Peter Hyunseok Jang

Product Engineer @ Survalent
Research @ UofT AIPS Lab

Undergraduate Student (Honours) @
University of Toronto

hyunseok [dot] jang [at] mail [dot] utoronto [dot] ca

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About me

I am a senior undergraduate student at the University of Toronto. Currently, I am working on ML models for electric power distribution systems at Survalent, while doing research on LLMs at the AIPS Lab under the supervision of Dr. Kristen Menou.

Previously, I worked on applying ML techniques to the South Korean grid funded by the Ministry of Trade, Industry and Energy.

R&D Interests

I stand at the intersection of theoretical and applied research. I'm passionate about designing engines and intelligent agents that can operate and make decisions within cyber-physical systems, such as the smart grid. My research leverages machine learning techniques to achieve this, focusing on:

• Time-series analysis: Enabling agents to learn from and predict sensor data for informed actions and analytics.
• Multimodal learning: Equipping agents to understand and react to various real-time data streams (e.g., sensor readings, camera feeds).
• Retrieval-Augmented Generation (RAG): Allowing agents to access and utilize external knowledge for more robust decision-making.
• Graph neural networks: Helping agents reason about complex relationships within cyber-physical networks for navigation and task coordination.

By applying these techniques, I aim to develop autonomous agents capable of sensor fusion, energy management, and efficient control within complex systems.

Publications