جستجوی استاد راهنمای دانشگاهی

Mark Turnerمشاهده پروفایل

مدرس

• Software Engineering
• Evidence-based Software Engineering
• Service-based Software Engineering
• +۳ مورد دیگر

Dr. Mark Turner is a Lecturer in Computer Science (Projects & Engagement) at Keele University's School of Computer Science and Mathematics. His academic background includes an MSc in Information Technology (2001) and a PhD (2007) from Keele University, focusing on 'Controlling Access to Distributed Data Services.' His research interests center on Software Engineering, particularly evidence-based practices, service-based systems, and cybersecurity/access control. He coordinates academic projects and industrial placements across Computer Science and Mathematics, including roles as Examinations Officer and Project Coordinator for both undergraduate and postgraduate programs. Dr. Turner's teaching portfolio includes advanced modules like Third Year Double Project, MSc Industrial Placement, and Mathematics Work Placement, alongside foundational courses in Database Systems and Object-Oriented Programming. His administrative roles reflect his commitment to academic governance and student support. His publications, primarily in software engineering and related fields, are accessible via ResearchGate. Although no scientific awards are explicitly listed, his work contributes to key areas like cybersecurity and project management methodologies. His research and teaching emphasize practical applications of theoretical computer science principles. Dr. Turner collaborates closely with industry partners through project placements, bridging academic theory with real-world software development challenges. His administrative contributions ensure smooth academic operations, including placement coordination and examinations administration.

Rachael Nolanمشاهده پروفایل

دانشیار

• Bushfires
• Fire ecology
• Plant ecology
• +۲ مورد دیگر

Associate Professor Rachael Nolan is part of the Hawkesbury Institute for the Environment (HIE) at Western Sydney University, specializing in fire ecology and plant ecophysiology. Her research focuses on ecosystem responses to disturbances, particularly wildfires, and their impacts on carbon sequestration, habitat, and water resources. She has developed models to predict fire behavior and assess fuel dynamics, contributing to fire management strategies. Research Interests: Nolan’s work integrates field studies, remote sensing, and modeling to understand post-fire recovery, flammability dynamics, and climate change impacts on ecosystems. Key areas include predicting tree mortality post-fire, quantifying carbon costs of wildfires, and improving fire risk prediction tools. Her research also explores plant strategies in semi-arid environments and the role of forests in carbon accounting. Grants & Projects: Nolan leads or co-leads over a dozen projects funded by organizations like the NSW Government, Australian Research Council, and Bush Heritage Australia. Recent projects include 'Monitoring dieback in coastal IFOA region forests' (NSW Natural Resources Commission, 2024) and 'Physics-aware machine learning for data-driven fire risk prediction' (NSW Department of Planning, 2022–2024). Awards: Recognized with the 2023 Association for Fire Ecology Early Career Award and the 2021 Eureka Prize for Applied Environmental Research. She holds fellowships from the University’s Research Support Program and the NSW Smart Sensing Network. Labs & Teams: Active in the HIE Bushfire Research Group and collaborates with interdisciplinary teams on initiatives like the NSW Bushfire and Natural Hazards Research Centre. Her work bridges ecology, hydrology, and climate science to address global fire challenges.

• Geological Remote Sensing
• Hyperspectral Imaging
• Mineral Exploration
• +۳ مورد دیگر

Dr. Richard Gloaguen serves as Head of the Exploration Department at the Helmholtz Institute Freiberg for Resource Technology (HZDR), part of the Helmholtz-Zentrum Dresden-Rossendorf. His work focuses on advancing geospatial technologies and hyperspectral imaging for sustainable resource management. Key areas include mineral exploration, environmental monitoring of mining sites, and AI-driven analysis of geological data. Research interests emphasize integrating remote sensing, machine learning, and robotics for applications in resource technology, including hyperspectral imaging of drill cores, UAV-based geophysical surveys, and recycling stream characterization. He leads projects such as MOSMIN (multiscale mining observation), MULSEDRO (drone-based mineral exploration), and the development of open-source tools like the HYDE hyperspectral denoising package. His recent publications highlight innovations in 3D hyperspectral point cloud segmentation, satellite-based environmental monitoring of mine areas, and benchmark datasets for material classification. He collaborates globally on initiatives like the RAMSES-4-CE project for e-waste sensor networks and the Open Geology Database (OGD) platform. Dr. Gloaguen’s team develops autonomous robotic systems for underground mining mapping and has pioneered methods for real-time hyperspectral data processing during core logging. His work bridges geoscience, engineering, and computer science to address challenges in sustainable resource extraction and recycling.

Stefan Heubergerمشاهده پروفایل

مدرس

• Tectonics
• Stratigraphy
• Georesources
• +۵ مورد دیگر

Dr. Stefan Heuberger is a Lecturer at the Department of Earth and Planetary Sciences at ETH Zurich. He specializes in tectonics, stratigraphy, and geological mapping, with a focus on Alpine geology and georesources. His research integrates seismic interpretation, thermochronometry, and remote sensing to study structural evolution and resource characterization. He is affiliated with the Swiss Georessources Group (Fachgruppe Georessourcen Schweiz) and holds memberships in key organizations like the Society of Exploration Geophysicists (SEG), American Association of Petroleum Geologists (AAPG), and the Swiss Geological Society (SGS). His work spans from active faulting in Lake Constance to the tectonic history of the Karakoram-Kohistan Suture Zone. Dr. Heuberger has contributed to projects like the St. Gallen Fault Zone study and the PEGASOS Refinement Project, advancing understanding of geothermal systems and seismic hazard assessments. He emphasizes innovative applications of geospatial technologies and machine learning in geological data analysis. Key Research Areas: Alpine tectonics, seismic interpretation, thermochronometry, georesources exploration Technical Expertise: 3D seismic analysis, Raman thermometry, GIS automation Notable Projects: Swiss Geotechnical Commission history, Rhine River incision dynamics, Karakoram suture zone kinematics His publications highlight interdisciplinary approaches to resolving complex geological questions in both regional and international contexts.

José Manuel Álvarez Martínezمشاهده پروفایل

پژوهشگر

• Ecology
• Conservation Biology
• Remote Sensing
• +۷ مورد دیگر

José Manuel Álvarez Martínez is a researcher affiliated with the Universidad de León (Spain) who completed his PhD in 2010 with the thesis Análisis y modelado multiescalar de los efectos del cambio global sobre la dinámica y función del paisaje en espacios de montaña , supervised by Dr. Estanislao de Luis Calabuig and Dr. Susana Suárez Seoane. His research focuses on Ecological modeling of landscape dynamics Remote sensing applications in conservation biology Forest expansion and socio-ecological sustainability Human-wildlife conflict mitigation Digital soil mapping techniques Ecosystem service assessment Key publication trends (2015-2021) reveal expertise in: LiDAR and satellite data integration Species distribution modeling (MaxEnt, BIOMOD) Anthropogenic impact quantification Carbon cycling in fluvial systems Land abandonment effects on vegetation patterns Statistical-mechanistic model comparison His work has contributed to Natura 2000 conservation strategies and climate change adaptation frameworks. Notably, he developed a mechanistic model for soil organic matter prediction that showed 0.8 correlation with statistical approaches while enabling extrapolation capabilities.

Stephen John Eglenمشاهده پروفایل

استاد

• Computational Neuroscience
• Neurodevelopment
• Retinal Development
• +۳ مورد دیگر

Stephen John Eglen is a Professor in Computational Biology at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge. He holds the position of Reader, focusing on computational neuroscience with expertise in retinal and visual pathway development. His research explores structural and functional aspects of neural circuit formation, including positional information in retinal neurons and synaptic connectivity mechanisms. Eglen is affiliated with the Computational Biology research group and has contributed to open science initiatives like CODECHECK and DeepClean. His academic career includes roles as a Wellcome Trust Fellow (1997–2000), Lecturer at the University of Edinburgh (2000–2001), and Senior Lecturer at DAMTP (2006–2015). His work bridges computational methods with experimental neuroscience, emphasizing reproducible research practices and computational tools for data analysis. Eglen's research interests span computational modeling of neural development, open science advocacy, and neurophysiological data analysis. He has published extensively on topics like retinal mosaics, neural network topology, and Bayesian statistical methods. His lab develops tools for analyzing neuronal activity in vitro and promoting transparency in scientific workflows.

Anna Gülcherمشاهده پروفایل

پژوهشگر ارشد

• Planetary Science
• Geophysics
• Venus Exploration
• +۳ مورد دیگر

Anna Gülcher is a computational Earth and planetary scientist specializing in planetary evolution and habitability, particularly focusing on Venus. She currently serves as Deputy Director of the Center for Space and Habitability (CSH) at the University of Bern and holds roles in NASA’s VEXAG Steering Committee and ESA’s EnVision mission. Her research integrates geophysical modeling, space mission contributions, and interdisciplinary collaboration. Affiliations: CSH (University of Bern), NASA VERITAS mission, Swiss National Centre of Competence in Research PlanetS. Education: PhD in Geophysics (ETH Zurich, 2022), MSc in Geophysics (ETH Zurich, 2018), BSc in Earth Sciences (Utrecht University, 2016). Her research interests span Venusian tectonics, mantle dynamics, and mission science, with recent work on corona structures and lithospheric processes. She leads the CSH fellowship project exploring Venus as a planetary laboratory for Earth-like exoplanets. Awards: NASA ROSES Grant, ESA EnVision IDS selection, CSH Fellowship, ETH Zurich MSc Medal, and multiple grants from SNSF and Swiss institutions. Leadership: Chair of Planetary Equity group at ETH Zurich, organizer of international workshops, and contributor to science policy advocacy for planetary science funding. Future roles: Tenure-Track Professor in Earth and Planetary Geodynamics at the University of Freiburg (2026), launching a new research group on geodynamic modeling.

Meredith Christine Schumanمشاهده پروفایل

استادیار

• Molecular Ecology
• Chemical Ecology
• Plant–Herbivore–Microbe Interactions
• +۷ مورد دیگر

Meredith Christine Schuman is an Assistant Professor at the University of Zurich (UZH), with dual affiliations in the Department of Geography and the Department of Chemistry. She previously held positions as a group leader at the Max Planck Institute for Chemical Ecology and a Junior Group Leader at the German Center for Integrated Biodiversity Research (iDiv). Her research program integrates molecular ecology, chemical signaling, and remote sensing to investigate genetic and functional diversity in plant systems. Research Interests: Her work spans molecular ecology, chemical ecology, and ecological genomics, with a focus on how spatial and temporal variation in plant traits influences ecological outcomes. She investigates plant volatiles, defense mechanisms, and the role of genetic diversity in species interactions. Her lab leverages advanced techniques such as imaging spectroscopy, metabolomics, and robotic sampling to study plant responses to herbivory and environmental stress. The most recent publications highlight a strong interdisciplinary trend, combining remote sensing , plant genomics , and chemical ecology . Key themes include the use of leaf spectroscopy to detect drought responses, the role of the circadian clock in plant defense, and the integration of metabolomics with biodiversity monitoring. Her research increasingly bridges field ecology with data science, particularly in trait imputation and satellite-based biodiversity mapping. Scientific Awards: Max Planck Society Otto Hahn Medal Fulbright Scholarship Advising and Grants: She actively mentors graduate students, as evidenced by her supervision of multiple master’s theses and doctoral dissertations. She leads scientific working groups such as the International Team "Genes from Space" and has secured research funding through her affiliations with MPICE, iDiv, and UZH. Her collaborative network is extensive, involving researchers across Europe and North America in large-scale ecological and genomic initiatives. Labs and Teams: Her research group combines molecular biology, chemical analysis, and remote sensing technologies. She collaborates closely with the Schaepman lab at UZH and participates in interdisciplinary teams focused on biodiversity monitoring, plant–insect interactions, and global change ecology.

Yichuan Zhuمشاهده پروفایل

استادیار

• Machine Learning in Geotechnical Engineering
• Computational Geomechanics
• Uncertainty Quantification
• +۹ مورد دیگر

Yichuan Zhu is an Assistant Professor in the Department of Civil and Environmental Engineering at Temple University's College of Engineering. He leads the Computational Geosystems Group (CGG), focusing on interdisciplinary research at the intersection of civil engineering, geosciences, and computer science. Research Interests: Dr. Zhu’s work centers on applying machine learning, uncertainty quantification, and computational modeling to geotechnical and geological challenges. Key areas include granular mechanics, landslide characterization, remote sensing applications, risk and reliability assessment, and AI-driven geosystem modeling. His research combines physical principles with data-driven techniques to enhance predictive accuracy and decision-making in complex earth systems. Publication Trends: His recent publications (2021–2025) reflect a strong emphasis on integrating machine learning (including transformers and Bayesian deep learning) with traditional geomechanical models. Topics span tunnel safety, jet grouting, seismic site response, and landslide susceptibility, demonstrating a consistent focus on uncertainty-aware, AI-enhanced solutions for geotechnical problems. Professional Recognition and Activities: Chair, Session MS 0706 (Natural Hazards), EMI/PMC 2024 Conference Presented at Geotechnical Frontiers 2025 and Geo-Congress 2024 Actively recruiting fully-funded Ph.D. students Advising and Teaching: Dr. Zhu advises Ph.D. students, including Dr. Khabiri, whose dissertation informed recent conference presentations. He teaches core undergraduate and graduate courses in soil mechanics, foundation engineering, and geotechnical earthquake engineering (CEE 2011, CEE 3331, CEE 4821–4823, CEE 5821–5823). His lab, the Computational Geosystems Group, supports ongoing research in AI and computational geosciences. Research Group: The Computational Geosystems Group (CGG) conducts cutting-edge research in probabilistic modeling, geosystem simulation, and data-driven geotechnics. The team is actively expanding, with funded positions available for graduate researchers.

• Fire Ecology
• Climate Change
• Ecosystem Dynamics
• +۵ مورد دیگر

Jennifer Balch is an Associate Professor of Geography at the University of Colorado Boulder and Director of the Environmental Data Science Innovation & Inclusion Lab (ESIIL) at the Cooperative Institute for Research in Environmental Sciences (CIRES). Her research focuses on global fire regimes, climate change impacts, and interactions between human activities and ecosystem dynamics. She actively contributes to environmental data science education through programs like the Earth Data Science Corps. Research Interests Dr. Balch investigates: Fire's role in the Earth system Fire-climate feedback loops Invasive grass-fire cycle dynamics Anthropogenic fire regime shifts Carbon cycle disruptions Wildfire risk to human settlements Recent Publication Trends Her 2022-2025 publications emphasize: Accelerated wildfire growth rates linked to climate change Indigenous data governance in environmental science Machine learning for fire prediction and vegetation mapping Sentinel satellite applications in forest monitoring Human-driven fire expansion in wildland-urban interfaces Climate-driven fire behavior modeling Scientific Recognition 2022: Clarivate Highly Cited Researcher Collaborative Efforts Dr. Balch leads: ESIIL - a national environmental data science center Earth Lab at CIRES Interdisciplinary teams developing fire growth algorithms She advocates for climate-adapted building codes and has been featured in major media outlets discussing wildfire risk management.

Anita Torabiمشاهده پروفایل

استاد

• Structural Geology
• Fault Mechanics
• Fluid Flow in Deformed Reservoirs
• +۶ مورد دیگر

Anita Torabi is a Professor in Structural Geology at the University of Oslo , affiliated with the Department of Geosciences. Her research focuses on structural geology, fault mechanics, fluid flow in deformed reservoirs, CO2 storage, geothermal reservoirs, and seismicity. She employs advanced methods such as 3D seismic analysis, fault asperity studies, and machine learning for geological applications. Key affiliations: University of Oslo, NORCE (2015-2018), Uni Research CIPR (2008-2018) Education: PhD in Geosciences (2008) - University of Bergen Research Interests include: Fault mechanics and deformation processes Fluid flow in faulted reservoirs CO2 storage and green energy solutions Geomechanics and seismic risk assessment Machine learning in structural geology Basement rock fracture analysis Recent Publications highlight trends in: 3D fault characterization using deep learning Fluid dynamics in siliciclastic-carbonate systems Seismic attribute analysis for fault geometry Compaction bands in Tertiary-Quaternary sequences Ontology-driven geological modeling Machine learning applications for CO2 storage Research Leadership includes projects such as: CO2 Seal and Bypass – COPASS CO2SafeQuest (fault behavior for CO2 storage) gigaCCS@UiO (Center of Excellence in Carbon Capture) VICCO (volcanic-sedimentary CO2 storage) Pool Studies CO2 Storage research group

• Image Analysis
• Bioenergy
• Cartography
• +۱۲ مورد دیگر

Paolo Zatelli is an Associate Professor at the University of Trento , Department of Civil, Environmental and Mechanical Engineering. His academic career spans over two decades, with research expertise in geomatics, photogrammetry, and open-source GIS applications. Department of Civil, Environmental and Mechanical Engineering (since 2001) Researcher in ICAR06 (Topography and Cartography) International collaborations in geospatial projects Education includes a degree in Environmental and Territory Engineering (1993, 110/110 with honors) and a PhD in Topographic and Geodetic Sciences (1998). He has taught courses in GIS, Digital Cartography, and GPS surveying. Research Interests focus on geospatial technologies and their applications. Key areas include digital photogrammetry , wavelet applications in geodesy , GPS survey planning , and open-source GIS development . His work extends to environmental monitoring, historical cartography analysis, and sustainable forest management systems. Publication Trends show sustained contributions to FOSS4G (Free and Open Source GIS) applications, with recent work covering topics like landscape metrics , EV charging infrastructure , beta diversity analysis , and historical map digitization using GRASS GIS and QGIS. Scientific Contributions include: Member, IAG Special Study Group 4.187 on Wavelets in Geodesy Organizing committee, IV Hotine-Marussi Symposium Key developer of GRASS GIS applications Contributor to GOCE satellite geodesy projects Teaching and Mentorship highlights his role in both academic and professional GIS training, with over 20 theses supervised. His Technical Contributions involve developing open-source tools for spatial database management, statistical analysis, and georeferencing workflows.

• Mountain Research in the Alps
• Border Studies
• Regional Economic Geography
• +۷ مورد دیگر

Markus Lambracht is a Researcher and Project Manager at the Department of Geography and Geosciences, Institute of Geography, Friedrich-Alexander University Erlangen-Nuremberg. He works within the Regional Development working group led by Prof. Dr. Tobias Chilla, focusing on interdisciplinary research at the intersection of physical geography, socio-economic analysis, and spatial planning. His research expertise spans three interconnected domains: Mountain research in the Alps, Border Studies, and Regional Economic Geography. Lambracht's work emphasizes quantitative spatial analysis and data visualization techniques to examine how topography and relief influence socio-economic development patterns. His doctoral research investigates the role of physical terrain in regional development processes, challenging purely geodeterministic explanations while acknowledging material aspects of space. Recent publications demonstrate a clear trend toward applied research with policy relevance, particularly in Alpine spatial development, cross-border cooperation, and sustainable value chains. His work increasingly focuses on practical applications for regional governance, with strong connections to European policy frameworks like the Alpine Convention and EUSALP (European Union Strategy for the Alpine Region). Active participant in Interreg Alpine Space Program projects (ASTER and AlpTextyles) Technical advisor for German federal ministries on Alpine Convention matters Contributor to the Report on the State of the Alps Regular presenter at international conferences including International Mountain Conference and International Geographical Congress Lambracht's collaborative approach is evident in his extensive co-authorship network, particularly with Prof. Dr. Tobias Chilla and other researchers in the Regional Development working group. His research bridges academic inquiry with practical policy applications, making significant contributions to understanding spatial development processes in mountainous regions.