Biography
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...view more
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 the International Association for Bridge Maintenance and Safety (IABMAS), and a steering committee member in Australia, New Zealand and Oceania Researchers in Japan Network (ANZOR Japan Network). Prior to joining UNSW, she was a research fellow in Data61|CSIRO. Dr. Alamdari has contributed to the development and deployment of SHM systems for several large-scale bridges including the iconic Sydney Harbour Bridge in Sydney, and the Gateway Bridge in Brisbane. For these contributions, she and her team have been awarded Intelligent Transport Systems (ITS) Australia National Awards in 2020 and the Most Practical SHM Solutions for Civil / Mechanical Systems Award from Stanford University in 2015. Dr. Alamdari’s expertise is vibration analysis and testing, inverse dynamic problems and signal processing. Dr. Alamdari is an Associate Editor of the International Measurement Confederation (IMEKO) [Elsevier].
Research Interests
- Structural Health Monitoring
- Structural Dynamics
- Signal Processing
- Data Mining
My Grants
- 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.
- RESILIENT AND INTELLIGENT INFRASTRUCTURE SYSTEMS, Industrial Transformation Research Hubs, (IH210100048), $5,087,843, 2022-7.
- 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.
My Qualifications
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.
My Awards
- 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.
My Research Activities
Professional Services:
Associate Editor, Journal of the International Measurement Confederation (IMEKO) [Elsevier]
Associate Editor, Measurement: Sensors [Elsevier]
Current Service Roles:
• Research Committee, UNSW, Member
My Engagement
PhD Scholarship Opportunity for Structural Integrity Assessment of Port Systems at UNSW Civil and Environmental Engineering.
The main objectives of this research are to: i) develop a comprehensive methodology for the detection and localization of anomalies and defects in underwater systems using the advances in dynamic signature analytics, sensing technologies, and data analytics, ii) evaluate the performance and accuracy of the proposed methodology compared to conventional methods of structural integrity assessment, and iii) provide a more efficient and accurate means of assessing the structural integrity of these underwater systems. This research is supported by RIIS Hub: Resilient and intelligent infrastructure systems and the Australian Research Council.
Duration: 3.5 year fixed-term appointment
Remuneration: Successful applicants will receive a tax-free stipend at the value of $37,684 per annum, top-up scholarships are also available to eligible applicants. Additional financial support is available through research and teaching assistants, along with opportunities for funded travels to national and international conferences.
Eligibility:
- Graduated from the top ranking Universities in your country with GPA of above 85%
- Have research experience and at least one journal publication as a first author in a high-ranking journal
-Research experience in signal processing, measurement and testing as well as data analytics
If you are an outstanding local or an international student, and you are looking for rigorous graduate research training and want to make a substantial contribution to research, please send an email to me (m.makkialamdari@unsw.edu.au) including the following documents:
- Your CV, including your research and publications
- A copy of your academic transcripts (UG/PG)
- Evidence of English language proficiency
- A 1-2 page cover letter outlining your research skills, and research experience with a focus on the skillset relevant to this PhD project
********************************************************************************************************************************************************
PhD Scholarship Opportunity
Title: Metamaterial-Based Sensor for Structural Health Monitoring (SHM)
Project Overview:
Current sensing technologies for Structural Health Monitoring (SHM) face significant limitations, particularly in hard-to-reach or moving parts of structures. Challenges include the need for wired connections, in-situ power supplies, and restricted physical access.
This PhD project aims to revolutionize SHM systems by embedding self-sensing capabilities directly into structural components. Leveraging cutting-edge metamaterial design and additive manufacturing techniques, the project will develop smart, responsive materials capable of autonomously detecting and reporting structural integrity in real-time.
Position Details:
- Duration: 3.5-year fixed-term appointment
- Stipend: $37,684 per annum (tax-free)
- Additional Benefits: Top-up scholarships may be available for eligible applicants. Additional financial support is offered through research and teaching assistant positions. Opportunities for funded travel to national and international conferences are also provided.
Eligibility Criteria:
- Graduated from a top-ranking university in your country, with a GPA of 85% or above, in Physics or Electrical Engineering.
- Demonstrated research experience with at least one first-author publication in a high-ranking journal in a relevant field.
- Recommended skillsets:
- Electromagnetism, Solid-State Physics, and Wave Propagation
- Optics and Materials Science
- Signal Processing
- Multiphysics Simulation
- Topology Optimization
How to Apply:
If you are an outstanding local or international student looking for rigorous graduate research training and an opportunity to make a substantial contribution to cutting-edge research, please send an email to m.makkialamdari@unsw.edu.au with the following documents:
- Your CV (including research experience and publications)
- A copy of your academic transcripts (undergraduate and postgraduate)
- Evidence of English language proficiency
- A 1-2 page cover letter outlining your skills and research experience, with a focus on those relevant to this PhD project
This project will be jointly supervised by academics from the School of Electrical Engineering and Telecommunications, School of Biomedical Engineering and School of Physics.
My Teaching
- Postgraduate Course: CVEN9840-Structural Health Monitoring Fundamentals and Practice
- Undergraduate Course: CVEN4308-Structural Dynamics