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Erdal Kayacan

Assistant Professor
School of Mechanical and Aerospace Engineering
Nanyang Technological University
Singapore

Biography

Erdal Kayacan holds a PhD in Electrical and Electronic Engineering from Bogazici University (2011). He was a visiting scholar in University of Oslo in 2009 with the research fellowship of Norway Research Council. After his post-doctoral research in KU Leuven at the Division of Mechatronics, Biostatistics and Sensors, Dr. Kayacan went on to pursue his research in Nanyang Technological University at the School of Mechanical and Aerospace Engineering as assistant professor (2014 - current). He has published more than 90 peer-refereed book chapters, journal and conference papers in intelligent control, fuzzy systems and robotics. In the area of artificial intelligence in system identification and control theory as applied to robotic applications, his contributions to interval type-2 fuzzy neural networks have made a notable impact on the computational intelligence community and have also reached a high level of international recognition. 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. 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, the leading international journal in artificial intelligence.

Research Interest

Computational intelligence, unmanned ground and aerial vehicles control

Publications

  • Andriy Sarabakha, Nursultan Imanberdiyev, Erdal Kayacan, Mojtaba Ahmadieh Khanesar and Hani Hagras, “Novel Levenberg-Marquardt Based Learning Algorithm for Unmanned Aerial Vehicles”, Information Sciences, vol.417, pp. 361-380, November 2017

  • Efe Camci, Devesh Raju Kripalani, Linlu Ma, Erdal Kayacan and Mojtaba Ahmadieh Khanesar, “An Aerial Robot for Rice Farm Quality Inspection With Type-2 Fuzzy Neural Networks Tuned by Particle Swarm Optimization-Sliding Mode Control Hybrid Algorithm, Swarm and Evolutionary Computation (In press).

  • Andriy Sarabakha, Changhong Fu, Erdal Kayacan and Tufan Kumbasar, “Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment in Real-Time for Quadcopter UAVs”, IEEE Trans. on Industrial Electronics (In press).

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