Dr. Luciano Alessandro Ipsaro Palesi
Department of Information Engineering (DINFO), University of Florence — DISIT Lab, Florence, Italy
AI-Enabled Urban Digital Twins for Adaptive Smart Mobility: From Data to Intelligent Traffic Control
About the keynote
Cities can turn fragmented urban data into adaptive traffic decisions only when AI is grounded in an executable Digital Twin. This keynote presents a data-driven approach to smart mobility, from urban data integration and traffic-state reconstruction to simulation and validation of intelligent traffic control.
It compares multi-objective optimization and Deep Reinforcement Learning for traffic-signal control, considering performance, interpretability, scalability, adaptability, and computational cost. Real-world examples from Florence and the Snap4City ecosystem show how AI-enabled Digital Twins can support more responsive urban mobility.
About the speaker
Dr. Ipsaro Palesi is a Research Fellow at the University of Florence and a member of DISIT Lab. His research spans Artificial Intelligence, Machine Learning, Digital Twins, decision-support systems, and smart and sustainable mobility. He has contributed to European and national projects in urban analytics and intelligent transportation, with work on traffic optimization, multi-agent deep reinforcement learning, and Smart City platforms.
Dr. Neelu Nagpal
Professor, Electronics & Communication Engineering Department, Maharaja Agrasen Institute of Technology, New Delhi; Senior Member, IEEE
Deep Learning for Power Quality Disturbance Detection and Localization
About the keynote
Smart cities depend on clean, reliable power, but growing renewable generation and power-electronic loads make power quality disturbances (PQDs) more frequent and harder to distinguish. This keynote explores how deep learning can detect and classify these disturbances, from representing waveforms as images to automated feature learning.
It examines the classification of single and multiple disturbances, their localization without complex signal-processing stages, and comparisons of alternative techniques for accurate estimation under noisy conditions. The talk closes with implications for smart meters and city-scale grid monitoring.
About the speaker
Dr. Neelu Nagpal is a Professor in the Electronics & Communication Engineering Department at Maharaja Agrasen Institute of Technology, New Delhi, and a Senior Member of IEEE. Her research spans stochastic and nonlinear control, state estimation, smart grid technologies, renewable energy integration, and artificial intelligence.
Preliminary Speaker Lineup
Speaker notifications will be issued on October 22, 2026, with confirmations due by October 26, 2026. The preliminary lineup of confirmed speakers and session titles will be published on November 5, 2026.