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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 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 5.065), 2020
  • 2 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
  • 3 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 : 3.36), 2020
  • 4 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
  • 5 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
  • 6 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
  • 7 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 : 3.5), 2019
  • 8 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
  • 9 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
  • 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: 8.8), 2018
  • View More

    Research Areas


    • Design & Implementation of Machine Learning Applications in Low–Cost Embedded Platform
    • 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
    • Smart Grid: Mitigation of new dynamics and stochasticity of Power System using AI and Machine Learning
    • Data Driven Wide Area Monitoring, Protection and Control
    • Condition monitoring of Variable Speed Drives : Signal Processing and Machine Learning Based Approach

    Publications


  • 1 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 5.065), 2020
  • 2 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 3 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 : 3.36), 2020
  • 4 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 : 3.5), 2019
  • 5 P. Chattopadhyay et. al, Amorphous Graphene- Transformer Oil Nano Fluids with Superior Thermal and Insulating Properties, 139 (2018), 1010-1019, CARBON (Elsevier), (Impact Factor: 8.8), 2018
  • 6 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
  • 7 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
  • 8 P. Konar, P. Chattopadhyay, Knowledge Extraction using Data Mining for Multi-Class Fault Diagnosis of Induction Motor, 166, 14–25, Neurocomputing(Elsevier), (Impact Factor: 4.4), 2015
  • 9 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 :5.4), 2015
  • 10 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
  • 11 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:5.4), 2011
  • 1 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 2 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 3 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
  • 4 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
  • 5 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
  • 6 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
  • 7 M. Mondal, P. Mondal,N. Saha and P. Chattopadhyay, Automatic Number Plate Recognition Using CNN Based Self Synthesized Feature Learning, IEEE-CALCON2017, 2017
  • 8 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
  • 9 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
  • 10 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
  • 11 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
  • 12 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
  • 13 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
  • 14 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
  • 15 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
  • 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


    Laboratory In-charge : Basic Electrical Engineering
    2005-2008
    Head Examiner (5th & 6th Semester)
    2008-12
    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- till Date)

    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:
    Semi supervised Learning in Designing Adaptive Controller for Complex Nonlinear System

    Rajib Majumdar
    Ph. D.
    9477864436
    rajibmajumdar835@gmail.com

    Research:
    Wide Area Monitoring, Protection and Control: Machine Learning Based Approach

    Created: 23 November 2019