Dr. Amarinder Kaur B.Tech (Electrical Engg) + MBA + M.Tech (Power System) PHD E-mail : amarinder80@gmail.com Mobile: +91-9990870253 EDUCATION PROFILE ✓ ✓ ✓ ✓
B.Tech in Electrical Engineering from Punjab Technical University Master in Business Administration (MBA) in Human Resource Management from IGNOU M-Tech (Power System) from YMCA University of Science & Technology,Faridabad with FIRST division. PHD in “Artificial Intelligence Techniques for Fault Detection In Transformers” from Punjab Technical University, Jallandhar. EXECUTIVE JOB SUMMARY Total Experience: 18½ Years
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Supervisory Control & accountable for Quality Control/checks in M/s Lal King Generators & Motors Pvt Ltd, Ludhiana for 1 ½ Years. Worked as a Lecturer in N.C College of Engineering, ISRANA, Panipat for 2 years. Presently working as Astt. Profossor (EEE) in Manav Rachna International University, Faridabad from August 2007 to till date (approx 15 Years). Project work has been done on “Energy Audit for Power Saving in Indian Acrylics Ltd, Sangroor” which is used to identify the Cost of Energy & where & How it is used & also provides a base from which results can be measured.
PROMINENT PUBLICATION,PROJECT AND MEMERSHIP i. Neural based algorithm for fault detection in a transformer: Far East Journal of Electronics and Communications, 2016, Special Volume 3, Part II, pp. 591-605, ISSN:0973-7006, DOI: http://dx.doi.org/10.17654/ECSV3PII16591 (UGC approved Journal no: 29236, Scopus listed) ii. A Novel ANFIS based Algorithm for Fault Detection in Power Transformers: International Journal of Computer
Applications, 2018,
vol.
179,
No
12,
pp.
34-41,ISBN :973-93-80897-97-
1,DOI:http://www.ijcaonline.org/archives/volume179/number12/28854-2018916142 (UGC approved Journal No:64190 till May 2018) iii. Fault detection in power transformers using random neural networks: International Journal of Electrical and Computer Engineering (IJECE), 2019, Volume. 9, No. 1, pp. 78-84, ISSN: 2088-8708, DOI: http://doi.org/10.11591/ijece.v9i1.pp78-84 (UGC approved Journal No: 2928, Scopus Listed) iv. Comparative Analysis of Fault Detection in Transformers using different Fuzzy Membership Functions: IOSR Journal of Engineering (IOSRJEN), 2019, Vol. 09, No. 2, pp. 32-37, ISSN (ONLINE):2250-3021,ISSN
(OFFLINE): 2278-8719,
3/F0902033237.pdf (UGC approved Journal No: 48995).
http://iosrjen.org/Papers/vol9_issue2/Ser-
v. Neutrosophic classifier for Fault Detection in Transformer:International Conference on quality, productivity, reliability, optimization and modeling, Proceeding:978-1-5090-6140/2017, 5th-7th Jan. 2017 at ManavRachna International University, Faridabad (International Conference) vi. “POWER TRANSFORMER CONDITION MONITORING AND REMANENT LIFE ASSESSMENT “presented in INTERNATIONAL CONFERENCE” on various Facets of Energy Technologies and its Management for Sustainable Development (ET & MSD-2013) held at JNU New Delhi and published in "International Journal of Applied Engineering Research" ISSN NO ISSN 0973-4562, Volume 8, Number 7 (2013). vii. “FUZZY LOGIC TOOL AIDED-
DECISION
FOR POWER TRANSFORMER FAULT DIAGNOSIS”
presented at “National Conference held at Echelon Institute of Technology on 24 April 2013. viii. Project work has been done on “Energy Audit for Power Saving in Indian Acrylics Ltd,
Sangroor” which is used to identify the Cost of Energy & where & How it is used & also provides a base from which results can be measured