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ICDMSIE · Registering as Listener
International Conference on Data Mining for Smart Infrastructure Engineering
24–25 Sep 2026
Phuket, Thailand
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155
virtual · $195 in person
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to
[email protected]
with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to
[email protected]
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Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
8. Conference Programme and Participation Policy :
Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Predictive Modeling Techniques in Smart Infrastructure
This track focuses on advanced predictive modeling methodologies tailored for smart infrastructure applications. Researchers are invited to present innovative approaches that enhance the reliability and efficiency of predictive analytics in engineering.
02
Sensor Analytics for Urban Systems
This session explores the integration of sensor data analytics in urban infrastructure management. Contributions should highlight novel techniques for extracting actionable insights from sensor data to optimize urban systems.
03
Optimization Strategies in Structural Health Monitoring
This track addresses optimization techniques specifically designed for structural health monitoring applications. Papers should discuss algorithms and frameworks that improve the accuracy and responsiveness of monitoring systems.
04
Workflow Analytics in Infrastructure Maintenance Planning
This session emphasizes the role of workflow analytics in enhancing maintenance planning for infrastructure projects. Participants are encouraged to share case studies and methodologies that streamline maintenance processes through data-driven insights.
05
IoT Integration for Enhanced Infrastructure Management
This track investigates the integration of Internet of Things (IoT) technologies in infrastructure management. Submissions should focus on innovative IoT applications that facilitate real-time monitoring and decision-making in engineering contexts.
06
Data Mining Techniques for Urban Infrastructure Optimization
This session aims to showcase data mining techniques that contribute to the optimization of urban infrastructure systems. Researchers are invited to present their findings on how data-driven strategies can enhance urban planning and resource allocation.
07
Machine Learning Applications in Structural Engineering
This track highlights the application of machine learning algorithms in various aspects of structural engineering. Papers should explore how these techniques can improve predictive accuracy and operational efficiency in infrastructure projects.
08
Real-time Analytics for Smart Infrastructure Systems
This session focuses on the development and implementation of real-time analytics solutions for smart infrastructure. Contributions should demonstrate how real-time data processing can enhance decision-making and operational performance.
09
Data-Driven Decision Making in Urban Systems
This track examines the role of data-driven decision-making processes in the management of urban systems. Participants are encouraged to present frameworks and case studies that illustrate the impact of data analytics on urban governance.
10
Innovations in Predictive Maintenance for Infrastructure
This session explores innovative approaches to predictive maintenance within the context of infrastructure engineering. Papers should focus on methodologies that utilize data mining and analytics to foresee maintenance needs and reduce downtime.
11
Challenges and Solutions in Smart Infrastructure Data Mining
This track addresses the challenges faced in data mining for smart infrastructure applications and proposes potential solutions. Researchers are invited to discuss barriers to effective data utilization and share best practices for overcoming these challenges.