Time Presenter Group Subject (Brief)
9:00 Romero Moreira SFU Simulation and optimization of flapping of

flexible vertical axis wind turbine

9:20 Sara Hosseinirad UBC (4) The closed-loop control of anesthesia
9:40 Mahdi Mehrtash UBC (3) A new global solver for transmission expansion

planning with AC network model

10:00 Tianyu Tan UVic On switched model predictive control
10:20 – 10:40 Coffee break
10:40 Riley Ballachay UBC (2) Connecting deep and Bayesian learning: Identifying

parameters with uncertainty for linear systems

11:00 Wesley Romey SFU Hybrid Kalman filtering-machine

learning approach for fuel cells

11:20 Nathan Lawrence UBC (2) Reinforcement learning based PID tuning
11:40 Yixiu Wang UBC (3) Predicting battery cycle life with machine learning
12:00 – 14:00 Lunch break
14:00 Xin Jin UVic Event-triggered attitude synchronization of multiple

rigid body systems with velocity-free measurements

14:20 Yue Niu UBC (1) Dynamic modeling of coronavirus in Canada
14:40 Lee Rippon UBC (2) Process data analytics and machine Learning

for fault prediction: Application with an electric

arc furnace – Part I

15:00 Ibrahim Yousef UBC (2) Process data analytics and machine Learning

for fault prediction: Application with an electric

arc furnace – Part II

15:20 – 15:40 Coffee break
15:40 Nicholas Kwan UBC (4) Finding Nash equilibria in games
16:00 Henglai Wei UVic Robust distributed model predictive platooning control

for heterogeneous autonomous surface vehicles

16:20 Jihoon Lim UBC (1) Feedforward and preview control of

selective catalytic reduction systems

16:40 Jacob Morrison UBC (1) An intelligent grouping-based iterative learning

approach to economic model predictive control