• Họ tên : LƯU THỊ DIỆU CHINH
  • M/F : Nữ
  • Hiện trạng công tác : Đang giảng dạy
  • Học vị : TS
  • Học hàm – chức danh : Phó giáo sư
  • Email : chinhltd@huce.edu.vn

ĐÀO TẠO

Đại học: Kỹ sư Xây dựng, Trường Đại học Xây dựng Hà Nội, Việt Nam (2006)

Thạc sĩ: Kỹ thuật Xây dựng, Trường Đại học Xây dựng Hà Nội, Việt Nam (2011)

Tiến sĩ: Quản lý thiên tai, Đại học Newcastle, Úc (2018)

– Luận án: “Flood risk analysis and spatial flood risk assessment for Vietnam” (Hướng dẫn: Dr. Jason von Meding)

HƯỚNG NGHIÊN CỨU CHÍNH

  • Khoa học dữ liệu ứng dụng trong quản lý rủi ro thiên tai
  • Quản lý thiên tai và thích ứng với biến đổi khí hậu
  • Các loại hình thiên tai: lũ lụt, sạt lở, xâm nhập mặn, hạn hán, sóng nhiệt
  • GIS, viễn thám, Google Earth Engine, học máy
  • Các phương pháp phân tích định tính và định lượng

QUÁ TRÌNH CÔNG TÁC

ĐỀ TÀI NGHIÊN CỨU

  1. 2025–2027: ComDisp (Community-Centered Modeling of Housing Related Health Disparities) – Belmont Forum, PI tại Việt Nam (€300,000).
  2. 2022–2027: GEOSCIRE (Ứng dụng dữ liệu không gian & khoa học công dân hỗ trợ phát triển bền vững) – VLIR-UOS, PI tại Việt Nam (€300,000).
  3. 2024–2025: Hệ thống cảnh báo lũ sớm (Hệ thống cảnh báo lũ sớm bằng IoT và học máy tại Quảng Nam) – Aus4Skills, PI ($15,000).
  4. 2024–2025: Đánh giá rủi ro xâm nhập mặn trong điều kiện biến đổi khí hậu tại ĐBSCL – Bộ Giáo dục và Đào tạo, Chủ nhiệm
  5. 2020–2023: Xây dựng bản đồ rủi ro lũ tỉnh Quảng Bình bằng mô hình học máy và MCDM – Nafosted, Chủ nhiệm

SÁCH VÀ GIÁO TRÌNH

  1. “Analysing flood fatalities in Vietnam using statistical learning”, chương sách trong sách của Springer (2019).
  2. Công nghệ GIS, sách Giáo trình, Nhà xuất bản Tài nguyên môi trường và bản đồ Việt Nam (2023)

CÔNG TRÌNH KHOA HỌC ĐÃ CÔNG BỐ

  1. Chinh Luu, Hang Ha*, Xuan Thong Tran, Thai Ha Vu, Quynh Duy Bui, Landslide susceptibility and building exposure assessment using machine learning models and geospatial analysis techniques, Advances in Space Research, 2024, https://doi.org/10.1016/j.asr.2024.08.046
  2. Bui, Q.D., Luu, C.*, Ha, H. and Nguyen, V.P., 2024. A holistic approach to salinity intrusion vulnerability assessment using geospatial technologies: An application for the Mekong Delta of Vietnam. International Journal of Disaster Risk Reduction, 113, p.104854, https://doi.org/10.1016/j.ijdrr.2024.104854
  3. Vu Minh Tuan, Luu, C., Bui, Q. Simulation of hydrodynamic changes and salinity intrusion in the Lower Vietnamese Mekong Delta under climate change-induced sea level rise. Regional Studies in Marine Science. https://doi.org/10.1016/j.rsma.2024.103749
  4. Luu, C.*, Forino, G., Yorke, L., Ha, H., Bui, Q. D., Tran, H. H., Nguyen, D. Q., Duong, H. C., and Kervyn, M.: Integrating multi-hazard susceptibility and building exposure: A case study for Quang Nam province, Vietnam, NHESS, https://doi.org/10.5194/egusphere-2024-57
  5. Ha, H., Bui, Q. Luu, C., Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-04694-3
  6. Luu, C.*, Ha, H., Bui, Q. (2023) Landslide and flash flood susceptibility analysis on a mountainous highway of Vietnam using spatial modeling. Quaternary Science Advances. https://doi.org/10.1016/j.qsa.2023.100083
  7. Ha, H., Bui, Q.D., Vu, D.C. Luu, C. Landslide spatial prediction utilizing fuzzy unordered rules induction ensemble models: a case study in Thai Nguyen, Vietnam. Model. Earth Syst. Environ. (2023). https://doi.org/10.1007/s40808-023-01888-y
  8. Sy, H.M., Luu, C.*, Bui, Q.D., Ha, H. and Nguyen, D.Q. (2023). Urban flood risk assessment using Sentinel-1 on the google earth engine: A case study in Thai Nguyen city, Vietnam. Remote Sensing Applications: Society and Environment, 31, pp.100987. https://doi.org/10.1016/j.rsase.2023.100987
  9. Luu, C., Ha, H., Bui, Q.D., Dao D.T. (2023). Building drought classification map with Landsat 8 image data in Bac Binh district, Binh Thuan province. Journal of Science and Technology in Civil Engineering (STCE) – HUCE, 17(2), 120-132. https://doi.org/10.31814/stce.huce2023-17(2)-11
  10. Luu, C., Hang Ha. (2023) An analysis of the relative variable importance to flood fatality using a machine learning approach. Journal of Science and Technology in Civil Engineering. https://doi.org/10.31814/stce.nuce2023-17(1)-10
  11. Bui, Q., Ha, H., Nguyen, Q.D., Luu, C. Landslide susceptibility prediction mapping with advanced ensemble models: Son La province, Vietnam. Natural Hazards. https://doi.org/10.1007/s11069-022-05764-3
  12. Bui, Q.*; Luu, C.*, Ha, H., Pham, B. Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process. Risk Analysis. https://doi.org/10.1111/risa.14018
  13. Ha, H., Luu, C., Bui, Q. A machine learning approach in spatial predicting of landslides and flash flood susceptible zones for a road network. Modeling Earth Systems and Environment. https://doi.org/10.1007/s40808-022-01384-9
  14. Luu, C.*, Bui, Q., von Meding, J. Mapping flood impacts from 2020 extreme flood event in Vietnam using GIS techniques (2022). International Journal of Disaster Resilience in the Built Environment. https://doi.org/10.1108/IJDRBE-07-2021-0070
  15. Ha, H., Luu, C.*, Pham, B., and Bui Q., A practical approach for assessing flood hazard, vulnerability and risk: A case study in Quang Binh Province of Vietnam (2022). Environment, Development and Sustainability. https://doi.org/10.1007/s10668-021-02041-4
  16. Luu, C.*, Bui Q., Nguyen L., Nguyen T., Pham, B. GIS-Based Hybrid Computational Approaches for Prediction of Flood in Quang Binh, Vietnam. (2021). Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2021.126500
  17. Luu, C.*, Bui, Q., Nguyen L., Nguyen T., Pham, B. Flood-prone area mapping using machine learning techniques: A case study of Quang Binh province, Vietnam (2021). Natural Hazards. https://doi.org/10.1007/s11069-021-04821-7
  18. Ha, H., Luu, C.*, Bui, Q., Pham, H., Hoang, T., Nguyen P., Vu T., Pham, B. Flash flood susceptibility prediction mapping for a road network using hybrid machine learning models (2021). Natural Hazards. https://doi.org/10.1007/s11069-021-04877-5
  19. Luu, C.*, Nguyen, D., Bui, Q., Tran P., Prakash I., Pham, B.*, Flood susceptibility modeling using Radial Basis Function Classifier and Fisher’s linear discriminant function. (2021). Vietnam Journal of Earth Sciences. https://doi.org/10.15625/2615-9783/16626
  20. Pham, B.*; Luu, C.*; Dao, D.; Tran, P.; Nguyen, D.; Le, H.; von Meding, J.; Prakash, I., Flood risk assessment using deep learning integrated with multi-criteria decision analysis. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2021.106899
  21. Pham, B.; Luu, C.*; Dao, D., Tran; P; Nguyen, D.; Le H., von Meding, J.; Prakash, I., Flood Risk Assessment Using Hybrid Artificial Intelligence Models Integrated with Multi-Criteria Decision Analysis in Quang Nam Province, Vietnam (2021) . Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.125815
  22. Pham, B., Luu, C., Nguyen, H., Tran, P., Phan T., Renoud, Shirzadi, A., S., Asadi, S., Le, H., von Meding, J. (2020), Can Deep Learning Algorithms Outperform Benchmark Machine Learning Algorithms in Flood Susceptibility Modeling? (2020) Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2020.125615
  23. Nguyen, T., Ngo, H., Guo W., Nguyen, Q., Luu, C., Dang, B., Liu, Zhang, X., (2020), New approach of water quantity vulnerability assessment using satellite images and GIS-based model: An application to a case study in Vietnam, 737(), 139784. Science of The Total Environment. https://doi.org/10.1016/j.scitotenv.2020.139784
  24. Luu, C.*, Tran, H., Pham B., Tran, T., Duong, N., Dao, N., Nguyen D., von Meding, J. (2020), Framework of Spatial Flood Risk Assessment for A Case Study in Quang Binh Province, Vietnam. Sustainability. https://doi.org/10.3390/su12073058
  25. Jaafari, A., Dao, D., Mafi-Gholami, D., Bayat, M., Moayedi, H., Tran, P., Ly, H-B., Le, T-T., Phan, T., Duong, T., Luu, C., Nguyen, Q., Bui, T., Pham, B. (2020), A spatially explicit deep learning model for prediction of landslide susceptibility: a case study from northern Vietnam, 188, 104451. Catena. https://doi.org/10.1016/j.catena.2019.104451
  26. Nhu H, Shirzadi A., Shahabi H., Singh K, Al-Ansari N., Clague J., Chen W., Miraki S., Dou J., Luu C., Pham B., Nguyen D., Ahmad B., (2020) Comparisons of Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine for Shallow Landslide Susceptibility Mapping. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17082749
  27. Luu, C.*, von Meding, J. & Mojtahedi M. (2019), Analysing Vietnam’s national disaster loss database for flood risk assessment using multiple linear regression-TOPSIS, 40(), 101153. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2019.101153
  28. Luu, C.*, von Meding, J. & Kanjanabootra, S. (2018), Assessing flood hazard using flood marks and analytic hierarchy process approach: a case study for the 2013 flood event in Quang Nam, Vietnam. Natural Hazards, 90 (3), 1031-1050. https://doi.org/10.1007/s11069-017-3083-0
  29. Luu, C.* & von Meding, J. (2018), A flood risk assessment of Quang Nam province using spatial multi-criteria decision analysis. Water Vol. 10, pp. 461. https://doi.org/10.3390/w10040461
  30. Luu, C.*, von Meding, J. & Kanjanabootra, S. (2018), Flood risk management activities in Vietnam: a study of local practice in Quang Nam province, 28(), 776-787. International Journal of Disaster Risk Reduction. https://doi.org/10.1016/j.ijdrr.2018.02.006
  31. Luu, C.*, von Meding, J. & Kanjanabootra, S. (2017), Balancing costs and benefits in Vietnam’s hydropower industry: A strategic proposal, International Journal of Disaster Resilience in the Built Environment, 8 (1), 27-39. http://dx.doi.org/10.1108/IJDRBE-05-2016-0018
  32. Luu, C.* & Luu, H. 2014, Effect of permeability of dam body and foundation on the free surface (in Vietnamese), Journal of Science and Technology in Civil Engineering, 18 (2), 73-79.