Journal of AI, Data Science and Cyber Systems

I am a Research Scientist specializing in Artificial Intelligence, Machine Learning, and Cybersecurity Analytics, with research interests in medical image analysis, intelligent decision-support systems, and data-driven predictive modeling. I am currently pursuing a Master of Science in Computer Science at California State University, Los Angeles, USA, where my research focuses on developing advanced deep learning and computational intelligence techniques for real-world applications in healthcare, cybersecurity, and financial analytics.

I have authored multiple peer-reviewed research articles published in internationally recognized journals and conference proceedings, including IEEE, Elsevier, Springer Nature, MDPI, and other indexed publishers. My research work spans deep learning, Bayesian neural networks, explainable artificial intelligence, anomaly detection, computer vision, and secure intelligent systems, with an emphasis on building reliable, interpretable, and scalable AI models for complex real-world problems.

I am also the inventor of a UK-granted patent in artificial intelligence–based data-processing technology, reflecting my commitment to innovation and applied research. In addition to my research publications, I actively serve as a peer reviewer for several international scientific journals, including PLOS ONE, Biomedical Signal Processing and Control (Elsevier), Computers & Electrical Engineering (Elsevier), Discover Artificial Intelligence (Springer Nature), and the Journal of Alzheimer’s Disease (SAGE). Through my reviewing activities, I contribute to maintaining high standards of scientific quality and integrity in artificial intelligence and data science research.

I am a member of IEEE and Sigma Xi – The Scientific Research Honor Society, and my long-term goal is to advance trustworthy, secure, and intelligent artificial intelligence systems that can address real-world challenges across healthcare, cybersecurity, and intelligent automation. As a member of the Editorial Board, I aim to support rigorous peer-review practices, promote high-quality scientific publications, and encourage innovative and interdisciplinary research in artificial intelligence, machine learning, and computational intelligence.

• Artificial Intelligence; Machine Learning; Deep Learning; Computer Vision; Medical Image Analysis; Cybersecurity Analytics; Explainable Artificial Intelligence (XAI); Bayesian Neural Networks; Anomaly Detection; Predictive Modeling; Intelligent Decision-Support Systems; Computational Intelligence; Data Mining; Secure and Trustworthy AI; Pattern Recognition.