Faculty

Dr. Yogesh Gupta has more than 15 years of experience in teaching and research. Before joining BMU, he has given his services to many institutes like Manipal University Jaipur, GLA University Mathura etc. He did his doctorate (Ph.D.) from Dayalbagh Educational Institute, Agra (Deemed University) in 2017. His doctoral research was focused on enhancing information retrieval systems using soft computing techniques. He has also worked on a project at Institute for Systems Studies & Analyses department, DRDO, Delhi. He is an active researcher, guiding research, publishing 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 two PhD students. Candidates. He has published various research papers in International reputed Journals and Conferences. He has completed one R&D project funded by UP-Council of Science and Technology as CO-PI. He has chaired many sessions in various international conferences. He was invited to deliver his expert talk at ISCON-2019. He is a lifetime member of the 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

• Yogesh Gupta and Atul Prakash Prajapati, “A novel architecture modelling of Artificial Social Cognitive Agent for teaching the concepts,” Journal of Information and Knowledge Management, 23(02), 2350065, 2024.
• Yogesh Gupta, Ghanshyam Raghuwanshi, Utkarsh Sharma and Amit Mishra, “Impact of Weather Predictions on Covid-19 Infection Rate by Using Deep Learning Models,” Complexity, Hindawi, vol. 2021, Article ID 5520663, 2021.
• Yogesh Gupta, “Novel distributed load balancing algorithms in cloud storage,” Expert System with Applications, Elsevier, vol. 186, 115713, 2021.
• Ghanshyam Raghuwanshi, Yogesh Gupta, Deepak Sinwar, Dilbag Singh, Usman Tariq and Kuntha Pin, “Image segmentation based on block level adaptive multi threshold and Hybrid directional local extrema pattern,” CMC- Computers, Materials & Continua, Tech Science, vol. 70, Issue 2, pp. 3939-3954, 2021.
• 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, vol. 16, Issue 3, Article 5, pp. 73-95, 2020.
• 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.
• 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, 2019.
• Yogesh Gupta and Ashish Saini, “A novel Fuzzy-PSO term weighting automatic query expansion approach using semantic filtering,” Knowledge Based System, Elsevier, vol 136, pp 97-120, 2017.
• 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.
• 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.
• 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”

• Reviewer – Expert System with Applications, Elsevier
• Reviewer – Journal of Ambient Intelligence and Humanized Computing, Springer.