World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
5484
World Ranking
11669
National Ranking
736

Overview

Andy M. Tyrrell is affiliated with the University of York in the United Kingdom and has a multidisciplinary research focus spanning engineering and computer science. Their body of work encompasses both foundational and applied research across these domains.

The scientist's recent publications emphasize renewable energy technologies, artificial intelligence, and robotics. Notable papers include: Power loss and hotspot analysis for photovoltaic modules affected by potential induced degradation (2022, npj Materials Degradation), Photovoltaic Bypass Diode Fault Detection Using Artificial Neural Networks (2023, IEEE Transactions on Instrumentation and Measurement), Application of Artificial Intelligence-Based Technique in Electric Motors: A Review (2024, IEEE Transactions on Power Electronics), Inequalities in photovoltaics modules reliability: From packaging to PV installation site (2022, Renewable Energy), and Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism (2022, IEEE Transactions on Cognitive and Developmental Systems).

The central research topics covered include:

  • Modular Robots and Swarm Intelligence
  • Evolutionary Algorithms and Applications
  • Reinforcement Learning in Robotics
  • Photovoltaic System Optimization Techniques
  • Advanced Neural Network Applications
  • Silicon and Solar Cell Technologies
  • Robot Manipulation and Learning

The main fields of study associated with this researcher are engineering and computer science, with specific subfields including:

  • Artificial Intelligence
  • Mechanical Engineering
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition
  • Renewable Energy, Sustainability and the Environment

Frequent collaborators in their research include Jon Timmis, Edgar Buchanan, Emma Hart, A. E. Eiben, and Alan Winfield. This network reflects interdisciplinary cooperation primarily within robotics and AI research communities.

The researcher's work has appeared repeatedly in publication venues such as:

  • arXiv (Cornell University)
  • Robotics
  • Frontiers in Robotics and AI
  • Electronics
  • IEEE Access

Andy M. Tyrrell's portfolio demonstrates a sustained focus on integrating advanced artificial intelligence methods with mechanical and electrical engineering principles. This includes leveraging neural networks and evolutionary algorithms to address challenges in robotic systems, as well as optimizing photovoltaic energy technologies and electric motor applications.

Best Publications

  • Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems

    Garrison W. Greenwood;Andrew M. Tyrrell

  • Immunotronics - novel finite-state-machine architectures with built-in self-test using self-nonself differentiation

    D.W. Bradley;A.M. Tyrrell

  • Conceptual Frameworks for Artificial Immune Systems

    Susan Stepney;Robert Elliott Smith;Jonathan Timmis;Andy M. Tyrrell

  • CoCoRo -- The Self-Aware Underwater Swarm

    Thomas Schmickl;Ronald Thenius;Christoph Moslinger;Jon Timmis

  • Towards a Conceptual Framework for Artificial Immune Systems

    Susan Stepney;Robert E. Smith;Jonathan Timmis;Andrew M. Tyrrell

  • Journeys in non-classical computation I: A grand challenge for computing research

    Susan Stepney;Samuel L. Braunstein;John A. Clark;Andrew M. Tyrrell

  • POEtic tissue: an integrated architecture for bio-inspired hardware

    Andy M. Tyrrell;Eduardo Sanchez;Dario Floreano;Gianluca Tempesti

  • Challenges of evolvable hardware: past, present and the path to a promising future

    Pauline C. Haddow;Andy M. Tyrrell

  • Immunotronics: Hardware Fault Tolerance Inspired by the Immune System

    D. W. Bradley;Andrew M. Tyrrell

  • The yield enhancement of field-programmable gate arrays

    N.J. Howard;A.M. Tyrrell;N.M. Allinson

  • Embryonics+immunotronics: a bio-inspired approach to fault tolerance

    D. Bradley;C. Ortega-Sanchez;A. Tyrrell

  • Embryonics: A Bio-Inspired Cellular Architecture with Fault-Tolerant Properties

    Cesar Ortega-Sanchez;Daniel Mange;Steve Smith;Andy Tyrrell

  • Safe intrinsic evolution of Virtex devices

    G. Hollingworth;S. Smith;A. Tyrrell

  • Digital circuit design using intrinsic evolvable hardware

    Yang Zhang;S.L. Smith;A.M. Tyrrell

  • Fault Tolerance Using Dynamic Reconfiguration on the POEtic Tissue

    W. Barker;D.M. Halliday;Y. Thoma;E. Sanchez

  • Evolving Classifiers to Recognize the Movement Characteristics of Parkinson's Disease Patients

    Michael A. Lones;Stephen L. Smith;Jane E. Alty;Stuart E. Lacy

  • Robot error detection using an artificial immune system

    R. Canham;A.H. Jackson;A. Tyrrell

  • The architecture for a hardware immune system

    D.W. Bradley;A.M. Tyrrell

  • The Triangle of Life: Evolving Robots in Real-time and Real-space

    Ágoston E. Eiben;Nicolas Bredeche;Mark Hoogendoorn;Jürgen Stradner

  • Reliability analysis in self-repairing embryonic systems

    C. Ortega;A. Tyrrell

Frequent Co-Authors

Jon Timmis
Jon Timmis University of Sunderland
Julian F. Miller
Julian F. Miller University of York
Susan Stepney
Susan Stepney University of York
Alan F. T. Winfield
Alan F. T. Winfield University of the West of England
A. E. Eiben
A. E. Eiben Vrije Universiteit Amsterdam
Peter J. Bentley
Peter J. Bentley University College London
Andrew Adamatzky
Andrew Adamatzky University of the West of England
Andrew J. Hunt
Andrew J. Hunt Khon Kaen University
Samuel L. Braunstein
Samuel L. Braunstein University of York
Asen Asenov
Asen Asenov University of Glasgow

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