Innovative Artificial Intelligence

We research fundamental solutions for automating processes, predictive analytics, decision-making and optimisation, enhancing efficiency, and incorporating uncertainty modelling to tackle complex systems where incomplete or ambiguous data poses challenges. We harness AI to innovate in areas such as healthcare, agriculture, pedagogy, sustainability, and public safety. We enhance teaching and learning experiences through personalised learning, predictive analytics, and data-driven insights. Advancing ethical and equitable solutions through cutting-edge AI methodologies.

Areas of Expertise

  • Computational Intelligence
  • Intelligent Transport Systems
  • Research in Society
  • Healthcare Technologies and Digital Health

Partnership and Collaborations

The research at IAI is highly international. We are collaborating with many international research centres in the field of Artificial Intelligence and its applications.

For example, we are coordinating a Leverhulme Trust international network involving seven different partners from five different countries. Majority of our members have collaborated with at least one international partners in their research.

Selected international partners are listed here:

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China
  • Northeastern University, Shenyang, China
  • Xiangtan University, Xiangtan, China
  • Beijing University of Technology, Beijing, China
  • University of Pablo de Olavide, Spain
  • Bucharest University of Economic Studies, Romania

Publications

Fabio Caraffini, Ferrante Neri, and Michael Epitropakis. Hyperspam: A study on hyperheuristic coordination strategies in the continuous domain. Information Sciences, 477:186 – 202, 2019.


P. Loukopoulos, G. Zolkiewski, I. Bennett, S. Sampath, P. Pilidis, X. Li, D. Mba, Abrupt fault remaining useful life estimation using measurements from a reciprocating compressor valve failure, Mech. Syst. Signal Process. 121: 359–372. 2019. doi:10.1016/j.ymssp.2018.09.033.


Nicola Capuano, Francisco Chiclana, Hamido Fujita, Enrique Herrera-Viedma, Vincenzo Loia: Fuzzy Group Decision Making with Incomplete Information Guided by Social Influence. IEEE


Transactions on Fuzzy System Volume 26, Issue 3, June 2018, pages 1704 - 1718.


A. Orun, D. Elizondo, E. Goodyer and D. Paluszczyszyn , Use of Bayesian Inference Method to Model Vehicular Air Pollution in Local Urban Areas, Transportation Research Part D:Transport and Environment, 63, pp.236-243, 2018.


Liang Hu, Zidong Wang, Qin-Long Han, and Xiaohui Liu, State estimation under deception attacks: security analysis and attack detection, Automatica, 87: 176--183, 2018.


Sarah Greenfield and Francisco Chiclana, “Type-Reduced Set structure and the truncated type-2 fuzzy set”, Fuzzy Sets and Systems, volume 352, pages 119–141, December 2018.


Jayne Eaton, Shengxiang Yang, and Mario Gongora “Ant Colony Optimisation for Simulated Dynamic Multi-objective Railway Junction Rescheduling”, IEEE Transactions on Intelligent Transportation Systems, Issue: 99, pp.1- 3, 2017.


M. Li, S. Yang, and X. Liu. Pareto or non-pareto: Bi-criterion evolution in multi-objective optimization. IEEE Transactions on Evolutionary Computation, 20(5): 645-665, October 2016.


L. Wu, S. Liu and Y. Yang. Grey double exponential smoothing model and its application on pig price forecasting in China. Applied Soft Computing, 39:117–123, 2016.


F. Tsitoura, Z.A. Anastassi, J.L. Marzuola, P.G. Kevrekidis, and D.J. Frantzeskakis, Dark solitons near potential and nonlinearity steps, Physical Review A, 94, 063612, 2016.


Cristóbal J. Carmona, V. Ruiz-Rodado, María José del Jesús, A. Weber, Martin Grootveld, Pedro González, David A. Elizondo: A fuzzy genetic programming-based algorithm for subgroup discovery and the application to one problem of pathogenesis of acute sore throat conditions in humans. Inf. Sci. 298: 180-197, 2015.


Shell, J. and Coupland, S. Fuzzy Transfer Learning: Methodology and application. Information Sciences, 293, 1 pp. 59-79, 2015.


Deka, L., Barua, G. Consistent Online Backup in Transactional File Systems, IEEE Transaction on Knowledge and Data Engineering. Volume 26, Issue 11, 2014.


A. Moemeni, E. Tatham. Inertial-Visual Pose Tracking Using Optical Flow-aided Particle Filtering, IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), December 2014.

Postgraduate Study options

MSc Intelligent Systems and MSc Intelligent Systems and Robotics

Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.

Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their IAI project supervisors and gone on to PhD study.

For more information, call us on +44 (0)116 250 6070.

PhD studies in Artificial Intelligence and its applications

The institute has world leading expertise in uncertainty modelling, intelligent data analysis, fuzzy sets, grey systems, rough sets, neural networks, evolutionary computation, optimisation and their applications. Our graduated PhD students are playing leading roles in their institutes' world wide. We welcome all talented researchers to join us for their PhD studies.

Consultancy and commercial services

Consultancy and commercial services are important part of the work at IAI. We welcome industry and commercial partners to collaborate with us to transfer our research into real benefits to our society.

We have collaborated with many industry partners and provided successful commercial consultancy and services. For example, we have successfully run the VenueSim spin-out company, and are doing consulting services for Surbana Jurong Consultants Pte Ltd and Guidance Marine.

We can provide expertise in the following fields:

  • Intelligent data analysis, especially for imperfect data
  • Optimisation and scheduling
  • Multi-objective optimisation problems
  • Dynamic optimisation problems
  • Intelligent condition monitoring
  • Intelligent decision support
  • Intelligent robotics
  • Intelligent computer games/gamification
  • Intelligent transportation and agricultural systems
  • Smart healthcare
  • Smart manufacturing
  • Smart energy control
  • Smart media: social media analysis and recommender systems
  • Intelligent water management
  • Intelligent environmental monitoring and control

Our members

25 matching records
  • Dr Amal Al-Shargabi

    Senior Lecturer in Data Analytics and Artificial Intelligence

    amal.al-shargabi@dmu.ac.uk

    +44 (0) 116 207 8035

  • Dr Zacharias Anastassi

    Associate Professor Research / Reader in Computational Mathematics - Deputy Subject Group Leader of Games, Mathematics & Intelligent Systems - Deputy Programme Leader of Mathematics BSc

    zacharias.anastassi@dmu.ac.uk

    +44 116 257 7021

  • Professor Francisco Chiclana

    Professor of Computational Intelligence and Decision Making

    chiclana@dmu.ac.uk

    +44 (0)116 207 8413

  • Dr Simon Coupland

    Principal Lecturer

    simonc@dmu.ac.uk

    +44 (0)116 207 8419

  • Dr Lipika Deka

    Associate Professor / Faculty Head of Research Students

    lipika.deka@dmu.ac.uk

    +441162506051

  • Professor David Elizondo

    Professor in Intelligent Transport

    Elizondo@dmu.ac.uk

    +44 (0)116 207 8471

  • Dr Conor Fahy

    Lecturer in Games and AI

    conor.fahy@dmu.ac.uk

    +44 (0) 116 366 4275

  • Dr Mubeen Ghafoor

    Senior Lecturer in Data Analytics

    mubeen.ghafoor@dmu.ac.uk

    7740

  • Professor Mario Gongora

    Professor in Applied Intelligent Systems
    Faculty Enterprise Lead

    mgongora@dmu.ac.uk

    +44 (0)116 207 8226

  • Dr Sarah Greenfield

    Research Fellow

    s.greenfield@dmu.ac.uk

    +44 (0)116 250 6171

  • Dr Archie Khuman

    Associate Head Education - School of Computer Science and Informatics

    archie.khuman@dmu.ac.uk

    +44 (0)116 250 6251

  • Dr Bangli Liu

    Senior Lecturer

    bangli.liu@dmu.ac.uk

    Ext 6064

  • Dr Xin Lu

    Associate Professor

    xin.lu@dmu.ac.uk

    +44(0)11 6257 7201

  • Dr Hossein Malekmohamadi

    Senior Lecturer in Computer Vision

    h.malekmohamadi@dmu.ac.uk

    +44 (0)116 250 6182

  • Dr Taha Rassem

    Senior Lecturer in Computing

    taha.rassem@dmu.ac.uk

    01163664984

  • Professor Daniela Romano

    Professor of Artificial Intelligence & Games, Director of the Digital Future Institute

    daniela.romano@dmu.ac.uk

    +44 0116 207 8490

  • Dr Waddah Saeed

    Senior Lecturer & Program Lead MSc Data Analytics

    waddah.saeed@dmu.ac.uk

    N/A

  • Dr Martin Stacey

    Senior Lecturer

    mstacey@dmu.ac.uk

    +44 (0)116 250 6256

  • Dr Graeme Stuart

    Research Fellow

    gstuart@dmu.ac.uk

    +44 (0)116 257 7964

  • Dr Aboozar Taherkhani

    Senior Lecturer, Creativity in the Digital Age – Computer Science and Informatics

    aboozar.taherkhani@dmu.ac.uk

    0116 366 4500

  • Dr Ashraf Tantawy

    Senior Lecturer

    ashraf.tantavy@dmu.ac.uk

    +44 (0) 116 257 7776

  • Dr Darpan Triboan

    Lecturer in Computing (Apprenticeship)

    darpan.triboan@dmu.ac.uk

    +44 (0) 116 250 6535

  • Professor Shengxiang Yang

    Professor of Computational Intelligence, Director of the Centre for Computational Intelligence (CCI)

    syang@dmu.ac.uk

    +44 (0)116 207 8805

  • Professor Yingjie Yang

    Professor of Computational Intelligence

    yyang@dmu.ac.uk

    +44 (0)116 257 7939

  • Dr Lin Zou (B.A., PhD, FHEA)

    Lecturer in Data Analytics

    lin.zou@dmu.ac.uk

    0116 366 4788

  • 25