
Dr Tang Tiong Yew
| Department of Business Analytics | |
| Sunway Business School (SBS) | |
| [email protected] |
Dr. Tang Tiong Yew received Diploma from Tunku Abdul Rahman College (KTAR), Bachelor of Science (2006) from Tunku Abdul Rahman University (UTAR) and Doctor of Philosophy (2016) from Monash University. He is a lecturer at Department of Business Analytics, Sunway Business School, Sunway University (SU), Malaysia. He taught at Monash University (School of Information Technology, 2016), Tunku Abdul Rahman University College (TARUC, Lecturer, 2016, Senior Lecturer, 2019). Dr. Tang was the visiting scholar at Tokyo Metropolitan University (from September 2010 to March 2011).
Dr. Tang’s research interests include Robotic Process Automation, Deep Learning, Data Mining, Big Data Analytics, Business Intelligence, Artificial Intelligence and Machine Learning.
Grant Received:
Kick Start Grant Scheme 2022, GRTIN-KSGS-DBA[S]-02-2022, RM20,000.00. Project Description: Robotic Process Automation (RPA) for Enterprise Resource Planning (ERP) System with Deep Learning Techniques and Partial Least Square with Structural Equation Modelling (PLS-SEM).
International Patent Filed:
Filled Patent Corporation Treaty (PCT) international patent application in December 2019 with the title “METHOD FOR ENSURING THE AUTHENTICITY AND VALIDITY OF ITEM OWNERSHIP TRANSFER” and published at PCT on 1st July 2021. International Publication Number: WO2021/133150A1
- Doctor of Philosophy (PhD) in Information Technology, Monash University, 2016
- Bachelor of Science (First Class Honours) in Information System Engineering ,Tunku Abdul Rahman University (UTAR), 2006
- Diploma (Distinction) in Information System Engineering, Tunku Abdul Rahman College (KTAR), 2004
- Business Analytics (Information Systems)
- Data Mining
- Big Data Analytics and Visualization in Business
- Advanced Business Analytics and Visualization
- Business Intelligence
- Web Development, Capstone Project
- Robotic Process Automation
- Deep Learning
- Data Mining
- Big Data Analytics
- Business Intelligence
- Artificial Intelligence
- Machine Learning
- Tiong Yew Tang, Narishah Mohamed Salleh, Mikkay Ei Leen Wong, Smart Virtual Robot Automation (SVRA) - Improving Supplier Transactional Processes in Enterprise Resource Planning (ERP) System: A Conceptual Framework, 2nd International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2022), Scopus Indexed Conference.
- Tew, Yiqi, Tiong Yew Tang, and Yoon Ket Lee. A study on enhanced educational platform with adaptive sensing devices using IoT features. 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2017.
- Tang, Tiong Yew, Simon Egerton, and János Botzheim. Spiking Reflective Processing Model for Stress-Inspired Adaptive Robot Partner Applications. International Journal of Artificial Life Research (IJALR) 7.1 (2017): 67-84.
- Dalai Tang, János Botzheim, Naoyuki Kubota, and Tiong Yew Tang. Fuzzy spiking neural network for abnormality detection in cognitive robot life supporting system. In IEEE Symposium on Robotic Intelligence in Informationally Structured Space. IEEE, 2015. (Indexed by EI, SCOPUS)
- Tiong Yew Tang, Simon Egerton, János Botzheim, and Naoyuki Kubota. Stress Inspired dynamic optimisation on working memory for cognitive robot social support systems. In MECATRONICS2014-Tokyo, 10th anniversary of France-Japan and 8th Europe-Asia Congress on Mechatronics. IEEE Computer Society, November Tokyo, Japan, 2014.
- Tiong Yew Tang, Simon Egerton, János Botzheim, and Naoyuki Kubota. Average edit distance bacterial mutation algorithm for effective optimization. In Proceedings of IEEE Symposium Series on Computational Intelligence, USA,. IEEE Computer Society, 2014. (Indexed by EI, SCOPUS)
- Tiong Yew Tang, Simon Egerton, János Botzheim, and Naoyuki Kubota. Dynamic programming for guided gene transfer in bacterial memetic algorithm. In Chu Kiong Loo, Keem Siah Yap, Kok Wai Wong, Andrew Teoh Beng Jin, and Kaizhu Huang, editors, Neural Information Processing, volume 8836 of Lecture Notes in Computer Science, pages 596-603. Springer International Publishing, 2014. (CORE Rank A)
- Tiong Yew Tang, Simon Egerton, and Naoyuki Kubota. Reinforcement learning in non-stationary environments: An intrinsically motivated stress based memory retrieval performance (sbmrp) model. In Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on, pages 1728–1735, July 2014. (CORE Rank A)
- International Patent Inventor Published in Patent Corporation Treaty (PCT)
- Coordinating and mentoring for AI & BIG DATA Hackathon
- Judge for MyAppzil mobile app competition
- Co-advisor for International Robothon Competition 2016 with Eduspecs
- Innovate Malaysia Design Competition 2017/2018.
- SAS Fintech Challenge 2017/2018, mentor for two student teams in TOP20 semi-final, and TOP 5 in final.
- IEEE Computational Intelligence Society
- Malaysia Innovation Ambassador, Genovasi (Design Thinking School)
- Judge for FIRST LEGO League (FLL) National-level robotic competition


Research