Hakan Ezgi

Research Fellow

Simply Me

Given enough time and energy, anything is possible.

I have a PhD degree in Computer Engineering. I possess strong theoretical knowledge of Computer Engineering due to my work experience in academia. I also possess research-focused software development skills. I have completed two funded and numerous research and personal software projects.

I always find new and challenging problems intriguing. It drives me to research different topics in academic life, and I only wish to make something more meaningful. My research interests include machine learning, optimization, evolutionary algorithms, usable security, and wireless sensor networks.

I am a highly motivated person and a fast learner. I can easily adapt myself to any project. I highly value project time schedules and meet project deadlines, even under pressure. Moreover, being positive in personal communications and handling positive criticism well are the two most important topics, according to my students in my class evaluation reports.

Technical skills:
I am naturally a Java developer. I have been using Python for the past couple of years in my research studies. In addition, I have got hands-on-experience in both supervised and unsupervised machine learning techniques. I have applied these techniques with different programming languages, such as Python (and its libraries), MATLAB, and WEKA. Also, I am fluent in data processing, i.e., retrieving and combining data from multiple sources and in many different formats (numerical, categorical, text, etc.). I also possess web and mobile development skills.


Practicing makes perfect.


Computer Engineering
@ TOBB University of Economics and Technology


Computer Engineering
@ TOBB University of Economics and Technology


@ TOBB University of Economics and Technology


"Information is not knowledge. The only source of knowledge is experience. You need experience to gain wisdom."
Albert Einstein

Research Fellow
@ Sheffield Hallam University
2021 - Current

Assistant Professor
@ University of Turkish Aeronautical Association
2016 - 2022

Research Software Engineer
@ The Open University
2020 - 2021

Adjunct Assistant Professor
@ University of Notre Dame, London
2019 Spring

Visiting Researcher
@ The Open University
2018 - 2019

Teaching Assistant
@ Ted University
2015 - 2016

Software Developer
@ STORK 2.0, EU co-funded project
2014 - 2015

Research Software Engineer
@ SMARTCHA, a funded project
2011 - 2012

Teaching Assistant
@ TOBB University of Economics and Technology
2008 - 2015


Publish or perish.

Academic profile:

- Google Scholar

- dblp


2022 @Expert Syst. J. Knowl. Eng.
Predicting the severity of COVID-19 patients using a multi-threaded evolutionary feature selection algorithm.
Ayça Deniz, Hakan Ezgi Kiziloz, Ender Sevinç, Tansel Dökeroglu

2022 @Neurocomputing
A comprehensive survey on recent metaheuristics for feature selection.
Tansel Dökeroglu, Ayça Deniz, Hakan Ezgi Kiziloz

2021 @Comput. Ind. Eng.
An evolutionary parallel multiobjective feature selection framework.
Hakan Ezgi Kiziloz, Ayça Deniz

2021 @Neurocomputing
Classifier ensemble methods in feature selection.
Hakan Ezgi Kiziloz

2021 @Knowl. Based Syst.
A robust multiobjective Harris' Hawks Optimization algorithm for the binary classification problem.
Tansel Dökeroglu, Ayça Deniz, Hakan Ezgi Kiziloz

2020 @Pattern Recognit. Lett.
Boosting gender identification using author preference.
Tayfun Kucukyilmaz, Ayça Deniz, Hakan Ezgi Kiziloz

2019 @Expert Syst. Appl.
On initial population generation in feature subset selection.
Ayça Deniz, Hakan Ezgi Kiziloz

2018 @Comput. Ind. Eng.
A robust and cooperative parallel tabu search algorithm for the maximum vertex weight clique problem.
Hakan Ezgi Kiziloz, Tansel Dökeroglu

2018 @Comput. Ind. Eng.
Cooperative parallel grouping genetic algorithm for the one-dimensional bin packing problem.
Tayfun Kucukyilmaz, Hakan Ezgi Kiziloz

2018 @Neurocomputing
Novel multiobjective TLBO algorithms for the feature subset selection problem.
Hakan Ezgi Kiziloz, Ayça Deniz, Tansel Dökeroglu, Ahmet Cosar

2017 @Neurocomputing
Robust multiobjective evolutionary feature subset selection algorithm for binary classification using machine learning techniques.
Ayça Deniz, Hakan Ezgi Kiziloz, Tansel Dökeroglu, Ahmet Cosar

2017 @IEEE Trans. Human-Machine Systems
A Closer Look at Pure-Text Human-Interaction Proofs.
Hakan Ezgi Kiziloz, Kemal Bicakci

2016 @Int. J. Hum.-Comput. Stud.
Leveraging human computation for pure-text Human Interaction Proofs.
Kemal Bicakci, Hakan Ezgi Kiziloz


2020 @SMC
Feature Selection with Dynamic Classifier Ensembles.
Hakan Ezgi Kiziloz, Ayça Deniz

2018 @ISC
How Safe Is Safety Number? A User Study on SIGNAL's Fingerprint and Safety Number Methods for Public Key Verification.
Kemal Bicakci, Enes Altuncu, Muhammet Sakir Sahkulubey, Hakan Ezgi Kiziloz, Yusuf Uzunay

2015 @ISCC
Towards making accessible human-interaction proofs more secure and usable.
Hakan Ezgi Kiziloz, Kemal Bicakci

2013 @SIU
Network lifetime maximization and localized routing tradeoff in wireless sensor networks.
Erkam Uzun, Alper Aksaç, Orkun Ozturk, Hakan Ezgi Kiziloz, Davut Incebacak, Bülent Tavli, Kemal Bicakci

2011 @Digital Identity Management
Johnny in internet café: user study and exploration of password autocomplete in web browsers.
Kemal Bicakci, Nart Bedin Atalay, Hakan Ezgi Kiziloz

Journal and conference papers are retrieved from dblp on 31/08/2022.


Operating Systems

'19 Spring, '17 Fall, '16 Fall

Computer Networks

'18 Spring, '17 Spring, '16 Fall

Introduction to Programming

'20 Spring, '19 Fall, '18 Summer, '18 Spring, '17 Fall, '17 Summer, '14 Spring, '14 Fall

Principles of Software Engineering

'20 Summer, '20 Spring

Cyber Security

'16 Fall

Programming Languages

'17 Fall


Catch me if you can.


H.E.Kiziloz [at] shu.ac.uk

PhD Comic