IEEE VIC CIS DLP Talk on From Nature-inspired Computation to Machine Learning

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IEEE VIC CIS Chapter

22. Category: Distinguished Lecturer Program (DLP)

Title: From Nature-inspired Computation to Machine Learning
Speaker: Prof Xiaodong Li (IEEE Distinguished Speaker, IEEE Fellow), RMIT University, Melbourne, Australia
Location: RMIT University and Virtual (Zoom)
Time: 4.00 – 5.00 pm (AEDT) Thursday 20th November 2025 - refreshment starts at 3.45 pm
Register: https://events.vtools.ieee.org/m/503096 (please register here)
For further details, contact: Malka N. Halgamuge, Chair VIC CIS (malka_nisha@ieee.org)
VIC CIS Chapter website: https://r10.ieee.org/victorian-cis

  Date and Time

  Location

  Hosts

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  • RMIT University
  • Melbourne, Victoria
  • Australia
  • Building: 80
  • Room Number: 80.11.9
  • Contact Event Host

  • https://r10.ieee.org/victorian-cis/

  • Co-sponsored by IEEE VIC CIS Chapter; IEEE VIC Section
  • Starts 25 September 2025 02:00 PM UTC
  • Ends 20 November 2025 07:00 AM UTC
  • No Admission Charge

  Speakers

Prof Xiaodong Li of RMIT University, Melbourne, Australia

Topic:

From Nature-inspired Computation to Machine Learning

Title: From Nature-inspired Computation to Machine Learning

Abstract: Nature-inspired computation and machine learning are two research areas (in Artificial Intelligence) with rising popularity in the past two decades. In this presentation, I will talk about my research experience revolving around these two themes since my time doing PhD until more recently, spanning almost three decades. What started as curiosities and fascination of how nature does computation
have gradually evolved into research ideas for designing algorithms in tackling challenging optimization problems. I will touch on the following topics: particle swarm optimization, niching methods, large-scale optimization, preference modelling for multi-criteria decision making, hybridized methods such as meta-heuristics with mathematical programming, and machine learning for handling large-scale combinatorial optimization problems.

Biography:

Xiaodong Li is a Professor in Artificial Intelligence with the School of Computing Technologies, RMIT University, Melbourne, Australia. He holds a PhD in Artificial Intelligence (University of Otago, New Zealand). His research interests include machine learning, evolutionary computation, data mining/analytics, multiobjective optimization, multimodal optimization, large-scale optimization, combinatorial optimization, deep learning, math-heuristic methods, and swarm intelligence. He is the recipient of 2013 ACM “SIGEVO Impact Award” and 2017 IEEE CIS;IEEE Transactions on Evolutionary Computation Outstanding Paper Award;.

His h-index is 65, with a total number of citations 19000+ (according to Google Scholar). He is an IEEE Fellow, and an IEEE CIS Distinguished Lecturer (2024 -2026). He also serves as a member of ARC (Australian Research Council) College of Experts (2023 - 2026). In the past few years, he has dedicated most of his research effort in developing innovative Machine Learning techniques for solving large-scale combinatorial optimization problems.

 

 

Address:Melbourne, Victoria, Australia, 3000




F2F & Virtual =>

To join the meeting, please come to RMIT University or use the Zoom details in the description - refreshment starts at 3.45 pm.

Please do not hesitate to contact the host if you have any queries (Dr Malka N. Halgamuge, malka_nisha@ieee.org).