Maryam Hojati


Phone: 505-500-4260
Fax: 505-277-1988

Physical Address

Room 3043
Centennial Engineering Center
Building # 112 on the UNM map

Mailing Address

01 1070
1 University of New Mexico
Albuquerque, NM 87131-1070

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Assistant Professor

Civil, Construction and Environmental Engineering


PhD, Civil Engineering, Pennsylvania State University

MS, Civil and Environmental Engineering (Geo and Material Eng. Program), Pennsylvania State University

MS, Civil and Environmental Engineering (Structural and Earthquake Eng. Program), Amirkabir University of Technology


Dr. Maryam Hojati is an assistant professor in Civil, Construction, and Environmental Engineering at the University of New Mexico (UNM). She received her Ph.D. in 2017 from the Pennsylvania State University. During her academic experience, she worked on a variety of research studies that equipped her with the skills to conduct diverse research in material, structure, and application of additive manufacturing in construction. She was involved in multi phases of the NASA Centennial Challenge from 2016 to 2019 NASA to build a 3D-printed habitat for deep space exploration. She joined the CCEE department at UNM in Aug. 2019 and is currently working with a team of undergraduate and graduate students at UNM. Her research addresses three critical areas in the construction industry, including (1) designing and constructing resilient infrastructures (2) building affordable houses, and (3) designing sustainable construction materials and practices on the earth and beyond.

Teaching Interests

  • Advanced Construction Technologies
  • Infrastructure Materials Science
  • Concrete Materials and Durability
  • Design of Reinforced Concrete
  • Statics

Research Interests

  • Design and Development of Innovative, Smart, and Green Infrastructure Materials
  • Additive Manufacturing or Digital Construction of Affordable Housing by Concrete/Soil
  • Additive Manufacturing of Resilient Infrastructure by Novel Construction Materials
  • Incorporating Additive Manufacturing and Machine Learning Techniques for the Autonomous Construction of Houses and Infrastructures
  • Digital Manufacturing of Materials for the Space Projects
  • Evaluation and Experimental Study of the Fresh/ Hardened Materials Properties Suitable for Digital Construction