Contact Information:
Scott Campus (Omaha)
ahmad.almaghrebi@huskers.unl.edu

Degree:
Ph.D. - AREN

Advisor:
Moe Alahmad



About Me:

Academic Background

  • Ph.D., Architectural Engineering, University of Nebraska—Lincoln | present
  • M.S., Data Science, University of Nebraska —Omaha | 2021
  • M.S., Architectural Engineering, University of Nebraska—Lincoln | 2020
  • B.S., Electrical Engineering, Damascus University | 2014
Areas of Research and Professional Interest
  • Electric Vehicles 
  • Artificial Intelligence 
  • Building load profiles and load modeling analysis
  • Consumption and conservation in the built environment
  • Renewable Energy generation
Honors & Awards 
  • 2021-2022 Milton E. Mohr Graduate Fellowship 
  • 2021-2022 Graduate Research and Creative Activity (GRACA) grant 
  • 2020-2021 Graduate Research and Creative Activity (GRACA) grant 
In the News: Powered by the UNL & UNO

Dec 17, 2021The First of Many
Sep 30, 2021Ph.D. student Almaghrebi finds engineering, data science are a good mix for his future
April 6, 2021Nebraska Governance and Technology Center announces new supplemental research grants

Links:

LinkedIn : Ahmad Almaghrebi
ResearchGate : Ahmad Almaghrebi
Google Scholar : Ahmad Almaghrebi

Journals:
  • Parker, A., Alkrch, M. A., James, K., Almaghrebi, A., & Alahmad, M. A. (2021). “Framework to Develop Time-and Voltage-Dependent Building Load Profiles Using Polynomial Load Models.” IEEE Access9, 128328-128344.
  • Almaghrebi, A.; Aljuheshi, F.; Rafaie, M.; James, K.; Alahmad, M., “Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods,” Energies 2020, 13, 4231.
Conference Proceeding Papers:
  • Almaghrebi, A., Al Juheshi, F., James, K., Aljuhaishi, N., & Alahmad, M. (2021, June). “PEVs Idle Time Prediction at Public Charging Stations Using Machine-Learning Methods.” In 2021 IEEE Transportation Electrification Conference & Expo (ITEC) (pp. 1-5). IEEE.
  • Almaghrebi, A., Cheng, X., James, K., & Alahmad, M. (2021, June). “Analysis of PEV User Charging Behavior at Household Charging Stations, Omaha Case Study.” In 2021 IEEE Transportation Electrification Conference & Expo (ITEC) (pp. 561-566). IEEE.
  • Moayedi, S., Almaghrebi, A., Haase, J., Nishi, H., Zucker, G., Aljuhaishi, N., & Alahmad, M. (2020, October). “Energy Optimization Technologies in Smart Homes.” In IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 1974-1979). IEEE.
  • Almaghrebi, A., Al Juheshi, F., Nekl, J., James, K., & Alahmad, M. (2020, June). “Analysis of Energy Consumption at Public Charging Stations, A Nebraska Case Study.” In 2020 IEEE Transportation Electrification Conference & Expo (ITEC) (pp. 1-6). IEEE.
  • Almaghrebi, A., Shom, S., Al Juheshi, F., James, K., & Alahmad, M. (2019, June). “Analysis of user charging behavior at public charging stations.” In 2019 IEEE Transportation Electrification Conference and Expo (ITEC) (pp. 1-6). IEEE.
  • Moayedi, S., AlJuheshi, F., Almaghrebi, A., Haase, J., Nishi, H., Tsang, K. F., & Alahmad, M. (2018, October). “An overview of technologies for lower energy consumption in smart buildings.” In IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society (pp. 4693-4698). IEEE.