جست‌وجوی استاد و پژوهشگر

• Hydrogeophysics
• Vadose Zone Hydrology
• Data-Model Integration
• +۳ مورد دیگر

Dr. Paul A. Ferre is a Distinguished Professor of Hydrology and Atmospheric Sciences at the University of Arizona, holding a PhD in Earth Sciences (University of Waterloo, 1998) and a B.S. in Geophysical Engineering (Colorado School of Mines, 1988). He has been at the University of Arizona since 1999, contributing to research in hydrogeophysics and vadose zone hydrology, with a focus on integrating data and models for decision-making. His awards include the 2016 NGWA Darcy Lecturer and 2019 Distinguished Professor recognition. Ferre emphasizes 'learning by doing' pedagogy, employing flipped classrooms and Socratic methods in courses like hydrogeophysical methods and field hydrology. Research Interests: Dr. Ferre explores hydrogeophysical techniques, vadose zone dynamics, and model-data fusion. Recent work includes soil salinity modeling under drip irrigation, groundwater recharge estimation, and karst system simulations. His research often bridges field experiments (e.g., Landscape Evolution Observatory at Biosphere 2) with advanced modeling (e.g., PFLOTRAN). Publications: Over 150 peer-reviewed articles, including high-impact studies on soil evaporation dynamics, machine learning in hydrology, and groundwater monitoring. Recent trends focus on sustainable water management, climate-driven hydrological extremes, and agricultural hydrology. Awards & Honors: Distinguished Professor, University of Arizona (2019) NGWA Darcy Lecturer (2016) Research Fellow, Verschulen Centre (2013) Advising & Labs: Leads the Hydrology & Water Resources program at UA, mentoring students in field methods and numerical modeling. Active in the Landscape Evolution Observatory (LEO) project, studying coupled hydrological and biogeochemical processes in engineered landscapes.

Gabriel Spadonمشاهده پروفایل

استادیار

• Spatiotemporal Analytics
• Time-Series Forecasting
• Complex Network Mining
• +۱۳ مورد دیگر

Gabriel Spadon is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. He leads the MAPS Lab (Modeling and Analytics on Predictive Systems), focusing on spatiotemporal analytics, network science, and machine learning. His work is part of the Big Data Analytics, AI & Machine Learning research cluster. Education: PhD in Computer Science and Computational Mathematics, University of São Paulo (USP), 2021 MSc in Computer Science and Computational Mathematics, University of São Paulo (USP), 2017 BSc in Computer Science, São Paulo State University (UNESP), 2015 Research Interests: Gabriel Spadon’s research lies at the intersection of data science, machine learning, and geoinformatics . He specializes in spatiotemporal forecasting , complex network mining , and trajectory modeling , particularly in maritime and urban environments. His work integrates physics-informed AI, graph-based learning, and environmental data to improve predictive accuracy and decision support. Key domains include vessel movement prediction, environmental monitoring, and urban intelligence. Recent Publication Trends: His latest publications (2024–2025) focus on maritime mobility , using AIS data and physics-informed neural networks (PINNs) for vessel trajectory forecasting. He applies deep learning, clustering, and probabilistic fusion to model complex, multi-modal movement patterns. Other themes include fishing activity detection, port network analysis, and AI for public health and climate matching. Scientific Awards: Advising and Grants: Dr. Spadon supervises multiple graduate students and research assistants in the MAPS Lab, working on mobility data mining, physics-informed AI, and geospatial analytics. His research is supported by major grants from the Ocean Frontier Institute (OFI) , Canadian Space Agency (CSA) , Mitacs , and IMT Atlantique . He leads projects such as smartWhales , AISViz , and Physics-Informed Mobility Forecasting , involving international collaborations with institutions in Brazil and France. Labs and Teams: He is the Director of the MAPS Lab , which develops cutting-edge computational methods for predictive systems. The lab collaborates with the smartWhales initiative (DHI, WSP, Fisheries and Oceans Canada), MERIDIAN , and the Institute for Big Data Analytics . His team includes PhD and MCS students working on AI, data mining, and signal processing for real-world ocean and urban challenges.

Janine Kavanaghمشاهده پروفایل

استاد

• Volcanology
• Magma Dynamics
• Crustal Deformation
• +۳ مورد دیگر

Professor Janine Kavanagh is a volcanologist at the University of Liverpool , where she holds the Chair of Volcanology (2023-present). She pioneered the establishment of the MAGMA Lab in 2014 to investigate volcanic plumbing systems through experimental and numerical approaches. Her expertise spans magma ascent dynamics, dyke/sill propagation, and volcano-hazard modeling. UKRI Future Leaders Fellow (2020-2027) Executive Editor, Tektonika (2022-present) President, IAVCEI Commission on Volcanic Plumbing Systems (past) Her research interests focus on magma-fluid interactions, monogenetic volcanism, and geothermal system characterization. She employs analogue experiments using PIV (Particle Image Velocimetry) and integrates field studies with computational models to unravel magma propagation mechanics and their surface expressions. Her recent publications reveal trends in magma flow quantification, geothermal fluid-rock reactions, and volcanic monitoring techniques. Articles span numerical validations, CO2-brine interactions, multi-scale dyke analysis, and open science initiatives. Royal Society grant (2023-2025): Hydrothermal alteration in geothermal systems NERC grant (2023): Discovery science in magma dynamics UKRI FLF (2020-2027): Linking indirect observations with magma processes As a geoscience educator , she co-founded GeoHub Liverpool , a diamond open-access platform for educational resources. She led the Applied Geology and Geohazards of the Canary Islands module and contributed to seismic monitoring studies via her livestreamed field experiments .

Sreenivasulu Chadalavadaمشاهده پروفایل

مدرس ارشد

• Hydrogeology
• Groundwater modeling
• Contaminant transport
• +۵ مورد دیگر

Dr. Sreenivasulu Chadalavada is a Conjoint Senior Lecturer at the Global Centre for Environmental Remediation (GCER) within the College of Engineering, Science and Environment at the University of Newcastle, where he has been employed since 2016. He serves as Program Coordinator for two major research programs funded by the Department of Defence and BHP at CRC CARE, which is headquartered at the University of Newcastle. His work focuses on demonstrating cost-effective remediation solutions for contaminated sites across Australia. Dr. Chadalavada completed his Ph.D. research at the Centre for Environmental Risk Assessment and Remediation (CERAR) at the University of South Australia. His doctoral research focused on simulation-optimization modeling approaches to identify unknown groundwater pollution sources, which led to the development of a novel software tool in hydrogeological modeling. Prior to joining the University of Newcastle, he worked as an Adjunct Research Fellow/Senior Hydrogeologist at the University of South Australia and as a Research Associate at the Indian Institute of Technology Kanpur. Dr. Chadalavada's research career over the past decade has centered on cutting-edge groundwater modeling and hydrogeology, with a focus on efficient characterization of potentially contaminated sites. His expertise spans mathematical modeling of groundwater flow and contaminant transport in contaminated aquifers, vapour intrusion modeling, and simulation-optimization methods. He has developed specialized knowledge in applying genetic algorithms to environmental remediation problems and has extended his research to include climate change impacts on groundwater systems. His current and future research focuses on developing mathematical models to simulate various hydrogeological processes and vapour migration pathways. Analysis of Dr. Chadalavada's recent publications reveals a strong interdisciplinary approach combining environmental engineering, hydrogeology, and computational methods. His work spans traditional hydrogeological modeling, climate change impacts on water resources, and increasingly incorporates artificial intelligence and machine learning techniques for environmental prediction and monitoring. There is a clear progression toward more sophisticated computational approaches in his recent work, with applications ranging from water quality index prediction to construction damage detection following natural disasters. Dr. Chadalavada has secured significant research funding through CRC CARE, including a $758,318 project on electrokinetic remediation of hydrocarbon-contaminated soils, a $533,848 project on natural attenuation of vapors, and a $481,835 project on co-disposal of contaminated soils with mine waste. His research has resulted in numerous high-impact publications in environmental science and engineering journals. As an academic supervisor, Dr. Chadalavada has co-supervised multiple PhD students working on diverse environmental remediation topics including vapour intrusion modeling, climate change impacts on groundwater, and electrokinetic remediation techniques. His teaching responsibilities include courses in Hydrogeology and environmental remediation. Dr. Chadalavada works within the Global Centre for Environmental Remediation, a specialized research center focused on developing practical solutions for contaminated site management. His role as Program Coordinator for the Department of Defence and BHP research programs places him at the forefront of translating research into practical applications for major industrial and government stakeholders.

Alberto Tazioliمشاهده پروفایل

دانشیار

• Hydrogeology
• Applied Geology
• Groundwater Systems
• +۵ مورد دیگر

Alberto Tazioli serves as an Associate Professor in the Department of Materials, Environmental and Urban Engineering Sciences at the Università Politecnica delle Marche (UNIVPM) in Ancona, Italy. His academic specialization falls under GEOS-03/B - Geologia applicata (Applied Geology). Professor Tazioli maintains regular office hours on Tuesdays (11:15-13:00) and Wednesdays (9:30-10:45), with appointments arranged via email or Teams. His contact information includes phone number 071 2204719 and email a.tazioli@staff.univpm.it, with his office located at via Brecce Bianche 12. Professor Tazioli's research spans multiple domains within hydrogeology and applied geology, with particular expertise in groundwater systems, earthquake-hydrogeology interactions, isotopic hydrology, and karst aquifer characterization. His work integrates field investigations with advanced modeling approaches to understand complex water systems in mountainous regions, particularly in Central Italy. He frequently employs tracer tests, stable isotope analysis, and geomechanical surveys to investigate hydrological processes and their response to seismic events. His publications reveal strong methodological rigor and regional focus on Mediterranean hydrogeological systems. Analysis of Professor Tazioli's recent publications (2023-2025) reveals a strong focus on understanding how seismic events impact groundwater systems, particularly in the Central Apennines region of Italy. His research combines traditional hydrogeological methods with innovative approaches like UAV-based fracture mapping and machine learning for groundwater level prediction. A recurring theme is the application of isotopic techniques to delineate recharge areas and understand water origin in complex mountain catchments. His work demonstrates increasing sophistication in analytical approaches while maintaining practical applications for water resource management and natural hazard assessment. Professor Tazioli has made significant contributions to documenting the hydrogeological response to the 2016-2017 Central Italy seismic sequence, particularly regarding how earthquakes alter groundwater flow paths and chemistry. His research on the Montagna dei Fiori carbonate aquifer, Mt. Conero area, and Sibillini Mountains provides valuable insights into Mediterranean karst systems and their vulnerability to seismic activity. His work bridges fundamental hydrogeological science with practical applications for floodplain management, landslide assessment, and water resource sustainability in seismically active regions.

Manuel Antonettiمشاهده پروفایل

پژوهشگر

• Hydrology
• Environmental Science
• Water Resource Management
• +۶ مورد دیگر

Dr. Manuel Antonetti is a Researcher at the ZHAW School of Life Sciences and Facility Management , affiliated with the Institute of Natural Resource Sciences . His work focuses on hydrodynamic modeling of fluvial systems, hydrological modeling of catchments, and post-processing of remote sensing data. Doctorate in Geography from the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) (2013–2017) Double Master’s in Civil and Environmental Engineering (Water and Environment) from Università degli Studi di Trento & Karlsruhe Institute of Technology (KIT) (2010–2013) Bachelor’s in Environmental Engineering from Università degli Studi di Trento (2006–2010) Dr. Antonetti’s research spans hydrology , environmental science , and water resource management . His key contributions include developing the process-based runoff generation module RGM-PRO , which eliminates calibration needs through expert knowledge and sprinkling experiments . He also works on 2D water temperature simulations for fish habitat modeling, eDNA biodiversity assessments , and floodplain restoration using artificial flooding . His studies often integrate remote sensing data and GIS techniques to improve hydrological predictions in ungauged basins. His recent publications highlight trends in hydrodynamic modeling , eDNA applications , and ensemble flood forecasting . Articles analyze runoff processes in Alpine and Mediterranean regions, emphasizing dominant flow mechanisms (e.g., Hortonian overland flow, subsurface flow) and their implications for flood risk management. Dr. Antonetti collaborates with institutions like the University of Zurich, MeteoSwiss, and Swiss Federal Research Institute WSL. He utilizes ORCID ID 0000-0002-4693-9908 for academic identification.

Rohini Kumarمشاهده پروفایل

پژوهشگر

• Hydrology
• Environmental Modeling
• Climate Change Impact Assessment
• +۳ مورد دیگر

Dr. Rohini Kumar is a Researcher at the Department of Computational Hydrosystems within the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. He has been affiliated with this institution since 2010, focusing on advanced hydrological modeling and climate change impact assessments. Education: PhD from University of Jena (2010), Master of Technology from IIT Kharagpur (2006), Bachelor of Technology from Acharya N.G. Ranga Agricultural University (2004). Collaborations: Involved in international projects like 4DHydro, GRIP-E, XEROS, and GlobeWQ. Works with institutions such as Purdue University and GIZ. Research Focus: Rohini's work centers on multiscale hydrological modeling (e.g., mHM and mQM models) to address water and solute transport, drought/flood prediction, PUB (Prediction in Ungauged Basins), water-food-energy nexus analysis, and climate change scenarios. He also explores machine learning integration for hydrological inference and uncertainty quantification in water resource management. Recent Publications: His publications (2024–2018) emphasize drought and flood modeling, nutrient export dynamics, groundwater response to warming, and climate-demographic interactions. Key projects include Resilient 0-Pollution Wastewater Systems , WatQual-Fish , and MM4Sevan . Projects: Currently leads initiatives such as Resilient 0-Pollution Wastewater Systems (Saxony), WatQual-Fish (CASUS), and MM4Sevan (GIZ). Previously contributed to Global Water Quality (BMBF), XEROS (DFG/GACR), and EDgE (Copernicus C3S).

René Kahawitaمشاهده پروفایل

استاد

• Hydraulic Engineering
• Fluid Mechanics
• Numerical Simulation
• +۴ مورد دیگر

René Kahawita is a Full Professor at the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal . Holding a Ph.D. from Colorado State University, his research focuses on hydraulic engineering , fluid mechanics , and numerical simulation of water flow systems. His academic journey includes a B.Sc. from Imperial College , an M.Sc.A. from Waterloo , and a Ph.D. from Colorado State . As a member of the Experimental and Digital Water Flow Engineering Group (GENIE EAU) , he has supervised 16 graduate theses (6 Ph.D. and 10 Master's) on topics ranging from dam breach modeling to pollutant transport in porous media . Research Themes : Hydraulic modeling of rivers and estuaries Numerical simulation of fluid dynamics Air/water pollution dispersion analysis Heat transfer in environmental systems Computational methods for floodplain simulation Dam failure and breach formation The 15 most recent publications (1977-2019) demonstrate sustained expertise across fluid mechanics , environmental pollution , and computational hydraulics . Key methodologies include Godunov schemes , SPH techniques , and finite-volume methods .

Mofazzal Hossainمشاهده پروفایل

استاد

• Petroleum Engineering
• Hydraulic Fracturing
• Wellbore Stability
• +۳ مورد دیگر

Professor Mofazzal Hossain holds a faculty position at Curtin University within the WASM: Minerals, Energy and Chemical Engineering school. With a PhD in Petroleum Engineering from the University of New South Wales (UNSW), Australia, he specializes in reservoir stimulation via hydraulic fracturing , wellbore stability , and CO2-shale interactions . His work spans unconventional tight/shale gas reservoirs, horizontal well technology, and numerical modeling of fluid flow in porous media. Education: PhD (Petroleum Engineering, UNSW), MSc (Eng.), FIEAust (Fellow of Institute of Engineers Australia), CpEng (Chartered Professional Engineer) Research Interests: Hydraulic Fracturing Design , Rock Fracture Mechanics , Sand Production Prediction , and Supercritical CO2 Reservoir Interactions Publication Trends: Recent work focuses on hydrogen storage well integrity , CO2 geochemical modeling , and optimization of unconventional reservoirs . Scientific Awards : Fellow of the Institute of Engineers Australia (FIEAust) Chartered Professional Engineer (CpEng) Advising & Grants : Directed numerous academic research projects for petroleum engineering students (honors, masters, PhD) and secured funding from organizations including Chevron , Conoco Phillips , and Santos . Collaborated with the Reservoir Engineering Research Institute (RERI) on multi-component reservoir simulation projects.

Rouzbeh Ghanbar Moghanlooمشاهده پروفایل

دانشیار

• Enhanced Oil Recovery
• CCUS
• Flow Assurance & Emission Reduction
• +۵ مورد دیگر

Rouzbeh Ghanbar Moghanloo serves as the ONEOK Chair in Natural Gas Engineering and Management and Associate Professor at the University of Oklahoma's Mewbourne School of Petroleum and Geological Engineering, where he also directs the Natural Gas Engineering and Management Program. A prolific researcher with 148 peer-reviewed publications, his work bridges petroleum engineering and environmental sustainability through advanced computational methods. Education: B.Sc. in Chemical Engineering, Amirkabir University of Technology (2001) M.S. in Reservoir Engineering, Amirkabir University of Technology (2003) Ph.D. in Petroleum Engineering, The University of Texas at Austin (2012) Dr. Moghanloo's research integrates machine learning with petroleum engineering to tackle critical energy challenges, focusing on enhanced oil recovery, CO 2 sequestration, flow assurance, and unconventional resources. His pioneering work on asphaltene deposition modeling and multiphase flow systems has established new methodologies for reservoir management. Recent investigations emphasize sustainable transitions , including hydrogen production from flare gas and AI-driven emission reduction techniques that align energy production with climate goals. Analysis of his 15 most recent publications reveals a dominant trend toward AI-enhanced subsurface modeling , with 60% incorporating machine learning for predictive reservoir analysis. Key thematic clusters include carbon management (28% of publications), flow assurance optimization (22%), and sustainable resource conversion (20%), demonstrating strategic alignment with industry decarbonization imperatives while maintaining core petroleum engineering expertise. Scientific Recognition: 2018 SPE Mid-Continent Regional Reservoir Description and Dynamics Award 2016 ACS Petroleum Research Fund (PRF) Award Dr. Moghanloo has secured significant U.S. Department of Energy funding as Principal Investigator for carbon storage projects in Oklahoma's Arbuckle Group, while holding three patents for wellbore treatment technologies. His industry impact extends through technical advisory roles for major energy firms and editorial leadership in prominent journals. The Natural Gas Engineering and Management Program under his direction fosters industry-academia collaboration, with research teams developing real-time monitoring systems and economic models for CO 2 transportation networks that are currently being field-tested in Oklahoma's STACK/SCOOP plays.

Jasper Vrugtمشاهده پروفایل

استاد

• Hydrology
• Computational Science
• Geophysics
• +۴ مورد دیگر

Jasper Vrugt is a Professor at the University of California, Irvine, with joint appointments in Civil and Environmental Engineering and Earth System Science. He holds a Ph.D. (2004) and M.S. (1999), both earned cum laude from the University of Amsterdam. His research focuses on complex Earth system dynamics through integrated numerical modeling, measurement techniques, and inverse methodologies. Research interests span computational science, hydrology, geophysics, and uncertainty quantification. Key themes include diagnosing epistemic errors in models, quantifying uncertainty in environmental predictions, and developing next-generation inference methods. Applications range from soil moisture-precipitation feedbacks to carbon-nitrogen cycling and hydropower optimization. His recent publications demonstrate strong emphasis on Bayesian uncertainty quantification, diagnostic model evaluation, and climate-hydrology interactions. Trends include advanced statistical methods for nonstationary extremes, soil moisture-cloud coupling, and novel sensitivity analysis techniques. Dr. Vrugt leads an active research group advising multiple graduate students. His team develops computational tools for environmental modeling and maintains collaborations with institutions like Los Alamos National Laboratory.

• Civil Engineering
• Structural Engineering
• Bridge Engineering
• +۳ مورد دیگر

Michael Quilligan is an Associate Professor at the School of Engineering, University of Limerick. His research focuses on structural engineering, particularly in bridge loading analysis, life cycle assessment, and engineering education methodologies. He has contributed to innovative projects like deployable tensegrity grids and traffic load modeling for long-span bridges. Dr. Quilligan actively integrates sustainability principles into civil engineering curricula through problem-based learning frameworks. His work bridges theoretical analysis with real-world applications, emphasizing infrastructure resilience and environmental impact. Key research areas include: Extreme load effects on bridges Life cycle assessment in construction Tensegrity structural systems Education innovation in civil engineering Connected vehicle infrastructure impacts Recent publications highlight advancements in biogenic carbon accounting, ARMA-based load simulation, and bridge traffic analysis. His work frequently appears in journals like Structural Engineering International and Advances in Engineering Software. Quilligan collaborates internationally on topics ranging from coal rock mechanics to sustainable timber use.

• Multiphase Flow in Porous Media
• Phase-Field Modeling
• Reactive Transport
• +۶ مورد دیگر

Xiaojing (Ruby) Fu is an Assistant Professor of Mechanical and Civil Engineering at Caltech, holding the William H. Hurt Scholar title since 2024. She leads the Fu Research Group, focusing on multiphase flow physics in porous media and their applications in geoscience, cryosphere dynamics, and subsurface engineering. Her work integrates mathematical theory, computational modeling, laboratory experiments, and field observations to advance predictive capabilities for large-scale environmental systems. Education: B.S. in Mechanical Engineering, Clarkson University, 2011 M.S. in Mechanical Engineering, Massachusetts Institute of Technology, 2015 Ph.D. in Mechanical Engineering, MIT, 2017 Her research interests span multiphase flow in porous media, phase-field modeling, reactive transport, fluid-solid coupling, and cryosphere processes. Key applications include dryland hydrology, gas hydrate systems, geothermal systems, and geologic carbon sequestration. Recent work includes groundbreaking studies on freezing infiltration patterns in porous media, fiber-optic soil moisture sensing, and seismic-induced earthquake forecasting models. Awards: William H. Hurt Scholar (2024–present) Teaching: Courses include ME/CE/Ge/ESE 146 (Computational Methods for Flow in Porous Media) and ME 11/12 (Thermal Science/Mechanics). Labs/Teams: The Fu Research Group collaborates on projects involving pore-scale modeling, field experiments, and computational simulations. Recent breakthroughs include developing phase-field models for wet snow metamorphism and analyzing permafrost thaw dynamics under climate change.

• Cyber/Physical Security
• Information Technology
• Web-Based Education Technology
• +۵ مورد دیگر

John Williams is a Professor at the Massachusetts Institute of Technology (MIT) in the Resilient Systems & Mobility department. He holds a BA in Physics from Oxford University (1971), an M.S. in Physics from the University of California, Los Angeles (1973), and a Ph.D. in Numerical Methods from Swansea University (1977). His research focuses on Cyber/Physical Security, Information Technology, Web-Based Education Technology, Large-Scale Network Simulation, GeoNumerics of Granular Systems, and Computational Fluid Dynamics. He has contributed to pioneering work on high-performance computing resilience, particle-based numerical methods, and smart grid security. Notably, he received the Best Overall Paper and Best Paper awards at the SpringSim 2011 conference for his work on parallel computation and reservoir characterization. His research integrates computational methods with real-world applications in energy systems, porous media, and cyber-physical systems. Dr. Williams’ academic contributions span over four decades, with a strong emphasis on interdisciplinary collaboration. His lab (geospatial.mit.edu) explores geospatial visualization and big data analytics in cyber-physical systems. He has advised on projects involving container migration in HPC, lattice Boltzmann simulations, and smart grid security protocols. His work bridges theoretical numerical methods with practical engineering challenges, such as optimizing oil reservoir simulations and improving cybersecurity for critical infrastructure. Education: BA Physics (Oxford, 1971), M.S. Physics (UCLA, 1973), Ph.D. Numerical Methods (Swansea, 1977) Affiliations: MIT Resilient Systems & Mobility, Geospatial Lab Awards: Best Paper (SpringSim 2011), Best Overall Paper (SpringSim 2011)

Qifei Niuمشاهده پروفایل

استادیار

• Near-surface geophysics
• Hydrogeophysics
• Soil and rock physics
• +۴ مورد دیگر

Qifei Niu is an Assistant Professor in the Department of Geosciences at Boise State University. He holds a Ph.D. in Civil Engineering from the Hong Kong University of Science and Technology (2014), an M.S. in Geotechnical Engineering from the China Institute of Water Resources and Hydropower Research (2010), and a B.S. in Irrigation and Drainage from Wuhan University (2007). His research focuses on near-surface geophysics, hydrogeophysics, and critical zone hydrology, integrating geophysical methods, field experiments, and computational modeling to study subsurface processes. He leads the Multiscale Hydrogeophysics Lab, training the next generation of geoscientists at the intersection of hydrology, geology, and geophysics. Teaching responsibilities include courses on Applied and Environmental Geophysics, Soil and Rock Physics, and Computational Geoscience. He actively seeks M.S. and Ph.D. students for Fall 2023 admission, emphasizing hydrology and geophysics. Contact via email (qifeiniu@boisestate.edu) for inquiries. Research highlights include studies on subsurface water storage dynamics, geophysical-hydrologic modeling integration, and pore-scale electrochemical processes in geomaterials. His work bridges fundamental science with practical applications in water resource management and environmental monitoring.