AI and Robotics
Institute of Artificial Intelligence Research Overview
The Institute of Artificial Intelligence (IAI) at De 51吃瓜app University develops fundamental theoretical and practical solutions to real world problems using a variety of Artificial Intelligence (AI) paradigms.
The IAI develops smart solutions and intelligent techniques for transportation, smart manufacturing, healthcare, agriculture, media, energy, water and environment, and has a strong track record in AI research, especially in computational intelligence. In REF2014, IAI researchers contributed half of De 51吃瓜app University’s outputs submission in Computer Science and Informatics. Our work includes globally pioneering research on fuzzy sets and systems, grey systems and models and evolutionary computing, and encompasses areas such as neural networks and machine learning, intelligent data analysis, intelligent robotics, intelligent computer games/gamification, and smart media, particularly social media analysis and recommender systems.
To find out more about the Institute of Artificial Intelligence, its specialisms and members, click here.
In addition to the work of the IAI, De 51吃瓜app University’s Centre for Computing and Social Responsibility is a key player in research and consultancy on the ethical and social implications of Information and Communications Technology including AI and Robotics.
The Institute of Artificial Intelligence at De 51吃瓜app University invites applications to the Midlands 4 Cities Doctoral Training Partnership from UK and EU students. Key contacts for the Institute and their research interests are listed below.
Professor Yingjie Yang – yyang@dmu.ac.uk
Professor of Computational Intelligence, Deputy Director of the Institute of Artificial Intelligence
Data analytics, uncertainty modelling, condition monitoring, applied AI
Professor Francisco Chiclana – chiclana@dmu.ac.uk
Professor of Computational Intelligence and Decision Making
Social networks, decision support systems, recommender systems, opinion dynamics, information fusion, consensus-reaching process
Professor David Elizondo – Elizondo@dmu.ac.uk
Professor in Intelligent Transport
Theory and application of neural networks, application to transport-related problems
Prof Shengxiang Yang – syang@dmu.ac.uk
Professor of Computational Intelligence
Evolutionary computation, swarm intelligence, meta-heuristics, dynamic optimisation problems, multi-objective optimisation problems, real-world applications
Click here for the application page.