Type of Contributions

The symposium welcomes original contributions on robust methods in statistical inference and machine learning. Submissions may include theoretical developments, methodological innovations, computational techniques, and applications that advance reliable and trustworthy analysis of complex modern datasets.

Contributed Oral Presentations

A limited number of contributed talks will be selected for oral presentation. 

Each presentation will be allocated 15 minutes, including time for discussion.

Poster Presentations

Interested researchers may consider presenting their works in the poster session, which will provide an excellent opportunity for in-depth discussions and networking.

Student Poster Competition

Students are especially encouraged to participate through the Student Poster Competition. They should be currently registered as "student" and the proof needs to be submitted while registration. The topic of submission may be on statistical inference and related areas close to the theme of the symposium.

Pre-selected 20 submissions (from eligible students) will be considered for poster presentations, and the certificate and Book prizes will be presented to outstanding contribution(s).

Abstract Submission

Authors should submit their abstract by email to robstat2027@gmail.com

The deadline for abstract submission is 30 November 2026.

The subject line of the email should be "Abstract Submission for RobStat 2027: [Type]" where [Type] should be one of the following: Oral, Poster, or Student Poster Competition

Authors submitting for an Oral presentation may indicate in the body of the email that they are willing to have their contribution considered for a Poster presentation if it is not selected for an oral presentation. This option should be clearly stated at the time of submission.

Abstract Guidelines

Length: Maximum 300 words.

File format: PDF or Microsoft Word.

Language: English.

Include: Title, authors, affiliations, corresponding author, and up to five keywords.