Ammar Alammar received his master’s degree in architecture as a professional degree from NewSchool of Architecture and Design, USA in 2015. He also, received his Bachelor’s degree from King Saud University, Saudi Arabia in 2010. Ammar was working as a lecturer in King Saud University, Saudi Arabia. Before that, he worked for several architectural firms in Riyadh, SA. Through this experiences, Arch Ammar gained various skills that helped him to become an expert in this filed. His PhD research thesis is entitled, ‘Predicting the Performance of Adaptive Façade using Machine Learning’, under Dr Wassim Jabi supervision. Besides that, Ammar work as a part-time tutor at the Welsh School of Architecture, Cardiff University (WAS). His research interests include computational methods in architecture, building performance simulation, and machine learning in architecture.
Alammar, Ammar, and Jabi, Wassim 2022. Predicting Cooling Energy Demands of Adaptive Facades using Artificial Neural Network. Presented at: the 13th annual Symposium on Simulation for Architecture and Urban Design (SimAUD 2022), with the Annual Modeling and Simulation Conference (ANNSIM 2022), SAN DIEGO STATE UNIVERSITY, SAN DIEGO, CA, USA, JULY 18 - 20, 2022.
Alammar, Ammar, Jabi, Wassim and Lannon, Simon 2021. Predicting incident solar radiation on building’s envelope using machine learning. Presented at: 12th Symposium on Simulation for Architecture and Urban Design (SimAUD 2021), Virtual, 15-17 April 2021.
His research interests include computational methods in architecture, building performance simulation, and machine learning in architecture.