Professor Asif Khan

Name: Asif Khan

Department of Mechanical, Robotics and Energy Engineering

Dongguk University-Seoul

Pil-dong, Jung-gu, Seoul, Korea, 100-715


Biographical Information

  • Research Assistant Professor (2018~ present) Department of mechanical, robotics and energy engineering

  • M.S. leading to Ph.D. (2014-2018), Vibration Control and Automation, Dongguk University, Seoul, Korea.

  • BS. (2011) Mechanical Engineering, University of Engineering and Technology Peshawar, Pakistan

Research Interests

  • Modeling and analysis of smart composite laminates with faults

  • Finite element modeling of mechanical structures using in-house coding and commercial software packages (Matlab, Ansys, Abaqus)

  • Linear and nonlinear System identification for realizing the mathematical models of complex engineering structures and systems

  • Modeling and simulation of Rotor dynamics

  • Artificial intelligence for fault diagnosis and prognosis of mechanical structures/systems

  • Solving the issue of data imbalance and data scarcity for artificial intelligence-based fault diagnosis and prognosis

  • Modeling, simulation and experimentation of smart materials (PZTs, Shape memory alloys) for structural healthy monitoring, sensing, actuation, and closed loop feedback control

  • Energy harvesting from ambient resources using smart materials


1. 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, 1–31(I.F 4.171, Q1- 18/130).

2. Khan, A.; Kim, N.; Shin, J.K.; Kim, H.S.; Youn, B.D. Damage assessment of smart composite structures via machine learning: A review. JMST Advances 2019, 1–18.

3. Khan, A.; Kim, H.S. Active vibration control of a piezo-bonded laminated composite in the presence of sensor partial debonding and structural delaminations. Sensors 2019, 19, 540 (I.F 3.275, Q1- 5/64).

4. Khan, A.; Ko, D.-K.; Lim, S.C.; Kim, H.S. Structural vibration-based classification and prediction of delamination in smart composite laminates using deep learning neural network. Composites Part B: Engineering 2019, 161, 586–594 (I.F 7.635, Q1- 2/91).

5. Khan, A.; Khan, F.R.; Kim, H.S. Electro-active paper as a flexible mechanical sensor, actuator and energy harvesting transducer: A review. Sensors 2018, 18, 3474 (I.F 3.275, Q1- 5/64).

6. Khan, A.; Kim, H.S. Assessment of delaminated smart composite laminates via system identification and supervised learning. Composite Structures 2018, 206, 354–362 (I.F 5.138, Q1- 8/136).

7. Khan, A.; and Kim H. S, “Assessment of Sensor debonding failure in system identification of smart composite laminates,” NDT & E International, Vol. 93, January 1, 2018, pp. 24-33. (I.F 3.461, Q1-5/33).

8. Khan, A.; Kim H. S and Youn B. D., “Modeling and Assessment of Partially Debonded Piezoelectric Sensor in Smart Composite Laminates,” International Journal of Mechanical Sciences. Vol. 131-132, October 1, 2017, pp. 26-36. (I.F 4.631, Q1-14/136)

9. Khan, A.; Lee H. S. and Kim H. S, “Analysis of Sensor Debonding Failure in Active Vibration Control of Smart Composite Plate,” Journal of Intelligent Material Systems and Structures, Vol. 28, No. 18, November 2017, pp. 2603-2616. (I.F 2.410, Q3-164/314).

10. Khan, A.; Abas Z. and Kim H. S, Kim J., “Recent Progress on Cellulose-Based Electro-Active Paper, Its Hybrid Nanocomposites and

Applications,” Sensors, Vol. 16, No 8, doi:10.3390/s16081172, July 26 2016. (I.F 3.275, Q1- 5/64).

11. Khan, A.; Abas Z., Kim H. S., and Oh I. K., “Piezoelectric Thin Films: An Integrated Review of transducers and energy harvesting,” Smart

Materials and Structures, Vol.25, No. 5, May 2016, 053002. (I.F 3.163, Q1-10/64).

12. 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, 102644 (I.F 2.361, Q1-18/169).

13. Khan, A.; Kim, H.S. Classification and prediction of multidamages in smart composite laminates using discriminant analysis.

Mechanics of Advanced Materials and Structures 2020, 1–11(I.F 3.517, Q1- 4/33)

14. Khan, A.; Shin, J.K.; Lim, W.C.; Kim, N.Y.; Kim, H.S. A Deep Learning Framework for Vibration-Based Assessment of Delamination in

Smart Composite Laminates. Sensors 2020, 20, 2335 (I.F 3.275, Q1- 5/64).

Under Review paper list

  1. Khan, A.; Kim, Jun-Sik ; Kim, Heung Soo, “Damage Detection and Isolation from Limited Experimental Data using Simple Simulations and Knowledge Transfer,”, Mechanical systems and signal processing (IF: 6.471, JCR: 96.5).

  2. Khan, A. Kim, Heung Soo, “Synthetic Data Augmentation and Deep Learning for Fault Diagnosis of Rotating Machines” Expert Systems with Applications (I.F 5.452,JCR: 98.193).