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North Melbourne 
$30/h
1st lesson free!
Profile and Qualifications Verified
Response Time 1h
Lesson formats available..
  • One-to-one
Lessons can be held..
Subjects taught
  • Maths
  • Algebra
  • Physics
  • Trigonometry
  • Arithmetic
  • Geometry
Levels
  • All Levels

University of Melbourne Engineering student giving lessons to high school and uni students.

Methodology

I am a Master of Engineering (Electrical) student at the University of Melbourne. I have 8 years of teaching experience in teaching Maths and Physics. I was a teaching assistant during my tenure of 1.5 years in IIT Kanpur, India. I obtained my bachelor’s in Electrical and Electronics Engineering in India from
Maharaja Agrasen Institute of Technology, Guru Gobind Singh Indraprastha
University, in 2015.

Background

I am a Master of Engineering (Electrical) student at the University of Melbourne.I have 8 years of teaching experience in teaching Maths and Physics. I was a teaching assistant during my tenure of 1.5 years in IIT Kanpur.

I have to passion to expand my knowledge by sharing with others.

Rates

Rate for online lessons : $25/h
Rate for 5 hours of lessons : $140
Rate for 10 hours of lessons : $280
Lesson formats available..
One-to-one
Lessons can be held..
at their place
at your place
Subjects taught
  • Maths
  • Algebra
  • Physics
  • Trigonometry
  • Arithmetic
  • Geometry
Levels
  • All Levels

Shiv's CV

Research Assistant, Electrical Engineering Department,
Indian Institute of Technology Delhi, New Delhi, India
• Research work in a project “UK India Clean Energy Research Institute (UKICERI).”• Non-Linear Model predictive droop control for low voltage DC microgrid.

Junior Research Fellow, Electrical Engineering Department, 06/2016–11/2017 Indian Institute of Technology Kanpur, Kanpur, India
• Research work in a project “Cooperative Control for DC Microgrid.” • Hierarchical distributed Model predictive droop control for low voltage DC microgrid. • Optimal droop control for low voltage DC microgrid to attain control objectives of proportional load sharing and voltage regulation. • Dynamic optimization and soft computing techniques to optimize the operation for DC microgrid. • Implemented consensus algorithms for multi-agent networks of microgrids. • Designing adaptive and robust controller for low voltage DC microgrid.

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