Hady W. Lauw
SMU School of Information Systems
Associate Professor
Director, BSc (Computer Science) Programme
NRF Fellow, Singapore National Research Foundation

Email: hadywlauw@smu.edu.sg
Online Presence: DBLP, Google Scholar, LinkedIn

Research Interests:

  • Web mining
  • Preference learning and recommender systems

Get Involved:

  • Ten reasons to join our Preferred.AI research group
  • If you are an undergraduate of any school at SMU, take the Computational Thinking course
  • If you are a postgraduate student interested in research, take the Machine Learning course
  • If you are finishing junior college, high school or polytechnic, apply to our Computer Science programme
  • If you are a data science professional, educator, or aspirant, take part in the activities of KDD.SG
What's New
2020-03-27: Paper accepted at the Reproducibility Track of ACM MM-20, titled “Reproducibility Companion Paper: Visual Sentiment Analysis for Review Images with Item-Oriented and User-Oriented CNN" 
2020-02-20: FoodRecce by Preferred.AI was featured in the Research@SMU newsletter https://research.smu.edu.sg/news/2020/feb/20/mobile-app-settle-group-meal-wrangles 
2020-02-13: Visited the Computer Science Department at New Mexico State University, USA. 
2020-02-07: Quoted by The SMU Blog on "Important Life Skills You Can Learn From Coding and Why Should Get Literate Even If You Aren’t a Techie" https://t.me/sgsmu/676 
2020-02-07: Attended AAAI-20 in New York City. 
2020-01-31: Careers Day keynote speaker at CHIJ St Nicholas Girls' School, "Thinking Computationally about Future Careers". 
2019-12-30: Invited as PC member for KDD'20 (Applied Data Science Track). 
2019-12-11: Visited Hanoi University of Science and Technology, talk titled “Representation Learning for Expressions of Preferences” 
2019-12-10: Visited VinAI Research in Hanoi, talk titled “Towards AI-Aided Decision Making: Preference Learning and Recommendations from Multimodal Data”. 
2019-12-09: VIsited VNU Hanoi, University of Engineering and Technology, talk titled “Preference Learning from Multimodal Data”. 
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Last updated in April 2020