Nishant Shrivastava
Jaypee University Anupshahr, Jaypee University of Engineering and Technology
About
Dr. Nishant shrivastava has teaching and research experience of over 11 years. He was awarded PhD in computer science and engineering From JUET Guna in the year 2014. The title of his PhD thesis was “An effective content based image retrieval system using relevance search and low level features”. He received M.tech in CSE from LNCT engineering college affiliated to RGPV University Bhopal in 2009. He has completed B.E in IT from Bhopal University in 2004. He has joined JU Anoopshahr in july, 2014. He has worked in many reputed institutions across India. He worked as professor and head of department CSE at JNCT Bhopal from 2004 to 2011. He is IBM certified DB2 Associate. He has been appointed as reviewer in many reputed international conferences and journals. He has published many articles in renowned international conferences and journals .He is a member of various professional societies like IEEE and ISTE. His area of research are Image Processing, Image Classification and Retrieval, Computer vision and Pattern recognition.
Employment
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Jaypee University Anupshahr Assistant Professor Sr. grade2014 - Present
Education
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Jaypee University of Engineering and Technology PhD2011 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- AsTexNet: A Discriminative Scale-Aware Hybrid Texture Representation with Compact Embedding Save
- Enhanced Multi-Scale Adaptive Binary Patterns for Robust Texture Classification Save
- HyTexNet: Percentile-guided local encoding and deep feature fusion for enhanced texture classification Save
- Corrigendum to “Content based image retrieval based on relative locations of multiple regions of interest using selective regions matching” [Information Sciences 259 (2014) 212–224](S0020025513006105)(10.1016/j.ins.2013.08.043) Save
- A short run length descriptor for image retrieval Save
- An integrated approach for image retrieval using local binary pattern Save
- Noise-invariant structure pattern for image texture classification and retrieval Save
- A review of ROI image retrieval techniques Save
- An efficient technique for retrieval of color images in large databases Save
- Region based image retrieval using integrated color, Texture and shape features Save