I am currently a Senior Researcher at the Data Science Group, Institute for Basic Science, South Korea. I am currently working towards applying AI-based methods for Protein and Antibody Design applied to drug discovery. I am also interested in improving exploration and credit assignment in single-agent and multi-agent reinforcement learning. My main research interests involves Deep Learning, Reinforcement Learning, and Bioinformatics. I have previous research experiences in Deep Reinforcement Learning applied to Robotics (continuous control, development of simulated environments, multi-agent systems), Speech Synthesis (corpus building and segmentation, statistical parametric speech synthesis), and Natural Language Processing (using sequence-to-sequence models and transformers). My personal interests include traveling, sports (football, kickboxing, skate, surfskate), music (classical guitar, cavaquinho) and reading (fantasy, science fiction, mountaineering).


2021.10-Present: Data Science Group, Institute for Basic Science, South Korea: Senior Researcher
2021.3-2021.9: Mechanical Engineering Research Institute, KAIST, South Korea: Postdoctoral Researcher


2017-2021: Korea Advanced Institute of Science and Technology (KAIST): PhD degree in Green Transportation (Thesis: Performance Enhancement in Multigoal Reinforcement Learning using Hindsight Experience Replay). Adviser: Dongsoo Har
2015-2017: Federal University of Rio de Janeiro: Master’s Degree in Electrical Engineering. (Dissertation: Comparison between rule-based and data-driven natural language processing algorithms for Brazilian Portuguese speech synthesis). Adviser: Fernando Gil Vianna Resende Junior
Summer 2013: Hyundai Motor Company Internship: Eco Vehicle Control System Development Team
2013: Korea Advanced Institute of Science and Technology (KAIST): Exchange Student at the Electrical Engineering department
2009-2015: Federal University of Rio de Janeiro: Bachelor’s Degree in Electronic and Computer Engineering

Current Projects

Development of AI-based method for drug discovery: Research on Protein/Antibody design methods using Deep Learning for the development of new therapeutics/vaccines.

Past Projects

AI World Cup: Robot Soccer competition. Software Developer. Author and Maintainer of the Python examples and support.

WCG AI Masters: Design and development of the online platform.

Robot Hand Project: Research in Reinforcement Learning algorithms for Robot Control.

EBS ESOF Platform: Design, curriculum design and back end development. Web platform to teach robotics and deep reinforcement learning using Webots and Google Blockly.


[1]: Seo, Minah & Vecchietti, Luiz Felipe & Lee, Sangkeum & Har, Dongsoo. (2019). Rewards Prediction Based Credit Assignment for Reinforcement Learning with Sparse Binary Rewards. IEEE Access. PP. 1-1. 10.1109/ACCESS.2019.2936863.

[2]: Vecchietti, Luiz Felipe & Seo, Minah & Har, Dongsoo. (2020). Sampling Rate Decay in Hindsight Experience Replay for Robot Control. IEEE Transactions on Cybernetics.

[3]: Lee, Sangkeum & Vecchietti, Luiz Felipe et al. (2020). Power Management by LSTM Network for Nanogrids. IEEE Access.

[4]: Lee, Sangkeum & Jin, Hojun & Vecchietti, Luiz Felipe et al. Short-term predictive power management of PV-powered nanogrids. IEEE Access, v. 8, p. 147839-147857, 2020.

[5]: Vecchietti, Luiz Felipe, et al. “Batch Prioritization in Multigoal Reinforcement Learning.” IEEE Access 8 (2020): 137449-137461.

[6]: Kim, Taeyoung & Vecchietti, Luiz Felipe et al. “Machine Learning for Advanced Wireless Sensor Networks: A Review.” IEEE Sensors Journal (2020).

[7]: Lee, Sangkeum & Jin, Hojun & Vecchietti, Luiz Felipe et al. “Power Management of Nanogrid Cluster with P2P Electricity Trading Based on Future Trends of Load Demand and PV Power Production.” arXiv preprint arXiv:2009.00863 (2020).

[8]: Kim, Sungkwan & Kim, Inhwan & Vecchietti, Luiz Felipe et al. “Pose Estimation Utilizing a Gated Recurrent Unit Network for Visual Localization.” Applied Sciences 10.24 (2020): 8876.

[9]: Lee, Sangkeum & Har, Dongsoo & Vecchietti, Luiz Felipe et al. “Optimal Link Scheduling Based on Attributes of Nodes in 6TiSCH Wireless Networks.” 한국정보기술학회논문지 18.1 (2020): 77-92.

[10]: Hong, Chansol & Jeong, Inbae & Vecchietti, Luiz Felipe et al. “AI World Cup: Robot Soccer-Based Competitions.” IEEE Transactions on Games (2021).

[11]: Kim, Taeyoung & Vecchietti, Luiz Felipe et al. “Two-stage training algorithm for AI robot soccer.” (2021).

[12]: Lee, Sangkeum & Jin, Hojun & Vecchietti, Luiz Felipe et al. “Cooperative decentralized peer-to-peer electricity trading of nanogrid clusters based on predictions of load demand and PV power generation using a gated recurrent unit model.” IET Renewable Power Generation, vol. 15, pp. 3505-3523 (2021).

[13]: Lee, Minji & Rzayev, Anar & Jung, Hyunkyu & Vecchietti, Luiz Felipe et al. “Structure-based representation for protein functionality prediction using machine learning.” in Proceedings of the Korea Computer Congress (KCC), (2022).


  • IEEE Transactions on Cybernetics
  • IEEE Sensors
  • IEEE Transactions on Games
  • ICML LatinX Workshop 2021
  • AAAI ICWSM 2022

Curriculum Vitae in PDF