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Edge Intelligence: Advanced Deep Transfer Learning for IoT Security presents a comprehensive exploration into the critical intersection of cybersecurity, edge computing, and deep… Read more
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JA
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.
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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).
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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.
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Dr. Mujeeb Ur Rehman holds a position as a Lecturer at De Montfort University's School of Computer Science and Informatics. His research focus during his Ph.D. was on Artificial Intelligence and Cybersecurity. Prior to his current position, Dr. Rehman served in the James Watt School of Engineering at the University of Glasgow, UK. With over ten years of experience, Dr. Rehman is an experienced educator with cutting-edge teaching and research expertise in AI, Machine Learning, Cybersecurity, and IoT, having worked in academic, research, and industry environments. He has taught numerous industry-relevant courses, including Artificial Intelligence, Machine Learning, Neural Networks, AI for Cybersecurity, Programming for Cybersecurity, Cryptography, Computer Systems, and Mathematics for Computing. As a supervisor, Dr. Rehman has overseen several dissertations from PhD, MSc, and undergraduate students, and his contribution to the research community includes co-authoring more than 30 research papers, published in leading international journals (IEEE and IET Transactions) and peer-reviewed international conference proceedings. In recognition of my contributions to the field of Artificial Intelligence and Cybersecurity, Dr. Rehman has been awarded the Global Talent status by the UK Research and Innovation Body and the Royal Academy of Engineering in 2022.
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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.