MET Lab

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Passionate Innovation Laboratory

PiLab Our research initially focuses on 3 core areas: 1) computer vision, 2) multimedia such as virtual reality, augmented reality, mixed reality, and 3) human behavior. These areas develop from the inspiration and motivation of various interests of the research team. Further research topics that derive from intrinsic passion are welcome and encouraged. With the rapid change of information technology, we strongly believe that the development of knowledge relies on self-motivation, self-passion and includes a variety within a specialized team. These are the vital mechanisms to drive innovation, new research, and new knowledge for the 21st century to interact with constant change effectively.
Lab member: Assist.Prof.Dr.Sirion Vittayakorn, Dr.Pornsuree Jamsri, Dr.Samart Moodleah

Interactive Media and Security Laboratory

iMSEC Lab The purpose of IMSEC Research Laboratory is to study and broaden knowledge on applications of interactive systems and security issues of information systems. The research scope covers topics related to design and application of interactive systems for online learning, a study of security and privacy issues of information systems and computer networks, and development of novel human-computer interaction. Current research projects include: use of blockchain technology in education, development of security techniques for Software Defined Networking (SDN), security in electronic examination systems, use of electronic pen for human-computer interaction (pen computing), improving UI/UX of Learning Management System (LMS).
Lab member: Assoc.Prof.Dr.Nopporn Chotikakamthorn, Assoc.Prof.Dr.Chanboon Sathitwiriyawong

Image Processing and Deep Learning

IPDL Lab Research areas of interest for this laboratory include still and moving image processing techniques for quality enhancement, object identification and recognition. Methods based on single and stereoscopic image inputs are under the scope of the investigation.
Lab member: Asst.Prof.Dr.Kuntpong Woraratpanya, Asst.Prof.Dr.Taravichet Titijaroonroj

Machine Intelligence and Vision Laboratory

MIV Lab The Machine Intelligence and Vision (MIV) laboratory focuses on interdisciplinary scientific research in addressing complex problems and major challenges of computational vision and artificial intelligence, particularly in the area of real-time scene understanding using advanced deep learning approaches. We are interested in applications for vision analytics, localization and mapping, navigation, biometric authentication, reinforcement learning, augmented reality, and decision support system.
Lab member: Asst.Prof.Dr.Somkiat Wangsiripitak