Dr. Sandeep Kumar Budhani

About

Dr. Sandeep Kumar Budhani received his Ph.D in Computer Science. He is Microsoft Certified Professional and Microsoft Certified Database Administrator also. He is having more than 20 year of teaching experience. His area of interest is Data mining, Machine learning, Artificial neural network and Green computing

Employment

Employment history is unavailable.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (7)

• Analysis of Risk and Security Within Fog Computing-Enabled e-Healthcare System in Uttarakhand
  Lecture Notes on Data Engineering and Communications Technologies 2022 DOI: 10.1007/978-981-16-3961-6_3
  +Save
• Analytical Review of Data Security in Cloud Computing
  Proceedings of 2021 2nd International Conference on Intelligent Engineering and Management, ICIEM 2021 2021 DOI: 10.1109/ICIEM51511.2021.9445355
  +Save
• Quicker sort algorithm: Upgrading time complexity of quick sort to linear logarithmic
  Proceedings of 2nd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2021 2021 DOI: 10.1109/ICCAKM50778.2021.9357725
  +Save
• A Model for prediction of consumer conduct using machine learning algorithm
  Proceedings of International Conference on Intelligent Engineering and Management, ICIEM 2020 2020 DOI: 10.1109/ICIEM48762.2020.9160311
  +Save
• Security challenges in implementing a secured hybrid cloud model for e-health services
  Proceedings of the 2020 9th International Conference on System Modeling and Advancement in Research Trends, SMART 2020 2020 DOI: 10.1109/SMART50582.2020.9337096
  +Save
• Performance analysis of hierarchical and nonhierarchical routing techniques in wireless sensor networks
  ICSCTET 2014 - International Conference on Soft Computing Techniques for Engineering and Technology 2016 DOI: 10.1109/ICSCTET.2015.7371197
  +Save
• Prediction of stock market using artificial neural network
  ICSCTET 2014 - International Conference on Soft Computing Techniques for Engineering and Technology 2016 DOI: 10.1109/ICSCTET.2015.7371196
  +Save