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Jasmine Kah Phooi SENG


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Personal profile

Personal profile

Professor Jasmine Kah Phooi Seng (成嘉佩) received her Bachelor (First Class Hons.) and Ph.D degrees from the University of Tasmania, Australia. She is currently Professor in Artificial Intelligence (AI) at the School of AI and Advanced Computing at XJTLU Entrepreneur College (Taicang). Prior to joining XJTLU, she has held senior academic leadership (including Head of Department and Director of Research Centre) and honorary positions across several UK, Australian and Malaysian institutions.She has a proven track record of teaching, research and leadership. She has a strong record of curriculum and program development in different universities at undergraduate and postgraduate levels. Her research interests and strengths are in the areas of AI and intelligent systems, data science/analytics machine learning, Big data, Internet of Things (IoT) edge computing, multimodal information processing, embedded intelligence systems, and mobile software development. She has published three research books and over 250 articles in journals and international refereed conferences in her areas of interests and has received substantial grant incomes from government and industry in Australia and Malaysia. Her recent book titled “Multimodal Analytics for Next-Generation Big Data Technologies Applications” was published by Springer in 2019.Jasmine has a strong passion and strengths for research supervision. She has supervised or co-supervised over 25 HDR students including 15 PhD students to completion. She serves on the editorial board or committees of several journals and international conferences and is a senior member of the Institute of Electrical and Electronics Engineers (IEEE). She also serves as Associate Editor for IEEE Access.

Research interests

AI Intelligent Systems

Data Science Machine Learning

Big Data and Data Analytics

Internet of Things (IoT)

Edge AI and Computing

Multimodal Information Processing

Embedded Intelligence Systems

Mobile Software Development.


Professor in Artificial Intelligence, School of AI and Advanced Computing, Xi’an Jiaotong Liverpool University, 2022- Present

Adjunct Professor, School of Computer Science, Queensland University of Technology, 2021-Present

Adjunct Professor, School of Engineering IT, University of New South Wales, 2019-2021

Professor and Academic Coordinator, Sydney Polytechnic Institute, 2020

Course Consultant Developer (Data Science, Software Engineering, AI Cloud Computing), Laureate Networks of Universities, 2019-2020

Adjunct Professor in Computing, Machine Learning Specialist, School of Computing Mathematics, National Wine Grape Industry Centre, Charles Sturt University, 2016-2018

Adjunct Professor, School of Engineering, Edith Cowan University, 2014-2015

Professor in Computer Science, Head of Department of Computer Science Network Systems, Director of Affective Assistive Technology (AAT) Research Centre, Sunway University, 2011-2013

Associate Professor, School of Electrical Electronics Engineering, Nottingham University, 2008-2011

Assistant Professor, School of Electrical Electronics Engineering Nottingham University, 2005-2007

Lecturer, School of Engineering, Monash University, 2002-2005

Lecturer, School of Microelectronics Engineering, Griffith University, 2001-2002

Part-time lecturer, tutor and lab demonstrator, School of Engineering, University of Tasmania, 1998-2001

Failure Analysis Engineer (semi-conductor), Hewlett Packard, 1997-1998


DTS206TC Applied Linear Statistical Models

Prof. Seng has a strong record of teaching, curriculum and program development in different universities at undergraduate and postgraduate levels. These programs include

•Master of Data Science

•Master of Artificial Intelligence

•Bachelor/ Master of Software Engineering (Artificial Intelligence)

•Bachelor/ Master of Software Engineering (Cloud Computing)

•Bachelor of Software Engineering

•Bachelor of Network Security

•MSc in Mobile Systems

•MSc (research) in Computer Science

•Bachelor Electrical Electronics Engineering

•Bachelor Electrical Computer Systems Engineering

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth
  • SDG 9 - Industry, Innovation, and Infrastructure
  • SDG 11 - Sustainable Cities and Communities
  • SDG 15 - Life on Land

Education/Academic qualification

Ph.D, Artificial Intelligence & Signal Processing, University of Tasmania, Australia 2001

B.Eng (1st Hons), Electronics & Computing, University of Tasmania, Australia 1997

Person Types

  • Staff


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