Girish Tiwari

About

Girish Tiwari (Graduate Student Member, IEEE) received the B.Tech. degree in Electronics and Communication Engineering from IIITDM Jabalpur, India in 2013 and the M.Tech. degree in Microelectronics & VLSI Design from IIT Bombay, Mumbai, India. In M.Tech., his primary research was to design ultra-wideband CMOS mmwave frequency dividers.
He has completed the Ph.D. degree in Electrical Engineering from IIT Bombay under supervision of Prof. Shalabh Gupta. He is currently researching applications of commercial mmwave radar sensors and applied machine/deep learning on radar data. His research interests include CMOS integrated circuits design, frequency dividers, radar, and applied machine/deep learning.

Employment

Employment history is unavailable.

Education

• Indian Institute of Technology Bombay Ph.D.
  2018 - 2022
• Indian Institute of Technology Bombay M.Tech.
  2014 - 2017
• PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur B.Tech.
  2009 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Physical Activity Repetition Count Extraction From Sparse mmWave Radar Point-Cloud
  2024 IEEE Applied Sensing Conference (APSCON) 2024 DOI: 10.1109/apscon60364.2024.10465981
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• 2-D Point Cloud Transformation Technique to Achieve Range–Angle Invariant Physical Activity Classification Using a Single mmWave Radar
  IEEE Sensors Letters 2024 DOI: 10.1109/LSENS.2023.3336793
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• Impact of Receiver Thermal Noise and PLL RMS Jitter in Radar Measurements
  IEEE Transactions on Instrumentation and Measurement 2024 DOI: 10.1109/TIM.2024.3370745
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• mmFiT: Contactless Fitness Tracker Using mmWave Radar and Edge Computing Enabled Deep Learning
  2023 DOI: 10.36227/techrxiv.16574588
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• mmFiT: mmWave Radar Point-Cloud Dataset of Human Fitness Activities
  2023 DOI: 10.17632/D3DT5TB74H.1
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• An mmWave Radar Based Real-Time Contactless Fitness Tracker Using Deep CNNs
  IEEE Sensors Journal 2021 DOI: 10.1109/JSEN.2021.3077511
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• A Wide Locking Range Bleed-Current Injection-Enhanced Miller Divider in V-Band
  Asia Pacific Microwave Conference 2020 DOI: 10.1109/APMC47863.2020.9331702
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• On optimization of miller divider with transformer injection enhancement
  IEEE MTT-S International Wireless Symposium (IWS) 2018 DOI: 10.1109/IEEE-IWS.2018.8400870
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• A Wide Operating Range Seamlessly Tunable mmWave LC-QVCO with Selective Frequency Mode
  DOI: 10.1109/IMARC.2018.8877127
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• Fitness Activity Classification Using mmWave Radar Point-Cloud And Machine Learning
  DOI: 10.1109/APSCON56343.2023.10101127
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