In this article, I reflect on the evolution of AI, its growing influence across industries and society, and share both scientific and personal perspectives on the promises and complexities of our digital era.

In this piece, I was featured in the Bayesian Network Modelling Association (BNMA) Newsletter for my work on applying Bayesian networks in the financial domain. The spotlight highlights my participation in the 15th BNMA Conference, where I was recognized with the Best Student Prize for my research. I also introduced CausalReinforceNet—a hybrid AI framework that combines Bayesian networks and reinforcement learning to analyze cryptocurrency price movements.

In this article, I explore the growing cybersecurity threats facing small and medium-sized enterprises (SMEs), discussing why they are frequent targets, the challenges they encounter, and practical strategies to strengthen their resilience.

I was interviewed by a major weekly newspaper about my mobile app dedicated to Omar Khayyam, the renowned poet and philosopher. Developed over 18 months, the app blends cultural content with mobile technology and was recognized as a unique contribution to educational tools and innovation.

In this study, we applied ML techniques—including Grey models for small datasets and ARIMA—to forecast community diversity in Australia based on country of birth, language, and religion. The work highlights how AI can aid social planning while addressing the challenges of modeling cultural and demographic change over time.