Afroz Ahmed
PhD Scholar
Indian Institute of Technology Delhi

PhD Status: Jan 2023 to Till date

Department/Centre: Centre for Automotive Research and Tribology

Supervisor: Prof. S. Fatima (CART, IIT Delhi)

Co-supervisor: Prof. B. K. Panigrahi (Electrical Engineering, IIT Delhi)

Research Area: Remaining Useful Life (RUL) Prediction of Bearings

Address: Block V-142/143, Automotive Health Monitoring Lab, CART, IIT Delhi

E-mail:

Educational Background

Master of Technology in Mechanical Engineering (Machine Design), ZHCET, AMU Aligarh, 2022.
Bachelor of Technology in Mechanical Engineering, Jamia Millia Islamia, New Delhi, 2018.

Publications

Conference Proceedings

Saad, A. A., Choudhary, A., Fatima, S., & Panigrahi, B. K. Monotonicity Score based Remaining Useful Life Prediction of Bearing using Gaussian Process Regression. in 3rd International Conference on Mechanical Engineering Ideas, Innovations & Initiatives (ICMEI3) 2024 Feb 24,25 (In Press).
Saad, A. A., Choudhary, A., Verma, A. K., Fatima, S., & Panigrahi, B. K. Estimating Remaining Useful Life through Transfer Learning using Convolutional Neural Network for Bearing. In 18th World Congress on Engineering Asset Management (WCEAM) 2024 Oct 23-25 (In Press).
Chaudhary, A., Saad, A.A., Mishra, R.K., Fatima, S., and Panigrahi, B.K., “Wavelet Neural Networks Based Diagnostic Strategy for Electric Vehicles: A Study on PMSM and BLDC Motors”,Iin 18th World Congress on
Engineering Asset Management (WCEAM 2024), New Delhi, India, 2024. (In Press)
Verma, A. K., Saad, A. A., Fatima, S., & Panigrahi, B. K. Light Weight Decision Tree-based Onboard Fault Diagnosis for Stator Winding Severity Evaluation. In 18th World Congress on Engineering Asset Management (WCEAM 2024), New Delhi, India, 2024. (In Press)
Verma, A. K., Saad, A. A., Choudhary, A., Fatima, S., & Panigrahi, B. K. (2024, September). Onboard fault diagnosis of incipient stator turn-turn failure for industrial machines. In 6th International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2024) (Vol. 13225, pp. 37-43). SPIE.
Saad, A. A., & Khanam, S. (2022, November). Classification of Bearing Faults using Discrete Wavelet Packet Analysis and Support Vector Machine. In 2022 5th International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT) (pp. 1-5). IEEE.

Book Chapter