Towards Sustainable Mobility: Intelligent Transportation Engineering for a Greener Future
The IEEE UK and Ireland Women in Engineering Affinity Group and the IEEE UK and Ireland Intelligent Transportation Systems Society (ITSS) Chapter invite you to participate in a technical, inspirational, and empowering session: The 14th Early Career Talks.
This highly anticipated event, taking place around International Women's Day in March 2025, showcases cutting-edge research and Innovation while fostering connections between academia, industry, and government to promote economic and social development.
Dive into the latest advancements in Intelligent Transportation Systems to enhance sustainability, reduce emissions, and support resilient, eco-friendly mobility solutions.
Date and Time
Location
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Registration
- Date: 07 Mar 2025
- Time: 11:45 AM UTC to 01:45 PM UTC
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- Starts 24 February 2025 10:15 AM UTC
- Ends 07 March 2025 11:45 AM UTC
- No Admission Charge
Speakers
Sana Hafeez
Securing the Skies: AI-Driven Quantum-Resilient Cybersecurity for UAV Networks and Smart Healthcare
The evolution of 6G-enabled UAV networks is transforming smart healthcare, emergency response, and critical infrastructure, necessitating advanced security mechanisms to counter emerging cyber threats. Increasing autonomy and interconnectivity expose UAV-assisted medical logistics and real-time health monitoring to sophisticated attacks, including data breaches, jamming, and adversarial intrusions. This talk presents a multi-layered cybersecurity framework integrating AI-driven threat detection, blockchain-enabled trust models, and post-quantum cryptography to enhance resilience. Leveraging Physical Layer Security (PLS), federated learning, and AI-powered formal verification, the proposed architecture ensures secure, adaptive, and autonomous UAV operations. Insights from the Secure-Sense and 6G-FINESSE projects will highlight next-generation security solutions, advancing UAV ecosystems towards self-healing, cyber-resilient, and intelligence-driven infrastructures in the 6G era.
Email:
Address:Queen Mary University of London, , London, England, United Kingdom
Assemgul Kozhabek
What 35 Cities’ Road Networks Teach Us About Urban Complexity?
This talk examines urban complexity through the multi-scale analysis of road networks in 35 densely populated cities worldwide, with a focus on how these networks can inform sustainable mobility strategies. At the macro-scale, cities like São Paulo and Calcutta showed efficiency correlations, suggesting that robust road networks can improve mobility and reduce congestion, both critical for creating greener, more sustainable urban spaces. At the meso-scale, cities such as Shanghai and Dhaka exhibited polycentric urban forms with strong community structures, which could inform decentralized transportation systems that minimize travel distances, reduce emissions, and encourage the use of public transportation. Finally, at the micro-scale, cities like Quanzhou and Chongqing revealed network features like T-shaped junctions and power-law distributions in centrality, which can help identify critical infrastructure nodes for smarter traffic management and optimized flow, reducing congestion and energy consumption. These insights are crucial for implementing autonomous vehicles and improving urban mobility planning, ensuring smoother integration, optimized traffic flow, and reduced emissions for greener, more sustainable cities.
Email:
Address:Bournemouth University, , Bournemouth, England, United Kingdom, BH12 5BB
Jiaying Guo
Optimizing Urban Traffic for Sustainability: AI-Driven Adaptive Traffic Control
Urban traffic congestion remains a critical challenge to sustainable mobility, reducing efficiency and increasing emissions. Traditional adaptive traffic control systems (e.g., SCATS, SCOOT) rely on pre-programmed rules and limited sensor data, making them insufficient in rapidly changing traffic conditions. This talk introduces CoTV, a Deep Reinforcement Learning (DRL)-based method to cooperatively control traffic signals and Connected Autonomous Vehicles (CAVs) speed. Unlike existing systems, CoTV dynamically adapts to real-time traffic patterns while handling mixed-autonomy environments with varying CAV penetration rates. By leveraging scalable multi-agent DRL models, CoTV addresses large-scale urban deployment challenges. Simulations on Dublin’s urban road network show its potential to reduce travel time, lower emissions, and enhance road safety, contributing to a greener and more sustainable transportation system.
Email:
Address:University College Dublin, , Dublin, Dublin, Ireland
Reem Bashir
Evaluating Intrusion Detection Systems in Intelligent Transportation for Secure and Sustainable Mobility
Increasing integration of electronic components in modern vehicles enhances connectivity but also introduces cybersecurity vulnerabilities. As vehicle systems evolve, ensuring cybersecurity resilience is essential to support sustainable mobility. UN Regulation 155 mandates manufacturers to ensure cybersecurity across the vehicle’s lifecycle. Intrusion Detection Systems (IDS) are critical for monitoring and mitigating threats in in-vehicle networks, such as CAN. However, a robust evaluation framework is lacking. This research develops a systematic framework to assess IDS performance before deployment, aligning with industry standards. By addressing gaps in IDS assessment, this work enhances cybersecurity resilience, ensuring secure and efficient in-vehicle communication for future mobility.
Email:
Address:Horiba Mira Ltd, , United Kingdom, CV10 0TU
Agenda
| Speaker | Title |
| Nagham Saeed | Opening Introduction to IEEE UK & Ireland WIE AG and ITSS |
| Reenu Mohandas | Introduction to IEEE UK & Ireland ITSS Student Branch |
| Sana Hafeez | Securing the Skies: AI-Driven Quantum-Resilient Cybersecurity for UAV Networks and Smart Healthcare |
| Assemgul Kozhabek | What 35 Cities' Road Networks Teach Us About Urban Complexity? |
| Jiaying Guo | Deep Reinforcement Learning for Adaptive Traffic Control in Sustainable Urban Mobility |
| Reem Bashir | Evaluating Intrusion Detection Systems in Intelligent Transportation for Secure and Sustainable Mobility |
| Gunny Dhadyalla | Introduction to AESIN |
| Nagham Saeed | Coming Events and Closure |