Sichen Zhao
PhD candidate at RMIT University
My Story
I am currently a PhD candidate at RMIT University under the supervision of A/Prof. Flora Salim, Dr Jeffrey Chan and Dr Wei Shao. My research interests include Spatiotemporal Data Mining, Deep Learning of Big Trajectory Data, Interpretable Machine Learning.
Academic Experience
Learning and Living
PhD Candidate, RMIT University
August 2019 - Present
This is a completely new stage for me. I can explore some of the most profound areas and state-of-the-art technologies with the help of my supervisors and colleagues.
Master of Information Technology, The University of Melbourne
July 2017 - July 2019
I received a comprehensive education of information technology and related topic such as data mining, AI.
Bachelor of Engineering, Zhejiang University
September 2012 - June 2017
I got a bachelor degree majoring in Automation. Meanwhile, I found out that I'm interested in Computer Science stuff and started learning some programming languages.
Publications
Zhao, S., Shao, W., & Zhu, H. (2019). The Intelligent Decision of Flights Adjusting Rule-based flight scheduling optimization. WSDM Cup 2019, the 12th ACM International Conference on Web Search and Data Mining.
Shao, W., Zhao, S., Tan, S., Prabowo, A., Salim, F., Koniusz, P., Chan, J., & Hei, X. (2019). Flight Delay Prediction using Airport Situational Awareness Map. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases.
Shao, W., Tan, S., Zhao, S., & Hei, X. (2019). Incorporating Probability Estimation Model in Optimization Methods to Solve Travelling Officer Patrolling Problem. ACM Transactions on Spatial Algorithms and Systems (TSAS) - Under review
Awards
RMIT Research Stipend Scholarship
2019 - Present
Dean’s Honours List 2018
This prize is issued by the Melbourne School pf Engineering, The University of Melbourne to the top 5% students in recognition of their academic excellence.
The FUELHACK Hackathon Winner 1st place
FuelHack is a hackathon to apply technology and new solutions to solve either Reduce fuel usage across the Linfox fleet or Reduce emissions and carbon footprint generated by Linfox vehicles via reduction of fuel usage. We present an online routing solution which combine machine learning techniques and the latest researches on the car fuel efficiency.
The 12th WSDM Cup Honorable Mention 3rd place
WSDM Cup is a data mining/ machine learning competition held by the ACM International Conference on Web Search and Data Mining. In this contest, we use the data from Sichuan Airline to build an AI platform that can optimize the flight schedule once some emergency event happens.
"It does not matter how slowly you go as long as you do not stop"