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Andy W. H. KHONG

Andy W. H. KHONG
 
Associate Professor 
Associate Chair (Students) 
Deputy Director (Delta-NTU Corp Lab) 
Garage@EEE (Lab coordinator)
School of Electrical and Electronic Engineering
 
Member IEEE
 
Office: +65 6790 6008
E-mail: andykhong@ntu.edu.sg
Website: www.ntu.edu.sg/home/andykhong

 

Biographical Profile

Andy Khong is currently an Assistant Professor in the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. Prior to that, he obtained his Ph.D. ('02-'05) from the Department of Electrical and Electronic Engineering, Imperial College London, after which he also served as a research associate ('05-'08) in the same department. He obtained his B.Eng. ('98-'02) in Nanyang Technological University in Singapore.
 
Andy’s research interest is in machine learning algorithms and he has applied his work for acoustic applications and more recently for education data mining applications. More specifically, his current research involves in the use of educational data mining and machine learning tools to assess a student’s non-cognitive competencies (motivation, resilience, self-efficacy) by analyzing how students interact with existing e-learning systems. The outcome of the research will facilitate individualized learning, track and manage each student’s progress so as to deepen an instructor’s understanding of why and how students learn better or worse, what could be done to guide or motivate them to learn.
 
Andy currently serves as an Associate Editor in the Journal of Multidimensional Systems and Signal Processing (Springer). He was a visiting professor at UIUC in 2012 under the Tan Chin Tuan Fellowship. He is the author and co-author of two papers awarded the "Best Student Paper Awards" and is a receipient of the Junior Chambers International "Ten Outstanding Young Persons Honouree Award 2011" and the Institute of Singapore "Prestigious Engineering Achievement Award 2012."
 
 
Research Interests
 
  • Machine learning techniques and algorithms
  • e-learning platforms
  • Non-cognitive competencies (motivation)
  • Human behavior for e-learning applications
  • Behavioural analytics
Research Interest in Machine Learning and Natural Language Processing for Learning Analytics
 
With the introduction of e-learning systems, educators are finding it increasingly more challenging to understand their students. A/P Khong’s research interest includes the use of machine learning technologies to map and classify the learning trajectories of online learning behaviour. Such online behaviour includes resource usage and/or actions performed as learners progress through online courses. His research the use of natural language processing technologies to classify and generate questions as well as to rate the quality of questions raised by learners.