Age, Biography and Wiki
Michael Wooldridge (Michael John Wooldridge) was born on 26 August, 1966 in Wakefield, United Kingdom, is a British computer scientist. Discover Michael Wooldridge's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 57 years old?
Popular As |
Michael John Wooldridge |
Occupation |
N/A |
Age |
57 years old |
Zodiac Sign |
Virgo |
Born |
26 August, 1966 |
Birthday |
26 August |
Birthplace |
Wakefield, United Kingdom |
Nationality |
United Kingdom
|
We recommend you to check the complete list of Famous People born on 26 August.
He is a member of famous computer with the age 57 years old group.
Michael Wooldridge Height, Weight & Measurements
At 57 years old, Michael Wooldridge height not available right now. We will update Michael Wooldridge's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
Physical Status |
Height |
Not Available |
Weight |
Not Available |
Body Measurements |
Not Available |
Eye Color |
Not Available |
Hair Color |
Not Available |
Who Is Michael Wooldridge's Wife?
His wife is Janine Wooldridge
Family |
Parents |
Not Available |
Wife |
Janine Wooldridge |
Sibling |
Not Available |
Children |
2 |
Michael Wooldridge Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Michael Wooldridge worth at the age of 57 years old? Michael Wooldridge’s income source is mostly from being a successful computer. He is from United Kingdom. We have estimated Michael Wooldridge's net worth, money, salary, income, and assets.
Net Worth in 2024 |
$1 Million - $5 Million |
Salary in 2024 |
Under Review |
Net Worth in 2023 |
Pending |
Salary in 2023 |
Under Review |
House |
Not Available |
Cars |
Not Available |
Source of Income |
computer |
Michael Wooldridge Social Network
Timeline
Michael John Wooldridge (born 26 August 1966) is a professor of computer science at the University of Oxford.
His main research interests is in multi-agent systems, and in particular, in the computational theory aspects of rational action in systems composed of multiple self-interested agents.
His work is characterised by the use of techniques from computational logic, game theory, and social choice theory.
Wooldridge was educated at Wolverhampton Polytechnic where he gained a BSc in 1989 and the University of Manchester Institute of Science and Technology (UMIST) where he was awarded a PhD in 1991 for research supervised by Gregory O'Hare.
Wooldridge was appointed a lecturer in Computer Science at the Manchester Metropolitan University in 1992.
In 1996, he moved to London, where he became senior lecturer at Queen Mary and Westfield College in 1998.
His appointment as full professor in the Department of Computer Science at the University of Liverpool followed in 1999.
In Liverpool he served as head of department from 2001 to 2005 and as head of the School of Electrical Engineering, Electronics, and Computer Science from 2008 to 2011.
In 2012 the European Research Council awarded him a five-year ERC Advanced Grant for the project Reasoning about Computational Economies (RACE).
In the same year he left Liverpool to become professor of computer science at the University of Oxford, and served as head of the Department of Computer Science from 2014 - 2018.
In Oxford he is a senior research fellow of Hertford College, Oxford.
Other editorships: Journal of Applied Logic, Journal of Logic and Computation, Journal of Applied Artificial Intelligence, and Computational Intelligence.
He is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a European Coordinating Committee for Artificial Intelligence (ECCAI) Fellow, a Society for the Study of Artificial Intelligence and the Simulation of Behaviour (AISB) Fellow, and a British Computer Society (BCS) Fellow.
In 2015, he was made Association for Computing Machinery (ACM) Fellow for his contributions to multi-agent systems and the formalisation of rational action in multi-agent environments.