Moch. Nasheh Annafii
Digital Twin | Machine Learning | Artificial Intelligence | Researcher
I’m Moch. Nasheh Annafii, a PhD candidate in Informatics, researcher, and system developer focused on Digital Twin, machine learning, and computer vision. My research develops human digital twin frameworks—integrating geometric modeling, physical simulation, and data-driven AI—with applications in healthcare monitoring and system intelligence. I also engineer vision-based systems for real-world problems, such as agricultural disease detection using optimized deep learning models.
With an M.Kom. in Informatics from Universitas Darussalam Gontor (UAD) and a S.Kom. in Informatics from UNIDA, I combine academic rigor with practical development experience—building web/mobile applications, cloud integrations, and data-driven workflows.
Currently, I contribute to research and projects that advance AI-driven modeling and digital twin technologies.
News
| Nov 30, 2022 | Presented at Prosiding Sains Nasional dan Teknologi (Unwahas) with paper: “Segmentasi Semantik pada Citra Hama Leafblast Menggunakan Unet dan Optimasi Hyperband”. |
|---|---|
| Nov 22, 2022 | Presented at 2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) with paper: “Semantic Segmentation of Rice Leaf Blast Disease Using Optimized U-Net”. |
Selected Publications
-
Semantic Segmentation of Rice Leaf Blast Disease Using Optimized U-NetIn Proceedings of the 2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM), 2022 -
Human Digital Twin Modeling for Cardiovascular SystemScientific Journal of Informatics, 2025 -
Implementasi Teknologi Artificial Intelligence untuk Interdisipliner Ilmu2025Buku Referensi, Universitas Budi Luhur