Dr Mehrisadat Makki Alamdari
Senior Lecturer

Dr Mehrisadat Makki Alamdari

University of Technology, Sydney (UTS) Ph.D., Civil Engineering, 2012-2014.

University of Manitoba, Canada, M.Sc., Mechanical Engineering, 2011.

Iran University of Science and Technology, M.Sc., Aerospace Engineering, 2006-8.

Sharif University of Technology, B.Sc., Aerospace Engineering, 2002-6.

Civil and Environmental Engineering

Dr. Makki Alamdari is a Senior Lecturer in the UNSW, School of Civil and Environmental Engineering. She is the recipient of the highly competitive ARC Discovery Early Career Research Award (DECRA). Dr. Alamdari is also the winner of the prestigious JSPS Award (Japan Society for Promotion of Science). An award-winning scholar, Mehri is on the Executive of the Australian Network of Structural Health Monitoring (ANSHM), a member of The International Society for Structural Health Monitoring of Intelligent Infrastructure (ISHMII), a member of International Association for Bridge Maintenance and Safety (IABMAS), and a steering committee member in the Australia, New Zealand and Oceania Researchers in Japan Network (ANZOR Japan Network). Prior to joining UNSW, she was a research fellow in Data61|CSIRO (since 2015) working on structural health monitoring of the iconic Sydney Harbour Bridge. Dr. Alamdari's expertise is structural health monitoring, vibration analysis and testing, inverse dynamic problems and signal processing. 

Research Interests

  • Structural Health Monitoring 
  •  Structural Dynamics
  •  Signal Processing
  •  Data Mining



(+61 2) 9385 5018
Office: Room 714, Building H20, School of Civil and Environmental Engineering
  • Journal articles | 2020
    Kildashti K; Makki Alamdari M; Kim CW; Gao W; Samali B, 2020, 'Drive-by-bridge inspection for damage identification in a cable-stayed bridge: Numerical investigations', Engineering Structures, vol. 223, http://dx.doi.org/10.1016/j.engstruct.2020.110891
    Journal articles | 2018
    Du Z; Ge L; Ng AHM; Zhang Q; Alamdari MM, 2018, 'Assessment of the accuracy among the common persistent scatterer and distributed scatterer based on SqueeSAR method', IEEE Geoscience and Remote Sensing Letters, vol. 15, pp. 1877 - 1881, http://dx.doi.org/10.1109/LGRS.2018.2864274
    Journal articles | 2015
    Mustapha S; Hu Y; Nguyen K; Alamdari MM; Runcie P; Dackermann U; Nguyen VV; Li J; Ye L, 2015, 'Pattern recognition based on time series analysis using vibration data for structural health monitoring in civil structures', Electronic Journal of Structural Engineering, vol. 14, pp. 106 - 115


  • Makki Alamdari, M., Developing an Advanced Drive-by Bridge Inspection Technology, Australian Research Council/Discovery Early Career Researcher Award (DECRA), (DE210101625), $430,075, 2021-4.

  • Lu, S., Makki Alamdari, M., Kanhere, S., Harries, S., Chang, K., Kim, C., Gainnelis, N., Vio, G., A New Paradigm for Road and Bridge Infrastructure Inspection Based on Vehicle Mounted Sensing, Centre for Critical Digital Infrastructure, Computer Science and Engineering Seed Funding, $50,000, 2022.

  • Makki Alamdari, M., Atroshchenko, E., Ruiz, R., Hassan, M., Performance Optimization of Piezo-Electric Energy Harvester (PEH) for Structural Health Monitoring (SHM), The GROW (Early Career Academic Grants), $20,000, 2021.

  • Makki Alamdari, M., Valipour H., Eisentrager S., Atroshchenko E., Gao W., Kim T., Hamed E., Small Equipment Grant, University of New South Wales, $14, 215, 2021.

  • Makki Alamdari, M., Khoa Nguyen, Structural Health Monitoring, CSIRO-UNSW, (RG201872), $24,000, 2020.

  • Gao, W., Makki Alamdari, M., Valipour H., Lim S., Ge L, Small Equipment Grant, University of New South Wales, $25,400, 2018.

  • VALI POUR GOUDARZI, H., CASTEL, A., FOSTER, S., J,  HAMED, E., KIM, T.,  MAKKI ALAMDARI, M, fip - digital image correlation for measuring deformations of large specimens in heavy structures laboratory, RG182758, 2018.

  • Makki Alamdari, M., Dackermann, U., Structural Health Monitoring, CSIRO-UNSW, (RG172961), $31,222, 2017-2020.

  • Makki Alamdari, Khoa Nguyen, M., Ly, Y., Lee, V., BrIM-based Structural Life Cycle Assessment Incorporating Finite Element Analysis and Real Time Structural Monitoring Measurements, CSIRO-Monash University, $104,010, 2016-2020.

  • Chief Investigators (CI) for a research project funded by NSW Government with project fund over $700,000, National ICT Australia (NICTA), 2015.




  • Intelligent Transport Systems (ITS) Australia National Awards for 2020 https://www.cies.unsw.edu.au/news/congratulations-to-cies-researcher-dr-mehri-makki-alamdari
  • Japan Society for Promotion of Science (JSPS) Award, 2019-20.
  • The Best Paper Presentation Award, International conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-8), 2017.
  • The Most Practical SHM Solutions for Civil / Mechanical Systems Award, Stanford University, 2015.
  • Post Thesis Publication Award, University of Technology, Sydney, 2015.
  • Best Publication Award, Faculty of Engineering & Information Technology, University of Technology, Sydney, (UTS), 2015.
  • Outstanding Research Award, University of Technology, Sydney, (UTS), 2014.
  • UTS Learning 2014 Competition Award, University of Technology, Sydney, 2013, 2014.
  • Winner of the UTS Learning 2013 Competition, University of Technology, Sydney, 2013.
  • UTS President’s Scholarship (UTSP), University of Technology, Sydney, 2012.
  • International Research Scholarship (IRS), University of Technology, Sydney, 2012.
  • International Graduate Student Scholarship (IGSES), University of Manitoba, Canada, 2011.
  • Exceptional Talented Students Award, Iran University of Science and Technology, Tehran, Iran, 2007.

Postdoctoral Fellowship Position: (Status: Open)

I am hiring a Postdoctoral Research Fellow. The appointee will be responsible for developing a system identification framework based on the response of a moving vehicle. Further, it is required to design and conduct field test experiments to assess the performance of the developed framework.

Skills and Experience:

  • PhD (or soon to be awarded) in related discipline in mechanical, civil or electrical engineering with focus on system identification and inverse problems.
  • Demonstrated experience in vibration testing and measurements.


Employment Type: Full time, Fixed Term (1 Year with possible extension)

Remuneration: Level A position ($80,476 - $107,299 + 17% Super)


If interested, please send your CV and UG/PG academic transcripts to: m.makkialamdari@unsw.edu.au

Link to apply:

UNSW - Research Associate in system identification for indirect structural health monitoring (512356)

My Teaching

  • CVEN9840-Structural Health Monitoring Fundamentals and Practice
  • CVEN4308-Structural Dynamics