{"id":304,"date":"2020-08-28T10:10:43","date_gmt":"2020-08-28T17:10:43","guid":{"rendered":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/?page_id=304"},"modified":"2023-08-30T09:44:06","modified_gmt":"2023-08-30T16:44:06","slug":"schedule-2020","status":"publish","type":"page","link":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/schedule\/schedule-2020\/","title":{"rendered":"SCHEDULE 2020"},"content":{"rendered":"<table style=\"height: 427px\" width=\"1197\">\n<tbody>\n<tr style=\"color: #fff;font-weight: bold\" bgcolor=\"#0066b8\">\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">Time<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Presenter<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">Group<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Subject&nbsp;(Brief)<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">9:00<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Romero Moreira<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">SFU<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Simulation and optimization of flapping of <\/p>\n<p>flexible vertical axis wind turbine<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">9:20<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Sara Hosseinirad<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC (4)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">The closed-loop control of anesthesia<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">9:40<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Mahdi Mehrtash<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC (3)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">A new global solver for transmission expansion <\/p>\n<p>planning with AC network model<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">10:00<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Tianyu Tan<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UVic<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">On switched model predictive control<\/td>\n<\/tr>\n<tr style=\"color: #fff;font-weight: bold\" bgcolor=\"#0066b8\">\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">10:20 &#8211; 10:40<\/td>\n<td style=\"font-weight: 400;text-align: center\" colspan=\"3\" width=\"555\">Coffee&nbsp;break<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">10:40<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Riley Ballachay<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC (2)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Connecting deep and Bayesian learning: Identifying <\/p>\n<p>parameters with uncertainty for linear systems<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">11:00<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Wesley Romey<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">SFU<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Hybrid Kalman filtering-machine <\/p>\n<p>learning approach for fuel cells<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">11:20<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Nathan Lawrence<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC (2)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Reinforcement learning based PID tuning<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">11:40<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Yixiu Wang<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC (3)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Predicting battery cycle life with machine learning<\/td>\n<\/tr>\n<tr style=\"color: #fff;font-weight: bold\" bgcolor=\"#0066b8\">\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">12:00 &#8211; 14:00<\/td>\n<td style=\"font-weight: 400;text-align: center\" colspan=\"3\" width=\"555\">Lunch&nbsp;break<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">14:00<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Xin Jin<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UVic<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Event-triggered attitude synchronization of multiple <\/p>\n<p>rigid body systems with velocity-free measurements<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">14:20<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Yue Niu<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC (1)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Dynamic modeling of coronavirus in Canada<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">14:40<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Lee Rippon<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC&nbsp;(2)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Process data analytics and machine Learning <\/p>\n<p>for fault prediction: Application with an electric <\/p>\n<p>arc furnace &#8211; Part I<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">15:00<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Ibrahim Yousef<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC&nbsp;(2)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Process data analytics and machine Learning <\/p>\n<p>for fault prediction: Application with an electric <\/p>\n<p>arc furnace &#8211; Part II<\/td>\n<\/tr>\n<tr style=\"color: #fff;font-weight: bold\" bgcolor=\"#0066b8\">\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">15:20 &#8211; 15:40<\/td>\n<td style=\"font-weight: 400;text-align: center\" colspan=\"3\" width=\"555\">Coffee&nbsp;break<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">15:40<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Nicholas Kwan<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC (4)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Finding Nash equilibria in games<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">16:00<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Henglai Wei<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UVic<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Robust distributed model predictive platooning control <\/p>\n<p>for heterogeneous autonomous surface vehicles<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">16:20<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Jihoon Lim<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC&nbsp;(1)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">Feedforward and preview control of <\/p>\n<p>selective catalytic reduction systems<\/td>\n<\/tr>\n<tr>\n<td style=\"font-weight: 400;text-align: center\" width=\"214\">16:40<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"182\">Jacob Morrison<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"191\">UBC (1)<\/td>\n<td style=\"font-weight: 400;text-align: center\" width=\"602\">An intelligent grouping-based iterative learning <\/p>\n<p>approach to economic model predictive control<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>Time Presenter Group Subject&nbsp;(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 &#8230;<\/p>\n","protected":false},"author":10505,"featured_media":0,"parent":175,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-304","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/pages\/304","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/users\/10505"}],"replies":[{"embeddable":true,"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/comments?post=304"}],"version-history":[{"count":17,"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/pages\/304\/revisions"}],"predecessor-version":[{"id":579,"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/pages\/304\/revisions\/579"}],"up":[{"embeddable":true,"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/pages\/175"}],"wp:attachment":[{"href":"https:\/\/onlineacademiccommunity.uvic.ca\/bcscm\/wp-json\/wp\/v2\/media?parent=304"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}