Ali Can Erust

Ali Can Erust is a current researcher at Muğla Sıtkı Koçman University, Faculty of Engineering, Department of Electrical and Electronics Engineering. He is pursuing a doctoral degree in Electrical and Electronics Engineering while actively contributing to academic publications and research projects.

• Bachelor's Degree: Aydın Adnan Menderes University (2013-2018)
• Master's Degree: Süleyman Demirel University (2018-2020)
• Doctorate: Muğla Sıtkı Koçman University (2020 - Ongoing)

His research focuses on advanced control systems for drones, optimal route planning for UAV applications in power grid monitoring, and intelligent transportation systems using deep reinforcement learning. His work bridges robotics with energy systems optimization.

Recent publications highlight his expertise in:

• Quadrotor control systems
• Dynamic path optimization for EV charging
• UAV applications in electricity distribution

Scientific Recognition:

• Xplore Technology Award 2023

He has contributed to international conferences including SEST (Smart Energy Systems and Technologies) and TOK (Automatic Control National Meeting), serving as a referee and presenter.