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MUHAMMAD AWAIS

 https://orcid.org/0000-0001-6421-9245

    Accepting PhD Students

    • 160 Citations
    • 7 h-Index
    20112020

    Research output per year

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    Personal profile

    Biography

    He is a Biomedical and Electrical Engineer working in the domain of data mining, internet of things, 5G/6g Communication Technologies, Industry 4.0, data analytics, signal processing, application based machine 1learning and deep learning to develop ICT (Information and communication Technologies) based systems for remote sensing, digital health and industry 4.0. He received the B.S. electronic engineering degree from Mohammad Ali Jinnah University, Pakistan, M.S. degree in electrical and electronic engineering from Universiti Teknologi PETRONAS, Malaysia and PhD in Biomedical, Electrical and System Engineering from University of Bologna, Italy. He previously worked as research fellow in University of Hull, UK; University of Leeds, UK and University of Bologna, Italy. He is member of Institute of Electrical and Electronic Engineers (IEEE), the IEEE Engineering in Medicine and Biology Society (EMBS). 

    Education/Academic qualification

    PhD Biomedical Electrical and System Engineering, PhD, University of Bologna

    1 Nov 2014 → 4 May 2018

    Award Date: 4 May 2018

    Electrical and Electronic Engineering, MRes, Universiti Teknologi Petronas

    11 Dec 2011 → 19 Aug 2014

    Award Date: 19 Oct 2014

    Electronic and Telecommunication Engineering , BSc, Mohammad Ali Jinnah University, Karachi, Pakistan

    20 Aug 2006 → 19 Aug 2019

    Award Date: 1 Dec 2010

    Other positions

    Research Fellow in Data Analytics and Machine Learning, University of Hull

    1 Nov 2019 → 20 Jul 2020

    Research Fellow in Signal Processing and Machine Learning, University of Leeds

    30 Sep 2018 → 30 Oct 2019

    Research Associate in Digital Health and AI, University of Bologna

    1 Nov 2017 → 31 Aug 2018

    Visiting Research Fellow, Norwegian University of Science and Technology

    1 Sep 2015 → 30 Nov 2015

    Junior Lecturer, Mohammad Ali Jinnah University, Karachi, Pakistan

    1 Sep 2010 → 30 Nov 2011

    Keywords

    • T Technology
    • Applied Machine Learning
    • Digital and Smart Health
    • Internet of Things
    • 5G/6G Communication
    • Industry 4.0

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    Research Output

    • 160 Citations
    • 7 h-Index
    • 12 Conference proceeding (ISBN)
    • 7 Article

    Impact of Feature Selection on Non-Technical Loss Detection

    Ghori, K. M., Rabeeh Ayaz, A., Awais, M., Imran, M., Ullah, A. & Szathmary, L., Mar 2020, Proceedings - 2020 6th Conference on Data Science and Machine Learning Applications, CDMA 2020. Institute of Electrical and Electronics Engineers Inc., p. 19-24 6 p. 9044241. (Proceedings - 2020 6th Conference on Data Science and Machine Learning Applications, CDMA 2020).

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN)

    • Performance Analysis of Different Types of Machine Learning Classifiers for Non-Technical Loss Detection

    AWAIS, MUHAMMAD., 27 Jan 2020, In : IEEE Access.

    Research output: Contribution to journal › Article

    Open Access
    File
    • 14 Downloads (Pure)

    Wireless E-Nose sensors to detect volatile organic gases through multivariate analysis

    Rahman, S., Alwadie, A. S., Irfan, M., Nawaz, R., Raza, M., Javed, E. & Awais, M., 30 Jun 2020, In : Micromachines. 11, 6, p. 597 1 p., 597.

    Research output: Contribution to journal › Article

    Open Access
    File
    • 1 Citation (Scopus)
    9 Downloads (Pure)

    A Condition Monitoring System for the Analysis of Bearing Distributed Faults

    Irfan, M., Saad, N., Ali, A., Vinoth Kumar, K., Aman Sheikh, M. & Awais, M., Oct 2019, 2019 IEEE 10th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019. Chakrabarti, S. & Saha, H. N. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 911-915 5 p. 8993006. (2019 IEEE 10th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN)

    • An internet of things based bed-egress alerting paradigm using wearable sensors in elderly care environment

    Awais, M., Raza, M., Ali, K., Ali, Z., Irfan, M., Chughtai, O., Khan, I., Kim, S. & Rehman, M. U., 1 Jun 2019, In : Sensors (Switzerland). 19, 11, 2498.

    Research output: Contribution to journal › Article

    Open Access
    File
    • 4 Citations (Scopus)
    5 Downloads (Pure)