报告题目：How Can Machine Learning Change Engineering?

报告时间：2023年11月10日（星期五） 下午14:30 - 17:00

报告地点：雁塔校区图书馆113会议室

报告人：孙建桥教授、博导（Professor and Chair, Ph.D., P.E., ASME Fellow 美国加州大学默塞德分校）

摘要：Researchers around the world are enthusiastically studying and adopting artificial intelligence and machine learning technologies.  Many research fields are being transformed in different ways.  This talk will focus on some traditional engineering subjects such as strength of materials, elasticity, engineering design and analysis, mechanical vibrations and so on.  In particular, we discuss what we can do with machine learning for engineering education and research in this time of fast changing due to advances in computer and communication technologies. We shall discuss the following questions without giving the audience affirmative answers.  It is hoped that this talk will motivate more people to learn various methods from the machine learning and artificial intelligence community and apply them to discovery new methods and solutions in engineering education and research.

1. What does machine learning really do?

2. Why do we call the method learning, not solving?

3. How do we define the intelligence?

4. How do we make the ML solution intelligent?

5. How to obtain solutions of engineering problems governed by differential equations without using the equations?

6. How will machine learning change our way of practicing engineering?

Finally, we report what have we done in dynamics and control, and discuss machine learning applications including delta robot control, random vibration analysis and optimal control using the radial basis function neural networks with Gaussian neurons.

报告人简介：Dr. Jian-Qiao Sun earned a BS degree in Solid Mechanics from Huazhong University of Science and Technology in Wuhan, China in 1982, a MS and a PhD in Mechanical Engineering from University of California at Berkeley in 1984 and 1988.  He worked for Lord Corporation at their Corporate R&D Center in Cary, North Carolina.  In 1994, Dr. Sun joined the faculty in the department of Mechanical Engineering at the University of Delaware as an Assistant Professor, was promoted to Associate Professor in 1998 and to Professor in 2003. He joined University of California at Merced in 2007, and served as the chair of the Department of Mechanical Engineering in School of Engineering in 2017-2021.  Besides many other editorial experiences, he is the Editor-in-Chief of International Journal of Dynamics and Control published by Springer.

His research interests include time-delayed dynamic systems, stochastic non-linear dynamics and control, cell mapping methods, multi-objective optimization, high-density piezoelectric energy harvesting from highway traffic, data-driven energy management of office building HVAC systems and machine learning applications to mechanical systems.