NTU Senior Lecturer
SUTD Associate Director & SUTD Academy Fellow
Research and Software Development (25 years)
Teaching (13 years)
Listed Company Director – NTPM (13 years)
Education: Post Doc, PhD, DBA, LLB, LLM, CFA, ACCA, CIMA, CA, CPA
Publication: 41 (14 Journals, 25 Conference Paper, 2 Book Chapters)
Google Scholar H Index 4
Co-Founder of SUTD Startup Luminaire, Luxury Mystery.
Post Doctorate, Singapore University Technology & Design
PhD Computer Engineering, Nanyang Technological University
Doctor of Business Administration, MBA University of Newcastle
Master of Science in Computer Engineering, Bachelor of Science in Electrical Engineering (Honors) University of Southern California
Master of Law (LLM), National University of Singapore
Master of Law (LLM), University of London
Bachelor of Law (LLB) 2nd Upper Honors, Birmingham City University
Master of Accounting and Finance, University of Gloucestershire
Bachelor of Psychology, University of Derby
ACCA (World Top 100)
Chartered Accountant Singapore, Chartered Accountant Malaysia, CPA Australia, Accredited Tax Practitioner Singapore
Singapore University Technology & Design (SUTD)
Research Fellow - Post Doctorate
Artificial Intelligence – Deep Learning in Cyber Security lab
Cyber Security Log with Big Data, High Velocity, Machine Learning/Deep Learning Analysis using Weka, Matlab and Python
Computation model include: Fuzzy, K-mean, PCA, MLP, Ngram, HMM, Recurrent Neural Nework, LSTM, CNN.
2013 to 2015 (Own Business)
CT Solution - Enterprise Resource Software (ERP)
Inventory and Order Management, Accounting, Human Resources, Customer Relationship Management (CRM), E-commerce (B-B, B-C), Production Management, Supply Chain Management.
2006 to 2012
NTU - Autism Detection: Using Fuzzy-Neural network including Self Organization Map to develop a computational model to detect Autism using Weka, Visual Basic and Matlab.
NTU - Face Detection: Using Neural Network, Multi-Layer Perceptron, Decision Tree, Naïve Bayesian, SVM, Kmean, KNN develop in both Computer and Mobile phone using Weka Visual Basic, Matlab, C++ and C#.
NTU - Facial Recognition: Using Neural Network Multi-Layer Perceptron, Naïve Bayesian, Kmean, KNN develop in both Computer and Mobile phone using Weka, Visual Basic, Matlab, C++ and C#.
NTU - Emotion Recognition: Using Fuzzy-Neural network, GA, Hidden Markov to develop a computational model to recognize human emotion using Weka, Visual Basic, Matlab.
2003 to 2005
AStar - Develop Swimming Pool Drown Detection, Image Compression.
MOE - Operation software
E-commerce, Hotel software, SMS gateway, school financial system, Computer tracking monitoring and control system, operation data and reporting software in general, Inventory Management, Customer Relationship Management, Asset Tracking, Attendance system, Visitor Tracking, Point of Sales, Store Management.
1995 to 2002 (Own Business)
VMS Technology - Telephony Software
Develop Voce mil system, call accounting software, call center, voice logger, call sequencer, computer telephone integration, Voice response system, ringtone and logo mobile phone downloading, interactive chat line.
1991 to 1994
HP - Develop software for HP Printer production line
-Operation - generating serial label, testing, packaging and communication with PLC
-Management - collecting of data, generate reports, real time monitoring
administration of Production and development server and data base under HP-UX environment.
- Teoh Teik Toe, Nguwi Yok Yen. (2020). From Technical Analysis to Text Analytics: Stock and Index Prediction with GRU. 9th IEEE International Conference on Cybernetics and Intelligent Systems, and Robotics, Automation and Mechatronics (CIS-RAM 2019).
- Teoh Teik Toe, Nguwi Yok Yen. (2019). Machine Learning-based Corporate Social Responsibility Prediction. 9th IEEE International Conference on Cybernetics and Intelligent Systems, and Robotics, Automation and Mechatronics (CIS-RAM 2019), November 18-20, 2019, Bangkok, Thailand..
- Teoh Teik Toe, Nguwi Yok Yen. (2019). Machine Learning Based Detection and Categorization of Anomalous Behavior In Enterprise Network Traffic. IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2019, Nov 14 - Nov 16, 2019 Dalian, Liaoning, China.