Biography
Md Imrul Reza Shishir is a Lecturer in the Ingram School of Engineering at Texas State University, where he specializes in engineering graphics, mechanics, and AI/ML applications. He holds a Ph.D. from the University of North Carolina at Charlotte (2022), focusing on the fracture properties of 2D materials and neural network-driven topology optimization. Additionally, he holds an M.Eng. in Mechanical Engineering from Inha University (2017) and a bachelor’s degree in Mechanical Engineering from the Bangladesh University of Engineering & Technology (BUET), earned in 2012. Notably, Dr. Shishir deepened his research impact through a Postdoctoral fellowship at North Carolina State University, where he advanced his work in computational modeling.
His expertise spans computational mechanics, advanced manufacturing, and the integration of artificial intelligence in mechanical systems. Committed to student-centered pedagogy, he emphasizes hands-on, project-based learning that prepares students for professional success. By bridging the gap between theoretical computation and experimental design, Dr. Shishir mentors future engineers to master the technical and critical thinking skills essential for modern, interdisciplinary engineering careers.
His expertise spans computational mechanics, advanced manufacturing, and the integration of artificial intelligence in mechanical systems. Committed to student-centered pedagogy, he emphasizes hands-on, project-based learning that prepares students for professional success. By bridging the gap between theoretical computation and experimental design, Dr. Shishir mentors future engineers to master the technical and critical thinking skills essential for modern, interdisciplinary engineering careers.
Research Interests
Dr. Shishir’s research interests focus on integrating AI/ML, multiscale modeling, and topology optimization to advance intelligent mechanical systems and smart manufacturing. He aims to explore AI-driven surrogate models for predicting fracture and deformation in metamaterials, significantly reducing the computational cost of traditional high-fidelity simulations.
His future work emphasizes the development of thermomechanical topology optimization frameworks, leveraging neural networks to design lightweight, thermally resilient components suitable for additive manufacturing and Industry 4.0 workflows. Additionally, he is interested in the sustainability of advanced materials, specifically investigating the durability and life-cycle of bio-based polymers and polymer electrolyte membranes (PEM).
By bridging computational design with experimental validation, Dr. Shishir seeks to involve students in hands-on projects involving CAD modeling, FEA, and 3D printing. His goal is to foster an interdisciplinary environment that prepares students for modern engineering challenges through the lens of computational solid mechanics and sustainable design.
His future work emphasizes the development of thermomechanical topology optimization frameworks, leveraging neural networks to design lightweight, thermally resilient components suitable for additive manufacturing and Industry 4.0 workflows. Additionally, he is interested in the sustainability of advanced materials, specifically investigating the durability and life-cycle of bio-based polymers and polymer electrolyte membranes (PEM).
By bridging computational design with experimental validation, Dr. Shishir seeks to involve students in hands-on projects involving CAD modeling, FEA, and 3D printing. His goal is to foster an interdisciplinary environment that prepares students for modern engineering challenges through the lens of computational solid mechanics and sustainable design.
Teaching Interests
Engineering Graphics,
Mechanical Behavior of Materials Lab
Artificial Intelligence and machine learning for Engineers
Mechanics of Materials,
Machine Design,
Finite Element Methods,
Materials Science,
Computational Materials Science,
Advanced Finite Element Methods,
Fracture Mechanics,
Computational Plasticity,
Advanced Elasticity.
Engineering Computation and Numerical Methods
Mechanical Behavior of Materials Lab
Artificial Intelligence and machine learning for Engineers
Mechanics of Materials,
Machine Design,
Finite Element Methods,
Materials Science,
Computational Materials Science,
Advanced Finite Element Methods,
Fracture Mechanics,
Computational Plasticity,
Advanced Elasticity.
Engineering Computation and Numerical Methods