Norliza Mohd Noor is currently attached as Professor in UTM Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia (UTM), Kuala Lumpur Campus. She received her B. Sc. In Electrical Engineering from Texas Tech University in Lubbock, Texas and her Master of Electrical Engineering (by research) and PhD (Electrical Engineering) from UTM. Her research area is in image processing and image analysis. Her current work concentrates on medical image analysis for lung diseases for medical and industry applications. Her current work concentrates on medical image analysis using machine and deep learning techniques for lung diseases, calcification detection using IVUS images and handwriting recognition. She has published many papers in journals and in indexed conference proceedings, and has published one academic book and two book chapters. Currently she is the Head of the Electrophysiology Research Group, and Malaysia Quality Assurance auditor for Electrical Engineering B.Sc and M.Sc program. She is a senior member of IEEE (since 2008) where she has been a member for more than 32 years starting as student member while studying in USA. In 1998-2001, she held several key positions in IEEE Malaysia Section. She is the founding chapter chair for IEEE Signal Processing Society Malaysia Chapter in 2002 and she held the position till 2006. She was elected as the IEEE Malaysia Section Chair for two years 2013-2014. She is an active IEEE volunteer and held key positions in IEEE Signal Processing Society Malaysia Chapter and IEEE Engineering Medicine and Biology Society Malaysia Chapter till now. She is an active member of IEEE EMBS, SPSoc, IEEE Women in Engineering WIE (affinity group) and IEEE My-SIGHT for Rural Technology group Malaysia Chapter. In international level, she is currently one of the R10 Director-Elect Candidate for 2021-2022. Other IEEE MGA committee position she holds now are IEEE EAB Certificates Program Committee 2019-2020, IEEE Senior Member Panel Reviewer 2019-2020, IEEE HAC Event Evaluation Panel 2020, and IEEE SIGHT Group Petition Evaluation Panel 2020. Previously, she was a committee member in IEEE MBPAC 2017- 2018, IEEE MGA GUOS Technical Society Representative 2015-2016, and IEEE R10 Individual Benefits & Services Coordinator 2015-2016.
Classification for Covid-19 infected lung using chest radiography images
The year 2020 has seen the world being traumatised with Covid-19 pandemic. The Covid-19 virus originated from Wuhan, China currently spread to the rest of the world including Malaysia. This talk will discuss the progress of the work currently done in classification of lung infected with Covid- 19 on chest radiography images.