Current Team

Ms. G Anuradha

Topic:
Guide: Prof. A Seshadri Sekhar
Co-guide: Dr. Piyush Shakya
PhD scholar: Ongoing since July 2019
Brief about topic:
Academic Background:
B.Tech – Department of Manufacturing Engineering in CEG, Anna University, Chennai.
PhD – Pursuing in Department of Mechanical Engineering, Indian Institute of Technology, Madras.
Email: gollapudianooradha@gmail.com

Mr. Venkataraman G

Topic: Application of lean management principles to policing
Guide: Prof. Venkatesh Balasubramanian
Co-guide: Dr. Piyush Shakya
PhD scholar (Part-Time): Ongoing since January 2019
Brief about topic: There is a vast scope for application of the latest advancements in technology, behavioural science and management thoughts to day-to-day policing to improve the efficiency of the police and for achieving better quality of service to the citizens.
Academic Background:
Bachelor of Arts (Economics),
Master of Arts (Public Administration)
Post Graduate Programme in Public Policy and Management (Indian Institute of Management, Bangalore)
Currently working: Additional Director General of Police, Cyber Crime Wing, Tamil Nadu.
Email: ed18d302@smail.iitm.ac.in

Mr. Venkatesu U

Topic: Fault diagnosis and prognosis of automotive clutches
PhD scholar (External): Ongoing since July 2018
Brief about topic: A clutch is a mechanical device which is used to connect or disconnect two rotating shafts on the will of the operator. There may be misalignment between engine and gear box, wear and tear, broken facing material and fatigue. These failures are to be diagnosed using condition monitoring techniques.
Academic Background:
B.Tech – Mechanical Engineering, KSRM college of engineering affiliated to SV University, Tirupathi.
M.Tech – Indian Institute of Technology Guwahati.
Currently working: Assistant Professor, Department of Mechanical Engineering, IIIT-RK Valley (Idupulapaya) Institute, Andhra Pradesh.
Email: me18d023@iitm.ac.in

Mr. Shahis Hashim

Topic: Prognostics of Machine Elements
PhD scholar: Ongoing since July 2018
Brief about topic: Prognostics, in general terms, is 'an advance indication of a future event'. My project's predominant objective is to develop various models to predict the remaining useful life (RUL) of machine elements. Various data analytics tools are utilized for the same.
Academic Background:
B.Tech – Mechanical Engineering, University of Kerala.
M.Tech – National Institute of Technology Agartala.
Email: iamshahis@hotmail.com

Mr. Sitesh Kumar Mishra

Topic: Severity quantification of defects in rolling element bearing
PhD scholar (MS to PhD conversion): Ongoing since December 2016
Brief about topic: Bearing is classified as a critical component of rotatory machines. Due to wide variety of applications health monitoring of the bearing is necessary. From health monitoring point of view development of a mathematical model is vital. We are developing a localized defect model of rolling element bearing for condition health monitoring. The proposed model addresses the fault diagnosis of the bearings along with the defect severity quantification.
Academic Background:
B.Tech – University of Petroleum and Energy Studies, Dehradun.
PhD (MS to PhD conversion) – Pursuing at Department of Mechanical Engineering, Indian Institute of Technology Madras, Chennai.
Email: me16d205@smail.iitm.ac.in

Mr. Sandaram Buchaiah

Topic: Remaining useful life prediction of rolling element bearing
PhD scholar: Ongoing since December 2016
Brief about topic: I am working on vibration analysis, condition monitoring and prognostics of rolling element bearing. My research problem is vibration modelling of bearing with continuously propagating defects, signal processing of bearing vibration data for extracting the health indicating parameters and prognostics model building for remaining useful life prediction of rolling element bearing.
Academic Background:
B.Tech – Mechanical Engineering, SSJ Engineering College, Hyderabad.
M.Tech – Vidya Jyothi Institute of Technology, Hyderabad.
Email: s.buchaiah@gmail.com