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- Dr Milan Dordevic
Dr Milan Dordevic is an Associate Professor at the University of Wollongong in Dubai (UOWD), where he teaches CSCI218 Foundations of Artificial Intelligence and supervises Master’s and Bachelor’s students on various AI-related topics. Dr Dordevic holds a Doctor of Science in Computer Science from the University of Primorska – FAMNIT, Slovenia (EU), awarded in 2012. His dissertation was titled “Grafted Genetic Algorithms and the Traveling Visitor Problem”.
Dr Dordevic adopts a practical, student-centered, and interdisciplinary approach to teaching, emphasizing: Hands-on Learning: Courses like CSCI218 Foundations of AI, Web Technologies, and Fundamentals of Programming include progressive assignments and real-world applications to reinforce concepts through practice. Project-Based Learning: He supervises Capstone Projects and senior research initiatives that encourage students to apply theoretical knowledge to solve real-world problems, often in collaboration with industry partners (e.g., AHB.ai). Algorithmic Thinking and Problem Solving: His teaching in courses such as Discrete Mathematics, Systems Programming, and Computational Thinking and Coding focuses on developing students’ logical reasoning and algorithmic design skills. Use of Emerging Technologies: He integrates AI, VR, and web development frameworks into coursework and student projects, fostering innovation and technical fluency. Mentorship and Supervision: Dr Dordevic actively supervises both Bachelor’s and Master’s students, guiding them through advanced AI topics and encouraging research publication and conference participation.
Dr Milan Dordevic’s research interests lie at the intersection of artificial intelligence, evolutionary computation, and combinatorial optimization, with a strong focus on developing intelligent systems for real-world applications. His doctoral work introduced the Grafted Genetic Algorithm to solve the Traveling Visitor Problem, and he has since expanded his research to include hybrid metaheuristic algorithms, deep learning, and AI-based diagnostic tools. He is actively involved in projects related to document-level event extraction for child safety, medical image analysis for diabetic retinopathy, and misinformation detection on social media. His work also explores machine learning applications in education, such as predicting student dropout rates and recommending academic majors using large language models. Dr Dordevic’s research is deeply interdisciplinary, combining technical rigor with societal impact, and is often conducted in collaboration with industry partners and presented at international conferences.
Before joining the University of Wollongong in Dubai, Dr Milan Dordevic held several academic and research positions across the UAE, Kuwait, Slovenia, and Serbia. From Fall 2021 to Summer 2025, he was at the Higher Colleges of Technology (HCT) in the UAE, where he taught a wide range of computing and IT courses, coordinated student competitions, and contributed to technical committees for conferences and cybersecurity events. Prior to that, he was an Associate Professor at the American University of the Middle East (AUM) in Kuwait from Fall 2018 to Fall 2021, and an Assistant Professor there from Spring 2014 to Fall 2018, teaching engineering-focused programming and mathematics courses, supervising senior projects, and leading academic activities and ABET curriculum development. Earlier in his career, Dr Dordevic worked at the University of Primorska in Slovenia, contributing to applied research projects in healthcare and LIDAR data processing as well as focusing on evolutionary algorithms, combinatorial optimization, and AI techniques such as Ant Colony and Memetic Algorithms.
- Doctor of Science in Computer Science University of Primorska – FAMNIT, Slovenia (EU) Years: 2008–2012
- U. Durani, A. Malik, M. Dordevic, M. Akpinar, M. Togher, S. Aoudi. Assessing the Effectiveness of Large Language Models in Predicting Student Dropout Rates. In International Conference on Artificial Intelligence, Metaverse, and Cybersecurity, ICAMAC 2024
- S. Kasap, E. Elbasi, M. Dordevic. Design, Development, and Evaluation of a Mobile Application for Safety Engineers. In Journal of Infrastructure, Policy and Development vol. 8, No.12, 2024, DOI: https://doi.org/10.24294/jipd.v8i12.8107
- Safi, M. Dordevic, R. Attasi, F. Alhosban. An Accurate Brain Tumor Segmentation using Deep Learning. In 2023 9th International Conference on Information Technology Trends, ITT 2023, 10.1109/ITT59889.2023.10184247
- M. Dordevic, R. Tesic, S. Todorovic, M. Jokic, D. Kumar, Z. Stevic,and S. vrtagic. Development of Integrated Linear programming Fuzzy Rough MCDM Model for Production Optimization. In Axioms. Vol. 11, No. 10: 510, 2022, https://doi.org/10.3390/axioms11100510
- S.Vrtagic, E.Softic, M. Subotic, Z.Stevic, M. Dordevic, and M.Ponjavic. Ranking Road Sections Based on MCDM Model: New Improved Fuzzy SWARA (IMF SWARA). In Axioms. Vol. 10, No. 2: 92, 2021, https://doi.org/10.3390/axioms10020092
Dr Milan Dordevic’s research spans several key areas in computer science and artificial intelligence, including:
- Evolutionary Algorithms and Metaheuristics
Focused on solving complex combinatorial optimization problems such as the Traveling Salesman and Traveling Visitor Problems using hybrid genetic algorithms and grafted search techniques. - Artificial Intelligence and Machine Learning
Applied AI models for medical diagnostics (e.g., diabetic retinopathy detection), document-level event extraction, and predictive analytics in education. - Deep Learning and Neural Networks
Development of CNN, ANN, and RNN models for tasks such as image classification, brain tumor segmentation, and cardiac arrhythmia detection. - Misinformation Detection and Simulation
Research on identifying and mitigating the spread of fake news and misinformation online using simulation and semantic analysis. - Smart Systems and Applications
Includes mobile applications for safety engineers, intelligent transport systems, and AI-enabled infrastructure assessment. Research Grants and Funded Projects
Dr Dordevic has participated in and led several funded research projects, including:
- Document-Level Event Extraction (DEE) Tool for Children’s Safety
Funded by Higher Colleges of Technology – focused on predictive modelling using data from social services and law enforcement. - Detection and Classification of Diabetic Retinopathy with AI-Based Models
Funded by Higher Colleges of Technology – developed CNN-based diagnostic tools for early detection. - Combating Misinformation Online
Funded by American University of the Middle East – developed simulation models and authentication tools. - E-Health Projects
Funded by Slovenian Research Agency and EU Structural Funds – focused on ICT support for chronic disease treatment and cross-border healthcare systems. - Processing of Large LIDAR Data
Funded by Slovenian Research Agency – aimed at high-resolution geographic data analysis.
Dr Milan Dordevic has extensive experience in industry-oriented projects and consulting, particularly in the development of intelligent systems and web platforms. He has led and contributed to several commercial and research-based initiatives, including:
- Founder of MING (2006–2008): A firm focused on web design and business process optimization.
- Lead Developer and Consultant for multiple web portals (2006-2014):
- www.tvisitor.com – Optimization tool for city tours using AI algorithms.
- www.saputnik.net – Ride-sharing platform across the Balkans.
- www.kjeinkdaj.com, www.memorko.com, www.fijaker.eu, and www.bistrica.eu – Platforms ranging from cultural information systems to tourism and brain training applications.
Professional Affiliations
- Dr Dordevic is cooperating with several prestigious professional and academic organizations:
- IEEE (Institute of Electrical and Electronics Engineers) – Member 2009
- EURO (Association of European Operational Research Societies) – Member 2010
- ACM (Association for Computing Machinery) – Member 2010
- IET (Institution of Engineering and Technology) – Member2014
Dr Milan Dordevic teaches in School of Computer Science. His current role at the University of Wollongong in Dubai (UOWD) involves teaching in the CSCI218 Foundations of Artificial Intelligence course and supervising Bachelor’s and Master’s students on AI-related topics.
Specialist Teaching Areas:
- Artificial Intelligence & Machine Learning
- Including neural networks, searching, and AI applications in education and healthcare.
- Programming Languages
- C, C++, C#, Java, Python, and R, with a decade of experience in teaching and curriculum design.
- Systems and Architecture
- Teaching systems programming, operating systems, and IT architectures.
- Web Development
- Including HTML, CSS, JavaScript, and CMS platforms.
- Discrete Mathematics & Algorithm Design
- Focused on formal logic, combinatorics, graph theory, and optimization.
- Capstone Supervision & Project-Based Learning
- Guiding students through real-world projects, often in collaboration with industry partners
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