Sustainable Infrastructure and Geoengineering Lab (SIGLab)’s Post

🚀 Upcoming PhD Defense: AI-Powered Forecasting for #ClimateResilient Infrastructure 🌍 We are pleased to announce that Ali Gheysari, a PhD candidate in Civil Engineering at #SIGLab, will defend his thesis entitled "AI-Powered Data-Driven Ground Surface Temperature Forecasting for Climate-Resilient Infrastructure in Cold Regions". 🗓 Date: Monday, March 17, 2025 🕙 Time: 10:00 AM CST 💻 Location: Online (via Microsoft Teams – please contact fatolaha@myumanitoba.ca for the link) Ali’s innovative research addresses critical challenges in forecasting ground surface temperature, a key factor affecting infrastructure stability in cold regions. Recognizing the limitations of traditional forecasting methods, his work leverages advanced #MachineLearning algorithms trained on extensive reanalysis datasets to provide accurate long-term predictions. His results show significant improvements over conventional techniques, enabling more precise risk assessment and resilient design for northern Canadian infrastructure impacted by #ClimateChange. Applications of Ali's research include improved planning and management of infrastructure, enhancing safety, sustainability, and resilience in Canada's northern regions. Join us online to learn more about how #AI and #DataScience can advance infrastructure design and safety in response to climate change! Best of luck, Ali! 🎓 #PhDDefense #CivilEngineering #Permafrost #Infrastructure #Forecasting #ClimateAdaptation #SIGLab #Sustainability #Research