Professor Mohammad Joardder
Faculty of Engineering,
School of Mech., Medical & Process Engineering
Biography
Dr. Mohammad Joardder is currently working as a Postdoctorla Research Fellow in School of Mechanical, Medical & Process Engineering, Queensland University of Technology (QUT). He received his PhD degree from QUT in 2016. His research interests include bio-transport, innovative food drying, modelling of novel food processing, food microstructure, as well as Renewable energy. Moreover, his research focuses are on applying state-of-the-art computational methods to Multiphysics-multiphysics-multiscale transport phenomena, and deformation of porous biomaterials. He has authored four books with the Springer-Nature publication and CRC Press, six book chapters, and more than 47 peer-reviewed journal publications. Most of his journal articles are in highly ranked journals and have been well cited. He has a record of publishing in top ranked Journals as 41.9% of his papers are published in top the 10% of Journals in the field (as per Scopus records). His global leadership in the field of drying, microwave heating, bound water is further demonstrated by his Field Weighted Citation Impact (2.2) and citations per publication, which are significantly higher than world averages. He is a regular reviewer of several high- ranked journals of prominent publishers including Nature, Springer, Elsevier, Willey, Taylor and Francis, MDPI.
Personal details
Positions
- Visiting Fellow
Faculty of Engineering,
School of Mech., Medical & Process Engineering
Qualifications
- PhD (Queensland University of Technology)
- BSc (Other)
Teaching
EGB423 Heating, Ventilation and Air Conditioning
Publications
Research outputs by year
Filter publications:
A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/m.joardder
Supervision
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Current supervisions
- A Multiscale Physics-informed Neural Network Framework for Drying of Plant-based Food Materials
PhD, Associate Supervisor
Other supervisors: Professor Azharul Karim, Distinguished Professor YuanTong Gu - A physics-based model to predict the uncontrolled drying of heterogeneous forest fuel during bushfire
PhD, Associate Supervisor
Other supervisors: Professor Azharul Karim, Dr Zachary Welsh - Investigation and Clustering of Plant-Based Food Materials Considering Their Evolving Cellular-Level Properties During Drying
PhD, Associate Supervisor
Other supervisors: Dr Zachary Welsh, Professor Azharul Karim - Predicting wildfire dynamics using physics informed machine learning approach
PhD, Associate Supervisor
Other supervisors: Professor Azharul Karim
Completed supervisions (Doctorate)
The supervisions listed above are only a selection.