Distinguished Keynote Speakers
Prof. Faisal Saeed
Birmingham City University, UK
Keynote: AI-Powered Methods for Enhancing Cognitive Disability Support
Abstract
This keynote will explore the transformative potential of AI in addressing cognitive disabilities, focusing on the application of deep learning techniques for early detection and intervention. By leveraging advanced AI technologies, we can develop personalized, adaptive solutions that significantly improve the quality of life for individuals with cognitive challenges. Specifically, we will present how deep learning algorithms are being used to detect and diagnose conditions like autism, Alzheimer’s disease, and dementia at earlier stages. Through analyzing patterns in behavior, speech, and neural imaging, AI offers powerful tools for more accurate, timely diagnoses, as well as tailored treatment plans. This session will highlight cutting-edge research and real-world applications of AI for cognitive disability support.
Prof. Mohd Ibrahim Bin Shapia
Universiti Teknologi Malaysia
Keynote: AI on Cloud – An Application
Abstract
The presentation titled « » offers a practical exploration of artificial intelligence, spotlighting computer vision, 3D modeling, and generative AI. It kicks off with a historical review, spanning the early days of AI’s promise to the challenging « AI winters » marked by setbacks and technical constraints. However, the landscape has shifted significantly with the advent of deep learning, ushering in a new era of AI and the emergence of generative AI as a standout feature. Notably, Large Language Models like ChatGPT take center stage, showcasing their capacity to not only predict but also generate content. The presentation delves into the core principles of Large Language Models, elucidating how they can be tailored for various applications using embedding and fine-tuning methods. Beyond theory, the talk highlights concrete applications of AI in the cloud, encompassing tasks such as monitoring assets on tall structures, livestock counting, semiconductor defect detection, and the development of AI-driven chatbots for natural and engaging interactions. « AI on Cloud: An Application » delivers a holistic perspective on AI’s evolution, illustrating its wide-ranging impact across industries — from enhancing productivity to reshaping creativity and human-AI interactions. Looking ahead, the future of AI agents lies in the convergence of Large Language Models (LLMs) and Large Vision Models (LVMs), which will enable multimodal AI systems capable of understanding and generating across both language and visual inputs. These next-gen agents will go beyond static responses — they will reason, plan, and act autonomously in complex environments. Whether it’s in customer support, industrial automation, education, or healthcare, these intelligent agents are set to redefine digital assistance by becoming more context-aware, proactive, and seamlessly integrated into human workflows.
Prof. Azzedine Boukerche
School of Electrical Engineering and Computer Science, University of Ottawa, Canada
Keynote: Smart Internet of Drones for Sustainable Megacities
Abstract
Urban computing (UC) is an interdisciplinary field that seeks to improve people’s lives in urban areas. To achieve this objective, UC collects and analyzes data from several sources. In recent years, the Internet of Drones (IoD) has received significant attention from the academia community and has emerged as a potential data source for UC applications. The goal of this talk is to examine how IoD can connect and leverage UC in variety of applications which include: public safety and security, environment, traffic improvement, drone-assisted networks, just to mention a few. In this context, data acquired by IoD can fill gaps in data collected from other sources and provide new data for UC considering the aerial view of drones. Thus, we shall first introduce the relationship between the concepts of UC and IoD, and then discuss our proposed general framework considering the perspective of IoD for UC followed by design guidelines of the Internet of drones’ location privacy protocols. Last but not least, we shall discuss some key challenges in this emerging area.
