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).

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

 

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.

 

Selected Publications

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, 2026.

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]

[ABDC = A/A* journals in ABDC (Australia) list; SJR = SCImago Journal Rank Q1/2; WoS = Web of Science Q1/2; GM = Google Scholar Metrics Category Global Top 20]

 

Lim, Tristan; Wang, Zhiyuan; Teng, Yun. (In Press). 
ESG-XAI: An Explainable Unsupervised Feature Selection Pipeline for ESG Datasets. Data Science in Finance and Economics. American Institute of Mathematical Sciences (AIMS) Press. [WoS].

Lim, Tristan. (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, SJR].

CWH, Woo & Lim, Tristan (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. [SJR, WoS].

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

Lim, Tristan; Gottipati, Swapna & Cheong, Michelle (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 [SJR, WoS, GM (Education #4; Education Technology #5)].

Lim, Tristan (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 [SJR, WoS, GM (Artificial Intelligence #9)].

Lim, Tristan; Gottipati, Swapna & Cheong, Michelle (2024).
Educational Technologies and Assessment Practices: Evolution and Emerging Research Gaps. In Braman, J., Brown, A. & Richards, M. J. (Ed.), 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, Tristan (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 [SJR, WoS, GM (Business, Economics & Management (General) #19)].

Lim, Tristan; Pan, Tao; Ong, Chin Sin; Chen, Shuaiwei; Chia Jie Jun Jeremy (2023). 
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, 2(1), 105-131. MDPI. https://doi.org/10.3390/analytics2010007 [Editor’s Choice Article].

Lim, Tristan; Gottipati, Swapna; Cheong, Michelle; Ng, Jun Wei & Pang, Chris. (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  [SJR, WoS, GM (Social Sciences #3; Education #1; Education Technology #2)].

Lim, Tristan; Gottipati, Swapna & Cheong, Michelle (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, Tristan & Thng Patrick (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. Transformations in Banking, Finance and Regulation series. World Scientific. (pp. 307-355). https://doi.org/10.1142/q0375 [Book Chapter].

 

Lim, Tristan & Ng, Heber (2022). 
Financial Portfolio Management Based on Shape-based Unsupervised Machine Learning: A Dynamic Time Warping Baycenter Averaging Approach to International Markets and Periods of Downside Event Risks. Journal of Investing. 32(1). Institutional Investor Journals. https://doi.org/10.3905/joi.2022.1.251 

Lim, Tristan; Gottipati, Swapna & Cheong, Michelle (2022). 
Authentic Assessments for Digital Education: Learning Technologies Shaping Assessment Practices. Proceedings of the 30th International Conference on Computers in Education (ICCE 2022). 1, pp. 587-592. Kuala Lumpur, Malaysia. ISBN: 978-986-972-149-3

Lim, Tristan; Gottipati, Swapna; Cheong, Michelle; Ng, Jun Wei & Pang, Chris. (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, Tristan & Thng, Patrick (2021). 
Outsourcing Life Cycle Model for Financial Services in the FinTech Era. Proceedings of IEOM 2021 11th Annual International Conference on Industrial Engineering and Operations Management. 139, pp. 703-731. Singapore. [Best Paper Award, Runner-Up].

Lim, Tristan & Ong, Chin Sin (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, Tristan (2021). 
K-Means Clustering-Based Market Basket Analysis: U.K. 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, Tristan & Ong, Chin Sin (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, Tristan; Ong, Chin Sin & Gunawan, Aldy (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, Tristan (2020).
Applying Survival Analysis for Customer Retention: A US Regional Mobile Service Operator. IEEE 2020 Zooming Innovation in Consumer Technologies Conference, p. 338-342. Novi Sad, Serbia. https://doi.org/10.1109/ZINC50678.2020.9161811 

Lim, Tristan (2020).
RFM and Classification Predictive Modelling to Improve Response Prediction Rate. IEEE 2020 Zooming Innovation in Consumer Technologies Conference, p. 333-337. Novi Sad, Serbia. https://doi.org/10.1109/ZINC50678.2020.9161800 

Lim, Tristan; Tan, Hwee-Pink; Ong, Chin Sin; Belani, Rahul; & Agrawal, Siddhant (2019). 
Designing a Smart Internet of Things Solution for Point of Use Water Filtration Management System in Residential, Commercial and Public Settings. Test Engineering & Management, 83, p. 12561-12568.

Lim, Tristan; Ser, Michael; Goh, Mark & Tan, Jacelyn (2019). 
Volumetric Optimization of Freight Cargo Loading: Case Study of a SME Forwarder. Proceedings of the 24th International Symposium on Logistics, p. 352-359. Würzburg, Germany.

 

Conference & Workshop Presentations [Selected]

Guan, Chong, Ren, Jing & Lim, Tristan. (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. Bangkok, Thailand.

Guan, Chong, Lim, Tristan, & Ding, Ding. (2025). 
Selling Pixels: A Computer Vision and Causal XAI Approach to Aesthetics Influencing NFT Valuation. Track: AI & Advanced Analytics in Financial Valuation & Reporting. 10th International Conference on Smart Finance (ICSF). Tongji University and Tsinghua University, Shanghai, China. [Best Paper Award].

Guan, Chong, Lim, Tristan, & Ding, Ding. (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, Florence; Ng, Annie; Chian. Hwey Min; Pang, Christopher; Lim, Tristan; Tan, Kenneth; Goh, Shirley & Foo, Edwin. (2024).
Learning Experience Design (LXD) for Learner Engagement. 17th International Symposium on Advances in Technology Education (ISATE). Singapore.

Lim, Tristan (2024).
Evaluating Ethical Dimensions in AI-Driven Educational Assessments: A Framework Analysis. 17th International Symposium on Advances in Technology Education (ISATE). Singapore.

Lim, Tristan (2023, December 7).
Impact of AI in the Banking Sector: Ethical and Managerial Imperatives of Generative AI in Banking. Association of Southeast Asian Nations (ASEAN) Permanent Committee on Banking Education meeting, 51st ASEAN Banking Council Meeting and 23rd ASEAN Banking Conference, Laos.

Lim, Tristan (2023, February 1).
Predictive Crypto-Asset Automated Market Making Architecture for Decentralized Finance using Deep Reinforcement Learning. Decentralised Finance Research Group Workshop. Oxford–Man Institute of Quantitative Finance, University of Oxford. Oxford, United Kingdom

Lim, Tristan (2023).
Key Research Themes in Ethics and Artificial Intelligence in Educational Assessments. 16th International Symposium on Advances in Technology Education (ISATE). Matsue, Japan.

Lim, Tristan (2022).
Emerging Technologies Impacting Authentic Assessment Practices for Digital Education in Higher Education. 15th International Symposium on Advances in Technology Education (ISATE). Singapore.

Lim, Tristan (2021).
Project-Based Learning as a Pedagogical Approach for Financial Technology Education. 14th International Symposium on Advances in Technology Education (ISATE). Turku, Finland. ISBN: 9789522167941.

Lim, Tristan; Tan, Hwee-Pink; Ong, Chin Sin; Belani, Rahul; & Agrawal, Siddhant (2019).
Designing a Smart Internet of Things Solution for Point of Use Water Filtration Management System in Residential, Commercial and Public Settings. IEEE 2019 International Conference on Engineering Technology and Technopreneurship. Bandung, Indonesia.

 

 

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