People

João Nuno Correia

Email

Member

Evolutionary and Complex Systems

Research interests

Artificial Intelligence
Evolutionary Computation
Machine Learning
Pattern Recognition
Computer Vision
Computational Creativity

Short Bio

João Correia is an Assistant Professor at the University of Coimbra and a researcher of the Computational Design and Visualization Lab. of the Centre for Informatics and Systems of the same university. He was also an Invited Assistant at the Lusófona University of Lisbon.

He holds a PhD in Information Science and Technology from the University of Coimbra. He also holds a MSc and BS in Informatics Engineering from the University of Coimbra. His main research interests include Evolutionary Computation, Machine Learning, Pattern Recognition, Computer Vision and Computational Creativity. He is involved in different international program committees of International conferences of the area of Evolutionary Computation, Artificial Intelligence and Computational Art and Creativity and reviewer for different conferences and journals for the mentioned areas. He was also chair of the International Conference of Evolutionary Art Music and Design conference. Furthermore, he has authored and co-authored several articles on the different International Conferences and journals on Artificial Intelligence and Evolutionary Computation and is involved in national and international projects.

National Projects

ACCELERATION - Automatic Artificial Neural Networks for Gamma-Ray Detection

Past Projects

SBIRC - Based Image Retrieval and Classification
ConCreTe - Concept Creation Technology
Study and visualization of the mobility in urban spaces




Journal Articles

2019

(3 publications)

2016

(1 publication)

2015

(2 publications)

2014

(1 publication)

Conference Articles

2020

(1 publication)

2019

(3 publications)

2018

(1 publication)

2016

(3 publications)

2015

(4 publications)

2014

(2 publications)

2013

(2 publications)

2012

(3 publications)

Edited Books

Book Chapters

PhD Theses

MSc Theses

Tech Report