Scholarly Service




Santi Phithakkitnukoon


I am a Professor of Data Engineering and Head of the Department of Computer Engineering, Faculty of Engineering, at Chiang Mai University, Thailand. My research is in the area of Urban Informatics, which focuses on mining large-scale digital footprints such as mobile network data, GPS traces, social media data, and other sensory data to better understand human behavior and urban dynamics. My research interests thus lie at the intersection of Social Computing, Pervasive Computing, and Urban Computing.


Im originally from Chiang Mai, Thailand. I received my B.S.(hons) and M.S. both in Electrical Engineering in 2003 and 2005 respectively from the Southern Methodist University, Dallas, Texas, USA. I received a Ph.D. in Computer Science & Engineering from the University of North Texas, Denton, Texas, USA in 2009. I then joined the SENSEable City Laboratory at Massachusetts Institute of Technology (MIT) as a postdoctoral researcher until January 2011 and continue my association with the Lab as a research affiliate since. In 2011, I went to the United Kingdom (UK) and joined the Digital Interaction group at the Culture Lab (now Open Lab), Newcastle University as a research associate. Before coming to Chiang Mai University in June 2014, I was a Lecturer in Computing (assistant professor) at the Computing and Communications Department at The Open University, Milton Keynes, UK (October 2012 - July 2014).


For prospective students


+ If you are interested in doing a Ph.D. in Computer Engineering at Chiang Mai University under my supervision, please contact me to discuss a research proposal.

+ You should have a strong background in machine learning, data mining, and statistics.

+ You should be capable of programing with a high level language such as R or Matlab.

+ Please also read this for information about our Ph.D. program.



What*s new


Jun 2023

+ Our work on “inferring trips and origin-destination flows from Wi-Fi probe data” has been accepted for publication with IEEE Access. 


Dec 2022

+ My book on “Urban Informatics Using Mobile Network Data: Travel Behavior Research Perspectives” published with Springer is available to order on Amazon. It discusses the role of urban informatics in travel behavior research through a series of my research work over the last 10 years. 


Mar 2022

+ We’re pleased to share our latest publication in Elsevier Energy Journal on Interpretable Machine-Learning Model With a Collaborative Game Approach to Predict Yields and Higher Heating Value of Torrefied Biomass. It’s a collaboration between CMU’s computer engineering and mechanical engineering departments, and University of South Carolina’s department of chemical engineering.




Copyright (c) 2012 by Santi Phithakkitnukoon