Research Group


Welcome to the webpage of the  Intelligent and Resilient Energy System (IRES) Research Group. Our group is a team of Ph.D., graduate, and undergraduate researchers at the Computer & Electrical Engineering and Computer Science Dept. of the Florida Atlantic University, directed by Prof. Yufei Tang. Our expertise is in Data Processing, Machine Intelligence, and Cyber-Physical Energy Systems. We work enthusiastically in these research fields to expand the theoretical understanding and provide novel high-impact solutions.


Graduate Students:

  • Min Shi, Ph.D. Student, Computer Science
  • Brit Freeman, Ph.D. Student, Electrical Engineering
  • David Wilson, Ph.D. Student, Computer Science

Undergraduate Students:

  • Nathan Witztum, Undergraduate Student, Mechanical Engineering
  • Broc Dunlap, Undergraduate Student, Mechanical Engineering

Here are some VALUES that we shared in our group and want to see in you:

  • Hard work: We expect you to have a strong work ethic. Many of us work evenings and weekends because we love our work and are passionate about the research goals. We also value velocity, and like people that get things done quickly.
  • Flexibility: You should be willing to dive into different facets of a project. For example, besides developing control and machine learning algorithms, you may also need to work on system benchmark modeling or do data acquisition. This may also require going outside your comfort zone, and learning to do new tasks in which you’re not an expert.
  • Learning: You should have a strong growth mindset, and want to learn continuously. This can involve reading papers and books, taking coursework, talking to experts, or re-implementing research papers. We will also prioritize your learning and help point you in the right direction; but you need to put in the work to take advantage of this.
  • Teamwork: We work together in small teams. You are expected to support and collaborate with others; in turn you will also receive support from your teammates.