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The Mechanics of Composites for Energy and Mobility Laboratory team is characterized by international diversity, combined with training in diverse backgrounds, including applied mathematics, mechanical engineering, aeronautics & astronautics, material science, civil engineering, and computer science.

Our Team

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Research Technician

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Visiting Students

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Ms/PhD Students

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Research Scientists

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Postdoctoral Fellows

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Ph.D. Students

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Admin

Principal Investigator

Gilles Lubineau, PhD, HDR

Professor of Mechanical Engineering, PI of Mechanics of Composites for Energy and Mobility (MCEM)

Research Interests: Aging of Composite Structures, Computational Strategies, Damage Modeling, Coupling Strategies, Degradation of Composite Structures, Environmental Degradation, Mechanical Degradation

Research Scientist

Ahmed Wagih Abdel Hady, PhD

PhD, MS (Universitat de Girona), BS (Zagazig University)​​​​​

Research Interests: Nanomaterials, Mechanical Degradation, Damage Modeling

Asif Khan, PhD

PhD, M.S (Dongguk University), B.S. (UET)

Research Interests: Composite Materials, Computational Damage Mechanics, Damage Characterization, Degradation of Composite Structures, Finite Element Method

Xiaole Li, PhD

PhD (Univ. Portsmouth), PhD (HIT), MS (HIT), BS (HIT)​​​

Research Interests: Computational Strategies

Asif Khan, PhD

Research Scientist

PhD, M.S (Dongguk University), B.S. (UET)

Current

Location:

Building 4, Level 2, 2207-CU06

Social Profile:

Biography

Dr. Asif Khan is a Research Consultant at the Mechanics of Composites for Energy and Mobility (MCEM) lab at King Abdullah University for Science and Technology (KAUST). He obtained his Ph.D. degree from Dongguk University in Seoul, South Korea, in 2018. He worked as an Assistant Professor at Dongguk University from 2018 to 2022, and in GIK Institute from 2022 to 2024. Recently, in February 2024, he joined KAUST as a research consultant. During his career, he has published 22 papers in highly ranked journals and 2 Korean patents and communicated more than 20 international conference presentations.

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, Data-Driven Decision in Mechanical Engineering.

Selected Publications

  1. Khan A, Kim HS. Damage assessment of laminated composites using unsupervised autonomous features. Journal of Thermoplastic Composite Materials. 2023;0(0). doi:10.1177/08927057231208970, (I.F: 3.3, Q2 – 13/28)
  2. Khan, A.; Azad, M.M.; Sohail, M.; Kim, H.S. A Review of Physics-Based Models in Prognostics and Health Management of Laminated Composite Structures. Int. J. Precis. Eng. Manuf.-Green Technol. 2023, 1–21. (I.F: 4.66, Q1- 24/137)
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).

Education

  • Integrated MS leading to Ph.D., Mechanical Engineering (Vibration, Control, & Automation), ​​Dongguk University Seoul, South Korea Feb 2018
  • B.Sc., Mechanical Engineering, University of Engineering and Technology (UET) Peshawar, Pakistan, Oct 2011.

Professional Profile

  • Research Scientist, KAUST, Saudi Arabia, ​2024-present 
  • Research consultant, KAUST, Saudi Arabia, ​2024

Scientific and Professional Membership

  • Korean Society of Mechanical Engineering (KSME)
  • Korean Society of Noise & Vibration (KSNVE)
  • Prognostic Health Management Korea (PHM Korea)
  • Computational Structural Engineering Institute Korea (COSEIK)
  • Korean Society of Composite Materials (KSCM)
  • Korea Multi-Scale Mechanics Society (KMSM)
  • Pakistan Engineering Council (PEC) 

Awards

  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2018
  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2019
  • Best Conference Paper Award Prognostic Health Management (PHM) Korea 2020
  • Study and Research Scholarship Dongguk University (SRD) for MS leading to PhD, Dongguk University (Feb 2014 – Feb 2018)

KAUST Affiliations

Division of Physical Sciences and Engineering (PSE)

Research Interests Keywords

Composite Materials Computational Damage Mechanics Damage Characterization Degradation of Composite Structures Finite Element Method

PhD Student

Abrar Alshaikh

MS (Stanford University), BS (Texas A&M University)​

Research Interests: Flexible Electronics, Manufacturing - nanoreinforced composite materials, Sensors, Sustainable Design

Hassan Mahmoud

MSc (Cairo University), BSc (Cairo University)​

Research Interests: Finite Element Method, Peridynamic Theory, Computational Mechanics, Fracture mechanics, Mechanical Testing

Mohammed Bahabri

MSc (KAUST), BSc (UW-Madison)

Research Interests: Nanomaterials, Structural and Chemical Characterizations

Yupeng Shi

MSc (Xi'an Jiaotong University), BSc (Nanjing University of Aeronautics and Astronautics)​

Research Interests: Digital Image Correlation, Optical Measurements, Identification - Full Field Measurement

Asif Khan, PhD

Research Scientist

PhD, M.S (Dongguk University), B.S. (UET)

Current

Location:

Building 4, Level 2, 2207-CU06

Social Profile:

Biography

Dr. Asif Khan is a Research Consultant at the Mechanics of Composites for Energy and Mobility (MCEM) lab at King Abdullah University for Science and Technology (KAUST). He obtained his Ph.D. degree from Dongguk University in Seoul, South Korea, in 2018. He worked as an Assistant Professor at Dongguk University from 2018 to 2022, and in GIK Institute from 2022 to 2024. Recently, in February 2024, he joined KAUST as a research consultant. During his career, he has published 22 papers in highly ranked journals and 2 Korean patents and communicated more than 20 international conference presentations.

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, Data-Driven Decision in Mechanical Engineering.

Selected Publications

  1. Khan A, Kim HS. Damage assessment of laminated composites using unsupervised autonomous features. Journal of Thermoplastic Composite Materials. 2023;0(0). doi:10.1177/08927057231208970, (I.F: 3.3, Q2 – 13/28)
  2. Khan, A.; Azad, M.M.; Sohail, M.; Kim, H.S. A Review of Physics-Based Models in Prognostics and Health Management of Laminated Composite Structures. Int. J. Precis. Eng. Manuf.-Green Technol. 2023, 1–21. (I.F: 4.66, Q1- 24/137)
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).

Education

  • Integrated MS leading to Ph.D., Mechanical Engineering (Vibration, Control, & Automation), ​​Dongguk University Seoul, South Korea Feb 2018
  • B.Sc., Mechanical Engineering, University of Engineering and Technology (UET) Peshawar, Pakistan, Oct 2011.

Professional Profile

  • Research Scientist, KAUST, Saudi Arabia, ​2024-present 
  • Research consultant, KAUST, Saudi Arabia, ​2024

Scientific and Professional Membership

  • Korean Society of Mechanical Engineering (KSME)
  • Korean Society of Noise & Vibration (KSNVE)
  • Prognostic Health Management Korea (PHM Korea)
  • Computational Structural Engineering Institute Korea (COSEIK)
  • Korean Society of Composite Materials (KSCM)
  • Korea Multi-Scale Mechanics Society (KMSM)
  • Pakistan Engineering Council (PEC) 

Awards

  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2018
  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2019
  • Best Conference Paper Award Prognostic Health Management (PHM) Korea 2020
  • Study and Research Scholarship Dongguk University (SRD) for MS leading to PhD, Dongguk University (Feb 2014 – Feb 2018)

KAUST Affiliations

Division of Physical Sciences and Engineering (PSE)

Research Interests Keywords

Composite Materials Computational Damage Mechanics Damage Characterization Degradation of Composite Structures Finite Element Method

Asif Khan, PhD

Research Scientist

PhD, M.S (Dongguk University), B.S. (UET)

Current

Location:

Building 4, Level 2, 2207-CU06

Social Profile:

Biography

Dr. Asif Khan is a Research Consultant at the Mechanics of Composites for Energy and Mobility (MCEM) lab at King Abdullah University for Science and Technology (KAUST). He obtained his Ph.D. degree from Dongguk University in Seoul, South Korea, in 2018. He worked as an Assistant Professor at Dongguk University from 2018 to 2022, and in GIK Institute from 2022 to 2024. Recently, in February 2024, he joined KAUST as a research consultant. During his career, he has published 22 papers in highly ranked journals and 2 Korean patents and communicated more than 20 international conference presentations.

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, Data-Driven Decision in Mechanical Engineering.

Selected Publications

  1. Khan A, Kim HS. Damage assessment of laminated composites using unsupervised autonomous features. Journal of Thermoplastic Composite Materials. 2023;0(0). doi:10.1177/08927057231208970, (I.F: 3.3, Q2 – 13/28)
  2. Khan, A.; Azad, M.M.; Sohail, M.; Kim, H.S. A Review of Physics-Based Models in Prognostics and Health Management of Laminated Composite Structures. Int. J. Precis. Eng. Manuf.-Green Technol. 2023, 1–21. (I.F: 4.66, Q1- 24/137)
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).

Education

  • Integrated MS leading to Ph.D., Mechanical Engineering (Vibration, Control, & Automation), ​​Dongguk University Seoul, South Korea Feb 2018
  • B.Sc., Mechanical Engineering, University of Engineering and Technology (UET) Peshawar, Pakistan, Oct 2011.

Professional Profile

  • Research Scientist, KAUST, Saudi Arabia, ​2024-present 
  • Research consultant, KAUST, Saudi Arabia, ​2024

Scientific and Professional Membership

  • Korean Society of Mechanical Engineering (KSME)
  • Korean Society of Noise & Vibration (KSNVE)
  • Prognostic Health Management Korea (PHM Korea)
  • Computational Structural Engineering Institute Korea (COSEIK)
  • Korean Society of Composite Materials (KSCM)
  • Korea Multi-Scale Mechanics Society (KMSM)
  • Pakistan Engineering Council (PEC) 

Awards

  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2018
  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2019
  • Best Conference Paper Award Prognostic Health Management (PHM) Korea 2020
  • Study and Research Scholarship Dongguk University (SRD) for MS leading to PhD, Dongguk University (Feb 2014 – Feb 2018)

KAUST Affiliations

Division of Physical Sciences and Engineering (PSE)

Research Interests Keywords

Composite Materials Computational Damage Mechanics Damage Characterization Degradation of Composite Structures Finite Element Method

Asif Khan, PhD

Research Scientist

PhD, M.S (Dongguk University), B.S. (UET)

Current

Location:

Building 4, Level 2, 2207-CU06

Social Profile:

Biography

Dr. Asif Khan is a Research Consultant at the Mechanics of Composites for Energy and Mobility (MCEM) lab at King Abdullah University for Science and Technology (KAUST). He obtained his Ph.D. degree from Dongguk University in Seoul, South Korea, in 2018. He worked as an Assistant Professor at Dongguk University from 2018 to 2022, and in GIK Institute from 2022 to 2024. Recently, in February 2024, he joined KAUST as a research consultant. During his career, he has published 22 papers in highly ranked journals and 2 Korean patents and communicated more than 20 international conference presentations.

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, Data-Driven Decision in Mechanical Engineering.

Selected Publications

  1. Khan A, Kim HS. Damage assessment of laminated composites using unsupervised autonomous features. Journal of Thermoplastic Composite Materials. 2023;0(0). doi:10.1177/08927057231208970, (I.F: 3.3, Q2 – 13/28)
  2. Khan, A.; Azad, M.M.; Sohail, M.; Kim, H.S. A Review of Physics-Based Models in Prognostics and Health Management of Laminated Composite Structures. Int. J. Precis. Eng. Manuf.-Green Technol. 2023, 1–21. (I.F: 4.66, Q1- 24/137)
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).

Education

  • Integrated MS leading to Ph.D., Mechanical Engineering (Vibration, Control, & Automation), ​​Dongguk University Seoul, South Korea Feb 2018
  • B.Sc., Mechanical Engineering, University of Engineering and Technology (UET) Peshawar, Pakistan, Oct 2011.

Professional Profile

  • Research Scientist, KAUST, Saudi Arabia, ​2024-present 
  • Research consultant, KAUST, Saudi Arabia, ​2024

Scientific and Professional Membership

  • Korean Society of Mechanical Engineering (KSME)
  • Korean Society of Noise & Vibration (KSNVE)
  • Prognostic Health Management Korea (PHM Korea)
  • Computational Structural Engineering Institute Korea (COSEIK)
  • Korean Society of Composite Materials (KSCM)
  • Korea Multi-Scale Mechanics Society (KMSM)
  • Pakistan Engineering Council (PEC) 

Awards

  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2018
  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2019
  • Best Conference Paper Award Prognostic Health Management (PHM) Korea 2020
  • Study and Research Scholarship Dongguk University (SRD) for MS leading to PhD, Dongguk University (Feb 2014 – Feb 2018)

KAUST Affiliations

Division of Physical Sciences and Engineering (PSE)

Research Interests Keywords

Composite Materials Computational Damage Mechanics Damage Characterization Degradation of Composite Structures Finite Element Method

Asif Khan, PhD

Research Scientist

PhD, M.S (Dongguk University), B.S. (UET)

Current

Location:

Building 4, Level 2, 2207-CU06

Social Profile:

Biography

Dr. Asif Khan is a Research Consultant at the Mechanics of Composites for Energy and Mobility (MCEM) lab at King Abdullah University for Science and Technology (KAUST). He obtained his Ph.D. degree from Dongguk University in Seoul, South Korea, in 2018. He worked as an Assistant Professor at Dongguk University from 2018 to 2022, and in GIK Institute from 2022 to 2024. Recently, in February 2024, he joined KAUST as a research consultant. During his career, he has published 22 papers in highly ranked journals and 2 Korean patents and communicated more than 20 international conference presentations.

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, Data-Driven Decision in Mechanical Engineering.

Selected Publications

  1. Khan A, Kim HS. Damage assessment of laminated composites using unsupervised autonomous features. Journal of Thermoplastic Composite Materials. 2023;0(0). doi:10.1177/08927057231208970, (I.F: 3.3, Q2 – 13/28)
  2. Khan, A.; Azad, M.M.; Sohail, M.; Kim, H.S. A Review of Physics-Based Models in Prognostics and Health Management of Laminated Composite Structures. Int. J. Precis. Eng. Manuf.-Green Technol. 2023, 1–21. (I.F: 4.66, Q1- 24/137)
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).

Education

  • Integrated MS leading to Ph.D., Mechanical Engineering (Vibration, Control, & Automation), ​​Dongguk University Seoul, South Korea Feb 2018
  • B.Sc., Mechanical Engineering, University of Engineering and Technology (UET) Peshawar, Pakistan, Oct 2011.

Professional Profile

  • Research Scientist, KAUST, Saudi Arabia, ​2024-present 
  • Research consultant, KAUST, Saudi Arabia, ​2024

Scientific and Professional Membership

  • Korean Society of Mechanical Engineering (KSME)
  • Korean Society of Noise & Vibration (KSNVE)
  • Prognostic Health Management Korea (PHM Korea)
  • Computational Structural Engineering Institute Korea (COSEIK)
  • Korean Society of Composite Materials (KSCM)
  • Korea Multi-Scale Mechanics Society (KMSM)
  • Pakistan Engineering Council (PEC) 

Awards

  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2018
  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2019
  • Best Conference Paper Award Prognostic Health Management (PHM) Korea 2020
  • Study and Research Scholarship Dongguk University (SRD) for MS leading to PhD, Dongguk University (Feb 2014 – Feb 2018)

KAUST Affiliations

Division of Physical Sciences and Engineering (PSE)

Research Interests Keywords

Composite Materials Computational Damage Mechanics Damage Characterization Degradation of Composite Structures Finite Element Method

Asif Khan, PhD

Research Scientist

PhD, M.S (Dongguk University), B.S. (UET)

Current

Location:

Building 4, Level 2, 2207-CU06

Social Profile:

Biography

Dr. Asif Khan is a Research Consultant at the Mechanics of Composites for Energy and Mobility (MCEM) lab at King Abdullah University for Science and Technology (KAUST). He obtained his Ph.D. degree from Dongguk University in Seoul, South Korea, in 2018. He worked as an Assistant Professor at Dongguk University from 2018 to 2022, and in GIK Institute from 2022 to 2024. Recently, in February 2024, he joined KAUST as a research consultant. During his career, he has published 22 papers in highly ranked journals and 2 Korean patents and communicated more than 20 international conference presentations.

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, Data-Driven Decision in Mechanical Engineering.

Selected Publications

  1. Khan A, Kim HS. Damage assessment of laminated composites using unsupervised autonomous features. Journal of Thermoplastic Composite Materials. 2023;0(0). doi:10.1177/08927057231208970, (I.F: 3.3, Q2 – 13/28)
  2. Khan, A.; Azad, M.M.; Sohail, M.; Kim, H.S. A Review of Physics-Based Models in Prognostics and Health Management of Laminated Composite Structures. Int. J. Precis. Eng. Manuf.-Green Technol. 2023, 1–21. (I.F: 4.66, Q1- 24/137)
  3. 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).
  4. 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).
  5. 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).
  6. 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).
  7. 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).
  8. 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).
  9. 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).
  10. 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).
  11. 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).
  12. 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).
  13. 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).
  14. 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).

Education

  • Integrated MS leading to Ph.D., Mechanical Engineering (Vibration, Control, & Automation), ​​Dongguk University Seoul, South Korea Feb 2018
  • B.Sc., Mechanical Engineering, University of Engineering and Technology (UET) Peshawar, Pakistan, Oct 2011.

Professional Profile

  • Research Scientist, KAUST, Saudi Arabia, ​2024-present 
  • Research consultant, KAUST, Saudi Arabia, ​2024

Scientific and Professional Membership

  • Korean Society of Mechanical Engineering (KSME)
  • Korean Society of Noise & Vibration (KSNVE)
  • Prognostic Health Management Korea (PHM Korea)
  • Computational Structural Engineering Institute Korea (COSEIK)
  • Korean Society of Composite Materials (KSCM)
  • Korea Multi-Scale Mechanics Society (KMSM)
  • Pakistan Engineering Council (PEC) 

Awards

  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2018
  • Best Conference Paper Award Computational Structural Engineering Institute Korea (COSEIK) 2019
  • Best Conference Paper Award Prognostic Health Management (PHM) Korea 2020
  • Study and Research Scholarship Dongguk University (SRD) for MS leading to PhD, Dongguk University (Feb 2014 – Feb 2018)

KAUST Affiliations

Division of Physical Sciences and Engineering (PSE)

Research Interests Keywords

Composite Materials Computational Damage Mechanics Damage Characterization Degradation of Composite Structures Finite Element Method