HYBRID EVENT: You can participate in person at Newcastle, Australia or Virtually from your home or work
Scholars Forum Listener Registration

International Conference on Predictive Analytics using Machine Learning (ICPAML - 26)

21st - 22nd September 2026 Newcastle, Australia
Hybrid Access Invitation Support

Join researchers, academicians, professionals, and industry experts from around the world to exchange knowledge, engage in academic discussions, and advance solutions for a sustainable future.

Academic Participation Experience

Engage in high-quality sessions, gain insights from domain experts, and be part of meaningful academic discussions.

Official Invitation Letter Available

Registered listeners can request an official invitation letter after successful registration confirmation.

Benefits of Registering as Listener
Access to All Conference Sessions

Attend keynote, plenary and technical sessions across relevant tracks.

Networking Opportunities

Connect with global researchers, professionals and domain experts.

Certificate of Participation

Receive an official participation certificate after successful attendance.

Invitation Support

Request invitation letter support after confirmed registration.

Conference Materials

Access available abstracts, session resources and digital materials.

Expert Insights

Gain knowledge from leading speakers and field specialists.

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Standard Registration Closed
The deadline for Standard Participation has ended. Participants may continue with Virtual Registration to join the conference remotely.
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4 Terms & Condition
Conference Programme and Participation Policy:

The Organiser may create shared sessions for research themes spanning more than one discipline, enabling participants to exchange knowledge, build professional relationships, and identify new opportunities for academic cooperation.

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 [email protected]. 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 [email protected]

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Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 SDG 8 SDG 9 SDG 11 SDG 12 SDG 13 SDG 16
01 Advancements in Predictive Modeling Techniques
This track focuses on the latest methodologies in predictive modeling, emphasizing the integration of machine learning algorithms. Participants will explore innovative approaches to enhance the accuracy and reliability of forecasting models.
02 Feature Selection and Dimensionality Reduction
This session addresses the critical importance of feature selection and dimensionality reduction in machine learning applications. Attendees will discuss techniques that improve model performance and interpretability in predictive analytics.
03 Anomaly Detection in Complex Systems
This track delves into advanced methods for anomaly detection, particularly in engineering systems. Researchers will present novel algorithms and case studies that demonstrate the effectiveness of these techniques in real-world applications.
04 Time Series Analysis and Forecasting Models
Focusing on time series prediction, this session will cover various forecasting models and their applications in engineering. Participants will engage in discussions on the challenges and solutions in modeling temporal data.
05 Supervised vs. Unsupervised Learning Approaches
This track examines the distinctions and applications of supervised and unsupervised learning in predictive analytics. Experts will share insights on when to apply each approach for optimal results in engineering contexts.
06 Ensemble Learning Techniques for Enhanced Predictions
This session highlights the power of ensemble learning methods in improving predictive accuracy. Participants will explore various ensemble techniques and their effectiveness in diverse engineering problems.
07 Deep Learning Applications in Predictive Analytics
Focusing on deep learning, this track investigates its transformative impact on predictive analytics within engineering. Attendees will learn about cutting-edge neural network architectures and their applications in various domains.
08 Model Evaluation and Performance Metrics
This session emphasizes the importance of model evaluation and the selection of appropriate performance metrics. Participants will discuss best practices for assessing the effectiveness of predictive models in engineering applications.
09 Real-Time Analytics for Decision Support Systems
This track explores the integration of real-time analytics in decision support systems, focusing on the role of machine learning. Researchers will present case studies demonstrating the impact of timely data on engineering decisions.
10 Predictive Maintenance Strategies Using Machine Learning
This session investigates the application of machine learning techniques in predictive maintenance strategies. Participants will discuss how predictive analytics can enhance equipment reliability and reduce downtime in engineering environments.
11 Risk Prediction and Management in Engineering Projects
Focusing on risk prediction, this track addresses the application of machine learning in identifying and managing risks in engineering projects. Experts will share methodologies for effective risk assessment and mitigation strategies.