Sangeet Kumar Srivastava

  • Position:
    Lecturer of Mathematical Sciences
  • College:
    College of Science, Mathematics and Technology
  • Office:
    CSMT 507

Biography

Dr Srivastava earned his PhD from IIT Delhi and pursued post doctoral research at NTU, Taipei. He was visiting scientist at Meteo-France, Toulouse in 2007-8. He has over 15 years’ experience of research and over a decade long experience in teaching Mathematics and Statistics. Dr Srivastava has guided 4 PhD scholars in the domain of data analytics and image forensics and is guiding 4 scholars who are working in data and risk analytics

COURSE TAUGHT

MATH 2400 Calculus I
MATH 2995 Matrix and Linear Algebra
MATH 3225 Comp. Methods in Matrix and Lin. Alg. II

Data Analysis
Multivariate Statistical Analysis

Statistical Inference

Numerical Methods

Linear Algebra and Its Applications

EDUCATIONAL BACKGROUND

Jan 1998 – May 2005               Ph.D. in Atmospheric Sciences

Indian Institute of Technology, Delhi, INDIA

July 1994 – June 1996             M.Sc. in Mathematics

Indian Institute of Technology, Kanpur, INDIA

RESEARCH INTERESTS

Data Analytics, Data Mining, Statistical Learning, Image forensics

ACADEMIC EXPERIENCE

July 2005 – Jan 2006                Post Doctoral Fellow

National Taiwan University, Taipei, Taiwan

Feb 2006 – Jan 2007                      Visiting Scientist

Meteo-France, Toulouse, France

Feb 2007 –Nov 2009               Associate Fellow,

The Energy and Resources Institute, New Delhi, India

Dec 2009 – Jun 2011                     Associate Professor

Sharda University, Greater Noida, India

July 2011 – Dec 2011              Associate Professor

Galgotia University, Greater Noida, India

Jan 2012 – Aug 2018               Assistant Professor

The NorthCap Universty, Gurugram, India

RECENT PUBLICATIONS

Refereed Journals:

  1. M Kumar, S Srivastava (2018) Image authentication by assessing manipulations using illumination, Multimed Tools Appl., DOI: 10.1007/s11042-018-6775-x
  2. B Bansal, S Srivastava (2018) Hybrid attribute based sentiment classification of online reviews for consumer intelligence, Applied Intelligence, DOI: 10.1007/s10489-018-1299-7
  3. B Bansal, S Srivastava (2018) Sentiment classification of online consumer reviews using word vector representations, Procedia Computer Science, 132, 1147–1153, DOI: 10.1016/j.procs.2018.05.029
  4. S Redhu, S Srivastava, B Bansal, Gupta G (2017) Sentiment Analysis Using Text Mining: A Review, International Journal on Data Science and Technology, 4(2): 49-53, DOI: 10.11648/j.ijdst.20180402.12
  5. B Bansal, S Srivastava (2018) On predicting elections with hybrid topic based sentiment analysis of tweets, Procedia Computer Science 135 (2018) 346–353, DOI: 10.1016/j.procs.2018.08.18
  6. P Rana, M Khurana, and S Srivastava (2017) Linear stability analysis on the onset of MHD non-Newtonian viscoelastic rotating nanofluid layer with heat generation, Advancement in Mathematical Sciences, AIP Conf Proc 1897, 10.1063/1.5008709
  7. M Kumar and S Srivastava (2017) Forgery Detection using Multiple Light Sources for Synthetic Images, Australian Journal of Forensic Sciences, 10.1080/00450618.2017.1356871
  8. M Kumar and S Srivastava (2017) Image Forgery Detection based on Physics and Pixels: A Study, Australian Journal of Forensic Sciences, 10.1080/00450618.2017.1356868
  9. L Verma, S Srivastava (2017) An Intelligent Noninvasive Model for Coronary Artery Disease detection, Complex & Intelligent Systems, DOI: 10.1007/s40747-017-0048-6
  10. G Munjal, M Hanmandlu, S Srivastava and D Gaur (2017), Assessing and Mining Phylogenetic Trees, International Journal of Database Theory and Application, 10(1), 67-78
  11. A Jatain, and S Srivastava (2017), Ontology driven reusability model for CBSE generation from OOSS, Journal of Fundamental and Applied Sciences, DOI: 10.4314/jfas.v9i1s.813
  12. L Verma, S Srivastava, PC Negi (2016) A hybrid data mining model to predict coronary artery disease cases using non-invasive clinical data, Journal of Medical Systems, 40(7): 178, DOI: 10.1007/s10916-016-0536-z
  13. L Verma, S Srivastava (2016) A Data Mining Model for Coronary Artery Disease Detection us Noninvasive Clinical Parameters, Indian Journal of Science and Technology, 9(48), DOI: 10.17485/ijst/2016/v9i48/105707
  14. M Kumar, S. Srivastava (2016) Identifying Photo Forgery using Lighting Elements, Indian Journal of Science and Technology, 9 (48), DOI: 10.17485/ijst/2016/v9i48/105748
  15. M Khurana, P Rana, S Srivastava (2016), Influence of the combined effect of magnetic field and rotation on the onset of a non-Newtonian viscoelastic nanofluid layer: Linear and nonlinear analyses, The European Physical Journal Plus, 131: 437, DOI: 10.1140/epjp/i2016-16437-3
  16. M Kumar, S Srivastava and A Hensman (2016), A Hybrid Novel Approach of Video Watermarking, International Journal of Signal Processing, Image Processing and Pattern Recognition, 9(10), 395-406, DOI: 10.14257/ijsip.2016.9.10.35

 

Books:

  1. Dogra NK, Srivastava S, editors (2013): Climate change and disease dynamics in India. 1st ed. New Delhi: TERI Press; (Feb 2012) (ISBN: 9788179934128) http://bookstore.teri.res.in/books/9788179934128
  2. Dogra NK, Srivastava S, editors (2013): Executive summary – Climate change and disease dynamics in India: TERI Press (June 2012)  http://bookstore.teri.res.in/docs/Executive%20Summery.pdf

 

Book Chapter:

  1. M Kumar, S Srivastava (2018): Image Tampering Detection Based on Inherent Lighting Fingerprints. Chapter in book “Computational Vision and Bio Inspired Computing”, pp.1129-1140, ISBN: 9783319717661, DOI: 10.1007/978-3-319-71767-8_97
  2. S Srivastava (2013): Modelling of future health impacts. Chapter in book “Climate change and disease dynamics in India” ISBN: 9788179934128
  3. S Srivastava (2013): Geographic Information systems. Chapter in book “Climate change and disease dynamics in India” ISBN: 9788179934128
  4. S Srivastava (2013): Lifestyle. Chapter in book “Climate change and disease dynamics in India” ISBN: 9788179934128
  5. Chaudhary V, Bhattacharyya A, Guiot J, Shah SK, Srivastava S, Edouard J-L and Thomas A (2013): “Reconstruction of August-September temperature in North-Western Himalaya since Ad 1773, based on tree-ring data of Pinus Wallichiana and Abies Pindrow”. Chapter in book “Holocene: Perspectives, Environmental Dynamics and Impact Events” Editor: B S Kotlia, Nova Publishers, New York, ISBN: 9781622577224

 

Technical Reports

  1. Dogra N, Taneja P, Srivastava S, Patel S (2013) Pilot tool for assessment of health vulnerability to climate change at the sub-national level in India. Supported by WHO/SEARO, New Delhi.
  2. M New, P Aggarwal, A Dixit, AK Gosain, S Huq, P Mujumdar, Sangeet Srivastava, J Srinivasan (2011), Climate research coordination in South Asia: Issues, opportunities and recommendations, Livelihoods Resource Centre, Hemel Hempstead, UK, 12 pp.
  3. Sikka SK, Srinivasan J, Krishna Kumar K, Srivastava S (2008) National expert committee’s status report on climate modeling, Office of Principal Scientific Advisor, GoI.
  4. Tanner TM, Nair, S, Bhattacharjya, S, Srivastava S, Sarthi, PP, Sehgal, M and Kull, D (2007), ORCHID: Climate Risk Screening in DFID India. Synthesis Report. Institute of Development Studies, Brighton
  5. Nair S, Bhattacharjya S, Srivastava S, Sarthi PP, Sehgal M, Tanner TM, Kull D, and Patnaik U (2007), ORCHID: Climate Risk Screening in DFID India. Technical Appendix. Institute of Development Studies, Brighton.