Moch. Nasheh Annafii

Digital Twin | Machine Learning | Researcher

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I’m Moch. Nasheh Annafii, an informatics, researcher, and system developer with interests in Digital Twin technology, computer vision, and machine learning. My work explores how structured data pipelines, computational modeling, and intelligent analysis can improve the reliability and scalability of digital systems across various domains.

I have practical experience in designing and developing digital solutions across web and mobile environments, integrating cloud-based storage, automated document processing, and data-driven workflows. My applied projects include financial record systems, organizational information platforms, and mobile applications that support efficient digital operations.

With an academic background in Informatics at both the undergraduate and postgraduate levels, my research spans geometric and physical modeling, machine-learning-driven analysis, computer-vision-based data extraction, data integration architectures, and the broader development of Digital Twin concepts that incorporate physical, virtual, data, connection, and service dimensions.

I continue expanding my work in data-driven modeling, intelligent systems, and digital technologies, contributing to both research and real-world implementation in computational informatics.

News

May 01, 2025 MissMecha Python Package Official Release!
Dec 06, 2024 Guest Lecture @ Deakin University on Methods for Handling Missing Data
Aug 07, 2024 Selected as a finalist for the 2024 Visualise Your Thesis (VYT) competition at Deakin University!
Jul 01, 2024 Joined Intersect Australia as a Research Data Scientist Intern!

Selected Publications