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£14/h
1st lesson free!
Tutor profile verified
Response Time 24h
Lessons offered by Shashidhar
  • Individual
  • In group
The lessons will be held
  • at his home
  • at your home
Taught subjects
  • Engineering
  • Mechanical Engineering
  • Technology
  • Industrial design
  • Automation
  • Metallurgy
Levels
  • All Levels

PhD researcher offering Mechanical Engineering lessons in Oxford up to university level.

Methodology

My aim is to apply effective teaching techniques such as active learning to support students to learn effectively.
My methodology include to encourage student-tutor contact, encourage active learning,
give prompt feedback, emphasise time on task. respect diverse talents and ways of learning. I would spend time around the topic where the student needs more attention.

I can help students up to university level with their mechanical engineering modules.

Background

I am a PhD researcher, working on the use of Artificial Neural Network (ANN) to solve the problems of random loading fatigue in frequency domain. I am in the stress analysis field from past 3 years and I have been solving many university problems in it.

Rates

Rate for a 1-hour lesson. : £14/h
Lessons offered by Shashidhar
Individual
In group
The lessons will be held
at his home
at your home
Taught subjects
  • Engineering
  • Mechanical Engineering
  • Technology
  • Industrial design
  • Automation
  • Metallurgy
Levels
  • All Levels

Shashidhar's CV

SHASHIDHAR RAMACHANDRA
Flat L2C Crescent hall, Crescent road, OX4 2NS
Mob- +44 (concealed information)2 +91 (concealed information)
(concealed information) ; (concealed information)
(concealed information)

SUMMARY

A research enthusiastic looking for a career in the field of deep learning and artificial intelligence. Primarily being a mechanical engineer, I have been researching on the use of artificial intelligence to predict the fatigue life of mechanical components. By undertaking an extensive literature review on deep learning and neural networks, I realised the potential of the field and used the neural networks in metal fatigue life prediction in my PhD research at Oxford Brookes University, UK. I would like to go deep into the subject and use artificial intelligence for various applications.

KEY SKILLS

Mathematics
• Gained a good understanding of Advance Matrix Algebra, MATLAB, Mathcad, application of Finite Differences and Fourier Transforms, probability and statistics. Applied this knowledge to solve varied engineering problems.
Analysis
• Developed a good understanding of design and analysis through heat exchanger and universal joint as part of design group projects during MSc. Carried out FEA (Finite Element Analysis) in SolidWorks and Ansys to analyse the stresses that act on the suspension components such as wishbones, pull rods and uprights under heavy braking, cornering and full bump.
• Knowledge of TRIZ analysis for development of a product and experienced in life cycle analysis.
• Learnt and developed analytical skills in Stress Analysis. Defined the characterisation of Stress Profiles, Yielding and Buckling, under different load conditions.
• Quick learner and have an unique skill of learning the package if it solves my problem quick and efficiently than the one that I am using currently so I don’t rely upon only one particular approach to solve my problem.
Communication
• PowerPoint presentations at university seminars and conferences have improved my oral and written communication skills, helping me to project my voice and speak clearly when addressing large audiences.
• Working as a waiter and developing a rapport with customers has significantly improved my inter-personal skills. I was voted ‘Employee of the month’ in August 2015 for excellent customer service.
Organisation
• Managed my time at university to meet multiple deadlines whilst working as a part-time waiter during MSc and also maintaining many sports hobbies.
• Frequently make lists, use an electronic diary and prioritise tasks. This helps to keep track of ordered procedures, which can be applied to laboratory work that important jobs were prioritised and completed to deadlines.
Teamwork
• A range of university projects such as paired lab work, group projects and group poster presentations have helped me develop team work skills, obtaining excellent marks in all projects.
Software skills
• MATLAB, R (Beginner), Python (Beginner), AutoCAD, LS-Dyna, Solid works, Solid Edge, Catia V5, Matlab, Ansys, Solid edge, seeNCmill/turn, CAPSturn/mill. Microsoft office.
PROFESSIONAL EXPERIENCE

• Oxford Brookes University, Oxford, UK.
Role: PhD researcher
Period: Feb 2016- now

Role: Tutor
Handling a position as a tutor for stress analysis module of BSc and BEng.
Period: Feb 2018 till now

Role: Laboratory Demonstrator
Fatigue lab demonstrator for strength of components module for MSc students in Racing engine design and advanced mechanical engineering.
Period: Sep2017 – Dec 2017

• Teknic Electromeconics pvt Ltd. Electronics City Phase-1, Bangalore, India
Role: Tool and Die maker.
Working in this industry made me to acquire in-depth knowledge and hands-on experience on design and manufacturing of plastic injection moulds, fixtures and moulding machines. As tool maker I have worked on all the conventional machine tools and manufactured more than 10 injection moulds and fixtures for the assembly line of the company. My problem solving skills were enhanced during my work in the company. Exposure to solid works software for tool design.
Period: Jun 2010- May 2011
• I have worked as a waiter at McDonald’s restaurant in Oxfrod, UK between November 2014 to November 2015.



EDUCATION

 Doctoral Programme
University: Oxford Brookes University, Oxford, UK
Topic: Artificial neural network for frequency domain random loading fatigue.
Department: School of Engineering, Computing and Mathematics.

 Master’s degree (Level 7)
University: Oxford Brookes University, Oxford, UK
Course: MSc in Advanced Mechanical Engineering
Core Subjects: Advanced Engineering Design, Strength of components, sustainable engineering technology, CAD/CAM ( CATIA V5).
Project: Frequency domain fatigue analysis including mean stress effect.
Result: Merit.

 Bachelor’s degree (Level 6)
University: Vishveshvaraya Technological University, Belgaum, India.
College: CMR Institute Of Technology, Bengaluru.
Course: BE in Mechanical Engineering.
Period: 2011-2014.
Core Subjects: Manufacturing Technology, Foundry Technology, Machine Design, Operations research and management, computer integrated machine drawing, Computer Integrated manufacturing, Heat and Mass transfer, Thermo dynamics.
Project: Axially loaded thin metal cylinders as impact energy absorbers.
Result: First Class with Distinction(72.08%)

 Diploma (Level 5)
Institution: Government Tool Room and Training Centre(GTTC)
Course: Diploma in Tool and Die making.
Period: 2007-2011 with one year industrial work.
Core Subjects: Engineering drawing, Assembly drawing, Press tool theory, mould theory, press tool design, mould design, jigs and fixtures.
Project: Manufacturing of a two cavity two plate injection mould for a component named Insulation Block(MCA-1), carried out at Teknic Electromeconics pvt Ltd.
Result: First class (72.58%)

 Secondary School Leaving Certificate (SSLC, 10th) in 2006-07 from SVVN High school with Distinction ( 87.35%)





ACHIEVEMENTS

• Awarded the Student of the year 2006-07 during 10th grade.
• Secured 7th place in state in National level science examination during 5th grade.
• Secured 9th place in state in National level science talent examination during 7th grade.
• Secured second highest percentage in 1st year diploma in tool and die making.
• Awarded the 150th Brookes Scholarship to undertake PhD at Oxford Brookes University.

INTERESTS

Many of my interests revolve around sport including swimming, Cricket and badminton. I would like to read historic books as well. I like to travel and explore new places and their culture.

PAPERS PUBLISHED

Durodola, J.F, Li N, Ramachandra S and Thite A ‘A pattern recognition artificial neural
network method for random fatigue loading life prediction’ International Journal of Fatigue 99 (2017) 55–67.

Durodola J.F, Ramachandra S, Gerguri S and Fellows N A ‘Artificial Neural Network for Random Loading Fatigue Analysis Including the Effect of Mean Stress’ International Journal of Fatigue( Accepted)

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