|Computer Engineering||Near East University||Undergraduate||2012|
|Computer Engineering||Cyprus International University||Masters||2015|
|Computer Engineering||Cyprus International University||Ph.D||2022|
B. Work Experience
|Software Engineering||Lecturer||Bahçeşehir University||2022-now|
|Computer Engineering||Lecturer||University of Kyrenia||2021-2022|
|Computer Engineering||Lecturer||Near East University||2019-2021|
|NEU Robotics Lab.||Research and Development||Near East University||2017-2022|
C. Administrative Positions
|Software Engineering||Acting Head of Department||Bahçeşehir University||2022-now|
|Management Information Systems||Acting Head of Department||Bahçeşehir University||2022-now|
a. Publications listed under Web of Science (SSCI veya SCI-Expanded)
b. Conference Publications
c. Other Publications
E. Research Topics
Artificial Intelligence (AI) is a field that combines computer science and robust datasets to enable problem-solving at its simplest form. AI is a very big field; thus, it has many sub-fields that even have sub-fields.
Robotics is a multidisciplinary field. Mainly consists of from engineering fields such as, software engineering, mechanical engineering, electrical engineering or biomedical engineering. Robotic devices are developed to replaces humans or replicate their actions. There are many application fields of robotics such as, military robots, medical robots, kitchen automation or educational robots.
Machine learning (ML) is an application of AI that provides systems the ability to learn and improve from experience without being explicitly programmed to do so. While AI is the broad science of mimicking human abilities, ML is a specific sub-field of AI that trains a machine how to learn. Today,
ML is mainly used for two purposes one is to make classification of data based on a model that developed. The other objective is to predict a future outcome based on the model.
In machine learning, a model is trained to make predictions on an unknown data. There are many algorithms and methods to train and test these models. Neural Networks is one of them. Using neural networks, computer vision, filtering, medical diagnosis, and speech recognition problems or tasks can be solved.