جست‌وجوی استاد و پژوهشگر

Zeris Christosمشاهده پروفایل

استاد

• Structural Engineering
• Reinforced Concrete
• Seismic Performance Analysis
• +۳ مورد دیگر

Zeris Christos is a Professor in the Department of Structural Engineering at the National Technical University of Athens (NTUA), where he also directs the Reinforced Concrete Laboratory. His work focuses on seismic performance evaluation, fire-resistant concrete, and composite material applications. Academic Rank: Professor Department: Structural Engineering Institution: NTUA Research interests include: Seismic behavior of reinforced concrete (RC) structures Advanced cementitious composites with carbon nanotubes Corrosion resistance in concrete materials Second-order effects in structural analysis Rocking oscillators and soft story dynamics Blast mitigation strategies for structural systems His recent publications emphasize numerical modeling of seismic performance, chloride penetration in CNT-reinforced concrete, and cyclic load testing of RC interfaces. Key trends include fire-resistant concrete innovation and seismic retrofitting methodologies.

• Carbon Dioxide Removal
• Underground Hydrogen Storage
• Volcanic Eruption Forecasting
• +۳ مورد دیگر

David Dempsey is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Canterbury's Faculty of Engineering, where he has been affiliated since December 2020. He leads the Subsurface Engineering Group, addressing critical challenges for a low-emissions future. His research integrates geomechanics, machine learning, and fluid dynamics across four key areas: Carbon Dioxide Removal : Designing systems to combust forestry waste and sequester CO₂ in geothermal reservoirs. Underground Hydrogen Storage : Modeling hydrogen injection/recovery in depleted gas fields. Volcanic Forecasting : Developing real-time ML systems for eruption prediction using seismic data. Induced Seismicity : Quantifying earthquake risks from energy projects. His recent publications (2021-2025) show a strong focus on machine learning applications in geohazards and energy storage, with themes including seismic forecasting, CO₂-hydrogen geostorage, and wildfire prediction. Numerical modeling and data-driven approaches dominate his methodology. He actively supervises 13+ graduate students on projects such as hydrogen geostorage, volcanic forecasting, and flood prediction. His group collaborates with industry on geothermal and seismic risk projects, leveraging real-time data from networks like GeoNet.