Musabbir Ahmed Arrafi is a PhD student in Mechanical Engineering at the University of Dayton, Ohio, USA, and a Graduate Research Assistant in the SMALT Lab. His doctoral research sits at the intersection of intelligent manufacturing, machine learning, and autonomous systems. He focuses on smart, robot-assisted advanced manufacturing, combining computational and experimental methods to build reliable, scalable engineering solutions.
Before his PhD, Musabbir completed a Master’s in Mechanical Engineering at the University of Dayton as a Graduate Research Assistant in the DaRC-ARMS Lab. His master’s research covered autonomous navigation, learning-based dynamics modeling, model predictive control, sensor fusion, and multi-agent robotic systems.
He earned his Bachelor’s in Robotics and Mechatronics Engineering from the University of Dhaka, working with the AVIS Lab during his undergraduate studies. He was a core member of a precision agriculture project funded by an R&D fellowship from the Ministry of Science and Technology, Bangladesh. He also co-authored a study on predicting urban landslides in Bangladesh’s hilly regions with hybrid machine learning and CMIP6 climate projections (Geosystems and Geoenvironment, 2025).
Research interests: Robotics, machine learning, control systems, sensor fusion, and intelligent mechanical systems. His long-term goal is to build engineering systems that combine physical understanding with machine learning, turning data, dynamics, control theory, and design into practical tools for next-generation manufacturing and autonomous systems.
Search for Musabbir Ahmed Arrafi's papers on the Publications page