Dr. Asif Khan

Dr. Asif Khan

Assistant Professor

Qualifications: PhD (Mechanical Engineering), Dongguk University (2018)
Research Interests: Artificial Intelligence (AI) for Diagnosis and Prognosis of Mechanical Systems/Structures, Modeling and Simulation of Defects in Engineering Structures, Modeling and Simulation of Rotodynamic, Energy Harvesting from Ambient Resources, General Engineering Applications of AI, Feedback Control of Smart Structures/Systems, Autonomous Learning and Control

asif.khan@giki.edu.pk
0938271858
Faculty Lobby

EDUCATION


2014-2018

Integrated Master’s and Doctoral Course Mechanical Engineering

Dongguk University Seoul, South Korea

Major: Vibration, Control, and Automation

Thesis Title: Study of Machine Learning Techniques for Classification and Prediction of Damages in Smart Composite Laminates

 2007-2011

B.Sc. Mechanical Engineering

University of Engineering & Technology (UET) Peshawar, Pakistan.

Major: Mechanical Engineering

Thesis Title: Design and Fabrication of 2D Positioning Stage Using SMA (Shape Memory Alloy) Actuator

WORK EXPERIENCE


HONORS & AWARDSAWARDS 

2018     Best Conference Paper Award Computational Structural Engineering Institute Korea (KOSEIK)

2019    Best Conference Paper Award Computational Structural Engineering Institute Korea (KOSEIK)

2020    Best Conference Paper Award Prognostic Health Management Korea (PHM Korea) 

SCHOLARSHIPS 


2014-2018     Study and Research Scholarship Dongguk University (SRD) for MS leading to PhD.

PUBLICATIONSINTERNATIONAL JOURNAL PUBLICATIONS


  • Khan, A., Kim, H.S. A Brief Overview of Delamination Localization in Laminated Composites. Multiscale Sci. Eng. (2022). https://doi.org/10.1007/s42493-022-00085-w
  • 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, 10, 3233 (I.F: 2.258, Q1-24/330).
  • Khan, A.; Raouf, I.; Noh, Y.R.; Lee, D.; Sohn, J.W.; Kim, H.S. Autonomous Assessment of Delamination in Laminated Composites Using Deep Learning and Data Augmentation. Composite Structures 2022, 290, 115502 (I.F: 5.407, Q1-11/135).
  • Khan, A.; Kim, J.-S.; Kim, H.S. Damage Detection and Isolation from Limited Experimental Data Using Simple Simulations and Knowledge Transfer. Mathematics 2022, 10, 80, (I.F: 2.258, Q1-24/330).
  • Khan, A.; Hwang, H.; Kim, H.S. Synthetic Data Augmentation and Deep Learning for the Fault Diagnosis of Rotating Machines. Mathematics 2021, 9, 2336, (I.F: 2.258, Q1-24/330).
  • 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, (I.F: 3.576, Q1-14/64).
  • 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: 2.902, Q1-16/174).
  • 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: 4.030, Q1-6/32).
  • 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: 3.576, Q1-14/64).
  • 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: 5.671, Q1-9/133).
  • 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 Adv. 2019, 1, 107–124, doi:10.1007/s42791-019-0012-2.
  • 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: 3.576, Q1-14/64).
  • 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: 9.078, Q1-1/91).
  • 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: 3.576, Q1-14/64).
  • 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: 5.407, Q1-11/135).
  • Khan, A.; Kim, H.S. Assessment of Sensor Debonding Failure in System Identification of Smart Composite Laminates. NDT & E International 2018, 93, 24–33, (I.F: 3.739, Q1- 8/32).
  • Khan, A.; Kim, H.S.; Youn, B.D. Modeling and Assessment of Partially Debonded Piezoelectric Sensor in Smart Composite Laminates. International Journal of Mechanical Sciences 2017, 131–132, 26–36, (I.F: 5.329, 12/133).
  • Khan, A.; Lee, H.S.; Kim, H.S. Analysis of Sensor-Debonding Failure in Active Vibration Control of Smart Composite Plate. Journal of Intelligent Material Systems and Structures 2017, 28, 2603–2616, (I.F: 2.569, Q3- 207/333).
  • Khan, A.; Abas, Z.; Kim, H.; Kim, J. Recent Progress on Cellulose-Based Electro-Active Paper, Its Hybrid Nanocomposites and Applications. Sensors 2016, 16, 1172, (I.F: 3.576, Q1-14/64).
  • Khan, A.; Abas, Z.; Soo Kim, H.; Oh, I.-K. Piezoelectric Thin Films: An Integrated Review of Transducers and Energy Harvesting. Smart Mater. Struct. 2016, 25, 053002, (I.F: 3.585, Q1-13/64).

CONFERENCE PRESENTATIONSINTERNATIONAL CONFERENCES


  • Asif K. and Kim H. S., “Simple Computer Simulations for the Fault Diagnosis of Actual Systems Using Knowledge Transfer” PHM Asia Pacific 2021, Jeju, South Korea, September 8-11, 2021 (Invited Speaker).
  • Asif K. and Kim H. S., “Detection of delamination in smart composite laminates using convolution neural network,” APCOM 2019, Taipei, Taiwan, December 18-21, 2019.
  • Asif K., Kim H. S. and Kim N, “Damage localization of smart composite laminates using deep learning,” 2nd International Conference on Mechanics of Advanced Materials and Structures, Nanjing, China, 19-22 October 2019
  • Asif K. and Kim H. S., “Damage localization of smart composite laminates using low frequency structural vibration,” Asia Pacific Conference of the Prognostics and Health Management Society 2019(PHMAP2019) Beijing, China, 21-25 July 2019.
  • Asif K. and Kim H. S., “Damage identification of smart composite laminates using convolution neural network,” PRESM 2019, DaNang, Vietnam, July 10-13, 2019.
  • Asif K. and Kim H. S., “Assessment of Structural Delamination and Sensor Partial Debonding in Smart Composite Laminates via Fisher Discriminant Analysis,” The 3rd International Workshop on Active Materials and Soft Mechatronics, Daejeon, Korea, October 23-26, 2018.
  • Asif K. and Kim H. S., “Damage identification of smart composite laminates using deep learning,” The 1st KSCM-GACM Joint Workshop on Computational Mechanics, Seoul, Korea, October 24-25, 2018.
  • Asif K., Lim S. C. and Kim H. S., “Output-based Damage Classification of Delaminated Smart Composite Laminates Using Deep Learning,” ICAST 2018, Seoul, Korea, Sept. 30- Oct. 4, 2018.
  • Asif K. and Kim H. S., “Damage identification of smart composite laminates using machine learning,” 8th Korea-Japan Workshop on Computational Mechanics, Nagoya, Japan, June 7-8, 2018.
  • Asif K. and Kim H. S., “Multilayer Perceptron for Classification of Structural delamination and Transducers Debonding in Smart Composite Laminates,” Asia Pacific Conference of the Prognostics and Health Management Society 2017, Jeju, Korea, July 12-15, 2017.
  • Kim H. S. and Khan A., “Study on the Effects of Partially Debonded Piezoelectric Sensor in Smart Composite Laminates,” KSME-JSME Joint Symposium on Computational Mechanics & CAE 2015, Waseda University, Tokyo, Japan, October 26, 2015.
  • Asif K. and Kim H. S., “Frequency Response Analysis of Smart Composite Laminates with Partially debonded Piezoelectric Sensor,” 3rd International Conference on COMPUTATIONAL DESIGN IN ENGINEERING, Tokyo, Japan, December 14-15, 2015.
  • Asif K. and Kim H. S., “Investigation of the dynamic effects of partial sensor debonding in smart composite laminates,” 2016 SPIE Smart Structures/NDE Conference, Las Vegas, NV, Mar 20-24, 2016.
  • Asif K. and Kim H. S., “Analysis of Actively Controlled Smart Composite Plate with Partially Debonded Sensor” 15th International Conference on Electrorheological Fluids and Magnetorheological, Incheon, July 4-8, 2016.
  • Asif K. and Kim H. S., “Effects of Partial Sensor Debonding on System Identification of Smart Composite Laminates,” 12th World Congress on Computational Mechanics – WCCM 2016, Seoul, July 24-29, 2016.
  • Asif K. Ryoo C.K. and Kim H. S., “Comparative study of classification algorithms for damage classification in smart composite laminates,” 2017 SPIE Smart Structures/NDE Conference, Portland, Oregon, USA, Mar 25-29, 2017
  • Asif K. and Kim H. S., “Comparative study of classification algorithms for damage classification in smart composite laminates,” Asia Pacific Conference of the Prognostics and Health Management Society 2017, Jeju, Korea, July 12-15, 2017.
  • Asif K. and Kim H. S., “Structural vibration-based damage classification of delaminated smart composite laminates,” 2018 SPIE Smart Structures/NDE Conference, Denver, Colorado, USA, Mar 4-8, 2018

DOMESTIC CONFERENCES (South Korea)


  • 30+ papers in domestic conferences of various Korean technical societies (KSME, KSNVE, PHM Korea, COSEIK, etc.)

PATENTS

  • Kim H. S., Lee J., Park J, Park Y. G., Kim J. Y., Sohail M. and Khan A., “Determination and prediction of abnormal status of markers for total knee arthroplasty using AI,” K.R. Patent 10-2022-0055776, May 4, 2022.

PROFESSIONAL DEVELOPMENT Invited Talks/Course Development


 

  • Invited talk on Simple Computer Simulations for the Fault Diagnosis of Actual Systems Using Knowledge Transfer” PHM Asia Pacific 2021, Jeju, South Korea, September 8-11, 2021.
  • Developing Graduate Course on “Artificial Intelligence for Structural Health Monitoring”, 2022
  • Developing Graduate Course on “Prognostics and Structural Health Management”, 2022

Journal Referee Services


  • Sensors
  • Measurements
  • Journal of Mechanical Science and Technology
  • Composites Part B: Engineering
  • International Journal of Energy Research
  • International Journal of Materials and Product Technology
  • Journal of Systems and Control Engineering
  • Sustainability
  • Expert Systems with Applications
  • Informatics
  • Micromachines
  • Applied Artificial Intelligence
  • International Journal of Thermal Sciences

Journal’s Editorial Service


  • Guest editor of special issue “Smart Structures and Materials for Sensor Applications”, Sensors (2019-2020)
  • Guest editor of special issue “Smart Composite and Sensors”, Sensors (2020-2021)

RESEARCH STUDENTS  Graduate Students  Undergraduate Students 


2022-Present

Assistant Professor

GIK Institute of Engineering Sciences and Technology, Topi, KPK.

2018-2022

Assistant Professor

Dongguk University Seoul, South Korea.

2014-2018

Research Assistant

Dongguk University Seoul, South Korea.

2012-2014

Lab Engineer

GIK Institute of Engineering Sciences and Technology, Topi, KPK.

 

Name

Thesis Title

Joining Semester

Hassan Ali

Optimization of the Support Structures for Selective Laser Melting Process

Spring 2022

Muhammad Umair

Non-Contact Structural Health Monitoring of Hybrid Laminated Composites using Artificial Intelligence

Spring 2022

Name

Thesis Title

Joining Semester

Fawad Mehboob

Allaw U Din

Kashif Khan

Experimental Design and Evaluation of Common Faults in Industrial Induction Motors using AI

Fall 2022

Shayan Malik

Sulaiman Tayyab

Muhammad Umar

Design, Fabrication, and Health assessment (AI based) test bed for different types of industrial bearings

Fall 2022

Hassan Shah

Muhammad Amjad

Inayat Shah

Design, Fabrication, Analysis and Health Assessment of Hybrid Laminated Composite Structures

Fall 2022