Please note: This PhD seminar will be given online.
Petri
Varsa, PhD
candidate
David
R.
Cheriton
School
of
Computer
Science
Supervisor: Professor Gladimir Baranoski
The simulation of natural phenomena is an important topic of research with a wide variety of interdisciplinary applications. Many such applications rely on a high degree of fidelity, which in turn requires measured data be input to the system. However, challenges exist which hinder the data acquisition process, thus affecting fidelity. This seminar will discuss the various types of data required to reproduce natural phenomena via an in silico computer simulation framework. Challenges in obtaining the requisite data will be discussed, and tactics for overcoming these challenges will be presented.
To join this PhD seminar on Zoom, please go to https://us02web.zoom.us/j/84702125254?pwd=RXFCVkx3bTA5Z3g1dzJYVDZtTFlCZz09.