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LLM agents (CS 294-196, Fa24)

less than 1 minute read

Published:

This is a series of seminars by leading researchers and innovators from both academia and industry on the topic of agents empowered by large language models (LLM-agents). I will share my summary notes based on the course materials.

portfolio

publications

Personalized local heating neutralizing individual, spatial, and temporal thermo-physiological variances in extreme cold environments

Published in Building and Environment, 2022

Personal comfort system (PCS) provides opportunity to create customized comfort with great energy saving. We are ambitious to understand its applicability and flexibility to the extreme. Users have full control on temperature of each body part with our modularized garment, and report acceptable in -15oC environment with personalized adjustments.

Recommended citation: Ju, Y., Ju, X., Zhang, H., Cao, B., Liu, B., & Zhu, Y. (2023). "Personalized local heating neutralizing individual, spatial, and temporal thermo-physiological variances in extreme cold environments." Building and Environment, 229, 109950.
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Robo-chargers: optimal operation and planning of a robotic charging system to alleviate overstay

Published in IEEE Transactions on Smart Grid, 2023

We propose to incorporate Robo-chargers to alleviate overstay and enhance station capacity. We formalize the operation and planning model as MILP with the recognition of the combinatorial nature, charging dynamics and customer behaviors. Robo-chargers are suggested to be advantageous under a wide variety of scenarios, even perturbed with uncertainties.

Recommended citation: Ju, Y., Zeng, T., Allybokus, Z., & Moura, S. (2023). "Robo-Chargers: Optimal Operation and Planning of a Robotic Charging System to Alleviate Overstay." IEEE Transactions on Smart Grid, 15(1), 770-782.
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talks

teaching

E7: Introduction to Computer Programming for Scientists and Engineers

lower-division courses, College of Engineering, University of California, Berkeley, 2024

I lead two discussion sections (50 students each) per week, and hold office hours to help students review and practice programming principles and numerical methods taught by Prof. Mahamd Hallel in the lecture.