info@asar.net.in CALL: +61 485859714
Research Pedia Academic Research Library Registration Paper Submission
** Important Advisory: If you receive payment requests from unofficial emails or phone numbers, please verify with us at info@asar.net.in before making any payment.
ICTLDS · Registering as Author / Presenter

International Conference on Transfer Learning and Data Science

1st Sep – 2nd Sep 2026 Geneva, Switzerland Standard / Author / Presenter Participation
Author / Presenter Registration
$179
virtual · $259 in person
Registration Benefits:

Official invitation letter

Issued automatically after registration

Certificate & digital materials

Get certificate, slides and resource materials

Supporting global research

Connect with researchers across 30+ countries

info@asar.net.in

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.

Coupon code

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

Apply

Try LIMITED10 for 10% off — applied instantly at checkout.

Rules and Regulations (Read Carefully before registration)
1.1 For paper Submission and Publication in ASAR Conferences:
  1. All Authors and Co-authors must inform their respective Dept. Head/Principal/Guide about the paper submission of papers into ASAR Conferences.
  2. ASAR accepts each paper for conference after doing the review by two internal or external ASAR Reviewers.
  3. ASAR never publishes any unregistered paper.
  4. ASAR is not responsible for identifying the original author or co-author of the paper. The person who submits the paper will be taken as the original author of the paper.
  5. In any case if ASAR receives the complaint about the originality of the author and it is found to be true the paper will be suspended from the publication immediately.
  6. ASAR can’t republish or distribute any suspended paper from the date of suspension.
1.2 Attending ASAR International Conferences:
  1. All participants should register before coming to the conference by paying the specified amount mentioned at the registration menu on the website.
  2. The Organizer has all the rights to change the venue and date at any time before the conference at any time. If the organizing Committee decides to change the venue and Date of Event, all delegates will get the information via their registered email ID.
  3. ASAR will be not responsible for any kind of financial loss due to any ticket cancellation or any bookings of the registered participants if the conference gets format change from physical to virtual or rescheduled to another place or date at any time.
  4. If at any time the author does not want to attain the conference and cancel the registration then no money will be refunded.
  5. ASAR has all rights reserved, not to refund any money to the registered author or co- author who attended the conference and accepts the publication/ certificate during or after the conference at any time.
  6. If the Author is unable to attend the conference for any personal reason,then the co-Authors should attend the conference. No refund will be encouraged.
1.3 Cancellation & Refund Policy:
  1. Registration Cancellation will be accepted if the registrant/ participant did not receive the official invitation letter. If the registrant/ participant receives the official invitation letter then the registrant/ participant is not eligible to claim refund.
  2. A full refund is applicable only if the registrant/ participant requests for a refund before 70 days from the conference date and the cancellation form needs to be submitted before 60 days from the conference date.
  3. If the cancellation request is raised in 30 days or less than 30 days from the conference date, then the registrant/ participant is not eligible for a refund. However, the registrant/ participant will receive a credit for the fee and the credit will be valid for a period of one year from the time of their registration.
  4. If the cancellation request is raised between 60-30 days from the conference date, the registrant/ participant will be eligible for a partial refund from the registration fee received. Charges will be included in case if the registrant/ participant received any document from the organization.
  5. If the registrant/ participant completed the registration less than 30 days from the conference date, no refund will be applicable. They will have only the conference switch option, since the registration fee will be valid for one year, the registrant/ participant can use the credit and choose any other international conference within the one-year period.
  6. If the registered participant cannot attend the conference for any personal reason, 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.
  7. If the conferences are scheduled in a hybrid format the organizer has all the rights to conduct the conference in physical or virtual format. The refund is not applicable for the format changes.
  8. Virtual Participation registrations are non-refundable
1.4 Travel and Accommodation Responsibilities:
  1. ASAR will never take responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, and lies solely with the individual participant.
  2. 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.
  3. The registration fees paid by the registrant/ participant does not include any travel and accommodation charges.
1.5 Transfer of registration:
  1. All fully paid registrations are transferable to other persons from the same organization/Institution if the registered person is unable to attend the event. Registration form should be submitted.
  2. Transfers must be made by the registered person in writing to info@asar.net.in. Details must be submitted through the registration form at the earliest with reference to the previous registration details and attested by the cardholder signature for the transformation confirmation.
  3. 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.
  4. 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.
1.6 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.

For participants who register close to the conference date or after the registration deadline mentioned in Important dates, your 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

**To be Noted:

  1. All cancellations or modifications of registration must be made in writing to info@asar.net.in
  2. All the participants are aware of these terms and conditions before completing the conference fee transaction and registration completion.
  3. We do not initiate any auto debit. All the transactions are completed by the participants on their own with their interest only after reviewing the terms and conditions of the ASAR organization.
  4. After completion of the registration the participant/ registrant needs to submit the conference registration form within 3 days from the date of registration completion. The registration form will be available on the event page. If the participant/ registrant did not submit the registration form, the participant for the event will not be confirmed.
  5. Please do not book your travel arrangements until you receive the official conference program details. These details will be sent via email 15 days before the conference date.
VISA MC AMEX PayPal
Payments encrypted & processed securely. Refundable up to 14 days before the event.

Registration summary

ConferenceICTLDS
ModeStandard / Physical
ParticipationAuthor / Presenter
Registration fee$259.00
Bank charges (5.8%)$15.02
Total payable $
Includes all bank processing charges — the amount above is exactly what will be charged.

Need help?

Contact our registration team:

+61 485859714
info@asar.net.in

Benefits of Registering as Author / Presenter

Access to Conference Sessions

Networking Opportunities

Certificate of Participation

Invitation Letter Support

Conference Kit / Materials

Access to Keynote Sessions

Conference Session Tracks

Sustainable Development Goals

SDG-Aligned Research Themes

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

SDG 4: Quality Education SDG 8: Decent Work and Economic Growth SDG 9: Industry, Innovation and Infrastructure SDG 10: Reduced Inequalities SDG 11: Sustainable Cities and Communities SDG 12: Responsible Consumption and Production
01 Advancements in Transfer Learning Techniques +
This track focuses on the latest methodologies and innovations in transfer learning, including domain adaptation and fine-tuning techniques. Researchers are encouraged to present their findings on deep transfer learning and its implications for various applications.
02 Pre-trained Models in Data Science +
This session will explore the utilization of pre-trained models in data science, highlighting their effectiveness in improving model performance. Contributions that discuss the challenges and benefits of using these models in real-world scenarios are particularly welcome.
03 Cross-Domain Learning Strategies +
This track aims to investigate strategies for cross-domain learning, emphasizing the importance of knowledge transfer across different domains. Papers that present novel approaches or case studies demonstrating successful cross-domain applications are encouraged.
04 Few-Shot and Zero-Shot Learning Paradigms +
This session will delve into few-shot and zero-shot learning paradigms, examining their potential to enhance model generalization in data-scarce environments. Submissions should focus on innovative techniques and their applications in various engineering fields.
05 Multi-Task Learning Approaches +
This track will cover multi-task learning approaches that leverage shared representations to improve performance across related tasks. Researchers are invited to share their insights on the effectiveness and challenges of implementing multi-task learning in practice.
06 Knowledge Transfer Mechanisms in AI +
This session focuses on the mechanisms of knowledge transfer in artificial intelligence, exploring how information can be effectively reused across different tasks. Contributions that discuss theoretical frameworks and practical applications are highly encouraged.
07 Feature Reuse Techniques in Machine Learning +
This track will examine feature reuse techniques in machine learning, emphasizing their role in enhancing model efficiency and accuracy. Papers that provide empirical evidence of feature reuse benefits in various applications are particularly welcome.
08 Representation Learning for Transfer Learning +
This session will focus on representation learning techniques that facilitate effective transfer learning. Researchers are invited to present novel approaches that enhance the quality of learned representations for improved model performance.
09 Applications of Transfer Learning in Engineering +
This track will highlight diverse applications of transfer learning within the engineering domain, showcasing real-world case studies and implementations. Contributions that demonstrate the impact of transfer learning on engineering challenges are encouraged.
10 Scalable Transfer Methods for Big Data +
This session will explore scalable transfer methods that address the challenges posed by big data in machine learning. Papers that propose innovative solutions for efficient data processing and model training are particularly welcome.
11 Model Generalization Techniques +
This track will investigate techniques aimed at improving model generalization in machine learning, focusing on strategies that enhance performance across unseen data. Researchers are encouraged to share their findings on effective generalization methods and their implications.