Invited Speaker

The Future of Intelligent Digital Ecosystems: Scalable, Explainable, and Autonomous AI

Phuong Anh Nguyen (Cherry), Ph.D in Computer Science
Research Professor
Université du Québec, Canada


Abstract:
The rapid advancement of Artificial Intelligence (AI), coupled with Big Data, the Internet of Things (IoT), and cloud computing, is fundamentally transforming how organizations analyze data and make strategic decisions. Modern AI technologies enable intelligent systems to process large-scale heterogeneous data, identify hidden patterns, predict future trends, and generate autonomous recommendations that support complex decision-making processes across diverse application domains. This keynote presents recent advances in AI-driven decision support systems, highlighting how machine learning, deep learning, reinforcement learning, large language models (LLMs), optimization algorithms, and explainable AI (XAI) can be integrated into scalable cloud-based platforms for intelligent analytics. The discussion focuses on AI methodologies that convert massive volumes of structured and unstructured data into actionable knowledge, enabling predictive analytics, scenario simulation, risk assessment, resource optimization, and adaptive decision support. The presentation also explores the role of AI in developing next-generation intelligent systems capable of real-time learning, human-AI collaboration, and autonomous decision-making. Emerging technologies such as AI agents, multimodal foundation models, digital twins, federated learning, and edge intelligence are discussed as key enablers for future cyber-physical and data-driven ecosystems. Particular attention is given to the challenges of model transparency, trustworthiness, privacy preservation, and responsible AI deployment. Finally, the keynote outlines future research directions toward explainable, trustworthy, and autonomous AI systems that bridge theoretical advances with practical applications, paving the way for intelligent digital ecosystems across science, industry, and society.

Biography:
Dr. Phuong-Anh Nguyen is currently working at Université du Québec, Canada, where her research focuses on Artificial Intelligence (AI), Machine Learning, Computer Vision, and Health Informatics. She received both her M.Sc. and Ph.D. in France, specializing in intelligent systems, machine learning, and data-driven technologies.
Dr. Nguyen has authored numerous peer-reviewed journal articles and conference papers in artificial intelligence, computer vision, federated learning, wireless communications, and AI-enabled healthcare. Her research integrates advanced AI techniques with practical applications to develop intelligent, scalable, and trustworthy solutions for real-world challenges.
Her current research interests include artificial intelligence, machine learning, computer vision, multimodal learning, federated learning, large language models, medical image analysis, health informatics, and trustworthy AI. She has collaborated with researchers from academia and industry on interdisciplinary projects involving intelligent healthcare systems, smart environments, and data-centric AI applications. She has also served as a reviewer for leading international journals and conferences and has mentored students in AI and computer vision research.
Dr. Nguyen's research aims to bridge the gap between cutting-edge AI methodologies and practical applications, with a particular emphasis on developing reliable, efficient, and human-centered intelligent systems for healthcare and other data-intensive domains.