Suphanat Kladsaard, Pakorn Wongaroon and Nachanon Krinchai, Mahidol Wittayanusorn School, group research project. External advisor, co-supervised with Dr. Sittichoke Som-am and Dr. Thawatchai Sudjai.
"Comparing IS-Net and BEN2 for YOLO-OBB Durian Disease Detection," full paper accepted for the 41st International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2026), Bangkok, Thailand, 7-10 July 2026. MWIT news
"Durian Leaf Disease Detection Using CNNs with Oriented Bounding Boxes on Drone-Simulated Imagery," Proceedings of the 30th Annual Meeting in Mathematics and Conference in Number Theory and Applications 2026, Khon Kaen University, Thailand, October 2026. Full text
"YOEDO: A Real-Time Mobile Application for Durian Leaf Disease Detection Using YOLO-OBB," preprint, ResearchGate, October 2026. ResearchGate
Mobile application: YOEDO (You Only Eat Durian Once), an offline real-time durian leaf disease detection app for Android. Google Play
Award: Best Presentation, MWIT Science Festival & Open House 2026, for the project on durian disease detection from durian leaves using oriented bounding box (OBB) convolutional neural networks on simulated UAV-view images. Announced 22 September 2026. MWIT news
Kunanon Khailoukum, Taptat Anantsuwanchai and Kongpop Raksatham, Mahidol Wittayanusorn School. Group research project. External advisor, co-supervised with Dr. Thawatchai Sudjai and Dr. Sittichoke Som-am.
"Quantifying and Correcting Temporal Leakage in Video-Derived Durian Detection and Counting Dataset," preprint, SSRN, posted 14 October 2026. SSRN