Mahyat Shafapour Tehrany

Dr. Öğretim Üyesi
mahyat.shafapour@boun.edu.tr
Telefon: 
+90 216 516 33 52
İLETİŞİM: 

Boğaziçi Üniversitesi 
Kandilli Rasathanesi ve Deprem Araştırma Enstitüsü  Jeodezi Anabilim Dalı, 34680
Çengelköy, İstanbul –TÜRKİYE 
Tel: +90 216 5163352
E-mail: mahyat.shafapour@boun.edu.tr

EĞİTİM: 

Ph.D.  Geomatic and GIS, University Putra Malaysia, Malaysia (2013-2015).
M.Sc. Remote sensing and GIS, University Putra Malaysia, Malaysia (2011-2013).
B.S.   Environmental Engineering - Major:  Natural Resources Engineering-Environment, Allameh Mohaddes Nouri, Noor, Iran (2004-2008).

ARAŞTIRMA ALANLARI: 
  • Doğal Tehlikeler, Çevresel ve Doğal Kaynaklar Uygulamaları
  • Uzaktan Algılama ve Görüntü İşleme
  • CBS tabanlı Bütünleşik Modelleme
  • Doğal Afet Veri Bilgi ve Yönetim Sistemi
  • Zaman serisi analizi
  • Arazi Yüzeyi, Çevresel Süreç Çalışmaları için Mekansal Veri Tabanı Tasarımı, Analizleri ve Yönetimi
  • CBS ve Uzaktan Algılama Verilerini Kullanarak Hasar Görebilirlik, Güvenlik Açığı ve Risk Modelleri Geliştirme
  • Derin Öğrenme Yöntemleri ile Tehlike Modellemeleri

 

Yayınlar: 

A.Uluslararası Makaleler:

A1. MS Tehrany, H Özener, B Kalantar, N Ueda, MR Habibi, F Shabani, V Saeidi, F Shabani, 2021. Application of an Ensemble Statistical Approach in Spatial Predictions of Bushfire Probability and Risk Mapping. Journal of Sensors (Q1).

A2. K Tshering, P Thinley, M Tehrany, U Thinley, F Shabani, 2020. A comparison of the qualitative Analytic Hierarchy Process and the quantitative Frequency Ratio techniques in predicting forest fire-prone areas in Bhutan using GIS. Forcasting (Q2).

A3. F Shabani, M Ahmadi, L Kumar, S Solhjouy-fard, M Tehrany, FZ Shabani, 2020. Invasive weed species threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate. Ecological Indicators (Q1).

A4. Shafapour Tehrany, M., Jones, S., Shabani, F, 2019. Identifying the Essential Flood Conditioning Factors for Flood Prone Area Mapping Using Machine Learning Techniques for consideration to Journal of Hydrology. Catena (Q1).

A5. MS Tehrany, S Jones, F Shabani, F Martínez-Álvarez, DT Bui, 2019. A novel ensemble modeling approach for the spatial prediction of tropical forest fire susceptibility using logitboost machine learning classifier and multi-source geospatial data. Theoretical and Applied Climatology (Q2).

A6. MS Tehrany, L Kumar, F Shabani, 2019. A Novel GIS-Based Ensemble Technique for Flood Susceptibility Mapping Using Evidential Belief Function and Support Vector Machine: Brisbane, Australia. PeerJ (Q1).

A7. M Shafapour Tehrany, L Kumar, M Neamah Jebur, F Shabani, 2019. Evaluating the application of the statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods. Geomatics, Natural Hazards and Risk (Q1).

A8. Shafapour Tehrany, M., Kumar L. 2018. The application of a Dempster-Shafer-based evidential belief function in flood susceptibility mapping and comparison with frequency ratio and logistic regression methods. Environmental earth sciences (Q2).

A9. Shabani F, Tehrany MS, Solhjouy-fard S, Kumar L. 2018. A comparative modeling study on non-climatic and climatic risk assessment on Asian Tiger Mosquito (Aedes albopictus). PeerJ (Q1).

A10. Shafapour Tehrany, M., Kumar, L., Jebur, M. 2018. Evaluating the application of statistical index method in flood susceptibility mapping and its comparison with frequency ratio and logistic regression methods. Geomatics Natural Hazards and Risk (Q1).

A11. Shafapour Tehrany, M., Jones, S., Shabani, F; Francisco Martínez Álvarez; Quang-Thanh Bui; Dieu Tien Bui 2018. A Novel Ensemble Modeling Approach for the Spatial Prediction of Tropical Forest Fire Danger Using Logitboost Machine Learning Classifier and Multi-source Geospatial Data. Theoretical and Applied Climatology (Q2).

A12. Kumar, L. and Shafapour Tehrany, M. 2017. Climate change impacts on the threatened terrestrial vertebrates of the Pacific Islands. Scientific Reports, Nature Publishing Group (Q1).

A13. Shafapour Tehrany, M. Kumar, L. and Drielsma, M. 2017. Review of native vegetation condition assessment concepts, methods and future trends'. Journal for Nature Conservation (Q1).

A14. Shafapour Tehrany, M. Shabani, F. Jebur, M. Hong. Chen, W. and Xie, X. 2017. GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques. Geomatics, Natural Hazards and Risk (Q1).

A15. Shafapour Tehrany, M. Shabani, F. Javier, D. and Kumar, L. 2017. Soil erosion susceptibility mapping for current and 2100 climate conditions using evidential belief function and frequency ratio. Geomatics Natural Hazards and Risk (Q1).

A16. Shafapour Tehrany, M. Jones, S., 2017. Evaluating the variations in the flood susceptibility maps accuracies due to the alterations in the type and extent of the flood inventory. ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.

A17. Shafapour Tehrany, M., & Kumar, L. 2016. The application of a Dempster–Shafer-based evidential belief function in flood susceptibility mapping and comparison with multivariate and bivariate statistical methods. Geomatics, Natural Hazards and Risk (Q1)

A18. Shafapour Tehrany, M., & Kumar, L. 2016. A Novel GIS-Based Ensemble Technique for Flood Susceptibility Mapping Using Evidential Belief Function and Support Vector Machine. Catena (Q1).

A19. Pradhan, B., Shafapour Tehrany, M., & Jebur, M. N. 2016. A New Semiautomated Detection Mapping of Flood Extent From TerraSAR-X Satellite Image Using Rule-Based Classification and Taguchi Optimization Techniques. IEEE Transactions on Geoscience and Remote Sensing (Q1).

A20. Pradhan, B., Jebur, M. N., Shafri, H. Z. M., & Shafapour Tehrany, M. 2016. Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery. IEEE Transactions on Geoscience & Remote Sensing (Q1).

A21. Shafapour Tehrany, M., Pradhan, B., & Jebur, M. N. 2015. Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method. Stochastic Environmental Research and Risk Assessment (Q1).

A22. Shafapour Tehrany, M., Pradhan, B., Mansor, S., & Ahmad, N. 2015. Flood susceptibility assessment using GIS-based support vector machine model with different kernel types. Catena (Q1).

A23. Jebur, M. N., Pradhan, B., & Shafapour Tehrany, M. 2015. Manifestation of LiDAR-Derived Parameters in the Spatial Prediction of Landslides Using Novel Ensemble Evidential Belief Functions and Support Vector Machine Models in GIS. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Q1).

A24. Jebur, M. N., Pradhan, B., & Shafapour Tehrany, M. 2015. Using ALOS PALSAR derived high-resolution DInSAR to detect slow- moving landslides in tropical forest: Cameron Highlands, Malaysia. Geomatics, Natural Hazards and Risk (Q1).

A25. Shafapour Tehrany, M., Pradhan, B., & Jebur, M. N. 2014. Flood susceptibility mapping using a novel ensemble weights-of- evidence and support vector machine models in GIS. Journal of Hydrology (Q1).

A26. Shafapour Tehrany, M., Lee, M. J., Pradhan, B., Jebur, M. N., & Lee, S. 2014. Flood susceptibility mapping using integrated bivariate and multivariate statistical models. Environmental Earth Sciences (Q2).

A27. Shafapour Tehrany, M., Pradhan, B., & Jebu, M. N. 2014. A comparative assessment between object and pixel-based classification approaches for land use/land cover mapping using SPOT 5 imagery. Geocarto International.

A28. Jebur, M. N., Pradhan, B., & Shafapour Tehrany, M. 2014. Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale. Remote Sensing of Environment (Q1).

A29. Jebur, M. N., Mohd Shafri, H. Z., Pradhan, B., & Shafapour Tehrany, M. 2014. Per-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery. Geocarto International (Q1).

A30. Jebur, M. N., Pradhan, B., & Shafapour Tehrany, M. 2014. Detection of vertical slope movement in highly vegetated tropical area of Gunung pass landslide, Malaysia, using L-band InSAR technique. Geosciences Journal (Q2).

A31. Jebur, M. N., Pradhan, B., Mohd Shafri, H. Z., & Shafapour Tehrany, M. 2014. An integrated user-friendly ArcMAP tool for bivariate statistical modeling in geoscience applications. Geoscientific Model Development (Q1).

A32. Pradhan, B., Abokharima, M. H., Jebur, M. N., & Shafapour Tehrany, M. 2014. Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS. Natural Hazards (Q1).

A33. Siyahghalati, S., Saraf, A. K., Pradhan, B., Jebur, M. N., & Shafapour Tehrany, M. 2014. Rule-based semi-automated approach for the detection of landslides induced by 18 September 2011 Sikkim, Himalaya earthquake using IRS LISS3 satellite images. Geomatics, Natural Hazards and Risk (Q1).

A34. Umar, Z., Pradhan, B., Ahmad, A., Jebur, M. N., & Shafapour Tehrany, M. 2014. Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia. Catena (Q1).

A35. Pradhan, B., Hagemann, U., Shafapour Tehrany, M.,& Prechtel, N. 2014. An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image. Computers & Geosciences (Q1).

A36. Shafapour Tehrany, M., Pradhan, B., & Jebur, M. N. 2013. Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS. Journal of Hydrology (Q1).

A37. Shafapour Tehrany, M., Pradhan, B., & Jebur, M. N. 2013. Remote sensing data reveals eco-environmental changes in urban areas of Klang Valley, Malaysia: contribution from object based analysis. Journal of the Indian Society of Remote Sensing (Q2).

B. Uluslararası Bildiriler

B1. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W5, 2017 GGT 2017, 4 October 2017, Kuala Lumpur, Malaysia

DENEYİM: 
  • Bussiness development manager: Parametre Research İnformation Planning Co. Ltd., Istanbul, Turkey, (Jan 2020 - Aug2021).
  • Postdoctoral Fellow: Boğaziçi University Kandilli Observatory and Earthquake Research Institute, (Apr 2019 - Jun 2019).
  • Vice-Chancellor's Postdoctoral Fellow: Royal Melbourne İnstitute Of Technology (RMIT) University, Melbourne, Australia, (Mar 2017 - Mar 2019).
  • Research Assistant: University of New England, Australia, (Apr 2016 - Mar 2017).   
  • Postdoctoral fellow: University Putra Malaysia, Malaysia, (Oct 2015 - Feb 2016).
  • Research Assistant: University Putra Malaysia, Malaysia, (Feb 2013 - Aug 2015).

PROJELER

  • Study on spectral bands synthesis for mineral identification and prediction in Malaysia ‎using ‎geospatial modeling techniques, Malaysia.
  • Terrigenous mass movement analysis along ‎the plus expressways using remote ‎sensing, ‎geographic information system and ‎probabilistic and statistical based models, Malaysia.
  • Flood analysis along the plus expressways using remote sensing, geographic information system ‎and probabilistic and statistical based models, Malaysia.
  • Estimation of rainfall threshold and its use in landslide hazard mapping for Jalan Tutong, Brunei‎.

 

Dersler/Tezler: 

RMIT University

  • Geom2084-Remote sensing and photogrammetry1
  • Geom1009/2128-Remote sensing
  • Geom2086-Remote sensing and photogrammetry 2

University Putra Malaysia

  • GIS for Engineers
  • Radar Remote Sensing

 

Ödüller: 
Royal Melbourne İnstitute Of Technology (RMIT) Vice-Chancellor’s Postdoctoral Fellowship award 2017.