Dr. Alok Mukherjee

Electrical Engineering
Assistant Professor
Email: alok@gcect.ac.in

Dr. Alok Mukherjee, Asst. Prof, of Government College of Engineering and Ceramic Technology, obtained his B.E. and M.E. in Electrical Engineering from the Department of Electrical Engineering, Jadavpur University in 2010 and 2013 respectively and Ph.D. in Engineering from Jadavpur University in 2021. He is presently working as an Assistant Professor of Electrical Engineering in this institute; and teaching Basic Electrical Engineering, Instrumentation & Process Control, Control System etc.

Current Research Interests:

  • Electrical Power System, Electrical Machines and Drives, Application of statistical and supervised models in data and signal analysis

Google Scholar:

https://scholar.google.com/citations?hl=en&user=u2G1i74AAAAJ

AWARDS :

  • Received Pandit Madan Mohan Malaviya Memorial Prize, 2022 of The Institution of Engineers, India for the paper entitled ‘A Differential Signal-Based Fault Classification Scheme Using PCA for Long Transmission Lines’, for the subject award of the Institution’s Journal (Journal of The Institution of Engineers (India): Series B)
  • Received Tata Rao Award, 2021 of The Institution of Engineers, India for the paper entitled ‘Application of Principal Component Analysis for Fault Classification in Transmission Line with Ratio-Based Method and Probabilistic Neural Network : A Comparative Analysis’, as the best paper published in the Electrical Engineering Division of the Institution’s Journal (Journal of The Institution of Engineers (India): Series B)
  • Received “Best Paper Award” in the Second Michael Faraday IET (UK) India Summit, Kolkata, 17th November 2013 for the paper titled “Microcontroller Based Constant Speed Low Cost Energy Efficient BLDC Motor Drive Using Proteus VSM Software”, as being one of the best papers in the session ‘Power System Analysis’.
  • Received University Medal from Jadavpur University for being the Departmental Topper (First Class First) in M.E. in Electrical Engineering Department.

Some selected Publications in Journals :

  • Mukherjee, A., Ray, S., & Das, A. (2013). Microcontroller Based Constant Speed Low Cost Energy Efficient BLDC Motor Drive Using Proteus VSM Software, International Journal of Electrical, Electronics and Computer Engineering (IJEECE), Special Issue 2(2), pp. 88-94. (Special Edition for Best Papers of Michael Faraday IET India Summit-2013, MFIIS-13)
  • “Mukherjee, A., Ray, S., & Das, A. (2014). Development of Microcontroller Based Speed Control Scheme of BLDC Motor Using Proteus VSM Software. International Journal of Electronics and Electrical Engineering, 2(1), 1-7. doi: 10.12720/ijeee.2.1.1-7”
  • “Mukherjee, A., Kundu, P., & Das, A. (2014). Identification and Classification of Power System Faults using Ratio Analysis of Principal Component Distances. Indonesian Journal of Electrical Engineering and Computer Science, 12(11), 7603-7612. doi: http://doi.org/10.11591/ijeecs.v12.i11.pp7603-7612”
  • Mukherjee, A., Ray, S., & Das, A. (2018). Microcontroller Based Speed Control And Speed Regulation Scheme For BLDC Motor Under Variable Loading Conditions. Acta Technica Corviniensis-Bulletin of Engineering, 11(3), pp. 47-56.
  • “Mukherjee, A., Kundu, P. K., & Das, A. (2020). Power system fault identification and localization using multiple linear regression of principal component distance indices. International Journal of Applied Power Engineering, 9(2), pp. 113-126. doi: http://doi.org/10.11591/ijape.v9.i2.pp113-126”
  • “Mukherjee, A., Kundu, P. K., & Das, A. (2020). Application of Principal Component Analysis for Fault Classification in Transmission Line with Ratio-Based Method and Probabilistic Neural Network: A Comparative Analysis. Journal of The Institution of Engineers (India): Series B, 101(4), 321-333. doi: https://doi.org/10.1007/s40031-020-00466-5”
  • “Lahiri, D., Ardila, A., Dubey, S., Mukherjee, A., Chatterjee, K., & Ray, B. K. (2020). Effect of bilingualism on aphasia recovery. Aphasiology, 35(8), 1103-1124. doi: https://doi.org/10.1080/02687038.2020.1812032”
  • “Mukherjee, A., Kundu, P. K., & Das, A. (2020). Transmission Line Fault Location Using PCA-Based Best-Fit Curve Analysis. Journal of The Institution of Engineers (India): Series B, 102(2), 339–350. doi: https://doi.org/10.1007/s40031-020-00515-z”
  • “Mukherjee, A., Kundu, P. K., & Das, A. (2021). Transmission Line Faults in Power System and the Different Algorithms for Identification, Classification and Localization: A Brief Review of Methods. Journal of The Institution of Engineers (India): Series B, 102(4), 855–877. doi: https://doi.org/10.1007/s40031-020-00530-0”
  • “Mukherjee, A., Kundu, P. K., & Das, A. (2021). A Differential Signal-Based Fault Classification Scheme Using PCA for Long Transmission Lines. Journal of The Institution of Engineers (India): Series B, 102(3), 403–414. doi: https://doi.org/10.1007/s40031-020-00529-7”
  • “Mukherjee, A., Kundu, P. K., & Das, A. (2021). Classification and Fast Detection of Transmission Line Faults Using Signal Entropy. Journal of The Institution of Engineers (India): Series B, 102(5), 655–670. doi: https://doi.org/10.1007/s40031-020-00526-w”
  • “Mukherjee, A., Kundu, P.K. & Das, A. (2021). A supervised principal component analysis-based approach of fault localization in transmission lines for single line to ground faults. Electrical Engineering, 103 (4), 2113–2126. doi: https://doi.org/10.1007/s00202-021-01221-9”
  • “Mukherjee, A., Chatterjee, K., Kundu, P.K. & Das, A. (2021). Probabilistic Neural Network aided fast classification of transmission line faults using differencing of current signal. Journal of The Institution of Engineers (India): Series B, 102 (5), 1019–1032. doi: https://doi.org/10.1007/s40031-021-00574-w”
  • “Mukherjee, A., Kundu, P.K. & Das, A. (2021). Classification and localization of transmission line faults using curve fitting technique with Principal Component Analysis features. Electrical Engineering, 103 (6), 2929–2944. doi: https://doi.org/10.1007/s00202-021-01285-7”
  • “Mukherjee, A., Kundu, P.K. & Das, A. (2021). Transmission Line Fault Classification under High Noise in Signal: A Direct PCA-Threshold-Based Approach. Journal of The Institution of Engineers (India): Series B, 103(1), 197–211. doi: https://doi.org/10.1007/s40031-021-00601-w”
  • “Mukherjee, A., Chatterjee, K. & Sarkar, T. (2021). Entropy-Aided Assessment of Amla (Emblica officinalis) Quality Using Principal Component Analysis. Biointerface Research in Applied Chemistry, 12(2), 62, 2162-2170. doi: https://doi.org/10.33263/BRIAC122.21622170”
  • “Haldar, P., Mukherjee, A., Bhattacharya, T. K., & Modak, N. (2021). Innovative approach to evaluate the wearing of nano TiO2 doped alumina ceramics in the light of image modelling. Journal of Tribology, Vol. 144(5) / 054501. doi: https://doi.org/10.1115/1.4051904”
  • “Mukherjee, A., Chatterjee, K., Kundu, P.K. & Das, A. (2022). Application of Poincaré analogous time-split signal based statistical correlation for transmission line fault classification. Electrical Engineering, 104 (2), 1057–1075. doi: https://doi.org/10.1007/s00202-021-01369-4”
  • “Ardila, A., Lahiri, D. & Mukherjee, A. (2021). Bilingualism as a Protective Factor in Aphasia. Applied Neuropsychology: Adult. doi: https://doi.org/10.1080/23279095.2021.1960837”
  • “Mukherjee, A., Sarkar, T., Sadhukan, D. & Chatterjee, K., (2022).Indoor cardiovascular health monitoring system under Covid-19 situations. Biointerface Research in Applied Chemistry, 12(3), 3488-3500. doi: https://doi.org/10.33263/BRIAC123.34883500”
  • “Sarkar, T., Mukherjee, A., & Chatterjee, K., (2022). Supervised Learning Aided Multiple Feature Analysis for Freshness Class Detection of Indian Gooseberry (Phyllanthus emblica). Journal of The Institution of Engineers (India): Series A, 103 (1), 247–261. doi: https://doi.org/10.1007/s40030-021-00585-2”
  • “Mukherjee, A., Sarkar, T., & Chatterjee, K., (2022). Freshness Assessment of Indian Gooseberry (Phyllanthus emblica) Using Probabilistic Neural Network. Journal of Biosystems Engineering, 46 (4), 399–416. doi: https://doi.org/10.1007/s42853-021-00116-8”
  • “Sarkar, T., Mukherjee, A., Chatterjee, K., Shariati, M. A., Rebezov, M., Rodionova, S., … & Lorenzo, J. M. (2022). Comparative analysis of statistical and supervised learning models for freshness assessment of oyster mushrooms. Food Analytical Methods, 15(4), 917-939. doi: https://doi.org/10.1007/s12161-021-02161-7”
  • “Sarkar, T., Mukherjee, A., Chatterjee, K., Ermolaev, V., Piotrovsky, D., Vlasova, K., … & Lorenzo, J. M. (2022). Edge detection aided geometrical shape analysis of Indian gooseberry (Phyllanthus emblica) for freshness classification. Food Analytical Methods, 15(6), 1490-1507. doi: https://doi.org/10.1007/s12161-021-02206-x”
  • “Mukherjee, P., Mukherjee, A., & Chatterjee, K. (2022). Artificial Neural Network based Dimension Prediction of Rectangular Microstrip Antenna. Journal of The Institution of Engineers (India): Series B, 103(4), 1033-1039. doi: https://doi.org/10.1007/s40031-021-00710-6”
  • “Sarkar, T., Salauddin, M., Mukherjee, A., Shariati, M. A., Rebezov, M., Tretyak, L., … & Lorenzo, J. M. (2022). Application of bio-inspired optimization algorithms in food processing. Current Research in Food Science. doi: https://doi.org/10.1016/j.crfs.2022.02.006”
  • “Mukherjee, A., Sarkar, T., Chatterjee, K., Lahiri, D., Nag, M., Rebezov, M., … & Lorenzo, J. M. (2022). Development of artificial vision system for quality assessment of oyster mushrooms. Food Analytical Methods, 15(6), 1663-1676. doi: https://doi.org/10.1007/s12161-022-02241-2”
  • “Sarkar, T., Mukherjee, A., & Chatterjee, K. (2022). Correlation-Aided 3D Vector Distance Estimation-Based Quality Assessment of Indian Gooseberry. Journal of The Institution of Engineers (India): Series A, 103(2), 397-407. doi: https://doi.org/10.1007/s40030-022-00616-6”
  • “Sarkar, T., Mukherjee, A., Chatterjee, K., Akhmetova, S. O., Alipbekova, A. S., Temerbayeva, M., … & Lorenzo, J. M. (2022). Quality Assessment of Tindora (Coccinia indica) Using Poincare Plot and Cartesian Quadrant Analysis. Food Analytical Methods, 15(9), 2357-2371. doi: https://doi.org/10.1007/s12161-022-02287-2”
  • “Sarkar, T., Mukherjee, A., Chatterjee, K., & Choudhury, T. (2022). Detection of edibility of amla (emblica officinalis) through PCA based image analysis. Economic Computation & Economic Cybernetics Studies and Research, 56(2), 77-94. doi: https://doi.org/10.24818/18423264/56.2.22.06”
  • “Chakraborty, S., Saha, S., Singha, S. P., Sarkar, S., Chatterjee, K., Sadhukhan, D., Mukherjee, A. & Sarkar, T. (2022). Abnormality Detection in ECG Signal applying Poincare and Entropy-based Approaches. International Journal of Biomedical and Clinical Analysis, 2(1), 1-8.
  • “Mukherjee, A., Kundu, P. K., & Das, A. (2022). Transmission Line Fault Localization With Mesh and Surface Analysis Using PCA Features. Electric Power Components and Systems, 50(3), 166-179. doi: https://doi.org/10.1080/15325008.2022.2135647”
  • “Thakur, A. K., Mukherjee, A., Kundu, P. K., & Das, A. (2023). Classification and Authentication of Induction Motor Faults using Time and Frequency Feature Dependent Probabilistic Neural Network Model. Journal of The Institution of Engineers (India): Series B, 1-18. doi: https://doi.org/10.1007/s40031-023-00872-5”
  • “Sarkar, T., Mukherjee, A., Chatterjee, K., Smaoui, S., Pati, S., & Shariati, M. A. (2023). Progressive quality estimation of oyster mushrooms using neural network–based image analysis. Quality Assurance and Safety of Crops & Foods, 15(SP1), 16-26. doi: 10.15586/qas.v15iSP1.1272”
  • “Thakur, A. K., Mukherjee, A., Kundu, P. K., & Das, A. (2023).Assessment of Diferent Signal Processing Techniques for Classifying Induction Motor Faults Using PCA Features: A Comparative Analysis. Journal of The Institution of Engineers (India): Series B, 1-16. doi: https://doi.org/10.1007/s40031-023-00948-2”

Some selected Publications in conferences:

  • Ray, S., Mukherjee, A., & Das, A., (2012). A Microcontroller-Based Novel Control Scheme for BLDC Motor Drives, Proceedings of Michael Faraday IET (UK) India Summit, Kolkata, 25th November 2012, pp. 79-83
  • Mukherjee, A., Ray, S., & Das, A., (2012). Microcontroller Based Constant Speed Low Cost Energy Efficient BLDC Motor Drive Using Proteus VSM Software, Proceedings of Second Michael Faraday IET (UK) India Summit, Kolkata, 17th November 2013, pp. 5.1-5.6
  • M Das, N.K. Dubey, A. Mukherjee, K. Chatterjee, P. Haldar, “A Modified Cuckoo Search for Flow Shop Scheduling”, Proceedings of National Conference on The Emerging Trends in Automotive Engineering 2020 (NCETAE2020), 3-4th March 2020 Paper ID: MT 10
  • Mukherjee, A., Kundu, P. K., & Das, A. (2020). A Correlation based Classification of power system faults in a long transmission line, 2nd International conference on emerging technologies in data mining and information security, IEMIS 2020, 2-4 July, 2020
  • Mukherjee, A., Kundu, P. K., & Das, A. (2020). A wavelet entropy based power system fault classification for long transmission lines, 2nd International conference on emerging technologies in data mining and information security, IEMIS 2020, 2-4 July, 2020
  • R Dhar, A. Mukherjee, K. Chatterjee, P. Haldar, New Heuristics to Minimise Makespan of Permutation Flowshop Scheduling Problem with Uniformly Distributed Processing Times, International Conference on Thermal Engineering and Management Advances, ICTEMA 2020, 19-20 Dec, 2020, Jalpaiguri
  • Dhar, R., Mukherjee, A., Chatterjee, K., & Haldar, P. (2020, June). New Heuristics to Minimize Makespan of Permutation Flowshop Scheduling Problem with Uniformly Distributed Processing Times. In International Conference on Thermal Engineering and Management Advances (pp. 395-404). Springer, Singapore. doi: 10.1007/978-981-16-2347-9_34″
  • A. Mukherjee, K. Chatterjee, P. Haldar, Intelligent Control of Air Conditioner for Reduced Energy Consumption using Pressure Sensor, International Conference on Thermal Engineering and Management Advances, ICTEMA 2020, 19-20 Dec, 2020, Jalpaiguri
  • T. Bose, K. Chatterjee, A. Mukherjee, P. Haldar, Random Iterated Greedy Local Search Algorithm for N×M Flow-shop Scheduling, International Conference on Thermal Engineering and Management Advances, ICTEMA 2020, 19-20 Dec, 2020, Jalpaiguri
  • S B R Chowdhury, A Mukherjee and P K Gayen, Maximum power point tracking of photovoltaic system by Perturb & Observe and Incremental Conductance methods under normal and partial shading conditions, International Conference on Innovations in Energy Management and Renewable Resources (IEMRE 2021), 5th-7th February, 2021, IEEE, Kolkata

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