Manjit Singh Sidhu

Prof. Dr. Manjit Singh Sidhu

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Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 April 2024 in Multimedia Tools and Applications
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Journal Article
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MSManjit Singh Sidhu
Manjit Singh Sidhu
NLNur Atiqah Abdul Latib
Nur Atiqah Abdul Latib
KSKirandeep Kaur Sidhu
Kirandeep Kaur Sidhu

9 June 2024 in Computer Applications in Engineering Education
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Journal Article
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MSManjit Singh Sidhu
Manjit Singh Sidhu
SMSara Mousakhani
Sara Mousakhani
CLChen K. Lee
Chen K. Lee
KSKirandeep K. Sidhu
Kirandeep K. Sidhu

29 July 2023 in Computer Applications in Engineering Education
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Journal Article
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MLMin Chi Low
Min Chi Low
CLChen Kang Lee
Chen Kang Lee
MSManjit Singh Sidhu
Manjit Singh Sidhu
SLSeng Poh Lim
Seng Poh Lim
ZHZaimah Hasan
Zaimah Hasan
SLSeng Chee Lim
Seng Chee Lim


17 December 2021 in Malaysian Journal of Computer Science
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Journal Article
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MSManjit Singh Sidhu
Manjit Singh Sidhu
JIJavid Iqbal
Javid Iqbal
Technology advancements has enabled dance to be learnt without mirrors or real dance trainer. Distinctive benefits has been contributed by Augmented Reality (AR) technology. Dance trainers are focusing upon implementing dance analysis systems to enhance dance trainee’s artistic skills. AR technology presents new user experience (UX) for learning, instructing, developing and accessing physical dance movements as well as provides scope to expand dance resources and rediscover the learning process. In this research work, we present a novel human physical training system i.e. dance training and analysis that could help individuals in learning selected dance styles which ignites motivation, matches dance steps/body postures and analyzes the performance. This study explored quantitative data by means of statistical tests validation with participants in using the phyisical training system that has facilitated in testing the dance body postures and steps. The work also adopted the user experience (UEQ) questionnaire to perform the UX evaluation. The outcome revealed favaroble results indicating the measurement score of the UEQ six scales to be in the positive range.

4 October 2023 in International Journal of Mechanical Engineering Education
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Journal Article
Closed access
MSManjit Singh Sidhu
Manjit Singh Sidhu
JYJee Geak Ying
Jee Geak Ying
A study was conducted at University Tenaga Nasional to compare engineering students’ preferences in using augmented reality technology user interface (UI) applications to solve selected engineering problems. The study utilized a cross-sectional design and the Wilcoxon signed-rank test approach within a controlled environment to analyse the difference in rankings of engineering applications. The study also measured learnability and assessed the software quality using questionnaire for user interaction satisfaction. The multiple function UI was found to be statistically significant more effective than the tangible user interface (TUI) for engineering students. The study provides reliable evidence that multiple function UI is a better option in engineering education than TUI.