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Agenda – ICGDLAS 2027, Tagaytay

International Conference on Generative AI, Deep Learning & Autonomous Systems — ICGDLAS 2027

Dates

24–25 January 2027

Venue

Tagaytay, Philippines

Field

Generative AI, Deep Learning & Autonomous Systems

Conference Agenda

ICGDLAS 2027 takes place on 24–25 January 2027 in Tagaytay, Philippines, in person and online. Below is the session plan; the detailed schedule with paper IDs and presentation slots is emailed after the last date of registration.

Conference Program

All times are Tagaytay local time (GMT+08). The final schedule is emailed after the last date of registration.

Day 1
  1. 10:00 – 10:30

    Inaugural Session & Welcome Address

    (Conference Chair / Conference Coordinator)

  2. 10:30 – 11:00

    Networking Tea Break

  3. 11:00 – 13:00

    Technical Session I

    (Oral & Poster Presentations – Hybrid Mode)

  4. 13:00 – 14:00

    Lunch Break

  5. 14:00 – 17:00

    Technical Session II

    (Oral & Poster Presentations – Hybrid Mode)

Day 2
  1. 09:00 – 10:30

    Plenary Session: Keynote & Invited Speeches

    (Hybrid Mode)

  2. 10:30 – 11:00

    Tea Break

  3. 11:00 – 12:00

    Plenary Session Continued

    (Keynote & Invited Talks)

  4. 12:00 – 13:30

    Lunch Break

  5. 13:30 – 16:00

    Parallel Technical Sessions

    (Oral & Poster Presentations – Hybrid Mode)

  6. 16:00 – 16:30

    Tea Break

  7. 16:30 – 17:30

    Award Ceremony & Closing Session

Notes on the agenda

Final Schedule

The session-wise schedule is emailed by the conference coordinator after the last date of registration. Timings may be adjusted, so check your email regularly.

Online Participants

Virtual presenters receive the meeting link and the time of the technical test run separately, before the conference.

On the Day

Arrive within the reporting time with your original ID card. Late arrivals may not be allowed to present. Book travel only after the “Conference Schedule” email.

See You in Tagaytay This January

Present your research, meet peers from over 50 countries and help shape the future of Generative AI, Deep Learning & Autonomous Systems.