Dr. Shaidah Jusoh is an accomplished academic and researcher with over 20 years of international teaching experience across Malaysia, Canada, Saudi Arabia, and Jordan. She currently serves as an Assistant Professor at the School of Artificial Intelligence and Robotics, Xiamen University Malaysia, an overseas branch of Xiamen University, China. She is also an Associate Fellow at the Institute of Visual Informatics (IVI), National University of Malaysia, and contributes to the editorial board of the Intelligence & Robotic journal and the reviewer board for IJCSNS (International Journal of Computer Science & Network Security).

Dr. Shaidah has published more than 80 research articles in high-index journals and reputable international conferences, with a focus on natural language processing (NLP), intelligent systems, and human-computer interaction (HCI). She actively serves as an editor and reviewer for high-ranking journals, contributing to the advancement of scholarly standards and peer-reviewed research in her fields of expertise. Her research portfolio includes national and international collaborations with academic institutions and research groups across Asia, the Middle East, and North America. She has successfully supervised three PhD candidates and eleven Master's students, and has served as an external examiner for postgraduate theses (PhD and Master's theses).

Dr. Shaidah has held key academic leadership roles, including Head of the Computer Graphics Department at Princess Sumaya University for Technology in Jordan (2018–2020). She currently serves as the Internal Quality Chair for the Artificial Intelligence program at Xiamen University Malaysia, where she oversees academic standards and continuous improvement in alignment with the Malaysian Qualifications Framework (MQF) and the Malaysian Quality Assurance (MQA) agency. Her contributions extend to curriculum development, postgraduate supervision, final-year project supervision, internship coordination, and institutional quality assurance

Title : AI and Emerging Technologies

Abstract : Artificial Intelligence (AI) has emerged as a cornerstone of technological innovation, driving progress across diverse sectors. Among the most impactful domains are Natural Language Processing (NLP), Computer Vision, and AI in Service Interaction, which collectively enable machines to interpret human language, visual data, and service environments with increasing sophistication. NLP underpins applications such as sentiment analysis, conversational agents, and automated translation, while Computer Vision empowers systems to analyse images and videos for healthcare diagnostics, autonomous vehicles, and surveillance. Concurrently, AI in Service Interaction revolutionizes customer engagement, relationship management, and automated support through intelligent agents and personalized service delivery. Together, these technologies exemplify the convergence of AI with emerging fields, creating new paradigms of intelligent automation and multimodal interaction. While their potential to transform healthcare, education, finance, and security is immense, the rapid pace of development raises pressing concerns around ethics, governance, and equitable access. This talk discusses the role of NLP, Computer Vision, and AI in Service Interaction within the broader landscape of AI and emerging technologies.