Md Moinul Hossain received his BSc degree in Computer Science and Engineering from Bangladesh and MSc. degree in Wireless Communications and Systems Engineering from the University of Greenwich in 2005 and 2009, respectively, and his PhD degree in Electronic Engineering in the field of Instrumentation and Measurement from the University of Kent, UK, in 2014. In October 2014 he joined the University of Strathclyde as a Research Associate in the Department of Chemical & Process Engineering. He worked as a Research and Development Engineer in the GreenTech Automation Ltd from 2016 to 2017 and during that period he was a Visiting Research Fellow in the ICES Research Group at the University of the Kent. In May 2017 he joined as a Research Associate in the Department of Electronic And Electrical Engineering at the University of Strathclyde. He was an invited Lecturer of the School of Energy and Environment, Southeast University, China in 2015 and 2017, respectively. Also, he was awarded the International Teachers Exchange Scheme Funds in 2015 and 2017, respectively from Southeast University China.
Md Moinul Hossain is a Member of the Institute of Electrical and Electronic Engineers (IEEE) and since January 2018 he is an Editorial Member of IEEE Access Journal.
His main areas of expertise are in Combustion Diagnostics, Sensors, Instrumentation, Measurement, Condition Monitoring, Digital Image Processing, Deep Learning and Solid Oxide Fuel Cells.
University of Kent
His research interests include mainly 2D/3D Combustion Diagnostics, Tomographic Techniques, Optical Instrumentation Systems Design and Fabrication, 3D Visualisation, Simulation and Modelling, Digital Signal/Image Processing and Direct Solid-oxide Fuel Cells.
Automatic Annotation of Subsea Survey Video Using Deep Learning
Advanced Burner Flame Monitoring through Digital Imaging
Application of Optical Measurement Techniques to Improve Gas Furnace Efficiency
Flame Solid Oxide Fuel Cells, Simple Devices to Extract Electricity Directly from Natural Gas and Liquid Petroleum Gas Flames
In-depth Studies of Oxy-coal Combustion Processes through Numerical Modelling, Optical Tomographic (OT) Measurements, and 3D Flame Imaging Techniques
Three-Dimensional Visualization and Quantitative Characterisation of Oxyfuel Flames using Optical Tomography (OT) and Digital Imaging Processing Techniques