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Anshul Gupta

Area Head - IT and Technology Management
Assistant Professor- Data Science


Education

  • Doctorate of Philosophy-Computer Engineering (Artificial Intelligence), Narsee Monjee Institute of Management Studies, India (2023)
  • Master of Technology-Information Technology, School of Information Technology (UTD), Rajiv Gandhi Technical University, India (2013)
  • Bachelor of Engineering-Information Technology, Lakshmi Narain College of Technology and Science, Rajiv Gandhi Technical University, India (2011)
AREAS OF EXPERTISE
  • E-commerce & Technology
  • Business Analytics
  • Data Analytics
  • Artificial Intelligence
  • Machine Learning
SUBJECTS TAUGHT / STUDENT PROJECT MENTOR
  • Python Programming
  • Data Analytics
  • Business Analytics
  • Data Science and Analytics
  • Machine Learning
  • Deep Learning
  • Fintech and Innovation Technology
  • AI in Marketing
  • Recommender Systems
  • Ethics in AI
EXPERIENCE

Academic experience

  • Assistant Professor- PGDM, Head-Center for Business Analytics, ISME-School of Management and Entrepreneurship, Mumbai, India (1st October 2018 to 10th August 2021)
  • Assistant Professor- Computer/Information Technology, Narsee Monjee Institute of Management Studies, Mumbai, India (10th April 2014 to 30th September 2018)

Research Interests

  • Recommender Systems, Time Series Forecasting, Text and Speech Analytics, Financial Analytics

RESEARCH PAPERS

  • Gupta, A., Shivhare, H., & Sharma, S. (2015, September). Recommender system using fuzzy c-means clustering and genetic algorithm based weighted similarity measure. In 2015 International Conference on Computer, Communication and Control (IC4) (pp. 1-8). IEEE.
  • Sharma, S., Gupta, A., & Agrawal, S. (2016). An intrusion detection system for detecting denial-of-service attack in cloud using artificial bee colony. In Proceedings of the International Congress on Information and Communication Technology (pp. 137-145). Springer, Singapore.
  • Gupta, A., Sharma, S., & Shivhare, H. (2016). Supervised Link Prediction Using Forecasting Models on Weighted Online Social Network. In Proceedings of International Conference on ICT for Sustainable Development (pp. 249-261). Springer, Singapore.
  • Sharma, S., Gupta, A., & Agrawal, S. (2015). A survey of intrusion detection system for denial of service attack in cloud. International Journal of Computer Applications, 120(19).
  • Gupta, Anshul, and Pravin Srinath."Survey on Recommender System using Hybrid Collaborative Filtering Techniques in Online Social Network." Design Engineering (2021): 14468-14479.
  • Gupta, A., Srinath, P. A recommender system based on collaborative filtering, graph theory using HMM based similarity measures. Int J Syst Assur Eng Manag (2022)
  • Gupta, A., & Shrinath, P. (2023). A novel recommendation system comprising WNMF with graph-based static and temporal similarity estimators. International Journal of Data Science and Analytics, 16(1), 27-41.
  • Gupta, A., & Shrinath, P. (2023). Link Prediction based on bipartite graph for recommendation system using optimized SVD++. Procedia Computer Science, 218, 1353-1365.

EDITORIAL AND REVIEWER ACTIVITIES

  • Reviewer at International Journal of Systems Assurance Engineering and Management (IJSA)

AWARDS & RECOGNITION

  • Speaker at IEEE Congress, Mumbai, India
  • Speaker at Fintech and AI series, Fintech Hive, DIFC, Dubai, UAE
  • Design patent- Device to monitor the expression of customer in mall, patent no. 356427-001, published in the Official Journal of the Patent Office, India 7.
  • Consultancy project- Building a Recommendation Engine for an Omni-commerce platform for BuyQ, SFC, Singapore

MEMBERSHIPS

  • Lifetime member of the Indian Society for Technical Education

MEDIA APPEARANCES & COVERAGE