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UM National Deep Tech Challenge Hackathon Demo Day

lumaHosted on Luma

Fetched 1 day ago

Saturday, May 23, 2026

to Saturday, May 23, 2026

Artificial IntelligenceMachine LearningData ScienceHealthtechResearch

Event Type

in person

UM National Deep Tech Challenge Hackathon— Demo Day Malaysia's first national hackathon focused on commercialising real university IP is wrapping up — and we're ending with a bang! Join us for the National Deep Tech Challenge Demo Day, where the top teams from over 200 participants across Malaysia will take the stage to pitch their commercialisation strategies built on real technologies from Universiti Malaya's research portfolio. What to expect: Final pitches from Malaysia's emerging deep tech foundersCommercialisation strategies built on real UM research technologiesWinner announcements and awardsNetworking with researchers, investors, mentors, and ecosystem players Whether you're a student, researcher, founder, investor, or just curious about where Malaysian university innovation is headed, this is the room to be in. Event Agenda 9:30 AM Registration & Networking 10:00 AM Opening Remarks 10:15 AM Programme Overview & Judges Introduction 10:30 AM Finalist Pitches — 10 min pitch + 5 min Q&A each 11:45 AM Interval Break 11:55 AM Finalist Pitches — 10 min pitch + 5 min Q&A each 1:10 PM Judges Deliberation 1:40 PM Lunch Break 2:40 PM Special Guest Address 3:10 PM Award Ceremony 🏆 3:40 PM Closing Remarks 3:55 PM Photo Session & Networking 4:30 PM End of Event Powered by UM Centre of Innovation and Enterprise

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct