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Erdal Kayacan
Adjungeret lektor
Institut for Elektro- og Computerteknologi - Signal Processing and Machine learning - Edison
Finlandsgade 22
8200 Aarhus N
Danmark
Profil
Erdal Kayacan received a B.Sc. degree in electrical engineering from Istanbul Technical University, Istanbul, Turkey, in 2003 and a M.Sc. degree in systems and control engineering from Bogazici University, Istanbul, Turkey, in 2006. In September 2011, he received a Ph.D degree in electrical and electronic engineering at Bogazici University, Istanbul, Turkey. After finishing his post-doctoral research in KU Leuven at the division of mechatronics, biostatistics and sensors (MeBioS) in 2014, he worked in Nanyang Technological University at the School of Mechanical and Aerospace Engineering as an assistant professor for four years. Currently, he is pursuing his research in Aarhus University at the Department of Engineering as an associate professor.
Dr. Kayacan is co-writer of a course book “Fuzzy Neural Networks for Real Time Control Applications, 1st Edition Concepts, Modeling and Algorithms for Fast Learning“, Butterworth-Heinemann, Print Book ISBN:9780128026878. (17 Sept 2015). He is a Senior Member of Institute of Electrical and Electronics Engineers (IEEE). From 1st Jan 2017, he is an Associate Editor of IEEE Transactions on Fuzzy Systems.
His research areas are computational intelligence methods, sliding mode control, model predictive control, mechatronics and unmanned aerial vehicles.
Research interests
- Artificial intelligence
- Intelligent control
- Robotics
- Mechatronics
- Sliding mode control
- Unmanned aerial vehicles
Links
- Udgivet
UAV Trajectory Evaluation in Large Industrial Environments: A Cost-Effective Solution
Publikation: Bidrag til bog/antologi/rapport/proceeding › Konferencebidrag i proceedings › Forskning › peer review
- Udgivet
Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots
Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
- Udgivet
PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing
Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avis › Tidsskriftartikel › Forskning › peer review
REMARO (Reliable AI for Marine Robotics)
Projekter: Projekt › Forskning
Visualisation of Virtual Outcrops Using Aerial Robots
Projekter: Projekt › Forskning
Autonomous inspection of wind turbines using drones
Projekter: Projekt › Forskning
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems
Aktivitet: Deltagelse i eller arrangement af en begivenhed - typer › Deltagelse i eller organisering af konference
2018 IEEE Conference on Control Technology and Applications
Aktivitet: Deltagelse i eller arrangement af en begivenhed - typer › Deltagelse i eller organisering af konference
2018 American Control Conference (ACC)
Aktivitet: Deltagelse i eller arrangement af en begivenhed - typer › Deltagelse i eller organisering af konference
ID: 120405247