Scholarly Service




Santi Phithakkitnukoon


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


I am 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 associate with MIT as a Research Affiliation 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 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


Dec 2020

+ My Scopus citation count has reached 1,000. It’d taken 13 years and 2 months from my first publication (Oct 2007) to reach this milestone.


Oct 2020

+ Our paper on Modeling Location Choice of Taxi Drivers for Passenger Pick-Up Using GPS Data has been accepted for publication with the IEEE Intelligent Transportation Systems Magazine (Impact Factor: 3.294, Scopus-Q1, ISI-Q2). It is a collaborative work with University of Calgary, University of Coimbra, and TU Delft.


May 2020

+ Our paper on Methods for Inferring Route Choice of Commuting Trip From Mobile Phone Network Data has been accepted for publication with the ISPRS International Journal of Geo-Information. It is a collaborative work with Orange Labs and MIT.


April 2020

+ Our paper on Visualizing Public Transit System Operation with GTFS Data: A case study of Calgary, Canada has been accepted for publication with the Heliyon journal. It is a collaborative work with University of Calgary and MIT.




Copyright (c) 2012 by Santi Phithakkitnukoon