Alipour wins Best Paper medal

Research Assistant Professor Mohamad Alipour was recently awarded the 2020 Aftab Mufti Best Paper Medal from the International Society for Structural Health Monitoring of Intelligent Infrastructure. Alipour’s paper, “A big data analytics strategy for scalable urban infrastructure condition assessment using semi-supervised multi-transform self-training,” was published in the April 2020 issue of Journal of Civil Structural Health Monitoring.

The awards committee cited creativity, originality and rigor; contribution to the field; and quality of its presentation as some of the criteria that led to their decision.

Alipour joined the CEE faculty earlier this year as part of the Construction Materials and Sustainable and Resilient Infrastructure Systems area. His research focuses on digitization and automation to tackle the challenges facing built and natural environments by harnessing big data. His work integrates sensing, data analytics and artificial intelligence with engineering domain expertise. Alipour’s most recent research projects leverage uncertainty-aware and physics-informed deep learning, multi-modal data fusion, and virtual and augmented reality for solving real-world challenging problems in structural and infrastructural engineering.