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

Synchronization of Monostatic Radar Using a Time-Delayed Chaos-Based FM Waveform

Journal Article
Abd, M. H., Al-Suhail, G. A., Tahir, F. R., Ali Ali, A. M., Abbood, H. A., Dashtipour, K., …Ahmad, J. (2022)
Synchronization of Monostatic Radar Using a Time-Delayed Chaos-Based FM Waveform. Remote Sensing, 14(9), Article 1984. https://doi.org/10.3390/rs14091984
There is no doubt that chaotic systems are still attractive issues in various radar applications and communication systems. In this paper, we present a new 0.3 GHz mono-static...

A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map

Journal Article
Alharbi, A. R., Ahmad, J., Arshad, Shaukat, S., Masood, F., Ghadi, Y. Y., …Buchanan, W. J. (2022)
A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map. Complexity, 2022, Article 7047282. https://doi.org/10.1155/2022/7047282
With the increasing volume of data transmission through insecure communication channels, big data security has become one of the important concerns in the cybersecurity domain...

Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques

Journal Article
Khurshid, A., Mughal, M. A., Othman, A., Al-Hadhrami, T., Kumar, H., Khurshid, I., …Ahmad, J. (2022)
Optimal Pitch Angle Controller for DFIG-Based Wind Turbine System Using Computational Optimization Techniques. Electronics, 11(8), Article 1290. https://doi.org/10.3390/electronics11081290
With the advent of high-speed and parallel computing, the applicability of computational optimization in engineering problems has increased, with greater validation than conve...

A novel image encryption scheme based on Arnold cat map, Newton-Leipnik system and Logistic Gaussian map

Journal Article
Masood, F., Boulila, W., Alsaeedi, A., Khan, J. S., Ahmad, J., Khan, M. A., & Rehman, S. U. (2022)
A novel image encryption scheme based on Arnold cat map, Newton-Leipnik system and Logistic Gaussian map. Multimedia Tools and Applications, 81, 30931-30959. https://doi.org/10.1007/s11042-022-12844-w
In the existing literature, numerous chaos-based multimedia encryption schemes have been presented. Benefiting from inherent properties such as ergodicity and key-sensitivity;...

A federated learning framework for cyberattack detection in vehicular sensor networks

Journal Article
Driss, M., Almomani, I., e Huma, Z., & Ahmad, J. (2022)
A federated learning framework for cyberattack detection in vehicular sensor networks. Complex and Intelligent Systems, 8(5), 4221-4235. https://doi.org/10.1007/s40747-022-00705-w
Vehicular Sensor Networks (VSN) introduced a new paradigm for modern transportation systems by improving traffic management and comfort. However, the increasing adoption of sm...

A Smart and Robust Automatic Inspection of Printed Labels Using an Image Hashing Technique

Journal Article
Khan, M. A., Ahmed, F., Khan, M. D., Ahmad, J., Kumar, H., & Pitropakis, N. (2022)
A Smart and Robust Automatic Inspection of Printed Labels Using an Image Hashing Technique. Electronics, 11(6), Article 955. https://doi.org/10.3390/electronics11060955
This work is focused on the development of a smart and automatic inspection system for printed labels. This is a challenging problem to solve since the collected labels are ty...

Dynamic S-Box and PWLCM-Based Robust Watermarking Scheme

Journal Article
Sher Khan, J., Koç Kayhan, S., Siddiq Ahmed, S., Ahmad, J., Ayesha Siddiqa, H., Ahmed, F., …Al Dubai, A. (2022)
Dynamic S-Box and PWLCM-Based Robust Watermarking Scheme. Wireless Personal Communications, 125, 513-530. https://doi.org/10.1007/s11277-022-09562-9
Due to the increased number of cyberattacks, numerous researchers are motivated towards the design of such schemes that can hide digital information in a signal. Watermarking ...

Evolution towards Smart and Software-Defined Internet of Things

Journal Article
Abid, M. A., Afaqui, N., Khan, M. A., Akhtar, M. W., Malik, A. W., Munir, A., …Shabir, B. (2022)
Evolution towards Smart and Software-Defined Internet of Things. AI, 3(1), 100-123. https://doi.org/10.3390/ai3010007
The Internet of Things (IoT) is a mesh network of interconnected objects with unique identifiers that can transmit data and communicate with one another without the need for h...

Detecting Alzheimer’s Disease Using Machine Learning Methods

Conference Proceeding
Dashtipour, K., Taylor, W., Ansari, S., Zahid, A., Gogate, M., Ahmad, J., …Abbasi, Q. (2022)
Detecting Alzheimer’s Disease Using Machine Learning Methods. In Body Area Networks. Smart IoT and Big Data for Intelligent Health Management 16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings. https://doi.org/10.1007/978-3-030-95593-9_8
As the world is experiencing population growth, the portion of the older people, aged 65 and above, is also growing at a faster rate. As a result, the dementia with Alzheimer’...

Comparing the Performance of Different Classifiers for Posture Detection

Conference Proceeding
Suresh Kumar, S., Dashtipour, K., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., …Ahmad, W. (2022)
Comparing the Performance of Different Classifiers for Posture Detection. In Body Area Networks. Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2021 (210-218). https://doi.org/10.1007/978-3-030-95593-9_17
Human Posture Classification (HPC) is used in many fields such as human computer interfacing, security surveillance, rehabilitation, remote monitoring, and so on. This paper c...

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