Projects per year
Personal profile
Academic Background
He is a Biomedical and Electrical Engineer working in the domain of data science/mining, AI, applied machine learning and deep learning and AI enabled internet of things (IOT), Industry 4.0, data analytics, signal processing to develop ICT (Information and communication Technologies) based systems for wearable computing, remote sensing, digital health and industry 4.0. Prior to joining UEA, Awais worked as a senior lecturer at the Edge Hill University, UK.
He previously worked as research fellow at EEI, University of Hull, UK; ICON, University of Leeds, UK; PHS, University of Bologna, Italy and visting fellow at GeMS, NTNU, Norway. He is member of Institute of Electrical and Electronic Engineers (IEEE), the IEEE Engineering in Medicine and Biology Society (EMBS).
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Finished
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AI enabled multi tier trust-management in Internet of Medical Things
Awais, M., De La Iglesia, B. & Shaikh, R. A.
1/04/24 → 31/07/24
Project: Research
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An implementation of multiscale line detection and mathematical morphology for efficient and precise blood vessel segmentation in fundus images
Shah, S. A. A., Shahzad, A., Alhussein, M., Goh, C. M., Aurangzeb, K., Tang, T. B. & Awais, M., 15 May 2024, In: Computers, Materials & Continua. 79, 2, p. 2565-2583 19 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Artificial intelligence and internet of things enabled intelligent framework for active and healthy living
Alsareii, S. A., Raza, M., Alamri, A. M., AlAsmari, M. Y., Irfan, M., Raza, H. & Awais, M., 31 Mar 2023, In: CMC-Computers Materials & Continua. 75, 2, p. 3833-3848 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)4 Downloads (Pure) -
A systematic and critical review on effective utilization of artificial intelligence for bio-diesel production techniques
Ahmad, J., Awais, M., Rashid, U., Ngamcharussrivichai, C., Naqvi, S. R. & Ali, I., 15 Apr 2023, In: Fuel. 338, 127379.Research output: Contribution to journal › Article › peer-review
27 Citations (Scopus) -
Deep learning based anomaly detection for fog-assisted IoVs network
Yaqoob, S., Hussain, A., Subhan, F., Pappalardo, G. & Awais, M., 28 Feb 2023, In: IEEE Access. 11, p. 19024-19038 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Citations (Scopus)6 Downloads (Pure) -
Machine-learning-enabled obesity level prediction through electronic health records
Alsareii, S. A., Awais, M., Alamri, A. M., AlAsmari, M. Y., Irfan, M., Raza, M. & Manzoor, U., 3 Apr 2023, In: Computer Systems Science and Engineering. 46, 3, p. 3715-3728 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure)