Daicong Da

Bio

Dr. Daicong Da joined Boise State University in 2023, and is currently an assistant professor in the Department of Mechanical and Biomedical Engineering. Before coming to Boise State, he worked as a postdoctoral scholar for the University of Wisconsin-Madison and Northwestern University in the Department of Mechanical Engineering. He earned a Ph.D. from the Université Paris-Est, France.

Dr. Da’s lab research is committed to the progress of structural and materials engineering that contributes to energy conservation and overall quality of life. Through an interdisciplinary approach combining computational and experimental research, we explore the complex interplay between mechanics, materials, design, and data science. By investigating different physics and length scales, we enable multifunctional materials and structures with dramatically improved or entirely new properties, paving the way for innovative solutions. By using state-of-the-art manufacturing techniques, we aim to facilitate tangible real-world impact.

Education

• 2023 – Present Assistant Professor, Boise State University ‐ Department of Mechanical and Biomedical Engineering
• 2020 – 2023 Postdoctoral Scholar, Northwestern University
• 2019 – 2020 Research Associate, University of Wisconsin-Madison
• 2019 – Ph.D., Université Paris-Est, France

Publications

• Book link: Topology Optimization Design of Heterogeneous Materials and Structures 
• Google scholar citation page
• ORCID
• SelectedWorks
• Northwestern The Graduate School Spotlight
• Github
• ResearchGate
• ResearchLab: Digital Design and Automation (DDa2 – under construction)
• USACM TTA on Large Scale Structural Systems and Optimal Design

Research

The performance of almost anything in the world depends to some extent on its structure. My research is designing these structures to improve performance or to achieve properties that do not exist in materials in nature. My work requires a comprehensive understanding of material and structural behavior in different scenarios to design new ones using new properties and manufacturing processes. We are currently particularly interested in:

• Mechanics of materials
• Multiscale structures
• Inverse engineering design
• Advanced manufacturing
• Data-driven science

ME 273 Introduction to Computation for Engineers

ME497/597 Multiscale Engineering