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• 微软研究院，洛斯阿拉莫斯国家实验室，哈佛大学医学院，全职研究/科研实习 —— Previous research positions at Harvard University, Los Alamos National Laboratory, and Microsoft Research
• IET/IEEE Transactions、Frontiers in Communication, Energies 特刊编委，IEEE SmartGridComm 程序委员 —— Special Issue Editors of IET/IEEE Transactions, Program Committee Member of IEEE SmartGridComm
• American Control Conference, Power Systems Computation Conference (PSCC), NeurIPS, PES General Meeting, North American Power Symposium等会议评审 —— Conference Reviewer of American Control Conference, Power Systems Computation Conference (PSCC), NeurIPS, PES General Meeting, North American Power Symposium
• E8 风投技术顾问，IOT与清洁能源领域 —— Startup Advisor at E8 in Clean Energy and IoT Fields
陈绎泽，香港科技大学（广州）人工智能学域兼任教授。曾于微软研究院，洛斯阿拉莫斯国家实验室，哈佛大学医学院进行全职研究/科研实习。任 IET/IEEE Transactions、Frontiers in Communication, Energies 特刊编委，IEEE SmartGridComm 程序委员、American Control Conference, Power Systems Computation Conference (PSCC), NeurIPS, PES General Meeting, North American Power Symposium等会议评审。主要研究方向为清洁能源系统：动态、数据驱动优化与控制、决策优化、强化学习等，发表论文30余篇，见刊于机器学习、自动控制、电力系统、运筹优化等领域。其发表论文获得IEEE PES General Meeting、Power Systems Computation Conference、ACM e-Energy 最佳论文和杰出论文3次。
Yize Chen is an Adjunct Professor of the AI Thrust, Information Hub at Hong Kong University of Science and Technology (Guangzhou) and also an Affiliated Assistant Professor of the department of Computer Science & Engineering (Clear Water Bay Campus). He was a postdoc at Berkeley Lab, from 2021 to 2022. He got his PhD degree in Electrical and Computer Engineering from University of Washington in 2021, and his bachelor degree from Chu Kochen College at Zhejiang University in 2016. His research interests lie at the intersection of machine learning, optimization, and control theory, with applications in energy systems and cyber-physical systems. He has received several prize paper awards, and held research positions in multiple institutions including Microsoft Research, Los Alamos National Laboratory and Harvard Medical School.
• 发表论文获得IEEE PES General Meeting、Power Systems Computation Conference、ACM e-Energy 最佳论文和杰出论文3次
Multiple Prize Paper Awards at IEEE PES General Meeting, Power Systems Computation Conference, and ACM e-Energy
• 清洁能源系统 Clean Energy System
• 数据驱动优化与控制 Data-Driven Optimization and Control
• 决策优化 Decision Optimization
• 强化学习 Reinforcement Learning