NUS-ISS SkillsFuture Series Seminar: Pattern Recognition Systems: when the rubber meets the road

NUS-ISS SkillsFuture Series Seminar: Pattern Recognition Systems: when the rubber meets the road

Pattern recognition has been widely used to solve many real-world problems such as image processing, speech recognition, data mining, business analytics, or finding water on Mars. There are many pattern recognition techniques available to perform different tasks such as regression, classification, clustering, etc. using various statistical and machine learning algorithms.

While the theory and technology behind pattern recognition is maturing, there remains a gap between knowledge and application. For example, deploying an off-the-shelf vision system to real world scenarios can incur significant investment in integration, tuning and maintenance to be effective.

Business decision makers and technology practitioners alike face a similar question: are these systems worth the investment? Will they get obsolete and replaced by more self-evolving systems in the future?

Who Should Attend

Anyone interested an overview of the area and applications of Pattern Recognition systems

Date / Time / Venue
  • 2 July 2019, Tuesday
  • 2:00pm - 5:00pm
  • Shaw Alumni Foundation House Auditorium at Level 2
    11 Kent Ridge Drive Singapore 119244
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Free Admission Register Now Registration ends
on Friday, 28 June 2019 
Please email to for enquiries.

Seminar Agenda

1:30pm Registration
2:00pm Welcome Address

By Ms. Lisa Ong Principal Lecturer & Consultant, Software Systems Practice, NUS-ISS

A client-oriented framework for approaching, identifying and solving Smart City problems

by Mr Jimmy Lee, Head of Advisory, Smart City Solutions, Surbana Jurong Pte Ltd


SATS - Learnings from Deploying Pattern Recognition Systems in the Aviation Space

How SATS deployed “pattern recognition technologies” on some of our projects that directly transformed our traditional operational processes.   

How we have used the technology, what were the limitations we have faced and what we did to solve those limitations.

by Mr Donald Lum, VP Technology Innovation and Data Analytics, SATS Ltd


Refreshment & Networking


Pattern Recognition at Scale: Anomaly Detection in Banking on Stream Data

What is an anomaly? How to you teach a machine to recognize it?

Learn about types of anomalies and anomaly detection techniques, such as supervised, unsupervised, and semi-supervised learning on streamed data. Examples quoted will be for the banking industry, but can be extended to other domains.

by Mr. Teerarat Siwapathomchai, Data Scientist, Biomatrix Chain Intelligence Pte Ltd
4:15pm Deep Learning’s Before & After Story

Deep Learning has irrevocably transformed how we now think about, design and build pattern recognition systems.

What is deep learning, why is deep learning so transformative, and where is it going in the future?

by Dr. Tan Jen Hong, Lecturer & Consultant, Artificial Intelligence Practice, NUS-ISS
4:45pm Panel Discussion

Moderated by Ms Lisa Ong, Principal Lecturer & Consultant, Software Systems Practice, NUS-ISS

Mr. Jimmy Lee, Head of Advisory, Smart City Solutions, Surbana Jurong Pte Ltd
Mr Donald Lum, VP Technology Innovation and Data Analytics, SATS Ltd
Mr. Teerarat Siwapathomchai, Data Scientist, Biomatrix Chain Intelligence Pte Ltd

Dr Tan Jen Hong, Lecturer & Consultant, Artificial Intelligence Practice, NUS-ISS
5:00pm Thank You & Goodbye

Programme may be subjected to changes.


Jimmy Lee

Mr. Jimmy Lee

Head of Advisory, Smart City Solutions, Surbana Jurong Pte Ltd
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Jimmy is an experienced business and technology consultant with over 19 years advising government as well as private sector clients globally. He is presently focused on Smart City consulting for international and local clients, together with the Surbana Jurong Group. Jimmy is able to help clients at all levels of strategy, planning and implementation. He has deep functional experience in Corporate Strategy, Business Process and IT, Market Research and Financial Modelling, as well as a working knowledge of Human Capital Management, Marketing and Operations Management. Prior to life as a management consultant, Jimmy spent eight years as a technology manager and internal consultant for Singapore’s Ministry of Defence and Ministry of Home Affairs, including a stint as Assistant Chief Information Officer in charge of a US$100M annual technology portfolio. Jimmy has a Master’s of Business Administration from Cornell University’s Johnson Graduate School of Management. Prior to that, he also obtained a Masters of Engineering and Bachelors of Science in Computer Science from Cornell University’s College of Engineering under a full scholarship from the Singapore Government.

Donald Lum

Mr. Donald Lum

Vice President, Technology Innovation & Data Analytics, SATS Ltd
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I derive great satisfaction working with my business units in solutioning, strategizing, planning and implementing new technologies to transform their existing job to drive growth, productivity and improving the job. We also help to plan and create the change management strategy which is often the key to the success of any technology implementation; it cannot be over emphasized. And that is just the first step. To further unlock value on those new technologies implemented, we partner with our business unit to convert what was meant to improve the job into marketable product and offering. It created a pipeline that we can upsell to our clients as value-added services and at the same time, we patent and license those solutions for other applications in other industries. I was once given a pad on the back with this comment : " You are turing the company into a technology company that happens to be a ground handler / Food Caterer !" The future is now !.

Teerarat Siwapathomchai

Mr. Teerarat Siwapathomchai

Data Scientist,Biomatrix Chain Intelligence Singapore
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As a Data Scientist, I have extensive experience in the Banking and Consulting Industries in regional settings across Singapore and Thailand. Knowing my efforts can impact the company’s success keeps me going every day! It is my professional goal to deliver strategically innovative and strategically significant solutions. My core functional expertise lies in Data Science, Anomaly Detection, Basel/IFRS 9/Stress Testing, Data Analysis, Advanced Analytic, Financial Risk Modelling, and Machine Learning. Currently, I am a Data Scientist at Biomatrix Chain Intelligence Singapore, where I create Machine Learning and deliver the service to aid the clients in solving and improving their business performance. With its outstanding products and brilliant people, it’s no surprise that Biomatrix Chain Intelligence is such a successful company. My contemporaries know me for being a persuasive communicator who is capable of translating complex strategies and ideas into actionable outcomes with an excellent ability in engaging clients, vendors, stakeholders across all levels. I also have proven abilities leading high-performing, multi-cultural and cross-functional teams in the delivery of multiple concurrent projects. I hold a Master Degree in Financial Management from the College of Management Mahidol University and a Bachelor Degree in Chemical Engineering from the Thammasat University.


Dr. Tan Jen Hong

Lecturer & Consultant, Artificial Intelligence Practice, NUS-ISS

View Biography

Jen Hong develops algorithms. He specializes in deep learning, image processing and medical image diagnosis. He designs illustrations, web page and posters. He plays piano. He invented a mathematical model to analyze dry eye. He used deep learning to correct medical images. He trained deep learning models to identify pathologies in retinal images. And he made deep learning to draw anatomical features. He was the co-Principal Investigator of 6 research grants and 3 clinical trials. He and his team member co-developed algorithms to diagnose breast cancer, ovarian cancer, heart attack, fatty liver, diabetic retinopathy, epilepsy and glaucoma. He has published more than 90 journal articles, 12 of which are deep learning related. Worldwide his publications are cited more than 2000 times..