DEPARTMENT.FACULTY
- DEPARTMENT_STAFF.QUALIFICATION
Ph. D. (Bearing Condition Monitoring)
- DEPARTMENT_STAFF.DESIGNATION
Guest Faculty
- DEPARTMENT_STAFF.THRUST_AREA
Design of Machine Elements, Vibration Based Condition Monitoring, Intelligent Fault Diagnosis of Bearings
- DEPARTMENT_STAFF.ADDRESS
Machinery Condition Monitoring Laboratory, Mechanical Engineering Department, AMU, Aligarh
- DEPARTMENT_STAFF.MOBILE
9045365237
- DEPARTMENT_STAFF.EMAIL
majamil.me@amu.ac.in
- DEPARTMENT_STAFF.TIME_TABLE
Dr. Mohd Atif Jamil obtained his B. Tech. and M. Tech. Degrees in Mechanical Engineering from Aligarh Muslim University in 2010 and 2013. He completed his Ph. D. at AMU in 2023 and currently serves as a Guest Faculty in the Department of Mechanical Engineering. Prior to this, he has also served the department as an Assistant Professor (Ad hoc). Previously, he worked as a Guest Faculty and later as an Assistant Professor (Contractual) at the University Polytechnic, AMU, for approximately two years. Following his M. Tech., he also spent nearly six years as an Assistant Professor at a reputed AKTU-affiliated engineering college in Aligarh.
He has contributed to his field through a few publications in SCIE and Scopus-indexed journals, four book chapters published by Springer, and 15 national/international conference proceedings/presentations. His research primarily focuses on Condition Monitoring and Intelligent Fault Diagnosis (IFD) of rolling element bearings and vibration modeling of bearing defects.
Dr. Mohd Atif is a Life Member of the Condition Monitoring Society of India (CMSI) and an Associate Member of The Institution of Engineers (India).
- Key publication
Jamil, M. A. & Khanam, S. Influence of one-way ANOVA and Kruskal–Wallis based feature ranking on the performance of ML classifiers for bearing fault diagnosis. J. Vib. Eng. Technol. 12, 3101–3132 (2024). [SCIE]
- Journal Publications
Jamil, M. A. & Khanam, S. Influence of one-way ANOVA and Kruskal–Wallis based feature ranking on the performance of ML classifiers for bearing fault diagnosis. J. Vib. Eng. Technol. 12, 3101–3132 (2024). [SCIE]
Jamil, M. A. & Khanam, S. Fault classification of rolling element bearing in machine learning domain. Int. J. Acoust. Vib. 27(2), 77–90 (2022). [SCIE]
Jamil, M. A., Khan, M. A. A. & Khanam, S. Feature-based performance of SVM and KNN classifiers for diagnosis of rolling element bearing faults. Vibroengineering PROCEDIA. 39, 36–42 (2021). [Scopus]
Zakariya, S. M. & Jamil, M. A. Unsupervised Content based Image Retrieval at Different Precision Level by Combining Multiple Features. J. Phys. Conf. Ser. 1950, (2021). [Scopus]
- Book Chapters
Jamil, M. A. & Khanam, S. Identifying Condition Indicators for Artificially Intelligent Fault Classification in Rolling Element Bearings. in Vibration Engineering and Technology of Machinery, Volume I, 323–335 (Springer, 2023).
Jamil, M. A., Khanam, S and Mudassir M. Minimal Redundancy Maximal Relevance (MRMR) Based Feature Ranking for Efficient Automated Fault Diagnosis of Rolling Element Bearing. in Recent Advances in Condition Monitoring, (Springer, 2025).
Jamil, M. A. & Khanam, S. and Mudassir M. Multi Sensor Fusion Based on Sound and Vibration Signals for Automated Fault Diagnosis of Rolling Element Bearing. in Lecture Notes in Mechanical Engineering, (Springer, 2025).
Mudassir M., Khanam, S and Jamil, M. A. Intelligent Fault Detection in Wind Turbine Using Spectral Estimation Methods. in Recent Advances in Condition Monitoring, (Springer, 2025).
- Conference Proceedings
Jamil, M. A., Zakariya, S. M., & Khanam, S., “Sound-Driven Bearing Fault Diagnosis via Scalogram-CNN Framework”, India International Symposium on Acoustics (IISA 2025), K-IIT College of Engineering, Gurugram, India, Oct. 30 – Nov. 1, 2025.
Jamil, M. A., Mudassir, M., & Khanam, S., “Multi Sensor Fusion Based on Sound and Vibration Signals for Automated Fault Diagnosis of Rolling Element Bearing”, 18th World Congress on Engineering Asset Management (WCEAM 2024), IIT Kanpur | New Delhi, India, Oct. 23–25, 2024.
Jamil, M. A., Khanam, S., & Mudassir, M., “Minimal Redundancy Maximal Relevance (MRMR) Based Feature Ranking for Efficient Automated Fault Diagnosis of Rolling Element Bearing”, National Conference on Condition Monitoring (NCCM-2024), VNIT, Nagpur, India, Oct. 4–5, 2024.
Jamil, M. A., Khan, M. A. A., & Khanam, S., “Intelligent Approach for Compound Fault Detection in Rolling Element Bearing Using Sound Signals”, NCCM-2023, NSTL & CMSI, Visakhapatnam, India, April 27–28, 2023.
Mudassir, M., Khanam, S., & Jamil, M. A., “Intelligent Fault Detection in Wind Turbine Using Spectral Estimation Methods”, NCCM-2024, VNIT, Nagpur, India, Oct. 4–5, 2024.
Khan, M. A. A., Jamil, M. A., & Khanam, S., “Intelligent Prediction of Multiple Defects in Rolling Element Bearing Using ANN Algorithm”, 5th Int. Conf. on Multimedia, Signal Processing and Communication Technologies (IMPACT-2022), AMU, Aligarh, India, Nov. 26–27, 2022.
Jamil, M. A., & Khanam, S., “Identifying Condition Indicators for Artificially Intelligent Fault Classification in Rolling Element Bearings”, XVI Int. Conf. on Vibration Engineering & Technology of Machinery, BMS College of Engineering, Bengaluru, India, Dec. 16–18, 2021.
Jamil, M. A., Khan, M. A. A., & Khanam, S., “Feature-based performance of SVM and KNN classifiers for diagnosis of rolling element bearing faults”, 53rd Int. JVE Online Conf., Colombo, Sri Lanka, Dec. 2, 2021.
Jamil, M. A., & Khanam, S., “Multi-Class Fault Classification of Rolling Element Bearing in Machine Learning Environment”, Int. Conf. on Condition Monitoring (ICCM-2021), Tata Steel Ltd. & CMSI, India, Jan. 21–22, 2021.
Jamil, M. A., Khan, M. F., & Khanam, S., “Significance of Locus of Defects and Sampling Rate on Artificially Intelligent Fault Detection in Ball Bearings”, Int. Conf. on Recent Advances in Engineering & Science (ICRAES-2020), AMU, Aligarh, India, Jan. 11–12, 2020.
Jamil, M. A., & Khanam, S., “Vibration Analysis of Rolling Element Bearings with Multiple Defects: A Review”, 13th Western Pacific Conf. on Acoustics (WESPAC-2018), CSIR-NPL, New Delhi, India, Nov. 11–15, 2018.
Jamil, M. A., Rahman, N., & Alam, M. N., “Relative Function of Piezoelectric Patches as Exciter/Actuator for Active Vibration Control: An Experimental Study”, Int. Mechanical Engineering Congress (IMEC-2014), NIT Trichy, India, June 13–15, 2014.
Jamil, M. A., Rahman, N., Alam, M. N., & Junaid, M., “Vibration Analysis and Signal Processing based on Virtual Instrumentation using LabVIEW”, Int. Conf. on Advancements in Mechanical Engineering, Al-Falah University, Faridabad, India, Aug. 7–8, 2014.
Junaid, M., Alam, M. N., & Rahman, N., Jamil, M. A., “Dynamic Analysis of Shallo w Composite Cylindrical Shell”, Int. Conf. on Advancements in Mechanical Engineering, Al-Falah University, Faridabad, India, Aug. 7–8, 2014.
Jamil, M. A., Alam, M. N., & Rahman, N., “Dynamic Analysis of Cantilever Beam using LabVIEW”, 2nd Int. Conf. on Recent Trends in Mechanical, Instrumentation and Thermal Engineering (MIT), Bangalore, India, Aug. 3–4, 2012.