Post November 26, 2024November 27, 2024by Anuwat PathummasutIn Staff Awards and Success ICT Mahidol won an honorable mention award for Oral Presentation at the Mahidol University Quality Fair 2024
Post November 14, 2024December 3, 2024by Anuwat PathummasutIn Staff Awards and Success ICT Mahidol instructors received the “National Research Award for Fiscal Year 2025” from the National Research Council of Thailand (NRCT)
Post October 22, 2024October 26, 2024by Thanaporn PengsornIn Staff Awards and Success ICT Mahidol’s collaborative research has been awarded the “2024 Transfer Prize” by the University of Bremen
Post October 6, 2024October 11, 2024by Thanaporn PengsornIn Staff Awards and Success ICT Mahidol instructor has been appointed as a Global Talent Professor under Mahidol University’s Global Talent Program
Post June 12, 2024June 12, 2024by Thanaporn PengsornIn Staff Awards and Success ICT Mahidol won 4 gold medals and 3 bronze medals in the 40th University Games of Thailand held at Chiang Mai University
Post April 20, 2024April 25, 2024by Thanaporn PengsornIn Staff Awards and Success ICT Mahidol instructor ranked No.1 Best Computer Science Scientist in Thailand, by Research.com
Post April 2, 2024April 4, 2024by Thanaporn PengsornIn Staff Awards and Success ICT Mahidol instructor has been appointed as “Adjunct Professor in Software Engineering” at Universitas Muhammadiyah Surakarta, Republic of Indonesia
Post March 15, 2024April 11, 2024by Anuwat PathummasutIn Staff Awards and Success ICT Mahidol won 12 Gold Medals, 4 Silver Medals, and 4 Bronze Medals from the “2024 MU Games”
Post March 2, 2024April 11, 2024by Thanaporn PengsornIn Staff Awards and Success ICT Mahidol’s instructors, staff, and alumni participated in the award presentation ceremony to receive the “Mahidol University Researcher of the Year 2024,” the “Outstanding Young Alumni Awards,” and the “Outstanding University Staff Awards”
Post February 20, 2024April 11, 2024by Thanaporn PengsornIn Staff Awards and Success ICT Mahidol research team has successfully registered the copyright for their two projects: “Automatic Classification of Mangosteens and Ripe Status in Images using Deep Learning-based Approaches, Multimedia Tools and Applications (MTAP),” and “Automatic Grade Assessment and Translucent Flesh Disorder Detection of Mangosteens from Capturing Images using Deep Learning and Image Processing-based Approaches”
