Roshira Premadasa, Ph.D.

EC2, Hernandez Hall, Room 212
roshirap@nmsu.edu

Research Website

https://www.meta-matter.com/

Education

  • Ph.D. – Civil Engineering, 2026, New Mexico State University
  • M.Sc. – Civil Engineering, 2025, New Mexico State University
  • B.Sc. – Civil Engineering, 2022, Sri Lanka Institute of Information Technology

Professional History

    • 2026 – Present, Assistant Professor, Department of Civil and Environmental Engineering, New Mexico State University
    • 2023 – 2026, Graduate Research Assistant, Department of Civil and Environmental Engineering, New Mexico State University

Research Interests

      • Multifunctional Materials
      • Cementitious Composites
      • Additive Manufacturing
      • Structural Health Monitoring
      • Energy Harvesting
      • Machine Learning
      • Soft Robotics

Select Publications

[1] R. Premadasa et al., “Tunable Plug‐and‐Play Meta‐Nanogenerator Materials for Multi‐Range Force Measurements,” Adv. Sci., p. e00009, Jan. 2026, doi: 10.1002/advs.202600009.

[2] R. Premadasa, Z. Wan, P. Almasi, A. Alavi, and Q. Zhang, “Digital Shape-Morphing Thermo-Mechanical Metamaterials,” Mater. Horiz., p. 10.1039.D5MH02021B, 2026, doi: 10.1039/D5MH02021B.

[3] R. Premadasa, R. Maharjan, P. Almasi, and Q. Zhang, “Meta-tribo Materials: Enabling Advanced Multifunctional Materials Through Synergies of Mechanical Metamaterials and Triboelectric Nanogenerators,” Nano Energy, p. 112030, May 2026, doi: 10.1016/j.nanoen.2026.112030.

[4] R. Premadasa et al., “Emerging mechanical metamaterials for future civil engineering,” Mater. Today, vol. 98, p. 103419, Sep. 2026, doi: 10.1016/j.mattod.2026.103419. [5] R. Premadasa et al., “CFTrack: Advanced Diagnostic, Monitoring, and Tracking Device for Cystic Fibrosis Care,” ACS Sens., vol. 9, no. 11, pp. 5915–5925, Nov. 2024, doi: 10.1021/acssensors.4c01669.

[6] P. Almasi, R. Premadasa, D. Jauregui, and Q. Zhang, “End-to-End UAV-Enabled Bridge Deck Inspection: From Localization to High-Precision Crack Detection and Quantification,” J. Bridge Eng., vol. 31, no. 9, p. 04026049, Sep. 2026, doi: 10.1061/JBENF2.BEENG-8159.

[7] P. Almasi, R. Premadasa, D. Jauregui, and Q. Zhang, “Automated Bridge Deck Health Evaluation Aligned with National Bridge Inventory Ratings via Unmanned Aerial Vehicle Imaging and Label-Free Sparse Autoencoder-Based Anomaly Mapping,” Transp. Res. Rec. J. Transp. Res. Board, p. 03611981261457110, Jun. 2026, doi: 10.1177/03611981261457110