Avishek Adhikary

About

Dr. Avishek Adhikary is Assistant Professor in the Department of Electrical Engineering and Computer Science, IIT Bhilai, India. He received his BEE degree in Electrical Engineering from Jadavpur University, Kolkata, in 2007 and M.Tech. degree from Indian Institute of Technology, Kharagpur, in 2012 and Ph.D degree from IIT Kharapur, India, in 2018. His research interests include design and fabrication of of fractional order devices and circuits and systems, modelling of electrochemical cells, battery management system, and automated water quality monitoring.

Employment

• Indian Institute of Technology Bhilai Assistant Professor
  2018 - Present
• Indian Institute of Technology Kharagpur Research Associate
  2018 - 2018
• Tata Consultancy Services Ltd Assistant System Engineer, Module Leader
  2007 - 2010

Education

• Indian Institute of Technology Kharagpur PhD
  2012 - 2018
• Indian Institute of Technology Kharagpur M. Tech
  2010 - 2012
• Jadavpur University B. E.
  2003 - 2007
• Hare School
  1991 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (36)

• Identification of Adulteration and Brands of Packaged Mango Juices Using KNN Model on LDA-Reduced Hydrogel Impedance Data
  IEEE Sensors Letters 2026 0 citations DOI: 10.1109/LSENS.2026.3654627
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• Multicondition Crack Detection and Surface Assessment for Underwater Metal Structures Using Adaptive Vision Models
  IEEE Sensors Letters 2026 0 citations DOI: 10.1109/LSENS.2026.3708183
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• A Machine Learning Based Classification of Urine Urea Using CSVM Model Trained on PCA Reduced EIS Data Obtained From Disposable Biosensor
  IEEE Sensors Letters 2026 DOI: 10.1109/LSENS.2026.3731848
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• An IoT-Based Real-Time Elevator Health Monitoring System Using LSTM Autoencoder
  IEEE Sensors Letters 2026 1 citation DOI: 10.1109/LSENS.2025.3643941
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• Reinforcement Learning-Based Autonomous UAV Navigation for CO Source Localization
  IEEE Sensors Letters 2025 2 citations DOI: 10.1109/LSENS.2025.3596388
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• Ripe Stage Detection and Optimal Ripe Hours Prediction of a Banana Using Modified Fractional Order Colpitts Oscillator
  IEEE Transactions on Instrumentation and Measurement 2025 6 citations DOI: 10.1109/TIM.2025.3565248
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• Ripe Stage Identification of Amrapali Mango Using QSVM Classifier on Six-Point Impedance Phase Data
  IEEE Transactions on Instrumentation and Measurement 2025 0 citations DOI: 10.1109/TIM.2025.3638941
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• Detection of Urea in Adulterated Milk With 3% Fat Using Disposable Paper Sensor
  IEEE Sensors Letters 2024 7 citations DOI: 10.1109/LSENS.2024.3417283
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• Ripe Stage Classification of Chausa and Banganapallle Mango Using Fractional Order Colpitts Oscillator
  IEEE Sensors Letters 2024 7 citations DOI: 10.1109/LSENS.2024.3433017
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• Classification of Sugar Samples From PCA-Reduced Impedimetric Data Using QD Model
  IEEE Transactions on Instrumentation and Measurement 2024 3 citations DOI: 10.1109/TIM.2024.3394472
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