+91 9344546233 [email protected] Physical / Digital Conference
ICDTML · Registering as Listener

International Conference on Digital Twins and Machine Learning

13–14 Jan 2027 Bayamon, Puerto Rico Standard / Physical Participation
Listener registration
$130
virtual · $155 in person

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Certificate of participation plus e-proceedings, slides and resource materials to keep.

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Connect with researchers across 30+ countries advancing Machine Learning.

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1. Paper Submission & Publication :

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2. Conference Attendance :

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  • The organizing committee reserves the right to change the venue, dates, or format (virtual/hybrid/in-person) at any time. Notifications will be sent via registered email.
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  • No refunds will be granted for participants who choose not to attend the conference after registration.
  • If the primary author cannot attend, a co-author may attend in their place. However, no refunds will be issued for non-attendance.

3. Cancellation & Refund Policy :

  • 3.1 Cancellation is only permitted before the issuance of an official invitation letter. Once issued, no refund is available.
  • Full refund: cancellations made at least 70 days before the conference, with a cancellation form submitted 60 days prior.
  • Partial refund: cancellations 60–30 days prior may incur administrative/documentation fees.
  • No refund: cancellations within 30 days of the event, though a credit voucher valid for one year may be issued for future participation.
  • If a participant is unable to attend the conference due to personal reasons, the registration fee is non-refundable. However, the paid amount will be credited toward attendance at any of our international conferences within one year from the original date of registration.
  • As the conference will be held in a 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 registrations are non-refundable; participants may receive credit toward a future Researchfora event.

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  • If the registrant fails to respond to communications from Researchfora or its representatives for a period of more than 15 days after registration, the registration will be considered invalid, and refunds will not apply.
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5. Travel and Accommodation :

  • Participants are fully responsible for travel, transport, and accommodation arrangements.
  • Researchfora will not compensate for losses due to changes in event formats or schedules.
  • Registration fees do not cover travel or accommodation.

6. Transfer of Registration :

  • A paid registration may be transferred to another individual from the same institution, pending approval. Requests must be submitted via email with authorization and updated registration details.
  • Transfers must be completed at least 14 days before the event start date.
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8. Important Notes :

  • All changes, cancellations, and transfer requests must be submitted in writing to: [email protected]
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  • Completed registration forms must be submitted within 3 days of payment.
  • Official conference programs and schedules will be emailed at least 15 days prior to the event—do not make travel bookings before receiving this confirmation.
  • In hybrid-format events, any registrations received after the deadline will be processed as virtual-only. All registrations include access to one additional Researchfora conference, depending on your registration category.

9. Conference Programme and Participation Policy :

  • To enhance the academic value of the event, the Organiser may combine research contributions from multiple disciplines and relevant SDG areas in interdisciplinary or multidisciplinary sessions that foster learning, connections, and cooperation.

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What you'll hear about

Session tracks covered across the event.

View all 11 tracks →
This track focuses on the latest developments in digital twin technologies and their applications in various engineering fields. Participants will explore innovative approaches to creating and managing virtual replicas of physical systems.
This session will delve into advanced machine learning techniques that enhance predictive modeling capabilities. Researchers will present methodologies that improve accuracy and efficiency in forecasting outcomes in engineering applications.
This track emphasizes the integration of simulation and analytics in engineering processes. Attendees will discuss how these tools can optimize design and operational efficiency through data-driven insights.
This session will explore the use of supervised and unsupervised learning techniques in industrial contexts. Papers will highlight case studies and methodologies that demonstrate the effectiveness of these approaches in real-world scenarios.
This track investigates the application of deep learning algorithms for detecting anomalies in complex systems. Participants will share findings on how these techniques can enhance system reliability and safety.
This session focuses on the critical role of feature extraction and data preprocessing in machine learning workflows. Researchers will present innovative strategies for improving data quality and model performance.
This track examines the challenges and solutions associated with real-time monitoring and resource allocation in engineering systems. Discussions will center on leveraging machine learning for optimizing resource utilization.
This session will highlight AI-driven approaches to predictive maintenance in industrial settings. Participants will share insights on how machine learning can reduce downtime and improve asset management.
This track explores the synergy between industrial IoT and digital twins for enhanced system performance. Presentations will cover frameworks and case studies demonstrating successful integration.
This session will focus on scenario analysis and adaptive modeling techniques in engineering applications. Researchers will discuss methodologies that allow for dynamic adjustments based on real-time data.
This track investigates the role of intelligent simulations powered by AI in engineering decision-making processes. Participants will present research on how these simulations can provide actionable insights for complex systems.
What's Included

Benefits of Registering as Listener

Access to Conference Sessions

Attend keynote, plenary and parallel sessions.

Networking Opportunities

Connect with researchers, educators and scholars.

Certificate of Participation

Receive a digital certificate after participation.

Invitation Letter Support

Official letter support after confirmed registration.

Conference Kit / Materials

E-proceedings and conference resource materials.

Access to Keynote Sessions

Learn from leading experts across event themes.