Biography and expertise
Shuvodeep De is a Lecturer and Research Scientist in the Ingram School of Engineering at Texas State University, where his work bridges computational engineering, artificial intelligence, advanced manufacturing, and engineering education. He received his Bachelor in Mechanical Engineering from Jadavpur University (India) and his Ph.D. in Computational Mechanics from Virginia Tech, with doctoral research focused on Multidisciplinary Design Optimization (MDO) and HPC Applications.
Before joining Texas State, he held research positions at Oak Ridge National Laboratory (ORNL). At ORNL, he worked in a multidisciplinary high-performance computing environment on advanced manufacturing process simulation and large-scale scientific computing, including leadership-class computing systems.
His current interests increasingly center on Scientific AI: combining machine learning, physics-based simulation, optimization, and autonomous AI agents to accelerate materials discovery, engineering design, and scientific workflows. At Texas State, he also develops hands-on educational experiences in digital manufacturing, CAD/CAM, applied AI, and robotics, with an emphasis on connecting computational tools to real engineering systems.
Before joining Texas State, he held research positions at Oak Ridge National Laboratory (ORNL). At ORNL, he worked in a multidisciplinary high-performance computing environment on advanced manufacturing process simulation and large-scale scientific computing, including leadership-class computing systems.
His current interests increasingly center on Scientific AI: combining machine learning, physics-based simulation, optimization, and autonomous AI agents to accelerate materials discovery, engineering design, and scientific workflows. At Texas State, he also develops hands-on educational experiences in digital manufacturing, CAD/CAM, applied AI, and robotics, with an emphasis on connecting computational tools to real engineering systems.
Education
Doctorate Degree
PhD in Engineering Mechanics
Virginia Poly Inst & State Univ, 2017
Teaching Interests
Research Interests
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