About
Alina Patelli is a Senior Lecturer in Applied AI & Robotics at Aston University's School of Computer Science and Digital Technologies. Her research focuses on computational intelligence approaches for urban transportation systems, particularly evolutionary computation and transfer learning applications in traffic modeling and prediction.
Key research areas include genetic programming for traffic pattern recognition, symbolic regression for transport decision-making, and deep learning integration with evolutionary algorithms. She also investigates educational methodologies for digital apprenticeships and work-based learning in technology fields.
Patelli's recent publications demonstrate strong engagement with industry stakeholders including Birmingham City Council and the Department for Transport. Her projects aim to optimize urban infrastructure through predictive algorithms that address traffic congestion, pollution, and sustainable mobility solutions.
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