Post February 28, 2024April 11, 2024by Thanaporn PengsornIn Students Activities News ICT Mahidol organized an “Orientation Session: 2024 Internship at University of Bremen, Germany”
Post February 28, 2024April 11, 2024by Thanaporn PengsornIn Alumni NewsStudents Activities News ICT Mahidol organized an Alumni Experience Sharing Session on the topic “The Leadership that People Need at Work”
Post February 23, 2024April 2, 2024by Thanaporn PengsornIn Activity News ICT Mahidol organized an online “Dhamma Listening: Goal of Life,” on the occasion of Makha Bucha Day
Post February 23, 2024March 11, 2024by Thanaporn PengsornIn Activity News ICT Mahidol hosted the “February Birthday Merit Making Ceremony” at the College of Religious Studies
Post February 21, 2024April 11, 2024by Thanaporn PengsornIn Students Activities News ICT Mahidol organized a special talk on “Case study of IT Entrepreneur”
Post February 21, 2024April 11, 2024by Thanaporn PengsornIn Students Activities News ICT Mahidol organized a special talk on “Software Quality Management”
Post February 21, 2024April 11, 2024by Thanaporn PengsornIn Students Activities News ICT Mahidol organized the event, “Communicative Thai for Beginners: A Lot Like Love,” for its international students
Post February 21, 2024April 11, 2024by Thanaporn PengsornIn Students Activities News ICT Mahidol organized the “The 2024 15th ICT Senior Project Annual Poster Exhibition and Conference (ICT SP-APEC 2024)”
Post February 21, 2024April 11, 2024by Thanaporn PengsornIn Students Activities News ICT Mahidol welcomed a delegate from the Japan Advanced Institute of Science and Technology (JAIST), Japan, on the occasion of his visit and organized a special talk on the topic “JAIST Scholarship Sharing Session”
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”
