Machine Learning and Data Analytics laboratory (MLDA@EEE)

MLDA

Established in March 2019, MLDA@EEE provides a platform that empowers EEE/IEM students to explore Machine Learning (ML), Data Analytics (DA), and Artificial Intelligence (AI) through hands-on projects and industry collaborations, helping them stay at the forefront of the rapidly evolving data and AI landscape. It aims to be the leading AI training and research facility for EEE students, staff and faculty.

Our dimensions – Learn, Apply, Connect

Connect With Us

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Achievement

MLDA@EEE received the Nanyang Award for Teamwork at the 2021 Nanyang Awards Ceremony. This is the highest honour awarded to a student club, recognising their exceptional teamwork in a major university event that brought success and prestige to the University.

Our Events

Deep Learning Week

A high-impact, innovation-driven hackathon featuring real-world AI challenges, industry engagement, expert talks, and showcases of student projects. Highlights include industry visits, professional sharing sessions, and an annual exhibition of MLDA initiatives.

Insider Series, Workshops & Industry Visits

Bridging classroom learning with real-world AI applications, promote industry-relevant skills, and deepen student engagement beyond the curriculum.

Our Key Pillars

Learn

Acquire relevant MLDA knowledge through specialised workshops and training programmes. 

Highlights: 

A group of students posing for the camera after the workshop

Apply

Acquire relevant MLDA knowledge through specialised workshops and training programmes. 
Highlights: 

  • Industry Adhoc Projects 

  • Undergraduate Research (URECA) Projects 

  • Design & Innovation Projects (DIP) 

  • Final Year Projects (FYP) 

  • Industry Postgraduate Programme (IPP) Projects

Click here for more information

Connect

Network with industry partners through company visits and career sharing. 
Highlights: 

  • MLDA-related sharing 

  • Industry career sharing 

  • Panel discussions 

  • Deep Learning Week Industry Night

 

For further enquiries, kindly contact:  

Click here to find out about our faculty and staff

Name:

Title: 

Email: 

Ms Karen Lek

Assistant Director

Name:

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Email: 

Mr. Tang Lit En

President, MLDA@EEE