E. Rajasekhar Nicodemus
Tata Consultancy Services, General Motors Technical Centre India, TU Darmstadt, Indian Institute of Technology Roorkee, Jawaharlal Nehru Technological University, Hyderabad
0000-0003-3866-0496
About
Mr E. Rajasekhar Nicodemus is a post graduate (Master of Technology) in mechanical engineering from Indian Institute of Technology (IIT), Roorkee. Mr Nicodemus did his master dissertation at Technische Universität Darmstadt, Germany through DAAD scholarship. Mr. Nicodemus published 8 papers in various international esteemed journals and conferences. He is also a reviewer for many esteemed journals and reviewed over 45 research articles. Mr. Nicodemus worked in the automotive sector for over 9 years as Lead Engineer CAE methods in General motors technical center India. During his stint he worked on several challenging multi-physics problems in engine, transmission and turbo-charger. Mr. Nicodemus has two US patents (one issued one published). Mr. Nicodemus research interests include algorithm development, CAE, tribology, machine leaning and data analytics.
Employment
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Tata Consultancy Services Lead Engineer2021 - Present
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General Motors Technical Centre India Lead Engineer2010 - 2019
Education
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TU Darmstadt Dissertation done through DAAD2009 - 2020
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Indian Institute of Technology Roorkee Machine Design2008 - 2018
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Jawaharlal Nehru Technological University, Hyderabad Bachelor of Engineering2004 - 2008
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Taylor Series Based Domain Collocation Meshless Method for Problems with Multiple Boundary Conditions including Point Boundary Conditions Save
- A methodology to assess and improve the physics consistency of an artificial neural network regression model for engineering applications Save
- A Method to Estimate Regression Model Confidence Interval and Risk of Artificial Neural Network Model Save
- Compound neural network architecture for stress distribution prediction Save
- Turbocharger thrust bearing Save
- Physics Based Engine Friction Prediction Model Save
- Surface roughness evolution in FEA simulations of bulk metal forming process Save
- Performance Characteristics of Micropolar Lubricated Membrane-Compensated Worn Hybrid Journal Bearings Save
- A Study of Misaligned Micropolar Lubricated Membrane Compensated Hybrid Journal Bearing System Save
- Orifice compensated multirecess hydrostatic/hybrid journal bearing system of various geometric shapes of recess operating with micropolar lubricant Save