Agenda – WCMLEINIP 2027, Jeddah

World Conference on Machine Learning, Edge Intelligence & Neural Information Processing Systems — WCMLEINIP 2027

Dates

15–16 January 2027

Venue

Jeddah, Saudi Arabia

Field

World Conference on Machine Learning, Edge Intelligence & Neural Information Processing Systems

Conference Agenda

WCMLEINIP 2027 takes place on 15–16 January 2027 in Jeddah, Saudi Arabia, 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 Jeddah local time. The final schedule is emailed after the last date of registration.

15 January 2027

Day 1

10:00 – 10:30

Inaugural Session & Welcome Address
(Conference Chair / Conference Coordinator)
10:30 – 11:00

Networking Tea Break
11:00 – 13:00

Technical Session I
(Oral & Poster Presentations – Hybrid Mode)
13:00 – 14:00

Lunch Break
14:00 – 17:00

Technical Session II
(Oral & Poster Presentations – Hybrid Mode)

16 January 2027

Day 2

09:00 – 10:30

Plenary Session: Keynote & Invited Speeches
(Hybrid Mode)
10:30 – 11:00

Tea Break
11:00 – 12:00

Plenary Session Continued
(Keynote & Invited Talks)
12:00 – 13:30

Lunch Break
13:30 – 16:00

Parallel Technical Sessions
(Oral & Poster Presentations – Hybrid Mode)
16:00 – 16:30

Tea Break
16:30 – 17:30

Award Ceremony & Closing Session

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 Jeddah This January

Present your research, meet peers from over 50 countries and help shape the future of World Conference on Machine Learning, Edge Intelligence & Neural Information Processing Systems.