From April 27 to May 1, 2026, the Faculty of Information and Communication Technology, Mahidol University (ICT Mahidol), organized a series of training programs entitled “Unlocking Big Data with Text Mining and Generative AI” and “Building an Emotion-Reading AI from Voice: A Voice AI Workshop for the New-Generation Youth” for students from Mahidol Wittayanusorn School participating in the Thailand Talent Frontier Research (TTFR) Program. The training sessions were held in Rooms IT322 and IT333, 3rd floor, ICT Building, Mahidol University, Salaya Campus.
On this occasion, ICT Mahidol faculty members served as instructors, delivering both theoretical knowledge and practical experience in various areas of information technology, as outlined below:
- The session “Unlocking Big Data with Text Mining and Generative AI” was delivered by Assoc. Prof. Dr. Suppawong Tuarob, an instructor in the Computer Science Academic Group and Head of the Machine Intelligence and Knowledge Engineering (MIKE) Research Group, together with Asst. Prof. Dr. Thanapon Noraset, Deputy Dean for Academic Affairs. The session was designed to enhance participants’ capacity to ethically and lawfully collect and prepare Thai textual data from public sources in accordance with personal data protection regulations (PDPA), while introducing language modeling approaches ranging from classical machine learning techniques—such as Naive Bayes and Support Vector Machines (SVM)—to modern large language models (LLMs), including BERT and Gemini. The session also covered the development of advanced AI applications, including Retrieval-Augmented Generation (RAG)-based chatbots and agent-based systems capable of integrating with external tools. In addition, project-based learning was promoted, enabling students to develop innovative projects that apply big data analytics to address real-world societal challenges in a tangible manner.
- The session “Building an Emotion-Reading AI from Voice: A Voice AI Workshop for the New-Generation Youth” was delivered by Dr. Kanoksak Wattanachote, an instructor in the Computer Science Academic Group. The session aimed to lay the foundation for becoming a Voice AI Architect through the study of emotion recognition from speech, while developing participants’ skills in designing development pipelines—from audio processing and feature extraction to model training. The session also strengthened participants’ knowledge of standard AI tools, including Librosa, Scikit-learn, and TensorFlow, for developing functional prototypes with practical applications. In addition, innovation was encouraged through the development of Voice AI projects capable of producing tangible outcomes.
This training program aimed to enhance the potential of secondary school students with outstanding abilities in science, mathematics, and technology by providing them with opportunities to engage in advanced research processes while applying frontier technologies. The program is expected to inspire and further develop the potential of Thai youth, guiding them toward becoming a key driving force in advancing the nation through science, technology, and innovation in the future.
