Journal of Artificial Intelligence and Digital Health

Dr. Fayzullo Makhmadiyarovich Nazarov is a PhD in Technical Sciences (Computer Science) and currently serves as the Dean of the Faculty of Intelligent Systems and Computer Technologies at Samarkand State University, Uzbekistan. He has extensive academic and administrative experience, including serving as Head of multiple departments such as Information Technology and Artificial Intelligence & Information Systems. His expertise spans machine learning, artificial intelligence, blockchain technologies, quantum algorithms, distributed computing, and data reliability. He has completed multiple international internships in China, Russia, India, and Malaysia. Dr. Nazarov has authored numerous scientific publications across reputable international journals and conferences (IEEE, Springer, IG-Global, Sensors, etc.) and has led national innovation projects focusing on AI, cryptography, and automated information systems.

• Artificial Intelligence
• Cryptographic Methods
• Big Data Processing
• Quantum Algorithms
• Data Reliability
• Distributed Systems
• Blockchain Technologies
• Machine Learning

1. Dean of Faculty (AI and Computer Technologies)
2. Former Department Head (AI & Information Systems, Information Technologies)
3. Participation in large-scale government-funded innovation projects
4. International internships (China, Russia, India, Malaysia)
5. Active researcher with Scopus h-index: 11
6. Publications in Q1/Q2 journals and IEEE/Springer conferences

1. Determining the Number of Effective Distributions Based on Neural Network Ensemble (2025)
2. Real-Time Big Data Processing Based on Distributed Computing Mechanism (2023)
3. Same Size Distribution of Data Using Unsupervised Clustering (2023)
4. Increasing Data Reliability Using Distributed Parallel Blockchain Technologies (2023)
5. Information Reliability in Big Data & Blockchain (IEEE, 2021)
6. Real-Time Fatigue Detection Using Machine Learning (Sensors, 2024)
7. Cryptographic Methods Applied to Blockchain (2022)
8. Effectiveness Analysis of Blockchain Mechanisms (2022)
9. Analyzing Effectiveness of Ensemble Methods in Multi-Class Classification (IEEE, 2025)
10. Improving Reliability via Cryptographic Methods (2020)
11. Implementing Blockchain for Data Processing Systems (2019)
12. Video Data Processing Methodology (2022)