Machine Learning Models

Create AI models to predict and prevent equipment failures in buses, trains, and taxis, ensuring uninterrupted service. Use machine learning algorithms to analyze traffic patterns and passenger data, optimising routes for efficiency and reducing travel time. Implement AI-driven solutions to provide real-time updates and personalized services, improving overall passenger satisfaction. Analyse large datasets from various transport systems to derive actionable insights that enhance operational decision-making. Develop AI models that optimise energy use and reduce emissions, contributing to Malaysia's environmental sustainability goals.

Collect and analyse data on passenger behavior and travel patterns to improve service planning and passenger experience. Use data analytics to optimise bus, train, and taxi operations, including route planning, scheduling, and resource allocation. Develop predictive models to forecast maintenance needs and prevent equipment failures, ensuring reliability and safety. Provide data-driven insights to support strategic decision-making and policy development for public transport authorities. Analyse environmental data to support sustainability initiatives, such as reducing emissions and improving energy efficiency in public transport systems.

1. Implement and manage security measures across the software development lifecycle in telecommunications 2. Analyse and respond to security threats and vulnerabilities in telecommunications systems 3. Automate security processes and integrate security tools into the CI/CD pipeline 4. Ensure secure and compliant deployment of telecommunications applications and infrastructure 5. Incorporate security management and privacy requirements into telecommunications hardware, software, and applications 6. Collaborate with development, operations, and security teams to enhance the security posture of telecommunications systems