- Associate Professor, Mechanical Engineering
- Gulf Oil/Thomas A. Dietz Career Development Professor
- Phone: 979-458-9888
- FAX: 979-845-3081
- Email: btai@tamu.edu
- Office: MEOB 413
- Website: Research Webpage
- Linkedin: Profile
Educational Background
- Ph.D., Mechanical Engineering, University of Michigan, Ann Arbor – 2011
- M.S., Applied Mechanics, National Taiwan University – 2006
- B.S., Civil Engineering, National Taiwan University – 2004
Research Interests
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- Non-traditional machining processes
- Numerical modeling of manufacturing processes
- AI in manufacturing
- Additive and hybrid manufacturing
- Surgical simulation and data analytics
Awards & Honors
- ASME Fellow - 2022
- TEES Engineering Genesis Award - 2019
- TEES Young Faculty Fellow Award, Texas A&M University - 2018
- Outstanding Young Manufacturing Engineer Award, Society of Manufacturing Engineers (SME) - 2017
- Blackall Machine Tool and Gage Award, American Society of Mechanical Engineers (ASME) - 2017
Selected Publications
- CC. Shih and B. Tai, 2025, “Dynamic Cutting Force Estimation via Fourier Neural Operator With Inferred Machine Tool Dynamics: A Proof of Concept,” Journal of Manufacturing Science and Engineering, 147(8), 081003.
- M. Heydari and B. Tai, 2025, “A Machine Learning Approach for Rapid Solution of Three-Dimensional Moving Heat Source Problems in Manufacturing,” Journal of Manufacturing Science and Engineering. 147(6), 061006.
- Nigam, A., and Tai, B. L., 2024, "Effects of in-process surface finishing on part strength in polymer material extrusion additive manufacturing," Additive Manufacturing, 80, p. 103960.
- Randolph, O., Zvanut, R., and Tai, B. L., 2024, "Microstructure analysis and machinability of additively manufactured A205 aluminum with heat treatments," Journal of Manufacturing Processes, 127, pp. 51-61.
- Nigam, A., Kellam, J. F., Ambrose, C. G., and Tai, B. L., 2024, "A Data-Driven Methodology to Comprehensively Assess Bone Drilling Using Radar Plots," JBJS Open Access, 9(1).