• Home
  • Call for Paper

Call for Paper

The ICMMAI emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Mathematical Modeling are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Mathematical modeling in artificial intelligence
02
Applications of neural networks in modeling
03
Machine learning algorithms for modeling
04
Mathematical models of intelligent systems
05
Optimization techniques in AI modeling
06
Data-driven approaches in AI applications
07
Mathematical modeling of cognitive processes
08
Applications of AI in healthcare modeling
09
Mathematical models of robotic systems
10
AI-enhanced decision-making models
11
Mathematical modeling of natural language processing
12
Applications of AI in climate modeling
13
Mathematical models of machine learning systems
14
AI in predictive analytics and modeling
15
Mathematical modeling of computer vision systems
16
Applications of AI in financial modeling
17
Mathematical models of social media dynamics
18
AI-driven optimization in logistics modeling
19
Mathematical modeling of autonomous systems
20
Ethical considerations in AI modeling

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.