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AI-ARES 2026

1st International Conference on AI Algorithms for Renewable Energy Systems

Locations

  • U.S.A.(Offline): Columbia University
  • Online: Link to be provided by the organizer.

Conference Details

  • Dates: May 30, 2026
  • Mode: [Hybrid]

About the Conference
The 1st International Conference on AI Algorithms for Renewable Energy Systems focuses on the transformative role of artificial intelligence and computational algorithms in advancing renewable energy technologies. This conference provides a platform for researchers, engineers, and industry experts to explore innovative solutions for energy forecasting, grid optimization, storage management, and the development of intelligent energy networks.

Participants will engage in discussions on cutting-edge algorithms, data-driven models, and their applications in creating resilient, efficient, and sustainable energy systems.


Conference Agenda

Time Session Title Speaker/Moderator
08:30 – 09:00 Registration
09:00 – 09:30 Opening Remarks Welcome address
09:30 – 11:00 Keynote Address I Speaker: Dr. Sofia Saadi (Columbia University)
Topic: Advanced Computational Models for Sustainable Energy
11:00 – 11:30 Break
11:30 – 13:00 Keynote Address II Speaker: Dr. Muyang Ma (Shandong University)
Topic: Intelligent Recommendation Systems for Energy Distribution
13:00 – 14:00 Lunch Break
14:00 – 15:00 Q & A
15:00 – 15:30 Closing Remarks

Keynote Speakers

SOFIA SAADI

SOFIA SAADI

Title: Associate Professor
Major: Computer Science
Affiliation: Columbia University

Muyang Ma

Muyang Ma

Title: Doctor
Major: Computer Science, Information retrieval and recommendation systems
Affiliation: Shandong University

Editorial Team

Raza Syed Ali (University of Kent, Assistant Professor)

Nafeesa Mughal (Xi'an Jiaotong University, Phd)

Muhammad Waqasi (Xi' an Jiatong University, Assistant Professor)

QURAT UL AIN (Xi' an Jiatong University, Phd )

All submissions will be screened and peer-reviewed by the reviewers with MDs, PHDs, Doctors of Engineering and associate professors from the universities and research institutes worldwide.

The review process will be double-blind peer-review.