From f1770535d1a7b101e4f067255d0e8d6d2b8a6cc5 Mon Sep 17 00:00:00 2001 From: Shiveswarran Ratneswaran Date: Sat, 28 Oct 2023 15:54:30 +0530 Subject: [PATCH] color --- _pages/home.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/_pages/home.md b/_pages/home.md index a79706f..5eb4d99 100644 --- a/_pages/home.md +++ b/_pages/home.md @@ -13,7 +13,7 @@ code {padding: 6px 8px; font-size: 90%} # Welcome! -Welcome to my personal website. I am a research assistant at the DataSEARCH research center, Department of Computer Science and Engineering (CSE), University of Moratuwa. I have completed my Master's research degree at the Dept of CSE in the theme of intelligent transportation systems with a focus on improving public transportation service in Sri Lanka. My research encompasses predictive modelling of bus arrival times through advanced machine learning paradigms like spatio-temporal forecasting, meta-learning, ensemble learning and explainable AI . At present, my primary research emphasis lies on spatio-temporal data (e.g. GPS) processing and mathematical modelling of trajectories of bus trips. I am actively involved in exploring various modelling methods and improving the prediction accuracy and hence, reliability. Through my work, I endeavour to contribute to the enhancement of public transportation systems in my country. By utilising advanced machine learning techniques and computational methods, I strive to unearth new insights and potential applications of advanced machine learning techniques in spatio-temporal data, ultimately fostering a more reliable public transits. +Welcome to my personal website. I am a research assistant at the DataSEARCH research center, Department of Computer Science and Engineering (CSE), University of Moratuwa. I have completed my Master's research degree at the Dept of CSE in the theme of intelligent transportation systems with a focus on improving public transportation service in Sri Lanka. My research encompasses predictive modelling of bus arrival times through advanced machine learning paradigms like spatio-temporal forecasting, meta-learning, ensemble learning and explainable AI . At present, my primary research emphasis lies on spatio-temporal data (e.g. GPS) processing and mathematical modelling of trajectories of bus trips. I am actively involved in exploring various modelling methods and improving the prediction accuracy and hence, reliability. Through my work, I endeavour to contribute to the enhancement of public transportation systems in my country. By utilising advanced machine learning techniques and computational methods, I strive to unearth new insights and potential applications of advanced machine learning techniques in spatio-temporal data, ultimately fostering a more reliable public transits. \ No newline at end of file