Miljan Vucetic  | Computer Science and Artificial Intelligence | Best Researcher Award

Published on by Computer Scientists Awards

Best Researcher Award

Miljan Vucetic
Vlatacom Institute,Serbia

Miljan Vucetic
Affiliation Vlatacom Institute
Country Serbia
Scopus ID 59022569000
Documents 32
Citations 185
h-index 8
Subject Area Computer Science and Artificial Intelligence
Event Computer Scientists Awards
ORCID 0000-0002-4362-6201

Miljan Vucetic is a Serbian computer scientist, artificial intelligence researcher, and technology leader associated with the Vlatacom Institute. His academic and industrial activities span artificial intelligence, machine learning, intelligent systems, sensor networks, distributed consensus algorithms, cybersecurity, and data analytics. Through appointments in higher education and research institutions, he has contributed to the advancement of applied artificial intelligence and intelligent computing technologies. His scholarly profile includes peer-reviewed publications, technical innovations, and interdisciplinary collaborations addressing contemporary challenges in computer science and engineering.[1]

Abstract

This article presents an overview of the academic achievements, research activities, and scientific contributions of Miljan Vucetic. His work integrates artificial intelligence methodologies with practical applications in networking, distributed systems, intelligent sensing, and data-driven decision making. Through scholarly publications, technological solutions, and leadership roles in research organizations, he has contributed to advancing the field of computer science and artificial intelligence.[2]

Keywords

Artificial Intelligence, Computer Science, Machine Learning, Sensor Networks, Reinforcement Learning, Data Mining, Fuzzy Logic, Intelligent Systems, Consensus Algorithms, Research Excellence.

Introduction

Miljan Vucetic completed a Ph.D. in Computer Science at the Faculty of Organizational Sciences, University of Belgrade. He subsequently developed a multidisciplinary research career connecting academic scholarship with industrial innovation. His professional appointments include positions at Vlatacom Institute, Singidunum University, and VSB – Technical University of Ostrava, where he has participated in teaching, research supervision, and advanced technology development.[3]

Research Profile

As Artificial Intelligence Technology Lead at the Vlatacom Institute, Vucetic has focused on designing intelligent computational frameworks applicable to real-world environments. His research interests encompass machine learning, fuzzy systems, intelligent transportation, distributed consensus mechanisms, cybersecurity-related applications, and heterogeneous network architectures. These topics align with emerging priorities in contemporary digital transformation initiatives.[1]

Research Contributions

Among his notable contributions are studies on fuzzy-guided exploration for multi-agent reinforcement learning in traffic signal control, advanced pattern mining techniques using statistical and fuzzy logic methods, secure randomness generation systems, and adaptive asynchronous gossip algorithms for heterogeneous sensor networks. He has also contributed to applied artificial intelligence solutions involving camera self-calibration technologies and intelligent networked systems.[4]

Publications

  • Fuzzy-Guided Exploration for Multi-Agent Reinforcement Learning in Traffic Signal Control (2026).
  • The Synergy of Statistical and Fuzzy Logic Approaches in Mining Patterns from Peer-to-Peer Lending Data (2026).
  • Synthesis of Sources of Common Randomness Based on Keystream Generators with Shared Secret Keys (2025).
  • Adaptive Asynchronous Gossip Algorithms for Consensus in Heterogeneous Sensor Networks (2025).
  • Artificial Intelligence-Based Camera Self-Calibration Software Solution for Heterogeneous Fixed and Mobile Networks (2025).

Research Impact

With 32 indexed documents, 185 citations, and an h-index of 8, Vucetic has established a measurable scholarly presence within the international computer science community. His publications have contributed to discussions on artificial intelligence deployment, intelligent networking systems, and advanced computational methodologies. The combination of academic productivity and practical technology development demonstrates sustained engagement with research excellence.[1]

Award Suitability

Miljan Vucetic’s record of scientific publication, technological innovation, academic leadership, and interdisciplinary collaboration supports consideration for the Best Researcher Award. His contributions reflect ongoing efforts to bridge theoretical computer science with practical artificial intelligence applications while maintaining active participation in research, education, and industrial development.[5]

Conclusion

The professional accomplishments of Miljan Vucetic illustrate a balanced combination of academic scholarship, research leadership, and technological innovation. His work in artificial intelligence and computer science continues to contribute to the development of intelligent systems and advanced computational solutions, making him a notable researcher within his field.

References

  1. Elsevier. (n.d.). Scopus author details: Miljan Vucetic, Author ID 59022569000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59022569000
  2. ORCID. (n.d.). Miljan Vucetic Research Profile.
    https://orcid.org/0000-0002-4362-6201
  3. University of Belgrade. Doctoral Studies in Computer Science.
  4. Vucetic, M. (2026). Fuzzy-Guided Exploration for Multi-Agent Reinforcement Learning in Traffic Signal Control. Mathematics.
    https://doi.org/10.3390/math14111942
  5. Vucetic, M. (2026). The Synergy of Statistical and Fuzzy Logic Approaches in Mining Patterns from Peer-to-Peer Lending Data. Expert Systems with Applications.
    https://doi.org/10.1016/j.eswa.2025.129308
  6. Vucetic, M. (2025). Adaptive Asynchronous Gossip Algorithms for Consensus in Heterogeneous Sensor Networks. IEEE Internet of Things Journal.
    https://doi.org/10.1109/JIOT.2025.3559242

Omar Soufi | Artificial Intelligence | Best Researcher Award

Published on by Computer Scientists Awards

Dr. Omar Soufi | Artificial Intelligence | Best Researcher Award

Doctorate, Mohammed V University of Rabat Mohammadia School of Engineering, Morocco

👨‍💼 Dr. Omar Soufi is a distinguished Computer Science Engineer specializing in Artificial Intelligence, Data Science, Remote Sensing, and Geographic Information Systems (GIS). With a robust background in data analysis and decision-support systems, Dr. Soufi excels in promoting organizational advancements and enhancing strategic performance through well-planned recommendations. His proactive and industrious approach ensures the achievement of objectives by leveraging data-driven insights.

Profile

ORCID

Education

🎓 Dr. Omar Soufi earned his Ph.D. in Computer Science Engineering with a focus on Artificial Intelligence from EMI Rabat in 2023, completing his doctoral research with the AMIPS/E3S team. He also holds a degree in Engineering from Polytechnique Grenoble, ENSIMAG, and EMI Rabat, specializing in Information Systems Engineering and Software Quality Engineering, respectively. His foundational studies include a Diploma and a Bachelor’s degree in Mechanical Engineering from ARM Merkèns.

Experience

💼 Dr. Soufi’s professional journey includes notable roles such as Project Manager in the IT Department, Team Leader at the Decision Support Center, Head of the BI & Decision Tools Department, Head of the Geomatics & Decision Tools Division, and AI Mission Manager. His expertise spans numerous projects in artificial intelligence and data science, including the development of national geospatial platforms, disaster risk management systems, and SaaS solutions for real estate asset management and financial risk analysis.

Research Interests

🔍 Dr. Soufi’s research focuses on applying deep learning techniques to satellite image super-resolution and spacecraft attitude control. His interests extend to big data architecture, distributed systems, and geospatial data analysis, aiming to enhance the accessibility and quality of high-resolution satellite imagery.

Awards

🏆 Dr. Soufi has been recognized for his contributions to artificial intelligence and remote sensing. He has received certifications in various professional and personal development areas, including PMO, coaching, and personal development, further solidifying his expertise and commitment to excellence in his field.

Publications

📄 Study of deep learning-based models for single image super-resolution. Soufi, O., Belouadha, F.Z. (2022). Revue d’Intelligence Artificielle, Vol. 36, No. 6, pp. 939-952. https://doi.org/10.18280/ria.360616

📄 FSRSI: New deep learning-based approach for super-resolution of multispectral satellite images. Soufi, O., Belouadha, F.Z. (2023). Ingénierie des Systèmes d’Information, Vol. 28, No. 1, pp. 113-132. https://doi.org/10.18280/isi.280112

📄 Deep learning technique for image satellite processing. O. Soufi and F.Z- Belouadha. Intell Methods Eng Sci, vol. 2, no. 1, pp. 27–34, Mar. 2023.

📄 Enhancing Accessibility to High-Resolution Satellite Imagery: A Novel Deep Learning-Based Super-Resolution Approach. O. Soufi and F.Z- Belouadha. Journal of Environmental Treatment Techniques, 11(2), 44-49, 2023.

📄 An intelligent deep learning approach to spacecraft attitude control: the case of satellites. O. Soufi and FZ.- Belouadha. (2023). (Under Review)