Aishwarya Banerjee

About

I am a CSIR-SRF Direct awardee at CSIR-CMERI and a research scholar at AcSIR, Ghaziabad, holding an M.Tech degree from NIT Durgapur. A graduate student member of IEEE. My primary research interests lie in Acoustic Emission, Signal Processing, Instrumentation, Digital Filters, and Machine Learning, focusing on developing advanced techniques for crack detection in metallic structures using acoustic emission testing. I have contributed to the field with 3 SCI journal publications, 2 conference papers (One has the Best Paper of the Session Award at the IEEE Conference), and 1 patent. In addition, my secondary research explores the application of IoT in agriculture, particularly in precision irrigation and real-time field monitoring. I have developed more than one efficient IoT-based automatic irrigation system that enhances water use efficiency and crop management, with 1 SCI journal publication, 4 conference papers, and 1 copyright to my name. My M.Tech research, focusing on Power Electronics and Machine Drives, led to the development of a control scheme for grid-connected solar inverters, advancing efficient renewable energy systems as presented at a conference. Looking ahead, I aim to integrate signal processing, machine learning, and IoT technologies to drive innovation in structural health monitoring and sustainable smart farming systems.

Employment

Employment history is unavailable.

Education

• Central Mechanical Engineering Research Institute CSIR AcSIR PhD Student
  2020 - Present
• National Institute of Technology Durgapur M TECH
  2016 - 2018
• Bengal College of Engineering and Technology for Women, Durgapur B TECH
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Acoustic Emission Signal Localization in Steel Specimen Using Neural Networks with Multi-Sensor Feature Concatenation
  2025 International Conference on Emerging Smart Computing and Informatics Esci 2025 2025 DOI: 10.1109/ESCI63694.2025.10988226
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• Discrimination of Acoustic Emission Signals Generated from Different Sources Using Support Vector Machine
  2025 DOI: 10.1007/978-981-97-6367-2_45
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• Preamplifier with Multi Selectable Gain and Bandwidth for Acoustic Emission Signal
  Council of Scientific & Industrial Research, India 2024
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• Sensor Network for Automatic Irrigation system and Real-time Agricultural Field Monitoring
  Central Mechanical Engineering Research Institute 2023
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• A Mathematical Algorithm for Predicting the Crack in the Junction of a Steel Truss Bridge Using Acoustic Emission Testing
  International Journal of Steel Structures 2023 DOI: 10.1007/s13296-023-00727-1
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• An experimental study on health monitoring of rail section using an indigenously developed AE system
  International Journal of Structural Engineering 2023 DOI: 10.1504/IJSTRUCTE.2023.134346
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• Development of indigenous acoustic emission system for structural health monitoring
  Research Square 2023 DOI: 10.21203/rs.3.rs-3271721
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• Experimental performance of soil monitoring system using IoT technique for automatic drip irrigation
  International Journal of Communication Systems 2023 DOI: 10.1002/dac.5617
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• IoT-Based Automatic Irrigation Scheduling Using MQTT Protocol
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-5224-1_58
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• IoT-Based Smart Monitoring of Soil Parameters for Agricultural Field
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-5224-1_60
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