Call Us : 61 485859714 Mail Us : [email protected]
Research Library | Articles Magnifier | Articles Identifier | Conference Gallery | Venue
ICAML · Registering as Listener

International Conference on AI and Machine Learning for Big Data Analytics

30th Nov – 1st Dec 2026 Melbourne, Australia Standard / Physical Participation
Listener Registration From
$200
standard · $200
Registration Benefits:
Official invitation letterIssued automatically after registration
Certificate & digital materialsGet certificate, slides and resources
Supporting global researchConnect with researchers across 30+ countries

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.
All sessions Networking Certificate Invitation letter Conference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

For Support Please Contact

[email protected]

Coupon code

Have a code? Apply it here — the discount updates the total immediately.
Apply

Terms & Conditions

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.

➤ If a participant is unable to attend the conference due to personal reasons and cancels within 30 days of the event, the registration fee is non-refundable. However, the paid fee will be retained as a credit, allowing participation in any of EFSTM’s international conferences within one year from the date of registration.

➤ Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another EFSTM conference.

➤ If the conference format is changed from in-person to virtual, refunds will not be provided.

➤ A basic cancellation charge of 50 USD will be deducted from all refunds.

➤ Virtual registration refunds are not applicable, but credit will be issued for future conferences.

➤ If the organizer cancels the event, 100% credit will be issued for future conferences within one year. The registrant must provide the next conference details within 6 months.


2. Participation & Registration Requirements:

➤ To attend an EFSTM event, participants must complete the registration process within the stipulated time.

➤ If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.

➤ The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.

➤ EFSTM 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.

➤ Registrations with concessions are not refundable.

➤ Registrants must contact the team for updates after registration. Failure to do so may invalidate registration.

➤ Failure to respond to communications within 15 days or submit the registration form within 7 days will invalidate registration.


3. Submission & Publication Norms:

➤ Researchers submitting papers to EFSTM 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; EFSTM 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 EFSTM publication.

➤ All Authors and Co-authors must inform their respective Dept. Head/Principal/Guide about the paper submission.

➤ All papers will undergo review by two internal or external reviewers.

➤ Only registered papers will be published.

➤ Suspended papers will not be republished or distributed.


4. Travel & Accommodation Responsibilities:

➤ Attendees are responsible for making their own travel and lodging arrangements.

➤ EFSTM does not provide logistical assistance for travel or accommodation.

➤ The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.

➤ No refunds will be provided due to travel or accommodation unavailability.

➤ Registration fees do not include travel or accommodation.


5. Visa & Invitation Letter Policy:

➤ EFSTM does not engage directly with consulates or embassies on behalf of attendees.

➤ Participants must handle their own visa applications and processes.

➤ 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.

➤ EFSTM 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.

➤ If the delegate receives the conference invitation letter but cannot attend the conference, no refund will be provided.

➤ Registrations made near or after the registration deadline will be considered for virtual participation, with eligibility for a future conference.


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.

➤ If the invitation letter is received, transfer must be completed within 7 days or 20 days prior to the conference.

➤ If there is a change in the conference, the registrant must inform the team at least 25 days prior to the conference date.

➤ Fully paid registrations are transferable to others from the same organization.

➤ Registration can be transferred to another conference within one year.


7. General Considerations:

➤ Any modifications or cancellations must be communicated in writing to [email protected]

➤ Registration confirms acknowledgment and acceptance of these policies.

➤ EFSTM 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:

➤ To facilitate a diverse and coherent programme, the Organiser may integrate related research subjects across disciplines into interdisciplinary or multidisciplinary sessions focused on wider learning, academic discussion, and research networking.

I agree to the Terms & Conditions and Refund & Cancellation Policy of the website https://efstm.com/
VISA Mastercard Net Banking UPI
Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceICAML
ModeStandard / Physical
ParticipationListener
Registration fee$200.00
Bank charges (5.8%)$11.60
Total payable $211.60
Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:
[email protected]

Benefits of Registering as Listener

Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• CONFERENCE SESSION TRACKS •
EFSTM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
SDG Wheel

SDG-Aligned Research Themes

This conference aligns its research sessions with the United Nations Sustainable Development Goals.

SDG 3 SDG 8 SDG 9 SDG 10 SDG 11 SDG 12 SDG 13 SDG 16
01 Advancements in Machine Learning Algorithms

This track focuses on the latest developments in machine learning algorithms tailored for big data analytics. Researchers are encouraged to present novel approaches that enhance the efficiency and accuracy of predictive modeling.

02 Distributed Computing for Big Data Processing

This session explores the role of distributed computing frameworks, such as Hadoop and Spark, in managing and processing large-scale datasets. Contributions should highlight innovative techniques that optimize resource utilization and performance.

03 Real-Time Analytics and Decision Making

This track addresses the challenges and solutions in real-time data analytics for immediate decision-making processes. Papers should discuss methodologies that enable timely insights from streaming data.

04 Deep Learning Techniques for Big Data

This session invites research on the application of deep learning models to large-scale data sets. Submissions should focus on architectural innovations and their impact on data-driven insights and predictions.

05 Cloud-Based Analytics Solutions

This track examines the integration of cloud computing with big data analytics to provide scalable and flexible solutions. Researchers are encouraged to present case studies and frameworks that leverage cloud resources for enhanced data processing.

06 Anomaly Detection in Large Datasets

This session focuses on methodologies for detecting anomalies within vast data environments. Contributions should detail novel algorithms and their applications in various domains, including finance, healthcare, and cybersecurity.

07 Feature Engineering for Enhanced Model Performance

This track emphasizes the importance of feature engineering in improving machine learning model outcomes. Papers should present innovative techniques for feature selection, extraction, and transformation in the context of big data.

08 Scalable AI Solutions for Industry Applications

This session explores the deployment of scalable AI solutions across various industries leveraging big data. Researchers are invited to share insights on practical implementations and the impact of AI on operational efficiency.

09 High-Performance Computing in Data Science

This track investigates the utilization of high-performance computing resources to accelerate data science workflows. Contributions should focus on benchmarking and optimizing algorithms for performance improvements.

10 Ethics and Governance in AI and Big Data

This session addresses the ethical considerations and governance frameworks surrounding the use of AI and big data analytics. Papers should explore the implications of data privacy, bias, and accountability in AI systems.

11 Innovative Applications of AI in Engineering

This track highlights the transformative role of AI technologies in engineering disciplines. Researchers are encouraged to present case studies that demonstrate the application of AI in solving complex engineering problems.

EFSTM
[email protected]

COPYRIGHT © EFSTM. ALL RIGHTS RESERVED