Di Shi

Di Shi is an Associate Professor at the Klipsch School of Electrical and Computer Engineering, New Mexico State University (NMSU), holding the Paul W. and Valerie Klipsch Distinguished Professorship. He previously founded the AI energy startup AInergy, LLC and held leadership roles at GEIRI North America, NEC Laboratories America, and Arizona State University.

• Education:
  • PhD in Electrical Engineering, Arizona State University (2012)
  • MS in Electrical Engineering, Arizona State University (2009)
  • BS in Electrical Engineering, Xi'an Jiaotong University (2007)

His research focuses on power system data analytics, energy storage, artificial intelligence, and IoT applications for grid stability and renewable integration. His work bridges theoretical innovation with real-world deployment, including software adopted by 15 utility companies.

Recent publications highlight his leadership in deep reinforcement learning for grid control, blockchain frameworks for energy management, and tensor decomposition for efficient load modeling. He has secured a $6M NSF grant for AI-driven digital twinning to address climate-aware energy resilience.

Awards & Recognition:

• 2025 Paul W. and Valerie Klipsch Distinguished Professorship
• 2024 University Research Council Mid-Career Award
• 2024 IET Fellow
• Multiple IEEE Best Paper Awards (2019–2022)
• 2019 L2RPN AI Competition Championship

He serves as an editor for IEEE Transactions on Power Systems, IET Generation, Transmission & Distribution, and other journals, and leads the IEEE Task Force on IoT for Power Systems. His team’s patents cover AI-driven load modeling, energy storage scheduling, and state estimation, with 42 granted or pending.