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 Edinburgh Napier University (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

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


135 results

A Novel Secure Occupancy Monitoring Scheme Based on Multi-Chaos Mapping

Journal Article
Ahmad, J., Masood, F., Shah, S. A., Jamal, S. S., & Hussain, I. (2020)
A Novel Secure Occupancy Monitoring Scheme Based on Multi-Chaos Mapping. Symmetry, 12(3), https://doi.org/10.3390/sym12030350
Smart building control, managing queues for instant points of service, security systems, and customer support can benefit from the number of occupants information known as occ...

A Novel Hybrid Secure Image Encryption Based on Julia Set of Fractals and 3D Lorenz Chaotic Map

Journal Article
Masood, F., Ahmad, J., Shah, S. A., Jamal, S. S., & Hussain, I. (2020)
A Novel Hybrid Secure Image Encryption Based on Julia Set of Fractals and 3D Lorenz Chaotic Map. Entropy, 22(3), https://doi.org/10.3390/e22030274
Chaos-based encryption schemes have attracted many researchers around the world in the digital image security domain. Digital images can be secured using existing chaotic maps...

Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning

Conference Proceeding
Ilyas, M., Ahmad, J., Lawson, A., Khan, J. S., Tahir, A., Adeel, A., …Hussain, A. (2020)
Height Prediction for Growth Hormone Deficiency Treatment Planning Using Deep Learning. In Advances in Brain Inspired Cognitive Systems. , (76-85). https://doi.org/10.1007/978-3-030-39431-8_8
Prospective studies using longitudinal patient data can be used to help to predict responsiveness to Growth Hormone (GH) therapy and assess any suspected risks. In this paper,...

An authentication protocol based on chaos and zero knowledge proof

Journal Article
Major, W., Buchanan, W. J., & Ahmad, J. (2020)
An authentication protocol based on chaos and zero knowledge proof. Nonlinear Dynamics, 99, 3065-3087. https://doi.org/10.1007/s11071-020-05463-3
Port Knocking is a method for authenticating clients through a closed stance firewall, and authorising their requested actions, enabling severs to offer services to authentica...

WiFreeze: Multiresolution Scalograms for Freezing of Gait Detection in Parkinson's Leveraging 5G Spectrum with Deep Learning

Journal Article
Tahir, A., Ahmad, J., Shah, S. A., Morison, G., Skelton, D. A., Larijani, H., …Gibson, R. M. (2019)
WiFreeze: Multiresolution Scalograms for Freezing of Gait Detection in Parkinson's Leveraging 5G Spectrum with Deep Learning. Electronics, 8(12), https://doi.org/10.3390/electronics8121433
Freezing of Gait (FOG) is an episodic absence of forward movement in Parkinson's Disease (PD) patients and represents an onset of disabilities. FOG hinders daily activities an...

A Secure and Robust Image Hashing Scheme Using Gaussian Pyramids

Journal Article
Bashir, I., Ahmed, F., Ahmad, J., Boulila, W., & Alharbi, N. (2019)
A Secure and Robust Image Hashing Scheme Using Gaussian Pyramids. Entropy, 21(11), https://doi.org/10.3390/e21111132
Image hash is an alternative to cryptographic hash functions for checking integrity of digital images. Compared to cryptographic hash functions, an image hash or a Perceptual ...

A Novel Real-Time, Lightweight Chaotic-Encryption Scheme for Next-Generation Audio-Visual Hearing Aids

Journal Article
Adeel, A., Ahmad, J., Larijani, H., & Hussain, A. (2020)
A Novel Real-Time, Lightweight Chaotic-Encryption Scheme for Next-Generation Audio-Visual Hearing Aids. Cognitive Computation, 12, 589-601. https://doi.org/10.1007/s12559-019-09653-z
Next-generation audio-visual (AV) hearing aids stand as a major enabler to realize more intelligible audio. However, high data rate, low latency, low computational complexity,...

DNA key based visual chaotic image encryption

Journal Article
Khan, J. S., Ahmad, J., Ahmed, S. S., Siddiqa, H. A., Abbasi, S. F., & Kayhan, S. K. (2019)
DNA key based visual chaotic image encryption. Journal of Intelligent and Fuzzy Systems, 37(2), 2549-2561. https://doi.org/10.3233/jifs-182778
With the exponential growth of Internet technologies, digital information exchanged over the Internet is also significantly increased. In order to ensure the security of multi...

HRNN4F: Hybrid deep random neural network for multi-channel fall activity detection

Journal Article
Tahir, A., Ahmad, J., Morison, G., Larijani, H., Gibson, R. M., & Skelton, D. A. (2019)
HRNN4F: Hybrid deep random neural network for multi-channel fall activity detection. Probability in the Engineering and Informational Sciences, 1-14. https://doi.org/10.1017/s0269964819000317
Falls are a major health concern in older adults. Falls lead to mortality, immobility and high costs to social and health care services. Early detection and classification of ...

RNN-ABC: A New Swarm Optimization Based Technique for Anomaly Detection

Journal Article
Qureshi, A., Larijani, H., Mtetwa, N., Javed, A., & Ahmad, J. (2019)
RNN-ABC: A New Swarm Optimization Based Technique for Anomaly Detection. Computers, 8(3), https://doi.org/10.3390/computers8030059
The exponential growth of internet communications and increasing dependency of users upon software-based systems for most essential, everyday applications has raised the impor...

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