Prof. Teh Ying Wah, University of Malaya, Malaysia

As a highly accomplished computer scientist and data mining expert with over 35 years of experience, I have demonstrated exceptional leadership, expertise, and vision in the field. 

Over the course of my career, I have achieved numerous successes and made significant contributions to the industry. I began as an entry-level computer programmer in 1988 and advanced to become a Professor of Data Mining at the Faculty of Computer Science and Information Technology at the University of Malaya. I obtained my tertiary academic qualifications from Oklahoma City University and the University of Malaya, and I have published more than 90 academic papers in top-tier journals, including Information Fusion and the International Journal of Information Management. 

I have a remarkable H-index and number of citations in Web of Science, Scopus, and Google Scholars databases, and I have supervised numerous students at all levels of study. My areas of research include data warehouse, data mining, deep learning, IoT, activity recognition, wearable sensors, accelerometers, heart arrhythmia, electrocardiograph, supraventricular premature beat, multivariate time series, edge computing, task scheduling, data streams, mobile computing, speaker verification, language recognition, clustering algorithms, MapReduce, stock market, and sentiment analysis.

Prof. Salman A. AlQahtani

Dean of College of Computer and Information Sciences, King Saud University, Saudi Arabia

Experienced leader, consultant and a distinguished professor in Computer Science and Engineering with over 27 years of experience in academia, industry, and government. Recognized among the top 2% of scientists globally for pioneering contributions to network technologies, digital forensics, and emerging technologies. With over 300 peer-reviewed publications, expertise spans AI-driven business strategies, advanced wireless communication, next-generation networks, and digital transformation. A committed innovator in organizational leadership during disruptive times, driving research, industry collaboration, and policy development in network infrastructure, emerging technologies, and smart city initiatives.