At 3 pm on October 30, 2024, the Faculty of Data Science of City University of Macau held an academic lecture titled "Exploring the Elegance Beyond Continuity" in HG01. This lecture invited Susanto Rahardja, an academician of the Singapore Academy of Engineering, as the speaker, and attracted more than 60 master's and doctoral students to participate. 

 

Professor Susanto Rahardja is an outstanding scholar in the field of electrical and electronic engineering. He holds a bachelor's degree from the National University of Singapore, a master's degree and a doctorate from Nanyang Technological University and completed the Stanford Executive Programme at Stanford University. He is currently a professor at the Singapore Institute of Technology. Prior to joining Singapore Institute of Technology, Professor Susanto served as professor at Nanyang Technological University, National University of Singapore and Northwestern Polytechnical University. His research interests include multimedia coding and processing, wireless communications, discrete transforms, machine learning, signal processing algorithms, implementation and optimization. Professor Susanto has more than 15 years of experience in leading research teams in the above fields, with team sizes as high as 600 people. He is currently an academician of the Singapore Academy of Engineering, an IEEE Fellow, a Fellow of the Asia-Pacific Artificial Intelligence Association, and a Fellow of the International Artificial Intelligence Industry Alliance. 

 

In the lecture, Professor Susanto deeply discussed the basic principles and various basic applications of discrete transformation, from data analysis and manipulation to compression, filtering and feature extraction, as well as the combination with artificial intelligence and machine learning. Discrete transforms include, for example, discrete Fourier transform, discrete cosine transform, and discrete wavelet transform, which are used in many fields. Professor Susanto also introduced the research progress of Hadamard transform and its variants. The atmosphere at the lecture was lively, with teachers and students participating actively, asking questions and engaging in in-depth exchanges and discussions with professors. Many students expressed strong interest in the efficient computing methods shared in the lecture and explored their potential applications in their own research directions. 

 

This lecture not only provided valuable academic guidance for teachers and students but also inspired students to think deeply about the application of data science. Through Professor Susanto Rahardja’s sharing, students realized the importance and potential of discrete transformation and its variants in fields such as data analysis, artificial intelligence and machine learning, which will prompt them to more actively explore these cutting-edge technologies in future research. The lively discussions and exchanges in the lectures gave the students a deep understanding of how to apply theory to practical problems, and they hope to use this knowledge to promote progress and innovation in industry.