Saumya Bhatnagar

Saumya Bhatnagar is a Researcher affiliated with the School of Computing and Engineering and the Centre for Autonomous and Intelligent Systems at the University of Huddersfield. Their work focuses on Artificial Intelligence applications in urban traffic systems, machine learning, and high-performance computing. Key areas of expertise include traffic signal optimization, autonomous systems, and data-driven mobility solutions.

Research interests prominently feature AI planning for urban challenges, real-time traffic control, and sensor data fusion. Recent publications emphasize applying AI techniques to solve transportation problems such as autonomous bus routing and traffic data consistency assessment. The work contributes to UN Sustainable Development Goals related to smart cities and sustainable infrastructure.

Active in presenting at international conferences, Bhatnagar has discussed topics including Waze data insights, MaaS governance in Beijing, and customized bus demand prediction. Their research bridges theoretical AI advancements with practical urban mobility solutions, leveraging interdisciplinary approaches to address 21st century urban challenges.