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    Paramita Chattopadhyay

    About


    Dr. Paramita Chattopadhyay received the B.E., M.E., and Ph.D. in Electrical Engineering from Bengal Engineering College and Science University, Shibpur, India in 1993, 1996, and 2002, respectively.  Currently, she is an Associate Professor in the department of Electrical Engineering, Indian Institute of Engineering Science and Technology, Shibpur (Formerly BESU, Shibpur), India. She received Young Scientist Award (DST, Govt. of India), and Commonwealth Fellowship (UK) in the year 2002 and 2003 respectively. She was the visiting professor in Hanyang University, South Korea in the year 2008.  She has executed number of sponsored research projects funded by DST, AICTE, CSIR, IE(I) and NPP project of CPRI ( Ministry of Power, Govt. of India) and developed laboratory with state of the art facilities in the area of condition monitoring of rotating machines.  She has published more than 50 research papers in various international journals &  prestigious conferences and filed two Indian patents. She has already guided three PhD and twenty five M. Tech thesis. Four more PhD scholars are working under her supevision. Dr. Chattopadhyay is an IEEE member. She has already taught the courses like Electrical and Electronic Measurement, Signal and systems, Softcomputing, AI and ANN in undergraduate level and Condition Monitoring of Electrical Equipment, Application of soft computing in Electrical Engineering in Postgraduate level.   She is a passionate researcher and her research interests include condition monitoring of Electrical Equipment, Machine Learning, Signal processing,   design and development of intelligent systems, AI based smart grid management, Energy Informatics, learning in control and Applications of nano technology in power and energy sectors.

    Academic Qualifications


    • Ph.D. (Engg.)
    • M.E. (Electrical Engg.)
    • B.E. (Electrical Engg.)

    Research Statement


    • Condition monitoring of Eelectrical Equipment
    • Machine learning , Signal Processing, Intelligent system
    • Wide Area Monitoring, Protection and Control
    • Smart Grid Management & Energy Informatics
    • Learning in  Control
    • Application of Nano Technology in Power  and Energy Sectors

    Latest Publications


  • 1 Sayanee Das, Paramita Chattopadhyay, Data-driven Inertia Estimation of Power System using Autoencoder-based Unsupervised Feature Learning, IEEE ASPCON (Accepted), 2023
  • 2 Subhadeep Kar, Sayanee Das, Paramita Chattopadhyay, Improved Forecasting of Electric Vehicle Charging Load using Neural Architecture Search, IEEE 7th International Conference on Computer Application in Electrical Engineering – Recent Advances (CERA 23), Accepted, 2023
  • 3 Saubhik Maulik, Pratyay Konar, Paramita Chattopadhyay, Fusion of Vibration and Current signals for Improved Multi Class Fault Diagnosis of Three Phase Induction Motor, IEEE ASPCON (Accepted), 2023
  • 4 D. Mitra, K. Chanda, S. Bhattacharjee, P. Bairi, K. K. Chattopadhyay, P. Chattopadhyay, Enhanced interfacial evaporation and desalination by solar heat localisation using nitrogenated graphitic carbon and Co3O4 nanorods, 257, 112361, Solar Energy Materials and Solar Cells (Elsevier) https://doi.org/10.1016/j.solmat.2023.112361, Impact Factor: 7.305, 2023
  • 5 M. M. Bhunia, K. K. Chattopadhyay, S. K. Kalpathy, P. Chattopadhyay, Role of fluorinated h-BN in Enhancing Electrical Breakdown Voltage and stability of Transformer oil, Accepted on September 2023, Journal of Nanoparticle Research (Springer), Impact Factor :2.503, 2023
  • 6 M. M. Bhunia, K. K. Chattopadhyay, P. Chattopadhyay, Transformer Oil Nanofluids by Two-Dimensional Hexagonal Boron Nritide Nanofillers, 105, 813-825, Electrical Engineering, Springer, https://doi.org/10.1007/s00202-022-01699-x (Impact Factor : 2.21), 2023
  • 7 Saubhik Maulik, Pratyay Konar, Paramita Chattopadhyay, Stator Current Based Multi-Class Fault Diagnosis of Three Phase Induction Motor using Machine Learning Framework, IEEE CATCON, 2022
  • 8 Subhrajit Mitra, Rajarshi Mukhopadhyay, Paramita Chattopadhyay, PSO Driven Designing of Robust and Computation Efficient 1D-CNN Architecture for Transmission Line Fault Detection, 210, 118178, Expert Systems with Applications (Elsevier) https://doi.org/10.1016/j.eswa.2022.118178 ( Impact Factor: 8.66), 2022
  • 9 Rajib Majumdar, Abhishek Rai, Paramita Chattopadhyay, Inpact of Renewable Energy Penetration in PMU Based Grid Event Detection Using Machine Learning Framework, 9th International Conference on Power System - ICPS 2021, 2021
  • 10 D. Mitra, K. K. Chattopadhyay, P. Chattopadhyay, Generation of stable thermal gradient by solar energy harvesting in porous cobalt oxide based nanofluid, Sustainable Energy Technologies and Assesment (Elsevier), (Impact Factor : 7.632), 2021
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    Research Areas


    • Design &Development of Resource Sustainable and Computation Efficient AI algorithms for signal processing, control and decision making
    • Exploring Semi-supervised Learning/Reinforcement Learning in Designing Adaptive Controller for Complex Nonlinear System
    • Exploring Two Dimensional Nanofillers for Transformer Oil Nanofluids
    • Investigation on the Application of Nanotechnology in Energy Harvesting
    • Data Driven Technologies and Learning in Control for Modern Power and Energy Systems
    • Condition monitoring of Variable Speed Drives : Signal Processing and Machine Learning Based Approach

    Publications


    1 D. Mitra, K. Chanda, S. Bhattacharjee, P. Bairi, K. K. Chattopadhyay, P. Chattopadhyay, Enhanced interfacial evaporation and desalination by solar heat localisation using nitrogenated graphitic carbon and Co3O4 nanorods, 257, 112361, Solar Energy Materials and Solar Cells (Elsevier) https://doi.org/10.1016/j.solmat.2023.112361, Impact Factor: 7.305, 2023
  • 2 M. M. Bhunia, K. K. Chattopadhyay, S. K. Kalpathy, P. Chattopadhyay, Role of fluorinated h-BN in Enhancing Electrical Breakdown Voltage and stability of Transformer oil, Accepted on September 2023, Journal of Nanoparticle Research (Springer), Impact Factor :2.503, 2023
    • 3 M. M. Bhunia, K. K. Chattopadhyay, P. Chattopadhyay, Transformer Oil Nanofluids by Two-Dimensional Hexagonal Boron Nritide Nanofillers, 105, 813-825, Electrical Engineering, Springer, https://doi.org/10.1007/s00202-022-01699-x (Impact Factor : 2.21), 2023 4 Subhrajit Mitra, Rajarshi Mukhopadhyay, Paramita Chattopadhyay, PSO Driven Designing of Robust and Computation Efficient 1D-CNN Architecture for Transmission Line Fault Detection, 210, 118178, Expert Systems with Applications (Elsevier) https://doi.org/10.1016/j.eswa.2022.118178 ( Impact Factor: 8.66), 2022
  • 5 D. Mitra, K. K. Chattopadhyay, P. Chattopadhyay, Generation of stable thermal gradient by solar energy harvesting in porous cobalt oxide based nanofluid, Sustainable Energy Technologies and Assesment (Elsevier), (Impact Factor : 7.632), 2021
  • 6 Mississippi M. Bhunia, Karamjyoti Panigrahi, Chandra B. Naskar, Souvik Bhattacharjee, Kalyan K. Chattopadhyay, Paramita Chattopadhyay, 2D Square Nanosheets of Anatase TiO2: A surfactant Free Nanofiller for Transformer Oil Nanofluids, Accepted on December 2020, in press, Journal of Molecular Liquids (Elsevier), ( Impact Factor 6.153), 2020
    • 7 Panigrahy, P.S., Santra, D. and Chattopadhyay, P, Decent Fault Classification of VFD fed Induction Motor Using Random Forest Algorithm, Artificial Intelligence for Engineering Design, Analysis and Manufacturing (Impact factor :1.34), 2020 8 Panigrahy, P. and Chattopadhyay, P., Tri-axial Vibration-Based Collective Feature Analysis for Decent Fault Classification of VFD Fed Induction Motor, 168(2021), Measurement (Elsevier ), (Impact Factor : 3.927), 2020
  • 9 S. Mitra, P. Chattopadhyay, Design and Implementation of Flexible Over Current Relay On FPGA, 797-806, International Journal of Energy and Power Engineering Systems (Elsevier), (Impact factor : 4.63), 2019
  • 10 P. Chattopadhyay et. al, Amorphous Graphene- Transformer Oil Nano Fluids with Superior Thermal and Insulating Properties, 139 (2018), 1010-1019, CARBON (Elsevier), (Impact Factor: 9.594), 2018
  • 11 P. S. Panigrahy, P. Chattopadhyay, Improved Classification by Non Iterative and Ensemble Classifiers in Motor Fault Diagnosis, 18(1), 95-104, Advances in Electrical and computer Engineering (Impact Factor: 1.1), 2018
  • 12 P. S. Panigrahy, P. Chattopadhyay, A Cascaded Signal Processing Approach for Incipient Broken RotorBar Fault Detection, 38(1), The international journal for computation and mathematics in electrical and electronic engineering (COMPEL)( Impact Factor: 0.9), 2018
  • 13 P. Konar, P. Chattopadhyay, Knowledge Extraction using Data Mining for Multi-Class Fault Diagnosis of Induction Motor, 166, 14–25, Neurocomputing(Elsevier), (Impact Factor: 4.438), 2015
  • 14 P. Konar, Dr. P. Chattopadhyay, Multi-Class Fault Diagnosis of Induction Motor Using Hilbert and Wavelet Transform, 30, 341–352, Applied Soft Computing( Elsevier),( Impact Factor :6.725), 2015
  • 15 P. Konar, Dr. P. Chattopadhyay, Feature Extraction Using Wavelet Transform For Multi-Class Fault Detection of Induction Motor, 95(1), 73-81, Journal of the Institution of Engineers (India), Springer: Series B, 2014
  • 16 P. Konar and Dr. P. Chattopadhyay, Bearing Fault Detection of Induction Motor using Wavelet and Support Vector Machines (SVM), 11( 2011), 4203–4211, Applied Soft Computing (Elsevier), (Impact Factor:6.725), 2011
  • 1 Sayanee Das, Paramita Chattopadhyay, Data-driven Inertia Estimation of Power System using Autoencoder-based Unsupervised Feature Learning, IEEE ASPCON (Accepted), 2023
  • 2 Subhadeep Kar, Sayanee Das, Paramita Chattopadhyay, Improved Forecasting of Electric Vehicle Charging Load using Neural Architecture Search, IEEE 7th International Conference on Computer Application in Electrical Engineering – Recent Advances (CERA 23), Accepted, 2023
  • 3 Saubhik Maulik, Pratyay Konar, Paramita Chattopadhyay, Fusion of Vibration and Current signals for Improved Multi Class Fault Diagnosis of Three Phase Induction Motor, IEEE ASPCON (Accepted), 2023
  • 4 Saubhik Maulik, Pratyay Konar, Paramita Chattopadhyay, Stator Current Based Multi-Class Fault Diagnosis of Three Phase Induction Motor using Machine Learning Framework, IEEE CATCON, 2022
  • 5 Rajib Majumdar, Abhishek Rai, Paramita Chattopadhyay, Inpact of Renewable Energy Penetration in PMU Based Grid Event Detection Using Machine Learning Framework, 9th International Conference on Power System - ICPS 2021, 2021
    • 6 R. Sen, R. Mukhopadhyay, A. Sutradhar, D. Ganguly and P. Chattopadhyay, Design of a Lyapunov based Fuzzy Controller for 3 DOF Modular Robotic Leg, 2019 Fifth Indian Control Conference (ICC), 2019 7 R. Mukhopadhyay, S. Bandyopadhyay, A. Sutradhar and P. Chattopadhyay, Performance Analysis of Deep Q Networks and Advantage Actor Critic Algorithms in Designing Reinforcement Learning-based Self-tuning PID Controllers, 2019 IEEE Bombay Section Signature Conference (IBSSC), 2019 8 R. Mukhopadhyay, R. Chaki, A. Sutradhar and P. Chattopadhyay, Model Learning for Robotic Manipulators using Recurrent Neural Networks, TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON), 2019
  • 9 R. Mukhopadhyay, P. S. Panigrahy, G. Misra and P. Chattopadhyay, Quasi 1D CNN-based Fault Diagnosis of Induction Motor Drives, 2018 5th International Conference on Electric Power and Energy Conversion Systems (EPECS), 2018
    • 10 P. Chattopadhyay, N. Saha, C. Delpha and J. Sil, Deep Learning in Fault Diagnosis of Induction Motor Drives, 1068-1073, 2018 Prognostics and System Health Management Conference (PHM-Chongqing), Chongqing, 2018
  • 11 P. S. Panigrahy, D. Santra, P. Chattopadhyay, Feature Engineering In Fault Diagnosis Of Induction Motor, 3rd International Conference on Condition Assessment Techniques in Electrical Systems ( IEEE- CATCON-2017), 2017
  • 12 M. Mondal, P. Mondal,N. Saha and P. Chattopadhyay, Automatic Number Plate Recognition Using CNN Based Self Synthesized Feature Learning, IEEE-CALCON2017, 2017
  • 13 T. Dutta, D. Santra, C. P. Lim, J. Sil, P. Chattopadhyay, Statistical feature analysis of thermal images of electrical equipment, International Conference on Recent Trends in Operations Research and Statistics (RTORS-2017), IIT Roorkee, 28-30 th December, 2017, 2017
    • 14 P. S. Panigrahy, P. Konar and P. Chattopadhyay, Application of Data Mining in Fault Diagnosis of Induction Motor, 274-278, IEEE First International Conference on Control, Measurement and Instrumentation ( IEEE CMI-2016), January 8-10, 2016, 2016
  • 15 T. Dutta, P. Chattopadhyay, Condition Monitoring of Electrical Equipment using Thermal Image Processing, IEEE First International Conference on Control, Measurement and Instrumentation ( IEEE CMI-2016), January 8-10, 2016., 2016
  • 16 P. S. Panigrahy, S. Mitra, P. Konar, P. Chattopadhyay, FPGA Friendly Fault Detection Technique for Inverter Fed Induction Motor, 299-303, 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC-2016), January 28 - 30, 2016, 2016
  • 17 S. Mitra, P. Chattopadhyay, Challenges in implementation of ANN in embedded system, 1794-1798, International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), Chennai, March 3-5, 2016, 2016
  • 18 M. M. Bhunia, S. Das, P. Chattopadhyay, S. Das, K. K. Chattopadhyay, Enhancement of thermal conductivity of transformer oil by exfoliated white graphene nanosheets, 1-5, 16th IEEE International Conference on Environment and Electrical Engineering (EEEIC), Florence, 2016, 2016
  • 19 S. Mondal, P. Chattapadhyay, Fuzzy Vs. Neuro-fuzzy: Implementation on the Reconfigurable FPGA System, International Conference on Energy, Power and Environment (ICEPE 2015), 12-13th June 2015, 2015
  • 20 P. S. Panigrahy, P. Konar, P. Chattopadhyay, Broken Bar Fault Detection using Fused DWT-FFT in FPGA Platform, International Conference on Power, Control and Embedded Systems (ICPCES-2014), December 28-29, 2014., 2014
  • 1 Sayanee Das, Paramita Chattopadhyay, Learning in Load Frequency Control for Stochastic Power Systems with Renewable Energy Integration, Innovation in Energy Management and Renewable Resources (IEMRE-2023), (Book Chapter)Lecture Notes in Electrical Engineering, Springer, , 2023
  • 2 M. M. Bhunia, K. K. Chattopadhyay, P. Chattopadhyay, Nanofillers for Transformer Oil Nanofluids, Handbooks on Nanofillers (Springer), Accepted on June 2023 (Book Chapter), 2023
    • 3 Bivash Chakraborty, Rajarshi Mukhopadhyay, and Paramita Chattopadhyay, Multi-objective Optimization for Complex Trajectory Tracking of 6-DOF Robotic Arm Manipulators, Computational Intelligence in Pattern Recognition, Proceedings of CIPRLecture Notes in Networks and Systems ISBN 978-981-19-3088-1 ISBN 978-981-19-3089-8 (eBook), 497-510, , 2022

    Patents


    # Patents Year
    1 Nano material including Amourphous Graphene and Nano Fluids involving the same with a base medium having significantly Enhanced Electrical Insulation and Thermal Conductivity 2017
    2 Artificial Neural Network Based Adaptive Over-Current Relay 2017

    Responsibilities


    IPR Coordinator in IIC5.0
    December 2022- till date
    Laboratory In-charge : Basic Electrical Engineering Laboratory
    2005-2008
    Head Examiner (5th & 6th Semester)
    2008-2012
    Laboratory In-charge Condition Monitoring Laboratory
    (2006- till date)
    Laboratory In-charge : Relay Laboratory :
    April 2020 - till date
    Hostel Superintendent : L. T. William Hall of Residence
    2013-2017
    Convener, Departmental Post Graduate Committee(DPGC)
    (2019- February 2022)

    Projects


    • Development of Nano-structured Transformer Oil Nano-fluids for Improvement of Thermal and Insulating Properties, Sponsored
      Completed
    • Support Vector Machine based Condition Monitoring of Induction Motor, Sponsored
      Completed
    • A Hybrid Wavelet- ANN Approach in Transformer Protection, Sponsored
      Completed
    • Incipient Fault Detection and Diagnosis of Induction Motor Drives Using Neuro-Fuzzy Techniques, Sponsored
      Completed
    • Sensor-less On-line Condition Monitoring of Induction Motor, Sponsored
      Completed

    Awards


    • Common Wealth Fellowship, Year: 2003
    • Young Scientist Award, DST, Govt. of India, Year: 2002

    Research Groups


    Pratyay Konar
    Ph. D.
    9332084414
    pratyay.konar@yahoo.com

    Research:
    Knowledge Extraction for Multi-Class Fault Diagnosis of Induction Motor

    Parth Sarathi Panigrahy
    Ph. D.
    8697947581
    parth.panigrahy@gmail.com

    Research:
    Fault Diagnosis of Induction Motor Drives: A Journey Towards Feature Learning

    Subhrajit Mitra
    Ph. D.
    8001066249
    mitra.subhrajit3059@gmail.com / mitra.subhrajit007@gmail.com

    Research:
    Design & Implementation of Machine Learning Applications in Embedded Platform

    Mississippi Missouri Bhunia
    Ph. D.
    8777625650
    mmbph100@gmail.com / myssourias1@yahoo.com

    Research:
    Exploring Two Dimensional Nanofillers for Transformer Oil Nanofluids

    Dipanwita Mitra
    Ph. D.
    9531728955
    dipanwitamitra100@gmail.com

    Research:
    Investigation on the Application of Nanotechnology in Energy Harvesting

    Rajarshi Mukhopadhyay
    Ph. D.
    9830307093
    rajarshi.mkrj@gmail.com / rajarshi.rs2017@ee.iiests.ac.in

    Research:
    Designing Intelligent Controllers for Complex Nonlinear System

    Sayanee Das
    Ph. D.
    9330483664
    sayaneerandom@gmail.com

    Research:
    Exploring Learning Based Control Strategies for Stochastic Power and Energy Systems

    Sauvik Maulik
    Ph. D.
    7003742617
    mauliksaubhik@gmail.com

    Research:
    Condition Monitoring of Electrical Drives

    Sajay Dutta
    Ph. D.
    83500067672
    6251sajaydutta@gmail.com

    Research:
    Intelligent Controller for Electrical Systems

    Created: 23 November 2019