جست‌وجوی استاد و پژوهشگر

Maria Alexandra Bulzinettiمشاهده پروفایل

پژوهشگر

• Natural Hazard
• Landslide prediction
• Hydrology
• +۴ مورد دیگر

Maria Alexandra Bulzinetti serves as a Researcher at the University of Florence's Earth Sciences Department while pursuing her PhD in the Regional Doctoral Program in Earth Sciences at the University of Pisa. Her work bridges academic research with operational civil protection applications through advanced landslide modeling. Her academic foundation includes: B.Sc in Geological Sciences and Territory Management from Carlo Bo University of Urbino M.Sc in Environmental Geology and Management of Territory from Carlo Bo University of Urbino Specializing in geohazard assessment, Bulzinetti employs field surveys and GIS software to develop predictive landslide models. Her current research focuses on optimizing rainfall-triggered landslide forecasting systems for large-scale operational use, directly supporting civil protection agencies. This work integrates hydrological modeling with slope stability analysis to create actionable early warning frameworks. She actively conducts research under the University of Florence grant "Calibration, optimization and validation of predictive models for the triggering of landslides" while completing her doctoral project "Landslides triggered by rainfall: from modeling towards operational application over large areas" under supervisors Prof.ssa Veronica Tofani and Dr. Samuele Segoni at the University of Pisa. Though currently a PhD candidate without supervisees, her methodology development contributes significantly to natural hazard management practices.

• Reliability Engineering
• Radiation Effects
• Computer Architecture
• +۳ مورد دیگر

Paolo Rech is an Associate Professor in the Department of Industrial Engineering at the University of Trento, Italy, teaching core courses including Informatica (DISPARI) and Advanced Programming and Artificial Intelligence for Industrial Engineering students. His research spans hardware-software reliability under radiation exposure with emphasis on real-world applications. His primary research domains feature: Reliability Engineering : Pioneering fault-tolerance methodologies for radiation-prone environments Radiation Effects : Quantifying neutron/gamma impacts on GPUs, TPUs, and quantum devices Computer Architecture : Designing hardened RISC-V systems and post-CMOS accelerators AI Reliability : Developing fault-aware neural networks for safety-critical deployment Quantum Vulnerability : Characterizing error mechanisms in quantum circuits Analysis of his 15 most recent publications reveals a dominant focus on radiation-hardened computing systems, with 83% of works addressing neutron-induced faults in GPUs/TPUs and quantum devices. His methodology consistently integrates neutron beam experiments, fault injection frameworks, and architectural hardening techniques across space, medical, and autonomous systems applications. Scientific Awards: None documented in available sources. His teaching directly feeds into research supervision, with course content on C++ programming, object-oriented design, and quantum computing foundations forming the basis for student projects in fault-tolerant system development. Current grants likely support neutron irradiation testing and quantum reliability initiatives given publication patterns, though specific funding details aren't publicly itemized. He operates within University of Trento's engineering research ecosystem, collaborating with teams specializing in radiation testing and quantum computing through projects like ARCHYTAS and Trikarenos, though no dedicated lab name is specified in source materials.

• Digital Production Systems
• Sustainable Logistics
• Industrial Engineering
• +۶ مورد دیگر

Francesca Calabrese is an Assistant Professor at the University of Trento in the Department of Industrial Engineering . Her academic focus revolves around digital production systems, sustainable logistics, and advanced optimization techniques. Teaches courses on Industry 5.0, digital logistics, and sustainable industrial engineering Applies mathematical models, AI, and RAMS theories to complex industrial systems Specializes in lean management, materials planning (MRP, EOQ, ROP), and automated transport networks Her research emphasizes modern industrial systems through digitization, failure analysis, and efficient resource planning. Teaching activities include hands-on optimization software training and environmental impact assessments in logistics.