Department of Mechanical, Robotics, and Energy Engineering
Dongguk University
Pil-dong, Jung-gu, Seoul, South Korea, 04620
Tel: +82-10-9537-8101
E-mail: mharisyazdani@dgu.ac.kr
Muhammad Haris Yazdani received his B.E. degree in Mechanical Engineering from NUST, College of EME, Pakistan, in 2023. After graduating, he served as a lab engineer at the College of EME. He is now a research assistant in the Department of Mechanical, Robotics, and Energy Engineering at Dongguk University, Seoul, Korea.
MS-Ph.D. Integrated (2024 - Present) Mechanical Engineering, Dongguk University, Seoul, Korea
B.E ( 2019 - 2023 ), Mechanical Engineering, NUST College of EME , Pakistan
September 2023 to August 2024: Lab Engineer at NUST College of EME
Laminated Composites
Structural Health Monitoring (SHM)
Prognostics and Health Management (PHM)
S. Khalid, M. H. Yazdani, M. M. Azad, M. U. Elahi, I. Raouf, and H. S. Kim, “Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review,” Mathematics, vol. 13, no. 1, p. 17, Dec. 2024, doi: 10.3390/math13010017. (SCIE | Q1 | IF: 2.3 | JCR Ranking 4.2 %)
M. H. Yazdani, M. M. Azad, S. Khalid, and H. S. Kim, “A Hybrid Deep Transfer Learning Framework for Delamination Identification in Composite Laminates,” Sensors, vol. 25, no. 3, p. 826, Jan. 2025, doi: https://doi.org/10.3390/s25030826. (SCIE | Q2 | IF: 3.4 | JCR Ranking 30 %)
M. H. Yazdani, M. M. Azad, S. Khalid, and H. S. Kim, “Deep Transfer Learning-based Hybrid Framework for Delamiantion Detection in Composite Laminates.” Korean Society of Mechanical Engineering (KSME International Conference 2025). Apr 16 - Apr 18, 2025, Grand Hyatt, Jeju.