Himanshu Sharma

Designation: Himanshu Sharma

Email: [email protected]

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Himanshu Sharma is an Assistant Professor at BIMTECH, Greater Noida in the area of Information Technology. He has completed his M. Tech in Computer Technology and Applications from National Institute of Technical Teachers Training and Research, Bhopal. He has done his Ph.D. from the Indian Institute of Management Kashipur in the area of Information Technology and Systems. His research interests include Artificial Intelligence, Machine Learning modelling, Computer Vision, and their application to the management field. Apart from this he also has a keen interest in Business analytics, Predictive Analytics, as well as the business of artificial intelligence. His research work has been published in ABDC listed journal and along with this, he has also presented his work at various national and international forums. He also reviews papers for various ABDC listed journals. Himanshu teaches various subjects in his domain such as AI & ML, Business Analytics, Management Information System, R Programming, and Advanced Excel.

  • Doctor of Philosophy (Ph.D.) in Information Technology and Systems
  • Indian Institute of Management Kashipur
  • Essays on computer vision-based approaches for sustainable e-waste management in the Indian context (2018-2024).
  • Master of Technology (M.Tech) in Computer Technology and Applications
  • National Institute of Technical Teachers Training and Research, Bhopal (2015-2017).
  • Bachelor of Technology (B.Tech) in Computer Science and Engineering
  • Yagyavalkya Institute of Technology, Jaipur (2011-2015)

  • Forecasting
  • Machine Learning Modelling
  • Computer Vision
  • Dark Side of IT

  • Business Analytics
  • Artificial Intelligence and Machine Learning
  • Advanced Excel
  • Data Analytics using Tableau, and Power BI
  • Computer Vision
  • Management Information Systems
  • R programming
  • Statistics for Managers using Spreadsheet

  • Doon Business School, Dehradhun (Aug, 23 to Dec 24).

• Assistant Professor

• Honourable mentioned Paper award for IEEE International Conference on Industrial Engineering and Engineering- Singapore (2021).

  • Sharma, H., & Kumar, H. (2024). A computer vision-based system for real-time component identification from waste printed circuit boards. Journal of Environmental Managementhttps://org/10.1016/j.jenvman.2023.119779. (ABDC-A).
  • Sharma, H., & Kumar, H., (2023). Precising E-waste generation for economic recycling. Indian Economic Journal, https://doi.org/10.1177/00194662241265473. (ABDC-B).
  • Sharma, H., & Kumar, H. (2024). A computer vision-based system for real-time component identification from waste printed circuit boards. Journal of Environmental Managementhttps://org/10.1016/j.jenvman.2023.119779. (ABDC-A).
  • Sharma, H., & Kumar, H., (2023). Precising E-waste generation for economic recycling. Indian Economic Journal, https://doi.org/10.1177/00194662241265473. (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).
  • 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).

  • Predicting of CO2 emission in the BRICS nations: A Multi variable grey model approach.
  • Enabler to Computer Vision Technology for Construction Management.

  • 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