Omar DIB

Position:

Associate Professor of Computer Science
College:

College of Science, Mathematics and Technology
Office:

CSMT 443
E-mail:

odib@kean.edu

Education

PhD in Computer Science
University of Burgundy – Franche-Comté, France
BEng in Computer Science
University of Technology of Belfort-Montbeliard, France

Biography

I hold a Ph.D. in Computer Science from the University of Technology of Belfort-Montbéliard in Belfort, France, and bring strong industrial experience as a Research and Development Engineer. Currently, I serve as a Tenured Associate Professor in the Department of Computer Science at Wenzhou-Kean University in Wenzhou, China, where I also coordinated the Master’s program in Computer Information Systems from 2021 to 2024. My teaching spans courses in algorithms, artificial intelligence, and software engineering, and my research focuses on Artificial Intelligence, Machine Learning, Operations Research, and Blockchain technology, with recent publications in high-impact journals. Over the years, I have received recognition for academic contributions, including securing internal research grants and leading innovative projects in smart cities and urban emergency management. Beyond academia, I am passionate about fostering student growth through advising and research mentoring. Outside of work, I enjoy reading, traveling, and exploring emerging technologies.

Course Taught

CPS 5802: Machine Learning Innovations
CPS 5801: Advanced Artificial Intelligence
CPS 5440: Advanced Analysis of Algorithms
CPS 5995: Capstone in Computer Information Systems
CPS 3440: Analysis of Algorithms
CPS 3962: Object-oriented Analysis and Design
CPS 3410: Applied Algorithms and Data Structures
CPS 2231: Computer Organization and Programming
CPS 1032: Microcomputer Applications

Research Interests

My research focuses on the design and application of Artificial Intelligence and Machine Learning algorithms to solve real-world challenges in smart cities, healthcare, and cybersecurity. I have a strong interest in integrating Operations Research techniques with AI to optimize complex systems, as well as leveraging Blockchain technology to ensure transparency, security, and trust in distributed environments. My recent work explores federated learning, explainable AI, and blockchain-based data management systems, with a goal of developing scalable and privacy-preserving solutions. I actively collaborate across disciplines to bridge theoretical research with practical, impactful applications.

Recent Publications

Dib, Omar*. A Decentralized Privacy-Preserving Framework for Diabetic Retinopathy Detection Using Federated Learning and Blockchain. Results in Engineering, 2025. [Q1, CiteScore 7.3, IF 7.9].
https://doi.org/10.1016/j.rineng.2025.105456
Gu, Zhexian, and Dib, Omar*. Enhancing Fraud Detection in the Ethereum Blockchain Using Ensemble Learning. PeerJ Computer Science, 2025. [Q1, CiteScore 7.1, IF 3.8].
https://doi.org/10.7717/peerj-cs.2716
Li, Shiyun, and Dib, Omar*. Enhancing Online Security: A Novel Machine Learning Framework for Robust Detection of Known and Unknown Malicious URLs. Journal of Theoretical and Applied Electronic Commerce Research, 2024. [Q1, CiteScore 9.5, IF 5.1].
https://doi.org/10.3390/jtaer19040141
Diallo, El-hacen, Abdallah, Rouwaida, Dib, Mohammad, and Dib, Omar*. Decentralized Incident Reporting: Mobilizing Urban Communities with Blockchain. Smart Cities, 2024. [Q1, CiteScore 11.2, IF 7.0].
https://doi.org/10.3390/smartcities7040090
Diallo, El-hacen, Dieye, Mohameden, Dib, Omar, and Valiorgue, Pierre. An Agnostic and Secure Interoperability Protocol for Seamless Asset Movement. Journal of Network and Computer Applications, 2024. [Q1, CiteScore 21.5, IF 10.52].
https://doi.org/10.1016/j.jnca.2024.103930
Dib, Omar*, Nan, Zhenghan, and Liu, Jinkua. Machine Learning-Based Ransomware Classification of Bitcoin Transactions. Journal of King Saud University – Computer and Information Sciences, 2024. [Q1, IF 7.4].
https://doi.org/10.1016/j.jksuci.2024.101925
Diallo, El-hacen, Dib, Omar, and Al Agha, Khaldoun. A Scalable Blockchain-Based Scheme for Traffic-Related Data Sharing in VANETs. Blockchain: Research and Applications, 2022. [Q1, CiteScore 11.3, IF 10.54].
https://doi.org/10.1016/j.bcra.2022.100087