https://kyushu-u.elsevierpure.com/en/persons/danilo-vasconcellos-vargas
　Reseacher Profiling Tool　Kyushu University Pure

http://lis.inf.kyushu-u.ac.jp/
Laboratory of Intelligent Systems (team leader) .

http://danilovargas.org

PhD

Yes　Bachelor

Artificial General Intelligence, Cognitive Architecture, (Deep) Neural Networks, Evolutionary Computation, Global Optimization and Applications (Security, Robotics, among others).

14years00months

(Please look at the lab's website for recent info regarding research and activities) Regarding research, I aim to develop a new generation of artificial intelligence. Additionally, I am applying the most recent artificial intelligence techniques to solve various problems in areas that range from security to electrical engineering. The results are published on top journals and conferences. In 2017, my research was published in the BBC news and in the same year my paper was published in the highest impact journal of the area of neural networks (IEEE Trans. Neural Networks).
To pursue research vigorously, I am also applying to various grants. In 2018 and 2017, I was awarded three grants, including the very competitive ACT-I.
In relation to education, I created two new courses (Artificial Intelligence I - Understanding the Basics and Artificial Intelligence II - Understanding the State of the Art), got accepted to present a tutorial in GECCO (which is a Core Rank A Conference) and also created a club for artificial intelligence in Kyushu University.

Research Interests

• Self-Organization based Learning: Pioneering a new Paradigm in AI
  keyword : Self-Organization, Artificial Intelligence
  2021.04～2025.04.
• Learning Internal Representations Robust against Adversarial Attacks
  keyword : Adversarial Machine Learning
  2020.04～2022.04.
• Perceptual Deep Neural Networks
  keyword : Adversarial Machine Learning
  2020.04～2022.04.
• Artificial General Intelligence, Cognitive Architecture;
  keyword : Artificial General Intelligence
  2016.11～2016.11.
• Evolutionary Computation, Global Optimization;
  keyword : Evolutionary Computation
  2017.03～2017.03.
• Machine Learning, (Deep) Neural Networks, Neuroevolution;
  keyword : (Deep) Neural Networks
  2017.03～2017.03.
• Applications in Cybersecurity, Robotics, Economic dispatch, Brain Science, Medicine, etc.
  keyword : Cybersecurity, Robotics, Economic dispatch, Brain Science, Medicine,
  2017.03～2017.03.

Academic Activities
Membership in Academic Society

• IEEE

Educational Activities
Other Educational Activities

• 2020.01, Adversarial Machine Learning: On The Deeper Secrets of Deep Learning
  Conference: IJCAI 2020
  (Tutorial in Top Conference).
• 2020.07, Adversarial Machine Learning: On The Deeper Secrets of Deep Learning
  Conference: WCCI 2020
  (Tutorial in Top Conference).
• 2018.07, Evolutionary Reinforcement Learning: General Models and Adaptation
  Conference: GECCO 2018
  (Tutorial in Top Conference).
• 2018.07, Introducing Learning Classifier Systems: Rules that Capture Complexity
  Conference: GECCO 2018
  (Tutorial in Top Conference).