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Norliza Mohd Noor
Professor, Head of Electrophysiology Research Group
Universiti Teknologi Malaysia, Kuala Lumpur Campus, Malaysia
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 areas are in image processing and analysis, and machine and deep learning. Her current work concentrates on medical image analysis using machine and deep learning techniques for lung diseases, and calcification detection using IVUS images. She has published many papers in journals and in indexed conference proceedings, and has published one academic book titled ‘An Introduction in Image Processing’ in Malay Language. She has also published several book chapters. Currently she is the internal curriculum auditor for UTM Centre for Quality and Risk Management 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 34 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 has held key positions in IEEE Signal Processing Society Malaysia Chapter and IEEE Engineering Medicine and Biology Society Malaysia Chapter. Currently, she is the interim chair for IEEE Malaysia Kuala Lumpur Subsection which was formed in February 2021. In international level, IEEE MGA committee positions she held are IEEE EAB Certificates Program Committee 2019-2021, IEEE Senior Member Panel Reviewer 2019- 2020, IEEE HAC Event Evaluation Panel 2020, and IEEE SIGHT Group Petition Evaluation Panel 2020-2021. 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.
1. Why did you choose to become faculty in the field of Signal Processing?
I was introduced to image processing by my supervisor Prof. Mitra during my final year thesis of undergraduate program which was fascinating and interesting for me. It was way back in 1984 at Texas Tech University, Lubbock, Texas. I fell in love ever since with image processing and from then continued my MPhil and PhD in solving image processing and analysis problem. Since then, I have made my career as an academician towards research in image analysis and processing from the day I joined Universiti Teknologi Malaysia.
2. How does your work affect society?
My work on image analysis and processing for various application, but mostly concentrated in lung disease detection and classification using Chest X-rays and CT Scans images. My research study also came handy during the recent pandemic which concentrates on lung disease, namely, lung cancer, pneumonia, pulmonary tuberculosis and of course COVID19.
3. What challenges have you had to face to get where you are today?
Trying to balance my family life and career is the greatest challenge being women in Signal processing. I feel am blessed with loving husband who understood me as well as four beautiful and intelligent children. I choose family in early part of my career and started to build my career when my children already in their teens. This helped me to achieve the position in what I am right now.
4. What advice would you give to scientists/engineers in signal processing?
My advice for them would be to follow their passion. This will definitely excel oneself to achieve greater heights in their career.
To learn more about Norliza Mohd Noor, please visit her webpage.
Nomination/Position | Deadline |
---|---|
Call for Proposals: 2025 Cycle 1 Seasonal Schools & Member Driven Initiatives in Signal Processing | 17 November 2024 |
Call for Nominations: IEEE Technical Field Awards | 15 January 2025 |
Nominate an IEEE Fellow Today! | 7 February 2025 |
Call for Nominations for IEEE SPS Editors-in-Chief | 10 February 2025 |
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