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S. Fatima, PhD

Centre for Automotive Research and Tribology
Associate Professor
Indian Institute of Technology Delhi
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About

Dr. S. Fatima is an Associate Professor at CART, IIT Delhi. Her research is in the areas of machinery health monitoring, NVH, machinery and industrial noise control, acoustical natural materials, reliability and maintenance. Dr. Fatima holds a PhD and Master’s degree from the Indian Institute of Technology Kharagpur. She is a recipient of the DST inspire faculty award and the young professional award from the International Institute of Noise Control Engineering. She was a post-doctoral fellow at the Ray W. Herrick Laboratories of Purdue University, USA under the Schlumberger Foundation faculty for the future award before joining the Indian Institute of Technology Delhi.  She has wide experience in NVH, industrial noise control, machinery health monitoring and has received several international and national awards for her research in the areas of noise control.

About

Bio-Sketch

Experience

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Associate Professor (IIT Delhi, India), March 2023 to Till date

Assistant Professor (IIT Delhi, India), August 2018 to Feb 2023

DST Inspire Faculty (IIT Delhi, India), August 2015 to July 2018

Post Doc Fellow (Purdue University, USA), September 2014 to July 2015

 

Academic Background

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Ph.D. in Machinery Condition Monitoring (IIT Kharagpur, India), 2014

Master of Science in Mechanical Engineering (IIT Kharagpur, India), 2011

B.Tech in Manufacturing Technology (JSSATE-UPTU, Noida, India), 2008

 

Areas of Interest

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Machinery Health Monitoring

NVH

Machinery and Industrial Noise Control

Acoustical Natural Materials 

Reliability and Maintenance

 

Membership

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Life Member of the Condition Monitoring Society of India (LM 1700306)

Life Member of the Acoustical Society of  India (LM-932)

Life Member of the Indian Society of Mechanical Engineers (L-0426) 
 

Academic Recognition

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  1. International Institute of Noise Control Engineers-Young Professional Award, Inter-Noise 2016, Hamburg, Germany, 2016.

  2. DST Inspire Faculty Award 2015-2020.

  3. Schlumberger Foundation Faculty for the Future Award, 2014-2016.

  4. International Student Travel award at the 20th International Congress on Sound and Vibration (ICSV20), Bangkok, Thailand.  

  5. The topmost downloadable research article in Applied Acoustics for the year 2011.

  6. Article describing research on noise control by green materials published by M/s. Bruel & Kjaer in their WAVES 2013-2 issue.

  7. Article describing the research work on green materials published in Industrial Automation magazine, August 2013.

  8. Best research paper presentation award at National Symposium on Acoustics, Hyderabad (National Research Lab), November 26 to 29, 2009.

  9. Institute scholarship from MHRD (Government of India) for pursuing PhD at IIT Kharagpur 2011-2014.

  10. Scholarship and Certificate of Appreciation from JSS Academy of Technical Education for getting 1st rank in Uttar Pradesh Technical University in sixth and eighth semester 2006-08.

  11. Merit scholarship from Tauheedul Muslimeen Trust, India for consecutive three years (2005, 06, 07).  

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Bio-Sketch

Latest Publications

Google Scholar Link
  • Google Scholar
Journal Publications

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  1. Mishra, R. K., Choudhary, A., Fatima, S., Mohanty, A. R., & Panigrahi, B. K. (2025). A Systematic Review on Advancement and Challenges in Multi-fault Diagnosis of Rotating Machines. Engineering Applications of Artificial Intelligence, 156, 111306.

  2. Mishra, R. K., Choudhary, A., Fatima, S., Mohanty, A. R., & Panigrahi, B. K. (2025). Multi-fault Diagnosis with Wavelet Assisted Stacked Image Fusion and Dual Branch CNN. Applied Soft Computing, 176, 113183.

  3. Sunali, Mago, J., Negi, A., Pant, K. K., & Fatima, S. (2024). Utilization of spent graphite from lithium-ion batteries waste as sustainable reinforcing filler for thermal, vibration-damping, and noise control applications. Journal of Cleaner Production, 481, 144143. https://doi.org/10.1016/j.jclepro.2024.144143.

  4. Jaish, S., Mago, J., Negi, A., & Fatima, S. (2024). Vibration damping properties of natural rubber composites developed with waste carbonaceous fillers. The Journal of Acoustical Society of India, 51, 8–15.

  5. Negi, A., Mago, J., Sunali, Kumar, A. K., Ahmad, E., Haider, M. A., & Fatima, S. (2024). Effect of pretreatment on the sound absorption performance of cellulosic materials. The Journal of Acoustical Society of India, 51, 1–7.

  6. Mago, J., Sunali, Negi, A., & Fatima, S. (2024). Vibration damping and sound insulation behavior of recycled high-density polyethylene-aloe fiber composites. The Journal of Acoustical Society of India, 51, 16–26.

  7. Negi, A., Mago, J., Sunali, Kumar, A. K., Ahmad, E., Haider, M. A., & Fatima, S. (2024). Targeted functionalization of waste lignocellulosic biomass to produce sound absorbing materials. Waste and Biomass Valorization, 15(11), 6293–6307. https://doi.org/10.1007/s12649-024-02513-4

  8. Mishra, R. K., Choudhary, A., Fatima, S., Mohanty, A. R., & Panigrahi, B. K. (2024). A generalized method for diagnosing multi-faults in rotating machines using imbalance datasets of different sensor modalities. Engineering Applications of Artificial Intelligence, 132, 107973.

  9. Sunali, Mago, J., Negi, A., Pant, K. K., & Fatima, S. (2024). Acoustical, vibrational, and thermal investigations of pyrolytic carbon black reinforced natural rubber composites. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 238(8), 1407-1424. 

  10. Vats, B. N., Gupta, R., Gupta, A., Fatima, S., & Kumar, D. (2024). Graphite-Si@ TiO2 Core-Shell Nanoparticles as Composite Anode for Li-ion Batteries: Electrochemical Response. Journal of The Electrochemical Society, 171(1), 010523. 

Publications

Conference Proceedings

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  1. 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).

  2. Mishra, R. K., Fatima, S., & Mohanty, A. R. Development of Multi-fault Diagnosis Strategy of Rotating Machines using Deep Neural Networks. In World Congress on Engineering Asset Management 2024. (In Press)

  3. 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”, in 18th World Congress on Engineering Asset Management (WCEAM 2024), New Delhi, India, 2024. (In Press)

  4. 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)

  5. A. A. Saad, A. Chaudhary, S. Fatima, B. K. Panigrahi, “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)

  6. Sunali, Mago, J., Negi, A., & Fatima, S. Improving Vibration Damping of Mild Steel Using Un-Constrained Layer Damping Treatment with Butyl Rubber-Bamboo Biochar Composites. In 30th International Congress on Sound and Vibration (ICSV 2024), Amsterdam, Netherlands (pp. 1–8).

  7. Mago, J., Jaish, S., Negi, A., Bolton, J. S., & Fatima, S. (2024). Predicting sound transmission loss in particle-reinforced polymer composites using machine learning: A comparative study with experimental and theoretical results. The Journal of the Acoustical Society of America, 155(3_Supplement), A252-A252.

  8. Mago, J., Jaish, S., Negi, A., Bolton, J. S., & Fatim, S. (2024, July). Exploring the potential of recycled polypropylene-waste jute fiber composites for sound insulation: An experimental and theoretical analysis. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 269, No. 2, pp. 788-802). Institute of Noise Control Engineering.

  9. Mago, J., JAISH, S., NEGI, A., BOLTON, J. S., & FATIMA, S. (2024, October). Investigating the acoustic performance of sustainable composites utilizing recycled polypropylene and denim shoddy: fabrication, characterization, and theoretical Modelling. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 270, No. 7, pp. 4017-4028). Institute of Noise Control Engineering.

  10. Mishra, R. K., Fatima, S., & Mohanty, A. R. (2024, October). Multi-fault diagnosis of industrial rotating machines using advanced sliding window and WSST-CNN. In INTER-NOISE and NOISE-CON Congress and Conference Proceedings (Vol. 270, No. 7, pp. 4448-4458). Institute of Noise Control Engineering.

Courses

PG Courses

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CTL729: Automotive Reliability and Life Testing

CTL731: Automotive Noise and Condition Monitoring

ITL702: Diagnostic Maintenance and Condition Monitoring

ITL709: Maintenance Planning and Control 

ITL711: Reliability, Availability and Maintainability

MCL772: Reliability Engineering

 

UG Courses

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 NEN100/101: Professional Ethics and Social Responsibility

Courses
Books Chapters

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  1. Saad, A. A., Choudhary, A., Fatima, S., & Panigrahi, B. K. (2025). Feature Selection for Accurate Remaining Useful Life Prediction of Bearing Using Machine Learning. In Intelligent Machinery Fault Diagnostics and Prognostics (pp. 135-154). CRC Press.

  2. Mago, J., Sunali, Negi, A., Bolton, J. S., & Fatima, S. (2024). Sound Insulation: Key Concepts and Technologies. Handbook of Vibroacoustics, Noise and Harshness, 1-44.

  3. Negi, A., Jawed, M. A., Alam, M. I., Haider, M. A., Fatima, S., & Ahmad, E. (2023). 2 Technoeconomic evaluation and life cycle assessment of biorenewable route to produce high-value aromatics. Green Chemistry: Research and Connections to Climate Change, 10, 13.

  4. Raj, M., Fatima, S., & Tandon, N. (2021). Prediction of Acoustical Performance with and Without Airflow Resistivity of Fibrous Natural Materials. In Recent Developments in Acoustics: Select Proceedings of the 46th National Symposium on Acoustics (pp. 149-160). Springer Singapore.

  5. Fatima, S., Mohanty, A. R., & Naikan, V. N. A. (2014). Multiple fault classification using support vector machine in a machinery fault simulator. In Vibration Engineering and Technology of Machinery: Proceedings of VETOMAC X 2014, held at the University of Manchester, UK, September 9-11, 2014 (pp. 1021-1031). Cham: Springer International Publishing.

  6. Mohanty, A., & Fatima, S. (2015). Biocomposites for industrial noise control. Green biorenewable biocomposites from knowledge to industrial applications, 220-261.

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