Izaz Raouf

Biographical Information

• M.S. Leading Ph.D. (March, 2018-February, 2023), Vibration Control and Automation, Dongguk University, Seoul, Korea

• BS. Mechanical Engineering (2013-2017), University of Engineering and Technology Peshawar, Pakistan

Academic Experience

• March, 2018- February, 2023; Research Assistant at Dongguk University, Seoul, Korea

• March 2023- Till date; Postdoctorate Researcher at Dongguk University, Seoul, Korea

Research Interests  

• Prognostic health management (PHM) for mechanical devices                                                                                          

• Data science and feature engineering

• Application of deep learning and machine learning fault diagnosis

• Mathematical modeling and simulation

• Heat transfer and thermal analysis

• Laminated composite

• Mathematical modeling for cancer therapy MNP Hyperthermia

• Cold spray technology

Academic Awards and Achievements

1. Izaz Raouf, Best Presentation Award, PHMAP 2021, “Mechanical fault detection of RV reducer based on machine learning using motor current signature analysis”, Jeju, September 8, 2021.

2. Izaz Raouf, Best Paper award, BK21, “Parametric investigations of magnetic nanoparticle hyperthermia in ferrofluid using finite element analysis”, Seoul, December 14, 2021. 

3. Izaz Raouf, Best Research Graduate Student Award by Dongguk University, Seoul, August 05, 2022.

4.  Izaz Raouf, Best Thesis Award, KSME 2023, “Components Level Prognostics and health management of the industrial robotic system based on artificial intelligence strategies,” Busan, May 19, 2023. 

International Publications 

1. P. Kumar, Izaz Raouf, H.S. Kim, Review on prognostics and health management in smart factory: From conventional to deep learning perspectives. Engineering Applications of Artificial Intelligence, Volume 126, Part D, November 2023, 107126 (I.F: 8, JCR: 5%)

2. Khalid, S., Song, J., Izaz Raouf, Kim, H.S., 2023. Advances in fault detection and diagnosis for thermal powerplants: A review of intelligent techniques. Mathematics;2023, 11, 1767, 1~28 (I.F: 2.59, Q1, JCR: 6.16 %)

3.  Izaz Raouf, P. Kumar, H. Lee, H.S. Kim, Transfer learning-based intelligent fault detection approach for the industrial robotic system, Mathematics; 2023, 11(4), 1~14 (I.F: 2.59, Q1, JCR: 6.16 %)

4. Hyewon Lee, Izaz Raouf, Jinwoo Song, Soobum Lee, Heung Soo Kim, Prognostics and health management of the robotic servo-motor under variable operating conditions, Mathematics; 2023, 11(398), 1~17.  (I.F: 2.59, Q1, JCR: 6.16 %)

5. Izaz Raouf, H. Lee, Y.R. Noh, B.D. Youn, H.S. Kim, Prognostic health management of the robotic strain wave gear reducer based on the variable speed of operation: a data-driven via deep learning, Journal of Computational Design & Engineering; 2022, 9(5),1175~1788. (I.F: 6.16, Q1, JCR: 10.33%)

6. Izaz Raouf, H. Lee; Kim, Heung Soo, Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: A data-driven approach, Journal of Computational Design & Engineering; 2022, 9(2), 417~433. (I.F: 6.16, Q1, JCR: 10.33%)

7. Izaz Raouf, A. Khan, S. Khalid, M. Sohail, M.M. Azad, H.S. Soo Kim, Sensor-based prognostic health management of advanced driver assistance system for autonomous vehicles: A recent survey, Mathematics; 2022, 10(18), 1~26. (I.F: 2.59, Q1, JCR: 6.16 %)

8.  Asif khan, Izaz Raouf, Heung Soo Kim, Autonomous Assessment of Delamination in Laminated Composites using Deep Learning and Data Augmentation, Composite structures; 2022, 290, 115502, 1~18.  (I.F: 5.407, Q1, JCR: 6.43%)

9. zaz Raouf, P. Gas, H.S. Kim, Numerical Investigation of Ferrofluid Preparation during In-Vitro Culture of Cancer Therapy for Magnetic Nanoparticle Hyperthermia, Sensors; 2021, 21(16), 1~19.  (I.F: 3.03, Q1, JCR: 22%)

10. Izaz Raouf, J. Lee, H.S. Kim, M.-H. Kim, Parametric investigations of magnetic nanoparticles hyperthermia in ferrofluid using finite element analysis, international journal of thermal sciences; 2021, 159, 106604, 1~10. (I.F: 3.744, Q1, JCR: 15%)

11. A. Khan, S. Khalid, Izaz Raouf, J.-W. Sohn, H.-S. Kim, Autonomous Assessment of Delamination Using Scarce Raw Structural Vibration and Transfer Learning, Sensors; 2021, 21(18), 6239, 1~19. (I.F: 3.03, Q1, JCR: 22%)

12. A. Rohan, Izaz Raouf, H.S. Kim, Rotate Vector (RV) Reducer Fault Detection and Diagnosis System: Towards Component Level Prognostics and Health Management (PHM), Sensors. 20 (2020) 6845, 1~30. (I.F: 3.03, Q1, JCR: 22%)

13.  Izaz Raouf, 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, 1~12.  (I.F: 2.9, Q1, JCR: 7.1%).

14. Khalid, S.; Izaz 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, 821~851. (I.F: 5.67, Q1, JCR: 17.15%)

National/International Conferences

1.         Izaz Raouf, Kim Min-Ho, Kim Heung Soo, “Temperature Prediction of MNPs Hyperthermia using Finite Element Modeling”, KSNVE, Feb, 2019.

2.         Izaz Raouf, Kim Heung Soo, “Parametric Study of Magnetic Nanoparticles Hyperthermia using Finite Element Analysis; KSME April 2019.

3.         Izaz Raouf, Lee Jaehun, Kim Heung Soo, “A quantitative evaluation of in-vitro MNP hyperthermia using FEA; KSME October 2019.

4.        Izaz Raouf, Lee Jaehun, Kim Heung Soo, “In-vitro studies Of Magnetic Nano-particles Hyperthermia Using Finite Element Modeling”, COSEIK, November 2019.

5.        Salman khalid, Izaz Raouf, Heung Soo Kim; Optimal Tag Selection for Boiler Water Cooling Wall Leak Detection Using Machine Learning; PHM Korea 2020; July 2020

6.       Salman khalid, Izaz Raouf, Heung Soo Kim; A Hybrid approach for Fusing Physics and Data for the detection of Boiler Water-wall tube leakage; Korean Society of  Computational Structural Engineering; August 2020

7.        Izaz Raouf, A. Rohan, Noh Yeong Rim, Hyeonho Hwang, H. Lee; Kim, Heung Soo, Robotic Arm’s reducer fault detection using motor current signature analysis (MCSA), KSNVE, October 2020.

8.         Izaz Raouf, Kim Heung Soo, Studying the potential effect of heat loss from the ferrofluid for the Hyperthermia applications; KSME, October 2020.

9.        A. Rohan, Izaz Raouf, H. Lee; Kim, Heung Soo, A consolidated approach for Electrical, Electronics, and Mechanical Fault detection and diagnosis using Motor Current Signature Analysis(MCSA) with Machine Learning-based classification system; KSME, October 2020.

10. Izaz Raouf, A. Rohan, H. Lee; Kim, Heung Soo; “Features Selection Mechanism for rotate vector (RV) reducer fault detection using motor current signature analysis (MCSA); KSNVE, May 2021.

11. Izaz Raouf, A. Rohan, H. Lee; Kim, Heung Soo; “Mechanical Fault Detection of RV Reducer Based on Machine Learning Using Motor Current  Signature Analysis”  PHMAP, Sep 2021 (international conference).

12. Noh Yeong Rim, Asif Khan, Izaz Raouf, Kim, Heung Soo; Real-time damage detection technology in smart composite laminate by applying data augmentation and transfer learning; PHMAP, Sep 2021.

13. Hyewon Lee, Sungjun Kim, Ali Rohan, Izaz Raouf, Heung Soo Kim and Soobum Lee; “Deep Scattering Coefficient Features based Rotate Vector (RV) Reducer Fault Segregation; PHMAP, Sep 2021.

14.     Izaz Raouf, Kim, Heung Soo; Mathematical Modeling of MNP Hyperthermia: Development toward the In-vivo Cancer Therapy, KSME, Nov, 2021.

15.     Izaz Raouf, Asif Khan, Yeong Rim Noh, Sungjun Kim, Heung Soo Kim; Prognostic Health management of rotate vector reducer: Development of an algorithm for speed independent fault characteristics; KSNVE, Nov, 2021.

16.     Izaz Raouf, Asif Khan, and Heung Soo Kim. Mechanical fault detection of robotics rotate vector reducer using electrical current data: An algorithm for variable speed of operation; The 7th Multi-Scale Machines Symposium 2021 (KMSM 2021)

17.     Izaz Raouf, Asif Khan, Yeong Rim Noh, Hyewon Lee, Heoung Soo Kim; Condition health monitoring of industrial robotic RV reducer based on the deep learning models: Data-driven approaches; (KSME May 2022)

18.     Noh Yeong Rim, Izaz Raouf, Heung Soo kim; Development of fault diagnosis techniques for six-axis robot combined motion, (KSME May 2022).

19.     Izaz Raouf, Hyewon Lee, Yeong Rim Noh, Heung Soo Kim; Fault detection of the robotic reducer for variable speed of operation based on deep feature extraction; (PHM Korea June 2022)

20.     Hyewon Lee, Izaz Raouf, Soobum Lee, Heung Soo Kim,  Extraction of speed-independent fault features and fault diagnosis of robot reducer through principal component analysis; (PHM Korea June 2022)

21.     Izaz Raouf, Prashant Kumar, Hyewon Lee, Heung Soo Kim; Prognostic health management for strain wave gear reducer under different operating conditions; (KSME Nov 2022)

22.     Izaz Raouf, Prashant Kumar, Hyewon Lee, Heung Soo Kim;  Component-level mechanical fault detection for the robotic arm under variable working conditions; (KMSM Dec 2022)

23.     Izaz Raouf, Prashant Kumar, Heung Soo Kim; Strain wave gear reducer fault detection based on autonomous features of the deep wavelet scattering; (COSEIK, April 2023)

24.     Izaz Raouf, Prashant Kumar, Heung Soo Kim; Mechanical fault detection of the robotic servo motor: A transfer learning approach; (3rd~5th July K-Hotel, Seoul, 2023)

25.     Izaz Raouf, Prashant Kumar, Heung Soo Kim; Health diagnosis of an industrial robotic servo motor using transfer learning; (Nov 1~4, Songdo Convensia, Incheon 2023)

Patents 

1.    김흥수, 프란산트쿠마, 이자즈라우프, 이혜원, “산업용 로봇의 스트레인 웨이브 기어 고장 진단 장치 및 고장 진단 방법,” 특허출원, 2022/11/20, 출원번호 10-2022-0155954

2.    김흥수, 아시프칸, 이자즈라우프, 노영림, 무하마드무자밀,

“적층 복합재의 분리 결함을 자율적으로 평가하는 분리 결함 평가 장치 및 분리 결함 평가 방법,” 특허출원, 2023/01/19, 출원번호 10-2023-0007682.

3.    김흥수, 이자즈라우프, 이혜원 노영림, “로봇용 스트레인 웨이브 기어 감속기에 대한 PHM을 위한 결함 검출 장치 및 결함 검출 방법,”

특허출원, 2023/02/07, 출원번호 10-2023-

0016457 (한스위스)

4.    김흥수, 이자즈라우프, 이혜원, “로봇용 RV 감속기에 대한 기계적 결함을 검출하는 결함 검출 장치 및 결함 검출 방법,” 특허출원, 2023/02/08, 출원번호 10-2023- 0016564 (한스위스)