جستجوی استاد راهنمای دانشگاهی

Samartzis Petrosمشاهده پروفایل

پژوهشگر

• Laser Chemistry
• Chemical Dynamics
• Spectroscopy
• +۳ مورد دیگر

Petros Samartzis is a Principal Researcher at IESL-FORTH, Greece. He earned his BSc (1996) and PhD (2003) in Chemistry from the University of Crete. Postdoctoral research included stints at UC Santa Barbara (2003-2007) and Caltech (2007-2009). His work focuses on laser-based chemical dynamics, spectroscopic detection, and instrument development. Key interests include molecular photodissociation mechanisms, spin-polarized atom production, and environmental/food analysis via optical methods. Education: PhD in Physical Chemistry, University of Crete, 2003 (advisor: Theo Kitsopoulos) BSc in Chemistry, University of Crete, 1996 Research Interests: His research integrates laser spectroscopy and advanced imaging techniques to study molecular dynamics. Specific areas include: Excited-state molecular dynamics and structural monitoring Spectroscopic detection of target molecules in complex mixtures Development of novel optical instruments (e.g., remote sensing devices) Photolytic production of spin-polarized atoms Ultrafast spectroscopy and time-resolved imaging Publications Trends: Recent work emphasizes applications in environmental monitoring (atmospheric greenhouse gases), food authenticity (olive oil/milk analysis), and fundamental studies of photodissociation pathways in small molecules. Techniques like velocity map imaging and photoelectron circular dichroism dominate his experimental approach. Instrumentation: Developed a prototype optical system for fuel adulteration detection and an autonomous laser device for atmospheric gas sensing. Active in advancing slice imaging and REMPI techniques.

Zacharopoulos Athanasiosمشاهده پروفایل

پژوهشگر

• Biomedical Imaging
• 3D Image Reconstruction
• Inverse Problems
• +۵ مورد دیگر

Dr. Zacharopoulos Athanasios is a Researcher at the Foundation for Research and Technology Hellas (FORTH), where he has been a Research Associate since 2009. He holds a PhD in Computer Science from University College London (UCL), focusing on three-dimensional shape-based reconstructions in medical imaging. His research spans biomedical imaging, 3D reconstruction algorithms, inverse problems, and optical tomography. He has held positions at institutions including UCL’s Centre for Medical Image Computing, Harvard Medical School, and the University of Kuopio. Education: BSc in Mathematics (1999, Aristotle University of Thessaloniki), MSc in Vision Imaging and Virtual Environments, and a PhD from UCL’s Computer Science Department. Research interests include 3D image reconstruction, optical projection tomography, and fluorescence molecular tomography. His work addresses challenges in imaging through scattering layers and improving light propagation models for biomedical applications. Key contributions include phase-retrieved optical projection tomography and advancements in light sheet microscopy for in vivo imaging. Collaborations span academic and clinical institutions globally.

Steven E. Franklinمشاهده پروفایل

استاد

• Environmental Remote Sensing
• Wildlife Conservation
• Terrain Analysis
• +۳ مورد دیگر

Dr. Steven E. Franklin served as President & Vice-Chancellor of Trent University from 2009 to 2014, leading strategic initiatives to enhance academic excellence, financial stability, and community engagement. Post-presidency, he returned to research and teaching in environmental remote sensing within Trent’s Geography and Environmental Resource departments. His academic career includes roles as Vice President of Research at the University of Saskatchewan and faculty positions at Waterloo, Calgary, and Memorial University. Research focuses on remote sensing applications for biodiversity, wildlife habitat analysis, and environmental management. Notable contributions include over 120 refereed articles and four books, including Remote Sensing for Biodiversity and Wildlife Management . Awards include the Canadian Remote Sensing Society Gold Medal (2007) and a Sustainability Award from the Canadian Institute of Mining. Key leadership achievements include launching Trent’s first Integrated Plan, expanding programs in Sustainable Agriculture and Journalism, and overseeing major infrastructure projects like the Life and Health Sciences Building and Bagnani Hall. He also championed interdisciplinary education and undergraduate research opportunities through initiatives like the Enhancing Undergraduate Learners’ Experience (EULE) program.

Agnes Cameronمشاهده پروفایل

مدرس

• Electronics Engineering
• Software Engineering
• Peer-to-Peer Networks
• +۳ مورد دیگر

Agnes Cameron is a Lecturer and Specialist Technician at the UAL Creative Computing Institute (UAL), with a dual role as part-time staff and academic. She holds a background in electronics and software engineering, combining technical expertise with artistic and pedagogical pursuits. A 2024 Bellingcat Tech Fellow , she specializes in multispectral satellite imagery , synthesizer design , and research software sustainability . Her affiliations include the Somerset House Studios as a resident artist, co-founding Foreign Objects , and directing Inflationary Assets (a community interest company). She has taught at Parsons School of Design and Hunter College , and is a Carpentries instructor focusing on peer-to-peer skill-sharing. Recent projects include the More Roar synthesiser (collaborating with Dirty Electronics Ensemble) and investigations into bauxite mining’s ecological impacts using remote sensing. Her work spans critical technology analysis , geospatial ethics , and the intersection of art with infrastructure. Key achievements : 2024 Bellingcat Technical Writing Fellowship Creative code specialist with MIT Museum Studio and Media Lab Co-organizer of Naive Yearly interdisciplinary events

Daehyun Yoonمشاهده پروفایل

استادیار

• Medical Imaging
• MRI Technology
• PET/MRI Integration
• +۳ مورد دیگر

Dr. Daehyun Yoon is an Assistant Professor and Assistant Adjunct Professor at the University of California, San Francisco (UCSF), focusing on medical imaging techniques for musculoskeletal pain diagnosis. He specializes in PET/MRI and MRI methods to identify pain generators in chronic conditions like low back pain, complex regional pain syndrome, and CSF leaks. His research also addresses metallic implant-related MRI artifacts and high-resolution neuroimaging. Education: PhD, 2012: Electrical Engineering, University of Michigan M.S., 2007: Electrical Engineering, University of Michigan B.S., 2004: Computer Science & Engineering, Seoul National University Postdoctoral Fellowship: Stanford University (2016), focusing on MRI near metal Research Interests: Dr. Yoon’s work integrates advanced imaging technologies to improve clinical protocols for pain management. His NIH-funded project (NIAMS) explores [18F]FDG PET/MRI near hip implants to identify post-surgical pain sources. He develops artifact-free MRI techniques for metallic implants and high-resolution imaging of peripheral nerves. Grants & Collaborations: Co-investigator on an NIH/NIAMS-funded project studying hip implant-associated pain Collaborations with Stanford University, Seoul National University, and industry partners His work bridges biomedical engineering, radiology, and clinical pain management to translate research into patient care. Labs & Teams: Engaged in UCSF’s radiology and biomedical imaging research groups, focusing on multimodal imaging and musculoskeletal pain diagnostics.

Anjin Changمشاهده پروفایل

استاد پژوهش

• Precision Agriculture
• UAS Remote Sensing
• GIS Applications
• +۳ مورد دیگر

Dr. Anjin Chang is a Research Associate Professor in Agricultural and Environmental Sciences at Tennessee State University. His research integrates precision agriculture technologies including UAS-based remote sensing, machine learning, and geospatial analytics for crop monitoring and yield prediction. Notable projects include digital twin frameworks for cotton growth forecasting and automated plot extraction using computer vision. Chang's publications focus on high-throughput phenotyping, UAS data processing optimization, and hyperspectral imaging applications. Honors include 2021 Best Presentation at the US-Korea STEM Conference. He holds a PhD in Civil and Environmental Engineering from Seoul National University with specialization in spatial informatics.

Behnaz Molaeiمشاهده پروفایل

استادیار

• Evapotranspiration
• Irrigation Systems
• Precision Irrigation
• +۳ مورد دیگر

Behnaz Molaei is an Assistant Professor and Extension Irrigation Engineer at Tennessee State University's College of Agriculture, Department of Agricultural Sciences and Engineering. Her expertise includes evapotranspiration modeling, precision irrigation, and water management technologies. She earned her Ph.D. in Biological and Agricultural Engineering from Washington State University (2022), with prior degrees from Isfahan University of Technology and Shahrekord University. Her research focuses on optimizing irrigation efficiency through remote sensing, drone technology, and advanced modeling. Key areas include evapotranspiration estimation, crop water mapping, sprinkler system configurations, and sustainable agricultural practices. She leads significant projects such as the USDA-NIFA-AFRI grant for improving crop water use estimation with UAS-based models. Major awards include the NACAA Communication Award (2024), ASABE Best Presentation (2022), and multiple graduate leadership honors. Her publications demonstrate innovations in precision agriculture and water conservation. No student advising or laboratory affiliations are detailed in the provided information.

• Remote Sensing
• Environmental Science
• GIS
• +۴ مورد دیگر

Bahram Salehi is an Associate Professor and Graduate Students Coordinator in the Department of Environmental Resources Engineering at SUNY College of Environmental Science and Forestry (ESF). His research focuses on remote sensing applications, including wetland mapping, forest biomass estimation, water quality monitoring, and 3D urban tree modeling using SAR, multispectral, and UAV technologies. He leads the Salehi-Geolab, which develops advanced remote sensing and machine learning techniques for environmental monitoring. Education: Ph.D., University of New Brunswick, Canada (2012) M.Sc., K.N. Toosi University of Technology, Iran (2005) B.Sc., University of Tehran, Iran (2002) Research Interests: Salehi's work integrates cutting-edge technologies like PolSAR, UAV photogrammetry, and deep learning to address environmental challenges. Key areas include: Wetland and forest monitoring at national scales Carbon storage assessment using SAR and optical data Water quality prediction in inland waters 3D urban tree modeling with LiDAR and multispectral data Articles Trends: His recent publications emphasize machine learning-driven approaches for wetland classification (e.g., using GANs and ensemble models), UAV-based forest 3D modeling, and biomass estimation using multi-source data. Key applications include New York State forest biomass mapping and harmful algal bloom detection in Finger Lakes. Advising & Grants: Salehi supervises graduate students in remote sensing and geospatial analytics. He leads projects funded by NIFA, NYS DEC, and the Clarkson-ESF Healthy Water Solutions Center. Past work includes developing Canada's wetland inventory using Google Earth Engine. Labs & Teams: The Salehi-Geolab (salehi-geolab.com) collaborates on projects like the New York State Carbon Assessment and NASA-ISRO SAR Mission (NISAR) wetland monitoring. Outputs include software tools (ARSenAL) and datasets like the 10m resolution NY State canopy height map.

Alia Khanمشاهده پروفایل

دانشیار

• Cryospheric Sciences
• Remote Sensing
• Snow and Ice Albedo
• +۵ مورد دیگر

Dr. Alia Khan is an Associate Professor in the Department of Environmental Sciences at Western Washington University. Her research focuses on the impacts of light-absorbing particles (e.g., black carbon, snow algae) on cryospheric albedo and melt processes. She employs remote sensing (UAVs, satellites) and field-based biogeochemical analysis to study polar and high-mountain regions. Dr. Khan leads the Western Washington Cryospheric Sciences Remote Sensing and Aquatic Biogeochemistry Lab and manages over $2.5 million in federal grants (NSF, NASA). Education: B.S.P.H. in Environmental Health Science, University of North Carolina at Chapel Hill (2009) M.S. in Environmental Studies (Biogeoscience), University of Colorado Boulder (2012) Ph.D. in Civil and Environmental Engineering, University of Colorado Boulder (2016) Research Interests: Light-absorbing particles in snow/ice Snow algae dynamics and remote sensing Cryospheric hydrology and biogeochemistry Climate impacts of cryospheric changes Funding & Projects: NSF-CAREER Award: Antarctic snow algae and light-absorbing particles NSF-EAGER: Arctic sea ice robotics and sampling NSF-RAPID: Greenland ice sheet smoke deposition NASA: SmallSat detection of snow algae Awards: NSF CAREER Grant (2022) US Fulbright Scholar (2019) Antarctic Service Medal (2012) Teaching: Courses include Watershed Biogeochemistry Capstone and Global Change in the Cryosphere , integrating fieldwork and geospatial analysis. Lab Opportunities: Seeks motivated M.S. students and research associates for fieldwork, lab analysis, and remote sensing projects.

Behnam Askarianمشاهده پروفایل

استادیار

• Renewable Energy
• Machine Learning
• Image/Signal Processing
• +۳ مورد دیگر

Dr. Behnam Askarian is an Assistant Professor of Electrical Engineering at West Texas A&M University's College of Engineering, joining in Fall 2021. He holds a B.S. and first M.S. in Electrical Engineering from Shiraz University (Iran), followed by a second M.S. and Ph.D. from Texas Tech University (2020 and 2021, respectively). His research focuses on renewable energy, machine learning, biomedical engineering, IoT, and image/signal processing , with notable contributions to smartphone-based diagnostic tools for eye diseases and arrhythmia detection. He has authored two books on multimedia and learning technologies. **Education**: B.S. & M.S. in Electrical Engineering, Shiraz University, Iran M.S. & Ph.D. in Electrical Engineering, Texas Tech University **Research Highlights**: Dr. Askarian’s work bridges engineering and healthcare, particularly in developing affordable diagnostic tools. His IoT-enabled solutions address challenges in telemedicine, such as keratoconus detection via smartphones and arrhythmia monitoring. He also explores AI-driven precision agriculture and sustainable energy systems. Two patents reflect his innovations in smartphone-integrated medical sensors. **Teaching**: He teaches core electrical engineering courses, including Digital Design, Wind Energy Turbines, and Linear Integrated Circuits , emphasizing hands-on learning in electronics and renewable energy. **Labs & Collaborations**: Affiliated with the College’s engineering research groups, including the ECORE Lab and Human-Machine Teaming Laboratory, where he contributes to interdisciplinary projects in robotics and sensor networks.

Frédéric Leblondمشاهده پروفایل

استاد

• Biomedical engineering
• Biomedical technology
• Photonics
• +۳ مورد دیگر

Frédéric Leblond is a Full Professor in the Department of Engineering Physics at Polytechnique Montréal , with affiliations to the Centre d’optique, photonique et laser (COPL) and the Institut de génie biomédical . His research focuses on biomedical optics and Raman spectroscopy for real-time cancer detection during surgeries. Developed handheld intraoperative Raman probes for brain and prostate cancer Created optical biopsy needles integrating Raman spectroscopy Adapted technology for COVID-19 detection in saliva Research Trends : Recent publications emphasize portable Raman systems for in vivo diagnostics across brain surgery , prostate cancer , soft tissue sarcomas , and viral detection . Subfields include biophotonic instrumentation , intraoperative monitoring , and medical device commercialization . Scientific Recognition : 2019 Ordre des ingénieurs du Québec (OIQ) Hommage 2018 Québec Science Discovery of the Year 2018 Polytechnique Montréal Prix d'excellence 2016 Journal La Presse Person of the Week 2015 Journal La Presse Person of the Year Training Impact : Supervised 7 Ph.D. students including F. Daoust , S. David , and A. Laurence , plus 14 Master’s students. His technology has already been used in 18 brain tumor surgeries during clinical trials.

Hujun Yinمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Prof. Hujun Yin is a Professor of Artificial Intelligence at the Department of Electrical and Electronic Engineering, University of Manchester. He holds a Turing Fellowship (2018-2023) and serves as Chair of the IEEE CIS UK Ireland Chapter. His research focuses on AI, machine learning, deep learning, and their applications in vision systems, medical imaging, agriculture, and engineering. He leads a team with expertise in interdisciplinary and industrial applications, supported by advanced GPU resources. Education: BEng (Electronic Engineering) and MSc (Signal Processing) from Southeast University, PhD in Neural Networks from University of York. Research interests include neural networks, self-organizing systems, image recognition, and bioinformatics. Notable projects involve recycling industry vision systems, plant disease detection via multispectral imaging, and surrogate models for engineering simulations. He has authored 164+ publications, led 17 projects, and received awards including the Best Paper Award (IDEAL 2017) and Turing Fellowship. His work contributes to UN Sustainable Development Goals related to industry innovation and climate action.

William Sellersمشاهده پروفایل

استاد

• Biomechanics
• Paleontology
• Computational Zoology
• +۴ مورد دیگر

William Sellers is a Professor in Natural Science at The University of Manchester, specializing in computational zoology and paleobiomechanics. His research focuses on numerical and robotic techniques to study locomotion mechanics, fossil behavior, and comparative anatomy. He leads projects on velocity change mechanics in organisms (humans, primates, dinosaurs) and multidimensional imaging for ancient manuscripts. Collaborations include the RAI Centre for Robotics and the ICAL for Ancient Life. His work spans biomechanical modeling, evolutionary robotics, and multispectral imaging, contributing to Sustainable Futures and Digital Futures initiatives. Research Interests: Locomotion evolution, biomechanics, fossil reconstruction, robotics. Education: Background in human functional anatomy and industrial image analysis. Projects: Includes 'Evolutionary mechanisms in dinosaurs' and 'Fusion reactor digital twins'. His research integrates experimental biomechanics with high-performance computing, advancing understanding of ancient life through computational methods. He actively supervises PhD students in locomotion, biomimetics, and paleontology.

Alexander Hayesمشاهده پروفایل

استاد

• Planetary Science
• Comparative Planetology
• Remote Sensing
• +۲ مورد دیگر

Dr. Alexander Hayes is the Jennifer and Albert Sohn Professor of Astronomy and Director of the Cornell Center for Astrophysics and Planetary Science (CCAPS) at Cornell University. He holds an M.Eng in Applied Physics from Cornell and a PhD in Planetary Science from Caltech. His research uses remote sensing to study geological processes on planetary surfaces, with emphasis on Titan, Mars, and comets. Research Focus: Hayes investigates surface-atmosphere interactions on Titan, Mars sedimentology, and icy satellite evolution. His group develops quantitative analysis methods for radar, visible, and infrared data from spacecraft missions including Cassini, Mars rovers, and Europa Clipper. Publications: His work spans Titan's hydrocarbon hydrology, Martian paleoclimate reconstruction, comet surface evolution, and instrument development. Recent articles focus on Dragonfly mission planning, icy moon volcanism, and radar analysis techniques. Honors: Recipient of the Zeldovich Medal, Ronald Greely Award, Sigma Xi Procter Prize, and NASA Early Career Fellowship. Served on Science Definition Teams for Europa Lander and Ice Giants missions. Leadership: Directs the Spacecraft Planetary Image Facility (SPIF) and COMPASSE Research Group. Advises 7+ graduate students and collaborates on NASA missions including Europa Clipper and Mars 2020.

Kyle Cavanaughمشاهده پروفایل

استادیار

• Coastal Ecology
• Biogeography
• Spatial Ecology
• +۳ مورد دیگر

Kyle Cavanaugh is an Assistant Professor at UCLA's College of Letters and Science specializing in coastal ecosystem dynamics. His research employs remote sensing and spatial analysis to study kelp forests, mangroves, and coastal vegetation responses to environmental change. Research interests include the impacts of marine heatwaves on kelp canopies, mangrove range expansion under climate change, and wildfire effects on coastal water quality. Recent work focuses on developing advanced monitoring technologies including hyperspectral imaging and digital twins for ecological projections. Publications demonstrate consistent focus on coastal resilience, with emerging themes in climate adaptation strategies and conservation technology. Recent articles examine thermal stress responses in marine forests, satellite-based biomass quantification, and restoration project evaluation following extreme weather events. Research employs diverse methodologies from field surveys to machine learning applications for habitat classification using PlanetScope imagery and CubeSat data.