Professor Dr. Salman Khalid

Biographical Information

 Salman Khalid has 9 years of research (MS, PhD, and Post-PhD) and 2 years of teaching experience (Assistant Professor) in the field of Industrial AI (machine learning and deep learning), smart materials and structures, design optimization, Finite element modeling and simulation, and damage detection and identification. In my research, I have used “ABAQUS” software for the finite element modeling and simulation and “Python” for machine learning and deep learning research.

Experience

Assistant Professor                                                           (September 2022 – Present)

Department of Mechanical, Robotics, and Energy Engineering

Dongguk University (DGU), Seoul, Republic of Korea | www.dongguk.edu

Teaching post-graduate courses:

(3 credit hours) Fundamentals of Prognostic and health management.

(3 credit hours) Machine learning and its engineering applications.

Current research topics:

 AI-based real time damage detection approach for smart laminated composite structures.

 Structural prognostics and health management of aircraft composite structures.

AI-based age and disease diagnosis in patients.

Prognostics and health management of Oil Painting. 

Research Interests  

•  Industrial Artificial intelligence

• Prognostics and health management

• Mechanics of composite materials

• Progressive damage modeling of composite laminates

• Structural health monitoring

Professional Awards 

Best Achievement Award in autonomous intelligent machines and systems by Brain Korea 21 Four in recognition of the outstanding paper entitled “Intelligent thermal power plant boiler waterwall tube leakage detection via machine learning based optimal sensor selection” .

Best Paper Award by Journal of the Computational Structural Engineering Institute of Korea in recognition of the paper entitled “Progressive Damage Modeling of Inter and Intra Laminar Damages in Open Hole Tensile Composite Laminates" .

IJPEM-GT Highly Commended Paper Award by Korean society of precision engineering in recognition of the paper entitled “A review of human-powered energy harvesting for smart electronics: recent progress and challenges” .

PUBLICATIONS-INTERNATIONAL JOURNAL/ COMMUNICATED INTERNATIONAL JOURNALS

1.      Azad, M.M., Cheon, Y., Raouf, I., Khalid, S., Kim, H.S. (2024). Intelligent Computational Methods for Damage Detection of Laminated Composite Structures for Mobility Applications: A Comprehensive Review. Archives of Computational Methods in Engineering (Q1, Top 1% - JCR ranking 2024) [link]

2.  Kim, D., Azad, M. M., Khalid, S., & Kim, H. S. (2023). Data-driven surrogate modeling for global sensitivity analysis and the design optimization of medical waste shredding systems. Alexandria Engineering Journal, 82, 69-81. (Q1, Top 10% - JCR ranking 2023) [link]

3.  Khalid S., Kim H-S, Kim H.S, Choi J-H. (2022). Inspection Interval Optimization for Aircraft Composite Tail Wing Structure Using Numerical-Analysis-Based Approach. Mathematics; 10:3836 (Q1, Top 10% - JCR ranking 2022).[link]

4.      Khalid, S., Lee, J., & Kim, H. S. (2022). Series solution-based approach for the interlaminar stress analysis of smart composites under thermo-electro-mechanical loading. Mathematics, 10(2), 268. (Q1, Top 10% - JCR ranking 2022) [link]

RESEARCH PAPER PRESENTED IN NATIONAL / INTERNATIONAL CONFERENCES

1. Elahi, M. U., Khalid, S., Song, J., & Kim, H. S. Development of unit cell model for prediction of large deformation in SMA-textile base actuator. In Soft Mechatronics and Wearable Systems (Vol. 12948, pp. 95-101). SPIE. California, United States, March 25-28, 2024. [link]

2. Khalid S., Kim H.S., Noh Y.R., Kim H.S. and Choi H.H., “Inspection Interval Optimization of Aircraft Composite Structure using Finite Element Analysis,” 15th World Congress on Computational Mechanics (WCCM-XV) & the 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), Yokohama, Japan, July 31 – August 5, 2022. [link]

3. Khalid S., Kim H.S., “Maximizing interpretability of rotor failure detection using LIME-based explainable artificial intelligence”, PHM KOREA 2023, Seoul, 2023/07/03~05. [link]

4. Khalid S., Kim H.S. “Development of deep learning-based steam turbine fault detection approach,” 2022 Korean society for vibration and noise engineering (KSNVE) fall conference, Jeju, November 2-5, 2022. [link]

5.  Khalid S., Kim H.S., “Development of early fault detection system in Intelligent digital power plant,” 2022 Korean society for vibration and noise engineering (KSNVE) spring conference, Changwon, May 25-28, 2022. [link]

6. Khalid S., Kim H.S., “Finite Element Analysis based optimization of inspection intervals of composite Aircraft Structures,” 2022 Korean Society of Mechanical Engineers CAE and Applied Mechanics Spring Conference, Busan, May 19-21, 2022. [link]