School of Computer Science and Electronic Engineering
ACADEMIC CAPABILITIES
University of Surrey
Overview
The School of Computer Science and Electronic Engineering (CSEE) at the University of Surrey, through its Computer Science department and the Institute for Communication Systems (ICS), has a strong track record of impactful research in the rail industry. This includes projects such as:
AGELink: Reducing knock-on rail delays with Network Rail and GWR.
Accessible Travel: Integrating data to enhance journeys for passengers with disabilities.
Real Time Flow (RTF): Predicting movement of trains, people, and goods using AI/ML, leading to a patent on efficient AI in constrained environments.
OJPA: Alternative travel planning using reinforcement learning, which led to the Moses Mobility spin-out for shared taxi rides for delayed passengers.
SAFRON: A secure shared communication network for trains, with partners like Network Rail and TRL.
APTd5G: Using ML to detect threats in 5G core networks, in collaboration with Amity University India.
TUDOR: Developing resilient and interoperable open networks for 5G and beyond, with applications in rail.
OneWeb: Extending 5G coverage via satellite to support reliable, high-coverage connectivity, particularly for rail.
UKRRIN status
UKRRIN Member
Member of the Centre of Excellence in Digital Systems (CEDS)
Fact File (2026-27)
10 Research staff
6 PhD students
25 Masters students
15 Publications
Capability matrix
CAPABILITY
CAPABILITY LEVEL
Easy to use for all
Accurate, accessible and understandable real-time information
Smart fare collection
Accessible to all
Multi-modal integrated journeys
Reliable and fast on-board connectivity
Freight friendly
Increased network access for freight
Safer freight operations and better asset management
Enable greater intermodality and access for freight customers
Greater asset utilisation and reduced freight journey times
Low carbon freight and On Track machines
Low emissions
Efficient new electrificaiton
Zero carbon self-powered vehicles
Low carbon freight and On Track machines
Intelligent energy management
Cleaner air
Quieter railway
Lowering embodied carbon of key material
Optimised train operations
Infrastructure and train capabilities to overcome capacity constraints
Simpler and safer real-time operations and decisions
Improved recovery from incidents and disruptions
Reliable and flexible train planning
More affordable solutions for lower-use lines
Efficient and reliable - infrastructure
“Right-time” actionable insights on infrastructure conditions
Efficient, effective and safe infrastructure maintenance
Improved resilience of infrastructure to climate change and extreme weather events
Speed up and de-risk introduction of infrastructure assets
Proactive management of infrastructure obsolescence
Efficient and reliable - rolling stock
“Right-time” actionable insights on rolling stock conditions
Efficient, effective and safe rolling stock maintenance
Improved resilience of rolling stock to climate change and extreme weather events
Speed up and de-risk introduction of rolling stock assets
Proactive management of rolling stock obsolescence
Efficient and reliable - interfaces
Improved vehicle/track interaction
Improved pantograph/overhead line interaction
Improved utilisation of constrained space
Improved whole system resilience
Data driven
Advanced computing
Advanced data analytics techniques
Data governance and standardisation
Data integration
Effective innovation culture
System and network models
Pro-innovation legal and regulatory frameworks
Testing, homologation, cross acceptance
Technically talented workforce
Job design and human performance
Workforce development and training
Workforce selection
Safety and health
Safety assessment and evaluation
Cyber security
Fitness for duty and health assessment
Competitiveness
Demand forecasting
Cost modelling
Social value
Research Group key contacts
Name: Prof Helen Treharne, SFHEA, FBCS, Head of School of Computer Science and Electronic Engineering; Professor in Computer Science
Email: h.treharne@surrey.ac.uk
Name: Dr Donya Hajializadeh, Associate Professor of Structural Engineering
Email: d.hajializadeh@surrey.ac.uk
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