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J-GLOBAL ID:201801011187435935   Update date: Jul. 17, 2024

Vargas Danilo Vasconcellos

Vargas Danilo Vasconcellos
Affiliation and department:
Job title: Associate Professor
Other affiliations (1):
  • The University of Tokyo  Visiting Researcher
Homepage URL  (2): http://lis.inf.kyushu-u.ac.jp/index_japanese.phphttp://lis.inf.kyushu-u.ac.jp/
Research field  (5): Perceptual information processing ,  Intelligent robotics ,  Soft computing ,  Intelligent informatics ,  Cognitive sciences
Research keywords  (5): Adversarial Machine Learning ,  Deep Learning ,  Robust Artificial Intelligence ,  Adaptive Artificial Intelligence ,  Artificial General Intelligence
Research theme for competitive and other funds  (6):
  • 2022 - 2027 Photonic Computing Highlighting Ultimate Nature of Light
  • 2022 - 2024 自己組織化による学習:人工知能の新たな基礎を開拓
  • 2022 - 2024 デジタルツインを用いた自動運転AIの検証と妥当性確認
  • 2020 - 2022 Automatic Search for Robust Hybrid Deep Learning Models
  • 2020 - 2022 Learning Internal Representations Robust against Adversarial Attacks
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Papers (71):
  • Danilo Vasconcellos Vargas, Tham Yik Foong, Heng Zhang. Dynamical Equations With Bottom-up Self-Organizing Properties Learn Accurate Dynamical Hierarchies Without Any Loss Function. CoRR. 2023. abs/2302.02140
  • Masato Osugi, Danilo Vasconcellos Vargas. Image Generation from Text and Segmentation. CANDARW. 2022. 206-211
  • Tham Yik Foong, Danilo Vasconcellos Vargas. Understanding SyncMap: Analyzing the components of Its Dynamical Equation. AICCC. 2022. 246-254
  • Heng Zhang, Danilo Vasconcellos Vargas. Understanding SyncMap's Dynamics and Its Self-organization Properties: A Space-time Analysis. AICCC. 2022. 14-20
  • Shashank Kotyan, Moe Matsuki, Danilo Vasconcellos Vargas. Transferability of features for neural networks links to adversarial attacks and defences. PloS one. 2022. 17. 4. e0266060
more...
Lectures and oral presentations  (5):
  • Deep Turning Point
    (Blockchain meets Computer Vision and AI Workshop (at CVPR 2019) 2019)
  • Current Deep Learning Limitations and the Promise of Evolution-based Learning Systems
    (1st International Workshop on Multiscale Simulation for Emerging Materials 2019)
  • Confusing Autonomous Vehicles: Adversarial Attacks on the Vehicles Algorithm
    (The 20th Congress of International Academy of Comparative Law - Congress in Congress 2018)
  • Current Deep Learning Limitations and the Promise of Evolution-based Learning Systems
    (GIST AI Forum, Gwangju Institute of Science and Technology 2018)
  • "人工知能ってなに?どこにある?"
    (IEEE Metro Area Workshop)
Work history (3):
  • 2020/09 - 現在 The University of Tokyo Visiting Researcher
  • 2020/01 - 現在 Kyushu University Faculty of Information Science and Electrical Engineering Department of Informatics Associate Professor
  • 2016/10 - 2019/12 Kyushu University Faculty of Information Science and Electrical Engineering Assistant Professor
Committee career (2):
  • 2018 - 現在 The Genetic and Evolutionary Computation Conference Programme Committee Member
  • 2017 - 現在 IEEE Congress on Evolutionary Computation Programme Committee Member
Awards (7):
  • 2022 - IEEE Transactions on Evolutionary Computation Outstanding 2022 Paper award
  • 2017 - The IEEE Fukuoka Section 2016 Excellent Student Award IEEE
  • 2011 - MEXT MEXT (The Japanese Ministry of Education, Culture, Sports, Science and Technology) Scholarship, Japan (5 years)
  • 2008 - Robocup 2nd Place with the GEAR Group in the 5th Latin American Robotics Competition
  • 2007 - Baden-Württemberg Baden-Württemberg Scholarship, Germany (5 months)
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Association Membership(s) (1):
IEEE
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