Dr Dipali R. Shende
Dr Dipali R. Shende

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Email

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Profiles

Dr Dipali R. Shende

On-Campus Lecturer

Electrical/Industrial Automation

Perth Campus

dipali.shende@eit.edu.au

BEng, MEng, PhD, Industrial PostDoc

Google Scholar

Biography of Dr Dipali R. Shende

Dr. Dipali R. Shende is an Instrumentation Engineer with 16 years of Teaching, Research and Management experience. Her research interest includes Industrial Automation, Process modeling and Simulation, Autonomous underwater vehicles, Process Instrumentation and control. She holds two international patents from the Australian Government and German Government. She has received various funding from the government for research. She developed Process Automation and process labs through industry collaboration in her previous institute. She worked as a member of various university and college development committees. She works as a project guide for Bachelor and Master of Engineering Students.

Fields of Research
  • Process modelling and Simulation
  • Process Instrumentation and control
  • Industry 4.0
  • Autonomous underwater vehicles
Research Interest
  • Smart Sensors
  • Industrial Automation
  • Wireless sensor networks

Administrative Responsibilities
  • Lecturer
  • Regular reviewer of ISA Journal
  • Faculty of Electrical and Industrial Automation
  • Reviewer of books
  • Professional Membership
    • The Indian Society for Technical Education (ISTE)
    • Institution of Electronics and Telecommunication Engineers
    • Instrument Society of Inda (ISOI)

Currently Teaching courses/programs
  • MIA510: Industrial communication System
  • ME700: Master Thesis Supervision
Teaching Experience
  • 16 years (BEng, MEng)

 

Publications  More than 30 National and International Publications

Publications and News

EIT publication

Implementation and Performance Evaluation of a Model Predictive Controller for a Semi-Autogenous Grinding Mill


20 April, 2024
This paper investigates the implementation of a model-based predictive control (MPC) strategy to improve the performance of a semi-autogenous grinding (SAG) mill in a uranium mineral processing plant. The SAG mill, crucial in crushing and grinding uranium ore to the desired size, is currently managed using conventional proportional-integral-derivative (PID) controllers....Read More
Engineering Institute of Technology