جست‌وجوی استاد و پژوهشگر

Mostafa Nouhمشاهده پروفایل

دانشیار

• Structural Dynamics
• Acoustics
• Vibration Damping and Control
• +۳ مورد دیگر

Mostafa Nouh is an Associate Professor and Adjunct Associate Professor at the University at Buffalo, affiliated with the School of Engineering and Applied Sciences. His research spans structural dynamics, acoustics, and smart materials. University at Buffalo, School of Engineering and Applied Sciences Primary Department: Mechanical and Aerospace Engineering Adjunct Role: Civil, Structural and Environmental Engineering His research focuses on metamaterials for wave control, energy harvesting, and vibration damping. Key areas include nonreciprocal wave propagation, phononic crystals, and mechanical computing. Recent publications highlight advancements in neuromorphic metasurfaces, acoustic diodes for fluid energy extraction, and non-Hermitian phononic systems. Themes include structural dynamics, active/passive control, and metamaterial design. Scientific Awards : CAREER Grant: NSF award for nonreciprocal metamaterials research His work involves advising on grants, leading the Sound & Vibrations Lab, and developing tunable damping systems. He explores future directions in time-modulated materials and UAV noise mitigation.

Sorin Popمشاهده پروفایل

استاد

• Applied Mathematics
• Numerical Analysis
• Porous Media Flow
• +۳ مورد دیگر

Prof. Sorin Pop is a Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His research focuses on numerical analysis and computational methods for multiphase flow in porous media, with emphasis on two-phase flow dynamics, dynamic capillarity, and hysteresis effects. He has published extensively in journals like Computer Methods in Applied Mechanics and Engineering and Studies in Applied Mathematics . His work involves developing and analyzing numerical schemes for complex flow models, including domain decomposition methods and iterative solvers for nonlinear systems. Pop collaborates internationally on projects involving porous media applications in environmental and industrial contexts. He has supervised 21 academic works and contributed to over 117 research outputs since 2000.

• Groundwater Flow
• Permafrost Hydrogeology
• Water Balance Modeling
• +۵ مورد دیگر

Dr. Victor Bense is an Associate Professor in Hydrology and Environmental Hydraulics at Wageningen University & Research. His expertise spans groundwater flow dynamics, permafrost hydrogeology, and numerical modeling of subsurface systems. He leads interdisciplinary projects addressing climate change impacts, groundwater management, and coral reef health in the Caribbean. Research interests include groundwater extraction effects, thermal regimes, and sustainable resource management. He has supervised multiple PhD candidates, including studies on managed aquifer recharge in Bangladesh, hydrogeological characterization of Gorongosa National Park, and permafrost dynamics in Arctic regions. His work integrates field data, numerical modeling, and environmental tracers to address complex hydrogeological challenges. Key contributions include modeling groundwater systems in Iran's mining regions, analyzing Caribbean coral reef water composition, and developing tools for basin-scale groundwater availability projections. Bense actively engages in knowledge exchange, contributing to media discussions on water scarcity and sustainable policy development.

Ran Droriمشاهده پروفایل

دانشیار

• Biochemistry
• Biophysics
• Materials Science
• +۵ مورد دیگر

Ran Drori is an Associate Professor and Department Chair in the Chemistry and Biochemistry Department at Yeshiva University . He holds a B.Sc. in Biotechnology from Tel-Hai College (2007), an M.Sc. in Plant Pathology from The Hebrew University of Jerusalem (2009), and a Ph.D. in Biochemistry from The Hebrew University of Jerusalem (2015). His postdoctoral research at NYU’s Chemistry Department focused on synthetic ice growth inhibitors and ice growth dynamics under H 2 O/D 2 O exchange. Dr. Drori’s research interests center on ice-binding proteins , clathrate hydrates , and microfluidic technologies . He investigates how these proteins inhibit ice growth in biological and non-biological systems, with applications in cryopreservation, food science, and energy storage. His lab employs microfluidics and advanced imaging techniques like micro-thermography to study ice crystal dynamics. Key recent publications highlight his work on antifreeze protein mechanisms, methane clathrate inhibition, and ice growth modulation. His research bridges biochemistry, physics, and engineering, aiming to uncover fundamental principles of ice-protein interactions and develop novel materials for real-world applications. Dr. Drori teaches undergraduate courses in biochemistry and organic chemistry at Yeshiva University. His lab, the Drori Lab, is located at Stanton Hall on the Beren campus.

Hugo Putuhenaمشاهده پروفایل

پژوهشگر ارشد

• Offshore Renewable Energy
• Geospatial Assessment
• Seabed/Ocean Digitalisation
• +۳ مورد دیگر

Dr. Hugo Putuhena is a Research Fellow in Offshore Renewable Energy (ORE) specializing in spatial mapping at the University of Southampton. He is affiliated with the Royal Academy of Engineering (RAEng) Chair Centre of Excellence for Intelligent & Resilient Ocean Engineering (IROE). His work focuses on identifying suitable spaces for offshore renewable energy by integrating anthropogenic, ecological, geoscience, and met-ocean factors. He holds a PhD in Marine Geoscience from the University of Manchester (2020) and has contributed to projects like EcoWind, BOWIE, DASA cables, and Geospatial HEIF. Education: BSc in Physical Oceanography (Bandung Institute of Technology, 2013), MSc in Marine Geophysics (University of Southampton, 2015), PhD in Marine Geoscience (University of Manchester, 2020). Research Interests: Geospatial assessment, seabed/ocean digitalisation, and offshore renewable energy. He has published extensively on spatial constraints for offshore wind, geospatial tools, and net-zero strategies. Projects: Active in multidisciplinary initiatives such as NERC-Crown Estate EcoWind and Benthic-Offshore Wind Interactions (BOWIE). Collaborates with the ORE Supergen Hub and IROE to address challenges in floating offshore wind and seabed characterization. Labs/Teams: Member of Southampton Marine and Maritime Institute and Southampton Geospatial groups.

Andres Gozaمشاهده پروفایل

استادیار

• Unsteady Aerodynamics
• Fluid-Structure Interaction
• Computational Fluid Dynamics
• +۳ مورد دیگر

Andres Goza is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign. He holds affiliate appointments in Computational Science and Engineering and Mechanical Science and Engineering. His research focuses on unsteady aerodynamics, fluid-structure interaction, and bio-inspired flow control. Goza's work combines computational methods and experimental insights to design passive and adaptive flow control strategies for aerodynamic systems, with applications in micro aerial vehicles and energy harvesting. Education: PhD (Mechanical Engineering, Caltech, 2018), MS (Mechanical Engineering, Caltech, 2013), BS (Mechanical Engineering, Rice University, 2011). Key areas of research include covert feather-inspired flaps, phononic materials for flow control, and vortex dynamics. Recent work explores reinforcement learning for hybrid flow control and surface morphing techniques at stalled angles of attack.

• Environmental Engineering
• Geological CO2 Storage
• Porous Media Simulation
• +۳ مورد دیگر

Rebecca Allen is an Associate Professor at the Department of Built Environment, Faculty of Technology, Art and Design at OsloMet – Oslo Metropolitan University. Her work focuses on sustainable built environments and CO2 storage solutions, emphasizing computational modeling for geoscientific challenges. She is affiliated with the Sustainable Built Environment (SustainaBuilt) research group. Her research integrates advanced simulation tools like MATLAB and Python to address critical issues in porous media analysis, heat pump thermodynamics, and CO2 storage optimization. Notable contributions include developing algorithms for quantifying effective void space in porous pavements and modeling vapor compression cycles for residential heating systems. Allen’s publications span topics such as parameter uncertainty in CO2 storage capacity estimates, formation categorization for carbon sequestration, and innovative stormwater management strategies using porous asphalt. She actively participates in international conferences like the International Conference on Net-Zero Built Environment and Scandinavian Simulation Society events. Her interdisciplinary approach bridges environmental engineering, geology, and computational methods to advance climate resilience and sustainable infrastructure. Collaborations include projects on the Norwegian Continental Shelf and public education initiatives about carbon storage technologies.

Asheesh Kumarمشاهده پروفایل

پژوهشگر

• Gas Hydrates
• Energy Recovery
• Natural Gas Storage
• +۳ مورد دیگر

Dr. Asheesh Kumar is a Researcher at the CSIR-Indian Institute of Petroleum. Previously, he held positions as a Post-Doctoral Research Fellow at the National University of Singapore (2016–2018) and a Research Associate at the University of Western Australia (2018–present). He specializes in gas hydrate technology, CO₂ capture/sequestration, and flow assurance. His work focuses on energy storage solutions, including solidified natural gas (SNG) and hydrate-based carbon capture. Education: M.Tech., Indian Institute of Technology Roorkee (2010) Ph.D., CSIR-National Chemical Laboratory, Pune (2016) Research Interests: His research spans gas hydrate formation kinetics, CO₂ sequestration in marine sediments, and sustainable energy storage. He has pioneered studies on additives to enhance hydrate stability and reduce environmental impact. Notable contributions include the use of biopolymers and recycled materials in energy systems. Key Achievements: Two of his publications are listed as highly cited by Essential Science Indicators. He received the NCL RF-Keerti Sangoram Memorial Endowment Award (2016) for excellence in research. Labs & Teams: Associated with the Fluid Science and Resources group, focusing on advanced hydrate-based technologies and sustainable resource management.

• Induced Seismicity
• Geothermal Energy
• Hydro-Geomechanical Modeling
• +۳ مورد دیگر

Dr. Vanille Ritz is a postdoctoral researcher at the Swiss Seismological Service (SED), ETH Zurich, with a split position between the Modelling Group and the GeoBest team. Her expertise lies in developing hydro-geomechanical and statistical models to understand and forecast induced seismicity in geothermal systems. She focuses on projects like GeoBest, which provides seismological support for Swiss geothermal energy initiatives, and has been a key contact for cantons Vaud, Jura, and Geneva. She holds a Ph.D. from ETH Zurich (2023) and a M.Sc. in Seismology from Université de Strasbourg (2017). Research interests include induced seismicity mitigation, geothermal reservoir engineering, and real-time seismic monitoring. Her work integrates data-driven approaches with physics-based models to optimize energy production while minimizing seismic risks. Notable contributions include the 'Transient Evolution of Earthquake Size Distributions' study (2022), recognized with the SSA Student Award. Education: Ph.D., ETH Zurich (2018–2023): Modelling Induced Seismicity in Deep Geothermal Systems M.Sc., Université de Strasbourg (2015–2017): Seismology Geophysical Engineering, Ecole et Observatoire des Sciences de la Terre (2014–2017) Professional activities include leadership in projects like DEEP (2021–2024), COSEISMIQ (2018–2021), and DESTRESS (2017–2018), advancing de-risking strategies for geothermal energy. Awards include the 2023 SSA Student Presentation Award for seismic risk indicator research. Her work bridges geoscience and engineering, emphasizing collaboration with cantonal governments and energy stakeholders to ensure sustainable geothermal development. Current efforts focus on synthetic benchmark datasets and real-time forecasting tools for induced seismicity management.

• Geo-Energy
• Energy Storage Modeling
• Carbon Capture and Storage
• +۵ مورد دیگر

Dr. Julien Mouli-Castillo is a Remote Affiliate at Lawrence Berkeley National Laboratory (LBNL) through his MSCA Global Postdoctoral Fellowship. He earned his PhD in Energy Storage Modeling (2018) and MSc in Carbon Capture and Storage with Distinction (2014) from the University of Edinburgh, following a BSc in Environmental GeoSciences (2012) from University College London. Geo-Energy Systems Subsurface Storage Technologies Low-Carbon Energy Modeling His research focuses on synergies between subsurface storage technologies, including CO2 storage, compressed air energy storage, hydrogen storage, and geothermal energy from mine water. He collaborates with industry stakeholders and contributes to life cycle and technoeconomic modeling of energy systems. Maria Skłodowska-Curie Actions (MSCA) Global Postdoctoral Fellowship Dr. Mouli-Castillo's work bridges academic research and industrial applications, emphasizing sustainable energy solutions. He has secured funding to tackle critical challenges in the energy sector, particularly around subsurface utilization for carbon sequestration and energy storage.

Li Zhaofengمشاهده پروفایل

مدرس

• Civil Engineering
• Materials Science
• Geotechnical Engineering
• +۳ مورد دیگر

Li Zhaofeng is a PhD holder and lecturer at Shandong University's Geotechnical and Structural Engineering Research Center, with research focus on material-geotechnical coupling, solid waste utilization, and underground disaster prevention. Education: Joint PhD from Nagasaki University (2016) and Shandong University (2016), Master's and Bachelor's degrees from University of Jinan Academic roles: Lecturer since 2016, Master's Supervisor Contact: lizf@sdu.edu.cn His research explores new materials for underground engineering, industrial waste valorization, and disaster control technologies. He has secured multiple major grants including NSFC Youth Program and National Key R&D Program sub-projects. Lecturer Li serves as Director of the Underground Space Branch of the Chinese Society of Rock Mechanics and Engineering, and holds multiple roles in cement/silicate societies. His teaching covers urban underground space planning, civil engineering materials, and disaster prevention theory.

Deqiang Maoمشاهده پروفایل

استاد

• Hydrogeology
• Hydrogeophysics
• Inverse Modeling
• +۳ مورد دیگر

Deqiang Mao is a Professor of Hydrogeology at the Department of Hydraulic Engineering, School of Civil Engineering, Shandong University, Jinan, China. He holds a PhD in Hydrology from The University of Arizona (2012), with prior academic appointments at New Mexico Institute of Mining and Technology (Assistant Professor, 2016-2017) and postdoctoral positions at Colorado School of Mines and The University of Arizona. His research focuses on hydrogeophysics, inverse modeling, and groundwater system characterization. Education: PhD (The University of Arizona), MS (China University of Geosciences), BS (China University of Mining and Technology) His work integrates geophysical methods like induced polarization and resistivity tomography with hydrological modeling to solve subsurface characterization challenges, including contaminant transport, coal seam fires, and aquifer heterogeneity. He actively collaborates with international researchers and serves on AGU committees for hydrogeophysics and groundwater. As a reviewer for major journals, he emphasizes quantitative approaches in hydrogeology and geophysics. Deqiang Mao's research has driven innovations in bioelectrochemical remediation of hydrocarbon-contaminated soils, time-domain induced polarization tomography, and high-performance computing applications in subsurface hydrology. He has co-authored numerous peer-reviewed articles in Geophysics , Water Resources Research , and Journal of Hydrology , advancing field and laboratory techniques for groundwater monitoring. He maintains an open research group at Shandong University, seeking students with quantitative backgrounds in hydrogeology or geophysics. His work bridges theoretical developments in inverse modeling with practical applications in mining hydrology, contaminant remediation, and geophysical survey optimization.

Philip Binghamمشاهده پروفایل

پژوهشگر

• Computational Sensing
• Image Processing
• Machine Learning
• +۶ مورد دیگر

Dr. Philip Bingham serves as Division Director for the Electrification and Energy Infrastructures Division at Oak Ridge National Laboratory (ORNL), where he leads initiatives to enhance the nation’s electric grid, storage systems, and renewable energy integration. With over two decades of experience at ORNL, he has pioneered computational sensing technologies combining image/signal processing and machine learning for industrial inspection and national security applications. Education: PhD and MS in Electrical and Computer Engineering from Georgia Institute of Technology; BS in Electrical and Computer Engineering from University of Tennessee, Knoxville Key Projects: High-resolution neutron radiography using coded-source imaging, multi-lab air cargo security threat detection, data science for defense nuclear nonproliferation Expertise: Electromagnetic sensing, X-ray/neutron radiography, multi-scale imaging sensors, and analytics His research in CAD-driven deep learning for X-ray CT reconstruction (e.g., Simurgh framework, PickerXL model) and neutron transmission simulations has produced over 15 patents. Recent publications focus on artifact reduction in industrial CT, neutron imaging of shale formations, and explainable AI for security applications. Scientific Awards: Battelle Distinguished Inventor Award National Federal Laboratory Consortium Award for Technology Transfer Exceptional Service Award (2024) from U.S. Government for nuclear nonproliferation analytics

Tyler Grohمشاهده پروفایل

عضو هیئت علمی

• Water Sustainability
• Riparian Buffer Systems
• Nitrate Removal
• +۷ مورد دیگر

Tyler Groh is an Assistant Research Professor in the Department of Ecosystem Science and Management at Pennsylvania State University's College of Agricultural Sciences. He is based at the University Park campus and is an Affiliate Researcher with the Water Sustainability Initiative. His research focuses on water quality, agricultural sustainability, and engineered natural solutions for pollution mitigation. Research Interests: Dr. Groh specializes in riparian buffer systems, particularly saturated riparian buffers, and their role in removing nitrate from agricultural drainage water. His work spans hydrology, biogeochemistry, and environmental engineering, with a strong emphasis on long-term field studies. He investigates denitrification processes, slope stability of streambanks, and the trade-offs between water quality improvement and greenhouse gas emissions such as nitrous oxide. Publication Trends: His recent publications (2015–2023) reflect a consistent focus on nitrate removal, subsurface drainage, and environmental monitoring technologies. The research is applied and data-driven, often based on long-term field experiments like the 21-year study in Iowa’s Bear Creek watershed. Keywords across his work include riparian buffers, denitrification, tile drainage, and water sustainability. Scientific Awards: Early Career Award (College of Agricultural Sciences, Penn State, 2023) Grants and Advising: Dr. Groh has been involved in USDA-funded research evaluating the effectiveness of vegetation in curbing water pollution. While formal advisees are not listed, he collaborates closely with students and researchers, as evidenced by co-authored publications with student contributors. His work supports the development of practical, science-based solutions for sustainable agriculture. Labs and Teams: He is affiliated with interdisciplinary research teams focused on water sustainability and ecosystem management at Penn State. His collaborations extend to researchers at Iowa State University and USDA-ARS, particularly in long-term agricultural environmental monitoring projects.

• Artificial Intelligence and Optimization
• Energy Transition and Sustainability
• Renewable Energy
• +۱ مورد دیگر

Dr. Amir Gharavi serves as a Lecturer (Teaching) in Energy and Data Analytics at University College London's Bartlett School of Environment, Energy, and Resources (BSEER), where he also directs the Energy System Data Analytics (ESDA) program. His academic journey spans petroleum engineering and data science, reflecting his interdisciplinary expertise. Education: PhD in Artificial Intelligence applications for oil reservoirs (University of Portsmouth) MSc in Petroleum Engineering BSc in Petroleum Engineering BSc in Genetics Dr. Gharavi's research bridges traditional energy systems with cutting-edge data analytics, focusing on four interconnected domains: Artificial Intelligence (deep learning for predictive modeling and evolutionary computation), Energy Transition (low-carbon strategies and socio-economic impacts), Renewable Energy (grid integration and lifecycle analysis), and Petroleum Reservoirs (AI-enhanced characterization and enhanced recovery techniques). His work demonstrates how machine learning transforms both conventional and renewable energy sectors. His publication portfolio reveals a clear trajectory from petroleum reservoir analytics toward broader energy system applications, with recent 2024 works expanding into collision avoidance systems - indicating strategic diversification into AI safety applications while maintaining core energy focus. This evolution showcases his ability to transfer domain expertise across technical contexts. As an educator, Dr. Gharavi leads the Energy Data Analytics and Advanced Machine Learning modules, leveraging industry experience from Halliburton and Baker Hughes to create practice-oriented curricula. His multidisciplinary background enables unique pedagogical approaches that connect petroleum engineering fundamentals with contemporary data science techniques. Dr. Gharavi maintains active industry connections through his previous roles as Data Scientist at major energy firms, though current lab affiliations aren't specified in available materials. His research direction suggests growing emphasis on AI applications for energy transition challenges, particularly in system optimization and sustainability metrics.