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International Conference on Data Privacy and Big Data Systems (ICDPBDS-26)

25th - 26th August 2026 Bangkok, Thailand
Hybrid Access Invitation Support

Join researchers, academicians, professionals, and industry experts to exchange ideas, strengthen academic collaboration, and explore research-driven practices across diverse disciplines.

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Participate in structured academic sessions, expert discussions, and professional knowledge-sharing opportunities.

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Benefits of Registering as Listener
Access to Conference Sessions

Attend keynote, plenary and technical sessions across relevant academic tracks.

Academic Networking

Connect with researchers, professionals, academicians and industry specialists.

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Receive an official participation certificate after successful attendance.

Invitation Letter Support

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Conference Materials

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Professional Insights

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4 Terms & Condition
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 event@after.org.in. 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 event@after.org.in

I agree and accept the Terms and Conditions of the website www.after.org.in

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 9 SDG 16
01 Advancements in Data Privacy Technologies
This track focuses on the latest innovations in technologies aimed at enhancing data privacy. It will explore encryption methods, secure data sharing techniques, and privacy-preserving algorithms.
02 Big Data Governance and Compliance
This session will delve into frameworks and strategies for effective data governance in the context of big data. Discussions will include compliance with privacy regulations and the role of governance in risk management.
03 AI-Driven Privacy Solutions
This track examines the intersection of artificial intelligence and data privacy, highlighting AI-driven solutions for privacy compliance. It will cover machine learning techniques that enhance data protection and user privacy.
04 Predictive Analytics and Data Security
This session will explore the role of predictive analytics in enhancing data security measures. It will discuss how predictive models can identify vulnerabilities and mitigate risks in big data systems.
05 Intelligent Systems for Data Integration
This track focuses on the development of intelligent systems that facilitate seamless data integration while ensuring privacy. It will highlight techniques that balance data accessibility with security concerns.
06 Privacy Frameworks in Big Data Environments
This session will discuss the design and implementation of privacy frameworks tailored for big data environments. It will address challenges and best practices in maintaining data privacy across diverse systems.
07 Secure Systems Architecture for Big Data
This track will explore architectural approaches to building secure systems that handle big data. It will emphasize the importance of security design principles in safeguarding sensitive information.
08 Risk Management Strategies in Data Privacy
This session will focus on effective risk management strategies that address data privacy concerns in big data systems. It will cover methodologies for assessing and mitigating privacy risks.
09 Machine Learning for Enhanced Data Privacy
This track will investigate the application of machine learning techniques in enhancing data privacy. It will cover topics such as anomaly detection and privacy-preserving data mining.
10 Data Security in Cloud Computing Environments
This session will address the unique challenges of ensuring data security and privacy in cloud computing environments. It will explore strategies for protecting data in transit and at rest.
11 Ethical Considerations in Big Data and Privacy
This track will examine the ethical implications of big data practices on privacy. It will encourage discussions on responsible data usage and the societal impact of data-driven decisions.