Home > Meet our faculty > Prof. Matthew N. Dailey

Prof. Matthew N. Dailey

Position
Professor, Department Head ICT
Unit
Computer Science and Information Management
Contact Info
(662) 524 5712
mdailey@ait.ac.th
Media Links
Personal website
EDUCATIONAL BACKGROUND
RESEARCH INTERESTS
TEACHING
SELECTED PUBLICATIONS
AWARDS AND HONORS
PROFESSIONAL AFFILIATIONS
RESEARCH KEYWORDS
  • Ph.D. in Computer Science and Cognitive Science, University of California, San Diego, USA, 2002
  • M.S. in Computer Science, North Carolina State University, USA, 1995
  • B.S. in Computer Science, North Carolina State University, USA, 1992

My research interests lie in machine vision and learning, especially as applied to mobile robot perception and navigation. Robotics and intelligent systems together have the potential to revolutionize the way we live and work, keeping us safe, keeping us healthy, and eliminating dangerous and tedious tasks from our lives. But the main barrier to widespread use of inexpensive robots is that current systems lack crucial abilities to perceive and interact with the surrounding environment. In my work I aim to eliminate this barrier by combining statistical learning theory with computer vision and integrating the resulting technology into autonomous robot sensory and control systems. I am interested in a diverse set of potential applications, including landmine removal, security systems, agriculture, and mobility or health care for the elderly.

  • Introduction to Computers and Programming
  • Computer Systems Architecture
  • “Praxis” practical projects for first-years
  • Web Application Engineering
  • Object Oriented Analysis and Design
  • Software Architecture Design
  • Machine Vision for Robotics and Human Computer Interaction
  • O. Ouivirach, S. Gharti, and M.N. Dailey (2013), Incremental behavior modeling and suspicious activity detection, Pattern Recognition, 46(3): 671-680. 
  • F. Bukhari and M.N. Dailey (2013), Automatic radial distortion estimation from a single image, Journal of Mathematical Imaging and Vision, 45(1): 31-45. 
  • I. Ali and M.N. Dailey (2012), Multiple human tracking in high-density crowds, Image and Vision Computing, 30(12): 966-977. 
  • Iqbal, W., Dailey, M.N., Carrera, D., and Janecek, P. (2011), Adaptive resource provisioning for read intensive multi-tier applications in the cloud. Future Generation Computer Systems, 27(6): 871-879.
  • Ziauddin, S. and Dailey, M.N. (2010), Robust iris verification for key management. Pattern Recognition Letters, 31(9): 926-935.
  • Sopharak, A., Dailey, M.N., Uyyanonvara, B., Barman, S., Williamson, T., Thet Nwe, K., and Moe, Y.A. (2010), Machine learning approach to automatic exudate detection in retinal images from diabetic patients. Journal of Modern Optics, 57(2): 124-135.
  • Dailey, M.N., Joyce, C., Lyons, M.J., Kamachi, M., Ishi, H., Gyoba, J., and Cottrell, G.W. (2010), Evidence and a computational explanation of cultural differences in facial expression recognition. Emotion 10(6): 874-893.
  • Dailey, M.N., Cottrell, G.W., Padgett, C., & Adolphs, R. (2002), EMPATH: A neural network that categorizes facial expressions. Journal of Cognitive Neuroscience, 14(8):1158-1173.
  • Top-10 most-downloaded article in Neural Networks for 2003
  • Powell Fellowship, UCSD, 2001
  • ARCS Fellowship, UCSD, 1999
  • Computer Science Teaching Excellence Award, UCSD, 1998
  • Powell Fellowship, UCSD, 1996
  • IEEE Senior Member
  • IEEE Computer Society
  • IEEE Robotics and Automation Society
  • American Association for Artificial Intelligence (AAAI)
  • Thai Robotics Society (TRS)

Machine vision, machine learning, robotics, intelligent systems, cloud computing