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Centre for Computational Intelligence

Overview

The Centre for Computational Intelligence (CCI), established in 1995, has become a centre of excellence with an established international reputation. The Centre exists to develop fundamental theoretical and practical solutions to real world problems using a variety of computational intelligence paradigms, including evolutionary computation, fuzzy logic, artificial neural networks, robotics and bio health informatics. The Centre can provide benefits for a wide number of sectors, including the data management, defence, health, logistics, security and video gaming sectors.

Current projects include; Evolutionary Computation for Dynamic Optimisation in Network Environments (ECDONE), an EPSRC project studying evolutionary computation methods for solving dynamic optimisation problems in different networks (including rail networks), in collaboration with the University of Birmingham, Rail Safety and Standards Board (RSSB) and Network Rail; Evolutionary Computation for Optimised Rail Travel (EsCORT), working in collaboration with Go Travel Solutions, specialising in assisting businesses to develop sustainable travel solutions, covering people and goods; and a Knowledge Transfer Partnership with BGlobal to develop a new generation of Smart Meters.

Key features

The Centre for Computational Intelligence can provide business assistance in a number of computational intelligence areas, including:
  • Multi-objective optimisation
  • Dynamic or real-time optimisation
  • Devising bespoke embedded hardware and software solutions
  • Data Mining
  • Crowd models and simulations
  • Bio-health informatics
  • Video analytics
  • Robotics
  • Eye Gaze: A unique assistive technologies solution
  • Intelligent Transport Systems
  • Intelligent systems for video games
  • Intelligent web systems
  • Intelligent communications networks

Benefits

The Centre can offer businesses:

  • Advanced computational intelligence techniques to optimise complex processes and control parameters resulting in efficient optimisation of large, complex, non-linear problems
  • Advanced modelling techniques through computational intelligence paradigms which have the ability to model processes and concepts not expressed by mathematical techniques
  • Improved decision making in planning, forecasting or real life situations

Our experts

Prof Shengxiang Yang- Director

Dr Mario Gongora- Deputy Director

Dr Samad Ahmadi- Reader. Also affiliated with The Virtual Reality and Assisted Living (ViR.AL) Research Group

Dr Marie Bassford- Senior Lecturer

Dr Jenny Carter- Principal Lecturer. Also affiliated with DIGITS

Prof Fancisco Chiclana- Professor

Dr Simon Coupland- Senior Research Fellow

Dr David Elizondo- Reader. Also affiliated with DIGITS and the Cyber Security Centre Research Group.

Prof Eric Goodyer- Professor in Instrumentation. Also affiliated with DIGITS, Cyber Security Centre and the Advanced Manufacturing Processes and Mechatronics Centre (AMPMC)

Mr Howell Istance- Principal Lecturer

Dr Ian Kenny- Lecturer

Dr Michalis Mavrovouniotis- Research Fellow

Ms Armagham Moemeni- Senior Lecturer

Prof Ferrante Neri- Professor

Dr Benjamin Passow- Lecturer. Also affiliated with DIGITS

Dr Yingjie Yang- Reader. Also affiliated with DIGITS

Dr Sarah Greenfield- Research Fellow. Also affiliated with DIGITS

Dr Jethro Shell- Research Fellow

Dr Ahmet Orun- Lecturer

Delivery

The Centre for Computational Intelligence robotics platforms offers opportunities to test hardware, software and algorithms in controlled environments which are cost effective. This is teamed with the groups diverse and extensive knowledge of experimental methods, enabling us to be an ideal partner for this purpose.

Please contact us to discuss your requirements and the relevant delivery options for our services.

Professional fees and charges

Please contact us to discuss your requirements and our relevant pricing structures.

Who we have worked with

The Centre has collaborated with many key partners for past and current projects, including:

Academic
  • University of Birmingham, UK
  • Brunel University, UK
  • University of Essex, UK
  • University of Nottingham, UK
  • University of Granada, Spain
  • University of California, Los Angeles (UCLA), USA
  • University of Southern California, USA
  • Wisconsin University Hospital, USA
  • Harvard Medical School, USA
  • University of Missouri, USA
  • Universitat Klinic Eppendorf Hamburg, Germany
  • The Karolinska Institute at Huddinge Hospital Stockholm, Sweden
  • Northeastern University, China
Industrial
  • Network Rail
  • Rail Safety and Standards Board (RSSB)
  • Manchester Computing
  • Trelleborg Industrial AVS
  • Unipart Logisitics Ltd
  • Preactor International Ltd
  • Rolls Royce
  • Go Travel Solutions
  • BGlobal
  • Go Mad Ltd
  • Dailys UK
  • RDM
  • Data Perspective Ltd

Current Projects:

The CCI is currently involved in many commercial projects devising or using computational intelligence.

Evolutionary Computation for Dynamic Optimisation in Network Environments      

A 4-year EPSRC project studying evolutionary computation methods for solving dynamic optimisation problems in different networks, including rail networks, in collaboration with University of Birmingham, Rail Safety and Standards Board (RSSB) and Network Rail.

GS-A-DM-DS — Grey Systems and Its Application to Data Mining and Decision Support                                                                                                          

A highly multidisciplinary EU research project, combining knowledge of grey systems, computational intelligence and management science.

Evolutionary Computation for Optimised Rail Travel (EsCORT)
A collaboration with Go Travel Solutions, a Leicester based SME specialising in assisting businesses to develop sustainable travel solutions.

Ringtrack KTP                                                                                                

A joint venture between DMU and Ringtrack to develop embedded applications for the Ringtrack Telematics Platform (RTP)

Integrating Mobility Vehicles and Devices with Smart Homes
 
A EMDA Transport iNet Initiative developing concepts in support of mobile telecare, specifically focusing on the users of mobility scooters.
 
Go Mad KTP
 
A Knowledge transfer partnership with Go Mad Ltd who specialise in developing people's ability to achieve results. This project is to develop an online tool to allow Go Mad Ltd to deliver some of their methods equipping people with the mindset and skills to make significant personal and business improvements.

For more information on current projects undertaken by the CCI and the diversity of these projects, please click here.

Related services you may be interested in

Telematics and Satellite Navigation Applications

Embedded Systems and ECU Design

Academic Course offered at the Centre for Computational Intelligence, including BSc Artificial Intelligence with Robotics, MSc Intelligent Systems, MSc Intelligent Systems & Robotics,  MSc Game Programming, and Doctor Training Programme in Intelligent Systems.

The De Montfort University Interdisciplinary Group in Intelligent Transport Systems (DIGITS)

Venuesim, A spin-out company from De Montfort University

Contact us

Nadia Omar

Business Development Manager

De Montfort University
Faculty of Technology
Gateway House 4.64
The Gateway
Leicester
LE1 9BH
UK

T: +44(0) 116 207 8624

E: nomar@dmu.ac.uk

 


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