Edge Intelligence

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.Shahid Latif received the B.Sc. and M.Sc. degrees in electrical engineering from HITEC University Taxila, Pakistan, in 2013 and 2018, respectively. He is currently pursuing the Ph.D. degree with the School of Information Science and Engineering, Fudan University, Shanghai, China. From 2015 to 2019, he served as a Lecturer with the Department of Electrical Engineering, HITEC University Taxila. During his Teaching Carrier, he has supervised several projects in the field of electronics, embedded systems, control systems, and the Internet of Things. He is currently working in the research area of cybersecurity of the Industrial Internet of Things (IIoT).Dr. Wadii Boulila received the B.Eng. degree (Hons.) in computer science from the Aviation School of Borj El Amri, in 2005, the M.Sc. degree in computer science from the National School of Computer Science (ENSI), University of Manouba, Tunisia, in 2007, and the Ph.D. degree in computer science jointly from ENSI and Telecom-Bretagne, University of Rennes 1, France, in 2012. He is currently an Associate Professor of computer science with Prince Sultan University, Saudi Arabia. He is also a Senior Researcher with the RIOTU Laboratory, Prince Sultan University; and the RIADI Laboratory, University of Manouba. Previously, he was a Senior Research Fellow with the ITI Department, University of Rennes 1. He has participated in numerous research and industrial-funded projects. His primary research interests include data science, computer vision, big data analytics, deep learning, cybersecurity, artificial intelligence, and uncertainty modeling. He is an ACM Member and a Senior Fellow of the Higher Education Academy (SFHEA), U.K. He received the Award of the Young Researcher in computer science in Tunisia for the year 2021 from Beit El-Hikma; the Award of Best Researcher from the University of Manouba, in 2021; and the Award of Most Cited Researcher at the University of Manouba, in 2022. He has served as the chair, a reviewer, and a TPC member for many leading international conferences and journals. Anis Koubaa is a Professor in Computer Science, Advisor to the Rector, and Leader of the Robotics and Internet of Things Research Lab, in Prince Sultan University. He is also R&D Consultant at Gaitech Robotics in China and Senior Researcher in CISTER/INESC TEC and ISEP-IPP, Porto, Portugal. He has been the Chair of the ACM Chapter in Saudi Arabia since 2014. He is also a Senior Fellow of the Higher Education Academy (HEA) in UK. He received several distinctions and awards including the Rector Research Award in 2010 at Al-Imam Mohamed bin Saud University, and the Rector Teaching Award in 2016 at Prince Sultan University. He is the Editor in Chief of the Robotics Software Engineering topic of the International Journal of Advanced Robotics Systems, Associate Editor in the Cyber-Physical Journal (Taylor & Francis). He is also the authors of six books with Springer on robots, sensor networks and Robot Operating Systems (ROS). He has been also actively participating in program committees of several international conferences including, ACM/IEEE International Conference on Cyber-Physical Systems, International Conference on Robotics Computing, European Conference on Wireless Sensor Networks, IEEE International Conference on Autonomous Robot Systems and Competitions, IEEE International Workshop on Factory Communication Systems. He is the author of more than 200 journal and conference publications, and one patent. He received several research grants as principal investigator, and he established research collaboration between Prince Sultan University and Gaitech Robotics for the development of robots and drones, and ROS. Dr Mujeeb Ur Rehman is an experienced academic with more than 10 years of teaching and research experience at prestigious institutions, including De Montfort University (UK), University of Glasgow (UK), and York St John University (UK), among others. He is recognised in the Stanford/Elsevier “World’s Top 2% Scientists” (2025). He is a Senior Fellow of the Higher Education Academy (SFHEA), a Senior Member of IEEE, and a Professional Member of BCS, he actively contributes to the academic and research community. He has supervised numerous PhD, MSc, and undergraduate students in their dissertations and has published over 50 research papers in leading international journals such as IEEE Transactions, IET Transactions, and Elsevier, as well as in peer-reviewed international conference proceedings. In 2022, he was endorsed as a Global Talent in Artificial Intelligence and Cyber Security by the Royal Academy of Engineering (UK). He has also received several best paper awards at international conferences. Academically, he earned a Gold Medal in his MS (Engineering) degree and a Distinction in his BS (Engineering) degree. In addition to his academic achievements, he is a member of the Talent Peer Review College at UKRI, and the National Institute for Health and Care Research (NIHR), where he evaluates funding applications and contributes to shaping research directions. Furthermore, he has successfully led and collaborated on multiple internationally funded research projects, securing over £1.5 million in competitive grants both within the UK and internationally. Dr. Imdad Ullah Khan is an Associate Professor of Computer Science at LUMS School of Science and Engineering, Pakistan. He completed his Ph.D. in Computer Science from Rutgers, the State University of New Jersey, where he had the good fortune of being advised by Endre Szemerédi. Dr. Khan also directs the Data Analysis Lab at LUMS. His research focuses on Algorithms, Graph and Social Network Analysis, Data Science, Machine Learning, and Bioinformatics.

• 1. Introduction to IoT and IIoT Security2. Fundamentals of Deep Learning and Transfer Learning3. Edge Computing: Architecture and Security4. Deep Transfer Learning for Intrusion and Anomaly Detection5. Resource-Efficient Models for Edge Devices6. Secure Communication and Privacy-Preserving Techniques in Edge Intelligence7. Case Studies and Industry Applications8. Future Trends and Emerging Technologies in IoT Security9. Developing and Implementing a Comprehensive IoT Security Strategy10. Conclusion

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