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Personal profile
Academic Biography
Dr. Imran Bashir joined Teesside University as a lecturer in Instrumentations and Control. Before joining Teesside University, he has been working as a Postdoc research fellow for 6 years at the University of Bath, University of Southampton and the University of Exeter respectively. He has completed his PhD in Acoustics Metamaterials on an EU-FP7 funded project HOSANNA. Previously, he obtained MSc in Data communication and BEng (hons) in Electrical Engineering from the University of Sheffield UK and the COMSATS University Islamabad Pakistan.
Imran has worked on a number of research project in the area of Acoustics, Vibration and Condition Monitoring. Most recently at the University of Bath, he has been working on EU Horizon 2020 funded project: AdvancEd aicRaft-noIse-AlLeviation devIceS using meTamaterials (https://www.aerialist-project.eu/). The aim of this work is development of acoustic metamaterials to be applicable for aeronautical application. Previously, at the University of Southampton, Imran was involved on the development of Smart bearing system for Aero-Engine applications. At the University of Exeter, he has been working on the development of condition monitoring system for wave energy devices. During his PhD, his research work was focused on the development of Acoustics Metamaterials for traffic noise control (http://www.greener-cities.eu/). Imran’s research has been published in a form of peered reviewed journal publications, conference publications and book chapters.
Summary of Research Interests
Imran’s research interests include:
- Acoustics metamaterials and metasurfaces
- Aeroengine acoustics and vibration
- Condition monitoring
- Signal processing and Instrumentation
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Collaborations and top research areas from the last five years
Projects
- 1 Active
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To embed knowledge surrounding the Hydrogen production life-cycle to enable penetration of three new market opportunities
Russell, P. (PI), Razzaque, M. A. (CoI), Bashir, I. (CoI), Ahmad, F. (CoI), Suleman, H. (CoI) & Krishnan, V. V. (CoI)
1/04/24 → 30/09/26
Project: Research
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Autonomous fault detection and diagnosis for permanent magnet synchronous motors using combined variational mode decomposition, the Hilbert-Huang transform, and a convolutional neural network
El-Dalahmeh, M., Al-Greer, M., Bashir, I., El-Dalahmeh, M., Demirel, A. & Keysan, O., 1 Sept 2023, In: Computers and Electrical Engineering. 110, 22 p., 108894.Research output: Contribution to journal › Article › peer-review
Open AccessFile429 Downloads (Pure) -
Capacity estimation of lithium-ion batteries based on adaptive empirical wavelet transform and long short-term memory neural network
El-Dalahmeh, M., Al-Greer, M., El-Dalahmeh, M. & Bashir, I., 15 Oct 2023, In: Journal of Energy Storage. 70, 21 p., 108046.Research output: Contribution to journal › Article › peer-review
Open AccessFile60 Downloads (Pure) -
Design and development of integrated data acquisition system to replace power analyser for power quality measurement and analysis
Howkins, P., Bashir, I., Al-Greer, M., Pillai, G. & Short, M., 1 Nov 2023.Research output: Contribution to conference › Paper › peer-review
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Design and Development of Integrated Data Acquisition System to Replace Power Analyser for Power Quality Measurement and Analysis
Howkins, P., Bashir, I., Al-Greer, M., Pillai, G. & Short, M., 1 Nov 2023, 58th International Universities Power Engineering Conference, UPEC 2023. Institute of Electrical and Electronics Engineers Inc., p. 1-5 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Physics-Based Model Informed Smooth Particle Filter for Remaining Useful Life Prediction of Lithium-Ion Battery
El-Dalahmeh, M., Al-Greer, M., El-Dalahmeh, M. & Bashir, I., 15 Jun 2023, In: Measurement: Journal of the International Measurement Confederation. 214, 112838.Research output: Contribution to journal › Article › peer-review
Open Access