Overview

Issues Dealt With
•    Fragmentation of data and systems in rail networks
•    Slow and manual response to disruptions
•    Safety and reliability challenges in inspection and maintenance
•    Accessibility and passenger experience gaps
•    The need for compliance, governance, and traceability in AI-driven decision

Learning outcomes

• How can multi-agent AI systems address the limitations of siloed rail operations?
• What are the benefits of integrating robotics and edge intelligence in transportation?
• How does agentic AI support resilience and adaptability in the face of disruptions?
• What policy frameworks and national strategies are shaping AI adoption in transport?
• How can interoperability and responsible deployment be achieved in complex rail environments?
• What practical use cases demonstrate the value of agentic AI in network planning, infrastructure management, and passenger experience?

Who is this event for?

• Technical Directors, CTOs, and CIOs: Senior leaders responsible for technology strategy and implementation.
• AI & Data Scientists: Specialists in AI, machine learning, and data analytics.
• Operations Managers & Planners: Professionals overseeing network planning, scheduling, and disruption management.
• Policy Makers & Regulators: Individuals shaping national and sector-specific AI and transport policies.
• Innovation Managers & R&D Leads: Those driving pilot projects, research, and the adoption of new technologies.
• Digital Transformation Leads: Champions of interoperability, integration, and modernisation initiatives.

Speaker

Neda Naghshbandi - Technical Director, AtkinsRealis Neda Naghshbandi is Technical Director at AtkinsRéalis, where she leads AI strategy and delivery across transport and critical infrastructure. Her work pioneers agentic (multi‑agent) AI, robotics, and edge intelligence, integrated with digital twins, to enable coordinated, resilient, and passenger‑centric operations.  A speaker at international events and a contributor to rail AI advisory initiatives, Neda blends systems thinking with responsible AI governance to design interoperable, human‑in‑the‑loop solutions. She holds a PhD in complex adaptive systems and collaborates across industry and academia to turn advanced AI into measurable operational impact.

Record your CPD

CPD is defined as any activity that provides new knowledge or skills that help you to achieve your professional development goals or has otherwise helped you to develop as a highways and transportation professional

Plan, record and manage your CPD for free at CIHT Learn.

Need help with getting the most out of your CPD access CIHT’s CPD Guidance here.