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个人简介
Dr. Alipour's research focuses on scalable digitization and automation to tackle the challenges facing our built and natural environments by harnessing big data. His work integrates sensing, data analytics, and artificial intelligence with engineering domain expertise. His most recent research projects leverage deep learning, multi-modal data fusion, computer vision, virtual and augmented reality and digital image correlation for solving real-world challenging problems in structural and infrastructural engineering.
研究兴趣
论文共 40 篇作者统计合作学者相似作者
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COMPUTING IN CIVIL ENGINEERING 2023-RESILIENCE, SAFETY, AND SUSTAINABILITYpp.890-898, (2024)
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STRUCTURES CONGRESS 2023pp.340-353, (2023)
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Thomas Horton King, Jizheng He, Chun-Kai Yao,Akarsh Prabhakara,Mohamad Alipour,Swarun Kumar,Anthony Rowe,Elahe Soltanaghai
PROCEEDINGS OF THE 2023 THE 22ND INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS, IPSN 2023pp.136-148, (2023)
CoRR (2023)
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Jizheng He, Thomas Horton King, Chun-Kai Yao,Akarsh Prabhakara,Mohamad Alipour,Swarun Kumar,Anthony Rowe,Elahe Soltanaghai
PROCEEDINGS OF THE 2023 THE 22ND INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING IN SENSOR NETWORKS, IPSN 2023pp.358-359, (2023)
Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6pp.175-180, (2022)
2021 ASEE Virtual Annual Conference Content Access (2021)
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