Prof. Dr. Noor Zaman Jhanjhi
Taylor’s University, Malaysia
Prof. Dr. Noor Zaman Jhanjhi is a highly esteemed Senior Professor of Computer Science, specializing in Artificial Intelligence and Cybersecurity. He currently holds the position of Professor at the School of Computer Science at Taylor’s University, Malaysia, and serves as the Program Director for Postgraduate Research Degree Programmes as well as the Director of Research Center. With a career marked by academic leadership and groundbreaking research, Prof. Jhanjhi has been pivotal in advancing research and education in computer science. Recognized globally, Prof. Jhanjhi has been ranked among the world’s top 2% research scientists for three consecutive years (2022, 2023, and 2024). In Malaysia, he is ranked among the top three computer science researchers and was honored with the Outstanding Faculty Member award by MDEC Malaysia in 2022, as well as the Vice Chancellor’s Best Research Citations Award from Taylor’s University in 2023. His impressive academic portfolio includes over 70 research books edited or authored with prestigious publishers such as Springer, Elsevier, Taylor & Francis, Wiley, and IGI Global USA. His research has garnered more than 1000 points in impact factor, reflecting the depth and breadth of his contributions to the field. A dedicated mentor, Prof. Jhanjhi has supervised and co-supervised 38 postgraduate students to successful graduation and has served as an external examiner for over 60 Ph.D. and Master’s theses globally. In addition to his academic accomplishments, Prof. Jhanjhi holds Associate Editor and Editorial Board positions with several high-ranking journals, including PeerJ Computer Science, CMC Computers, Materials & Continua, and Frontiers in Communication and Networks. He was also recognized as an Outstanding Associate Editor for IEEE ACCESS. His contributions to research and innovation are further demonstrated by his successful management of over 40 internationally funded research grants. A sought-after keynote speaker, Prof. Jhanjhi has delivered over 70 invited talks at international conferences and has chaired numerous sessions. His commitment to academic excellence and accreditation extends to his involvement with ABET, NCAAA, and NCEAC over the past decade.
AI-powered cyber threats are rapidly evolving, challenging traditional security measures in an era driven by automation. With adversarial AI enhancing phishing, malware, and deepfake attacks, conventional defenses struggle to keep pace. Organizations must rethink security by integrating AI-driven threat detection, adaptive defense mechanisms, and continuous monitoring to counter these sophisticated risks. As cybercriminals leverage AI for automated exploitation, proactive security strategies, ethical AI deployment, and robust regulatory frameworks become essential to safeguarding digital infrastructure.
Dr. Zag ElSayed
University of Cincinnati
Dr. Zag ElSayed was born in Odessa; he is a computer engineering scientist specializing in Brain Machine Interface, Artificial Intelligence, Machine Learning, VLSI Design, Cybersecurity, I2oT as well as IoE. He received his B.Sc. and M.Sc. with Distinction degree of Honor from Alexandria University in 2005, where he implemented the earliest framework architecture for Industrial Internet of Things (IoT) implementation. Zag got his second M.Sc. and Ph.D. in Computer Engineering from the University of Louisiana at Lafayette in 2016. Currently, Zag is an assistant professor at the School of Information Technology at the University of Cincinnati, Ohio. Zag is also an active consultant on IT automation for industrial companies in Louisiana, Oklahoma, and Texas. He worked as a research engineer in Africa, Europe, and the USA. Since 2014, he has been a system designer, automation architect, and developer for leading oil and gas research companies. He is fluent in nine languages, a nationally recognized painting artist, and a registered Red Cross ERV volunteer. Zag believes the key to understanding the Universe is ciphered in the human brain. His talk was given at a TEDx event, https://youtu.be/BvYRSQNZ67c.
A fundamental frontier of discovery is revealed by the complex interactions between brain patterns, learning processes, and Brain-Computer Interfaces (BCI) in the quickly changing fields of neuroscience and technology. The term "NeuralDNA" is used in this speech to describe the dynamic blending of adaptive learning, spatial cognition, and the neural impulses that power BCI devices. Deciphering the cerebral architecture that supports human cognitive processes and its smooth integration with artificial systems, the speech will set off on an engrossing trip. It will look at how the brain's spatial representations affect motor control and decision-making, setting the stage for more natural and flexible BCIs.
The session will explore learning as a changing neurological process and show how machine learning models may be informed by decoding brain activity, expanding the possibilities for human-computer collaboration. During the keynote, innovative applications in mental health, assistive technology, and cognitive improvement will be highlighted, ranging from deciphering intricate brain signals to allowing real-time adaptive systems. The ethical and philosophical ramifications of combining artificial intelligence with human cognition will also be examined, making sure that this advancement benefits mankind fairly as well as case study of learning capability enhancement work.
By uncovering the "hidden mix" of cells, learning, and BCI, this keynote challenges us to rethink the essence of intelligence and the limitless possibilities that emerge when biology and engineering converge. Join us to explore the future of neural integration, where the human brain and technology coalesce to redefine learning, cognition, and interaction in the modern world.