amoinuddeen@pmu.edu.sa
F035
AbuMuhammad Moinuddeen has a Master of Science in Computer Science from Texas A&M University-Commerce, passionate about teaching and eager to gain academic experience. He has developed skills in various areas, including robotics and artificial intelligence. During his time as a Graduate Research Assistant, he contributed to research in Direction of Arrival Estimation, overseeing teams of undergraduate students and optimizing simulations using tools like GNU Radio, Matlab, and LabView. In addition, he has gained hands-on experience in robotics, working with ROS, Linux environmenrts, microcontrollers and Raspberry Pi during his internship at Prince Mohammad University’s Robotics Lab. AbuMuhammad’s academic interests are reflected in his publications, including works on deep learning for road condition assessment and innovative algorithms in DOA estimation. Research he has worked on can be accessed through platforms like Google Scholar and ResearchGate.
MSc Computer Science Texas A&M University-Commerce Texas, USA [2022-2024]:
Texas A&M University is accredited by ABET, and the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC).
BSc Information Technology Prince Mohammad University Al-Khobar, KSA [2019-2022]:
PMU is accredited by ABET and the National Commission for Academic Accreditation and Evaluation (NCAAA).
Pothole Severity Classification Using Structural Features Extracted from Segmented Images [2024]: https://ieeexplore.ieee.org/abstract/document/10735016
Improved Performance Two-Dimensional Direction of Arrival Estimation Algorithm with Unknown Number of Noncoherent Sources [2022]: https://ieeexplore.ieee.org/abstract/document/10008308
A Comparative Study of Drone Forensic Tools and Techniques [2023]: https://ieeexplore.ieee.org/abstract/document/10053530
Continuous and realtime road condition assessment using deep learning [2022]: https://ieeexplore.ieee.org/abstract/document/9924135
Prince Mohammad Bin Fahd University
Graduate Research Assistant, (TAMU-Commerce: EE Department) Texas, USA 2022-2024:
• Built, set up and maintained lab environments for research on the hardware implementation of 1 & 2 Dimensional Direction of Arrival Estimation with different algorithms using NI 2901 USRP Software Defined Radios in 4-ULA and L-shaped array configuration, and GNU Radio and LabView. • Supervised 2 different teams of undergraduate students as they were working in the lab and instructed them on how to set up and maintain equipment, connect equipment to the build environment, navigate the Ubuntu environment, develop flowgraphs in GNU Radio and scripting in Bash and Python. • Designed and optimized simulations for DOA Estimation using different algorithms including novel approaches in GNU Radio, Matlab, and LabView. • Published a paper with the faculty in charge on the findings of the hardware implementations and simulations of DOA estimation.
Robotics Intern, (Prince Mohammad University: Robotics Lab) Al-Khobar, KSA Summer 2022
• Worked on multiple projects utilizing Arduino micro-controllers and Raspberry Pi 3.
• Helped design a casing for the Lab Inventory Management System project for 3d printing.
• Benefited from lab equipment including programming the TinkerKit’s Braccio arm.
• Built a server for the Lab Inventory Management System project using Raspberry Pi.
• Set up and built environment for ROS development and interfacing with and developing scripts for the PepperBot present in the PMU Robotics Lab.
Artificial Intelligence and Robotics.
