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Prof. Himanshu Sharma

Assistant Professor
IT and Analytics


Qualification

  • PhD (pursuing) in Information Technology and Systems from IIM Kashipur(2018-23)
  • MTech in Computer Technology and Applicationsfrom NITTTR Bhopal (2015-17)
  • BTech in Computer Science and Engineeringfrom YIT Jaipur (2011-15)

Research Publications

  • Sharma, H., & Kumar, H., (2023). Precising E-waste generation for economic recycling. Indian Economic Journal, (Forthcoming), (ABDC-B).
  • Sharma, H., Kumar, H., & Mangla, S.K. (2023). Enablers to Computer Vision Technology for sustainable E-waste Management. Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2023.137396. (ABDC-A).
  • Sharma, H.,& Rizvi, M. A. (2017). Prediction of heart disease using machine learning algorithms: A survey. International Journal on Recent and Innovation Trends in Computing and Communication, 5(8), 99-104. (UGC-Listed).
  • Ashraf, M., Rizvi, M. A., &Sharma, H. (2019). Improved heart disease prediction using deep neural network. Asian Journal of Computer Science and Technology, 8(2), 49-54. (UGC-Listed).

Paper presented in Conferences

  • Sharma, H., Kumar, K., & Kumar, H. (2022). Automatic Detection of Sugarcane Diseases: A Computer Vision based Approach, International Conference on Computer Vision- Dubai.
  • Bhuyan, A., Sanguri, K., &Sharma, H., (2021) Improving the Keyword Co-occurrence Analysis-An Integrated Semantic Similarity, IEEE International Conference on Industrial Engineering and Engineering Management- Singapore.
  • Sharma, H., (2019) Improved Text Summarization Using Deep learning: A Framework for Business Application, 7th International Conferences on Business Analytics and Intelligence- IIM Bangalore.
  • Kumar, S., Singh, K., &Sharma, H. (2019). ICT Adoptions in Tribals Areas: A Conceptual Framework, (2019), 7th Pan IIM conference- IIM Rohtak.

Area of interests- Artificial intelligence, Machine learning, Computer vision, Business analytics, Forecasting, Natural Language Processing and Digital transformation.

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"In accordance with the latest Govt. guideline the institute authorities at Doon Business School Group decided to call off the GDPI Scheduled at different locations till 30th May 2020. All Enrolled candidates will be interviewed via Skype/Zoom (Online mode)".