations. Labs & Teams: His research group collaborates with biomedical departments on cross-disciplinary projects, such as fiber-optic communication systems and electromagnetic biological effects analysis.

Peter Jan van Leeuwenمشاهده پروفایل

استاد

• Data Assimilation
• Physical Oceanography
• Geophysical Fluid Dynamics
• +۴ مورد دیگر

Peter Jan van Leeuwen is a Professor of Data Assimilation and Physical Oceanography at Colorado State University (since 2018) and a Professor of Data Assimilation at the University of Reading (since 2009). He holds leadership roles, including Director of the Data Assimilation Research Centre (DARC) and former Director of the National Centre for Earth Observation (NCEO). He earned his Ph.D. in Fluid Dynamics from Delft University of Technology (1992) and holds multiple advanced degrees in Theoretical Physics and Astrophysics from Dutch universities. His research focuses on advancing data assimilation techniques (including machine learning), causal discovery in non-intervenable systems, and their applications to geophysical fluids like oceans, atmosphere, and cryosphere. Key areas include ocean dynamics, air-sea interaction, sea-ice prediction, cloud microphysics, and hurricane modeling. He has been funded by NSF, NOAA, NASA, and European agencies like the ERC and NERC. Notable awards include the George T. Abell Outstanding Faculty Research Award (2025) and the ERC Advanced Investigator Award (2016). He has authored over 50 peer-reviewed articles and co-edited the open-access textbook Data Assimilation Fundamentals . Van Leeuwen leads the Center for Nonlinear Data Assimilation, Causal Discovery, and Prediction, emphasizing cutting-edge methods for high-dimensional systems and climate predictability.

Hristo Chipilskiمشاهده پروفایل

استادیار

• Data Assimilation
• Artificial Intelligence
• Numerical Weather Prediction
• +۲ مورد دیگر

Hristo Chipilski is an Assistant Professor in the Department of Scientific Computing at Florida State University. His research focuses on data assimilation, artificial intelligence, numerical weather prediction, and atmospheric dynamics, combining theoretical, computational, and applied approaches. Education: 2021-2023 ASP Postdoctoral Fellow (NCAR), 2016-2021 PhD in Meteorology (University of Oklahoma), 2012-2016 MMet in Meteorology and Climate (University of Reading, UK) Research Interests: Data assimilation (optimal combination of models and observations) drives his work, particularly for atmospheric systems. He explores AI integration with traditional assimilation methods, targeting convective-scale weather prediction and real-time high-performance computing applications. His studies analyze bore-generating convection, cloud microphysics, and multiscale dynamics. Article Trends: Recent publications emphasize nonlinear ensemble filtering techniques, diffusion models, and generative AI for data assimilation in geophysical systems. Topics span surface quasi-geostrophic dynamics, partial observation handling, and real-time numerical weather prediction (NWP) frameworks optimized for high-performance computing.

Dongmei Fengمشاهده پروفایل

استادیار

• Terrestrial Hydrology
• River Dynamics
• Satellite Remote Sensing
• +۴ مورد دیگر

Dongmei Feng serves as an Assistant Professor in the Department of Chemical and Environmental Engineering within the College of Engineering and Applied Science at the University of Cincinnati. Her research focuses on terrestrial hydrology, specializing in river systems through innovative integration of satellite remote sensing, process-based models, and machine learning to address freshwater resource challenges. Dr. Feng earned her Ph.D. (2018), M.S. (2013), and B.S. (2010) in Environmental Engineering from Northeastern University and Tongji University. Her research interests span terrestrial hydrology, river dynamics, satellite remote sensing applications, machine learning in hydrological modeling, freshwater ecosystem health, inland water carbon cycling, and harmful algal blooms monitoring. She develops cutting-edge methodologies to quantify river water quantity and quality while advancing understanding of complex river dynamics under changing environmental conditions. Her publication portfolio demonstrates strong focus on satellite-based river monitoring, with recent work analyzing global river discharge changes, Arctic hydrology, suspended sediment quantification, and phosphorus cycling using machine learning. This research trajectory reflects increasing integration of NASA's SWOT mission data with traditional hydrological models to address continental-scale water challenges. 2023 CEAS Faculty Development Award 2024 NASA Early Career Investigator Award 2024 CEAS Distinguished Researcher Award 2025 CEAS Research Award for Early Career Faculty As Principal Investigator, Dr. Feng has secured over $2.2 million in federal research funding since 2022, including multiple NASA grants (totaling $1.9M), USGS projects, and University of Cincinnati initiatives. Her current portfolio includes lead roles in pan-Arctic sediment mapping, Ohio River Basin phosphorus monitoring, and global inland water carbon emission studies. She directs the Terrestrial Hydrology Lab, which employs UAVs, satellite data, and machine learning to study Earth's water systems with emphasis on river dynamics and ecosystem health.

Matthew Clarkمشاهده پروفایل

استاد

• Remote Sensing
• Geographic Information Systems
• Biogeography
• +۵ مورد دیگر

Matthew Clark is a Professor and Director of the Center for Interdisciplinary Geospatial Analysis (CIGA) in the Department of Geography, Environment, and Planning at Sonoma State University. He holds a PhD in Geography from UC Santa Barbara (2005) and prior degrees from UC Berkeley and the University of Washington. His research focuses on conservation, remote sensing, and geospatial technologies applied to biodiversity monitoring, wildfire impacts, and environmental change. Key projects include drone-based canopy fuel analysis, acoustic biodiversity surveys, and satellite remote sensing of forest structure. He has secured over $4M in grants from NASA and Cal Fire for projects like Soundscape-to-Landscapes biodiversity monitoring and GEDI-based wildfire impact studies. Clark’s work appears in top journals like Remote Sensing of Environment and Frontiers in Remote Sensing. He advises students on geospatial analysis and leads the CIGA lab, collaborating internationally on South African acoustic biodiversity projects and Latin American forest conservation efforts. His teaching and research emphasize practical solutions for coupled human-environment systems, integrating citizen science with advanced technologies like lidar, hyperspectral imaging, and machine learning. Clark’s office is Stevenson Hall 3503, with hybrid advising hours via Zoom and in-person.