جست‌وجوی استاد و پژوهشگر

• Soil Science
• Pedology
• Geomorphology
• +۱۱ مورد دیگر

Carol Smith is an Associate Professor in the Department of Soil & Physical Sciences at Lincoln University, New Zealand, where she serves as Head of Department since 2017. She has been an elected academic staff member of the Lincoln University Council from 2018-2022. Dr. Smith holds a PhD from the University of Aberdeen, an MSc from the University of Reading, and a BSc(Hons) from the University of Portsmouth, forming the foundation of her expertise in soil science and physical geography. Her research spans both fundamental and applied aspects of pedology. On the fundamental side, she investigates Quaternary pedology and paleoenvironmental reconstruction using loess stratigraphy, geomorphology, and micromorphology, which provides critical data for verifying future climate change predictive models. Applied research focuses on sustainable use of recycled organic matter and rehabilitation of degraded soils. She collaborates internationally on multidisciplinary projects involving paleoclimate reconstruction, paleoliquefaction, Antarctic soils, and viticulture. Dr. Smith is passionate about teaching and science communication, employing experiential learning methods to develop practical field skills in soil science through 'soil judging competitions' in New Zealand and Australia. Her research addresses UN Sustainable Development Goals including Life on Land (15), Climate Action (13), and Quality Education (4). Among her notable recognitions are the Norman H Taylor Memorial award 2020 from the New Zealand Society of Soil Science for outstanding contributions to soil science in New Zealand and Fellowship in the Royal Geographical Society, London. She serves as Associate Editor of Natural Sciences Education and was previously editor of Quaternary Australasia. Dr. Smith has supervised numerous graduate students through research-based supervision, with completed projects covering diverse topics from soil patterns in Southland to Antarctic soil ecology. She teaches advanced courses in field research, soil science, and physical landscapes, and has developed innovative approaches to teaching during the pandemic, including virtual field trips.

Heike Wexمشاهده پروفایل

پژوهشگر

• Aerosol-Cloud Interactions
• Atmospheric Physics
• Ice Nucleation
• +۴ مورد دیگر

Dr. Heike Wex is a prominent atmospheric scientist at the Leibniz Institute for Tropospheric Research in Leipzig, Germany, where she serves as a Researcher in the Atmospheric Microphysics department. With over two decades of continuous research since completing her PhD in 2002, she has established herself as a leading expert in aerosol-cloud interactions and ice nucleation processes. Her work spans multiple international collaborations and major research initiatives including (AC)³, PICNIC, MarParCloud, and PI-ICE projects. Her research focuses on experimental investigations and theoretical descriptions of aerosol-cloud interactions, with specific expertise in hygroscopic growth at high relative humidities (>99% RH), particle activation to cloud droplets, heterogeneous ice nucleation processes, and the role of atmospheric aerosol particles as nuclei for cloud droplets and ice formation. Her work bridges atmospheric physics, climate science, and environmental chemistry, with significant contributions to understanding how microscopic processes affect cloud formation and climate. Analysis of her recent publications reveals a strong focus on polar and marine environments, with particular attention to biological contributions to ice nucleation, seasonal variations in Arctic aerosols, and the development of advanced measurement techniques. Her work consistently addresses fundamental questions about how aerosols influence cloud properties and climate systems, with increasing emphasis on climate-relevant processes in polar regions. Dr. Wex has held significant leadership positions, including serving as Vice President of the International Commission on Clouds and Precipitation (ICCP) from 2021-2024. She is also actively engaged with Scientists for Future in Leipzig, demonstrating her commitment to addressing climate change through scientific expertise and public engagement. Beyond her research, she has organized numerous scientific workshops and field campaigns, including leadership roles in the LExNo experiment, FROST projects, and the 16th International Conference on Clouds and Precipitation. Her work has established important methodological approaches for studying ice nucleation and has contributed significantly to our understanding of aerosol impacts on cloud formation across diverse environments from the Arctic to the tropics.

• Glacial Geomorphology
• Palaeoglaciology
• Quaternary Science
• +۶ مورد دیگر

Professor David J.A. Evans is a distinguished glacial geomorphologist at Durham University's Department of Geography. His research spans three interconnected themes at the interface of glacial geology and Quaternary science, focusing on palaeoglaciology and the reconstruction of former glaciers and ice sheets through time. With extensive field experience across the Arctic, North Atlantic, and Southern Hemisphere, he has contributed significantly to the understanding of glacial landscapes and processes globally. BA (Hons), St. David's University College, University of Wales, Lampeter, 1982 MSc, Memorial University of Newfoundland, Canada, 1984 PhD, University of Alberta, Canada, 1988 Professor Evans' research centers on glacial landsystems, glacial sedimentology, and Quaternary palaeoenvironments of glaciated basins. His work develops conceptual landsystems models for glacial process-form relationships, with field sites ranging from the Canadian High Arctic to mid-latitude mountains. He has pioneered research connecting subglacial process-form relationships to landform development models, particularly through his studies of active temperate glacier margins in Iceland. His sedimentological work has established a genetically framed classification scheme for tills and glacitectonites. Evans has contributed to major ice sheet reconstructions worldwide, including the British and Irish Ice Sheet (through the BRITICE-CHRONO project), Laurentide Ice Sheet, and Arctic Norway. His extensive publication record demonstrates consistent research activity with 15 recent articles focusing on ice sheet dynamics, glacial landform evolution, and Quaternary environmental reconstruction across multiple continents. These works reveal a strong emphasis on methodological innovation in mapping and analyzing glacial landscapes, with increasing integration of remote sensing and quantitative approaches to understand both contemporary glacier behavior and past ice sheet dynamics. Scientific Recognition: Busk Medal (Royal Geographical Society), 2017, for excellence and originality in the study of glacial landscapes and processes and empowering the next generation Professor Evans has collaborated extensively with international research teams on major projects including BRITICE-CHRONO and has contributed to engineering geology applications through technical guides for glaciated terrains. His work bridges pure academic research with practical applications in engineering geology and environmental management. He has supervised numerous field guides and edited influential publications in glacial geomorphology. His research involves extensive fieldwork in Iceland (particularly on the Vatnajökull ice cap), the British Isles, Canadian Arctic, and other glaciated regions, often using modern glacier systems as analogues for reconstructing past ice sheets. Evans has developed significant expertise in glacial landsystem mapping and interpretation, contributing to both academic understanding and practical engineering applications in glaciated terrains.

• Computer Vision
• Machine Learning
• Biomedical Informatics
• +۴ مورد دیگر

Charless Fowlkes is a Professor in the Department of Computer Science at the University of California, Irvine (UCI). His research focuses on computational vision, spanning human visual system understanding, machine vision systems, and applications in biomedical informatics and forensic science. He holds a Ph.D. from UC Berkeley (2005). His work integrates techniques from computer vision, AI, and applied mathematics to address challenges in automated biological data analysis, morphology, and spatial gene expression. Key research areas include forensic science (e.g., shoeprint matching via 3D reconstruction), biomedical applications (e.g., heart function mapping and pollen classification), and AI-driven systems for scene understanding. Recent projects include a $20M forensic science center funded by the National Institute of Justice. His publications emphasize geometric reasoning, 3D reconstruction, and adaptive learning algorithms. Notable contributions include developing algorithms for 3D human pose estimation with scene constraints, automated pollen identification via CNNs, and frameworks for cross-domain forensic analysis. His work bridges theoretical computer vision with real-world applications in forensics, healthcare, and environmental science.

Ben Millsمشاهده پروفایل

پژوهشگر ارشد

• Laser Technology
• Deep Learning
• Photonics
• +۳ مورد دیگر

Dr. Ben Mills is a Principal Research Fellow at the University of Southampton. His research focuses on the integration of deep learning with laser technologies, including applications in environmental monitoring, materials science, and biomedical imaging. He is a core member of the Smart Lasers and Special Fibres research group and leads projects such as Hearing Light and Lasers that Learn , funded by the EPSRC. His work spans laser beam shaping, material transfer, and diagnostic techniques using AI-driven photonics. Research Interests: Laser-material interactions Deep learning for optical systems Environmental sensing via lasers Biophotonics applications Additive/subtractive manufacturing Publications (2023–2025) highlight innovations in laser cleaning, beam optimization, and pollen imaging using low-cost hardware. His work bridges fundamental optics with applied machine learning solutions. External Contributions: Speaker at international conferences on AI in photonics (2019–2021) Keynote on predictive laser materials processing (2019) Presenter at invited sessions on particle sensing via deep learning (2020) Current Supervision: PhD students Luke Burke (Physics), Fedor Chernikov (ORC), and Yuchen Liu (ORC) work on laser beam control and environmental applications.

Charless C. Fowlkesمشاهده پروفایل

استاد

• Computational Vision
• 3D Scene Understanding
• Image Segmentation
• +۷ مورد دیگر

Charless C. Fowlkes is a Professor in the Department of Computer Science at the University of California, Irvine (UCI), and a member of the UCI Vision Group. His research focuses on computational vision, integrating visual recognition with 3D scene understanding and developing tools for biological image analysis. UCI Chancellor's Fellow (2019-2022) NSF CAREER Award recipient (2013) Helmholtz Prize winner (2015) Research Interests His work spans computational vision, image understanding, 3D scene reconstruction, and machine learning applications in biological and forensic domains. He develops methods for automated pollen classification, cardiac tissue analysis, and forensic shoeprint matching. Recent Publications His recent work includes 3D scene reconstruction with epipolar transformers, forensic shoeprint analysis, and image inpainting techniques. These show trends in integrating geometric understanding with deep learning. Scientific Awards Awarded the Marr Prize (2009), Helmholtz Prize (2015), and NSF CAREER Award (2013), he has received recognition for both theoretical and applied contributions to computer vision. Teaching & Advising He has taught graduate and undergraduate courses in computer vision since 2008 and advised numerous PhD, MS, and BS students who now work at institutions like Google, Apple, and CMU. Collaborations He collaborates with labs at UIUC (Punyasena Lab), Harvard (DePace Lab), and UCI (Cinquin Lab, Khine Lab) for biological applications of computer vision.

Min Shinمشاهده پروفایل

استاد

• Computer Vision
• Multiple Object Tracking
• Automated Visual Inspection
• +۴ مورد دیگر

Min Shin is a Professor and Chair of the Computer Science Department at the University of North Carolina at Charlotte (UNC Charlotte), where he also serves as Assistant Dean for Research in the College of Computing and Informatics. He earned his Ph.D. in Computer Science & Engineering from the University of South Florida in 2001. His research focuses on Computer Vision, particularly multiple object tracking and automated visual inspection of nuclear power plants. He leads the Video and Image Analysis Lab, developing user-friendly tracking software funded by NSF, NIH, DARPA, and industry grants. Notable projects include the ABCTracker.org platform, which deploys algorithms refined over 10+ years of research. Dr. Shin’s work spans tracking applications in diverse domains such as ants, bees, cells, termites, robots, and vehicles. He has mentored Ph.D. and undergraduate students extensively, emphasizing computational methods in biology and engineering. His service includes roles as Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics-B, and program committees for top conferences (ICCV, CVPR, ECCV). His grants and collaborations reflect interdisciplinary strengths in vision algorithms, usability, and real-world deployment.

Michalis Zervasمشاهده پروفایل

استاد

• Optical Communications
• Photonics
• Fibre Lasers
• +۳ مورد دیگر

Professor Michalis Zervas serves as Professor of Optical Communications at the University of Southampton's Optoelectronics Research Centre (ORC), leading pioneering research in photonics and laser technologies. His work integrates advanced optical systems with artificial intelligence to solve complex challenges in telecommunications, manufacturing, and medical diagnostics through major collaborations with industry and international research bodies. His primary research spans Optical Communications, Photonics, and Fibre Lasers, with specialized focus on deep learning applications for laser control optimization, coherent beam combination, and optical fibre sensor development. Current investigations include high-power photonics systems for industrial manufacturing and novel laser-based biomedical diagnostic platforms that bridge physics with healthcare innovation. Recent publications (2025) reveal a decisive trend toward AI-photonic integration, where deep learning algorithms enhance precision in laser-material interactions across diverse applications—from microbead cleaning and paint analysis to psoriasis treatment simulation and diatom imaging. This interdisciplinary approach demonstrates consistent methodological innovation in merging computational intelligence with fundamental laser physics. Supervises 6 PhD students including Rosemary Catriona Clark and Fedor Chernikov in ORC's photonics programs Secures major funding from EPSRC (Smart Fibre-Optic High Power Photonics, Hearing Light) and US Air Force Office of Scientific Research Leads collaborative projects with Professor Sir David Payne and Professor Johan Nilsson across national manufacturing hubs As co-leader of the Smart Lasers and Special Fibres research group within the Advanced Laser Laboratory, Zervas drives experimental photonics innovation through state-of-the-art fibre laser systems and optical resonator technologies. His team maintains strategic partnerships with global industry leaders in photonics manufacturing and medical device development.

Peter Longمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Environmental Modeling
• Biodiversity
• +۷ مورد دیگر

Dr Peter Long is a researcher at the University of Oxford specializing in satellite remote sensing and environmental modeling to study biodiversity, ecosystem services, and land cover dynamics. His work focuses on algorithm development for processing satellite data, high-performance computing, and GIS/RS software applications. Key projects: Biodiversity monitoring in Madagascar, Marine LEFT/LEFT tools, NaturEtrade, and Community-Based Conservation evaluation Technical expertise: Databases, R programming, web-based environmental tools, stakeholder engagement Research trends indicate interdisciplinary applications of remote sensing in conservation biology, agroforestry, and climate resilience. His publications span ecological modeling, historical land-use impacts, and wetland bird conservation. He has not been documented receiving scientific awards or mentoring students. No information is available about laboratory affiliations or team memberships.

Iwan Schieمشاهده پروفایل

استاد

• Raman Spectroscopy
• Biomedical Imaging
• Cancer Diagnostics
• +۳ مورد دیگر

Iwan Schie serves as Working Group Leader at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany, where he leads the Spectroscopy / Imaging Multimodal Instrumentation research group. His work bridges analytical chemistry, biomedical engineering, and clinical applications with a focus on developing Raman spectroscopy-based diagnostic tools. Dr. Schie maintains an active research program with numerous publications in high-impact journals across multiple disciplines. Dr. Schie's research centers on Raman spectroscopy applications in medical diagnostics and environmental monitoring. His work demonstrates particular expertise in developing multimodal imaging systems that combine Raman spectroscopy with complementary techniques like optical coherence tomography and fluorescence imaging. His research spans both fundamental methodological development and clinical translation, with several studies focusing on cancer diagnostics across multiple organ systems including head and neck, bladder, and colon cancers. The environmental applications of his work include microplastic detection and pollen analysis. Analysis of Dr. Schie's publication record reveals a clear trajectory toward clinical implementation of Raman spectroscopy technologies. His recent work increasingly focuses on regulatory-compliant medical device development, with multiple studies conducted in accordance with European Medical Device Regulation standards. The publications demonstrate progression from ex vivo validation studies to in vivo clinical applications, with particular emphasis on workflow integration within surgical settings. His collaborative approach is evident through extensive co-authorship networks spanning physics, engineering, and clinical medicine. Dr. Schie has made significant contributions to advancing Raman spectroscopy methodology, with publications addressing critical challenges in device stability, spectral analysis, and multimodal integration. His work on establishing clinical workflows represents important steps toward routine clinical adoption of these technologies. The practical impact of his research is demonstrated through development of systems like the invaScope Raman endoscopy platform for bladder tumor diagnosis. As Working Group Leader at Leibniz-IPHT, Dr. Schie oversees research activities in spectroscopy and multimodal imaging instrumentation. His team develops advanced optical systems for biomedical applications with particular focus on real-time tissue characterization during surgical procedures. The research environment supports both fundamental methodological development and applied clinical translation, with strong emphasis on regulatory compliance for medical device development.

Sajjad Ahmadمشاهده پروفایل

استاد

• Water Resources Management
• Surface Water Hydrology
• Climate Change Impacts
• +۴ مورد دیگر

Sajjad Ahmad is a Professor in the Department of Civil and Environmental Engineering and Construction at the University of Nevada, Las Vegas. His expertise spans water resources planning, surface water hydrology, climate change impacts, flood forecasting, and remote sensing applications for water management. He actively contributes to interdisciplinary research addressing sustainable water and energy use, urban microclimate effects, and environmental policy. His research focuses on integrating machine learning, remote sensing, and GIS technologies to tackle challenges in water quality monitoring, flood susceptibility modeling, and climate resilience. Notable projects include developing a climate resilience toolkit for Pakistan and analyzing the impacts of urbanization on water demand and runoff dynamics. Dr. Ahmad’s work emphasizes practical applications in arid regions and transboundary water management. His publications reflect a strong emphasis on data-driven solutions for environmental challenges, including studies on Lake Mead’s water quality, wildfire modeling in Northern California, and the effects of land cover changes on hydrological systems. Collaborations with international researchers highlight his commitment to global environmental issues.

Murielle GEORGES-LEROYمشاهده پروفایل

پژوهشگر

• Archaeology
• Antiquity
• Lidar Analysis
• +۳ مورد دیگر

Murielle GEORGES-LEROY is an Associate Researcher at the French Ministry of Culture’s SOPAST delegation, focusing on heritage inspection, research, and innovation. Her work bridges archaeology and environmental science, specializing in forest archaeology and the application of LiDAR technology. She holds roles as a General Curator of Heritage and Inspector of Heritage, contributing to the preservation and analysis of cultural sites. Her research emphasizes the Gallo-Roman rural world, particularly ancient land parcelling and settlement dynamics, often in collaboration with institutions like INRAE. Current projects include studying settlements on the Haye plateau in Meurthe-et-Moselle. She also manages archaeological data and archives, addressing challenges in scientific documentation and heritage management. GEORGES-LEROY’s publications span LiDAR applications, transborder archaeology, and historical land use. She has authored/co-authored over 50 works since 1990, including books like Le passé sous les arbres (2023). Her work highlights interdisciplinary approaches, integrating remote sensing, GIS, and environmental archaeology to explore human-environment interactions. Key contributions include advancing LiDAR’s role in uncovering fossilized agricultural structures under forests and advocating for innovative methods in cultural heritage preservation. She participates in international initiatives and policy discussions on archaeological data management and cross-border collaboration. GEORGES-LEROY’s expertise spans archaeological fieldwork, data analysis, and policy, with a focus on Lorraine’s historical landscapes and their modern ecological implications.

Wendy R. Eisnerمشاهده پروفایل

دانشیار

• Paleoecology
• Paleoclimatology
• Arctic System Science
• +۵ مورد دیگر

Wendy R. Eisner is an Associate Professor in the Department of Geography at the University of Cincinnati, with affiliate appointments in the Environmental Studies Program and Department of Women's, Gender, and Sexuality Studies. She has held academic positions at multiple institutions including The Ohio State University, University of Alaska Anchorage, and University of Utrecht. Dr. Eisner serves as Editor of Polar Geography and as Graduate Program Director for the Department of Geography at the University of Cincinnati. Dr. Eisner earned her Doctor of Science in Geography from the University of Utrecht (1999), Doctorandus in Pre and Protohistory from the University of Amsterdam (1984), Kandidaats (M.A.) in Cultural Anthropology from the University of Leiden (1984), and Bachelor of Arts in Anthropology from Barnard College, Columbia University (1975). Her research focuses on Arctic system science, specifically examining paleoecology and paleoclimatology through the lens of both scientific and Indigenous knowledge systems. Dr. Eisner's work integrates traditional Iñupiat knowledge with Western scientific approaches to understand landscape evolution, climate change impacts, and human-environment interactions in the Arctic. Her research spans multiple disciplines including environmental science, geography, anthropology, and gender studies, with particular attention to how indigenous communities perceive and respond to environmental change. Dr. Eisner's recent publication portfolio demonstrates a strong emphasis on integrating Indigenous Knowledge with climate and geomorphic studies in Arctic Alaska, particularly through GIS applications and community-based research approaches. Her work increasingly focuses on documenting environmental, cultural, and social changes as observed by Iñupiat elders over their lifetimes, creating valuable cross-generational knowledge records. Best of Show, Baraga County Fair, Baraga Michigan Adult Embroidery blue ribbon (2010) Dr. Eisner has secured numerous significant research grants, primarily from the National Science Foundation, totaling over $2.5 million as Principal Investigator or Co-PI. Her major projects include "Connecting Indigenous Knowledge to Landscape Process Research" (NSF-BCS-0548846, $249,000), "Advanced End-to-End Cyberinfrastructure Installation" for the Barrow Global Climate Change Research Facility (ARC-0641623, $822,340), and "Changes in Lake Dynamics on the Arctic Coastal Plain" (ARC-0713813, $378,618). She has also served on the U.S. Civilian Research and Development Foundation panel for Geosciences. Dr. Eisner leads research teams focused on the Arctic Coastal Plain of Alaska, working collaboratively with Alaskan Native elders and communities. Her projects often involve interdisciplinary teams of geographers, environmental scientists, anthropologists, and indigenous knowledge holders to document landscape changes and develop integrated knowledge systems for understanding Arctic environmental dynamics.

• Environmental Informatics
• Bioaerosol Monitoring
• Computer Vision Applications
• +۳ مورد دیگر

Valiulis Gediminas serves as an Associate Professor at Vilnius University's Šiauliai Academy within the Department of Informatics Engineering. His academic career spans both engineering fundamentals and advanced environmental applications, with a pronounced shift toward bioaerosol monitoring and computer vision systems since 2018. His research interests focus on Environmental Informatics and Automatic Bioaerosol Detection , particularly developing computer vision models for pollen classification using light scattering techniques. This work bridges Environmental Science , Computer Vision , and Public Health through real-time pollen monitoring systems that serve allergy sufferers. His methodology combines fluorescent particle analysis , clustering algorithms , and sensor calibration to advance aerobiological research. Analysis of his publication trends reveals a strategic evolution: early work (2004-2012) centered on control systems engineering (granulation processes, microinverters), while recent output (2018-2024) demonstrates deep specialization in bioaerosol informatics . Key contributions include the Rapid-E particle counter validation, ozone-pollen interaction studies, and real-time pollen forecasting systems for clinical applications. His interdisciplinary approach connects atmospheric science with machine learning to solve environmental monitoring challenges. Automatic pollen recognition systems development Fluorescent bioaerosol characterization Real-time environmental data applications Computer vision for ecological monitoring While no formal advising relationships or scientific awards are documented in the source material, his collaborative research consistently involves multi-institutional teams across Lithuania and Europe. Current projects focus on enhancing bioaerosol sensor accuracy and developing clinical decision-support tools for allergy management through real-time environmental data integration.

• Computational Biology
• Environmental Health
• Respiratory Biology
• +۳ مورد دیگر

Adam Haber is an Assistant Professor of Computational Biology and Environmental Health at the Harvard T.H. Chan School of Public Health. His research focuses on understanding the interplay between environmental exposures, cellular mechanisms, and public health outcomes, with a particular emphasis on respiratory diseases, infectious disease sequelae, and the impact of climate change. He integrates computational approaches with experimental biology to study epithelial cell biology, immune responses, and disease pathogenesis. Key research areas include: lung epithelial development and repair, mechanisms underlying asthma and chronic respiratory conditions, long-term effects of SARS-CoV-2 on sensory systems, and environmental justice related to housing conditions and asthma disparities. His work bridges basic science and translational research, with recent studies exploring lipid metabolic reprogramming in chronic chemosensory dysfunction, myeloid cell dysregulation in post-COVID conditions, and the role of Hic-5 in bronchial epithelial mechanotransduction. His studies frequently employ single-cell profiling, spatial transcriptomics, and proteomic analyses to dissect cellular heterogeneity and signaling pathways. Notable findings include identifying Hic-5 as a master regulator of mechanical responses in asthma, linking poor housing conditions to childhood asthma rates in urban areas, and characterizing molecular circuits governing lung epithelial cell fate plasticity. His research also addresses climate change impacts on allergic disease prevalence and fungal pathogen interactions with airway epithelia. Despite his prolific publication record, no specific awards or grants are explicitly mentioned in the provided texts. His research team collaborates across disciplines, leveraging computational biology tools to address pressing public health challenges.