(Remote Sensing), Dresden University of Technology, Germany 2. Ph.D. (GIS & Geomatics Engineering), University Putra Malaysia
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CURRICULUM VITAE Prof. Madya Dr. Biswajeet Pradhan Dept. of Civil Engineering, University Putra Malaysia, 43400 UPM Serdang, Selangor T: 03-8946 6383 F: 03-8656 7129 Email. [email protected] / [email protected] Education 1. Habilitation (Remote Sensing), Dresden University of Technology, Germany 2. Ph.D. (GIS & Geomatics Engineering), University Putra Malaysia. 3. M.Tech. (Civil Engineering/Geoinformatics) from Indian Institute of Technology (IIT), Kanpur, India and Dresden University of Technology, Germany 4. M.Sc. (Applied Geology) from Indian Institute of Technology (IIT), Bombay, India 5. B.Sc. (First Class Honours with Distinction) from Berhampur University, Orissa, India Areas of Interest 1. Natural Hazards & Risk Modelling 2. Remote Sensing & GIS 3. Environmental & Natural Resources Modelling Professional Qualification/ Membership/ Affiliation 1. Member: Committee of Space Research (COSPAR), since 2004 2. Member of UN-SPIDER working group on "Disaster Management", since 2008 3. Committee member of ISPRS - Commission III - Photogrammetric Computer Vision and Image Analysis; Inter-commission Working Group III/VII - Pattern Recognition for Remote Sensing, 2008-2012 4. Member of IEEE Geoscience and Remote Sensing Society 5. Member of American Geosciences Union (AGU), since 2009 6. Life member of ISRS (Indian Society of Remote Sensing), since 2003 7. Affiliated to European Mountain Forum 8. Member of European Geosciences Union (EGU), since 2004 9. Life member of Disaster Advances Journal since, 2008 10. Full member of Geological Society of Malaysia, since 2003 11. Full member of Malaysian Remote Sensing Society, since 2003 12. Full member Geological Society of India, since 2003 13. Member of International Committee on Earth Observation Satellites Disasters Management (CEOSDIS), Brussels, Belgium, since 2000 Appointments Position Duration 1. Professor Madya, University Putra Malaysia 2012 – to date 2. Senior Research Fellow/Associate Professor, 2010 – 2012 University Putra Malaysia 3. Visiting Professor, Alexander von Humboldt Fellow, 2008 – 2010 Dresden University of Technology, Germany 4. Postdoctoral (concurrent position), University Putra 2007 – 2009 Malaysia 5. Geospatial Division Manager, Cilix Corporation, 2005 – 2008 Technology Park Malaysia, Kuala Lumpur, Malaysia 6. Senior Lecturer, Asian Institute of Medicine, Science 2002 – 2004 Updated on…21 July 2014 and Technology University, Malaysia 7. Research Scientist, Dresden University of Technology, 1999 – 2002 Dresden, Germany 8. Research Fellow, Indian Institute of Technology 1996-1998 Publications Journals ((ISI); SCOPUS H-index = 28 1. Pradhan, B*., Abokharima, M.H., Jebur, M.N., Tehrany, M.S. (2014). “Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using evidential belief function model in GIS.” Natural Hazards (ISI, IF: 1.639) (Article online first available) http://dx.doi.org/10.1007/s11069-014-1128-1 2. Pradhan*, B., Hagemann, U., 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 (ISI, IF=1.834), vol. 63, pp. 34-43. http://dx.doi.org/10.1016/j.cageo.2013.10.011 3. Yusuf, Y.A., Pradhan, B*., Idrees, M.O., (2014). “Spatio-temporal Assessment of urban heat island effects in Kuala Lumpur Metropolitan City using Landsat images”. Journal of the Indian Society of Remote Sensing (ISI, IF=0.344), (Article online first available)) http://dx.doi.org/10.1007/s12524-013-0342-8 4. Tehrany, M.S., 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 (ISI, IF: 2.964), vol. 512, pp. 332-343. http://dx.doi.org/10.1016/j.jhydrol.2014.03.008 5. Elbialy, S., Mahmoud, A., Pradhan, B*., Buchroithner, M., (2014). “Application of spaceborne SAR data for extraction of soil moisture and its use in hydrological modelling at Gottleuba Catchment, Saxony, Germany”. Journal of Flood Risk Management (ISI, IF: 1.492), vol. 7. No. 2, Pp. 159-175. http://dx.doi.org/10.1111/jfr3.12037 6. Jebur, M.N., Pradhan*, B., Tehrany, M.S., (2014). “Detection of vertical slope movement in highly vegetated tropical area of Gunung pass landslide, Malaysia, using L-band InSAR technique”. Geosciences Journal (ISI, IF: 0.618), vol. 18, no. 1, pp. 61-68. http://dx.doi.org/10.1007/s12303-013-0053-8 7. Jebur, M.N., Pradhan*, B., Tehrany, M.S., (2013). “Using ALOS PALSAR derived high resolution DInSAR to detect slow moving landslides in tropical forest: Cameron Highlands, Malaysia”. Geomatics, Natural Hazards & Risk (ISI, IF: 0.99), (Article online first available) http://dx.doi.org/10.1080/19475705.2013.860407 8. Yusoff, S., Pradhan, B*., Manap, M.A., Shafri, H.Z.M., (2014). “Regional mineral potential mapping in Kelantan (Malaysia) using probabilistic based models and GIS.” Central European Journal of Geosciences (ISI, IF=0.504), (Accepted: in press) 9. Nourani, V., Pradhan, B.,* Ghaffari, H., Sharifinia, S.S., (2014). “Landslide susceptibility mapping at Zonouz plain, Iran using genetic algorithm and comparison with frequency ratio, logistic regression, and artificial neural network models”. Natural Hazards (ISI, IF=1.639), vol. 71, no. 1, pp. 523-547. http://dx.doi.org/10.1007/s11069-013-0932-3 10. Idrees, M.O., Saeidi, V., Yusuf, Y.A., Pradhan*, B., (2014) “Advanced differential interferometry SAR techniques for deformation monitoring: A review on sensors and recent research development”. Geocarto International (ISI, IF: 0.575), vol. 29, no. 5, pp. 536-553 (Article online first available) http://dx.doi.org/10.1080/10106049.2013.807305 11. Abdullahi, S., Pradhan, B*., Jebur, M.N. (2014). “GIS-based sustainable city compactness assessment using a novel integration of MCDM, Bayes theorem and RADAR technology”. Geocarto International (ISI, IF=0.557), (Article online first available) http://dx.doi.org/10.1080/10106049.2014.911967 12. Althuwaynee, O.F., Pradhan, B.,* Park, H.J., Lee, J.H., (2014) “A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping”. Catena (ISI, IF=1.881), vol. 114, pp. 21-36. http://dx.doi.org/10.1016/j.catena.2013.10.011 13. Althuwaynee, O.F., Pradhan, B.,* Park, H.J., Lee, J.H., (2014) “A novel ensemble decision-tree Updated on…21 July 2014 based CHi-squared automatic interaction detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping”. Landslides (ISI, IF=2.09) (Article online first available) http://dx.doi.org/10.1007/s10346-014-0466-0 14. Tehrany, M.S., Lee, M.J., Pradhan, B., Jebur, N.M., Lee, S., (2014). “Flood susceptibility mapping using integrated bivariate and multivariate statistical models”. Environmental Earth Sciences (ISI, IF=1.445) (Article online first available) http://dx.doi.org/10.1007/s12665-014-3289-3 15. Ziaei, Z., Pradhan, B*., Mansor S., (2014). “A rule based parameters aided with object-based oriented classification approach for extraction of building and roads from WorldView-2 images”. Geocarto International (ISI, IF: 0.575), vol. 29, no. 5, pp. 554-569. (Article online first available) http://dx.doi.org/10.1080/10106049.2013.819039 16. Ghobadi, Y., Pradhan, B*., Shafri, HZM., Kabiri, K., (2014). “Spatial assessment of land surface temperature and landuse/cover retrieval using multi-temporal remote sensing data in South Karkheh Sub-basin, Iran.” Arabian Journal of Geosciences (ISI, IF=0.740) (Article online first available) http://dx.doi.org/10.1007/s12517-013-1244-3 17. Alsharif, AAA., Pradhan, B*., (2014). “Urban Sprawl Analysis of Tripoli Metropolitan City (Libya) Using Remote Sensing Data and Multivariate Logistic Regression Model”. Journal of the Indian Society of Remote Sensing, vol. 42, issue. 1, pp. 149-163 (ISI, IF=0.344), http://dx.doi.org/10.1007/s12524-013-0299-7 18. Pradhan, B*. (2013) “A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS”. Computers & Geosciences (ISI, IF: 1.416), vol. 51, pp. 350-365. http://dx.doi.org/10.1016/j.cageo.2012.08.023 19. Biro, K., Pradhan, B*., Buchroithner MF., Makeschin, F. (2013). “An Assessment of land use/land-cover change impacts on soil properties in the northern part of Gadarif region, Sudan”. Land Degradation & Development (ISI, IF: 1.326), vol. 24, issue. 1, pp. 90–102 http://dx.doi.org/10.1002/ldr.1116 20. Pourghasemi, H.R., Pradhan, B*., Gokceoglu, C. (2012). “Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran”. Natural Hazards (ISI, IF=1.529), vol. 63, no. 2, pp. 965-996 http://dx.doi.org/10.1007/s11069-012-0217-2 21. Tien Bui, D., Pradhan, B., Lofman, O., Revhaug, I., Dick, O.B. (2013) “Regional prediction of landslide hazard in the Hoa Binh province (Vietnam) using probability analysis of intense rainfall”. Natural Hazards (ISI, IF=1.5), vol. 60, issue. 2, pp. 707-730 http://dx.doi.org/10.1007/s11069-012-0510-0 22. Umar, Z., Pradhan, B.,* Ahmad, A., Jebur, M.N., Tehrany, M.S., (2014). “Earthquake induced landslide susceptibility mapping using a novel ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia”. Catena (ISI, IF: 1.881), vol. 118, pp. 124–135. http://dx.doi.org/10.1016/j.catena.2014.02.005 23. Sezer, E., Pradhan, B*., Gokceoglu, C. (2013) “Erratum to: “Manifestation of an adaptive neuro- fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia”: [Expert Systems with Applications, 38 (2011) 8208–8219]”. Expert Systems with Applications (ISI, IF: 2.908) (in press: article online first available) http://dx.doi.org/10.1016/j.eswa.2012.10.072 24. Abdullahi, S., Mahmud, A.R., Pradhan, B.* (2014). Spatial modeling of site suitability assessment for hospitals using GIS based multicriteria approach at Qazvin city, Iran. Geocarto International (ISI, IF: 0.575), vol. 29, no. 2, pp. 164-184 (Article online first available) http://dx.doi.org/10.1080/10106049.2012.752531 25.