Dr. VPS Naidu
Also known as: VPS Naidu
AcSIR, National Aerospace Laboratories CSIR, Anna University Chennai, VR Sidhartha Engineering College, M S Ramaiah Institute of Technology, University of Mysore
0000-0002-0921-5177
About
Dr. VPS Naidu obtained M.E in Medical electronics from Anna University Chennai and PhD from University of Mysore, Mysore in board of studies, Electronics. He is working at Multi sensor data fusion lab, CSIR - National Aerospace Laboratories, Bangalore as principal scientist and associate professor (AcSIR). His areas of interest are: Multi Sensor Data Fusion and Enhanced Flight Vision System. He received four awards for his research contribution. He has more than fifty papers and forty-five technical reports. He is actively involved in student project programme organized by Karnataka state council for science and technology (KSCST) from 2007. Organizing committee member in Aerolympics from 2012. He is fellow of IETE, IE(I) and CET.
Employment
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AcSIR Associate Professor2011 - Present
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M S Ramaiah Institute of Technology Faculty2000 - 2001
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Indian Institute of Technology Madras Project Associate1997 - 2000
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National Aerospace Laboratories CSIR Principal Scientist
Education
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Anna University Chennai ME
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VR Sidhartha Engineering College B. Tech
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University of Mysore PhD
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SV Govt. Polytechnic College DECE
Projects & Funding
Projects & funding information is unavailable.
Publications (337)
- MULTI-SCALE RECURRENCE QUANTIFICATION ANALYSIS OF TIME SERIES FOR BEARING HEALTH MONITORING Save
- Mathematical Modelling of Aerospace Dynamic Systems with Practical Applications Save
- Simulation and Fault Classification of Rolling Element Bearings for Precision Machinery Health Monitoring Save
- Bispectral analysis and information fusion technique for bearing fault classification Save
- Exploration of an unconventional validation tool to investigate aero engine transonic fan flutter signature Save
- Fault Detection in Machine Bearings Using Deep Learning Save
- Fault Detection in Machine Bearings Using Deep Learning Save
- Machine Learning-based Bearing Fault Classification Using Higher Order Spectral Analysis Save
- Machine learning augmented multi-sensor data fusion to detect aero engine fan rotor blade flutter Save
- Machine learning based bearing fault classification using higher order spectral analysis Save