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.

Sagar Dalai  is currently pursuing his Ph.D. at the University of Limerick,Ireland, with the Centre of Robotics and Intelligent Systems (CRIS) Group. He holds a Bachelor of Technology in Electronics and Telecommunication from Biju Patnaik University of Technology (BPUT), Odisha, India. His primary researchinterests include hyperspectral image processing, Simultaneous Localization and Mapping (SLAM), and path planning algorithms. His work focuses on leveraging advanced imaging and AI techniques to enhance environmental monitoring and autonomous systems.

Dr. Petar Trslic is an Assistant Professor at the University of Limerick, Ireland, specializing in mechatronics, robotics, and autonomous systems. With a robust background in research, his work focuses on autonomous navigation and inspection technologies for aerial and underwater robotics. Dr. Trslic has led impactful projects, including developing autonomous docking systems for remotely operated vehicles (ROVs) and various 3D reconstruction workflows using aerial drones. As a Technical Lead on Horizon 2020 and national projects, he has worked in areas of sensor fusion, GPS-denied localization, and automated inspection technologies. Dr. Trslic holds a PhD in the autonomous docking of work-class ROVs from the University of Limerick and has authored numerous high-impact publications in ocean engineering,robotics, and sensor systems.

James Riordan received the B.Eng. degree in Elec-tronic Engineering specialising in aircraft simulationsystems, and the Ph.D. degree in real-time process-ing of acoustic signals, both from the University ofLimerick, Ireland. Currently, he is a Full Professor atthe University of the West of Scotland, U.K., wherehe is the Director of the Drone Systems Laboratory.He is Principal Investigator of multiple researchprojects funded by the European Commission andUK Research and Innovation. His research interestsinclude artificial intelligence, computer vision, andsensing methods to extend the safe and sustainable application of autonomousvehicles in land, air, and sea.

Ger Dooly received a bachelor’s degree in electronic and computer engineering in 2003 and a Ph.D. in 2008, both from the University of Limerick (UL), Ireland, where his research focused on optical-based sensor systems. He is currently an Associate Professor in the School of Engineering at UL, where he has worked extensively in robotics for over 20 years. He also serves as the Co-Director of the CRIS Centre and is an Investigator with the SFI Centre for Smart Manufacturing (CONFIRM) and the SFI MaREI Centre for Energy, Climate, and Marine. Dr. Dooly is the designated responsible person for UAS operations within CRIS and holds a license from the Irish Aviation Authority to pilot fixed-wing or multirotor UAS with a maximum take-off weight of up to 75 kg. His research interests include real-time 3D reconstruction, machine vision and machine learning, optical sensors, structural health monitoring, and automated survey and intervention. He is particularly focused on the design and development of robotics and has led numerous multi-partner and multi-agency projects in Ireland and across Europe.