Dr. Mohammadmahdi Davoudi is an Assistant Professor in the A. Leon Linton Department of Mechanical, Robotics, and Industrial Engineering at Lawrence Technological University. He earned his Ph.D. in Mechanical Engineering from Kyungpook National University (South Korea). Prior to joining LTU, he served as a Research Professor at Yonsei University and as a Postdoctoral Fellow at Louisiana State University, where he conducted advanced research in Computational and Experimental Mechanics.

Dr. Davoudi has more than a decade of academic and industrial experience in computational mechanics, structural design, optimization, and energy harvesting systems. His research spans nonlinear analysis and optimization of structures and vehicle frames, triboelectric nanogenerators, thermal and wear life prediction in advanced materials. He has published in peer-reviewed journals and developed innovative mechanical systems and energy harvesting technologies through industry–academia collaborations, resulting in multiple patents.

He brings strong expertise in mechanical design, analysis, and manufacturing of automotive and structural systems, with proficiency in advanced simulation tools such as ABAQUS, ANSYS, COMSOL, HyperWorks, and MATLAB. His work integrates computational and experimental mechanics to deliver robust solutions for mission-critical applications in automotive, aerospace, energy, and manufacturing sectors.

» Education

• Ph.D., Mechanical Engineering, Kyungpook National University
• M.S., Mechanical Engineering, University Technology Malaysia
• B.S., Mechanical Engineering, Azad University

» Courses and Advising

• EME3043 Statics
• EME4603 Introduction to Mechanical Systems
• EME3013 Mechanics of Materials
• EME5223 Advanced Mechanics of Materials

» Research Interests

• Computational solid mechanics and structural optimization (Automotive, Structural Engineering)
• Multiphysics simulation: hot piston forging, heat transfer in porous media
• Energy harvesting system development: brake energy recovery systems, triboelectric nanogenerators (TENG) tribotester
• Tribology: wear life prediction and thermal analysis in advanced materials
• Applications of artificial intelligence in computational mechanics

Selected Publications and Patents

• Davoudi, M., Kim, C., “Topology optimization for crashworthiness of thin-walled structures under axial crash,” Engineering Optimization, 2019.
• Davoudi, M., Nejad, A.F., Koloor, S.S.R., Petrů, M., “Investigation of effective geometrical parameters on wear of hot forging die,” Journal of Materials Research and Technology, 2021.
• Davoudi, M., Ahn, C., Kim, D., “A review on triboelectric nanogenerators: recent applications and challenges,” International Journal of Precision Engineering and Manufacturing-Green Technology, 2023.
• Davoudi, M., Kim, C., “Evaluation of the axial crashworthiness of thin-walled structures with various and combined cross sections,” Journal of Mechanical Science and Technology, 2018.
• Patent: Energy Harvest and Restore Braking (EHRB) System, South Korea, 2024 (Patent No. P211118).
• Patent: Triboelectric Nanogenerator (TENG) Tester, South Korea, 2023 (Patent No. DP-2023-0872).