CURRICULUM VITAE Assoc. Prof. Dr. Biswajeet Pradhan Dept. of Civil Engineering, Faculty of Engineering, Universiti 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 Updated on…26 Oct 2015 6. Senior Lecturer, Asian Institute of Medicine, Science 2002 – 2004 and Technology University, Malaysia 7. Research Scientist, Dresden University of Technology, 1999 – 2002 Dresden, Germany 8. Research Fellow, Indian Institute of Technology 1996-1998 Subjects taught at UPM PhD & Master Level 1. Radar Image Processing (ECV5510) 2. Remote Sensing & GIS Applications (ECV5508) 3. GIS for Engineers (ECV5514) 4. Hazards, Risk and Ethics (EAB5401) Degree Level 7. Civil Engineering Drawings (ECV3102) 8. Geomatics & Geology Camp (ECV3105) Publications Journals ((ISI); SCOPUS H-index = 35, Citations received: 3675 Google Scholar H-index= 46, Citations= 5815 1. Tehrany, M.S., Pradhan*, B., Mansor, S., Ahmad, N., (2015). “Flood susceptibility mapping using GIS-based support vector machine model with different kernel types”. CATENA (ISI, IF: 2.482), vol. 125, pp. 91-101. http://dx.doi.org/10.1016/j.CATENA.2014.10.017 2. Jebur, M.N., Pradhan*, B., Tehrany, M.S., (2015). “Manifestation of LiDAR derived parameters in spatial prediction of landslides using a novel ensemble evidential belief functions and support vector machine models in GIS”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (ISI, IF: 2.89), vol. 8, no. 2, pp. pp. 674-689. http://dx.doi.org/10.1109/JSTARS.2014.2341276 3. Tehrany, M.S., 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 (ISI, IF: 2.673), vol. 29, no. 4, pp. 1149- 1165. http://dx.doi.org/10.1007/s00477-015-1021-9 4. Ghobadi, Y., Pradhan, B*., Shafri, HZM., Ahmad, N., Kabiri, K., (2015). “Remotely sensed data and GIS approach for analysis of the shrinkage and shifting in the Al Hawizeh wetland.” Environmental Monitoring & Assessment (ISI, IF=1.679), vol. 187, pp. 4156. http://dx.doi.org/10.1007/s10661-014-4156-0 5. Abdullahi, S., Pradhan, B*., Mansor, S., Shariff, A.R.M., (2015). “Urban sustainability analysis through Compact city: GIS-based modeling for spatial measurement and evaluation of mixed landuse development”. GIScience & Remote Sensing (ISI, IF=1.48), vol. 52, no. 1, pp.18-39. http://dx.doi.org/10.1080/15481603.2014.993854 6. Ghobadi, Y., Pradhan, B*., Sayyad, G.A., Kabiri, K., Falamarzi, Y. (2015). “Simulation of hydrological processes and effects of engineering projects on the Karkheh River Basin and its wetland using SWAT2009.” Quaternary International (ISI, IF=2.128, Q2), vol. 374, pp. 144-153. http://dx.doi.org/10.1016/j.quaint.2015.02.034 7. Ghobadi, Y., Pradhan, B*., Shafri, HZM., Ahmad, N., Kabiri, K., (2015). “Remotely sensed data and GIS approach for analysis of the shrinkage and shifting in the Al Hawizeh wetland.” Environmental Monitoring & Assessment (ISI, IF=1.592), vol. 187, pp. 4156. http://dx.doi.org/10.1007/s10661-014-4156-0 8. Neshat A., Pradhan, B*., (2015). “An integrated DRASTIC model using probabilistic based frequency ratio and two new hybrid methods for groundwater vulnerability assessment.” Natural Hazards (ISI, IF=1.958) , vol. 76, no. 1, pp. 543-563. http://dx.doi.org/10.1007/s11069-014-1503-y 9. Neshat A., Pradhan, B*., Javadi, S., (2015). “Risk assessment of groundwater pollution using Monte Carlo approach in an agricultural region: An example from Kerman Plain, Iran.” Updated on…26 Oct 2015 Computers, Environment & Urban Systems (ISI, IF=1.674), vol. 50, pp. 66-73. http://dx.doi.org/10.1016/j.compenvurbsys.2014.11.004 10. Neshat A., Pradhan, B*., (2015). “Risk assessment of groundwater pollution with a new methodological framework: Application of Dempster-Shafer theory and GIS.” Natural Hazards (ISI, IF=1.958), 2015, vol. 78, issue 3, pp 1565-1585. http://dx.doi.org/10.1007/s11069-015-1788-5 11. Dehnavi, Al., Aghdam, I.N., Pradhan, B*., Varzandeh, M.H.M. (2015) “A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide hazard assessment in Iran”. CATENA (ISI, IF=2.814), vol.135, pp. 122–148. http://dx.doi.org/10.1016/j.catena.2015.07.020 12. Alsharif, AAA., Pradhan, B*., Mansor, S., Shafri, H.Z.M. (2015). “Urban expansion assessment by using remotely sensed data and the relative Shannon entropy model in GIS: A case study of Tripoli, Libya”. Theoretical and Empirical Researches in Urban Management (ISI, IF= 1.127), vol. 10, no. 1, pp. 55-71. http://um.ase.ro/ 13. Alsharif, AAA., Pradhan, B*., (2015). “Spatio-Temporal Prediction of Urban Expansion Using Univariate Statistical Models: Comparative Assessment of the Efficacy of Evidential Belief Functions and Frequency Ratio Models”. Applied Spatial Analysis & Policy (ISI, IF=0.679), (Article on-line first available) http://dx.doi.org/10.1007/s12061-015-9147-1 14. Alsharif, AAA., Pradhan, B*., (2015). “Predicting the Spatial Patterns of Urban Expansion by Combining the Chi-Squared Automatic Integration Detection Decision Tree, Markov Chain, and Cellular Automata Models in GIS”. Geocarto International (ISI, IF= 0.89), vol. 30, no.8, pp. 858-881. http://dx.doi.org/10.1080/10106049.2014.997308 15. Hong, H., Pradhan, B*., Jebur, M.N., Bui, D.T., Xu, C., (2015) “Spatial prediction of landslide hazard at the Luxi area (China) using Support Vector Machines”. Environmental Earth Sciences (ISI, IF: 1.572), (Accepted in Press) 16. Abdullahi, S., Pradhan, B*., (2015). “Sustainable brownfields land use change modeling using GIS-based weights-of-evidence approach”. Applied Spatial Analysis and Policy (ISI, IF=0.679), (Article online first available) http://dx.doi.org/ 10.1007/s12061-015-9139-1 17. Dibs, H., Mansor, S., Ahmad, N., Pradhan, B. (2015) “Band-to-Band Registration Model for Near- Equatorial Earth Observation Satellites (NEqO) image using the Automatic Extraction of Control Points”. International Journal of Remote Sensing (ISI, IF=1.3), vo. 36, no. 8, pp. 2184–2200. http://dx.doi.org/10.1080/01431161.2015.1034891 18. Jebur, M.N., Pradhan*, B., Shafri, H.Z.M., Yusof, Z., Tehrany, M.S., (2015). “An integrated user- friendly ArcMAP tool for bivariate statistical modeling in geoscience applications”. Geoscientific Model Development (ISI, IF: 6.1), vol. 8, pp. 881-891. http://www.geosci-model-dev.net/8/881/2015/ 19. Bui*, D.T., Tuan, T.A., Klempe, H., Pradhan, B., Revhaug, I. (2015) “Spatial prediction models for shallow landslide hazards: A comparative assessment of the efficacy of Support Vector Machines, Artificial Neural Networks, Kernel Logistic Regression, and Logistic Model Tree”. Landslides (ISI, IF=2.814) (Article online first available) http://dx.doi.org/10.1007/s10346-015-0557-6 20. Hong, H., Pradhan, B., Xu, X., Bui*, D.T. (2015) “Spatial prediction of landslide hazard at the Yihuang area (China) using Two-Class Kernel Logistic Regression, Alternating Decision Tree and Support Vector Machines”. CATENA (ISI, IF=2.814), vol. 133, pp. 266–281. http://dx.doi.org/10.1016/j.catena.2015.05.019 21. Youssef, A.M., Al-Kathery, M., Pradhan, B*., El-Sahly, T., (2015) “Debris flow impact assessment along the Al-Raith Road, Kingdom of Saudi Arabia using remote sensing data and field investigations”. Geomatics, Natural Hazards and Risk (ISI, IF: 0.977), (Article online first available) http://dx.doi.org/10.1080/19475705.2014.933130 Updated on…26 Oct 2015 22. Haoyuan Hong, Seyed Amir Naghibi, Hamid Reza Pourghasemi, Biswajeet Pradhan (2015) “GIS- based Landslide susceptibility assessment in the Ganzhou City, China: A comparison between evidential belief function, frequency ratio, maximum entropy, and logistic regression models”. Arabian Journal of Geosciences (ISI, IF: 1.14), (Accepted: in press) 23. Praveena, S.M., Pradhan, B., Ismail, S.N.S., (2015) “Spatial assessment of heavy metals in surface soil from Klang District (Malaysia): An example from a tropical environment”.