MDBF Webinars – Dr. Kemal İhsan Kılıç

As part of the webinar series organized by our Faculty of Engineering and Natural Sciences, Dr. Kemal İhsan Kılıç from University of Camerino will make a presentation titled “Geometry-Based Optimization Heuristics for Region Coverage and Pathfinding in Drone-Based Operations” on Friday, May 13 at 14.00.

Zoom üzerinden gerçekleşecek etkinlik ilgilenen herkesin katılımına açıktır. 

Summary EVs (Electric Vehicles), especially EFVs (Electric Flying Vehicles), are important technologies for sustainable living on our planet. EVs have a smaller carbon footprint than gasoline vehicles, including charging. However, the limited on-board energy of EVs needs new research to improve the efficiency of EVs. In this talk we will address this issue and present geometry-based optimization heuristics to make drone-based operations more effective. Drones are versatile vehicles that can be used in many critical operations. They can be mobile IoT stations providing mission-critical data. Drones can fly directly from one point to another following the shortest possible path. In this study, two important types of operations are examined. These are area coverage and pathfinding. Area coverage operations involve the static configuration of drones, while pathfinding involves the dynamic use of drones. Geometry-based optimization heuristics are proposed and compared for both types of operations. Improvements over the base case methods are measured in an experimental setup. The statistical implications of the results are discussed and the most effective methods are indicated. While energy (or flight distance to reach the target) is the main objective for the optimizations, the proposed optimization frameworks use “scenario-based weighted multi-objective scoring”.

 

Konuşmacı Hakkında: Kemal Ihsan Kilic received the M.Sc. degrees in computer science from the University of Maryland, College Park, in 1998, and in sustainable environment and energy systems from Middle East Technical University, North Cyprus Campus, in 2018. He is currently pursuing the Ph.D. degree with the Computer Science Division, University of Camerino. His research interests include computer vision, machine learning, optimization heuristics, and wireless sensor networks.