HYBRID EVENT: You Can Participate In Person At Verona, Italy Or Virtually From Your Home Or Work
ICADSL · Registering as Listener

International Conference on AI-driven Data Science and Machine Learning Applications

20–21 Aug 2026 Verona, Italy Standard / Physical Participation
Listener Registration
$169
virtual · $246 in person
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Supporting global researchConnect with researchers across 30+ countries

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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.
  • Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
  • Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
  • Since this conference is 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 registration fees are non-refundable. A credit will instead be issued for use at a future conference event.

2. Participation & Registration Requirements :

  • To attend an ISIT event, participants must complete the registration process within the stipulated time.
  • The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
  • ISIT 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.

3. Submission & Publication Norms :

  • Researchers submitting papers to ISIT 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; ISIT 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 ISIT publication.

4. Travel & Accommodation Responsibilities :

  • Attendees are responsible for making their own travel and lodging arrangements.
  • ISIT does not provide logistical assistance for travel or accommodation.
  • The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.

5. Visa & Invitation Letter Policy :

  • Attendees are responsible for making their own travel and lodging arrangements.
  • ISIT does not provide logistical assistance for travel or accommodation.
  • The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
  • ISIT does not engage directly with consulates or embassies on behalf of attendees.
  • Participants must handle their own visa applications and processes.
  • Important Information Regarding Invitation Letters:
    • 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.
    • ISIT holds no responsibility 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.

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 info@isit.org.in 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.

7. General Considerations :

  • Any modifications or cancellations must be communicated in writing to info@isit.org.in.
  • Registration confirms acknowledgment and acceptance of these policies.
  • ISIT 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.
Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the event.
View all 11 tracks →
This track focuses on the latest developments in supervised learning methodologies, emphasizing their applications in real-world engineering problems. Researchers are invited to present novel algorithms and case studies that demonstrate the effectiveness of these techniques.
This session will explore innovative unsupervised learning approaches that facilitate data exploration and pattern recognition in complex datasets. Contributions that highlight the integration of these methods in engineering contexts are particularly welcome.
This track aims to showcase cutting-edge deep learning architectures and their transformative impact on engineering applications. Papers discussing the design, implementation, and performance evaluation of these models are encouraged.
This session will delve into the utilization of neural networks for predictive analytics across various engineering domains. Researchers are invited to share insights on model optimization, accuracy improvements, and application case studies.
This track focuses on innovative data mining techniques that address the challenges posed by big data in engineering. Contributions that demonstrate the application of these techniques in solving complex engineering problems are highly encouraged.
This session will explore the application of reinforcement learning in optimizing engineering systems and processes. Papers that present novel algorithms and their practical implementations in real-world scenarios are sought.
This track will investigate the role of transfer learning in improving model performance across different engineering tasks. Researchers are invited to present methodologies that leverage pre-trained models for new applications.
This session will focus on the application of natural language processing techniques in engineering fields, such as document analysis and automated reporting. Contributions that highlight innovative applications and methodologies are encouraged.
This track aims to showcase advancements in computer vision technologies and their applications in engineering solutions. Researchers are invited to present novel approaches that enhance image analysis and interpretation in engineering tasks.
This session will address the ethical considerations and the importance of explainability in AI-driven engineering applications. Contributions that explore frameworks and methodologies for ensuring ethical AI practices are particularly welcome.
This track will explore the integration of AI and data science techniques into engineering workflows to enhance decision-making and efficiency. Papers that present case studies and frameworks for successful integration are encouraged.