class: center, middle, inverse, title-slide # Zhipeng “Zippo” He ## Honours Student ### <a href="mailto:zhipeng.he@connect.qut.edu.au" class="email">zhipeng.he@connect.qut.edu.au</a> ### <p>School of Information Systems<br>Queensland University of Technology</p> ### 2021/10/01 --- # About me ### Undergraduate student @ JIT & QUT (2016 - 2020) Jinling Institute of Technology, China - Bachelor of Engineering in Software Engineering (2016 - 2020) Queensland University of Technology, Australia - Bachelor of Information Technology in Information Systems (2020) ### Honours student @ QUT (2021 - Now) - Investigating the Impact of Event Logs on Deep Learning-based Process Prediction Performance - Co-advised by <b>Dr. Chun Ouyang</b> and <b>Dr. Catarina Moreira</b> --- # My Research <figure> <img src="assets/img/DLworkflow.png" alt="DL-based PPA Architecture" style="width:100%"> <figcaption align = "center"><b>Fig.1: DL-based predictive process analytics workflow</b></figcaption> </figure> <span style="font-size:10px;">Neu, D.A., Lahann, J. & Fettke, P. A systematic literature review on state-of-the-art deep learning methods for process prediction. <em>Artif Intell Rev</em> (2021).</span> --- ## TL;DR ### Research Question #### **RQ1:** *Which characteristics of an event log may impact on process prediction model performance?* #### **RQ2:** *How the event log characteristics affect deep learning-based process prediction model performance?* ### My progress #### - Profiling and processing for BPIC event logs #### - Building an efficient and elegant benchmarking architecture for experiments