Assist Prof at Universidad de Malaga, Spain
Dr. Hossein Nematzadeh is an accomplished researcher and academic with a Ph.D. in Computer Science from the University of Technology, Malaysia. He is currently an Assistant Professor at the Modern College of Business and Science in Oman, with prior experience as a researcher at Universidad de Málaga, Spain, and an assistant professor at Islamic Azad University, Iran. His research interests span Data Science, Artificial Intelligence, Cryptography, and Software Engineering, with a particular focus on explainable AI, feature selection, evolutionary algorithms, and image encryption. Dr. Nematzadeh has published extensively in high-impact journals, contributing to advancements in AI and machine learning. He is also an experienced educator, having taught a wide array of computer science courses at various academic levels. With expertise in technologies like Python, MATLAB, and AWS, he is committed to both advancing research and mentoring the next generation of computer scientists.
Professional Profile
Education
Dr. Hossein Nematzadeh has a strong academic foundation in Computer Science, having completed his Ph.D. at the University of Technology, Malaysia in 2014. Prior to his doctoral studies, he earned his Master’s degree from the same institution in 2009, further solidifying his expertise in the field. Dr. Nematzadeh also holds a Bachelor’s degree from Mazandaran University of Science and Technology, obtained in 2007. His educational journey reflects a deep commitment to the study of computer science, particularly in areas such as Artificial Intelligence, Data Science, and Cryptography. Throughout his academic career, he has gained a robust understanding of both theoretical and practical aspects of the field, which has informed his subsequent research and teaching. This solid educational background, combined with his ongoing research contributions, enables him to be a leader in his academic and professional endeavors.
Professional Experience
Dr. Hossein Nematzadeh has extensive professional experience in academia and research. He is currently serving as an Assistant Professor at the Modern College of Business and Science in Oman, where he teaches and supervises students in the field of Computer Science. Prior to this role, he was a researcher at Universidad de Málaga in Spain from 2021 to 2024, contributing to several high-impact research projects in Artificial Intelligence and Data Science. From 2012 to 2021, he served as an Assistant Professor at Islamic Azad University in Iran, where he taught various computer science courses and engaged in research activities. Throughout his career, Dr. Nematzadeh has built a reputation as both an educator and a researcher, publishing extensively in leading journals and presenting his work in international forums. His expertise spans across Data Science, Artificial Intelligence, and Cryptography, making him a prominent figure in these fields.
Research Interest
Dr. Hossein Nematzadeh’s research interests lie at the intersection of Data Science, Artificial Intelligence, Cryptography, and Software Engineering. He is particularly focused on developing advanced techniques in explainable AI, feature selection, and noise detection, with an emphasis on making AI models more interpretable and reliable. His work in evolutionary algorithms and fuzzy logic explores ways to optimize decision-making processes and improve system performance. Dr. Nematzadeh is also passionate about cryptography, specifically in areas such as image encryption, which contributes to enhancing data security in digital environments. Additionally, he has a strong interest in software engineering, with research dedicated to verification and validation processes, as well as the application of Petri nets to model and analyze complex systems. His research aims to push the boundaries of AI and machine learning, providing solutions to both theoretical and practical challenges in these rapidly evolving fields.
Award and Honor
Dr. Hossein Nematzadeh has earned recognition for his contributions to research and academia throughout his career. He has received several honors for his work in the fields of Data Science, Artificial Intelligence, and Cryptography, particularly for his research on explainable AI and feature selection methods. Dr. Nematzadeh’s scholarly impact is reflected in his publications in prestigious journals such as Engineering Applications of Artificial Intelligence and Knowledge-Based Systems. His work has been widely cited, demonstrating the influence of his research on the scientific community. In addition to his academic accomplishments, Dr. Nematzadeh has been actively involved in mentoring students and contributing to the advancement of his field through teaching and supervision. His dedication to fostering new talent in Computer Science and his continuous pursuit of research excellence have earned him respect within academic circles, making him a highly regarded figure in the global academic and research community.
Publications Top Noted
- Title: Medical image encryption using a hybrid model of modified genetic algorithm and coupled map lattices
Authors: H Nematzadeh, R Enayatifar, H Motameni, FG Guimarães, VN Coelho
Year: 2018
Cited by: 157
- Title: A hybrid feature selection method based on information theory and binary butterfly optimization algorithm
Authors: Z Sadeghian, E Akbari, H Nematzadeh
Year: 2021
Cited by: 116
- Title: Heuristic filter feature selection methods for medical datasets
Authors: M Alirezanejad, R Enayatifar, H Motameni, H Nematzadeh
Year: 2020
Cited by: 78
- Title: Binary search tree image encryption with DNA
Authors: H Nematzadeh, R Enayatifar, M Yadollahi, M Lee, G Jeong
Year: 2020
Cited by: 72
- Title: Frequency based feature selection method using whale algorithm
Authors: H Nematzadeh, R Enayatifar, M Mahmud, E Akbari
Year: 2019
Cited by: 66
- Title: Emergency role-based access control (E-RBAC) and analysis of model specifications with alloy
Authors: F Nazerian, H Motameni, H Nematzadeh
Year: 2019
Cited by: 52
- Title: Predicting air pollution in Tehran: Genetic algorithm and back propagation neural network
Authors: M Asghari, H Nematzadeh
Year: 2016
Cited by: 51
- Title: A novel image security technique based on nucleic acid concepts
Authors: M Yadollahi, R Enayatifar, H Nematzadeh, M Lee, JY Choi
Year: 2020
Cited by: 33
- Title: Mapping to convert activity diagram in fuzzy UML to fuzzy petri net
Authors: H Motameni, A Movaghar, I Daneshfar, H Nemat Zadeh, J Bakhshi
Year: 2008
Cited by: 30
- Title: Automatic ensemble feature selection using fast non-dominated sorting
Authors: S Abasabadi, H Nematzadeh, H Motameni, E Akbari
Year: 2021
Cited by: 28
- Title: A mixed solution-based high agreement filtering method for class noise detection in binary classification
Authors: M Samami, E Akbari, M Abdar, P Plawiak, H Nematzadeh, ME Basiri, …
Year: 2020
Cited by: 24
- Title: Comparison of Decision Tree Methods in Classification of Researcher’s Cognitive Styles in Academic Environment
Authors: ZN Balagatabi, R Ibrahim, HN Balagatabi
Year: 2015
Cited by: 24
