Biography and expertise
Dr. Shuvodeep De is a Lecturer and Research Scientist in the Ingram School of Engineering at Texas State University, working where computational mechanics, artificial intelligence, and high-performance computing meet. His work is driven by a single question: how do we make physics-based simulation fast and trustworthy enough to design the materials, structures, and manufacturing processes of the future, not just analyze them?
Dr. De earned his Ph.D. in computational mechanics at Virginia Tech under Prof. Rakesh K. Kapania, developing multidisciplinary design optimization methods for aircraft wings with curvilinear spars and ribs. During his research appointment at Oak Ridge National Laboratory, he built simulation and optimization frameworks for large-scale metal additive manufacturing. At the University of Alabama, he modeled advanced electroplating processes in research sponsored by BASF, and his industry work with NASA (through M4 Engineering) and Metalsa produced lighter aircraft wings and truck chassis through computational design.
Today, he leads research on AI-accelerated multiscale mechanics, digital twins for additive manufacturing, and closed-loop design of advanced materials, in collaboration with research groups at Rice University and Texas State University. He has more than 20 peer-reviewed publications, an h-index of 13, and is co-inventor on U.S. Patent 12,661,466. At Texas State University, he teaches hands-on courses in mechanical behavior of materials and CAD and digital manufacturing, advises senior design teams, and helps lead the department’s ABET assessment.
Dr. De earned his Ph.D. in computational mechanics at Virginia Tech under Prof. Rakesh K. Kapania, developing multidisciplinary design optimization methods for aircraft wings with curvilinear spars and ribs. During his research appointment at Oak Ridge National Laboratory, he built simulation and optimization frameworks for large-scale metal additive manufacturing. At the University of Alabama, he modeled advanced electroplating processes in research sponsored by BASF, and his industry work with NASA (through M4 Engineering) and Metalsa produced lighter aircraft wings and truck chassis through computational design.
Today, he leads research on AI-accelerated multiscale mechanics, digital twins for additive manufacturing, and closed-loop design of advanced materials, in collaboration with research groups at Rice University and Texas State University. He has more than 20 peer-reviewed publications, an h-index of 13, and is co-inventor on U.S. Patent 12,661,466. At Texas State University, he teaches hands-on courses in mechanical behavior of materials and CAD and digital manufacturing, advises senior design teams, and helps lead the department’s ABET assessment.
Education
Doctorate Degree
PhD in Engineering Mechanics
Virginia Poly Inst & State Univ, 2017
Teaching Interests
Research Interests
Intellectual Property
Patents
- “Sequential Stylet.” Shuvodeep De. Regular, #US 12,661,466 B2.
Date awarded: 2026
Featured scholarly/creative works
- Xu, S., De, S., Khaleghian, S., & Emami, A. (2025). Wear Resistance of Additively Manufactured Footwear Soles. Lubricants, 13(2), 89. https://doi.org/10.3390/lubricants13020089
- De, S., Jrad, M., & Kapania, R. K. (2019). Structural Optimization of Internal Structure of Aircraft Wings with Curvilinear Spars and Ribs. Journal of Aircraft, 56(2), 707–718. https://doi.org/10.2514/1.c034818
- De, S., Xu, S., Tang, Y., Jackson, A., Wang, P. L., Rukmani, S. J., … Li, Y. (2026). Printing the future of strain measurement: Flexible sensors via additive manufacturing for wearables, robotics, and smart infrastructure. Sensors International, 7, 100375. https://doi.org/10.1016/j.sintl.2026.100375
- De, S., Gosai, A., Thankachan, K., ZeinEldin, R. A., Almaktoom, A. T., Bayram, M., & Mohamed, A. W. (2026). From Lexicons to Large Language Models: A Comprehensive Survey of Sentiment Analysis Methods, Benchmarks, and Emerging Frontiers. Computer Modeling in Engineering & Sciences, 147(2), 1–10. https://doi.org/10.32604/cmes.2026.080601
- De, S., Meli, G., Khaleghian, S., & Emami, A. (2026). Hybrid Auxetic Architectures: Integrating Curvature‐Driven Design for Enhanced Mechanical Tunability and Structural Performance. Advanced Engineering Materials. https://doi.org/10.1002/adem.202502196