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International Conference on Statistical Inference in Machine Learning and AI

ICSIMLAI

Mon, Aug 10, 2026- Tue, Aug 11, 2026
Newcastle, Australia

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ICSIMLAI

Mon, Aug 10, 2026- Tue, Aug 11, 2026
Newcastle, Australia
Conference Overview

International Conference on Statistical Inference in Machine Learning and AI is a multidisciplinary research and development association. It has a group of scientists and researchers from around the world who work together to solve problems using science and technology and ensure sustainable development. They help companies, universities, and governments find solutions to challenges related to scientific progress by conducting conferences, workshops and collaborations.

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© 2026 ICA. All rights reserved.

Designed withfor researchers

Start Date

Monday, August 10, 2026

End Date

Tuesday, August 11, 2026

Registration Deadline

Sunday, July 26, 2026

Submission Deadline

Tuesday, July 21, 2026

Conference Agenda
TimingSessions
09:00 AM – 09:30 AMRegistration & Welcome Coffee Kit Collection
09:30 AM – 09:45 AMNetworking Tea Break
09:45 AM – 10:30 AMOpening Plenary Session: Welcome Address & Keynote
10:30 AM – 01:00 PMSession I
01:00 PM – 01:30 PMLunch Break
01:30 PM – 04:00 PMSession II
04:05 PM – 04:15 PMGroup Photo & Final Networking Session
04:15 PM – 05:00 PMClosing Address: Reflections & Awards Presentation

Committee Members

Meet the distinguished experts guiding the conference.

Abdelkader Ababneh

Abdelkader Ababneh

Anastasiia Dardykina

Anastasiia Dardykina

Arindam Sengupta

Arindam Sengupta

Speakers

Learn from renowned speakers and industry leaders.

Dr Balakrishnan Subramanian

Dr Balakrishnan Subramanian

Dr. Amar Johri

Dr. Amar Johri

Dr. Deepak Sharma

Dr. Deepak Sharma

Organizer

Research Foundation

Jasmin
info@researchfoundation.net

Indexed In

  • Scopus
  • DOI Directory
  • Google Scholar
  • Springer
Venue

Boulevard On Beaumont


131 Beaumont St, Newcastle NSW 2303, Australia

Newcastle, Australia

Quick Info
TypeConference
CountryAustralia
MonthAugust-2026

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