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Dr. Joydip Mondal, Temporal Data Patterns, Best Researcher Award 

Doctorate at Commonwealth Scientific and Industrial Research Organisation, Australia 

Professional Profile:

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Dr. Joydip Mondal is a dedicated researcher specializing in investigating multiphase flow systems with a focus on applications in the minerals, energy, and biomedical sectors. With a background in experimental and computational techniques, he has contributed significantly to understanding phenomena such as bubble dynamics and acoustic cavitation. Dr. Mondal also possesses managerial skills demonstrated through his coordination of academic seminars, workshops, and cultural events.


  • Joint-PhD (Doctor of Philosophy) in Chemistry from The University of Melbourne, Australia, and Cryogenic Engineering Centre, Indian Institute of Technology Kharagpur, India.
  • Master of Technology in Cryogenic Engineering from Indian Institute of Technology Kharagpur, India.
  • Bachelor of Technology in Mechanical Engineering from Kalyani Government Engineering College, India.

Professional Experience:

  • CERC Postdoctoral Fellow at the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia, focusing on the development and study of ultrasonic cleaning surfaces for mineral processing equipment.
  • Previous roles include Tutor and Lab Demonstrator at The University of Melbourne and Research Assistant at the Zero Emission Energy Laboratory, Melbourne Energy Institute.

Research Interest :

Dr. Mondal’s research interests lie in investigating the interactions and effects of oscillating bubbles in multiphase flow systems. He utilizes advanced experimental techniques such as sonochemiluminescence and particle-image-velocimetry, along with computational tools including MATLAB, OpenFOAM, and Ansys-CFX. His work contributes to areas such as mineral processing, electrolysis, and biomedical applications, with a focus on optimizing processes through flow visualization experiments and computational modeling.

Publication Top Noted:

Joydip Mondal| Temporal Data Patterns | Best Researcher Award

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