جست‌وجوی استاد و پژوهشگر

Kegang Lingمشاهده پروفایل

دانشیار

• Reservoir Engineering
• Rock Geomechanics
• Natural Gas Engineering
• +۵ مورد دیگر

Kegang Ling is an Associate Professor in the Department of Energy and Petroleum Engineering at the University of North Dakota (UND) College of Engineering & Mines. He is also the Undergraduate Program Director for Petroleum Engineering, teaching courses like Reservoir Rock Properties and Natural Gas Engineering. With over 25 years of industry experience, his work bridges academia and practical applications in unconventional reservoirs. Ph.D., Petroleum Engineering, Texas A&M University (2010) M.S., Petroleum Engineering, University of Louisiana at Lafayette (2006) B.S., Geology, China University of Petroleum at Beijing (1995) His research focuses on CO2/H2 storage, natural gas engineering, and production optimization. Recent work applies discrete element modeling to rock properties and machine learning to EOR screening. He leads projects on fly ash utilization for drilling fluids and leakage detection in pipelines, emphasizing sustainability and efficiency. The last five years of publications show expertise in unconventional reservoir geomechanics, CO2 storage, and solvent-based EOR. Collaborations with SPE conferences and NSF-funded projects highlight interdisciplinary and applied trends. Keywords span Petroleum Engineering , Rock Mechanics , and Machine Learning , with subfields like huff-n-puff EOR and wellbore flow assurance . Scientific Awards & Funding: SPE Faculty Enhancement Travel Grant (2013, 2014) NSF Grant ($585,405): Nano-scale hydrocarbon thermodynamics NDIC Grants ($6.7M total): CO2 EOR, geomechanics, drilling fluids Research North Dakota Grant ($178,000): Cell mechanics for cancer diagnosis He has advised 5 graduate students (Ph.D./M.S.) and contributed to 130+ publications. Current funding includes projects on produced water treatment and molecular thermodynamics in nano-scale pores.

Scott Diddamsمشاهده پروفایل

استاد

• Precision Spectroscopy
• Quantum Metrology
• Nonlinear Optics
• +۵ مورد دیگر

Scott Diddams is the Robert H. Davis Endowed Chair and Professor of Electrical Engineering and Physics at the University of Colorado Boulder. He leads the Quantum Engineering Initiative in the College of Engineering and Applied Science. His research focuses on precision spectroscopy, quantum metrology, nonlinear optics, and ultrafast lasers, with pioneering contributions to optical frequency combs for applications in optical clocks, fundamental physics tests, and astronomy. He holds over 750 publications and has received prestigious awards including the Department of Commerce Gold Medal and PECASE. **Education**: PhD in Physics from the University of New Mexico (1996). Postdoctoral work at JILA, NIST, and CU Boulder. Former NIST Fellow and Group Leader. **Research Interests**: Frequency comb technology for astrophotonics and metrology Exoplanet detection via advanced spectroscopy Ultrafast laser systems and high-harmonic generation Quantum engineering and integrated photonics **Awards**: Distinguished Presidential Rank Award IEEE Rabi Award C.E.K. Mees Medal (OPTICA) **Grants & Labs**: Directs the Quantum Engineering Initiative and maintains active collaborations with NIST. His lab develops cutting-edge instrumentation for space science and precision measurement. **Current Projects**: Focuses on miniaturized Fabry-Pérot cavities, quantum-enhanced dual-comb spectroscopy, and exoplanet characterization via the GEMS survey.

Nur Schubaمشاهده پروفایل

استادیار

• Geophysics
• Structural Geology
• Fault Characterization
• +۷ مورد دیگر

Nur Schuba is a Research Assistant Professor at the Bureau of Economic Geology, The University of Texas at Austin, with a focus on seismic interpretation, structural geology, fault characterization, salt tectonics, and science communication . She contributes to energy and environmental research through advanced geophysical analysis and reservoir characterization. Education : M.F.A. in Visual Communication (Savannah College of Art and Design, 2023), Ph.D. in Geoscience (Rice University, 2019), and B.Sc. in Geophysical Engineering (Istanbul Technical University, 2011). Research interests span salt tectonics, subsurface storage, fault mechanics, and the application of machine learning in seismic velocity estimation. Her work addresses geological challenges in energy recovery, carbon sequestration, and hydrogen storage, with a strong emphasis on science communication for public engagement. Selected publications include studies on salt dome morphology for underground storage, serpentinization patterns in the Galicia margin, and innovative carbon storage incentive models. Her recent work explores the intersection of geophysics and energy transition technologies. Professional history includes roles at ExxonMobil, Schlumberger, and Yellowstone National Park, alongside postdoctoral and research assistant positions at Rice University and UT Austin.

Shaowei Wangمشاهده پروفایل

استاد

• Heat and mass transfer in porous media
• Fluid mechanics
• Mathematical methods in mechanics

Shaowei Wang is a Professor in the Department of Engineering Mechanics at the School of Civil Engineering, Shandong University, China. He holds a Ph.D. in Mathematics (2007) from Shandong University and completed post-doctoral research in fluid mechanics (2009) at Peking University. His research focuses on heat and mass transfer in porous media , fluid mechanics , and mathematical methods in mechanics . His recent publications highlight advancements in electro-osmotic flows, oscillatory non-Newtonian fluid dynamics, and stability analysis of bioconvection in porous media. Key themes include modeling viscoelastic fluids (Oldroyd-B, Maxwell), fractional calculus applications, and microchannel transport phenomena. First Prize in Natural Science of the Ministry of Education (2015) Second Prize of Natural Science Award of Shandong Province (2015) Du Qinghua Young Scholar Award (2016) Wang serves as Director of Shandong Society of Mechanics and editorial board member of multiple journals. His work bridges theoretical fluid dynamics with practical applications in microfluidics and geophysical systems.

• Biofluid Mechanics
• Biomedical Engineering
• Unsteady Oscillating Flows
• +۱۰ مورد دیگر

Christos Manopoulos is an Associate Professor at the National Technical University of Athens (NTUA), School of Mechanical Engineering, Section of Fluids. His research focuses on biofluid mechanics and biomedical engineering, particularly in valveless pumping, peristaltic pumps, and computational modeling of cardiovascular systems. PhD in Biomedical Engineering (2009), NTUA and University of Patras M.Sc.E. in Biomedical Engineering (1999), NTUA and University of Patras Diploma in Mechanical Engineering (1995), University of Patras His work bridges theoretical, computational, and experimental methods to analyze unsteady oscillating flows, develop biomedical devices, and model arterial wall mechanics. Recent research trends emphasize patient-specific simulations for aortic aneurysms, optimization of medical pumps, and understanding pulse wave velocity in pathological conditions. His publications highlight advancements in computational fluid dynamics and biomedical device design. Scientific Committee, 10th & 11th IC-SCCE (2022, 2024) Patent #1009983 (2021) for mechanical ventilator bifurcator Multiple awards from Thomaideio foundation (2005-2010) Scholarships from Loulis (1999-2009) and Tzetzou (1999-2001) foundations Manopoulos leads the Biofluid Mechanics & Biomedical Technology Laboratory (2022-present) and contributes to health and safety protocols at NTUA. He teaches undergraduate and postgraduate courses in biofluid mechanics, computational modeling, and biomedical engineering.

• Galaxy Formation
• Intergalactic Medium (IGM)
• Cosmology
• +۳ مورد دیگر

Joop Schaye is a Full Professor at Leiden University, affiliated with the Leiden Observatory within the Faculty of Science. His research focuses on galaxy formation, the intergalactic medium (IGM), and cosmological hydrodynamical simulations. He leads the FLAMINGO and COLIBRE projects, building on prior work with OWLS and EAGLE simulations. Role: Professor of Galaxy Formation and IGM Research Affiliation: Leiden Observatory, Faculty of Science Research & Group His group includes current PhD candidates (e.g., Jeger Broxterman, William McDonald) and postdocs (e.g., Victor Forouhar Moreno). Former students include Roi Kugel and Jorryt Matthee. Active collaborations involve MUSE surveys and Athena X-ray instrumentation. Awards Appointed member of the Royal Netherlands Academy of Arts and Sciences (KNAW) in 2025, recognizing his contributions to astrophysics. Teaching Teaches the Spring 2025 MSc course Large-scale structure and galaxy formation .

• Seismology
• Earthquake Physics
• Induced Seismicity
• +۴ مورد دیگر

Alexandros Savvaidis is a Research Professor at the Bureau of Economic Geology, part of the Jackson School of Geosciences at The University of Texas at Austin. He serves as the Manager of the Texas Seismological Network (TexNet) and has over 30 years of experience in seismology and applied geophysics. His expertise spans earthquake physics, induced seismicity, engineering seismology, and geophysical data modeling. Savvaidis leads real-time seismic monitoring efforts across Texas, managing a network of 210 stations, and previously managed Greece's largest seismographic network. His research focuses on causal factors of induced seismicity linked to oil/gas operations, geothermal projects, and wastewater disposal, alongside developing machine learning tools for seismic data analysis. His technical work includes advanced inversion algorithms for crustal modeling using Texas Advanced Computing Center (TACC) resources, and he has pioneered methods like EQCCT for earthquake detection and phase picking. Savvaidis is also involved in disaster risk reduction initiatives and contributes to the Center for Collective Impact in Earthquake Science (C-CIES), emphasizing interdisciplinary approaches to earthquake science. Recent research trends highlight his focus on integrating AI into seismology, including earthquake forecasting datasets (AEFA), deep learning for seismic event classification, and real-time monitoring systems. His work bridges academic research with industrial applications, collaborating on projects funded by European and U.S. agencies. He advocates for improved seismic monitoring infrastructure in regions like New Jersey and Texas, emphasizing the need for precise data-driven strategies to address anthropogenic seismic hazards.

Teh-Ru Alex Songمشاهده پروفایل

استاد

• Seismology
• Volcano Seismology
• Earthquake Mechanics
• +۴ مورد دیگر

Dr. Teh-Ru Alex Song is a Reader in Seismology at the Department of Earth Sciences, University College London. He leads the Seismolab research group and teaches the course GEOL0029: Seismology I. His work focuses on observational seismology, including seismic anisotropy, volcano dynamics, and tectonic processes. Key research interests include magma chamber interactions, core-mantle boundary structure, and earthquake behavior near plate boundaries. His recent studies involve Aso Volcano seismic monitoring and post-seismic velocity changes in Sumatra subduction zones. Research highlights include investigating magma dynamics through repetitive volcanic seismic signals and analyzing temporal variations in seismic anisotropy. His work bridges seismological observations with tectonic and volcanic processes across spatial and temporal scales. Collaborative efforts include global seismic array data analysis and volcano remote sensing techniques. Dr. Song’s publications span over two decades, addressing topics like mantle discontinuities, induced earthquakes, and seismic waveform modeling. His contributions have advanced understanding of seismic wave propagation, subduction zone dynamics, and the interplay between magmatic and tectonic systems.

Natalia Zakharovaمشاهده پروفایل

دانشیار

• Applied Geophysics
• Petrophysics
• Geomechanics
• +۱۲ مورد دیگر

Natalia Zakharova is an Associate Professor in the Department of Earth and Atmospheric Sciences at Central Michigan University, within the College of Science and Engineering. She leads the Geophysics and Geomechanics Laboratory (G²), actively involving undergraduate and graduate students in her research. Her work bridges petrophysics and geomechanics with applications in energy resources, carbon sequestration, and environmental protection. Education: Ph.D., Earth & Environmental Sciences, Columbia University, New York M.S., with Honors, Applied Geophysics, Lomonosov Moscow State University, Russia B.S., with Honors, Geology and Geophysics, Lomonosov Moscow State University, Russia Her research focuses on stress heterogeneity in the shallow crust, borehole stress evaluation, induced seismicity, and carbon capture and storage (CCUS), particularly in basalts and unconventional reservoirs. She investigates petrophysical properties of gas shales, microbial gas generation, and physical properties of rift basins and oceanic crust. Her teaching includes courses such as Introduction to Earth Systems, Dangerous Planet, Geomath, and Applied Geostatistics. The recent publications reflect a strong trend in experimental and field-based studies of shale reservoirs, CO 2 sequestration, and geomechanical characterization. Key themes include pore structure analysis, fracture mechanics, adsorption behavior, and reservoir evaluation in the Antrim Shale and Newark Rift Basin. These works emphasize sustainable energy solutions and environmental safety. Scientific Awards: No scientific awards mentioned in the provided text. Dr. Zakharova actively mentors students, with several co-authored publications involving student researchers marked in her publication list. She has not mentioned specific grants, but her research on CO 2 injection, carbon storage, and shale characterization suggests involvement in externally funded projects related to climate change mitigation and energy sustainability. She teaches a professional development course, indicating commitment to student growth and career preparation. She founded and leads the Geophysics and Geomechanics Laboratory (G²), which supports experimental and analytical research in rock properties, pore systems, and geomechanical behavior. The lab fosters interdisciplinary work connecting geophysics, geochemistry, and environmental science.

Daniel Apaiمشاهده پروفایل

استاد

• Exoplanet science
• Brown dwarf atmospheres
• Space telescopes
• +۳ مورد دیگر

Daniel Apai is Professor of Optical Sciences and Professor of Astronomy & Planetary Sciences at the University of Arizona, where he also serves as Associate Dean for Research in the College of Science. His core appointments span the Department of Optical Sciences and the Department of Astronomy & Planetary Sciences, reflecting a dual expertise in instrumentation and astrophysical research. He earned a MSc from the University of Szeged, Hungary (2000) and a PhD from the University of Heidelberg, Germany (2004). Research Interests Space telescopes and next-generation instrumentation Infrared spectroscopy of exoplanets and brown dwarfs Habitability assessment of terrestrial and sub-stellar worlds Atmospheric dynamics and weather patterns in ultracool atmospheres Advanced optical systems including multi-order diffractive Fresnel lenses Across his 2022–2025 publication record, Apai’s work reveals a consistent focus on leveraging JWST, HST, and forthcoming missions such as NASA’s Pandora SmallSat to characterize exoplanet atmospheres, map brown-dwarf weather, and refine habitability metrics. Studies span from detecting the faintest brown dwarfs in globular clusters to building quantitative frameworks for biosignature assessment, illustrating a trajectory that couples cutting-edge observations with theoretical modeling. Awards & Honors No specific awards are listed in the provided text; the narrative is limited to appointments and scholarly output. Students & Grants The supplied text does not enumerate graduate students or funding details. Laboratories & Teams While no formal lab names are given, Apai’s leadership in space-telescope instrumentation and participation in large JWST and HST programs suggest active involvement in multi-institutional collaborations centered on exoplanet characterization and infrared instrumentation development.

Mehran Masdariمشاهده پروفایل

مدرس

• Experimental Aerodynamics
• Aeroacoustics
• Heat Transfer Optimization
• +۹ مورد دیگر

Dr. Mehran Masdari is a Lecturer in the Department of Aerospace Engineering at City St George's, University of London, where he has been serving since 2024 after joining as a Research Fellow and Visiting Lecturer in 2022. He previously held the position of Assistant Professor at the University of Tehran from 2012 to 2022, where he founded and led the Experimental Aerodynamic Research Laboratory (EARL). Education: PhD in Aerodynamics, Sharif University of Technology, Iran (2011) Fellow of the Higher Education Academy (FHEA), City, University of London, United Kingdom (2024) Dr. Masdari's research focuses on experimental aerodynamics, measurement techniques, data analysis, and image processing. He specializes in heat transfer optimization using pulsating flows, aeroacoustic analysis of drone propellers, and energy harvesting from flow-induced motions. His work bridges fundamental fluid dynamics with practical engineering applications in aerospace and sustainable technologies. He teaches core courses such as 'Measurements and Data Analysis', 'Advanced Aerodynamics', and 'Aeroelasticity', contributing significantly to aerospace education. The recent publications reflect a strong trend in experimental methods, particularly in image-based diagnostics, unsteady flow control, and energy conversion from fluid-structure interactions. His work spans thermal engineering, aeroacoustics, and smart materials, demonstrating interdisciplinary innovation in aerospace systems. Scientific Awards and Recognitions: Fellow of the Higher Education Academy (FHEA) Fellow of the Royal Aeronautical Society Dr. Masdari has advised numerous graduate students at the University of Tehran and continues to mentor early-career researchers at City St George's. His research has been supported by institutional and national grants related to advanced measurement systems, drone technology, and sustainable energy solutions. He has led projects integrating optical diagnostics with thermal and structural testing, contributing to both academic knowledge and industrial applications. He established and directed the Experimental Aerodynamic Research Laboratory (EARL) at the University of Tehran, a facility dedicated to cutting-edge experiments in flow measurement, heat transfer, and aeroelasticity. His lab work emphasizes innovation in instrumentation and data interpretation, fostering a hands-on research environment for students and collaborators.

Mahdi Abkarمشاهده پروفایل

دانشیار

• Fluid Mechanics
• Turbulence
• Data-driven Modeling
• +۵ مورد دیگر

Mahdi Abkar is an Associate Professor at the Department of Mechanical and Production Engineering, Aarhus University, leading the Fluids and Energy section. His research focuses on fluid mechanics, turbulence modeling, and wind energy optimization using computational fluid dynamics (CFD) and machine learning techniques. Research Areas: Fluid Mechanics, Turbulence, Wind Energy, Data-Driven Modeling Affiliation: Aarhus University, College of Engineering His recent work emphasizes turbulence modeling, LES/RANS simulation improvements, and wind farm power prediction. Articles highlight data-augmented models, flow separation analysis, and drag reduction strategies. He contributes to CFD applications in renewable energy systems, including ultrasonic flow meter design and atmospheric boundary layer interactions.

• Geologic Carbon Storage
• Geomechanics
• Enhanced Oil Recovery
• +۳ مورد دیگر

Brian J. McPherson is a Professor in the Department of Civil & Environmental Engineering at the University of Utah. He specializes in geologic carbon storage, geomechanics, and subsurface fluid dynamics, with extensive research on CO₂ sequestration, enhanced oil recovery (EOR), and reservoir characterization. His work integrates experimental, numerical, and field studies to assess risks and optimize subsurface storage. McPherson's research focuses on: Geomechanical risk assessment for CO₂ storage Multiphase flow dynamics in porous media Machine learning applications in reservoir forecasting Impacts of CO₂ leakage on groundwater systems His publications emphasize carbon capture and storage (CCS) technologies, hydraulic fracturing, and subsurface monitoring methods. Recent articles frequently address uncertainty quantification and predictive modeling using Bayesian frameworks and AI. He leads major DOE-funded initiatives, including the San Juan Basin CarbonSAFE project and the Uinta Basin CarbonSAFE II feasibility study. These projects focus on ensuring safe long-term CO₂ storage in saline reservoirs. McPherson advises graduate students through thesis research courses and directs the SMART Machine Learning Initiative as an External Advisory Board member.

Mateo Acostaمشاهده پروفایل

استادیار

• Geomechanics
• Earthquake Science
• Crustal Deformation
• +۳ مورد دیگر

Mateo Acosta is an Assistant Professor of Geomechanics at Virginia Tech, specializing in earthquake mechanics, crustal deformation, and geomorphic processes. He serves as Center Director of the Center for Geomechanics and Mitigation of Geohazards (GMG) and Associate Director of the Center for Autonomous Systems and Technologies, bridging geoscience with engineering applications. His research integrates field observations, seismological and geodetic measurements, remote sensing, and laboratory experiments to develop kinematic and dynamic models. Key projects include seismicity forecasting in subsurface engineering operations, hydrology-crustal deformation interactions, Martian dune dynamics, Himalayan and Tibetan tectonic studies, and postseismic deformation analysis. Recent publications focus on induced seismicity mitigation, geothermal reservoir optimization, fault hydraulic properties, and earthquake nucleation mechanisms. These works span 2017-2025 with recurring themes in geothermal energy applications, CO2 storage safety, and computational geomechanical modeling. Scientific awards : Resnick Graduate Scholar Acosta contributes to earthquake physics outreach through media appearances, including a PBS Interview on geothermal systems. His work connects geological processes with practical engineering solutions for geohazard mitigation.

Dino Huangمشاهده پروفایل

عضو هیئت علمی

• Earthquake Seismology
• Seismic Imaging
• Earthquake Detection
• +۵ مورد دیگر

Dino Huang is a Research Assistant Professor at the Bureau of Economic Geology, part of the Jackson School of Geosciences at the University of Texas at Austin. He serves as a Seismologist for the Texas Seismological Network and has been with the Bureau since June 2017. His expertise lies in earthquake seismology, seismic imaging, and seismotectonic studies, with a focus on both natural and induced seismicity across diverse geological settings from the Himalayas to Texas. His educational background includes: PhD in Geophysics, State University of New York at Binghamton, 2007; Thesis title: 3-D lithospheric structure and seismotectonics of the central Himalayan region Dr. Huang specializes in advanced seismic techniques for understanding Earth's structure and earthquake processes. His research focuses on 3D tomographic inversion, earthquake detection and location, and earthquake source characterization through moment tensor inversion. He conducts seismotectonic studies on both natural and induced seismicity, with particular interest in the processes and dynamics of inter- and intra-continental convergence. His work also involves seismic waveform modeling and the deployment of seismic instrumentation, including 3-component broadband sensors in field settings. Dr. Huang's publication record demonstrates a consistent focus on seismic imaging and earthquake source characterization across diverse geological settings. His work spans from the Himalayan region and Tibetan plateau to more recent studies on seismicity in Texas and western Alberta. A notable trend is the application of advanced seismic tomography techniques to understand lithospheric structure and earthquake mechanisms in continental collision zones. His more recent work shows increasing emphasis on induced seismicity related to energy development activities, particularly in the context of wastewater injection and hydraulic fracturing operations. Dr. Huang has mentored graduate students during his postdoctoral research at Rutgers University. He has secured funding for seismicity studies, including a comprehensive study of regional seismicity for western Alberta funded by Natural Resource Canada. His research has also been supported by NSF through the project "Strength of continental lithosphere in western China from seismic body wave studies," where he served as Postdoctoral co-PI. As part of the Texas Seismological Network at the Bureau of Economic Geology, Dr. Huang contributes to the Center for Injection and Seismicity Research (CISR), which focuses on understanding induced seismicity related to energy development activities. His work integrates field deployment, data analysis, and theoretical modeling to address fundamental questions in seismology while providing practical insights for seismic hazard assessment.