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    Faculty

    Meet the Associate Professor

    Yogesh Gupta

    Associate Professor,
    School of Engineering

    prabhakar

    Dr. Yogesh Gupta is working as an Associate Professor in School of Engineering and Technology. He has more than 10 years of experience in teaching, research and administration. Before joining BMU, He has given his services to many institutes like Manipal University Jaipur, GLA University Mathura and etc. He did his doctorate (Ph.D.) from Dayalbagh Educational Institute, Agra (Deemed University) in 2017. He passed B.Tech. from Uttar Pradesh Technical University in 2004. He has also worked on a project at Institute for Systems Studies & Analyses department, DRDO, Delhi. He is an active researcher, guiding research, published papers in journals of national and international repute, and is also involved in R&D projects.

    He teaches Information Retrieval System, Big Data Analytics etc. His research interests include Intelligent Information Processing, Evolutionary Algorithms, Information Retrieval, Data Analytics etc. He has guided two M. Tech. Dissertations and several UG projects. He is also supervising 1 PhD. He has published various research papers in International reputed Journals and Conferences. He is also co-PI of one R&D project funded by UP-Council of Science and Technology. He has chaired many sessions in various international conferences. He was invited to deliver his expert talk in ISCON-2019. He is a life time member of Computer Society of India.

    • Graduation In: B.Tech.
    • Graduation From: Uttar Pradesh Technical University
    • Graduation Year: 2004
    • Post Graduation In: Computer Science and Engineering
    • Post Graduation From: Singhania University
    • Post Graduation Year: 2010
    • Doctorate In: Information Retrieval System
    • Doctorate From: Dayalbagh Educational Institute
    • Doctorate Year: 2017
    • Information Retrieval
    • Big Data Analytics
    From - To (Year) Designation & Organization Core Competency Additinal Exp. Details
    Mar 2020 to Present Associate Professor, BML Munjal University Data Analytics, Information Retrieval System, Text Mining
    • Yogesh Gupta and Ashish Saini, “A novel hybrid document clustering for PRF based Automatic Query Expansion approach for effective Information Retrieval,” Journal of e-collaborations, IGI Global, (Scopus Indexed) (Accepted)
    • Yogesh Gupta and Ashish Saini, “A novel term selection based automatic query expansion approach using PRF and semantic filtering,” International Journal of Engineering and Advanced Technology(IJEAT). vol. 8, Issue C, April 2019, pp. 130-137. (Scopus indexed)
    • Yogesh Gupta and Ashish Saini, “A new Swarm based efficient data clustering approach using KHM and Fuzzy logic,” Soft Computing, Springer, vol 23, issue 1, pp. 145-162. (SCI indexed, IF: 2.4)
    • Yogesh Gupta and Ashish Saini, “A novel Fuzzy-PSO term weighting automatic query expansion approach using semantic filtering,” Knowledge Based System, Elsevier, 2017, vol 136, pp 97-120. (SCI indexed, IF: 4.6)
    • Yogesh Gupta, Ashish Saini and A.K. Saxena, “A new fuzzy logic based ranking function for efficient Information Retrieval system,” Expert System with Application, Elsevier, 2015, vol 42, pp. 1223-1234. (SCI indexed, IF: 4.2)
    • Yogesh Gupta, Ashish Saini and A.K. Saxena, “Fuzzy logic based approach to develop hybrid similarity measure for efficient information retrieval,” Journal of Information Science, SAGE, 2014, vol 40, pp. 846-857. (SCI indexed, IF: 2.4)
    • Yogesh Gupta, Ashish Saini, A.K. Saxena, “A review on Important aspects of Information Retrieval”, International Journal of Computer, Information science and Engineering, Vol. 7, No. 12, pp. 940-948, 2013.”

    Computer Society of India

    • Coursera: The Data Scientist’s Toolbox
    • Coursera: What is Data Science?
    • Coursera: Introduction to Big Data
    • Coursera: A Crash Course in Data Science
    • “Title: “IDENTIFICATION OF UNRELIABILITY AND FAKENESS IN SOCIAL MEDIA POSTS” Agency: Council of Science & Technology, Govt. of UP Status: Sanctioned Budget: 8.34 Lacs Duration: 3 Years”