Suggestions
Hakan Kızılöz
Research Fellow
Hakan Kızılöz is a Research Fellow at Sheffield Hallam University, specializing in computer engineering and machine learning. He holds a Ph.D. in Computer Engineering and has a strong academic background, evidenced by his numerous publications in the field.
Research Contributions
Kızılöz has co-authored several significant papers, including:
-
A Comprehensive Survey on Recent Metaheuristics for Feature Selection (2022): This survey discusses the evolution and effectiveness of metaheuristic algorithms in feature selection, highlighting their performance and current challenges in machine learning applications.12
-
Predicting the Severity of COVID-19 Patients: In this study, he contributed to developing a multi-threaded evolutionary feature selection approach to predict patient outcomes during the pandemic.2
-
Boosting Initial Population in Multiobjective Feature Selection: This research focuses on enhancing the initial population in multiobjective feature selection through knowledge-based partitioning techniques.5
Academic Background and Experience
In addition to his role at Sheffield Hallam University, Kızılöz has previously worked at the University of Turkish Aeronautical Association and The Open University, which adds to his diverse experience in academia and research.4 His expertise lies in the theoretical and practical aspects of computer engineering, particularly in machine learning and artificial intelligence.
Kızılöz is also active on LinkedIn, where he shares insights related to his field and connects with other professionals.3
