Prof. Vandana Niranjan

About

Prof. Vandana Niranjan is working as Professor in the Department of Electronics and Communication Engineering at Indira Gandhi Delhi Technical University Delhi, India. She graduated in the year 2000 and received her B.E. degree in Electronics and Communication Engineering from Government Engineering College (now University Institute of Technology of Rajiv Gandhi Proudyogiki Vishwavidyalaya) Bhopal. In the year 2002, she received her M.Tech degree from the Department of Electronics and Communication Engineering at Indian Institute of Technology (I.I.T) Roorkee with VLSI Design as specialization. In the year 2015, she was awarded her Ph.D degree in the area of Low Voltage VLSI Design from University School of Engineering & Technology, GGSIP University Delhi. She has a teaching and research experience of approximately 20 years at Indira Gandhi Delhi Technical University Delhi. Her areas of interest includes MOSFET body bias techniques and Low-voltage Low-Power Analog CMOS circuit design. She has several publications to her credit in various international journals and conferences and Book chapters

Employment

• Indira Gandhi Delhi Technical University for Women Professor
  2019 - Present
• Indira Gandhi Delhi Technical University for Women Associate Professor
  2016 - 2018
• Indira Gandhi Delhi Technical University for Women Assistant Professor
  2002 - 2015

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (43)

• A low-temperature coefficient, low power, and area-efficient temperature-compensated CMOS voltage reference for energy harvesting systems
  Analog Integrated Circuits and Signal Processing 2025 4 citations DOI: 10.1007/s10470-025-02427-8
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• An Ultra-Low Power, Low Voltage, Low Line Sensitivity, High PSRR, Voltage Reference for IoT Applications
  Journal of Circuits, Systems and Computers 2025 8 citations DOI: 10.1142/S021812662550121X
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• Low-Noise, High PSRR and Temperature-Stable Voltage Reference for MEMS-Based Acceleration Sensor Systems
  Journal of Circuits, Systems and Computers 2025 3 citations DOI: 10.1142/S0218126625503888
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• An Ensemble and Deep Neural Network Based Approaches for Automated Sentiment Analysis
  2023 2 citations DOI: 10.1007/978-3-031-43838-7_5
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• Dynamic Body Bias
  2022 0 citations DOI: 10.4018/978-1-6684-4974-5.ch004
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• An improved source follower per detector ROIC for HgCdTe infrared photodiodes
  Microsystem Technologies 2022 1 citation DOI: 10.1007/s00542-022-05342-4
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• An efficient elite group-based routing protocol for wireless sensor network
  International Journal of Electronics 2019 9 citations DOI: 10.1080/00207217.2019.1692372
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• Efficient FIR filter design using booth multiplier for VLSI applications
  2018 International Conference on Computing, Power and Communication Technologies, GUCON 2018 2019 24 citations DOI: 10.1109/GUCON.2018.8674998
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• Frequency compensation analysis for two stage amplifier
  2018 International Conference on Computing, Power and Communication Technologies, GUCON 2018 2019 0 citations DOI: 10.1109/GUCON.2018.8675081
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• TurtleBot: Design and hardware component selection
  2018 International Conference on Computing, Power and Communication Technologies, GUCON 2018 2019 23 citations DOI: 10.1109/GUCON.2018.8675050
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