People

Saeid is currently pursuing his Ph.D. in Architectural Engineering (Structures) under the supervision of Dr. Roohi and began his studies at UNL in Spring 2023. His current research focuses on the resilience of interdependent networked infrastructure and communities subject to natural hazards such as earthquakes and tornadoes.

Education

• M.Sc., Earthquake Engineering, University of Tehran (2017)
  • M.Sc. Thesis: "Seismic Vulnerability Assessment of Concrete Gravity Dams Using Fragility Curves"
• B.Sc., Civil Engineering, University of Kurdistan (2014)

Awards

• Received travel grants to attend the Tornado Hazard Wind Assessment and Reduction Symposium (THWARTS) at the University of Illinois at Urbana-Champaign. (August 2023)
• Received a registration grant for the 2023 EERI Annual Meeting in San Francisco, California, funded by Computers and Structures, Inc. (CSI). (April 2023)
   

Pramodit is a Ph.D. student in Architectural Engineering (Structures) at the Charles W. Durham School of Architectural Engineering and Construction, under the supervision of Dr. Roohi. He joined the SiRIUS lab in Spring 2024 and has previously worked as a Research Assistant Intern at Idaho National Laboratory, Idaho Falls, ID. He earned his master's degree in Architectural Engineering from Colorado State University abd his bachelor's degree in Civil Engineering from Tribhuvan University, Kathmandu, Nepal. His research interests include community resilience, hazard simulation and reliability analysis, sustainability, energy harvesting, and fuel cells.

Education

• M.S., Civil Engineering, Colorado State University, Fort Collins, CO, USA (2020)
  • M.S. Thesis: "Life-Cycle Cost and Sustainability Analysis of Light-Frame Wood Residential Communities Exposed to Tornados"
• B.Sc., Civil Engineering, Tribhuvan University, Kathmandu, Nepal (2016)

Abdallah is pursuing his Ph.D. in Architectural Engineering under the supervision of Dr. Fadi AlSaleem and Dr. Roohi. He began his studies at UNL in Spring 2022. His current research focuses on implementing machine learning algorithms using low-power physical devices.

Education

• M.Sc., Smart Building Engineering, University of Nebraska Lincoln (2023)
  • Thesis: "Trainable Continuous Time Recurrent Network"
• M.Sc., Data Science, Princess Sumaya University for Technology (2021)
  • Thesis: "A Clustering Approach Based on Pathfinder Optimization"
• B.Sc., Computer Engineering, Jordan University of Science and Technology (2012)
  • Graduation project "Automated system for Arabic optical character recognition"

Professional Experience

• Data Scientist, AI lab for John Wiley & Sons (2019-2022)
• Software Engineer at SEDCO, Globital, and Atypon (2012-2019)
   

From 2021 to 2023, Milad conducted research under the supervision of Dr. Roohi, focusing on seismic structural monitoring of instrumented buildings. He published his research in peer-reviewed journals and presented at international conferences such as IWSHM2023, EMI2023, and IMAC2023. 

Education

• M.Sc., Earthquake Engineering, International Institute of Earthquake Engineering and Seismology, Iran
• B.Sc., Civil Engineering, University of Ilam, Iran

Aleem pursuing his Ph.D. studies in Architectural Engineering (Structures) under the supervision of Dr. Roohi. He was also a Teaching Assistant for the Engineering Mechanics: Statics class instructed by Dr. Roohi, where he was responsible for recitation classes. His research focused on flood resilience modeling. Prior to joining UNL, Aleem worked as a Structural Engineer/Design Coordinator in a construction firm in Qatar.

Education

• M.Sc., Structural Engineering, Korea Advanced Institute of Science and Technology, South Korea (2016)
  • M.Sc. Thesis: "Collapse Analysis of Reinforced Concrete Beam-Column Structures"
• B.Sc., Civil Engineering, National University of Science and Technology, Pakistan (2012)

Awards:

• Accepted into the C-GCA Pilot Program, a partnership between Kardia Group and NSF’s CMMI division, focused on innovation, panel discussions, and cognitive bias in engineering.
• Accepted to the 2024 NHERI Computational Academy with $1,500 NSF travel support. He will participate in Project 3 on ‘Equitable Emergency Response and Recovery during Flooding’ at UT Austin.