Research activity per year

Personal profile

Personal profile

Diba Malekpour Koupaei, Ph.D., is a research fellow at the Center for Sustainable Building Research (CSBR). She earned a Ph.D. in Civil Engineering from Iowa State University in 2022 with a focus on energy efficiency assessments in the residential housing stock. Diba also holds master’s degrees in Civil Engineering (2020) and Sustainable Environments (2018), both from Iowa State University. She received her bachelor’s degree in Architectural Engineering (2015) from Art University of Isfahan.
Diba’s research interests are in energy-efficient buildings, integrated control systems for optimal building operations, and smart built environments and grids. Prior to joining University of Minnesota, Diba worked as a research analyst at the environmental non-profit Slipstream where her efforts were focused on quantifying energy systems’ performance, life cycle cost economics, and emissions reduction potential. Her work at CSBR is primarily focused on the development and administration of Minnesota’s SB 2030 Energy Standard and B3 Guidelines and Benchmarking.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 4 - Quality Education
  • SDG 7 - Affordable and Clean Energy
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production
  • SDG 13 - Climate Action

Education/Academic qualification

PhD, Civil Engineering, Iowa State University

Aug 2018Dec 2022

MSc, Civil Engineering, Iowa State University

Aug 2018Dec 2020

MSc, Sustainable Environments, Iowa State University

Aug 2017Aug 2018

Bachelors, Architectural Engineering, Art University of Isfahan

Sep 2010Sep 2015

Research Interest Keywords

  • Energy Systems Management
  • Sustainability
  • Resilience
  • Smart Grid
  • Buildings
  • Energy Efficiency


The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Collaborations and top research areas from the last five years

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