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Jawwad Latif

Dr, Mr

20182020

Research output per year

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Personal profile

Academic Biography

Jawwad Latif joined Healthcare Innovation Centre at Teesside University/TWI Cambridge as a Research Associate. His current project is the development of Artificial Intelligence based iChair to improve quality of life for elder people.

Jawwad obtained his Ph.D. Degree from Bournemouth University, UK with a thesis titled ‘Ulterius Corrosion Health Monitoring (UCHM) using wireless sensor technologies’. His research was based on a multidisciplinary research approach to provide solutions to anticipate the condition of a metal structure in terms of corrosion damage and coating failure for proactive and optimal Condition-Based--Maintenance (CBM) decisions.

Jawwad holds a Master’s degree in Computer Engineering from University of Engineering and Technology, Taxila. His Master’s research project includes simulation analysis of various router architectures in Network-on-Chip (NoC) Technology. Jawwad holds Bachelor’s in Computer Engineering from COMSATS, Islamabad. He developed various projects with automation industry.

Jawwad has experience of working on multidisciplinary research projects which resulted in  high-ranked journal and conference publications. He has extensive expertise in development including sensors interfacing, hardware and software programming.

Summary of Research Interests

Jawwad research interest lies in the following areas:

  • Healthcare applications based on Artificial Intelligence algorithms (neural networks, machine learning)
  • Structural monitoring systems of large metal structures in terms of corrosion and coating failures
  • Router architectures within Network-On-Chip technology

Education/Academic qualification

PhD, Bournemouth University

25 Jan 201624 Jan 2019

Award Date: 26 Apr 2019

Bachelor, COMSATS Institute of Information Technology

20082012

Award Date: 15 Mar 2012

Master, University of Engineering and Technology, Taxila

20122014

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Research Output

Structural monitoring system for proactive detection of corrosion and coating failure

Latif, J., Khan, Z. A. & Stokes, K., 1 Jan 2020, In : Sensors and Actuators, A: Physical. 301, 111693.

Research output: Contribution to journalArticle

Open Access
  • An optimal condition based maintenance scheduling for metal structures based on a multidisciplinary research approach

    Latif, J., Khan, Z. A., Nazir, M. H., Stokes, K. & Smith, R., 3 Jun 2019, In : Structure and Infrastructure Engineering. 15, 10, p. 1366-1381 16 p.

    Research output: Contribution to journalArticle

    Open Access
  • Condition monitoring and predictive modelling of coating delamination applied to remote stationary and mobile assets

    Latif, J., Khan, Z. A., Nazir, M. H., Stokes, K. & Plummer, J., 12 Jun 2018, In : Structural Health Monitoring. 18, 4, p. 1056-1073

    Research output: Contribution to journalArticle

    Open Access
    File
  • 126 Downloads (Pure)

    Life assessment prognostic modelling for multi-layered coating systems using a multidisciplinary approach

    Latif, J., Khan, Z. A., Nazir, M. H., Stokes, K. & Plummer, J., 13 Apr 2018, In : Materials Science and Technology. 34, 6, p. 664-678 15 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 109 Downloads (Pure)

    Predictive and prognostic modelling and simulation of coatings subject to corrosion and mechanical failures

    Khan, Z. A., Latif, J., Nazir, H., Saeed, A. & Stokes, K., 2018, In : International Journal of Computational Methods and Experimental Measurements. 6, 3, p. 487-498 11 p.

    Research output: Contribution to journalArticle

    Open Access