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International Conference on Deep Learning and Data Science Techniques (ICDLDT-26)

1st - 2nd October 2026 Dubai, UAE
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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Professional Academic Experience

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

Official Invitation Letter Available

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

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.

Certificate of Participation

Receive an official participation certificate after successful attendance.

Invitation Letter Support

Request official invitation letter support after confirmed registration.

Conference Materials

Access available session resources, proceedings and digital materials.

Professional Insights

Gain practical and research-oriented insights from expert discussions.

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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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Conference Programme and Participation Policy:

The Organiser may integrate aligned research topics, academic fields, and relevant SDGs into interdisciplinary or multidisciplinary sessions to facilitate meaningful discussion, cross-sector perspectives, and future research 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 8 SDG 9 SDG 11 SDG 12
01 Advancements in Deep Learning Techniques
This track focuses on the latest developments in deep learning methodologies, emphasizing novel architectures and optimization strategies. Researchers are encouraged to present their findings on how these advancements can enhance various applications in engineering.
02 Artificial Intelligence Applications in Data Science
This session explores the integration of artificial intelligence techniques within data science frameworks. Papers addressing practical implementations and case studies that demonstrate AI's impact on data-driven decision-making are particularly welcome.
03 Convolutional Neural Networks in Engineering
This track delves into the application of convolutional neural networks (CNNs) in engineering disciplines, particularly in image and signal processing. Contributions that showcase innovative uses of CNNs for solving complex engineering problems are encouraged.
04 Recurrent Neural Networks for Time-Series Analysis
This session highlights the utilization of recurrent neural networks (RNNs) for analyzing time-series data in engineering contexts. Researchers are invited to share insights on the effectiveness of RNNs in forecasting and anomaly detection.
05 Generative Adversarial Networks in Data Generation
This track examines the role of generative adversarial networks (GANs) in creating synthetic data for various engineering applications. Papers that discuss the challenges and successes of GANs in data augmentation and simulation are encouraged.
06 Unsupervised Feature Learning Techniques
This session focuses on unsupervised learning methods for feature extraction and representation in complex datasets. Contributions that demonstrate the effectiveness of these techniques in enhancing model performance are highly sought after.
07 Transfer Learning in Engineering Applications
This track investigates the application of transfer learning techniques to improve model performance in engineering tasks. Researchers are invited to present studies that illustrate the benefits of leveraging pre-trained models in specific domains.
08 Reinforcement Learning for Optimization Problems
This session explores the application of reinforcement learning algorithms to solve optimization challenges in engineering. Papers that present novel approaches and real-world applications of reinforcement learning are particularly welcome.
09 Predictive Analytics in Engineering Systems
This track focuses on the use of predictive analytics techniques to enhance decision-making in engineering systems. Contributions that showcase the integration of machine learning models for predictive maintenance and system optimization are encouraged.
10 Computer Vision Techniques in Engineering
This session highlights the application of computer vision technologies in various engineering fields. Researchers are invited to present innovative solutions that leverage computer vision for automation, inspection, and analysis.
11 Natural Language Processing in Engineering Contexts
This track explores the application of natural language processing (NLP) techniques in engineering-related tasks. Papers that discuss the use of NLP for technical documentation, sentiment analysis, and communication enhancement are welcome.