Advancing the frontiers of artificial intelligence, data science, and smart city technologies through innovative research and practical applications that solve real-world problems.
Developing intelligent algorithms and systems that can learn, adapt, and make decisions in complex environments.
Extracting meaningful insights from large datasets to drive informed decision-making and predict future trends.
Creating intelligent urban infrastructure that improves quality of life through connected devices and data-driven solutions.
Enabling machines to interpret and understand visual information from the world around them.
Srimal Fernando, Dr. A. Researcher, Dr. B. Collaborator
International Conference on AI and Smart Cities 2025
This paper presents a novel approach to traffic light optimization using computer vision techniques and machine learning algorithms to analyze real-time traffic density and adapt signal timing accordingly.
Srimal Fernando, Dr. C. Supervisor
Journal of Urban Technology and Innovation
An exploration of how big data analytics and machine learning can inform urban planning decisions, focusing on infrastructure development and resource optimization.
Srimal Fernando, Research Team
International Conference on Machine Learning Research
This work introduces new optimization methods for training deep neural networks, achieving faster convergence and improved performance on benchmark datasets.
Developing next-generation traffic management systems using advanced AI and IoT technologies.
Research into novel techniques for improving the efficiency and accuracy of deep learning models.
Exploring how big data analytics can transform organizational decision-making processes.
Interested in collaborating on AI research, data science projects, or smart city innovations? Let's explore how we can work together to advance the boundaries of technology.