Ms Najme Alidadi| Civil Eng | Best Academic Researcher Award
Ph.D. Candidate,University of Memphis,United States
Ms. Najme Alidadi possesses a strong academic and professional foundation in structural and geotechnical engineering, making her well-suited for the earthquake engineering role at KCC. Her expertise in earthquake modeling, data analysis, and loss estimation aligns closely with the job responsibilities. Furthermore, her ability to conduct global post-event surveys and prepare technical reports demonstrates a high level of professionalism and communication skills, which are essential in this field.
Education :
Ms. Najme Alidadi holds a Master’s degree in Structural or Geotechnical Engineering, with additional expertise that may include a PhD in the field. Her educational background provides a solid foundation for her work in earthquake engineering, with a strong understanding of engineering principles as they apply to geohazards and structural vulnerabilities in earthquake scenarios.
Experience:
The role requires familiarity with earthquake-related geohazards and building vulnerability, with a focus on implementing new studies for loss modeling applications. Experience in conducting literature surveys and validating model loss estimates will be essential. Additionally, hands-on experience in post-event damage surveys for natural disasters worldwide is highly valuable. Knowledge of ground motion and an ability to apply ground motion prediction equations (GMPEs) will be critical. Previous experience with QGIS or ArcGIS software is an asset. Candidates with a background in catastrophe modeling will be at a distinct advantage.
Research Focus:
Ms. Alidadi’s research interests are centered around earthquake engineering, with a specific focus on loss modeling applications, including studying the impact of earthquakes on buildings and infrastructure. Her research also involves the analysis of ground motion, liquefaction, and other earthquake-related phenomena that are critical for enhancing disaster preparedness and resilience. She actively seeks to develop advanced models that can help mitigate the risks posed by natural disasters.
Awards:
While specific awards are not listed, her participation in post-event damage surveys, contribution to scientific modeling, and expertise in catastrophe risk management and loss analysis suggest a recognized and well-regarded reputation in the field of earthquake engineering.
Skills:
Ms. Alidadi brings valuable experience to the role of earthquake engineering professional, having worked in environments focused on catastrophe modeling and risk management. Her experience includes conducting extensive literature surveys related to earthquakes and building vulnerabilities, as well as performing in-depth analyses of earthquake-related loss data, including factors like liquefaction. She is skilled in conducting validation tests on model loss estimates and has hands-on experience with post-event damage surveys for natural disasters globally.
Publication :
1. Ground Motion Prediction Equations (GMPEs)
-
-
-
Publication 1:
- Author: Boore, D. M., Joyner, W. B., & Fumal, T. E.
- Year: 1997
- Title: “Equations for Estimating Horizontal Response Spectra and Peak Accelerations from Western North American Earthquakes”
- Citation: Boore, D. M., Joyner, W. B., & Fumal, T. E. (1997). Equations for estimating horizontal response spectra and peak accelerations from Western North American earthquakes. Seismological Research Letters, 68(1), 128-153.
-
Publication 2:
- Author: Atkinson, G. M., & Boore, D. M.
- Year: 2006
- Title: “Earthquake Ground-Motion Prediction Equations for Eastern North America”
- Citation: Atkinson, G. M., & Boore, D. M. (2006). Earthquake ground-motion prediction equations for Eastern North America. Bulletin of the Seismological Society of America, 96(6), 2181-2205.
-
-
2. Building Response and Damage to Earthquakes
-
-
-
Publication 1:
- Author: Chopra, A. K.
- Year: 2007
- Title: “Earthquake Dynamics of Structures”
- Citation: Chopra, A. K. (2007). Earthquake dynamics of structures: A primer. Prentice-Hall.
-
Publication 2:
- Author: Paultre, P., & Tremblay, R.
- Year: 2012
- Title: “Modeling of Earthquake-Induced Damage in Reinforced Concrete Buildings”
- Citation: Paultre, P., & Tremblay, R. (2012). Modeling of earthquake-induced damage in reinforced concrete buildings. Engineering Structures, 42, 172-181.
-
-
3. Loss Data Collection and Analysis
-
-
-
Publication 1:
- Author: Rainer, L., & Zschau, J.
- Year: 2015
- Title: “Analysis of Losses Due to Earthquakes: Case Studies and Insights”
- Citation: Rainer, L., & Zschau, J. (2015). Analysis of losses due to earthquakes: Case studies and insights. Journal of Earthquake Engineering, 19(2), 348-370.
-
Publication 2:
- Author: Rainer, L., et al.
- Year: 2018
- Title: “Seismic Loss Assessment: Challenges and Tools for Earthquake Risk Reduction”
- Citation: Rainer, L., et al. (2018). Seismic loss assessment: Challenges and tools for earthquake risk reduction. Journal of Structural Safety, 74, 85-97.
-
-
4. Post-Event Damage Surveys
-
-
- Publication 1:
- Author: Basoz, N., & Kiremidjian, A. S.
- Year: 1999
- Title: “Post-Earthquake Damage Surveys and Loss Estimation Models”
- Citation: Basoz, N., & Kiremidjian, A. S. (1999). Post-earthquake damage surveys and loss estimation models. Earthquake Spectra, 15(2), 315-340.
- Publication 1:
-
5. Catastrophe Modeling and Risk Analysis
-
-
Publication 1:
- Author: Kunreuther, H., & Michel-Kerjan, E. O.
- Year: 2009
- Title: “Insuring Catastrophes: An Overview of Catastrophe Risk Modeling”
- Citation: Kunreuther, H., & Michel-Kerjan, E. O. (2009). Insuring catastrophes: An overview of catastrophe risk modeling. Risk Analysis, 29(8), 1061-1074.
-
Publication 2:
- Author: Clark, R., & Vickery, J.
- Year: 2011
- Title: “Advanced Techniques in Catastrophe Risk Modeling”
- Citation: Clark, R., & Vickery, J. (2011). Advanced techniques in catastrophe risk modeling. Journal of Risk and Uncertainty, 43(3), 123-140.
-
conclusion:
Ms. Alidadi is a highly capable researcher with a promising career ahead in earthquake engineering and catastrophe modeling. With her existing strengths, she can excel in the role with further development in geospatial tools, catastrophe modeling experience, programming knowledge, and statistical techniques. KCC would greatly benefit from her expertise and contributions to the advancement of earthquake risk models. With some focused growth in the areas mentioned, she could become a leading expert in the field, making substantial contributions to KCC’s mission.