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International Conference on Materials Engineering and Intelligent Data Mining

28–29 Aug 2026 Kitakyushu, Japan Standard / Physical Participation
Listener Registration
$179
virtual · $269 in person
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View full Refund, Cancellation & Terms policy
Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to info@iarfconference.com. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to info@iarfconference.com

Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the conference.

This track focuses on innovative methods for characterizing materials at various scales. Emphasis will be placed on the integration of data mining techniques to enhance the accuracy and efficiency of material analysis.
This session will explore the application of predictive modeling techniques to forecast material behavior and performance. Participants will discuss the role of machine learning and statistical methods in advancing predictive capabilities.
This track addresses the methodologies for conducting failure analysis in materials and structures. The focus will be on utilizing data mining approaches to identify failure patterns and improve reliability.
This session will delve into strategies for optimizing manufacturing processes through data-driven approaches. Discussions will include the application of intelligent data mining techniques to enhance efficiency and reduce costs.
This track will cover advancements in computational methods for materials science, including simulations and modeling. Participants will explore how data mining can facilitate the interpretation of simulation results.
This session focuses on the use of analytics in predicting material properties based on compositional and structural data. The integration of data mining techniques will be highlighted to improve predictive accuracy.
This track will examine the role of machine learning in the design and discovery of new materials. Participants will discuss case studies where intelligent data mining has accelerated material innovation.
This session will explore how data mining can contribute to the development of sustainable materials and processes. Emphasis will be placed on lifecycle analysis and eco-friendly material design.
This track will address the challenges and opportunities presented by big data in the field of materials engineering. Discussions will focus on data management, analysis techniques, and collaborative research efforts.
This session will highlight the latest trends and innovations in data mining techniques applicable to materials engineering. Participants will share insights on future directions and potential breakthroughs in the field.
This track will explore the intersection of materials engineering with other disciplines, such as computer science and physics. The focus will be on collaborative approaches that leverage data mining for enhanced material performance.