Salman Khalid 

Postdoc
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email

[email protected]

Location

2035 GG Brown

Phone Number

(734)-210-3819

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Salman Khalid

Education

  • Mechanical Engineering, Dongguk University, Seoul, South Korea. Ph.D.
  • Mechanical Engineering, College of EME, NUST, Pakistan. MS 
  • Mechanical Engineering, College of EME, NUST, Pakistan. BS 
  • Pre-Engineering, DPS & Intercollege, Sahiwal, Pakistan. Intermediate
  • Science, DPS & Intercollege, Sahiwal, Pakistan. Matriculation

Research Interests

  • Recent/Current Research: 
  1. Artificial intelligence-based methods for the detection and localization of damage in civil infrastructure. 
  • Previous Research Experience: 
  1. Development of finite element-based fatigue damage model for the aircraft composite structures.
  2. FE modeling of interacting indentation, flexural, and delamination damage in composite lap joints. 
  3. Prognostics and Health management of Laminated composite structures.
  4. Physics informed neural networks for the fatigue crack propagation modeling of aircraft composite structures. 

Journal Publications

  • Raouf, I., Kumar, P., Khalid, S., & Kim, H. S. “Comprehensive Analysis of Current Developments, Challenges, and Opportunities for the Health Assessment of Smart Factory”. International Journal of Precision Engineering and Manufacturing-Green Technology, 2025. 
  • Yazdani M. H.,Azad M.M., Khalid S., Kim H.S., “A Hybrid Deep Transfer Learning Framework for Delamination Identification in Composite Laminates”. Sensors, 2025.
  • Khalid S., Azad M.M., Kim H.S., “A Generalized Autonomous Power Plant Fault Detection Model Using Deep Feature Extraction and Ensemble Machine Learning”. Mathematics, 2025.
  • Khalid S., Azad M.M., Kim H.S., “Finite Element Modelling of Interacting Indentation, Flexural and Delamination Damage in Lap Joints of Composites”. Mechanics of Advanced Materials and Structures, 2025.
  • Elahi, M. U., Raouf, I., Khalid, S., Ahmad, F., & Kim, H. S. (2025). Transfer Learning-Based Health Monitoring of Robotic Rotate Vector Reducer Under Variable Working Conditions.Machines, 2025.
  • Khalid S., Yazdani M. H.,Azad M.M., Elahi M.U., Raouf I., Kim H.S., “Advancements in Physics-Informed Neural Networks for Laminated Composites: A Comprehensive Review”. Mathematics, 2025.
  • Khalid, S., Jo, S. H., Shah, S. Y., Jung, J. H., & Kim, H. S. “Artificial Intelligence-Driven Prognostics and Health Management for Centrifugal Pumps: A Comprehensive Review”. Actuators 2024. 
  • Khalid S., Azad M.M., Kim H.S., “Real-World Steam Powerplant Boiler Tube Leakage Detection Using Hybrid Deep Learning”. Mathematics, 2024.
  • Cheon, Y., Jung, J., Ki, D., Khalid, S., & Kim, H. S. (2024). “Optimization of MOSFET Copper Clip to Enhance Thermal Management Using Kriging Surrogate Model and Genetic Algorithm”. Mathematics 2024. 
  • Tanveer M., Elahi M.U., Jung J., Azad M.M., Khalid S., Kim H.S., “Recent Advancements in Guided Ultrasonic Waves for Structural Health Monitoring of Composite Structures”. Applied Sciences, 2024.
  • Khalid S., Azad M.M., Kim H.S., Yoon Y., Lee H., Choi K.S., Yang Y., “A Review of Traditional and Artificial Intelligence-based Preservation Techniques for Oil Painting Artworks”, Gels, 2024.
  • Azad M.M., Cheon Y.B., Khalid S., Raouf I., Kim H.S., “Intelligent Computational Methods for Damage Detection of Laminated Composite Structures for Mobility Applications: A Comprehensive Review”, Archives of Computational Methods in Engineering, 2024.
  • Elahi, M. U., Jung, J., Khalid, S., & Kim, H. S. “Estimation of Strain for Large Deformation in SMA-textile Actuator Using Nonlinear Geometry Analysis”. Journal of the Computational Structural Engineering Institute of Korea, 2024. 
  • Kim D., Azad M. M., Khalid S., Kim H.S., “Data-driven Surrogate Modeling for Global Sensitivity Analysis and the Design Optimization of Medical Waste Shredding Systems”, Alexandria Engineering Journal, 2023. 
  • Khalid S., Song J., Azad M.M., Lee J., Jo S.H., Kim H.S., “A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management”, Mathematics, 2023. 
  • Noh, Y. R., Khalid, S., Kim, H. S., & Choi, S. K. “Intelligent Fault Diagnosis of Robotic Strain Wave Gear Reducer Using Area-Metric-Based Sampling”. Mathematics 2023 
    • DOI:10.3390/math11194081 (SCIE | Q1 | IF: 2.3 | JCR Ranking 4.2 %)
  • Kumar, P., Khalid, S., & Kim, H. S. “Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review”. Mathematics, 2023. 
  • Khalid, S., Song, J., Raouf, I., & Kim, H. S. “Advances in fault detection and diagnosis for thermal power plants: A review of intelligent techniques”. Mathematics, 2023. 
  • Kim D., Azad M. M., Khalid S., Kim H.S., “Sensitivity Analysis of Medical Waste Sterilization Shredder using Surrogate Model,” Transactions of the Korean Society of Mechanical Engineers A, 2023. 
  • Khalid S., Kim H-S, Kim H.S, Choi J-H. Inspection Interval Optimization for Aircraft Composite Tail Wing Structure Using Numerical-Analysis-Based Approach. Mathematics, 2022.
  • 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, 2022. 
  • Raouf I., Khan A., Khalid S., Sohail M., Azad M. M., Kim H.S., “Sensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey”, Mathematics, 2022. 

  • Khalid S., Kim H.S. “Recent Studies on Stress Function-Based Approaches for the Free Edge Stress Analysis of Smart Composite Laminates: A Brief Review”. Multiscale Science and Engineering 2022.
  • Azad M.M., Kim D, Salman K., Kim H.S., “Topology Optimization and Fatigue Life Estimation of Sustainable Medical Waste Shredder Blade”, Mathematics, 2022. 
  • Khalid, S., Hwang, H., & Kim, H. S. “Real-world data-driven machine-learning-based optimal sensor selection approach for equipment fault detection in a thermal power plant”. Mathematics, 2021. 
  • Azad M.M., Kim D., Khalid S., Kim H.S. “Structural Stability Analysis of Medical Waste Sterilization Shredder”. Journal of the Computational Structural Engineering Institute of Korea, 2021
  • Khalid, S., Lim, W., Kim, H. S., Oh, Y. T., Youn, B. D., Kim, H. S., & Bae, Y. C. (2020). Intelligent steam power plant boiler waterwall tube leakage detection via machine learning-based optimal sensor selection. Sensors, 2021. 
  • Raouf I, Khalid S., Khan A, Lee J, Kim H.S., Kim M-H. “A review on numerical modeling for magnetic nanoparticle hyperthermia: Progress and challenges”. Journal of Thermal Biology, 2020
  • Khalid S., Raouf I, Khan A, Kim N, Kim H.S. A review of human-powered energy harvesting for smart electronics: recent progress and challenges. International Journal of Precision Engineering and Manufacturing-Green Technology, 2019
  • Khalid S., Kim H.S. Progressive Damage Modeling of Inter and Intra Laminar Damages in Open Hole Tensile Composite Laminates. Journal of the Computational Structural Engineering Institute of Korea, 2019

International Conference

  • Khalid S., Noh Y.R. and Kim H.S.., “A Numerical Based Approach for the Fatigue Damage Prognosis of Composite Aircraft Tail Wing Structure,” Asia Pacific International Symposiumon Aerospace Technology 2021 (APISAT 2021), Jeju, Korea, November 15-17, 2021.
  • Khalid S., Hwang H. and Kim H.S., “Comparative analysis of machine learning- based optimal sensor selection algorithms for the application of the Power-plant boiler water-wall tube leakage detection,” Asia Pacific Conference of the Prognostics and Health Management Society 2021(PHMAP 2021), Jeju, Korea, September 8-11, 2021.
  • Khalid S, Noh Y.R., Kim H.S., “Numerical approach-based framework for aircraft tail wing structural maintenance and reliability sensitivity analysis” Asia Pacific Conference of the Prognostics and Health Management Society 2021(PHMAP 2021), Jeju, Korea, September 8-11, 2021.
  • Choi H., Son H., Youn B.D., Khalid S., Lim W., and Kim H.S. “Statistical Model Calibration of a Power Plant System for PHM Using Surrogate Modeling,” Asian Congress of Structural and Multidisciplinary Optimization 2020 (ACSMO2020), Seoul, Korea, November 23-25, 2020.

Academic Awards and Achievements

  • Emerging Research Excellence Award: “Optimization of fatigue crack resistance in composite materials using data-driven surrogate model”, Journal of the Computational Structural Engineering Institute of Korea, on 21st November 2024.
  • Highly Commended Paper Award: “A review of human-powered energy harvesting for smart electronics: recent progress and challenges”, IJPEM-GT, on 25th November 2021.
  • Best Paper Award: “Progressive Damage Modeling of Inter and Intra Laminar Damages in Open Hole Tensile Composite Laminates”, Journal of the Computational Structural Engineering Institute of Korea, on 24th August 2020.
  • Best Achievement Award: Best Achievement Award in autonomous intelligent machines and systems for the outstanding paper entitled “Intelligent thermal power plant boiler waterwall tube leakage detection via machine learning based optimal sensor selection”, BK-21, 16th December 2021, Dongguk University, Seoul, Republic of Korea.