SSEF 2022 Fringe Activities

The activities comprise online STEM talks and virtual STEM learning journeys, i.e. the SSEF "A Hundred Hows" Virtual Learning Journeys.

These activities aim to spark students’ curiosity in STEM through demonstrating how STEM learning in the classroom is relevant in the real world and how STEM helps us make sense of the world around us and overcome some of the challenges encountered.

The activities are open to students studying in Singapore schools. Teachers are also invited to join. As limited spaces are available for the STEM talks, confirmation of registration will be on a first-come-first-served basis. Do sign up quickly.

Registration

Click here to register for the STEM Talks! Find out more about each talk below.

  • STEM Talks

    Talk 1: Engineering Research & Development


    Date: 23 February 2022 (Wednesday)

    Time: 3 PM – 4 PM

    Mode: Online (Zoom)

    Speaker:

    Wang Zhaomin - ASTAR

    Wang Zhaomin

    Development Engineer, A*STAR

    ASTAR_ARTC Logo

    Synopsis:

    Engineering in R&D – a bunch of easy-to-understand words but do we really know what it means?

    This session shares about what R&D Engineering is like in the manufacturing industry, the speaker’s experiences in this field and some ideas she might have for you to get started on this!

    Video:

     

    Talk 2: Harnessing digital technologies for our nation’s defence


     

    Date: 3 March 2022 (Thursday)

    Time: 3 PM – 4 PM

    Mode: Online (Zoom)

    Speaker:


    Daryl Lee - DSTA

    Daryl Lee

    Head Engineering, DSTA

    DSTA Logo

    Synopsis:

    The talk will give an introduction of Artificial Intelligence, covering the underlying technologies, why now.  It will be followed by a sharing of real-world use cases in commercial and government sectors.  The speaker will conclude with way ahead and interesting technology developments such as MetaVerse, Unreal gaming engines, and their impacts.

    Video:


    Talk 3: Clean Water from Clean Energy - Harnessing Solar Energy for a More Sustainable Tomorrow


     

    Date: 9 March 2022 (Wednesday)

    Time: 3 PM – 4 PM

    Mode: Online (Zoom)

    Speaker:

    Elaine Quek PUB

    Elaine Quek

    Deputy Director, Policy and Planning Department, PUB

    PUB Logo

    Synopsis:

    With water demand projected to almost double by 2060 as compared to today, PUB Singapore’s (PUB) energy needs will increase as we rely more on weather-resilient yet energy-intensive sources – NEWater and desalinated water. A key strategy to manage our energy use is increasing renewable energy production through the deployment of solar photovoltaic (PV) systems on our land installations and on our reservoirs.

    Video:

     

    Talk 4: Leveraging AI to empower Home Team’s operations and enhance Singapore safety and security


     

    Date: 16 March 2022 (Wednesday)

    Time: 3 PM – 4.30 PM

    Mode: Online (Zoom)

     

     

    Speaker:

    Huang Shiheng v2 - HTX

    Dr Huang Shisheng

    Head Risk Profiling Analytics, Cognitive Computing, Data Science, HTX

     

    Alvin Wong v2 - HTX

    Alvin Wong

    Engineer, Sensors and sense-making, Sense-making & Surveillance Centre of Expertise, HTX

     

     


    HTX Logo

    Synopsis:

    How does Data Science and Artificial Intelligence (AI) help to keep Singapore safe? Hear from HTX’s Data Scientist to find out how data science can be applied to solve crimes and save lives. Learn from our Sensors and Sensemaking Engineer about the AI behind Xavier, the HTX robot developed to help government agencies keep our public spaces safe.

    Video:

     

    Talk 5: Challenges in building Artificial Intelligence Applications


     

    Date: 23 March 2022 (Wednesday)

    Time: 3 PM – 4 PM

    Mode: Online (Zoom)

     

    Speaker:

    Chieu Hai Leong - DSO

    Dr Chieu Hai Leong

    Distinguished AI Scientist, DSO

    DSO Logo

    Synopsis:

    Recent advances in artificial intelligence (AI) have enabled many applications such as speech recognition and machine translation. Such applications are driven by machine learning which requires massive amounts of manually annotated data, such as manual speech transcripts, to achieve good performance. In reality, annotation of data for each new application is time consuming, and the reliance on big annotated data limits the general application of AI. This talk addresses past and recent ideas on building applications with small amounts of annotated data, and current research directions in building more generalisable machine learning algorithms.


    Video:


     


  • “A Hundred Hows” Virtual Learning Journeys

    Click here where you can also catch up on the e-learning journey videos from!

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