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ABOUT ME
How does it feel to stand on the surface of Mars? What mysteries lie in the great depth of an ocean? Exploring those realms with the frail human physique might seem impossible. But what if we could upload our cognition into an indestructible robot capable of all human motor functions and more? Would it still seem impossible, then? My journey in robotics began with the quest to answer this question.
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During the freshman year of my undergraduate studies, attempting to build line-follower robots introduced me to feedback control and PID tuning. After completing the compulsory courses in Mechanical Engineering up to my junior year, I wanted to develop a better understanding of dynamic systems and control. In my senior year, I chose the Mechatronics and Control Track to build a solid foundation in robotics. In parallel, I worked on a number of projects highlighted in the Projects section.
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After graduating from BUET in February 2021, I enrolled in the M.S. in Mechanical Engineering program at the University of South Carolina (UofSC). My research focus here is aerial drones. I have maintained an excellent academic record during my M.S. with a CGPA of 4.00/4.00. I am specializing in the Dynamics and Control track for my M.S. and have built a comprehensive background in optimal state estimation techniques, linear control theory, classical machine learning algorithms, robot modelling (homogeneous transformations, forward and inverse kinematics, velocity kinematics), and digital image processing fundamentals. In the course of my research, I earned hands-on experience in software development using Python and ROS, debugging and refactoring, and version control using GitHub.
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My research interest lies in novel robot design, state and pose estimation, sensor fusion, localization, path planning, and linear, nonlinear, and learning-based control of robots. I am interested in exploring any of the Biomechatronics, Legged robots, UAV, or AGV domains. My ultimate goal is to become an impactful researcher and improve human lives with the help of robotics, especially in a developing country like Bangladesh.
EDUCATION
TOP COURSEWORKS
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Optimal State Estimation
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Robot Modeling and Control (Forward and Inverse Kinematics)
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Control Theory
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Digital Image Processing
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Mechatronics
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Aerodynamics and Flight Mechanics
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Automobile Engineering
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Computer Programming Language - C, Python
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Instrumentation and Measurement
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Electromechanical System Design and Practice
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Engineering Mechanics (Statics, Dynamics & Mechanics of Solid)
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Mechanical Engineering Drawing & CAD
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Machine Design
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Machine Shop, Foundry and Welding Shop Practice
2021 - 2023 (Expected)
University of South Carolina, Columbia, United States
M.S. in Mechanical Engineering
(Specialization: Dynamics and Control)