جست‌وجوی استاد و پژوهشگر

Hejun Zhuمشاهده پروفایل

دانشیار

• Seismology
• Structural Geology
• Geophysics
• +۵ مورد دیگر

Dr. Hejun Zhu is an Associate Professor of Geosciences at The University of Texas at Dallas (UTD), affiliated with the School of Natural Sciences and Mathematics. He holds a PhD in Geoscience from Princeton University (2013), following a Master’s in Geophysics from Peking University and a Bachelor’s in Geology from Sun Yat-sen University. His research focuses on structural seismology, exploration seismology, and earthquake seismology, with specialties in seismic full-waveform inversion, mantle dynamics, and viscoacoustic modeling. Key professional milestones include the NSF CAREER Award (2021) and the J. Clarence Karcher Award (2019). His work has led to breakthroughs such as imaging 3D mantle flows in subduction zones and developing advanced seismic models for North America. Dr. Zhu’s research is funded by major grants, including a $536,729 NSF award for multi-parameter seismic modeling. His publications span high-impact topics like seismic monitoring of groundwater changes in Yellowstone, viscoacoustic reverse-time migration algorithms, and structural analysis of cratonic lithosphere. He advises doctoral students in geosciences, with notable advisees including Jaewook Lee, Jidong Yang, and Mengli Zhang. Dr. Zhu’s lab integrates computational seismology and field data to advance understanding of Earth’s subsurface processes.

Cesar Torresمشاهده پروفایل

استاد

• Microbial Electrochemistry
• Biofuels
• Biotechnology
• +۳ مورد دیگر

César I. Torres is a Professor at Arizona State University's School for Engineering of Matter, Transport and Energy , with affiliations including the Biodesign Swette Center for Environmental Biotechnology , Biodesign Center for Health Through Microbiomes , and Global Futures Scientists and Scholars . His work focuses on harnessing microorganisms for energy and chemical production through microbial electrochemistry, fermentations, and photosynthetic biofuel systems. Ph.D. in Environmental Engineering, Arizona State University (2009) M.S.E. in Environmental Engineering, Northwestern University (2005) B.S. in Chemical Engineering, University of Puerto Rico-Mayaguez (2002) Torres' research explores anode-respiring bacteria (ARB) for electricity generation, thermophilic/halophilic ARB characterization, and transport phenomena in biofilms using advanced electrochemical techniques. His lab develops mathematical models to predict ARB behavior and optimize reactor designs for wastewater treatment and biofuel production. Key innovations include hydrogen peroxide-producing microbial fuel cells for wastewater disinfection, thermophilic ARB for cellulosic H2 production , and alkaliphilic/halophilic ARB studies via electrochemical impedance spectroscopy and cyclic voltammetry. Current projects target microbial ecology management in mixed cultures to suppress methanogenesis and enhance electron capture. He teaches graduate courses on fuel cells and biofuel cells and undergraduate research in biodesign and chemical engineering , emphasizing transport phenomena, electrochemical modeling, and microbial system optimization.

• Geophysics
• CO2 Storage
• Fracture Mechanics
• +۳ مورد دیگر

Nathaniel Forbes Inskip is an Assistant Professor at the The Lyell Centre within the Global Research Institutes at Heriot-Watt University. His research focuses on geomechanical and fluid flow processes in subsurface energy systems, with particular emphasis on CO2 storage, geothermal energy, and fracture network dynamics. Key research areas include fracture roughness effects on fluid flow, chemical alteration impacts on fault stability, and induced seismicity management in energy transition contexts. He collaborates extensively on UN Sustainable Development Goal-related projects, particularly addressing climate action and affordable clean energy. Recent work emphasizes CO2 leakage risk assessment, geothermal reservoir characterization, and the integration of numerical models with experimental data. His contributions span 20+ peer-reviewed articles since 2015, including influential studies on fracture mechanics and subsurface storage security. Notable projects include datasets supporting computational methods for fracture permeability analysis and collaborative investigations into Cornwall's geothermal potential. No formal advisees are listed, though active participation in multi-institutional research networks is evident.

Chris Kinsleyمشاهده پروفایل

استادیار

• Environmental Engineering
• Wastewater Treatment
• Constructed Wetlands
• +۵ مورد دیگر

Chris Kinsley is an Assistant Professor in the Department of Civil Engineering at the University of Ottawa, specializing in environmental engineering with a focus on wastewater treatment technologies, constructed wetlands, and bioremediation strategies. His research emphasizes sustainable water management solutions, particularly in cold climates, addressing challenges such as nutrient removal, anaerobic digestion optimization, and innovative treatment systems for agricultural and industrial wastewater. Education: Ph.D., University of Ottawa (2016) M.Eng., McGill University (1998) B.Eng., McGill University (1995) Research Interests: Dr. Kinsley’s work focuses on advancing wastewater treatment technologies in cold environments, including microbial fuel cells, constructed wetlands for oil industry effluent, and anaerobic digestion of agricultural wastes. He investigates nutrient recovery, cold climate lagoon upgrades, and bioelectrochemical systems for sustainable energy production. His projects often integrate interdisciplinary approaches to address real-world challenges in water quality and environmental sustainability. Grants & Advising: While specific grants or student advisees are not detailed in the provided text, his extensive publication record indicates active engagement with research initiatives and collaborations in environmental engineering. Labs & Teams: His research aligns with the University of Ottawa’s environmental engineering group, focusing on cold climate solutions for water and wastewater treatment, with applications in dairy farming, industrial waste management, and sustainable infrastructure.

Tian-Chyi Jim Yehمشاهده پروفایل

استاد

• Subsurface Hydrology
• Contaminant Transport
• Hydrogeophysics
• +۲ مورد دیگر

Tian-Chyi Jim Yeh is Professor of Hydrology and Atmospheric Sciences at the University of Arizona. His research develops advanced methods for characterizing subsurface heterogeneity and modeling fluid/contaminant transport. Current work integrates geophysical techniques with machine learning for high-resolution aquifer characterization and predictive modeling. Research applications address groundwater management, contamination remediation, and climate impact assessment. Recent publications focus on deep learning approaches for karst systems, neural network-based inverse modeling, and geostatistical analysis of infiltration processes.

Yu-Feng Linمشاهده پروفایل

استاد مدعو

• Water Resources Engineering
• Hydrogeology
• Geothermal Energy
• +۳ مورد دیگر

Yu-Feng Lin is an Adjunct Professor at the University of Illinois at Urbana-Champaign, holding dual appointments in the Department of Civil and Environmental Engineering and the Department of Natural Resources and Environmental Sciences. He is the Director of the Illinois Water Resources Center and a Principal Research Hydrogeologist at the Illinois State Geological Survey. His expertise spans water resources engineering, hydrogeology, and geothermal energy systems. Lin earned his Ph.D. in Geological Engineering from the University of Wisconsin-Madison (2002), M.S. in Civil and Environmental Engineering from the University of Connecticut (1996), and B.S. in Water Resources and Environmental Engineering from Tamkang University (1993). His research focuses on groundwater-surface water interactions, geothermal energy applications, and environmental health connections. Notable projects include the development of geothermal energy systems for campus sustainability, fiber-optic sensing for hydrological monitoring, and modeling CO2 sequestration risks. He leads over 20 funded grants, including major initiatives with the U.S. Department of Energy and National Science Foundation. Lin is a Fellow of the Geological Society of America and has received awards like the Distinguished Alumni Award from Tamkang University. He serves on national boards such as the Great Lakes Commission and the National Institutes for Water Resources, reflecting his leadership in water policy and hydrological sciences. Key Roles: Director, Illinois Water Resources Center; Principal Research Hydrogeologist, Illinois State Geological Survey Professional Affiliations: Executive Editor of Groundwater , Delegate to Universities Council on Water Resources IP Contributions: Developed tools like uWATER-PA and SP2Learn for groundwater modeling and decision support His work integrates cutting-edge technologies with environmental stewardship, addressing critical challenges in water security, energy resilience, and climate adaptation.

Monroe Kennedy IIIمشاهده پروفایل

استادیار

• Collaborative Robotics
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Monroe Kennedy III is an Assistant Professor of Mechanical Engineering at Stanford University with a courtesy appointment in Computer Science. He directs the Assistive Robotics and Manipulation Lab (ARMLab), focusing on collaborative robotics, human-robot interaction, and assistive technologies. His research integrates machine learning, computer vision, and control theory to enhance robotic autonomy for service tasks requiring dexterity and situational awareness. His primary research areas include robotic perception for dynamic environments, adaptive control systems for human-robot collaboration, and wearable assistive devices. Recent work emphasizes tactile sensing, prosthetic interfaces, and safety in human-robot interaction, with applications in healthcare and rehabilitation. His publications demonstrate strong emphasis on multimodal sensing (visual-tactile fusion), human-centered robotics, and assistive technology validation. Article keywords frequently include rehabilitation engineering, haptic feedback, and robotic learning, showing consistent focus on bridging theoretical robotics with practical human needs. Scientific awards include the NSF CAREER Award for his work on collaborative robotics and multiple fellowships recognizing his contributions to assistive technology development. Mentoring includes doctoral and master's students in robotics and mechanical engineering, with research spanning mobile manipulation, tactile perception, and human-robot teaming. His lab collaborates with clinical partners for translational applications.

Mrinal Senمشاهده پروفایل

استاد

• Geophysics
• Seismic Imaging
• Machine Learning
• +۵ مورد دیگر

Mrinal Sen is a Professor at The University of Texas at Austin, holding the Shell Companies Foundation Centennial Chair in Geophysics. He is affiliated with the Jackson School of Geosciences, specifically the Department of Earth and Planetary Sciences and the Institute for Geophysics. Sen is a pioneer in machine learning applications for seismic imaging and has developed methods combining physics-based models with computational techniques. He was named the SEG’s 2024-2025 Distinguished Instructor Short Course (DISC) lecturer for his course on physics and data-driven seismic analysis. Education: PhD from University of Hawaii at Manoa, M.Sc. from IIT Dhanbad. His research focuses on seismic wave propagation, inversion, and uncertainty quantification, with emphasis on unconventional reservoirs and physics-assisted machine learning. He led the development of the Jackson School’s machine learning certificate program in geosciences. Research Interests: Exploration geophysics, seismology, full waveform inversion (FWI), Bayesian methods, and high-performance computing. His work bridges cutting-edge computational techniques with traditional geophysical principles. Key Achievements: Virgil Kauffman Gold Medal (SEG, 2018), SEG Honorary Membership, Distinguished Educator Award (UT Austin). Recent Work: Hybrid quantum neural networks for seismic inversion, starting-model-independent FWI algorithms, and trans-dimensional Bayesian inversion. Global Outreach: DISC course presentations across 8+ locations including Houston, Norway, France, India, and virtual platforms. Grants & Labs: Active in research funded by industry and academic partnerships, leading the Sen Research Group focused on seismic imaging and machine learning integration.

David Coleمشاهده پروفایل

استاد

• Geochemistry
• CO2 Sequestration
• Nanogeoscience
• +۳ مورد دیگر

David Cole is Professor and Ohio Research Scholar in Geochemistry at Ohio State University's College of Arts and Sciences. He directs the Subsurface Energy Materials Characterization and Analysis Laboratory (SEMCAL), employing advanced techniques like neutron scattering and NMR to study fluid-mineral interactions in energy-relevant systems. Research spans: Reaction mechanisms in minerals/fluids across scales CO2 sequestration in geological formations Shale gas system chemistry Nanoconfined fluid behavior Recent publications (2023-2025) predominantly focus on hydrogen storage optimization (40%), CO2-CH4 interactions (30%), and nanoconfinement effects (30%), with molecular simulations as the primary methodology. Article keywords show strong emphasis on adsorption phenomena, interfacial chemistry, and subsurface monitoring. Honors include fellowship status in three major scientific societies: Mineralogical Society of America, Geological Society of America, and American Association for the Advancement of Science. Secured funding from DOE Basic Energy Sciences and NSF for projects advancing sustainable energy solutions. Teaches graduate courses in nanogeoscience and subsurface characterization while serving in university governance through Arts and Sciences Senate roles.

Pamela Sullivanمشاهده پروفایل

استاد

• Ecohydrology
• Climate Change Impacts
• Soil Science
• +۳ مورد دیگر

Pamela Sullivan is a Professor and Hollis M. Dole Professor in Geosciences at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences. She leads the Sullivan Lab, focusing on ecohydrology and interactions between climate, vegetation, and geology. Her research examines terrestrial water storage, water quality, and Earth system projections under climate change. Education: Ph.D. in Geosciences (2011, Florida International University) and B.Sc. in Natural Resource Conservation (2005, University of British Columbia). Awards include the endowed Dole Chair. Her work explores hydraulic properties, plant-soil-water interactions, and critical zone dynamics across spatial and temporal scales. Key research themes include woody encroachment impacts, groundwater dynamics, and soil evolution. She has studied tree islands in the Everglades, tallgrass prairies, and montane ecosystems. Her recent studies address subsurface connectivity, dissolved carbon dynamics, and climate-driven changes in water systems. Publications (2023–2025) highlight advancements in critical zone science, ecohydrological modeling, and interdisciplinary data integration. She collaborates on continental-scale studies and global environmental frameworks to address ecological drought and water quality under climate extremes.

Peter Cookمشاهده پروفایل

استاد

• Hydrogeology
• Groundwater/Surface Water Interaction
• Ecohydrology
• +۵ مورد دیگر

Professor Peter Cook is a leading groundwater scientist and Professor of Hydrogeology at Flinders University, directing the National Centre for Groundwater Research and Training (NCGRT). He holds a PhD from Flinders University (1989-1992) and a BA from the Australian National University (1983-1986). His research focuses on groundwater hydrology, ecohydrology, isotope hydrology, and surface water-groundwater interaction, with notable contributions to semi-arid groundwater dynamics and environmental tracer applications. Awards include the Henry Darcy Distinguished Lecturer (2009), the CSIRO Chairmans Medal (2008), and the Australian National University Medalist (1986). Key research areas include groundwater recharge mechanisms, fractured rock hydrogeology, and coastal hydrogeology. He advises government and industry on water resource management, emphasizing sustainable practices in mining and arid regions. His work contributes to UN Sustainable Development Goals related to clean water and climate action. Over 190 publications span peer-reviewed articles, reviews, and book contributions. Notable recent works address managed aquifer recharge in mining contexts, hydraulic evolution of pit lakes, and tracer-based groundwater age dating. Collaborations span global institutions, reflecting his leadership in international groundwater research.

Arnold D. Kimمشاهده پروفایل

استاد

• Wave Propagation
• Scattering Theory
• Imaging
• +۷ مورد دیگر

Arnold D. Kim is a Professor of Applied Mathematics at the University of California, Merced, where he is a founding member of the Department of Applied Mathematics. His research focuses on interdisciplinary applications of wave propagation and scattering, with emphasis on imaging, spectroscopy, remote sensing, photonics, and plasmonics. He develops mathematical models using differential/integral equations, asymptotic analysis, and scientific computing. Current research projects include synthetic aperture radar imaging, boundary integral equation methods, plasmonic meta-structures, acoustic binding forces, and data science applications in social justice and gamification. His work spans computational physics and biomedical optics, addressing challenges such as subsurface target detection, inverse scattering problems, and polarization-based imaging techniques. Collaborations include projects with Chrysoula Tsogka on SAR imaging, Camille Carvalho on boundary integrals, Sayantani Ghosh on plasmonics, and Maia Powell on social media analysis. His office is located in the Arts & Computational Sciences Building, Room 347. Kim's research trends reflect a blend of theoretical advancements (e.g., asymptotic methods for layer potentials) and applied innovations (e.g., imaging algorithms for lossy media). Notable contributions include modeling broadband cloaking with plasmonic structures and analyzing mouse-tracking data for gamification insights. His recent publications emphasize high-resolution imaging techniques and spectral classification methods for radar applications.

• Thermography
• Non-Destructive Testing
• Composite Materials
• +۴ مورد دیگر

Gernot Mayr is a Researcher at the University of Applied Sciences Wels, affiliated with the Thermography and Non Destructive Testing Center of Excellence, Automotive/Mobility Center of Excellence, and Energy Focal area Materials. He specializes in non-destructive testing methods with a focus on thermography applications for composite materials and structural analysis, serving as Principal Investigator on multiple research projects including the FLARE initiative (2025-2027) for AI-enhanced non-destructive evaluation. Dr. Mayr's research expertise centers on Thermography and Non-Destructive Testing techniques, particularly Photothermal Imaging and Pulsed Thermography for defect detection in composite materials. His work demonstrates significant contributions to the Virtual Wave Concept , which has advanced the precision of subsurface interface characterization in layered materials. His research spans applications in automotive, energy, and mobility sectors where material integrity assessment is critical. Analysis of Dr. Mayr's recent publications (2023-2025) reveals a strong focus on advanced thermographic methods for non-destructive evaluation. His work demonstrates expertise in applying the virtual wave concept to improve defect reconstruction and thermal parameter estimation in complex composite structures. Key research themes include photothermal imaging of foreign object defects in curved components, one-dimensional photothermal characterization techniques, and innovative approaches to thermal parameter determination using data assimilation methods. Dr. Mayr has successfully led multiple research projects including the FLARE project (2025-2027) on AI for non-destructive evaluation, the JR-Centre for Thermal NDE of Composites (2018-2022), and the BF-Energie aus Abwärme project (2016-2018) on thermoelectric energy harvesting. His collaborative work spans across academic and industry partners in the materials science and engineering fields, with documented presentations at international conferences from 2021-2024 on topics including polymerization monitoring and thermal diffusivity estimation.

David Bensonمشاهده پروفایل

استاد

• Hydrology
• Fractional Calculus
• Numerical Methods
• +۵ مورد دیگر

David Benson is a Professor in the Department of Geology and Geological Engineering at the Colorado School of Mines. His research focuses on hydrology, fractional calculus, numerical methods, and mixing-limited chemical reactions in porous media. He holds a Ph.D. in Hydrogeology from the University of Nevada, Reno (1998), an M.Sc. in Geologic Sciences from San Diego State University (1992), and a B.S. in Geology from New Mexico State University (1985). His research interests include Lagrangian simulation techniques, self-similar random fields, and the application of fractional calculus to hydrologic modeling. Benson is particularly known for advancing particle-tracking methods to model reactive transport and mixing processes in subsurface environments. His work bridges theoretical developments with practical applications in environmental engineering and groundwater systems. He teaches courses such as GEGN 581 (Analytical Hydrology), GEGN 470 (Groundwater Engineering Design), and GEGN 583 (Mathematical Modeling of Groundwater Systems). His recent publications emphasize parallelization of numerical algorithms, optimization of particle-tracking simulations, and addressing computational challenges in reactive transport modeling. Benson’s contributions to the field include foundational studies on the accuracy of mass-transfer algorithms, the role of mixing in chemical reactions, and the development of computational frameworks for heterogeneous aquifers. His work has been published in journals like Advances in Water Resources and Water Resources Research , reflecting his focus on both methodological innovation and real-world environmental challenges.

Mary Carrمشاهده پروفایل

استاد پژوهشی

• Sedimentology
• Reservoir Modeling
• Eolian Systems
• +۴ مورد دیگر

Mary Carr is a Research Professor at the Department of Geology and Geological Engineering at Colorado School of Mines, and serves as Executive Director of the Petroleum Technology Transfer Council (PTTC). She holds a Ph.D. in Geology from the University of Texas at Austin (1994), an M.S. from the University of Texas at Arlington (1987), and a B.S. in Geology (1982). Her career spans over three decades of research in sedimentology, reservoir modeling, and petroleum geology, with a focus on eolian systems, deep-water sedimentary systems, and fluvial tight gas reservoirs. Research Interests : Dr. Carr’s work integrates field studies, 3D geospatial modeling, and outcrop analogs to understand reservoir heterogeneity and depositional processes. Key areas include wet eolian systems (e.g., Entrada Sandstone), deep-water basin-floor fans (e.g., Brushy Canyon Formation), and hydraulic fracture behavior in tight gas reservoirs. She has pioneered techniques to link geological architecture with reservoir engineering challenges, particularly in unconventional plays. Professional Contributions : As Director of the Rocky Mountain PTTC, she facilitates technology transfer to the oil and gas industry through workshops, publications, and digital tools. Her research has been funded by industry consortia like the Slope and Basin Consortium and Chevron Center of Research Excellence. Over 50 peer-reviewed publications and technical reports highlight her expertise in sedimentology, stratigraphy, and reservoir characterization. Labs & Teams : Collaborates with the Chevron Center of Research Excellence and Slope and Basin Consortium to advance deep-water reservoir modeling and outcrop analog studies. Her work often involves advanced software like GOCAD and Petra for 3D geological modeling.