Chiranjib Mukherjee

Designation : Assistant Professor, In Charge

Qualifications : B.Tech, M. Tech

Interest/Research : Load Flow Analysis in Power System, Electrical Machine Design

Email Id : chiranjib.mukherjee@nshm.com

Academic Experience : 7 years

Industry Experience : 1 year

Teaching Interests
• Basic Electrical Engineering
• Electrical Machines I & II
• Power System Engineering
• Machine Design

Research Interests
• Electrical Machine Design
• Power System

Research & Publications
Journal

Induction Motor Fault Diagnosis by Motor Current Signature Analysis and Neural Network Techniques in the Journal of Advanced Computing and Communication Technologies, Volume No. 3 Issue No.1, ISSN: 2347 – 2804, pp. 12 – 18 February 2015

Chiranjib Mukherjee, Poulomi Chatterjee, Subir Bhattacharyya on Application Of Artificial Neural Network For Speed Control Of Dc Shunt Motor ‘IJCRT Chiranjib Mukherjee, ISSN: 2320-2882,VOL 5.ISSUE 4.NOV 2017

Chiranjib Mukherjee, Poulomi Chatterjee,Sayantan Dutta,‘Permanent Magnet motor rotor analysis and performance analysis’ IJSRD VOL,6 ISSUE 06,2018, ISSN : 2321-0613

Conference Paper:

S. C. Mukherjee, Adhvaryyu, and D. Sen, “Security Constrained Optimal Power Flow with Optimally Allocated UPFC Based on Technical and Economic Criteria,” IEEE 2017 International Conference on Computer, Electrical & Communication Engineering (ICCECE), Kolkata, 2017, pp. 1-5. DOI: 10.1109/ICCECE.2017.8526229