Educational Qualifications

2024
Doctor of Engineering, Singapore Management University 

2020
Master of IT in Business (Analytics), Singapore Management University

2014
Master of Science (Supply Chain Management), National University of Singapore

2009
Master of Commerce (Finance & Quantitative Finance), The University of Sydney

Academic and Professional Experience

2025 - Present
Head of Programme (Business & Technology Cluster), SUSS Academy, Singapore University of Social Sciences (SUSS).

2025 - Present
Member, Training Quality Audit Committee, SUSS Academy, Singapore University of Social Sciences

2025 - Present
Co-Chair, Special Interest Group on Generative AI, Learning, Teaching and Assessment (SIG AILTA), Singapore University of Social Sciences

2023 - Present
President, National Advisory Council, Chartered Institute of Securities and Investments (CISI)

2026 - Present
Member, Accreditation Committee, Singapore Institute of Directors.

2025 - Present
Member, Education and Contents Committee, CFA Society Singapore.

2025 - Present
Guest Editor, Systems (MDPI, ISSN 2079-8954), Special Issue: Complex Financial Systems: Dynamics, Risk, and Resilience.

2025 
Member, Machine learning, Deep learning and AI in CE (MDA) Technical Committee (CTSoc), IEEE.




Journal Editorial, Technical Programme Committee & Reviewership [Selected]

ACM Transaction on Internet Technology, 2026 – Present.

IEEE Transactions on Consumer Electronics, 2026 – Present.

Journal of Enterprise Information Management, 2026 – Present.

Applied Economics, 2026 – Present.

IEEE Access, 2026 – Present.

International Journal of Human-Computer Interaction, 2026 – Present.

International Journal of Financial Studies, 2025 – Present.

Journal of Behavioral Finance, 2025 – Present

Singapore Economic Review, 2025 – Present

Computer Applications in Engineering Education, 2025 – Present

Big Data and Cognitive Computing, 2024 – Present

FinTech, 2023 – Present

Financial Innovation, 2023 – Present

Journal of Investing, 2022 – Present

Mathematics, 2023 – Present

International Journal of Educational Technology in Higher Education, 2024 – Present

Education and Information Technologies, 2022 – Present

DASET 2026: International Conference on Data Analytics for Sustainability and Engineering Technology

ICCE 2026: IEEE 44th International Conference on Consumer Electronics

Conferences include: 2025 IEEE International Conference on Computer and Applications (ICCA); 2026 International Conference on Data Analytics for Sustainability and Engineering Technology (DASET); 2026 IEEE 44th International Conference on Consumer Electronics (ICCE)

Conference and Roundtables [Selected]

Session Coordinator, “AI Governance in Finance: Balancing Innovation, Returns, and Risk Resilience”, Chartered Institute of Securities and Investments (CISI), Risk and Insurance Management Association of Singapore (RIMAS), and Marsh Specialty, 25 March 2026, with Moderator: Yulia Blaisdell, Panellists: Dr. Brindha Jeyaraman, Tien Nguyet Long, Sean K. Letz, and Waltson Tan.

Global Roundtable Panellist – APAC, “AI Monitor: Shining a light on AI’s ethical threats for finance professionals”, ACCA and CISI Report, Oct 2025, with Roundtable Moderators and Authors Alister Brisbourne and Sarah Lane. https://www.accaglobal.com/content/dam/ACCA_Global/professional-insights/ai-monitor-shining-a-light-on-ethical-threats/ai-monitor-shining-a-light-on-ethical-threats.pdf

Conference Panellist & Invited Speaker, “AI and Business Innovation”, INSEAD AI Forum Asia, Singapore, 30 May 2025, with Moderator Ann Guo, and Co-Panellists Benjamin Che, Dr Ong Geok Chwee, and Dr Chua Chee Lay.

Session Coordinator and Moderator, “Responsible AI in Finance: An International Perspective on Regulations, Governance and Ethics”, Chartered Institute of Securities and Investments, Global Webinar, 23 July 2024, with Panellists Alvin Eng, Andeed Ma and Muklesur Bharuya.

Conference Panellist, “Implementing AI in The Classroom – Real World Challenges & Solutions”, AI in Education Forum 2024, 28 February 2024, with Moderator Dr Kim Chua, and Co-Panellists Dr Sasa Arsovski, Dr Ganesh Neelakanta Lyer and Christopher Pang.

Conference Panellist, “AI-driven Transformation in Trading”, Trading Singapore 2023, Singapore, 21 September 2023, with Moderator Tuck Meng Yee, and Co-Panellists ShunYet Jan and Eric Neo Say Wei.

Conference Session Chair, Digital Marketing Topic, E-Technologies Track, ICIT 2021: 10th International Conference on Information Technology, Amman, Jordan, 14-15 June 2021.

 

Media Contributions [Selected]

“Gen Zs See Markets as Swipe, Tap, Trade”, Insights from CFA Society Singapore, Opinion Editorial (Op-Ed), Business Times, 20 Dec 2025. https://www.businesstimes.com.sg/opinion-features/gen-z-sees-markets-swipe-tap-trade

“Analysts: Increased competition will drive financial innovation.”, Lianhe Zaobao, 2 July 2019, https://www.zaobao.com.sg/finance/singapore/story20190702-969011.

“The rise of digital banking helps consumers and SMEs.”, The SME Magazine (SGSME), 1 July 2019.

“Enterprise version of PayNow service enabled. Nearly 29,000 users have completed registration.”, Channel 8 News, 13 August 2018.

 

Awards and Honours

2026
Editor's Choice Article. Analytics, MDPI.

2025
Best Paper Award, Track: AI & Advanced Analytics in Financial Valuation & Reporting. 10th International Conference on Smart Finance (ICSF).

2021
Best Graduate Paper Award (Runner-Up). 11th Annual International Conference on Industrial Engineering and Operations Management (IEOM).

2020, 2021
Education Achievement Award. Nanyang Polytechnic

Selected Publications

[ABDC = B/A/A* in ABDC list; SJR = SCImago Journal Rank Q1/Q2; WoS = Web of Science Q1/Q2; CS = CiteScore Q1; GM = Google Scholar Metrics Category Global Top 20]

Best Paper Award/Editor’s Choice Article

Editor’s Choice Article, “Theory-Guided Analytics Process: Using Theories to Underpin an Analytics Process for New Banking Product Development using Segmentation-based Marketing Analytics Leveraging on Marketing Intelligence”, Analytics, 2023.

Best Paper Award, Track: AI & Advanced Analytics in Financial Valuation & Reporting, “Selling Pixels: A Computer Vision and Causal XAI Approach to Aesthetics Influencing NFT Valuation”, 10th International Conference on Smart Finance, 2025.

Best Graduate Paper Award, Runner Up, “Outsourcing Life Cycle Model for Financial Services in the FinTech Era”, 11th Annual International Conference on Industrial Engineering and Operations Management, 2021.

 

Book Chapters, Journal Papers and Conference Proceedings [Selected]

Guan, C.; Ren, J.; Lim, T. (2026). 
Co-evolution of Artificial Intelligence and Green Technological Innovation: Evidence from Computational Mapping. Analytics, 5(3),27. MDPI. https://doi.org/10.3390/analytics5030027 [CS; SJR]

Shi, J.; Wang, Z.; Ding, D.; Wang, Y.; Xia, C.; Ding, Q.; Lim, T. (2026). 
Who Gets the Flows? AI-Based Brand Visibility, Social Media Sentiment, and Capital Allocation in the US Spot Bitcoin ETF Market. Mathematics, 14(11), 1959. MDPI. https://doi.org/10.3390/math14111959 [CS; SJR; WoS]

Wang, Z.; Lim, T.; Teng, Y.; Xia, C. (2026). 
A Data-Driven Machine Learning Framework for Multi-Criteria ESG Evaluation. Big Data and Cognitive Computing, 10(5), 130. MDPI. https://doi.org/10.3390/bdcc10050130 [CS; SJR; WoS]

Lim, T.; Wang, Z.; Teng, Y. (2026). 
ESG-XAI: An Explainable Unsupervised Feature Selection Pipeline for ESG Datasets. Data Science in Finance and Economics, 6(2), 277–314. AIMS Press. https://doi.org/10.3934/DSFE.2026010 [CS; SJR; WoS]

Lim, T. (2026). 
Emotion-Aware Decision Support System for Real-Time Financial Sentiment and Behavior-Based Trading Risk Advisory. Journal of Behavioral Finance, 1–24. Taylor & Francis. https://doi.org/10.1080/15427560.2025.2609644 [ABDC; CS; SJR; WoS]

Woo, C. W. H. & Lim, T. (2025). 
The promise of learner subjectification in authentic learning: A critical discourse analysis of learner agency in EdTech masterplans. Policy Futures in Education. Sage. https://doi.org/10.1177/14782103251411708 [CS; SJR; WoS]

Guan, C.; Lim, T.; Ding, D. (2025). 
Modeling NFT pricing through aesthetic features: An explainable SEM-neural network framework. Journal of Enterprise Information Management, 1–34. Emerald. https://doi.org/10.1108/JEIM-05-2025-0417 [ABDC; CS; SJR; WoS; GM: Business, Economics & Management (General) #15]

Lim, T.; Gottipati, S. & Cheong, M. (2025). 
What Students Really Think: Unpacking AI Ethics in Educational Assessments through a Triadic Framework. International Journal of Educational Technology in Higher Education, 22, 56. Springer Nature. https://doi.org/10.1186/s41239-025-00556-8 [CS; SJR; WoS; GM: Education #4; Educational Technology #5]

Lim, T. (2024). 
Environmental, Social, and Governance (ESG) and Artificial Intelligence in Finance: State-of-the-Art and Research Takeaways. Artificial Intelligence Review, 57(76). Springer Nature. https://doi.org/10.1007/s10462-024-10708-3 [CS; SJR; WoS; GM: Artificial Intelligence #9]

Lim, T.; Gottipati, S. & Cheong, M. (2024). 
Educational Technologies and Assessment Practices: Evolution and Emerging Research Gaps. In Braman, J., Brown, A. & Richards, M. J. (Eds.), Reshaping Learning with Next Generation Educational Technologies (pp. 136–172). IGI Global. https://doi.org/10.4018/979-8-3693-1310-7 [Book Chapter]

Lim, T. (2024). 
Predictive Crypto-Asset Automated Market Making Architecture for Decentralized Finance using Deep Reinforcement Learning. Financial Innovation, 10(144), 1–29. Springer Nature. https://doi.org/10.1186/s40854-024-00660-0 [ABDC; CS; SJR; WoS; GM: Business, Economics & Management (General) #19]

Lim, T.; Pan, T.; Ong, C. S.; Chen, S.; Chia, J. J. (2023). 
Theory-Guided Analytics Process: Using Theories to Underpin an Analytics Process for New Banking Product Development. Analytics, 2(1), 105–131. MDPI. https://doi.org/10.3390/analytics2010007 [CS; SJR; Editor's Choice]

Lim, T.; Gottipati, S.; Cheong, M.; Ng, J. W. & Pang, C. (2023). 
Analytics-enabled Authentic Assessment Design Approach for Digital Education. Education and Information Technologies, 28, 9025–9048. Springer Nature. https://doi.org/10.1007/s10639-022-11525-3 [CS; SJR; WoS; Social Sciences #3; Education #1; Educational Technology #2]

Lim, T.; Gottipati, S. & Cheong, M. (2023). 
Ethical Considerations for Artificial Intelligence in Educational Assessments. In Keengwe, S. (Ed.), Creative AI Tools and Ethical Implications in Teaching and Learning (pp. 32–79). IGI Global. https://doi.org/10.4018/979-8-3693-0205-7 [Book Chapter]

Lim, T. & Thng, P. (2022). 
Reimagining the Management of Outsourcing Life Cycles in the FinTech Era for Financial Services. In Chou, D., O'Sullivan, C. & Papavassiliou (Eds.), FinTech Research and Applications: Challenges and Opportunities (pp. 307–355). World Scientific. https://doi.org/10.1142/q0375 [Book Chapter]

Lim, T. & Ng, H. (2022). 
Financial Portfolio Management Based on Shape-based Unsupervised Machine Learning: A Dynamic Time Warping Barycenter Averaging Approach. Journal of Investing, 32(1). Institutional Investor Journals. https://doi.org/10.3905/joi.2022.1.251 [ABDC]

Lim, T.; Gottipati, S. & Cheong, M. (2022). 
Authentic Assessments for Digital Education: Learning Technologies Shaping Assessment Practices. Proceedings of ICCE 2022, 1, pp. 587–592. Kuala Lumpur, Malaysia. ISBN: 978-986-972-149-3

Lim, T.; Gottipati, S.; Cheong, M.; Ng, J. W. & Pang, C. (2022). 
Assessment Design for Digital Education: An Analytics-based Authentic Assessment Approach. 2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE). pp. 341–348. Hong Kong. https://doi.org/10.1109/TALE54877.2022.00063

Lim, T. & Thng, P. (2021). 
Outsourcing Life Cycle Model for Financial Services in the FinTech Era. Proceedings of IEOM 2021, 139, pp. 703–731. Singapore. [Best Paper Award, Runner-Up]

Lim, T. & Ong, C. S. (2021). 
Portfolio Management: A Financial Application of Unsupervised Shape-based Clustering-driven Machine Learning Method. International Journal of Computing and Digital Systems, 10(1), 253–243. http://dx.doi.org/10.12785/ijcds/100124

Lim, T. (2021). 
K-Means Clustering-Based Market Basket Analysis: UK Online E-Commerce Retailer. 2021 International Conference on Information Technology (ICIT), pp. 126–131. Amman, Jordan. https://doi.org/10.1109/ICIT52682.2021.9491703

Lim, T. & Ong, C. S. (2020).
Portfolio Diversification Using Shape-based Clustering. The Journal of Financial Data Science, 3(1), 111–126. Institutional Investor Journals. https://doi.org/10.3905/jfds.2020.1.054 [SJR]

Lim, T.; Ong, C. S. & Gunawan, A. (2020). 
European Floating Strike Lookback Options: Alpha Prediction and Generation Using Unsupervised Learning. The Journal of Financial Data Science, 2(4), 59–70. Institutional Investor Journals. https://doi.org/10.3905/jfds.2020.1.043 [SJR]

Lim, T. (2020). 
Applying Survival Analysis for Customer Retention: A US Regional Mobile Service Operator. IEEE ZINC 2020, pp. 338–342. Novi Sad, Serbia. https://doi.org/10.1109/ZINC50678.2020.9161811

Lim, T. (2020). 
RFM and Classification Predictive Modelling to Improve Response Prediction Rate. IEEE ZINC 2020, pp. 333–337. Novi Sad, Serbia. https://doi.org/10.1109/ZINC50678.2020.9161800

Lim, T.; Tan, H.-P.; Ong, C. S.; Belani, R. & Agrawal, S. (2019). 
Designing a Smart Internet of Things Solution for Point of Use Water Filtration Management System. Test Engineering & Management, 83, p. 12561–12568.

Lim, T.; Ser, M.; Goh, M. & Tan, J. (2019). 
Volumetric Optimization of Freight Cargo Loading: Case Study of a SME Forwarder. Proceedings of the 24th International Symposium on Logistics, pp. 352–359. Würzburg, Germany.

 

Conference & Workshop Presentations [Selected]

Guan, C., Ren, J. & Lim, T. (2025). 
Bridging Intelligence and Sustainability: A Review on the Role of Artificial Intelligence in Advancing Green Technologies. 5th International Symposium in Environmental Science and Industrial Ecology (ISESIE 2025). Bangkok, Thailand.

Guan, C., Lim, T., & Ding, D. (2025). 
Selling Pixels: A Computer Vision and Causal XAI Approach to Aesthetics Influencing NFT Valuation. 10th International Conference on Smart Finance (ICSF). Shanghai, China. [Best Paper Award]

Guan, C., Lim, T., & Ding, D. (2025). 
Rewiring capital flows: Exploring the nexus between digital finance and investment growth. 12th Conference on Asia and Pacific Economies (CAPE). Xi'an Jiaotong-Liverpool University, Suzhou, China.

Teoh, F.; Ng, A.; Chian, H. M.; Pang, C.; Lim, T.; Tan, K.; Goh, S. & Foo, E. (2024).
Learning Experience Design (LXD) for Learner Engagement. 17th International Symposium on Advances in Technology Education (ISATE). Singapore. 

Lim, T. (2024).
Evaluating Ethical Dimensions in AI-Driven Educational Assessments: A Framework Analysis. 17th ISATE. Singapore.

Lim, T. (2023). 
Key Research Themes in Ethics and Artificial Intelligence in Educational Assessments. 16th ISATE. Matsue, Japan.

Lim, T. (2022). 
Emerging Technologies Impacting Authentic Assessment Practices for Digital Education in Higher Education. 15th ISATE. Singapore.

Lim, T. (2021). 
Project-Based Learning as a Pedagogical Approach for Financial Technology Education. 14th ISATE. Turku, Finland. ISBN: 9789522167941

Lim, T.; Tan, H.-P.; Ong, C. S.; Belani, R. & Agrawal, S. (2019). 
Designing a Smart IoT Solution for Point of Use Water Filtration Management System. IEEE 2019 International Conference on Engineering Technology and Technopreneurship. Bandung, Indonesia.

 

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