معرفی
Dr. Chengcheng Tao is an Assistant Professor in the School of Construction Management Technology within Purdue University's Polytechnic Institute. She holds a Ph.D. in Civil Engineering from the University of Florida and previously served as an ORISE Postdoctoral Research Fellow at the DOE National Energy Technology Laboratory. Her research spans sustainable construction materials, rheology of non-Newtonian fluids, and AI-driven infrastructure resilience.
Dr. Tao's research focuses on sustainable construction materials and manufacturing, rheology of non-Newtonian fluids (including fresh cement, concrete, and liquid epoxy), multi-functional infrastructure materials, hazard-resilient infrastructure, computational mechanics of materials, and AI-driven multi-objective optimization. Her work integrates computational modeling with experimental validation to address critical challenges in infrastructure sustainability and resilience, particularly in flood-prone regions and pipeline systems. She leads the Sustainable Infrastructure and ManUfacturing Lab (SIMULab) at Purdue.
Her publication portfolio demonstrates strong focus on infrastructure resilience modeling, cement rheology, and AI applications in civil engineering. Recent work shows increasing integration of machine learning with traditional computational mechanics, particularly in pipeline rehabilitation, flood resilience, and sustainable cement manufacturing. Key publication venues include Applied Energy, Structures, Construction and Building Materials, and Fluids.
- National Academies of Sciences, Engineering, and Medicine - Gulf Research Program Early-Career Research Fellow (2023-2025)
- American Chemical Society - Petroleum Research Fund Doctoral New Investigator Award (2023)
- Purdue Polytechnic Institute Outstanding Faculty in Discovery Award (2023-2024)
- SCMT Outstanding Faculty in Discovery Award (2022-2023 & 2023-2024)
- Illinois-Indiana Sea Grant Faculty Scholars Award (2022)
- DOE ORISE Postdoctoral Fellowship (2018-2021)
Dr. Tao has secured significant research funding as PI or Co-PI from NSF, USDOT, DOE, ACS, NASEM, IISG, and INDOT. Current projects include multi-objective optimization of precast concrete, flood resilience modeling for Great Lakes infrastructure, and AI-assisted sustainable cement manufacturing. She serves as a panel reviewer for NSF, DOE, and NCHRP, and as guest editor for multiple journal special issues. Her professional service includes voting membership in ACI Committees 135, 238, and 241, and participation in ASCE, AIChE, and SPE working groups focused on cementing challenges.
Dr. Tao leads the Sustainable Infrastructure and ManUfacturing Lab (SIMULab), which develops data-driven approaches for infrastructure resilience. The lab focuses on integrating computational mechanics with machine learning for infrastructure assessment, developing sustainable construction materials using industrial byproducts, and creating physics-based models for hazard resilience. Current projects involve Great Lakes dredged material utilization, pipeline rehabilitation technologies, and AI-driven cement manufacturing optimization.
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