Mustofa Basri

Khalifa University of Science and Technology

Papers

Total Citations

H-Index

About

Mustofa Basri is an emerging researcher specializing in autonomous systems, machine learning, and intelligent robotics, with a particular focus on applying deep learning techniques to real-world navigation and delivery challenges. His most notable contribution, "A Hybrid Deep Learning Approach for Vehicle Wheel Slip Prediction in Off-Road Environments" (2022), addresses one of the most complex problems in ground vehicle navigation — accurately predicting tire slippage across unpredictable terrains such as sand, gravel, and mud. This work, which has garnered 10 citations, demonstrates his commitment to bridging the gap between theoretical machine learning models and practical autonomous vehicle safety. Building on this foundation, Basri extended his research into last-mile delivery automation with his 2023 paper on AI-augmented self-driving delivery robots, reflecting his broader interest in sustainable, efficient logistics solutions amid growing e-commerce demands. Though early in his research career, Basri's interdisciplinary approach — combining robotics, deep learning, and autonomous systems — positions him as a promising voice in the rapidly evolving field of intelligent transportation and delivery automation. Students and researchers interested in off-road autonomy and smart logistics will find his work both timely and technically rigorous.