Rate My Professor Endrowednes Kuantama

Dr. Endrowednes Kuantama serves as a Lecturer in IoT and Networking in the School of Computing at Macquarie University, part of the Faculty of Science and Engineering. Specializing in autonomous drone systems, real-time embedded platforms, and networked robotic systems, he holds a Doctor of Engineering degree from the University of Oradea in Romania, complemented by prior master's-level engineering qualifications and extensive teaching and research experience across Indonesia, Romania, and South Korea. As a co-founder of the Macquarie Advanced Drone Systems Research Centre (ADSRC), Dr. Kuantama has secured more than $2.2 million in competitive research funding. His career includes leading research projects such as Deep Vision in Autonomous Underwater 3D Mapping for Biodiversity Assessment, AI-Driven Integration of Unmanned Aerial Vehicle and Underwater Drone Technologies for Real-Time Monitoring in Marine Applications, and Automatic Empty Locations Check in the Warehouse Using a Drone. He contributes to the academic community through roles on topical advisory panels for drone journals, as an Editorial Board Member of the International Journal for Smart Sensing and Intelligent Systems, Technical Program Committee member for EAI MobiQuitous, Local Arrangements Chair for IEEE ICFEC 2026, and Guest Editor for special issues in Drones and Frontiers in Robotics and AI. Dr. Kuantama has delivered invited public lectures, including at Pelita Harapan University on drone and underwater electric vehicles and presentations at the NSW Government's Drones Community of Practice.

Dr. Kuantama's research centers on the design, control, and deployment of intelligent unmanned systems, encompassing aerial (UAV), surface (USV), and underwater (UUV) drones, with expertise in aerial manipulation, heterogeneous multi-drone systems, real-time operating systems, embedded system design, Internet of Drones architectures, sensing, perception, sensor fusion, path planning, SLAM, robotic control, and machine learning for autonomy. He has produced 44 research outputs, including 29 conference papers, 12 journal articles, and 2 book chapters, with notable publications such as 'Analysis of quadcopter propeller vibration based on laser vibrometer' (2021, Journal of Low Frequency Noise Vibration and Active Control), 'The design and experimental development of air scanning using a sniffer quadcopter' (2019, Sensors), 'Feedback linearization LQR control for quadcopter position tracking' (2018), and recent works like 'Laser-based drone vision disruption with a real-time tracking system for privacy preservation' (2024) and 'Cooperative drone delivery via push-based lift with payload stabilization' (2024). Demonstrating significant impact, he has filed three PCT patent applications on drone technologies, including an object transfer system, and co-founded startups Drenergy and Airspace Forensics to commercialize drone sensing and autonomy research, advancing scalable, resilient autonomous systems for real-world applications.