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Dr. Shashi Shekhar

  • Associate Professor
    Institute of Engineering & Technology
  • Department

    Department of Computer Engineering & Applications
  • Experience

    16+ years Teaching/Research experience in the field of Computer Science

  • Qualifications

    • PhD : GLA, University, Mathura. India
    • M.Tech. : UP Technical University, Lucknow, India
  • Ph.D

    Thesis Supervised

  • Awarded/ Completed-

    Working2

  • Postgraduate

    Thesis Supervised

  • Awarded/ Completed6

    Working1

Journal

  • 1 Shekhar, Shashi, Hitendra Garg, and Rohit Agrawal "Hatred and trolling detection transliteration framework using hierarchical LSTM in code-mixed social media text." International Journal Complex & Intelligent Systems, Springer (2021) (SCI Indexed)
  • 2 Shekhar, Shashi, Hitendra Garg, Rohit Agrawal “Spoofing detection system for e-health Digital twin using EfficientNet Convolution Neural Network” Multimedia Tools & Applications, Springer (SCI Indexed)
  • 3 Shekhar, Shashi, Dilip Kumar Sharma. "Artificial immune systems-based classification model for code-mixed social media data." IRBM, Elsevier (2020).(SCI Indexed)
  • 4 Shekhar, Shashi, Dilip Kumar Sharma, and MM Sufyan Beg “Language identification framework in code-mixed social media text based on quantum LSTM — the word belongs to which language?” Modern Physics Letters B, Vol. 33, (2020) World Scientific. (SCI Indexed)
  • 5 Shekhar, Shashi, Dilip Kumar Sharma, and MM Sufyan Beg. "Computational linguistic retrieval framework using negative bootstrapping for retrieving transliteration variants." International Journal of Computational Vision and Robotics 10, no. 1 (2020): 79- 101. (Scopus Indexed)
  • 6 Shekhar, Shashi, Dilip Kumar Sharma, and M. M. Sufyan Beg. "An effective cybernated word embedding system for analysis and language identification in code-mixed social media text." International Journal of Knowledge-based and Intelligent Engineering Systems 23, no. (2019): 167-179.(Scopus/WoS Indexed)
  • 7 Shekhar Shashi, Anshy Singh, Subhash Agrawal,” An object centric image retrieval framework using multi-agent model for retrieving non-redundant web images” In International Journal of Image Mining,2015, Inderscience.( Scopus Indexed)

Conference

  • 1 Shashi Shekhar, Dilip Kr. Sharma and M.M. Sufyan Beg, “Hindi Roman Linguistic Framework for Retrieving Transliteration Variants using Bootstrapping” Procedia Computer Science, 2018.
  • 2 Shekhar, Shashi, and Dilip Kumar Sharma. "Computational Intelligence for Temporal Expression Retrieval in Code-Mixed Text." In 2020 International Conference on Power Electronics & IoT Applications in Renewable Energy and its Control (PARC), pp. 386-390. IEEE, 2020.
  • 3 Shashi Shekhar, Dilip Kr. Sharma and M.M. Sufyan Beg “Linguistic structural framework for encoding transliteration variants for word origin detection using bilingual lexicon”.  In International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT),AMU, Aligarh,2017
  • 4 Prakhar Gupta, Rakshi Negi,Shashi Shekhar "Searching made easy: A multithreading based desktop search engine" in International Conference on Communication Systems and Network Technologies (CSNT),IIIT Nagpur,2017.
  • 5 Shivam Rathi,Shashi Shekhar, Dilip Kr. Sharma "Opinion mining classification based on extension of opinion mining phrases" In Proceedings of International Conference on ICT for Sustainable Development, NIT Jaipur, Springer, 2016.
  • 6 Anurag, Bhargav,Shashi Shekhar, K.V. Arya" An object based image retrieval framework based on automatic image annotation" In International Conference on Industrial and Information Systems (ICIIS),IIITM Gwalior,2014
  • 7 Anita Raj, Shashi Shekhar, K.V. Arya "A web link retrieval framework for retrieving non redundant description based web links" In International Conference on Industrial and Information Systems (ICIIS), IIITM Gwalior, 2014.
  • 8 Rakesh Kumar,K.V. Arya,Shashi Shekhar, Rohit Agarwal "An on demand routing protocol AODV with end to end reliability and backward route informationIn International Conference on Industrial and Information Systems (ICIIS), IIITM Gwalior, 2014.
  • 9 Anshy Singh, Shashi Shekhar, Anand Singh Jalal "Semantic based image retrieval using multi-agent model by searching and filtering replicated web images" In World Congress on Information and Communication Technologies. IIIT Trivendrum, 2012.
  • 10 Shashi Shekhar, K.V. Arya, Rakesh Kumar,Rohit Agarwal "A WEBIR crawling framework for retrieving highly relevant web documents: evaluation based on rank aggregation and result merging algorithms. In International Conference on Computational Intelligence and Communication Networks. IIITM Gwalior, 2011.
  • 11 Shekhar, Shashi, Rohit Agrawal, and Karm Veer Arya. "An architectural framework of a crawler for retrieving highly relevant web documents by filtering replicated web collections." In 2010 International Conference on Advances in Computer Engineering, pp. 29-33. IEEE, 2010
  • 12 Agarwal, Rohit, KarmVeer Arya, and Shashi Shekhar. "An architectural framework for web information retrieval based on user's navigational pattern." In 2010 5th International Conference on Industrial and Information Systems, pp. 195-200. IEEE, 2010.
  • 13 Agarwal, Rohit, K. V. Arya, Shashi Shekhar, and Rakesh Kumar. "An Efficient Weighted Algorithm for Web Information Retrieval System." In 2011 International Conference on Computational Intelligence and Communication Networks, pp. 126-131. IEEE, 2011.
  • 14 Anita Raj, Shashi Shekhar, and K. V. Arya. "A web link retrieval framework for retrieving non redundant description based web links." In 2014 9th International Conference on Industrial and Information Systems (ICIIS), pp. 1-4. IEEE, 2014.

Achievements

  • Received certificate of excellence for teaching and research in session 2019-20 from Vice Chancellor, GLA University Mathura.
  • Received certificate of excellence for class room teaching in session 2018-19 from Vice Chancellor, GLA University Mathura.
  • IBM Certified Academic Associate.
  • Mission10X High Impact Teaching Skills certified by Wipro Technologies.