Monday 16th March
9:00-10:30 - Keynote Speech - Prof Hamada Rizk
Trustworthy Mobility: Designing Cyber-Physical Intelligence People Can Trust
Abstract: Mobility systems are evolving into large-scale cyber-physical infrastructures that continuously sense, learn from, and act upon human movement. From indoor positioning and activity recognition to ride sharing and shared urban services, these systems increasingly shape how people interact with buildings, campuses, and cities. As intelligence becomes pervasive, trust in sensing, learning, and data use emerges as the central challenge for sustainable deployment.This talk presents a vision for trustworthy cyber-physical mobility systems, arguing that trust must be designed holistically across the entire pipeline rather than addressed at isolated stages. We begin at the sensing layer, highlighting privacy-conscious modalities such as LiDAR and wireless sensing, which enable rich spatial and behavioral understanding without directly capturing identifiable visual information. This reflects a broader shift toward responsible sensing as a foundational design principle. We then examine learning and collaboration in distributed mobility ecosystems, where federated learning and GenAI enable collective intelligence while keeping raw data at the source. While promising, such approaches are not inherently safe, as threats such as membership inference attacks expose subtle privacy leakages even in decentralized settings. These challenges reveal a fundamental utility–privacy trade-off that future mobility systems must explicitly manage. Finally, the talk highlights transparency and visualization as key enablers for making cyber-physical intelligence observable and interpretable, outlining a path toward mobility systems that are intelligent, resilient, and worthy of long-term trust.
10:30-11:00 Coffe Break
11:00-12:30 Machine Learning for Urban Systems
Saurabh Agrawal; Prakash Tekchandani; Ashok Kumar Das; Shantanu Pal; Rohit Verma, "Secure and Trusted Authentication for AI-Driven Infrastructure Reporting Problems in Smart City"
Kelvin Olaiya; Manuel Andruccioli; Giovanni Delnevo; Paola Salomoni; Silvia Mirri; Pietro Manzoni, "Evaluating Classical Machine Learning Models for Road Surface Classification on Resource-Constrained Microcontrollers"
Muhammad Haris Kaka Khel; Kevin Meehan; Paul Greaney; Marion McAfee; Sandra Moffett, "CHG-Net: A Unified Direction-Aware Graph Framework for Multi-Class Trajectory Prediction"
14:00-15:30 Crowdsensing and Platforms
Hao Che; Lin Sun; Zhijun Wang; Hong Jiang, "DSSP: An SLO-aware Multi-Domain-based Sensing-as-a-Service Platform"
Nikolaos Nektarios Sakellion; Thanasis G. Papaioannou, "An Incentive-Compatible Crowdsensing Framework for Verifiable Accessible Routes"
Inga Lange; Juliane Namneck; Lennart Bengtson; Philipp Kisters; Janick Edinger, "Beyond the Beaten Path: Using Gamification to Expand Urban Crowdsensing Coverage"
Michael Sünkel; Nikolai Kulczak; Leonie Ackermann; Debasree Das; Katharina Ebner; Oleksandr Huba; Faizan Hussain; Daniela Nicklas, "Towards Trustworthy Crowdsensing: Simulating OpenBikeSensor Data Collection with SUMO"