Gaurav Bhargava
Goverment Engineering College, Bansal Institute of Research and Technology, Shri Govindram Seksaria Institute of Technology and Science, Lakshmi Narain College of Technology
About
Gaurav Bhargava (Graduate Student Member, IEEE), a Ph.D. degree in the Department of Electronics and Communication Engineering from NIT Meghalaya, Shillong, India. He received a B.E. degree in Electronics and Communication Engineering from RGPV Bhopal, India, in 2009 and an M.Tech. degree in Microelectronics and VLSI Design from S.G.S.I.T.S. Indore, India, in 2012. He has received a fellowship from the Government of India for pursuing M.Tech. and Ph.D. He got the award of $100 from Maury Microwave for designing a power amplifier in a student design competition. He has 4 journals and 5 conference publications till now. His research interest includes III-V device-based analog circuit design.
Employment
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Goverment Engineering College Part-time lecturer2017 - 2019
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Bansal Institute of Research and Technology Assistant Professor2013 - 2015
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Patel College of Science and Technology Bhopal Assistant Professor2012 - 2013
Education
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Shri Govindram Seksaria Institute of Technology and Science M.Tech2010 - 2012
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Lakshmi Narain College of Technology B.E.2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Development and characterization of log periodic feedline based filter for water leakage detection in size invariant PVC pipes Save
- Design and Validation of a Microstrip Log-Periodic Feedline-Based Filter for Microwave Imaging of Rebar Save
- Impact of holes in an interdigital parallel folded coupled line-based wideband bandpass filter for X-band applications Save
- Non-Destructive Evaluation of Strength and Porosity of Bituminous Mixes Using Log- Periodic Feedlines-Based Ring Filter Save
- Design and Validation of a Low-Cost Antenna-Based Solution for Microwave Imaging of RCC Structure Save
- Pre-Distortion: An Effective Solution for Power Amplifier Linearization Save
- Auto‐encoder based hybrid machine learning model for microwave scaled GaAs pHEMT devices Save
- Assessment of Filter Design for 5G Applications Save
- Design of Novel Rat-Race Coupler Based Analog Pre-Distortion Circuit for 5G Applications Save
- GaN-based Class-F Power Amplifier for 5G Applications Save