Faculty Profile

Mr. Sarvesh Kumar yadav
Asstt. Professor
Institute of Engineering and Technology
Department of Mechanical Engineering

Contact Details:

Email: sarvesh.yadav@gla.ac.in

Contact Number: 9540185401

Academic details






M.Tech Industrial Tribology and Maintenance Engineering

IIT Delhi



B.Tech Mechanical Engineering

G.N.I.T Greater Noida



U.P Board, Math, Science

St. Andrews Inter college



U.P Board, Science

Gyanodaya Inter college



Academic achievements

  • Scored 97.85 percentile in GATE 2011
  • Scored 98.24 percentile in GATE 2012
  • Scored 98.00 percentile in GATE 2013



  • 2 years of teaching assistantship in IIT DELHI
  • Conduct experiment in vibration research Lab, Engineering drawing and Solid work.
  • 1 year of teaching experience at GLA University. 


Subjects of Interest:

Thermodynamics (Including Basic Thermodynamics, RAC, PPE, ICE), Theory of Machines, Industrial Engineering, Fluid Mechanics, Fluid Machinery, Heat & Mass Transfer.


Workshop: Attended workshop for faculty development program for 3 days at GLA University, Mathura from 22nd july to 24th july.





Industrial training

Project Title: Summer Training at NTPC DADRI, U.P

Synopsis: Technical study of Turbines, Boilers and Condensers. Take the readings of various technical parameters such as pressure, temperature of boilers for various conditions. Study of coal handling process and water treatment process.


IIT Delhi thesis

Project Title: Diagnosis of ball bearing used in machine tool application.


Synopsis: Find out relative performance of different Sensors like Pressure microphone, P-U probe, Acoustic emission,and Accelerometer and proximity probe used for diagnosis of ball bearing and also find which parameter (acceleration, displacement, pressure, acoustic emission) is best for defect detection.


Supervisor: Prof. Ashish K. Darpe


Technologies: MATLAB ,Lab View


B Tech Project

Synopsis:Machining performance & optimizing machining parameters of en 31 steelusing electric discharge machining based on Taguchi method (July, 2010 - May, 2011): The present study undertaken as Machining performance & optimizing machining parameters of EN 31 steel using Electric Discharge machining based on Taguchi method.


Technical skills

  • Professionally proficient with Microsoft Office, MATLAB,Labview, LMS Virtual,  Solid work,RelaisoftBlocksim (reliability block diagrams and fault tree analysis).


Hobbies and interests

Basketball, travelling, science documentaries.