Utku Kose

Utku Kose received the B.S. degree in 2008 from computer education of Gazi University, Turkey as a faculty valedictorian. He received M.S. degree in 2010 from Afyon Kocatepe University, Turkey in the field of computer and D.S. / Ph. D. degree in 2017 from Selcuk University, Turkey in the field of computer engineering. Between 2009 and 2011, he has worked as a Research Assistant in Afyon Kocatepe University. Following, he has also worked as a Lecturer and Vocational School - Vice Director in Afyon Kocatepe University between 2011 and 2012 and as a Lecturer and Research Center Director in Usak University between 2012 and 2017. Currently, he is an Assistant Professor in Suleyman Demirel University, Turkey. His research interest includes artificial intelligence, machine ethics, artificial intelligence safety, optimization, the chaos theory, distance education, e-learning, computer education, and computer science.

Publications

Dynamics of Swarm Intelligence Health Analysis for the Next Generation
Arumugam Suresh Kumar, Utku Kose, Sachin Sharma, S. Jerald Nirmal Kumar. © 2023. 273 pages.
In today’s world, smart healthcare supports the out-of-hospital concept, which transforms and offers higher care standards. This is accomplished with individual requirements with...
Foreword
Utku Kose. © 2020. 3 pages.
This Foreword is included in the book Handbook of Research on Emerging Trends and Applications of Machine Learning.
Foreword
Utku Kose. © 2019. 2 pages.
This Foreword is included in the book Computational Techniques for Dental Image Analysis.
Towards an Intelligent Biomedical Engineering With Nature-Inspired Artificial Intelligence Techniques
Utku Kose. © 2019. 26 pages.
Artificial intelligence has a remarkable effect on many different fields with its flexible and comprehensive solution approaches to solve real-world problems. In this context...
Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems
Utku Kose, Gur Emre Guraksin, Omer Deperlioglu. © 2018. 381 pages.
Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical...
Towards an Intelligent Biomedical Engineering With Nature-Inspired Artificial Intelligence Techniques
Utku Kose. © 2018. 26 pages.
Artificial intelligence has a remarkable effect on many different fields with its flexible and comprehensive solution approaches to solve real-world problems. In this context...