Prof. Sujit kumar (Faculty)

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Prof. Sujit kumar

Assistant professor,
Electrical Engineering

9557613145   |   [email protected]



Qualifications
P.hd Pursuing (Thesis Submitted), NIT Nagaland.
Master of Technology in Power Electronics and Drives 2018, NIT Uttarakhand.
Subject Expertise
Power electronics and Drives
Power System
Control System
Electrical Machine
Power Quality and Facts
Signals and Systems
Area Of Research
Machinery Faults classification by using Machine Learning
Condition Monitoring of Machine by using Machine Learning/Deep Learning
List Of Publications
Kumar, Sujit, and D. Ganga. "Combinational Framework for Classification of Bearing Faults in Rotating Machines." Journal of Computing and Information Science in Engineering 23, no. 6 (2023): 061002. (Journal of ASME) (Transaction Paper)
Conference Attended (National/International)
Chandran, Vineet P., Sujit Kumar, and Priya Singh Bhakar. "Comparative Study for Steady-State Operation of IAG in Stand-Alone mode using MATLAB and Typhoon HIL." In 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), pp. 1-5. IEEE, 2018.
Kumar, Sujit. "Motor Bearing Faults Detection and Classification based on Convolutional Neural Network and Support Vector Machine: A Comparative Study." In 2021 2nd Global Conference for Advancement in Technology (GCAT), pp. 1-6. IEEE, 2021.
Kumar, Sujit. "Intelligent Bearing Fault Diagnosis and Classification based on Support Vector Machine." In 2021 2nd Global Conference for Advancement in Technology (GCAT), pp. 1-6. IEEE, 2021.
Kumar, Sujit. "Multi Classification of Rolling Bearing Conditions based on Random Forest Classifier Model." In 2022 International Conference on Futuristic Technologies (INCOFT), pp. 1-5. IEEE, 2022.
Kumar, Sujit. "Intelligent Fault Classification of Motor Bearing by using Support Vector Machine." In 2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT), pp. 1-5. IEEE, 2022.
Kumar, Sujit, and D. Ganga. "Classification of Rolling Bearing Fault Based on Long Short Term Memory Neural Network." In 2023 2nd International Conference for Innovation in Technology (INOCON), pp. 1-5. IEEE, 2023.
Awards and Honors
GATE Qualified 2016
GATE Qualified 2022
GATE Qualified 2023
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