Faculty of Innovation Engineering Successfully kicked off 2025 Spring Interdisciplinary Science and Engineering Lecture Series

2025/04/15

On the occasion of the 25th Anniversary of the Macau University of Science and Technology, Faculty of Innovation Engineering kicked off the 2025 Spring Interdisciplinary Science and Engineering (ISE) lecture series where experts from different fields are invited to give talks of interdisciplinary topics and to share their insights and experiences. The first lecture of the ISE lecture series was held on the afternoon of March 21, 2025 at the MUST LIU’s Innovation and Technology Center.

The lecture was hosted by Chair Professor Zhang Du, Director of the School of Computer Science and Engineering, and attended by Professor Li Xiaodong, Assistant Dean (Outreach) of Faculty of Innovation Engineering, Professor Cai Zhanchuan and Professor Li Jianqing, Assistant Directors for School of Computer Science and Engineering, Professor Sookja Kim Chung from Faculty of Medicine, Associate Professor Lu Xiaoping, Program Director, Associate Professor Liang Yanyan, Associate Professor Yang Lei from School of Computer Science and Engineering, and Associate Professor Fan Xinxin, Associate Professor Wu Qiang and Assistant Professor Huang Chen from the State Key Laboratory of Quality Research in Chinese Medicines (SKL). In addition, close to sixty FIE graduate students and postdoctoral researchers attended the lecture and participated in the discussions afterwards.

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                                                                         Chair Professor Zhang Du was hosting the lecture 

The invited speaker was Chair Prof. Pan Yi, Dean of College of Computer Science and Control Engineering, Shenzhen Institute of Advanced Technology. Prof. Pan’s lecture was titled "DeepSeek: Large Models Empower Biomedical Applications". Starting with the current state of generative artificial intelligence and large language models (LLM), Prof. Pan discussed the basic principles and shortcomings of the latest LLMs such as ChatGPT and DeepSeek, along with their future improvements and development trends. While training LLMs in general can be a very expensive proposition, armed with domain specific knowledge, both training time and training data can be significantly reduced. This was demonstrated through a large language model knowledge vector library system Prof. Pan and his team developed for autism. In the lecture, Prof. Pan also introduced the use of AIGC in designing new drug molecules. By inputting numerous small drug molecules related to the treatment of a particular disease into the AIGC system, new drug molecules can be generated. Coupled with the powerful AI drug screening capabilities, the approach has the potential to design new drugs suitable for specific targets.

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                                                                             Chair Professor Pan Yi was delivering the lecture

The ISE lecture series, an important initiative by Faculty of Innovation Engineering to cultivate outstanding talents with innovative thinking and interdisciplinary research capabilities, covers a variety of fields, such as artificial intelligence, environmental engineering, materials science, biomedical engineering, and so forth. Through the lecture series, the Faculty of Innovation Engineering will continue to foster interdisciplinary research and integration, and to contribute to cultivating tomorrow’s leaders in science and engineering disciplines.

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                                                                                      Group photo of participants