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Corporate-Color
Nitin Choudhary

Nitin Choudhary

Adjunct Faculty


Education

  • MBA (Post Graduate Diploma in Industrial Engineering), IIM Mumbai (previously NITIE), India (2012)
  • B. Tech in Mechanical Engineering, UIET Kanpur, India (2009)
AREAS OF EXPERTISE
  • Logistics & Supply Chain Management
SUBJECTS TAUGHT / STUDENT PROJECT MENTOR
  • Logistics Operation
  • Global Transportation Management
  • Demand Management
  • Strategic Sourcing
EXPERIENCE

Academic experience

  • 2.5 Years teaching at SP Jain Dubai to MBA students.
  • Over 3 years as Corporate Trainer for Supply Chain working professionals (APICS CSCP, CPIM and other certificate preparation)

CORPORATE EXPERIENCE

  • 9 years in various roles in Supply Chain in multiple MNCs (Planning, Purchasing, Operations, Process Excellence), handling countries in Europe, the Middle East, the Indian sub-continent, Asia and Northern America.

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