Dr Mario Gongora

Job: Principal Lecturer

Faculty: Technology

School/department: School of Computer Science and Informatics

Research group(s): Centre for Computational Intelligence

Address: De Montfort University, The Gateway, Leicester, LE1 9BH

T: +44 (0)116 207 8226

E: mgongora@dmu.ac.uk

W: www.cci.dmu.ac.uk/home


Personal profile

Dr. Gongora is a Principal Lecturer in the Department of Informatics, Faculty of Technology at De Montfort University.  He got his MSc and PhD from the University of Warwick (UK).  He is part of the Centre for Computational Intelligence (CCI), and his research includes the application of Artificial Intelligence techniques to the identification, modelling, simulation and control of complex systems.  His expertise is mainly in using evolutionary computing and biologically inspired methods for this purpose.  He has ongoing projects in this area, mainly applied to analysis and modelling of complex systems and behaviour-based processes as well as in the control and decision making for autonomous systems.

Dr. Gongora also works in close contact with industry, applying his research results in the analysis of consumer behaviour and other complex industrial processes.  He has an active role in the Faculty's consultancy activities, taking the expertise from the University to Industry. 

Research group affiliations

Centre for Computational Intelligence (CCI) (Deputy Director).

Publications and outputs 

Click here to view a full listing of Mario Gongora's publications and outputs.

Research interests/expertise

  • Identification, Modelling and simulation using Computational Intelligence
  • Intelligent Data Mining and Behaviour Identification
  • Application of Computational Intelligence to industry and real world problems
  • Evolutionary programming
  • Intelligent Mobile Robots and Bioengineering.

Areas of teaching

Artificial Intelligence


Embedded programming


BSc, MSc, PhD 

Membership of external committees

Checkpoint of the Future expert group, IATA (International Air Transport Association), current member of the technology expert group.


  • On-line path optimisation using self simulation and genetic paradigm.
  • Path search for migrations of ancient populations using analysis of mDNA.
  • Analysis of Developmental Genetics Theory using Evolutionary Programming.

Consultancy work

Intelligent Data Mining

Automation and Robotics (including telemetry and instrumentation)

Computational Intelligence applications (e.g. optimisation, system identification, modelling and simulation)

Some consultancy/commercial projects worked for have for example: GSH (telemetry and automation for intelligent buildings), Rolls Royce (automation and instrumentation), Venuesim (intelligent data mining, modelling and simulation), among others.

Current research students

Currently supervising 10 research students. 

Externally funded research grants information

Has had funding from various sources (Royal Academy, EPSRC, TSB, ERDF, etc.).  Active projects:

Venuesim (spinout company created with seed/investment funding from Lachesis), commercialising research outcomes of intelligent data mining, modelling and simulation. Jan 2008 – current.

Intelligent GUI systems, KTP (TSB) funding to develop highly effective and intelligent GUI frameworks to present information from complex systems, in collaboration with Northrop Grumman. June 2012 – May 2014.

Internally funded research project information

Has had funding from various sources (PhD scholarships from EPSRC DTA, RIF, HEIF).  Active projects:

PhD student from EPSRC DTA, Oct 2009 – Sep 2012, working in Intelligent Data Mining.

Intelligent questionnaire, HEIF, developing intelligent autonomous surveying tools to support social services. May 2012 – Feb 2013.

Published patents

US Patent number 6,339,720 “Early warning apparatus for acute Myocardial Infarction in the first six hours of pain”, US government.

US Patent number 5,545,971 “AC voltage regulator”, US Government.

Professional esteem indicators

Journal reviewing: IEEE Transactions on Neural Networks, IEEE Transactions on Computational Intelligence and AI in Games, Elsevier Information Sciences, Elsevier Applied Soft Computing, Elsevier Evolving Systems, Springer Artificial Intelligence Review.

Case studies

Spinout company Venusim resulting from Dr. Gongora’s research in intelligent data mining.

Article in Airport-technology.com which is the only site focused on bringing the latest news about airport projects, trends, products and services for the global airport industry: http://www.airport-technology.com/features/featureartificial-intelligence-predictive-modelling-airport/

Invited by IATA (International Air Transport Association) to be a member in their expert group for the Checkpoint of the future, an international initiative to drive forward and contribute to aviation security science; by bringing together governments, industry and academic experts from across the world.


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