Find Academic Supervisors

• Climate Change Science
• Physical Geography
• Ecology
• +5 more

Dunia H. Urrego is an Associate Professor in Biodiversity and Climate Change at the University of Exeter, UK since 2023, leading research at the interface of biosphere, human systems, and climate. Previously, she held roles including Senior Lecturer (2018–2023) and Lecturer (2013–2018) in Physical Geography at Exeter. She has been a Visiting Scientist at Utrecht University (2017–2019) and held postdoctoral positions at institutions such as Université Bordeaux (2010–2013) and the Florida Institute of Technology (2006–2010). Education : PhD in Biological Sciences from Florida Institute of Technology (USA), BEng in Forest Engineering from Universidad Nacional de Colombia. Her research focuses on biodiversity responses to environmental changes , including megafaunal extinctions , mangrove ecosystems , Amazon resilience , and climate-fire dynamics . She leads the international LaACER network studying abrupt climate change in the American tropics and has pioneered studies on Colombian climate communication . Her work integrates paleoecological data with modern observations to assess ecological resilience and future adaptation strategies. Her recent studies emphasize ENSO-driven forest disturbances , mangrove carbon sequestration , and Indigenous land-use impacts in tropical regions. Her research spans disciplines including paleoclimatology , geochemistry , and dynamic modeling . Key collaborations include global partnerships through LaACER, ERC-funded projects, and interdisciplinary teams addressing climate change impacts in tropical ecosystems.

• Plate Tectonics
• Geology
• Geophysics
• +4 more

Maryline Moulin is a prominent geophysics researcher specializing in plate tectonics, continental margin evolution, and integrated seismic analysis. She has led major oceanographic campaigns including PAMELA-MOZ05/03 and MAGIC projects, focusing on passive margins in the South Atlantic and East African regions. 2003 PhD from University of Western Brittany 2016 Project Leader for PAMELA campaigns Key collaborator in 15+ international seismic studies Her research spans diverse methodologies: Wide-angle seismic (OBS) profiling Multi-channel seismic (MCS) interpretation Gravity and magnetic anomaly analysis 3D structural modeling (Placa3D) Seismo-stratigraphic analysis Recent publications (2023-2025) reveal patterns in: Proto-oceanic crust formation Passive margin segmentation Quaternary contourite systems Transform margin tectonics Deep crustal architecture

• heterogeneous porous media
• flow and transport
• Geothermal systems
• +3 more

Jerry P. Fairley serves as a Full Professor in the Department of Earth and Spatial Sciences within the College of Science at the University of Idaho. His academic career spans three decades with continuous research contributions in hydrogeological systems and geothermal energy applications. Education: B.S. in Geology (1984) from State University of New York College at Cortland M.S. in Geosciences (1991) from University of Nevada, Las Vegas Ph.D. in Earth Resources Engineering (2000) from University of California, Berkeley Professor Fairley's research centers on fluid dynamics in complex geological media , with emphasis on heterogeneous porous systems, geothermal reservoir characterization, and environmental applications including carbon sequestration and nuclear waste disposal. His work integrates field measurements, geospatial analysis, and numerical modeling to address challenges in hydrothermal systems and arid-region groundwater management. Recent projects demonstrate particular expertise in Yellowstone hydrothermal dynamics and Chilean mining district hydrology. Analysis of his 15 most recent publications (2017-2024) reveals consistent focus on hydrothermal system behavior (particularly Yellowstone), groundwater recharge in arid environments (notably Chilean Andes), and geothermal resource assessment using geostatistical methods. His work bridges fundamental fluid mechanics with practical energy and water resource applications, often employing innovative field measurement techniques like ice box calorimetry and thermal anomaly mapping. Professor Fairley has led significant collaborative research initiatives including the NSF-funded project Constraining Heat Flux from the Shallow Geothermal System, Yellowstone Caldera (2013), demonstrating sustained external funding for his geothermal investigations. His fieldwork spans diverse geological settings from Idaho's Snake River Plain to active volcanic zones in Japan and Chile.

• Palynology
• Ecosystem Analysis
• Geographic Information Systems (GIS)
• +3 more

Peter Siska is a Professor in the Department of Biological Sciences at Louisiana State University Shreveport (LSUS), College of Arts and Sciences. He has been affiliated with LSUS since 2018 and works in the Science Building, Room 101. His research spans several key areas in environmental science and geospatial analysis. Palynology (pollen grain analysis for ecosystem health and climate change indicators) Geographic Information Systems (GIS) for natural resource management Geostatistical modeling of karst hazards Multifactorial statistical analysis of ecosystem dynamics His recent publications focus on spatial patterns of pollen distribution, karst hazard prediction, and geospatial modeling techniques. He teaches foundational courses in biology and advanced GIS/remote sensing courses.

Oluwaseun Priscilla OLAWALEView profile

Lecturer

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +5 more

Oluwaseun Priscilla Olawale is a Lecturer in Software Engineering at Near East University (Nicosia, Cyprus), where she is concurrently pursuing her master's degree in Software Engineering. She previously served as a teaching assistant at the same institution. Her academic background includes a Bachelor's degree in Computer Science from Bowen University, Nigeria, complemented by professional experience as an IT Specialist at the Standards Organisation of Nigeria and Software Developer at Royal Niger Company. Research Focus: Her work centers on developing reliable software solutions with emphasis on artificial intelligence applications. Primary domains include healthcare technology (medical imaging, remote healthcare, IoHT security), industrial systems (Industry 4.0 automation), cybersecurity (blockchain integration, anomaly detection), and educational technology (post-pandemic learning environments). She demonstrates consistent interest in interdisciplinary AI implementations bridging theoretical models and practical challenges. Publication Trends: Recent articles (2020-2025) reflect a progression from foundational surveys in data mining and blockchain verification toward applied AI solutions. Emerging themes include disaster prediction systems, audio-visual signal processing, and security-enhanced healthcare networks. Her technical approach frequently employs deep learning architectures (CNNs, VGG-16), blockchain frameworks, and signal processing techniques to address real-world problems across diverse sectors.

Mohammed Al DushaishiView profile

Associate Professor

• Subsurface Drilling
• Drilling Mechanics
• Drilling Fluids and Hydraulics
• +8 more

Mohammed Al Dushaishi is an Associate Professor in the School of Chemical Engineering at Oklahoma State University , focusing on subsurface drilling and geothermal energy. He holds a Ph.D. in Petroleum Engineering (2015), an M.S. in Petroleum Engineering (2012), and a B.S. in Mechanical Engineering (2010) from Missouri University of Science and Technology, with postdoctoral work in Geosciences and Geological Engineering (2016). Research Interests: Subsurface drilling, drillstring vibrations, drilling hydraulics, wellbore integrity, data analytics, and geothermal energy systems. Recent Article Trends: 2025 work on ANN-driven drilling optimization , 2024 studies on ionic liquid rheology and nanoparticle-enhanced cementing , and 2023 projects analyzing hard rock drilling efficiency and earth dam seepage . Funding: Secured $2.5M+ in grants, including US Department of Energy (2022-2025) and Helmerich & Payne, Inc. (2024-2025) for geothermal drilling and cuttings analysis projects. Laboratory: Leads the Subsurface Energy Extraction & Drilling Dynamics Laboratory , combining theoretical and experimental approaches to drilling challenges.

• Hydrology
• Environmental Modeling
• Water Resource Management
• +2 more

Tanja Denager serves as a Guest Researcher in the Department of Geosciences and Natural Resource Management (Geology section) at the University of Copenhagen's Faculty of Science. Her research focuses on quantifying water fluxes across diverse land cover types including forests, agricultural areas, heathlands, and wetlands using advanced soil-vegetation-atmosphere transfer models. Her educational background includes an M.Sc. in Environmental Engineering from the Technical University of Denmark (awarded June 3, 2013). Prior to her current position, she worked as an Environmental Engineer at NIRAS from January 2014 to November 2016. Denager's research integrates process-based modeling with observational data, utilizing the PEST software package for parameter estimation and uncertainty analysis. Her recent publications demonstrate expertise in multi-objective model calibration, field-scale water-energy balance analysis, and comparative evapotranspiration methodologies. Her work bridges data-driven approaches with hydrological modeling for catchment-scale applications. Her three recent publications show consistent focus on hydrological modeling techniques and water balance components. The 2023 Hydrology and Earth System Sciences paper represents her most current work on multi-objective calibration, while her 2022 Ph.D. thesis established foundational methodologies for field-scale analysis. Professional activities include a 2018 lecture on evapotranspiration estimation methods. Her research shows international collaboration patterns across multiple countries as indicated in network visualizations.

• Machine Learning
• Artificial Intelligence
• Data Analytics
• +9 more

Dr. Mukesh Prasad is an Associate Professor at the School of Computer Science , University of Technology Sydney (UTS). With expertise in Machine Learning , Artificial Intelligence , and Computer Vision , his research addresses applications in healthcare, biomedical science, and smart infrastructure. He holds a Ph.D. in Computer Science from National Chiao Tung University, Taiwan, and an M.S. in Computer and Systems Sciences from Jawaharlal Nehru University, India. Key research areas: Machine Learning, AI, Brain-Computer Interfaces, IoT, and Evolutionary Computation Industry experience: Principal Engineer at TSMC (2016-2017), Postdoctoral Researcher at National Chiao Tung University Dr. Prasad has secured competitive grants for AI applications in disaster response, conversational agents, and medical diagnostics. His work has been published in high-impact venues like IEEE , ACM Transactions , and Springer Nature , with over 200 peer-reviewed papers. He serves on editorial boards for journals including Frontiers in Neurorobotics and ACM Computing Surveys . Scientific Awards: Vice Chancellor Teaching and Learning Citation Award (2019) Alumni Fellowship for Ph.D. (2014) Golden Bamboo NCTU Fellowship (2010) Professional Members: IEEE (2011), ACM (2019)

• Computational Geoscience
• Scientific Computing
• Numerical Analysis
• +3 more

Magnus Bruaset is a Professor and Director of the Software & AI Department at Simula Research Laboratory , with expertise in computational geosciences, numerical methods, and quantum computing. His work spans geological modeling, PDE solvers, and software development frameworks like Diffpack. Education : PhD in preconditioned iterative methods for elliptic problems (1992), Master's in preconditioning symmetric systems (1988). Research Interests : Focus on numerical analysis, GPU acceleration of geological simulations, stochastic modeling for uncertainty quantification, and quantum computing strategy. Key projects include Hamilton-Jacobi solvers, particle-based flow models, and contributions to digital contact tracing systems. Advising & Collaboration : Co-developed PhD training workshops for scientific communication and contributed to industrial-academic partnerships. Collaborated with institutions including ChevronTexaco, Wolfram Research, and University of Oslo.

Mahdi KhodadadzadehView profile

Assistant Professor

• Machine Learning
• Data Mining
• Process Mining
• +9 more

Mahdi Khodadadzadeh is an Assistant Professor in the Department of Geo-information Processing, specializing in machine learning, data mining, and geospatial analysis. His work bridges traditional and deep learning methods with applications in mineral exploration, environmental modeling, and circular economy initiatives. Research outputs include novel cross-validation techniques for geospatial machine learning (Spatial+, dissimilarity-adaptive methods), hyperspectral mineral mapping for ore characterization, and hybrid models combining artificial neural networks with optimization algorithms. He actively contributes to open-access datasets and methodologies, particularly in drill-core analysis and multi-source data fusion. Collaborations with researchers like R. Zurita-Milla and R. Gloaguen are evident through co-authored publications and shared datasets. His work impacts domains such as mineral exploration, geospatial modeling, and sustainable resource management, with a focus on robust statistical evaluation frameworks and spectral-spatial analysis.

Dushmantha JayawickremeView profile

Associate Professor

• Geology
• Hydrology & Water Resources
• Geophysics
• +3 more

Dushmantha Jayawickreme is an Associate Professor of Earth Science at Southern Connecticut State University (SCSU), where he specializes in geology, hydrology, geophysics, and environmental systems. His research integrates geophysical methods with ecological and hydrological studies to understand environmental change and water resource dynamics. Research Focus: His work spans geophysical subsurface imaging , soil moisture variability , land-use impacts on hydrology , and environmental degradation in wetlands and agricultural landscapes . He employs tools like electrical resistivity, ground-penetrating radar, and remote sensing to analyze subsurface processes and their interactions with vegetation and climate. Grants & Funding: He has secured multiple grants, including: National Geographic Society ($20,000) for water crisis research in Southeast Asia (2023–2024) CSU/SCSU grants totaling over $15,000 for watershed and urbanization studies (2020–2024) Funding for Amazonian ecological rehabilitation and Argentine dry woodland research. Publications: His 15+ peer-reviewed articles (2007–2014) emphasize hydrological modeling , salinization processes , and geophysical applications in ecology , with fieldwork in Argentina, Sri Lanka, and the Amazon. Teaching: He teaches courses like Soil Science , Hydrology , Engineering Geology , and Data Visualization in Geosciences , fostering interdisciplinary geoscience education.

Anish SapkotaView profile

Assistant Professor

• Agricultural Water Management
• Precision Agriculture
• Drones and Remote Sensing
• +5 more

Dr. Anish Sapkota serves as Assistant Professor in the Department of Land Resources and Environmental Sciences within Montana State University's College of Agriculture. His research integrates precision agriculture technologies with soil and water sciences to develop sustainable crop production solutions through on-farm experimentation and data-driven modeling. His educational background includes: Ph.D. in Environmental Sciences, University of California, Riverside (2022) M.S. in Animal and Range Sciences, Montana State University (2018) Research focuses on Agricultural Water Management , Precision Agriculture , and Remote Sensing applications , with emphasis on drone technology, evapotranspiration modeling, and site-specific irrigation systems. His work bridges agronomy, data science, and decision-support tools for practical farm implementation. Recent publications (2021-2025) demonstrate consistent output in top agricultural journals, revealing a strong trend toward UAV/satellite-based irrigation management and water conservation strategies across diverse cropping systems including almonds, alfalfa, and turfgrass. Active grant portfolio includes: NASA-funded project evaluating OpenET for Montana precision irrigation USDA NIFA grants on cattle stubble grazing impacts and residue management University of Montana-supported ASSIST sensor testbed initiative He serves as reviewer for Agronomy Journal, Agrosystems Geosciences & Environment, and Irrigation Science while teaching courses in agricultural sensing and capstone projects. His Precision Crop, Soil, and Water Management Group provides students with direct experience in cutting-edge field technologies for sustainable agriculture.

Heather PriceView profile

Associate Professor

• Air Pollution
• Environmental Geography
• Public Health
• +7 more

Dr. Heather Price is an Associate Professor in Biological and Environmental Sciences at the University of Stirling, where she has been employed since 2015, progressing from Lecturer to Senior Lecturer and then to her current position. She serves in several leadership roles including BES PGR Director, Chair of the BES PGR Tutor team, and Faculty PGR Committee Member. Dr. Price is also the Academic lead for Stirling in the NERC Iapetus Doctoral Training Programme and holds significant external appointments as the UKRI Regional Clean Air Champion for Scotland and member of the Scottish Government's CAFS2 Public Engagement Working Group. Dr. Price's research focuses on improving public health through engagement with air quality issues, employing interdisciplinary approaches that bridge environmental science with geography, social science, and arts & humanities. Her work emphasizes community-centered methods including co-creation, citizen science, and participatory research. Current projects include the Forth Environmental Resilience Array (Forth-ERA), which deploys co-designed air quality monitoring networks across Stirlingshire and Clackmannanshire, and research on the impact of air pollution on bee cognition funded by the British Beekeepers Association. Her projects span both the UK and Africa, addressing environmental pollution and public health challenges through transdisciplinary collaboration. Her recent publications reflect a strong emphasis on air pollution, public health, community engagement, and water governance. Analysis of her work shows consistent integration of scientific rigor with participatory approaches, demonstrating how environmental research can be effectively translated into policy and behavioral change. Her research increasingly focuses on developing meaningful pathways for stakeholders to engage with environmental data through innovative digital repositories and participatory methods. Dr. Price has received notable recognition including her appointment as UKRI Regional Clean Air Champion for Scotland and Fellowship of the Higher Education Academy. Her professional activities extend to serving on the BSI standard committee on Indoor Air and contributing to national air quality policy development. As a supervisor, Dr. Price currently mentors two PhD students: Sydney Byrns on inclusive water governance in Malawi and Heather Anderson on reconciling scientific and non-scientific safe water realities. She previously supervised Amy McCarron's research on air pollution and sustainable behavioral changes. Her supervision approach emphasizes interdisciplinary collaboration and real-world impact, aligning with her broader research philosophy. Dr. Price leads the Forth Environmental Resilience Array (Forth-ERA), a living laboratory that provides environmental data and analytics to facilitate scientific research, improve environmental management, and stimulate business innovation in support of Scotland's transition to a net zero carbon society. This initiative exemplifies her commitment to creating research infrastructure that serves both academic and community needs.

• Environmental Education
• Outdoor Education
• Science Education
• +2 more

Sandra McEwan is a Sessional Lecturer in the Department of Curriculum, Teaching & Learning at the Ontario Institute for Studies in Education (OISE), University of Toronto, where she teaches Elementary Science and Environmental Education in the Master of Teaching Program. With over four decades of experience spanning K-12 teaching, teacher education, and educational leadership, she brings extensive practical knowledge to preparing future educators in science and environmental pedagogy. Her educational background includes: MEd in Science Education, University of Toronto/OISE (2000) BEd in Science and Environmental Science Education, University of Toronto/FEUT (1984) BSc in Biology, University of Toronto (1983) McEwan's research centers on nature-based learning, outdoor and environmental education, and differentiated instruction. She develops practical strategies for integrating environmental awareness into science curricula through hands-on, experiential learning in natural settings. Her work emphasizes making complex ecological concepts accessible to diverse learners while addressing real-world environmental challenges through classroom applications. Her publication record spans 30+ years with over 30 scholarly works, showing consistent focus on practical educational resources. Recent publications address contemporary issues like food systems education and acid rain impacts, while maintaining strong emphasis on outdoor learning methodologies and curriculum development for K-12 settings. The body of work demonstrates evolution from foundational environmental science resources toward integrated, systems-thinking approaches. As a Sessional Lecturer and former Faculty Advisor in the MT Program (2016-2023), she has mentored numerous pre-service teachers. Her extensive experience as both K-12 educator and teacher trainer provides unique perspective for guiding new educators in implementing effective science and environmental education practices.

• Information Security and Cryptology
• Artificial Intelligence
• Computer Software
• +3 more

Mehmet Ali YALÇINKAYA is a full-time Lecturer in the Department of Computer Engineering at Ahi Evran University's Faculty of Engineering and Architecture. His academic journey includes a PhD (2020) and MSc (2015) in Computer Engineering from Süleyman Demirel University, and a BSc in Electronics and Computer Education (2012). PhD: Computer Engineering, Süleyman Demirel University (2020) MSc: Computer Engineering, Süleyman Demirel University (2015) BSc: Electronics and Computer Education, Süleyman Demirel University (2012) His research focuses on Information Security and Cryptology , Artificial Intelligence , Computer Software , and Cybersecurity . Recent work includes phishing detection systems, deep learning applications for security, and AI-driven educational tools. Key article trends: 2025: NLP for violence detection in healthcare 2024: Multilayer security frameworks, AI in education, and biometric authentication 2023: Phishing defense mechanisms and agricultural pest detection He has supervised four Master's theses and collaborated with 48 researchers. Notable projects include a BCI-supported deep learning model for motor/facial analysis (2025-2027) and AI-powered educational systems for primary schools.