Prof. Dr. Norliza Mohd Noor

Synopsis: The year 2020 has seen the world being traumatised with Covid-19 pandemic. The Covid-19
virus originated from Wuhan, China currently infected the rest of the world including Malaysia. This
talk will discussthe work previously by the speaker on classification of major lung diseases and her
current work on classification of lung infected with Covid-19 using chest radiography images.

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 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 3 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 positions 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.

Dr. Kurnianingsih


The study on recommender or recommendation system has a long history. Today, several recommender systems have been developed for different domains and continue to grow driven rapidly by the availability of various types of user data and the growing interest in the research community. We may be able to find the most favorite and best item or information from the Internet, but we have a big problem on information overload and information explosion. In general, a recommender is defined as tools to help identify worthwhile stuff and recommendation systems are a type of personalization service that learn about the needs and preferences of an individual, and then proactively recognizes and recommends information that meets those needs.


In this talk, we will explain the concept, current state, and techniques for recommendation. Next, we will show several applications of recommender system. Finally, we will discuss the research challenges and future direction of recommendation system

KURNIANINGSIH is an Assistant Professor and Head of Study Program of Computer Engineering Technology in the Department of Electrical Engineering, Politeknik Negeri Semarang, Indonesia. She received a B.Eng. in informatics engineering from the Telkom University, Indonesia, an M.Eng. in electrical engineering from the North Sumatera University, Indonesia, and a Ph.D. in electrical engineering from the Universitas Gadjah Mada, Indonesia. She received an Engineer degree from Institut Teknologi Bandung, Indonesia. Her current research focuses on computational intelligence and big data. She was a Visiting PhD Scholar at Umea University, Sweden, in 2015, and was a Visiting Researcher at King Abdulaziz University, Saudi Arabia, in 2019. Currently, she is a Visiting Researcher and an International Member at Community-centric System Research Centre, Tokyo Metropolitan University, Japan. She was a recipient of the World Class Professor Program Grant from the Ministry of Research, Technology, and Higher Education of the Republic of Indonesia, in 2019. She is a Senior Member of IEEE. She has been an executive committee member in the IEEE Region 10 (Asia-Pacific Region) since 2018, appointed as Information Management Committee Chair. Currently she serves as Vice-Chair of the IEEE Indonesia Section. She was Awardee of 2019 Outstanding Lecturer of Science and Technology, Politeknik Negeri Semarang, Indonesia and was a recipient of the IEEE Region 10 Young Professionals Award in Academician in 2018. She is a member of the IEEE Computational Intelligence Society (IEEE CIS) and member of the IEEE Systems, Man, and Cybernetics Society (IEEE SMCS). She is a member of Indonesian Association of Pattern Recognition (INAPR). She also serves as committee in the Association of Higher Education Institutions in Computer Science and Information Technology of the Republic of Indonesia.

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