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

Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions

Conference Proceeding
Sajjad, U., Arshad, Ahmad, J., & Shoaib, S. (2021)
Application of Artificial Neural Network in Predicting Flashover Behaviour of Outdoor Insulators under Polluted Conditions. In 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus). https://doi.org/10.1109/elconrus51938.2021.9396388
Safe and reliable delivery of power through transmission lines mainly depends on the quality condition of the high voltage insulators. In the last few decades, demand in polym...

A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things

Journal Article
Huma, Z. E., Latif, S., Ahmad, J., Idrees, Z., Ibrar, A., Zou, Z., …Baothman, F. (2021)
A Hybrid Deep Random Neural Network for Cyberattack Detection in the Industrial Internet of Things. IEEE Access, 9, 55595-55605. https://doi.org/10.1109/access.2021.3071766
The Industrial Internet of Things (IIoT) refers to the use of traditional Internet of Things (IoT) concepts in industrial sectors and applications. IIoT has several applicatio...

An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

Journal Article
Churcher, A., Ullah, R., Ahmad, J., Ur Rehman, S., Masood, F., Gogate, M., …Buchanan, W. J. (2021)
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks. Sensors, 21(2), Article 446. https://doi.org/10.3390/s21020446
In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices i...

Detecting the Security Level of Various Cryptosystems Using Machine Learning Models

Journal Article
Shafique, A., Ahmed, J., Boulila, W., Ghandorh, H., Ahmad, J., & Rehman, M. U. (2021)
Detecting the Security Level of Various Cryptosystems Using Machine Learning Models. IEEE Access, 9, 9383-9393. https://doi.org/10.1109/access.2020.3046528
With recent advancements in multimedia technologies, the security of digital data has become a critical issue. To overcome the vulnerabilities of current security protocols, r...

A blockchain-based architecture for secure and trustworthy operations in the industrial Internet of Things

Journal Article
Latif, S., Idrees, Z., Ahmad, J., Zheng, L., & Zou, Z. (2021)
A blockchain-based architecture for secure and trustworthy operations in the industrial Internet of Things. Journal of Industrial Information Integration, 21, https://doi.org/10.1016/j.jii.2020.100190
The industrial Internet of Things (IIoT) plays an important role in the industrial sector, where secure, scalable, and easily adopted technologies are being implemented for th...

Prediction of Critical Flashover Voltage of High Voltage Insulators Leveraging Bootstrap Neural Network

Journal Article
Niazi, M. T. K., Arshad, , Ahmad, J., Alqahtani, F., Baotham, F. A., & Abu-Amara, F. (2020)
Prediction of Critical Flashover Voltage of High Voltage Insulators Leveraging Bootstrap Neural Network. Electronics, 9(10), https://doi.org/10.3390/electronics9101620
Understanding the flashover performance of the outdoor high voltage insulator has been in the interest of many researchers recently. Various studies have been performed to inv...

EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network

Journal Article
Abbasi, S. F., Ahmad, J., Tahir, A., Awais, M., Chen, C., Irfan, M., …Chen, W. (2020)
EEG-Based Neonatal Sleep-Wake Classification Using Multilayer Perceptron Neural Network. IEEE Access, 8, 183025-183034. https://doi.org/10.1109/access.2020.3028182
Objective: Classification of sleep-wake states using multichannel electroencephalography (EEG) data that reliably work for neonates. Methods: A deep multilayer perceptron (MLP...

Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps

Journal Article
Shah, S. A., Ahmad, J., Masood, F., Shah, S. Y., Pervaiz, H., Taylor, W., …Abbasi, Q. H. (2021)
Privacy-Preserving Wandering Behavior Sensing in Dementia Patients Using Modified Logistic and Dynamic Newton Leipnik Maps. IEEE Sensors Journal, 21(3), 3669-3679. https://doi.org/10.1109/jsen.2020.3022564
The health status of an elderly person can be identified by examining the additive effects of aging along disease linked to it and can lead to the ’unstable incapacity’. This ...

DNA and Plaintext Dependent Chaotic Visual Selective Image Encryption

Journal Article
Khan, J. S., Boulila, W., Ahmad, J., Rubaiee, S., Rehman, A. U., Alroobaea, R., & Buchanan, W. J. (2020)
DNA and Plaintext Dependent Chaotic Visual Selective Image Encryption. IEEE Access, 8, 159732-159744. https://doi.org/10.1109/access.2020.3020917
Visual selective image encryption can both improve the efficiency of the image encryption algorithm and reduce the frequency and severity of attacks against data. In this artic...

Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique

Journal Article
Arshad, , Ahmad, J., Tahir, A., Stewart, B. G., & Nekahi, A. (2020)
Forecasting Flashover Parameters of Polymeric Insulators under Contaminated Conditions Using the Machine Learning Technique. Energies, 13(15), https://doi.org/10.3390/en13153889
There is a vital need to understand the flashover process of polymeric insulators for safe and reliable power system operation. This paper provides a rigorous investigation of...

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