The brain of the HumemAI agent, inspired by the cognitive science theories, is modeled with a knowledge graph, unlike other AI agents. This provides the agent with human-like memory systems, improving human and machine communication.Currently actively looking for talents and funding.

Learning and Reasoning Group.Part of the PhD program.Carried out research in AI encompassing NLP, Computer Vision, Reinforcement Learning, Knowledge Graphs, etc.Taught computer programming courses, e.g., Python, and AI courses, e.g., board games with search algorithms and machine learning.Supervised B.Sc. and M.Sc. theses.

Worked with machine learning (mostly deep learning) to improve ID card and self verification processes.Mostly dealt with speech, image, and video data.Working at a start-up has enabled me to work closely with DevOps and Front-end developers and to better understand the big picture of AI companies.

Applied robot vision with a RGBD camera.Trained computer vision deep learning models, e.g., ResNet, to extract features relevant for robotic pick and place skills.Used both RobotStudio and Robot Web Services based on RESTful APIs to interact with both virtual and real robot controllers.

Brain Signal Processing Lab.Learned mathematical and computer skills to process and visualize brain signals.Supervised by Jong-Hwan Lee