Physics-Informed Machine Learning Society
FDP: 25 September 2026
Annual Meeting: 08–09 July 2027
Andhra Pradesh, India
pimlsociety@gmail.com
PIMLS welcomes faculty members, researchers, scientists, engineers, industry professionals, research scholars, students, AI practitioners and specialists from related disciplines.
Applicants should download and complete the membership PDF, sign it, and email the signed form together with their current biodata or CV to pimlsociety@gmail.com.
Regular Membership: INR 1,500 per year or USD 30 per year
Student Membership: INR 250 per year or USD 10 per year
Fee applicability: USD fees apply to high-income economies as defined by the United Nations; INR fees apply to all other countries. View the referenced country classification.
Application: Signed PDF form and current biodata/CV
After approval: Payment details are sent to the applicant by email. A membership certificate is issued after completion of the membership process.
Apply for MembershipApplications follow a simple review-and-approval process.
Download the PDF application form, select the membership category and complete all applicable fields.
Sign the completed form and email it to PIMLS together with your current biodata or CV.
The Society reviews the application. Approved applicants receive the applicable payment details by email.
After the membership process is completed, the Society issues the membership certificate and member-activity information.
Download the PDF form, complete it in block letters, sign it and email it with your current biodata or CV to the Society for review.
PIMLS members can participate in continuing online sessions for interdisciplinary research guidance, collaboration discussions, publication-related guidance, clarification of technical doubts and broader questions connected with Physics-Informed Machine Learning.
7:00 PM Indian Standard Time (IST)
7:00 PM Indian Standard Time (IST)
These sessions are intended only for current PIMLS members. Members may use the session link for mentoring related to research collaboration, scholarly communication, technical questions and PIML learning.
Member Session Link