教育

  • PhD: Electrical Engineering, Zhejiang University, 2014
  • BS: Electrical Engineering and its Automation, Zhejiang University, 2009

Specialties / Areas of Interest

  • Quantum Computing
  • 优化
  • Renewable Energy
  • 机器学习
  • 智能电网
  • Electric Power Systems

传记

你好! I am Junpeng詹 (pronounce: June-pen), an Assistant Professor at Renewable Energy Engineering, Alfred University, starting in July 2020.

I was a 研究 Associate Electrical Engineer in the Renewables and Grid Analysis Group, Department of Sustainable Energy Technologies (changed to Interdisciplinary Science Department now), Brookhaven National Laboratory, 厄普顿, U.S.A. 从8月. 2018年至7月. 2020. I was a Postdoctoral Fellow at the University of Saskatchewan, 萨斯卡通, 加拿大, and the Hong Kong Polytechnic University, and a 访问ing 研究 Assistant at the University of Liverpool, U.K.

I enjoy teaching and doing research at the university. I am an Associate Editor of IET Generation, Transmission & Distribution and an active reviewer for 18 different journals. My research goal is to solve the challenging science and engineering problems in the power and energy fields by developing innovative and applicable methods. I am particularly interested in NP-complete problems which are one of the most important but unsolved problems in computer science and mathematics. To solve this problem, I have recently proposed a Quantum Feasibility Labeling algorithm and a hybrid classical and quantum algorithm, Variational Quantum Search.

看到我的 谷歌网站 for information about me.

奖助金:

1. “ERI: Variational Quantum Algorithm for Power System Simulation”, a two-year project awarded by U.S. NSF在三月. 2022 ($199,980, the sole principal investigator (PI))

2. “Advanced Manufacturing and Characterization 研究 of High Temperature Materials”, a five-year project funded by the U.S. Army 研究 Laboratory, approved in May 2022 ($2.7M per year, co-PI)

课程

  • Computer 援助ed Engineering
  • Power System Operation and Economics
  • 机电一体化

研究, 出版物, & 演讲

研究 & 出版物

从属关系 & 会员资格

  • Institute of Electrical and Electronics Engineers (IEEE), 美国

Areas of Concentration

  • Quantum Computing
  • 智能电网
  • 机器学习

教师/工作人员 目录

What makes a place great? The consistent hard work of its caring & friendly faculty/staff. Every person here is a valued member of a living-learning community, and it really shows.

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