Dipraj Debnath | Aerospace Engineering | Best Researcher Award Posted on 07/11/202407/11/2024 by sciencefather Mr. Dipraj Debnath | Aerospace Engineering | Best Researcher Award Mr. Dipraj Debnath, Queensland University of technology, Australia Mr. Dipraj Debnath is a PhD candidate in Robotics at the Queensland University of Technology (QUT), Australia, where his research focuses on multi-UAV navigation, path planning, and obstacle avoidance. With a Master’s degree in Aerospace Engineering from Universiti Sains Malaysia and a B.Sc. in Electrical and Electronics Engineering from the American International University-Bangladesh, he brings a strong foundation in UAV and robotics systems. His technical skills include MATLAB, Simulink, Python, and ROS2. Additionally, he has experience as a Sessional Academic at QUT, guiding students in advanced UAV technologies. Mr. Debnath’s work aims to advance autonomous UAV systems through innovative problem-solving and optimization techniques. PROFILE Orcid Profile Educational Details Mr. Dipraj Debnath is currently pursuing his PhD in Robotics, focusing on multi-UAV navigation, path planning algorithms, and obstacle avoidance at the Queensland University of Technology (QUT) in Brisbane, Australia. He completed his Master of Science (M.Sc.) in Aerospace Engineering in research mode at Universiti Sains Malaysia (USM), Penang, Malaysia, from 2019 to 2022. His undergraduate studies were completed at the American International University-Bangladesh, where he graduated with a Bachelor of Science (B.Sc.) in Electrical and Electronics Engineering, achieving an impressive 83% score. Professional Experience Mr. Debnath’s professional journey in academia and research has been marked by a blend of advanced technical and instructional roles. As a PhD candidate at QUT, he has been involved in research aimed at solving complex problems in multi-UAV navigation and target-finding algorithms. His previous experience includes work as a Graduate Research Assistant at USM, where he focused on optimizing path planning for Unmanned Aerial Systems (UAS). In 2024, he served as a Sessional Academic at QUT, where he conducted tutorials for an advanced course on Unmanned Aircraft Systems, guiding students through practical exercises and supporting their comprehension of UAV technologies. Research Interest Mr. Debnath’s primary research interests are in robotics, particularly multi-UAV systems, autonomous navigation, obstacle detection, and algorithmic optimization for UAS. His work has consistently centered on enhancing the safety, efficiency, and autonomy of unmanned aerial vehicles, with a special focus on obstacle avoidance and path planning. Top Notable Publications Debnath, D. (2024). “A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications.” Remote Sensing, 16(21), Article 4019. DOI: 10.3390/rs16214019 Debnath, D. (2024). “An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning.” Drones, 8(7), Article 302. DOI: 10.3390/drones8070302 Debnath, D. (2023). “QuickNav: An Effective Collision Avoidance and Path-Planning Algorithm for UAS.” Drones, 7(11), Article 678. DOI: 10.3390/drones7110678 Debnath, D. (2021). “Adapting Travelling Salesmen Problem for Real-Time UAS Path Planning Using Genetic Algorithm.” In Lecture Notes in Mechanical Engineering. DOI: 10.1007/978-981-16-0866-7_12. Conclusion Given Mr. Dipraj Debnath’s robust academic qualifications, specialized research, teaching contributions, prestigious awards, and technical skills, he embodies the attributes of an outstanding researcher. His work aligns with the award’s criteria for advancing research excellence, making him a strong candidate for the Research for Best Researcher Award.
Mr. Debnath’s professional journey in academia and research has been marked by a blend of advanced technical and instructional roles. As a PhD candidate at QUT, he has been involved in research aimed at solving complex problems in multi-UAV navigation and target-finding algorithms. His previous experience includes work as a Graduate Research Assistant at USM, where he focused on optimizing path planning for Unmanned Aerial Systems (UAS). In 2024, he served as a Sessional Academic at QUT, where he conducted tutorials for an advanced course on Unmanned Aircraft Systems, guiding students through practical exercises and supporting their comprehension of UAV technologies. Research Interest Mr. Debnath’s primary research interests are in robotics, particularly multi-UAV systems, autonomous navigation, obstacle detection, and algorithmic optimization for UAS. His work has consistently centered on enhancing the safety, efficiency, and autonomy of unmanned aerial vehicles, with a special focus on obstacle avoidance and path planning. Top Notable Publications Debnath, D. (2024). “A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications.” Remote Sensing, 16(21), Article 4019. DOI: 10.3390/rs16214019 Debnath, D. (2024). “An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning.” Drones, 8(7), Article 302. DOI: 10.3390/drones8070302 Debnath, D. (2023). “QuickNav: An Effective Collision Avoidance and Path-Planning Algorithm for UAS.” Drones, 7(11), Article 678. DOI: 10.3390/drones7110678 Debnath, D. (2021). “Adapting Travelling Salesmen Problem for Real-Time UAS Path Planning Using Genetic Algorithm.” In Lecture Notes in Mechanical Engineering. DOI: 10.1007/978-981-16-0866-7_12. Conclusion Given Mr. Dipraj Debnath’s robust academic qualifications, specialized research, teaching contributions, prestigious awards, and technical skills, he embodies the attributes of an outstanding researcher. His work aligns with the award’s criteria for advancing research excellence, making him a strong candidate for the Research for Best Researcher Award.
Debnath, D. (2024). “A Review of UAV Path-Planning Algorithms and Obstacle Avoidance Methods for Remote Sensing Applications.” Remote Sensing, 16(21), Article 4019. DOI: 10.3390/rs16214019 Debnath, D. (2024). “An Integrated Geometric Obstacle Avoidance and Genetic Algorithm TSP Model for UAV Path Planning.” Drones, 8(7), Article 302. DOI: 10.3390/drones8070302 Debnath, D. (2023). “QuickNav: An Effective Collision Avoidance and Path-Planning Algorithm for UAS.” Drones, 7(11), Article 678. DOI: 10.3390/drones7110678 Debnath, D. (2021). “Adapting Travelling Salesmen Problem for Real-Time UAS Path Planning Using Genetic Algorithm.” In Lecture Notes in Mechanical Engineering. DOI: 10.1007/978-981-16-0866-7_12. Conclusion