جست‌وجوی استاد و پژوهشگر

Geoffrey Pooleمشاهده پروفایل

استاد

• River Hydrology
• Aquatic Ecology
• Biogeochemistry
• +۵ مورد دیگر

Dr. Geoffrey Poole is a Professor in the Department of Land Resources and Environmental Sciences at Montana State University, with dual affiliations in the Institute on Ecosystems and the College of Agriculture. As director of the Montana State Fluvial Landscape Lab, he leads research at the intersection of river hydrology, aquatic ecology, biogeochemistry, and geomorphology. His educational foundation includes: Ph.D. in Environmental Science, University of Montana (2000) M.S. in Watershed Science, Utah State University (1990) B.S. in Environmental Science, Cornell University (1987) Dr. Poole's research program applies quantitative techniques—ecosystem modeling, data science, statistical analysis, and spatial analysis—to advance understanding of river ecosystems. He investigates hyporheic zone ecology, chemical transport in stream networks, floodplain geomorphology effects on habitat quality, and riverine habitat-biodiversity linkages. His work bridges field measurements with computational models to address complex environmental challenges in fluvial landscapes. Analysis of his recent publications reveals increasing emphasis on hyporheic exchange processes, nutrient cycling domains, and ecosystem engineering in streams. His research demonstrates methodological evolution toward constraint-based modeling of multi-element cycles and sophisticated spatial analysis of river networks, often through large collaborative projects addressing fundamental questions in aquatic science. Dr. Poole serves as Editor for Freshwater Science since 2011 and has engaged in science education outreach at Middle Creek Montessori (2014-2015). He teaches advanced courses including ENSC 311 (Fundamentals of Environmental Data Analysis) and LRES 511 (Environmental Data Management), training students in data science applications for environmental problem-solving. His active research program is supported by three National Science Foundation grants: The Impacts of Narrative-Based Risk Communication on Hazard Preparedness COLLABORATIVE RESEARCH: Leaky Rivers: Nutrient Retention and Productivity in Rocky Mountain Streams Under Alternate Stable States Coupled C, N and S cycling in coastal plain wetlands: climate change impacts on ecosystem dynamics The Montana State Fluvial Landscape Lab provides a collaborative research environment where students and faculty investigate riverscape ecology through field studies, computational modeling, and data-intensive approaches, advancing knowledge of river resilience in changing environments.

Serge Prudhommeمشاهده پروفایل

استاد

• Scientific Computing
• Finite Element Method
• Error Estimation
• +۷ مورد دیگر

Serge Prudhomme is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. With a background including a Dipl. Eng. from École Centrale de Lille, an M.Sc. from the University of Virginia, and a Ph.D. from UT Austin, he has established himself as a leading researcher in computational mathematics and mechanics. His primary research interests span scientific computing, finite element methods, error estimation and adaptive methods, multi-scale modeling, verification and validation of numerical calculations, uncertainty quantification, and model reduction. Professor Prudhomme's work demonstrates a consistent focus on developing mathematically rigorous computational frameworks with practical engineering applications. His recent publications show an expanding interest in integrating machine learning techniques with traditional numerical methods. Analysis of his recent publications reveals a strong trend toward interdisciplinary research that bridges computational mathematics with mechanics and increasingly machine learning. His work on peridynamics, proper generalized decomposition, and neural network applications to scientific computing represents cutting-edge developments in computational methods. The publications demonstrate a consistent focus on improving the accuracy, efficiency, and reliability of computational models. Professor Prudhomme has successfully supervised 10 graduate students to completion (4 doctoral theses and 6 master's theses), indicating a strong commitment to student mentorship. His supervision record spans topics including wave equation approximations, goal-oriented calibration, contact detection for ellipsoids, and PGD reduced-order modeling. His research is supported by active collaborations with institutions worldwide, as evidenced by his co-authorship patterns and conference participation across North America and Europe. The breadth of his work, from fundamental mathematical developments to practical engineering applications, positions him as a significant contributor to the field of computational science and engineering.

Suhyb Salamaمشاهده پروفایل

دانشیار

• Remote sensing of water quality
• Hydrological and water-resources management
• Radiative transfer modelling
• +۶ مورد دیگر

Suhyb Salama is Associate Professor of Remote Sensing of Water Quality and Water Resources Management at the Department of Water Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, the Netherlands. His research integrates radiative-transfer physics, machine-learning analytics and multi-sensor satellite data to unravel hydrological and water-quality processes from micro-scale spectroscopy to meso-scale land–atmosphere interactions, directly supporting UN Sustainable Development Goals 6 and 14. Education: PhD in Civil Engineering, Katholieke Universiteit Leuven, Belgium (2003) MSc in Hydraulic Engineering (magna cum laude), KU Leuven (1999) BSc in Civil Engineering, Damascus University, Syria (1993) Research interests: Salama’s scholarly work spans remote sensing of biogeophysical variables, spatiotemporal modelling of suspended sediments and algal blooms, radiative-transfer theory across visible to microwave domains, development of smartphone-based water-quality apps, detection of floating plastic litter, and assessment of groundwater–vegetation feedbacks. He combines optical, thermal and microwave observations with physical and data-driven models to deliver actionable information on water scarcity, pollution extremes and climate-change impacts. Recent publication trends (2023-2025): His latest articles focus on machine-learning quantification of estuarine sediment variability, advanced detection of floating plastics, smartphone calibration for citizen-based water-quality monitoring, spectral-textural mining mapping, and analytical derivation of water-clarity time series from Sentinel-2 imagery. Collectively these works push toward operational, open-source solutions for high-frequency, basin-scale water-quality monitoring and UN SDG reporting. Editorial & professional service: Salama serves as topical editor for the journal Remote Sensing (2020-2024) and has chaired sessions on long-term earth-observation of suspended particulate matter. He actively collaborates across Europe, Africa and Asia on projects that merge remote sensing, hydrodynamic modelling and capacity development. Teaching & capacity building: He teaches MSc courses on optical and microwave remote sensing for water resources, supervises MSc and PhD research, and champions problem-based learning that equips students with enterprising skills to tackle complex water and climate challenges.

• High temperature corrosion
• Micro coating
• Nano coating materials
• +۸ مورد دیگر

Dr. Ali Kadir is a Reader in Mechanical Engineering at the University of Salford's School of Science, Engineering & Environment. Previously serving as International Exchange Director for the School of Computing, Science and Engineering for nearly two decades until 2020, he currently acts as Admissions Tutor for BEng (Hons) and MEng (Hons) programmes in Aeronautical Engineering and Aircraft Engineering with Pilot Studies. With extensive teaching experience spanning Engineering Mathematics, Engineering Dynamics, and Mechanical Systems across multiple engineering disciplines, his academic career demonstrates deep commitment to engineering education. Dr. Kadir's educational background includes: BSc (Hons) Applicable Mathematics (Part Time, 1985-1991) - Project: Finite element analysis of heat transfer problems PhD in High temperature gas turbine micro and nanocoating CFD, FEA and experimental (Part Time, 2013-2021) His research spans multiple interconnected domains with primary focus on high temperature corrosion, micro and nano coating materials for jet engines, Finite Element Analysis, and Computational Fluid Dynamics. Additional research thrusts include biomechanics and orthopaedic engineering (particularly bone fracture analysis), electromagnetic smart materials, medical fluid dynamics, and renewable energy systems with nanofluid solar collectors. His methodology consistently integrates advanced mathematical modeling, finite element simulation, computational fluid dynamics, and experimental validation through flame spray coating techniques. Dr. Kadir's publication trajectory reveals strong interdisciplinary trends, with recent work (2022-2025) increasingly focused on nanofluid applications across aerospace, marine engineering, medical technologies, and renewable energy systems. His research demonstrates sophisticated integration of computational and experimental approaches to solve multi-physical engineering problems, with particular emphasis on nano-scale materials engineering and cross-domain applications. Professional recognition includes: Fellow of the Institute of Mathematics and its Applications (FIMA) As an active PhD supervisor, Dr. Kadir mentors students in high temperature corrosion modeling, nanocoatings development for aerospace/medical/marine applications, orthopaedic biomechanics (spinal analysis, bone stress modeling), and mathematical modeling of electromagnetic smart fluids. He serves as Associate Director of the Multi-physical Engineering Sciences Research Group (MPESG) under Prof. Anwar Bég, which provides critical infrastructure for computational and experimental research across engineering disciplines. The MPESG facilitates collaboration between theoretical modeling, simulation, and experimental validation, with strong industry connections in aerospace, marine engineering, and medical device sectors that enable translation of research findings into practical engineering solutions for complex real-world challenges.