Mahammad Irfan received his B.Tech. degree in Electrical and Electronics Engineering from S’O’A University, Bhubaneswar, India, in 2015, and his M.Tech. degree in Electronics Engineering from Punjab Technical University, Jalandhar, India, in 2018. He is currently pursuing his Ph.D. in Electronics and Computer Engineering at the University of Limerick, Ireland, where he is a member of the Centre for Robotics and Intelligent Systems (CRIS). His research is primarily focused on advancing the fields of Simultaneous Localization and Mapping (SLAM), UAV state estimation, and multi-sensor fusion. He has a strong interest in enhancing the autonomy and navigation capabilities of UAVs in complex, dynamic, and GPS-denied environments.Mr. Irfan has developed and validated a novel LSTM-based self-adaptive sensor fusion framework for UAV state estimation, integrating cutting-edge machine learning techniques with traditional estimation algorithms. His contributions extend to the design of robust sensor fusion strategies utilizing IMU, GPS, LiDAR, and visual sensors, aimed at improving UAV navigation and perception in challenging real-world scenarios. He has presented his work at international conferences and actively engages with the research community as a Student Member of IEEE. His current research is positioned at the intersection of robotics, machine learning, and autonomous systems, with a focus on bridging theoretical advancements and real-world applications.