Dr V B Nikam

About

Dr V.B. Nikam, Associate Professor, Computer Engineering & IT Department, of V.J.T.I. Mumbai. Prof VB Nikam has done Bachelor, Masters and PhD in Computer Engineering. He has 25years of teaching experience, and has guided 50+ PG , 25+ UG projects, and currently supervising 4 PhD students. He has been felicitated with IBM TGMC-2010 DRONA award by IBM Academic initiatives. He works in the area of Data Mining, Machine Learning, Geoinformatics, Big Data Analytics, Spatial Data Analytics, Cloud Computing, GPU Computing, and High Performance Computing. He is In-charge, High Performance Computing Lab, Computer Engg & IT Department, VJTI.
He has 20+ publications on his credit, presented paper at international conference paper at CIMSim2013, South Korea. He worked on BARC ANUPAM Supercomputer. He has been invited to JAPAN for K-Supercomputer study tour in 2013. He has received grant form NVIDIA for CUDA Teaching and Research, 2013. Presently, He is PI & Coordinator, FDC (Geo-informatics, Spatial Computing and BigData Analytics) project funded by MHRD, Govt of India.
Prof VB Nikam is Life Member, ISTE (No. LM16823), Senior Member, CSI, Senior Member, IEEE, Senior Member, ACM since 2010.

Employment

• Dr. Babasaheb Ambedkar Technological University Head of Department, and Associate Professor
  1994 - 2008

Education

• Veermata Jijabai Technological Institute PhD COMPUTER ENGG
  2009 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (4)

• Multi fault detection and root cause analysis of wind turbine using Multivariate time series data based on autoencoder
  Engineering Applications of Artificial Intelligence 2026 DOI: 10.1016/j.engappai.2026.114700
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• Comparative Analysis of Wind Power Forecasting Using LSTM, BiLSTM, and GRU
  2023 DOI: 10.1007/978-981-19-7513-4_42
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• Intelligent multiperiod wind power forecast model using statistical and machine learning model
  Bulletin of Electrical Engineering and Informatics 2022 DOI: 10.11591/eei.v11i3.3756
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• Architectural View of Non-face-to-face Experiential Learning Through the Immersive Technologies
  2022 DOI: 10.1007/978-3-030-98404-5_27
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