Kyushu University Academic Staff Educational and Research Activities Database
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Danilo Vasconcellos Vargas Last modified date:2022.11.08

Associate Professor / Faculty of Information Science and Electrical Engineering, Kyushu University
Department of Informatics
Faculty of Information Science and Electrical Engineering

Graduate School
Undergraduate School
Other Organization
Administration Post

 Reseacher Profiling Tool Kyushu University Pure
Laboratory of Intelligent Systems (team leader) .
Academic Degree
Country of degree conferring institution (Overseas)
Yes Bachelor
Field of Specialization
Artificial General Intelligence, Cognitive Architecture, (Deep) Neural Networks, Evolutionary Computation, Global Optimization and Applications (Security, Robotics, among others).
Total Priod of education and research career in the foreign country
Outline Activities
(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
  • Automatic Search for Hybrid Deep Learning Models
    keyword : Adversarial Machine Learning
  • Learning Internal Representations Robust against Adversarial Attacks
    keyword : Adversarial Machine Learning
  • Perceptual Deep Neural Networks
    keyword : Adversarial Machine Learning
  • Artificial General Intelligence, Cognitive Architecture;
    keyword : Artificial General Intelligence
  • Evolutionary Computation, Global Optimization;
    keyword : Evolutionary Computation
  • Machine Learning, (Deep) Neural Networks, Neuroevolution;
    keyword : (Deep) Neural Networks
  • Applications in Cybersecurity, Robotics, Economic dispatch, Brain Science, Medicine, etc.
    keyword : Cybersecurity, Robotics, Economic dispatch, Brain Science, Medicine,
Academic Activities
1. Steven Van Uytsel, Danilo Vasconcellos Vargas,
Autonomous Vehicles: Business, Technology and Law (Perspectives in Law, Business and Innovation)
, Springer, 2021.01.
Membership in Academic Society
  • IEEE
Educational Activities
(IUPE)Programming Practice I
(IUPE)Programming Methodology Ⅰ
 Information Science (English)
Hardware Experiments

 Information Science (English)

2018, 2019
情報科学 [単独] (英語)
Algorithms and the Law [分担] (英語)
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).
Professional and Outreach Activities
To contribute back to society. I took part in events such as the Open Campus, laboratory for junior high school students, among others.
I organized both the materials and presentations together with the students of the laboratory to present in these events.
Regarding international cooperation, currently a cooperation with professors and students from India and Brazil is giving birth to many research results..