Ask a Question admission@mail.jaypeeu.ac.in
Enquiry Apply

JAYPEE UNIVERSITY ANOOPSHAHR, UP, INDIA

जेपी विश्वविद्यालय अनुपशहर, उ. प्र., भारत

ESTABLISHED UNDER UP ACT NO 8 OF 2014 AND INCORPORATED UNDER UP ACT NO 12 OF 2019 AS PRIVATE UNIVERSITY APPROVED BY UGC UNDER SECTION 2(F) OF THE UGC ACT, 1956

Jaiprakash Sewa Sansthan
Menu

Dr. Nishant Shrivastava

Associate Dean (Acad) and Head, Faculty of Engineering and Technology

Email: nishant.srivastava@mail.jaypeeu.ac.in

About me

Dr. Nishant Shrivastava boasts over 20 years of experience in both teaching and research. He earned his PhD in Computer Science and Engineering from JUET Guna in 2014, focusing on "An effective content-based image retrieval system using relevance search and low-level features." Prior to this, he completed his post-graduation in CSE under the guidance of Dr. Sanjeev Jain from State Technical University Bhopal in 2009. In July 2014, Dr. Shrivastava joined JU Anoopshahr as an Assistant Professor, where he has since organized numerous successful technical and literary events. He has mentored a considerable number of undergraduate and postgraduate students in their projects, and currently guides two Ph.D. students specializing in computer vision and machine learning. Before his tenure at JU, Dr. Shrivastava accumulated experience at various esteemed institutions across India. He holds certification as an IBM DB2 Associate and has served as a reviewer for numerous reputable international conferences and journals. Additionally, he is an active member of professional societies such as IEEE and ISTE.

Expertise

Image Processing, Image Classification and Retrieval, Computer Vision and Pattern Recognition, Machine Learning, Full Stack Development

Education
P.hd. from JUET Guna in 2014
Experience
20 Years
Key Publications

Scopus /Orcid ID: 0000-0001-9626-2301

WOS/Researcher ID: A-2784-2019

Citation Indices All Since 2015
Citations 368 244
h-index 9 8
i10-index 8 6
Referred International Journals:
  1. N Shrivastava, V Tyagi, “An efficient technique for retrieval of color images in large databases”, Computers and Electrical Engineering, Elsevier, 46, 314-327, 2015, SCI, SCOPUS, ISSN: 0045-7906, Impact Factor- 0.965.
  2. N Shrivastava, V Tyagi, “An effective scheme for image texture classification based on binary local structure pattern”, Visual Computer, Springer-Verlag Berlin Heidelberg, 30, 11, 1223–1232, 2014. ISSN: (Print) 0178-2789 (Online) 1432-2315 Impact Factor- 0.957.
  3. N Shrivastava, V Tyagi, “Content-based image retrieval based on relative locations of multiple regions of interest using selective regions”, Information Sciences, Elsevier Science, SCI, SCOPUS, Vol 259,212-224, 2014. ISSN : 0020-0255 , Impact Factor- 4.221.
  4. N Shrivastava, V Tyagi, “An integrated approach for image retrieval using local binary pattern”, Multimedia Tools and Applications, Volume 75, Issue 11,PP 6569-6583,2016 ISSN: 1380-7501 (Print) 1573-7721(Online), Impact Factor- 1.346 , Springer, SCI, SCOPUS, DOI:10.1007/s11042-015-25892.
  5. N Shrivastava, V Tyagi, “Noise-invariant structure pattern for image texture classification and retrieval”, Multimedia Tools and Applications, Volume 75, Issue 18, pp 10887–10906, 2016 ,ISSN: 1380-7501 (Print) 1573-7721(Online) Impact Factor- 1.346, Springer, SCI, SCOPUS, DOI:10.1007/s11042-015-25892
  6. S Agarwal, S Agarwal, A Kumar, N Srivastava, “A Trident Extensible Multiprocessor Network”, International Journal of Engineering Research and Application, Vol. 8, , pp 46-53. Issue 6 (Part -III) June 2018. (UGC Approved)
  7. N, A Novel Texture Classification Scheme based on Completed Multiple Adaptive Threshold Patterns, Procedia Computer Science, Elsevier, Volume 171, Pages 331-340,2020.(I.F- 2.09)
Patents:
  1. A. Mishra, N. Shrivastava Design Patent “Smart Bicycle having Health Parameter Display Screen at Handle", Indian Patent office Journal No. 40/2022 Dated 07/10/2022. Design number: 363897-001, CBR No: 201368.
  2. M. Shukla. N. Shrivastava “Wound cover with integrated sensor to prevent external dust on wound and drop ointment on wounds based on its condition “, Patent office of India. Design number: 368822-001, CBR No: 204561 dated 17/05/2023.
Conference Proceedings:
  1. A.K Dubey, N Shrivastava, “PAPR Reduction in OFDM by Using Modernize SLM Technique”, Recent Trends in Wireless and Mobile Networks, Springer Berlin Heidelberg, Vol 162, pages 397-405,2011.
  2. A.K Dubey, N Shrivastava, “Heterogeneous data mining environment based on DAM for mobile computing environments”, Information Technology and Mobile Communication, Springer-Verlag Berlin Heidelberg, Vol 147, Pages,144-149,2011.
  3. N Shrivastava, V Tyagi, “A Review of ROI Image Retrieval Techniques”, Advances in Intelligent Systems and Computing, Springer-Verlag Berlin Heidelberg, Vol 2 , issue 328, Pages 509-519,2015.
  4. N Shrivastava, V Tyagi, “Region Based Image Retrieval Using Integrated Color, Texture and Shape Features”, Information Systems Design and Intelligent Applications, Springer India, Kalyani, West Bengal, Vol 2 issue 340, Pages 309-316,2015.
  5. N Shrivastava, V Tyagi, “Multistage Content- Based Image Retrieval”, CSI sixth International Conference on Software Engineering(CONSEG), IEEE, Page 1-4,2012.
  6. S. Mahor, N. Shrivastava, A.K Dubey, “ Image Processing Method Based on GIS System for Better Disaster Management”, International Conference on Control, Robotics and Cybernetics (ICCRC 2011), IEEE, Volume 2 , 382-385,2011.
  7. N. Shrivastava, V. Tyagi, “A Short Run Length Descriptor for Image Retrieval”, Information Systems Design and Intelligent Applications, Springer India, Vol. 434 , 1-10, 2016.
PhD Guidance:

Currently guiding two PhD students in the area of Computer Vision and Machine Learning:

  1. Ms. Nikita Agarawal
  2. Ms. Vandana Gupta
Research Areas

N Shrivastava, V Tyagi, “An efficient technique for retrieval of color images in large databases”...

N Shrivastava, V Tyagi, “An effective scheme for image texture classification based on binary local structure pattern”

N Shrivastava, V Tyagi, “An effective scheme for image texture classification...”

N Shrivastava, V Tyagi, “Content-based image retrieval based on relative locations of multiple regions of interest using selective regions”