Jawad Ahmad
jawad ahmad

Dr Jawad Ahmad

Lecturer

 0131 455 3237

  J.Ahmad@napier.ac.uk

  

Biography

Dr Jawad Ahmad (SMIEEE) is a highly experienced teacher with a decade of teaching and research experience in prestigious institutes. He has taught at renowned institutions such as Â鶹ÉçÇø (UK) and Glasgow Caledonian University (UK) etc. He has also served as a supervisor for several PhD, MSc, and undergraduate students, providing guidance and support for their dissertations. He has published in renowned journals including IEEE Transactions, ACM Transactions, Elsevier and Springer with over 150 research papers and 4500 citations. For the past three years, his name has appeared on the list of the world's top 2% scientists in Cybersecurity, as published by Clarivate (a list endorsed by Stanford University, USA). Furthermore, in 2020, he was recognized as a Global Talent in the area of Cybersecurity by the Royal Academy of Engineering (UK). To date, he has secured research and funding grants totalling £195K. In terms of academic achievements, he has earned a Gold medal for his outstanding performance in MSc and a Bronze medal for his achievements in BSc.

School

Research Groups

Esteem

Conference Organising Activity

  • Best Paper Award.
  • Track Chair (Cyber Security Track).
  • Best Paper Award.
  • Session Chair (Artificial Intelligence and Data Science Track).

 

Editorial Activity

  • Guest Editor.

 

Fellowships and Awards

  • Gold Medal Award
  • Bronze Medal Award

 

Reviewing

  • Outstanding Contributions in Reviewing Award

 

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Date


154 results

Extracting Visual Micro-Doppler Signatures from Human Lips Motion Using UoG Radar Sensing Data for Hearing Aid Applications

Journal Article
Saeed, U., Shah, S. A., Ghadi, Y. Y., Khan, M. Z., Ahmad, J., Shah, S. I., Hameed, H., & Abbasi, Q. H. (2023)
Extracting Visual Micro-Doppler Signatures from Human Lips Motion Using UoG Radar Sensing Data for Hearing Aid Applications. IEEE Sensors Journal, 23(19), 22111-22118. https://doi.org/10.1109/jsen.2023.3308972
This study proposes a secure and effective lips-reading system that can accurately detect lips movements, even when face masks are worn. The system utilizes radio frequency (R...

SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data

Conference Proceeding
Shahbaz Khan, M., Ahmad, J., Ali, H., Pitropakis, N., Al-Dubai, A., Ghaleb, B., & Buchanan, W. J. (in press)
SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data.
With the advent of digital communication, securing digital images during transmission and storage has become a critical concern. The traditional s-box substitution methods oft...

A Comparison of Ensemble Learning for Intrusion Detection in Telemetry Data

Presentation / Conference Contribution
Naz, N., Khan, M. A., Khan, M. A., Khan, M. A., Jan, S. U., Shah, S. A., Arshad, Abbasi, Q. H., & Ahmad, J. (2022, October)
A Comparison of Ensemble Learning for Intrusion Detection in Telemetry Data. Presented at 3rd International Conference of Advanced Computing and Informatics, Casablanca, Morocco
The Internet of Things (IoT) is a grid of interconnected pre-programmed electronic devices to provide intelligent services for daily life tasks. However, the security of such ...

A Hybrid Deep Learning-based Intrusion Detection System for IoT Networks

Journal Article
Khan, N. W., Alshehri, M. S., Khan, M. A., Almakdi, S., Moradpoor, N., Alazeb, A., Ullah, S., Naz, N., & Ahmad, J. (2023)
A Hybrid Deep Learning-based Intrusion Detection System for IoT Networks. Mathematical Biosciences and Engineering, 20(8), 13491-13520. https://doi.org/10.3934/mbe.2023602
The Internet of Things (IoT) is a rapidly evolving technology with a wide range of potential applications, but the security of IoT networks remains a major concern. The existi...

Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants

Journal Article
Tahir, H., Shahbaz Khan, M., Ahmed, F., M. Albarrak, A., Noman Qasem, S., & Ahmad, J. (2023)
Prediction of the SARS-CoV-2 Derived T-Cell Epitopes’ Response Against COVID Variants. Computers, Materials & Continua, 75(2), 3517-3535. https://doi.org/10.32604/cmc.2023.035410
The COVID-19 outbreak began in December 2019 and was declared a global health emergency by the World Health Organization. The four most dominating variants are Beta, Gamma, De...

A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder

Journal Article
Ahmed, F., Rehman, M. U., Ahmad, J., Khan, M. S., Boulila, W., Srivastava, G., Lin, J. C.-W., & Buchanan, W. J. (2023)
A DNA Based Colour Image Encryption Scheme Using A Convolutional Autoencoder. ACM transactions on multimedia computing communications and applications, 19(3s), Article 128. https://doi.org/10.1145/3570165
With the advancement in technology, digital images can easily be transmitted and stored over the Internet. Encryption is used to avoid illegal interception of digital images. ...

The Mobile Attacks Under Internet of Things Networks

Presentation / Conference Contribution
Kean, C., Ghaleb, B., Mcclelland, B., Ahmad, J., Wadhaj, I., & Thomson, C. (2022, September)
The Mobile Attacks Under Internet of Things Networks. Presented at International Conference on Emerging Technologies and Intelligent Systems, Online
Since the introduction of the Routing Protocol for Low Power and Lossy Networks (RPL), its security aspects have been the focus of the scientific community who reported severa...

An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant

Journal Article
Jemmali, M., Bashir, A. K., Boulila, W., Melhim, L. K. B., Jhaveri, R. H., & Ahmad, J. (2023)
An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant. IEEE Transactions on Intelligent Transportation Systems, 24(12), 15633 - 15641. https://doi.org/10.1109/tits.2022.3219568
Nowadays, developing environmental solutions to ensure the preservation and sustainability of natural resources is one of the core research topics for providing a better life ...

Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things

Journal Article
Hasan, A., Khan, M. A., Shabir, B., Munir, A., Malik, A. W., Anwar, Z., & Ahmad, J. (2022)
Forensic Analysis of Blackhole Attack in Wireless Sensor Networks/Internet of Things. Applied Sciences, 12(22), Article 11442. https://doi.org/10.3390/app122211442
The internet of things (IoT) is prone to various types of denial of service (DoS) attacks due to their resource-constrained nature. Extensive research efforts have been dedica...

Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring

Journal Article
Ghadi, Y. Y., Alsuhibany, S. A., Ahmad, J., Kumar, H., Boulila, W., Alsaedi, M., …Bhatti, S. A. (2022)
Multi-Chaos-Based Lightweight Image Encryption-Compression for Secure Occupancy Monitoring. Journal of Healthcare Engineering, 2022, Article 7745132. https://doi.org/10.1155/2022/7745132
With the advancement of camera and wireless technologies, surveillance camera-based occupancy has received ample attention from the research community. However, camera-based o...

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