DR. UTPAL SHRIVASTAVA
ASSOCIATE PROFESSOR

Research Publications

• V. Thada, U. Shrivastava, and J. Sharma, “A Primer on Generative Adversarial Networks,” no. 3, Visit: https://www.ijircst.org/DOC/22-a-primer-on-generative-adversarial-networks.pdf
• U. Srivastav, V. Thada, A. Kumar, M. Garach, and A. Paliwal, “Deep Learning Approach To Face Conditioning Using Invertible Conditional Generative Adversarial Networks ( ICGAN ),” no. 3, Visit: https://www.ijircst.org/DOC/24-deep-learning-approach-to-face-conditioning-usinginvertible-conditional-generative-adversarial-networks-(icgan).pdf
• V. Thada and U. Shrivastava, “A Primer on Blockchain Technology,” Int. J. Comput. Sci. Eng.,vol. 7, no. 5, pp. 246–250, 2019. Visit: https://www.researchgate.net/publication/335804008_A_Primer_on_Blockchain_Technology
• U. Shrivastava, “Supervised Intrusions Detection System Using KNN.” Visit: https://ijritcc.org/index.php/ijritcc/issue/view/7
• U. Shrivastava, “Global journal of engineering science and researches a survey on network security : issues and challenges Utpal Shrivastava,” vol. 6, no. May, pp. 530–537, 2019. Visit:http://www.gjesr.com/Issues%20PDF/Archive-2019/May-2019/69.pdf
• U. S. “A Review of Intrusion Detection System”. International Journal on Recent and Innovation Trends in Computing and Communication, Vol. 5, no. 5, May 2017, pp. 556 -58, doi:10.17762/ijritcc.v5i5.561. Visit: https://ijritcc.org/index.php/ijritcc/article/download/561/561/536
• V. Thada and U. Shrivastava, “Sentiment Mining of Product Opinion Data,”Int. J. Innov. Technol. Explor. Eng., vol. 9, no. 3, pp. 1218–1222, 2020. Visit: https://www.ijitee.org/wpcontent/uploads/papers/v9i3/C8641019320.pdf
• M. D. Momand, D. V. Thada, and U. Shrivastava, “Intrusion Detection System in IoT Network,”Int. J. Comput. Sci. Eng., vol. 7, no. 4, pp. 11–15, 2020. Visit: https://www.internationaljournalssrg.org/IJCSE/paper-details?Id=388
• U. Shrivastava and V. Thada, “Optimized Multi Class Classification of Images Using DeepLearning,” vol. 6, no. 5, pp. 98–100, 2019.
• N. Yadav, V. Kumar, and U. Shrivastava, “Skin Diseases Detection Models using Image Processing: A Survey,” Int. J. Comput. Appl., vol. 137, no. 12, pp. 34–39, 2016. Visit: https://www.ijcaonline.org/research/volume137/number12/yadav-2016-ijca-909001.pdf
• U. Shrivastava and N. Sharma, “A cascading layered approach for intrusion detection to improve detection accuracy of major and minor attacks,” Int. J. Adv. Trends Comput. Sci. Eng., vol. 9, no. 5, pp. 8828–8834, 2020. Visit: http://www.warse.org/IJATCSE/years/archivesDetiles/?heading=Volume%209%20No.5%20(2020)
• Prasad, M., Aswal, R.S., Shrivastava, U. et al. Levels and effects of uranium in groundwater sources of Shivalik hills, outer Himalaya, India. J Radioanal Nucl Chem (2023). https://doi.org/10.1007/s10967-023-08906-4 Visit: https://link.springer.com/article/10.1007/s10967-023-08906-4
• “Artificial Neural Network based Dual Layered Predictive Model for Rare Attack Detection”,The IEEE  International Conference on Computational Performance Evaluation (ComPE-2020) (IEEE Conference Record No 49325) Visit: https://ieeexplore.ieee.org/document/9200134
• “Feature Selection and Implementation of IDS using Boosting algorithm”, The IEEE International Conference on Computational Performance Evaluation (ComPE-2020) (IEEE Conference Record No 49325). Visit: https://ieeexplore.ieee.org/document/9200072
• “A Primer on Genetic Algorithms in WebIR”, Recent Innovations in Science,Technology & Management,26-02-2016 Visit: http://www.irdindia.in/journal_ijraet/pdf/vol4_iss1/4.pdf
• “Interpretation of the American Sign Language using Convolutional Neural Network”, International Conference on Computational Intelligence in Analytics and Information Systems 2021, CRC Press. Visit:https://www.appleacademicpress.com/computational-intelligence-in-analytics-and-information-systemsvolume-1-data-science-and-ai-selected-papers-from-ciais-2021/9781774911440
• “Deep Learning Classification Model for Detection of Traffic Signs”, International Conference on Computational Intelligence in Analytics and Information Systems 2021, CRC Press. Visit: https://www.routledge.com/Computational-Intelligence-in-Analytics-and-Information-Systems-2-volume/Dhaliwal-Kaur-Thakur-Arya-Lu/p/book/9781774911426
• “Conformance checking techniques of process mining: A survey”, International conference on recent trends in computing (ICRTC 2021), Springer. Visit: https://scholar.archive.org/work/eouxoir6sfgfllbbyhwzotyvau/access/wayback/https://ebooks.iospress.nl/pdf/doi/10.3233/APC210213

 Book Chapter Published

• Nishu Sethi, Shalini Bhaskar Bajaj, Jitendra Kumar Verma, and Utpal Shrivastava, “Google Stock Movement: A Time Series Study Using LSTM Network”, in Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications, IGI Global, 2020, pp. 70-87. (ISBN13: 9781799858768—ISBN10: 1799858766— EISBN13: 9781799858775) (Scopus Indexed)

• IOT based real-time smart control of logistics using wireless sensor network, Patent Application Published, Application Number- 202111003478, Journal Number- 05/2021, Journal Date- 29/01/2021- IPO.
• A Digital Signal Processing System for an Electronic Gaming Device, Patent Application filled, Application Number- 202241004368, Date: 26/01/2022.

• PhD in Computer Science and Engineering from Banasthali Vidyapeeth(Deemed University), Jaipur. 2022.
• M. Tech (CSE) 2009-11 from GJUS&T, Hisar (GATE, Qualified) 1st DIV
• Master of Computer Application (MCA) 2005 from UPTU, Lucknow 1st DIV
• Bachelor of Computer Application (BCA) 2002from BIT, Mesra, Ranchi 1st DIV
• Intermediate in Science (I.Sc.) 1999 CBSE, Bokaro, 1st DIV
• Matriculation, CBSE, Bokaro, 1997 1st DIV

17 Years Teaching