Fowler Engineering Seminar Series Presents: Improving Scientific Computing for Engineering and Science

Speaker: Dr. Kai-Wen Tu

Abstract: For this talk, we will discuss the gradual updating of the introductory-level numerical computing in providing an early introduction of the elementary computing concept for application areas of growing importance in recent decades, such as parallel computing, image processing, signal processing, time series analysis, differential equation, neural network and classification. This is intended to nurture and broaden the computing interest of students from diverse disciplines early, as well as bridge the current gap in preparing them for specialized and advanced study in one or more of the above areas later on.

Bio: Dr. Kai-Wen Tu currently teaches part-time in the Math Department at Chapman University as an adjunct faculty. He previously held a position as Assistant Professor of Computer Science at Rutgers University. Past industrial position and affiliation included Research Mathematician, Sr Principal Engineer, Scientist, Project Manager in major aerospace, chemical, electronics, and energy companies (Boeing, Hughes, Merck, Occidental Petroleum, Raytheon, Rohm and Haas). He is published in numerical analysis journals, math and engineering conferences. He has also served as an IEEE-Computer Society reviewer and was a Corporate Adviser on MIT ASPEN Committee on Process Simulation. Dr. Kai-Wen Tu serves currently as a proposal reviewer for Hong Kong Research Grants Council in overseeing research funding for the universities in Hong Kong.