Jon Timmis is affiliated with the University of Sunderland in the United Kingdom. Their research spans multiple domains within computer science and engineering, with a focus on artificial intelligence, mechanical engineering, software, and immunology. Their scholarly contributions cover a range of topics including modular robots and swarm intelligence, evolutionary algorithms and applications, reinforcement learning in robotics, metaheuristic optimization algorithms, and immunological studies related to T-cell and B-cell functionality.
The scientist's recent publications demonstrate a varied research interest that intersects robotics, artificial intelligence, and immunology. Some notable papers include:
Timmis has published extensively in several venues, with a concentration in robotics and artificial intelligence focused journals and conferences. Frequently appearing publication venues include:
The scientist has collaborated regularly with several co-authors over their career. Frequent collaborators include Andy M. Tyrrell, Edgar Buchanan, Emma Hart, A. E. Eiben, and Alan Winfield. These collaborative efforts reflect interdisciplinary work at the intersection of AI, evolutionary computation, and robotics.
Jon Timmis's expertise is demonstrated through their contributions to core fields such as computer science and engineering, with notable specialization in:
The main research themes in their work include:
L.N. de Castro;J. Timmis
L. N. De Castro;J. I. Timmis
Jon Timmis;Mark Neal;John Hunt
Andrew Watkins;Jon Timmis;Lois Boggess
J. Timmis;A. Hone;T. Stibor;E. Clark
Leandro N. de Castro;Jon Timmis
V. Cutello;G. Nicosia;M. Pavone;J. Timmis
Modupe Ayara;Jon Timmis;Rogério de Lemos;Leandro N. de Castro
Johnny Kelsey;Jon Timmis
Jon Timmis
Leandro N. de Castro;Jon Timmis
A.A. Freitas;J. Timmis
Andrew Watkins;Jon Timmis
J. Timmis;T. Knight;L. N. de Castro;E. Hart
A. Secker;A.A. Freitas;J. Timmis
Thomas Schmickl;Ronald Thenius;Christoph Moslinger;Jon Timmis
Susan Stepney;Robert E. Smith;Jonathan Timmis;Andrew M. Tyrrell
Susan Stepney;Samuel L. Braunstein;John A. Clark;Andrew M. Tyrrell
Matthew N. Davies;Andrew Secker;Alex A. Freitas;Miguel Mendao
Alex Alves Freitas;Jon Timmis
Emma Hart;Jon Timmis
If you think any of the details on this page are incorrect, let us know.
Exploring a Computer Science degree opens up a diverse range of opportunities. If you’re looking for flexible and cost-effective education, affordable online courses can be a great option. These programs often allow you to balance work, study, and personal life while minimizing student debt.
Students concerned about prior academic performance can consider online graduate programs that accept 2.0 gpa. These institutions provide a second chance for motivated learners who want to enhance their tech skills and career prospects.
Computer Science knowledge also complements fields such as environmental science and education. To broaden your horizons, discover jobs with elementary education and environmental science degree where technical expertise is increasingly valuable in innovative and sustainable workplaces.
For those wanting to jumpstart their careers, fast track computer science degree programs offer accelerated paths to graduation, letting you enter the workforce quickly. Whatever your background, online learning can help you achieve your Computer Science and career goals.
Max Planck Society
University of Santiago de Compostela
University of California, Los Angeles
Universidade Federal de Minas Gerais
Education University of Hong Kong
Goddard Space Flight Center
University of Verona
Nottingham Trent University
University of Bordeaux
Instituto de Salud Carlos III
The University of Texas Medical Branch at Galveston
Huazhong University of Science and Technology
InterDigital (United States)
University of Paris-Saclay
Brown University
University of North Carolina at Chapel Hill