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S.S Sengar

jklu
Name : S.S Sengar

Qualifications : Ph.D ( IIT Roorkee), M.Tech, B.Tech

Email : sssengar@jklu.edu.in

  • Overview
  • Affiliations
  • Conferences & seminars
  • Publications
  • Awards & Achievements

After completing his B.Tech in Electronics and Communication stream in 1998, He realized that he has good teaching skills and hence joined Aligarh Muslim University to sharpen his teaching capabilities, He did M.Tech in 2001 in Electronic circuits and Systems Design. Since then he has worked at various institutions of excellent repute like ITM Gwalior, DIT Dehradun and ICFAI Tech Dehradun, as assistant professor, Head of the department that enhance his experience of teaching and administration. To explore research knowledge he completed his PhD from Indian institute of Technology Roorkee under Ministry of Human Resource Developement (MHRD) fellowship in 2013. After completing his PhD he joined MIET Meerut as a professor and Apex Kota as a Director before joining JKLU. In his 13+ years teaching, administrative and research duration he has published six research papers in high repute International journals (2013 impact factor = 5.521, H factor = 2 and citation =12). He has attended and published more than eight papers in International conferences. In his academic career, he has guided post graduate and graduate students in the field of electronics engineering. He also has experience of organizing short term training programs and was program chair in more than a few conferences. He is editorial member and advisory board member of quite a few international journals. He is reviewer of some of the international journals. His research experience includes working with organizations such as IIRS. His research interest lies in Soft computing, Digital Signal Processing, Image Processing, Remote sensing and disaster mitigation.

  • Life member of Indian Society of Earthquake Technology (ISET) 
  • Indian Society of Geomatics (ISG)
  • Indian Society of Technical Education (ISTE)
  • The Society of Digital Information and Wireless Communications (SDIWC)

 

  • Sengar, S.S., Kumar, A., Ghosh, S.K. and Wason, H.R., 2012. Liquefaction Identification using IRS-1D temporal-Indices data by Soft computing approach, 15th World Conference on Earthquake Engineering, 15WCEE, (24-28 September, 2012), Lisbon, Portugal . 
  • Sengar, S.S., Kumar, A., Ghosh, S.K. and Wason, H.R., 2012. Soft computing approach for liquefaction identification using LANDSAT-7 temporal-indices data, XXII International Society for Photogrammetry and Remote Sensing ISPRS-2012 Congress in Melbourne, Australia (25th August- 1st September, 2012) page 61-64,[DOI:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B8/61/2012/isprsarchives-XXXIX-B8-61-2012.pdf]. 
  • Sengar, S.S., Kumar, A., Ghosh, S.K. and Wason, H.R., 2011. Soft computing approach for liquefaction identification using landsat-7 temporal data, Indian Society of Remote Sensing ISRS-2011 conference Bhopal, India, (9-11 November, 2011), pp. 222. 
  • Sengar, S.S., Kumar, A., Ghosh, S.K. and Wason, H.R., 2012. Landslide detection using IRS-P6 temporal indices data using soft computing approach, IEEE Geoscience and Remote Sensing Society IGARSS-2012, (22 – 27 July, 2012) Munich, Germany, pp.143. 
  • Sengar, S.S., Wason, H.R., Kumar, A. and Ghosh, S.K., 2012. Earthquake induced damage identification using remote sensing data, Indian Society of Earthquake Technology (20-21 October, 2012), ISET-2012, Roorkee, India.
  • Sengar, S.S., Ghosh, S.K., Kumar, A. and Wason, H.R., 2013. Landslide characterization and identification using noise clustering with entropy technique, The 5th International Conference on Geo-information Technology for Natural Disaster Management GiT4NDM-2013, Ontario, Canada (9-11 October, 2013).
  • Sengar, S.S., Ghosh, S.K., Kumar, A. and Wason, H.R., 2013. Earthquake damage characterization and identification using noise clustering with entropy technique, Latin American Remote Sensing Week LARS-2013, Santiago, Chile (26-27 October, 2013).
  • Sengar, S.S., Ghosh, S.K., Kumar, A. and Wason, H.R., 2013. Landslide identification using remote sensing temporal data at sub-pixel level, The 9th International Conference on Geoinformation for Disaster Management (Gi4DM-2013), (December 9-11, 2013), Cau Giay, Hanoi, Vietnam.
  • Sengar, S.S., Kumar, A., Ghosh, S.K., Wason, H.R. and Roy, P.S., 2012. Liquefaction identification using class based sensor independent approach based on single pixel classification after 2001 Bhuj, India earthquake, Journal of Applied Remote Sensing, Vol. 6, Issue 1, pages:1-15, ISSN: 1931-3195, Impact factor = 0.892, [DOI: http://dx.doi.org/10.1117/1.JRS.6.063531].
  • Sengar, S.S., Kumar, A., Ghosh, S.K. and Wason, H.R., 2013. Liquefaction Identification Using IRS-1D Temporal Indices Data, Journal of Indian Society of Remote Sensing, Vol. 41, Issue 2, pages:355-363, ISSN: 0974-3006, Impact factor = 0.528, [DOI: http://dx.doi.org /10.1007/s12524-012-0239-y].
  • Sengar, S.S., Kumar, A., Ghosh, S.K. and Wason, H.R., 2014. Earthquake induced built-up damage identification using IRS-P6 data - a comparative study using fuzzy based classifiers, Geocarto International, Vol. 29, Issue 2, pages:211-225,  ISSN: 1752-0762, Impact factor = 0.897, [DOI: http://dx.doi.org/10.1080/10106049.2012.756939].
  • Sengar, S.S., Kumar, A., Ghosh, S.K., Wason, H.R., Raju, P.L.N., and Krishnamurthy, Y.V.N., 2013. Earthquake induced built-up damage identification using fuzzy approach, Geomatics, Natural Hazards and Risk, Vol. 4, Issue: 4, pages:320-338, ISSN: 1947-5713, Impact factor = 0.622, [DOI: http://dx.doi.org/10.1080/19475705.2012.746242]. 
  • Sengar, S.S., Kumar, A., Ghosh, S.K., Wason, H.R., Raju, P.L.N., and Krishnamurthy, Y.V.N., 2013. Study of soft classification approaches for identification of earthquake induced liquefied soil, Geomatics, Natural Hazards and Risk, ISSN: 1947-5713, Impact factor = 0.622, [DOI: http://dx.doi.org/10.1080/19475705.2013.811444].
  • Sengar, S.S., Kumar, A., Ghosh, S.K. and Wason, H.R.,2014. Earthquake damage identification - a case study using soft classification approach, Natural Hazards, Vol.71, Issue: 3, Pages:1307-1322, ISSN: 1573-0840, Impact factor = 1.958, [DOI: http://dx.doi.org/10.1007/s11069-013-0956-8].
Reviewer of journal 
1. International Journal of Remote Sensing, Taylor and Francis, Impact Factor = 1.138
2. Natural Hazards, Springer, Impact factor = 1.639
3. International Journal of Electrical Power & Energy Systems, Elsevier, Impact Factor = 3.432
4. Geocarto International, Taylor and Francis, Impact Factor = 0.575
 
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