Speakers
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Mohamad Izwan Hussien
Mohamad Izwan Hussien is a key team member in TNB Distribution’s Analytics Project Unit in Malaysia, where he plays a vital role in developing AI and machine learning solutions for predictive maintenance and asset intelligence. His responsibilities include ensuring that every analytics project is technically accurate, operationally relevant, and closely aligned with TNB Distribution’s real-world field operations. By integrating operational data, IoT sensors, and geospatial analytics, his work supports real-time decision-making and strengthens long-term asset resilience. At ENLIT Asia 2025, Izwan will share insights from his presentation on Predictive Geospatial Analytics for Enhancing Reliability of MV Overhead Line Systems in Tropical Utility Networks, showcasing TNB’s practical, field-driven analytics strategies. He contributes to innovative projects in image analytics, partial discharge detection, and health index modeling, helping drive data-driven transformation across Malaysia’s power grid while addressing the unique challenges of Southeast Asia’s tropical climate.
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11-Sep-2025KNOWLEDGE HUB THEATRE 3Predictive Geospatial Analytics for Enhancing Reliability of MV Overhead Line Systems in Tropical Utility Networks
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