PIAIEA 2027
1st International Conference on Physics-Informed Artificial Intelligence for Engineering Applications
February 12–13, 2027
Bengaluru, India
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Book Your Seat Now
MSR Nagar
Bengaluru, India 560054
Advancing Engineering with Physics-Informed AI
This two-day international conference brings together researchers, academicians, industry experts, and students working in Physics-Informed Neural Networks, Physics-Informed Machine Learning, and Artificial Intelligence for engineering applications.
- 2 days of keynotes, workshops, and networking
- 15 parallel Sessions and 5 Workshops
- Sessions covering Mechanical, Civil, Chemical, Biotechnology, Circuit Branches, and allied engineering disciplines
Physics-Informed Machine Learning integrates fundamental engineering principles, governing equations, and domain knowledge into AI models. Instead of relying only on data, these models are trained to respect the underlying physics of engineering systems, making them more reliable, interpretable, and suitable for real-world applications.
What You’ll Gain
Hear from global AI pioneers, industry disruptors, and bold thinkers shaping the future across every domain.
Cutting-Edge Knowledge
Stay ahead of the curve with insights from AI leaders shaping tomorrow’s technology.
Hands-On Learning
Join live workshops and labs to build practical skills in AI and machine learning.
Global Networking
Meet developers, founders, and researchers from around the world to collaborate and grow.
Startup Showcase
Explore the latest AI tools and ideas from promising startups and research labs.
AI Career Boost
Access exclusive job fairs, mentorship sessions, and recruiting events to grow your career.
Ethics & Future
Engage in vital conversations around AI ethics, policy, and the future of intelligence.
“We are pleased to launch the Physics-Informed Machine Learning Society (PIMLS), a non-profit community dedicated to advancing the integration of AI, machine learning, and engineering sciences. The conference will serve as the First Annual Meeting of the Society, welcoming participants from Mechanical, Civil, Electrical, Electronics, Chemical, Biotechnology, Computer Science, and allied engineering disciplines. Membership in the Society is free for all conference attendees.”
PIMLSPhysics Informed Machine Learning
The following are the International Honorary Advisory Board Members of the 1st International Conference on Physics-Informed Artificial Intelligence for Engineering Applications.
Dr. Preetam Ghosh
Professor of Computer Science, Virginia Commonwealth University,USA
Dr. Mehran Mazandarani
Director of AI Tech Dev, CFIT Co. Ltd., China.
Sri Prakash Rao Kollaram
Retired Cyber Workforce Development Manager, US Government, Department of Defense.Quantico, USAWorkshops, Keynotes & Parallel Technical Sessions
The detailed program schedule is under preparation. Final timings, speakers, workshop titles, and technical session tracks will be announced after paper review and confirmation.
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Day 1
12 February 2027 -
Day 2
13 February 2027
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Will soon be updated
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Will be updated
Registration Details Will Be Updated Soon
Registration categories, fees, payment details, workshop participation options, and important instructions for PIAIEA 2027 will be announced shortly.
Participants are requested to visit this page regularly for updates regarding author registration, student registration, delegate registration, workshop registration, and accommodation-related information.
Location & Venue
Join us in Bengaluru, India—the heart of innovation. A thriving Silicon City with world-class hotels, seamless transit, and a vibrant cultural scene.
Address
MSRIT Post, MSR Nagar, Mathikere, Bengaluru, India 560054
idealab@msrit.edu