Ecir U\u011fur K\u00fc\u00e7\u00fcksille is a faculty member in the Department of Computer Engineering at the Faculty of Engineering and Natural Sciences, S\u00fcleyman Demirel University. He completed his bachelor\u2019s degree in 1998 in the Computer Systems Teaching program at Gazi University; he earned his master\u2019s degree in 2002 from the Machine Education program at the Institute of Natural Sciences at S\u00fcleyman Demirel University; and he received his Ph.D. in 2007 from the Business Administration program at the Institute of Social Sciences at the same university.<\/p>\n
His academic research focuses on artificial intelligence, machine learning, deep learning, natural language processing, data mining, explainable artificial intelligence, and cybersecurity. His recent research has centered particularly on the application of quantum machine learning, quantum deep learning, and hybrid quantum-classical artificial intelligence approaches to image processing, natural language processing, and cybersecurity problems. In this context, he has conducted studies on topics such as deepfake detection using quantum transfer learning, comparing the performance of quantum deep learning methods in image classification, identifying smart contract vulnerabilities using hybrid quantum-classical models, and scientific text summarization using quantum-inspired approaches.<\/p>\n
K\u00fc\u00e7\u00fcksille has served as a researcher and project leader in national and international research projects, published numerous academic papers in the fields of artificial intelligence, machine learning, cybersecurity, and information technologies, and has advised graduate students on their research.<\/p>\n
Active in the field of academic publishing, Prof. Dr. K\u00fc\u00e7\u00fcksille serves on the editorial board of the Turkish Journal of Electrical Engineering and Computer Sciences and on the International Editorial Board of the International Journal of Information Security Science. In his research, he focuses on integrating reliable and explainable artificial intelligence methods with quantum and classical computing approaches, continuing his interdisciplinary work aimed at applying these technologies to real-world problems.<\/p>\n","protected":false},"featured_media":5296,"template":"","meta":{"_acf_changed":false},"class_list":["post-5294","committee","type-committee","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\n