Salman Khalid

Salman Khalid received his B.S. in Mechanical EngineerIng degree in 2012, M.S. in Mechanical Engineering degree in 2016 from NUST, Pakistan, and Ph.D. in Engineering degree in 2021 from the Department of Mechanical Engineering, Dongguk University, South Korea. Currently, he is working as an Assistant Professor in the Department of Mechanical, Robotics, and Energy Engineering, at Dongguk University, Seoul, Korea.

1. 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.

2. Noh, Y. R., Khalid, S., Kim, H. S., & Choi, S. K. (2023). Intelligent Fault Diagnosis of Robotic Strain Wave Gear Reducer Using Area-Metric-Based Sampling. Mathematics, 11(19), 4081.

3. Khalid, S., Song, J., Azad, M. M., Elahi, M. U., Lee, J., Jo, S. H., & Kim, H. S. (2023). A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management. Mathematics, 11(18), 3837.

4. 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; 10:3836.

5. Khan A, Khalid S., Raouf I, Sohn J-W, Kim H.S. Autonomous assessment of delamination using scarce raw structural vibration and transfer learning. Sensors 2021; 21:6239.

5. 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, 20(21), 6356.

6. 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; 91:102644.

7. 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; 6:821–51.

1. 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.

2. 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 Symposium on Aerospace Technology 2021 (APISAT 2021), Jeju, Korea, November 15-17, 2021.

3. 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.

4. 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.

5. 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.

6. Khalid S., Lim W. and Kim H.S., “Study of the in-plane and delamination damage in notched composites under tensile loading,” The 6th Korea Multi-Scale Mechanics Symposium 2019(KMSM2019), Seoul, Korea, July 4-5, 2019.

1. Development of fault detection and diagnosis system in Intelligent digital power plant

Sponsored as part of the research project (R17GA08) by Korea Electric Power Corporation 

Key tasks:

• Data acquisition and data preprocessing.
• Boiler water wall tube leakage detection and turbine motor fault detection case studies
• Optimal sensor selection via machine learning
• Utilization of machine learning and deep learning algorithms
• Physics-based data generation
• Data augmentation and fault detection

2. Research and development of risk evaluation method for aircraft composite structures

Sponsored by Korea Aero Technology Research Institute.

Key tasks:

• Development of Finite Element based Fatigue crack propagation approach
• Implementation on simple composite Double cantilever beam specimen
• Implementation of fatigue crack propagation approach in Complex aircraft tail wing structure
• Sensitivity analysis and design of experiments by using Latin hypercube selection
• Inspection interval optimization

3. Development of a Sterilization System for Medical Waste for Infection Optimized by Hospital Size

Sponsored by Korea Environmental Industry and Technology Institute (KEITI) funded by Ministry of Environment in 2021 (No.RE202101609).

Key tasks:

• Finite element modeling of the shredder blade
• Topology optimization for optimum design
• Fatigue life modeling for nominal optimized blade design
• Development of data-driven surrogate model
• Design optimization of medical waste shredding systems

4. Real-time defect detection of smart composite structures using data augmentation and artificial intelligence

Sponsored by the Basic Science Research Program through the National Research Foundation of Korea (NRF2020R1A2C1006613), funded by the Ministry of Education.

Key tasks:

• Data acquisition from mathematical model and experimentation
• Obtain Structural response from composite laminated structures
• Deep learning models for autonomous feature extraction
• Performance evaluation of extracted features through machine learning classification

1. Kim H.S., Choi J.H., Khalid S., and Kim H-S., “DEVICE AND METHOD FOR PREDICTING LIFE OF AIRCRAFT STRUCTURE” Reference no: DPE220376, Korea Patent Application Number: 10-2022-0160427, Registration Date: 25-11-2022.

2. Kim H.S., Khalid S., Hyunho H., “DEVICE AND METHOD FOR DETECTING EQUIPMENT FAULT IN THERMAL POWER PLANT” Reference no: DPC220374, Korea Patent Application Number: 10-2022-0146602, Registration Date: 05-11-2022.

3. Kim H.S., Muzammil A.M., Kim D., Khalid S., “METHOD AND DEVICE FOR DESIGNING MEDICAL WASTE SHREDDER” Reference no: DPM220247, Korea Patent Application Number: 10-2022-0055096, Registration Date: 03-05-2022.

• 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” on 16th December 2021.
• 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 on 24th August 2020.
• 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” on 25th November 2021.
• Awarded a merit-based fully funded SRD Scholarship worth $72,000 from Dongguk University, Seoul, South Korea for my Ph.D. degree.