The Data Science Discipline of the School of ITEE is hosting the following guest seminar:

Sparks between Data Analytics and Graphs

Speaker: Dr Shixun Huang (RMIT University)
Host:
 Dr Joel Mackenzie

Abstract: Graphs or networks are a natural way to represent complex data structures, and data analytics provides the techniques and tools to analyze and derive insights from these structures. The synergies, that exist between these two, allow businesses and organizations to analyze and derive insights from complex network data. In this talk, recent advances under multiple fields (i.e., data mining, viral marketing and urban computing) of graph analytics will be introduced. Topics covered by these advances include but are not limited: graph representation learning, clustering, influence maximization and path discovery.

Speaker Bio: Shixun is a research fellow at RMIT university and interested in problems at the cross-intersection of databases, machine learning, and theoretical computer science. Prior to that, he was a PhD student at RMIT where he won the Best PhD Thesis Award and RMIT's only nomination for the 2021 CORE Distinguished Dissertation Award. He has regularly published research papers on top international conferences (e.g., SIGMOD, VLDB, ICDE, KDD and WSDM), has served as a PC member of many conferences (e.g., KDD, WSDM, and CIKM) and serves as a PC co-chair of the Encore Track of Australasian Database Conference (ADC) 2023.

About Data Science Seminar

This seminar series is hosted by EECS Data Science.

Venue

Online via Zoom https://uqz.zoom.us/j/82896549343
Room: 
46-914