DEPARTMENT.FACULTY
- DEPARTMENT_STAFF.QUALIFICATION
M. Tech., Ph. D. (Submitted)
- DEPARTMENT_STAFF.DESIGNATION
Guest Faculty
- DEPARTMENT_STAFF.THRUST_AREA
Design of Machine Elements, Condition Monitoring and Fault Diagnosis of Bearings
- DEPARTMENT_STAFF.ADDRESS
F-234, Street-4, Greater Azad Enclave, Dhorra Mafi, Aligarh-202002
- DEPARTMENT_STAFF.MOBILE
9045365237
- DEPARTMENT_STAFF.EMAIL
majamil.me@amu.ac.in
- DEPARTMENT_STAFF.TIME_TABLE
Mr. Mohd Atif Jamil obtained his B. Tech. and M. Tech. Degrees in Mechanical Engineering from Aligarh Muslim University in 2010 and 2013. He has recently submitted his PhD Thesis and also joined the Department of Mechanical Engineering at AMU as a Guest Faculty. Prior to this, he served as a Guest Faculty and subsequently as an Assistant Professor (Contractual) at the University Polytechnic, AMU, for about two years. Additionally, he worked as an Assistant Professor at a reputable AKTU affiliated engineering college in Aligarh for over five years.
His accomplishments include the publication of a few SCIE and Scopus indexed journal articles, a book chapter (Springer) and participation in 10 international conference proceedings/presentations. His research focuses on Condition Monitoring & Intelligent Fault Diagnosis (IFD) of rolling element bearings, and vibration modeling of bearing defects.
Mohd Atif Jamil holds a Life Membership with the Condition Monitoring Society of India (CMSI) and is an Associate Member of The Institution of Engineers (India).
- Journal Publications
Jamil, Mohd Atif, and Sidra Khanam. 2023. “Influence of One-Way ANOVA and Kruskal–Wallis Based Feature Ranking on the Performance of ML Classifiers for Bearing Fault Diagnosis.” Journal of Vibration Engineering & Technologies. [SCIE]
Jamil, Mohd Atif, and Sidra Khanam. 2022. “Fault Classification of Rolling Element Bearing in Machine Learning Domain.” International Journal of Acoustics and Vibration 27 (2): 77–90. [SCIE]
Jamil, Mohd Atif, Md Asif Ali Khan, and Sidra Khanam. 2021. “Feature-Based Performance of SVM and KNN Classifiers for Diagnosis of Rolling Element Bearing Faults.” Vibroengineering PROCEDIA, 36–42. [Scopus]
- Book Chapter
M. A. Jamil and S. Khanam, “Identifying Condition Indicators for Artificially Intelligent Fault Classification in Rolling Element Bearings, Vibration Engineering and Technology of Machinery, Volume I,” Springer Nature Singapore, 2023, pp. 323–335.
- Conference Proceedings
Mohd Atif Jamil, Md Asif Ali Khan, and Sidra Khanam, “Intelligent Approach for Compound Fault Detection in Rolling Element Bearing Using Sound Signals”, National Conference on Condition Monitoring (NCCM - 2023), jointly organized by Naval Science & Technological Laboratory (NSTL) and Condition Monitoring Society of India (CMSI), Visakhapatnam, India, Apr 27-28, 2023.
Md Asif Ali Khan, Mohd Atif Jamil, and Sidra Khanam, “Intelligent Prediction of Multiple Defects in Rolling Element Bearing Using ANN Algorithm.”, 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT-2022), Department of Electronics Engineering, Aligarh Muslim University, Aligarh, India, November 26-27, 2022.
Mohd Atif Jamil and Sidra Khanam, “Identifying Condition Indicators for Artificially Intelligent Fault Classification in Rolling Element Bearings”, XVI International Conference on Vibration Engineering & Technology of Machinery, The Vibration Institute of India, B.M.S. College of Engineering Bengaluru, Karnataka, India, December 16-18, 2021.
Mohd Atif Jamil, M. A. A. Khan, and S. Khanam, “Feature-Based Performance of SVM and KNN Classifiers for Diagnosis of Rolling Element Bearing Faults,” 53rd International JVE Online Conference, Colombo, Sri Lanka, Dec 2, 2021.
Mohd Atif Jamil and Sidra Khanam, “Multi-Class Fault Classification of Rolling Element Bearing in Machine Learning Environment”, International Conference on Condition Monitoring (ICCM-2021), Jointly organized by Tata Steel Ltd., Jamshedpur and Condition Monitoring Society of India (CMSI), India, January 21-22, 2021.
Mohd Atif Jamil, Mohammad Farhan Khan and Sidra Khanam, “Significance of Locus of Defects and Sampling Rate on Artificially Intelligent Fault Detection in Ball Bearings”, International Conference on Recent Advances in Engineering & Science (ICRAES-2020), University Polytechnic, Aligarh Muslim University, Aligarh, India, January 11-12, 2020.
Mohd Atif Jamil and Sidra Khanam, “Vibration Analysis of Rolling Element Bearings with Multiple Defects: A Review”, 13th Western Pacific Conference on Acoustics (WESPAC-2018), CSIR-NPL, New Delhi, India, November 11-15, 2018.