活动邀请 | 新能源工程方向研究助理招募宣讲会
背景
Background
在科技的浪潮中，新能源不仅是未来能源转型的关键，也是当下最为热门的话题之一。随着智慧能源系统的兴起，我们面临的是一个充满挑战与机遇并存的全新时代。
In the wave of technology, new energy is not only the key to future energy transformation but also one of the hottest topics at present. With the rise of smart energy systems, we are facing a brand-new era filled with challenges and opportunities.
邀请函！
Invitation
新能源学会正式邀请您参加新能源科学与工程专业研究助理招募宣讲会（新能源工程方向）。
The New Energy Association cordially invites you to attend Research Assistant Recruitment Seminar on New Energy Science and Engineering (New Energy Engineering Stream).
一个开启智慧能源时代大门的钥匙
A key to unlock the door to the era of smart energy
一个深入探索新能源工程领域最新进展
An in-depth exploration of the latest developments in the field of new energy engineering
一个结识未来潜在导师以及探寻未来研究方向的绝佳平台
A perfect platform to meet potential future mentors and explore future research directions.
时间与地点
Time and Venue
时间
2024年3月10日（周日）
14:00-16:30
地点
教学楼D102
报名截止时间
2024年3月8日（周五）19:00
Date
2024 March 10 (Sunday)
Time
14:00-16:30
Venue
Teaching D 102
Registration Deadline
2024 March 8 (Friday) 19:00
报名二维码/Registration
嘉宾介绍
Guest Introduction
赵俊华教授
Prof. Junhua ZHAO
香港中文大学（深圳）理工学院副教授，深圳高等金融研究院能源市场与能源金融实验室主任，深圳数据经济研究院智能网络与清洁能源研究中心联席执行主任，招商银行总部特聘能源行业专家。长期从事智能电网、能源经济、低碳转型、人工智能等领域研究。
Associate professor at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Director of the Energy Market and Energy Finance Laboratory of the Shenzhen Institute of Advanced Finance, Co-executive director of the Intelligent Networking and Clean Energy Research Center of the Shenzhen Institute of Data Economy, and Distinguished Energy Industry Expert at the China Merchants Bank Headquarters. He has long been engaged in research in the fields of smart grid, energy economy, low-carbon transformation, and artificial intelligence.
主要研究领域
Research Areas
电力系统分析与计算
（Power system analysis and computation）
智能电网
(Smart Grid)
能源经济
(Energy Economics)
低碳转型
(Low-carbon transformation)
人工智能
(Artificial intelligence)
吴辰晔教授
Prof. Chenye WU
香港中文大学（深圳）理工学院助理教授，校长青年学者。吴教授分别于2009年，2013年在清华大学电子工程系、清华大学交叉信息研究院获得学士学位与博士学位（师从图灵奖得主姚期智院士）。吴教授主要从事电力市场设计、电网安全及风险评估、电力系统控制等研究。
Dr. Chenye Wu is currently an assitant professor and the presidential young fellow at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. Dr. Wu received his bachelor's degree in electronic engineering from Tsinghua University in 2009 and his Ph.D. degree in computer science and engineering from Tsinghua University in 2013, advised by Prof. Andrew Yao, the Turing Award Laurant. Dr. Wu's research interests span from power system control to the electricity market design, emphasizing the emerging business model design for the energy sector, the market power analysis for the electricity market, the AI-driven power system control and operation.
主要研究领域
Research Areas
未来电力市场定价和商业模式设计
（Pricing Mechanism and Business Model Design for the Future Electricity Market）
数据驱动的碳电市场金融衍生品设计与分析
(Data Driven Analytics for the Carbon-related Financial Instruments)
人工智能与数据驱动技术在电力系统控制与优化
(AI-Powered Electricity Grid Control and Operation)
唐晓莹教授
Prof. Xiaoying TANG
香港中文大学（深圳）理工学院助理教授，兼任深圳市人工智能与机器人研究院副研究员。分别于电子科技大学英才实验学院、香港中文大学信息工程系获学士、博士学位，2016至2019分别在瑞士联邦理工学院担任研究科学家以及在香港中文大学任职博士后研究员。入选龙岗区深龙英才。入选IEEE PES中国区电动汽车技术委员会委员，并担任电动汽车与能源交通系统融合技术分委会常务理事。目前主持国家自然科学基金青年项目一项。
Assistant Professor at the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, concurrently serving as Associate Researcher at the Shenzhen Institute of Artificial Intelligence and Robotics. Professor Tang obtained her Bachelor's and Ph.D. degrees from the School of Information and Electronic Engineering at the University of Electronic Science and Technology of China and the Department of Information Engineering at The Chinese University of Hong Kong, respectively. From 2016 to 2019, she served as a Research Scientist at the Swiss Federal Institute of Technology Zurich (ETH Zurich) and as a Postdoctoral Fellow at The Chinese University of Hong Kong. She is recognized as a talent in Longgang District's Shenzhen Longgang Talent Program and is a member of the IEEE PES China Electric Vehicles Technical Committee. She also serves as the Executive Director of the Subcommittee on Integration of Electric Vehicles and Energy Transportation Systems. Currently, she is leading a project funded by the National Natural Science Foundation of China's Young Scientists Fund.
主要研究领域
Research Areas
联邦学习算法理论
（Federated learning algorithm theory）
模型泛化
(Model generalization)
充电网络优化等人工智能交叉领域
(Charging network optimization and other cross-disciplinary areas of artificial intelligence)
纪冬旭教授
Prof. Dongxu JI
香港中文大学（深圳）理工学院助理教授。2018年于新加坡南洋理工大学获得博士学位。博士期间在罗尔斯罗伊斯-南洋理工联合实验室从事研究工作，2018-2019年于南洋理工大学能源研究院从事博士后研究工作。目前担任近零碳能源系统实验室主任、工业和信息化部新能源方向评审专家、热力学与能源方向顶级期刊Applied Thermal Engineering客座编辑。
Dr. Ji Dongxu obtained his PhD degree in Nanyang Technological University (NTU). His PhD work is supported by Rolls Royce @NTU Corporate Lab. Starting from 2018, he was employed as Research Fellow in the Energy Research Innovation at NTU (ERI@N), working on energy harvesting and storage. In 2019, he joined CUHK-Shenzhen.
主要研究领域
Research Areas
低品位热能利用
（Low grade thermal energy utilization）
地热能
(Geothermal energy)
温差发电
(Temperature difference power generation)
人工智能在能源中的应用
(AI+thermal energy)
雷顺波教授
Prof. Shunbo LEI
香港中文大学（深圳）助理教授、博士生导师。他于2013年获华中科技大学工学学士学位，于2017年获香港大学博士学位；先后在美国阿贡国家实验室任访问学者（2015-2017），在香港大学从事博士后研究（2017-2019），在美国密歇根大学任研究员（2019-2021）和访问研究员（2021）。发表论文50余篇，以第一作者出版Wiley-IEEE专著Power Grid Resilience Against Natural Disasters: Preparedness, Response, and Recovery，3篇第一作者论文入选ESI Top 1%高被引论文。
Shunbo LEI received his B.Eng. degree from Huazhong University of Science and Technology in 2013, and Ph.D. degree from The University of Hong Kong (HKU) in 2017. He was a visiting scholar with Argonne National Laboratory from 2015 to 2017, a postdoctoral researcher with HKU from 2017 to 2019, and a research fellow with the University of Michigan (UM)-Ann Arbor from 2019 to 2021. He is currently an assistant professor at The Chinese University of Hong Kong, Shenzhen. His research interests lie broadly in power and energy, optimization and learning.
主要研究领域
Research Areas
电力与能源系统
（Power and energy systems）
韧性综合能源系统
(Resilient integrated energy systems)
建筑-电网交互灵活性
(Building-grid interaction flexibility)
优化和学习算法
(Optimization and learning algorithms)
专业介绍
Major Introduction
新能源科学与工程专业——新能源工程方向
New Energy Science and Engineering——New Energy Engineering
新能源科学与工程专业的新能源工程方向侧重于探索“智慧能源系统”这一新兴能源发展形态，除电力系统、电机学、电力电子、新能源材料等课程外，还将学习集成电路、信号系统、高级统计学、人工智能等课程，将新能源学习与数据计算技术结合，让学生能够平衡智慧能源系统所需的能源与信息技术方面的训练，并适应目前就业市场对能源方向复合型人才的需求。毕业生将具备结合新能源与信息科学等跨学科技能，在光伏、智能电网、电动汽车、储能、工业互联网等行业具有广阔的就业前景。
The stream of new energy engineering aims to explore the "smart energy system" , which is the new form of energy development. In addition to the electric power system, electrical machinery, power electronics, new energy materials, students will also study courses including integrated circuits, signal systems, advanced statistics, artificial intelligence, etc. The combination of new energy knowledge and data computing technology guarantees a balance training of energy and information technology, which are both needed for the smart energy system and can meet the demand in the energy-related industries. With the interdisciplinary skills of new energy engineering and information science, graduates in the new energy engineering stream will become competitive candidates in the job market of photovoltaics, smart grids, electric vehicles, energy storage, industrial internet, and other fields.
结语
In The End
这不仅仅是一个学术交流的场合，更是一个能让您真正触摸到新能源领域脉搏的机会。您将有机会与这些顶尖学者面对面交流，了解他们的研究方向，探讨研究生涯中可能遇到的机遇与挑战，并寻找到属于自己的研究领域。
This is not just an academic exchange event, but also an opportunity for you to truly immerse yourself in the pulse of the field of new energy. You will have the chance to engage in face-to-face discussions with these top scholars, understand their research directions, explore the opportunities and challenges that may arise in your research career, and find your own research niche.
我们热切期待您的加入，一同在新能源工程的广阔天地中，探寻知识的海洋，发现未来的光辉。让我们在新能源的浪潮中，共同追求科技与自然的和谐，为推动全球能源转型贡献我们的力量。
We eagerly look forward to your participation, as together, we delve into the vast realm of new energy engineering, navigate the ocean of knowledge, and discover the brilliance of the future. Let us, amidst the wave of new energy, jointly pursue the harmony between technology and nature, and contribute our efforts to propel the global energy transition forward.
加入我们吧
在这里开启您的新能源探索之旅
一起定义未来能源的可能性！
Join us
Start the journey of New Energy
Let's define the possibilities of future energy!
文案
成竹 2022级理工学院 学勤书院
排版
赵浙杭 2021级理工学院 思廷书院
谢雨露 2021级理工学院 祥波书院
【END】
点击以下链接，进入理工时刻：
理工学院黄建伟教授和赵俊华教授团队与银河国际打造首只碳卫星+碳无人机+AI 算法的绿色债券
SSE Special Colloquium活动回顾 | 2024理工学院系列研讨会
活动回顾 | 清华大学未央书院学生来访香港中文大学（深圳）理工学院