International Conference on Mathematical Modeling in Artificial Intelligence

ICMMAI

5th Jan – 6th Jan 2027 Ipoh, Malaysia

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICMMAI

Date 5th Jan – 6th Jan 2027

Location Ipoh, Malaysia

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Foundations of Mathematical Modeling in AI +

This track focuses on the theoretical underpinnings of mathematical modeling as applied to artificial intelligence. It aims to explore the mathematical principles that drive the development of intelligent systems.

SDG 4 SDG 9

02 Machine Learning Algorithms and Mathematical Techniques +

This session will delve into the integration of mathematical techniques with machine learning algorithms. Participants are encouraged to present innovative approaches that enhance the performance and interpretability of these algorithms.

SDG 8 SDG 9

03 Neural Networks: Mathematical Perspectives +

This track examines the mathematical foundations of neural networks, including their architecture and training methodologies. It seeks contributions that highlight novel mathematical insights into neural network design and optimization.

SDG 4 SDG 9

04 Simulation Techniques in Intelligent Systems +

This session emphasizes the role of simulation in the development and evaluation of intelligent systems. Papers that present new simulation methodologies or case studies demonstrating their application are particularly welcome.

SDG 9 SDG 11

05 Fuzzy Logic and Its Applications in AI +

This track explores the application of fuzzy logic in artificial intelligence, focusing on its mathematical formulation and practical implementations. Contributions that demonstrate the effectiveness of fuzzy logic in real-world AI scenarios are encouraged.

SDG 4 SDG 9

06 Applied Mathematics in AI Development +

This session highlights the role of applied mathematics in the advancement of artificial intelligence technologies. Papers that showcase real-world applications of mathematical methods in AI are particularly sought after.

SDG 8 SDG 9

07 Deep Learning: Mathematical Models and Frameworks +

This track investigates the mathematical models that underpin deep learning frameworks. Submissions that propose new mathematical approaches to improve deep learning performance are highly encouraged.

SDG 4 SDG 9

08 Optimization Techniques for AI Systems +

This session focuses on optimization methods that enhance the efficiency and effectiveness of AI systems. Contributions that present novel optimization algorithms or applications in AI contexts are welcome.

SDG 8 SDG 9

09 Computational Models in Data-Driven AI +

This track examines the role of computational models in the development of data-driven artificial intelligence. Papers that illustrate the interplay between computational modeling and AI applications are encouraged.

SDG 4 SDG 9

10 Knowledge Representation in Intelligent Systems +

This session explores mathematical approaches to knowledge representation in intelligent systems. Contributions that address challenges and advancements in this area are particularly valued.

SDG 4 SDG 9

11 Predictive Analytics: Mathematical Insights and Innovations +

This track focuses on the mathematical foundations of predictive analytics within the context of artificial intelligence. Papers that present innovative mathematical models for predictive analytics applications are encouraged.

SDG 4 SDG 9