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International Conference on Statistical Inference in Machine Learning and AI (ICSIMLAI-27)

6th - 7th April 2027 Sharjah, 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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Participate in structured academic sessions, expert discussions, and professional knowledge-sharing opportunities.

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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.

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Request official invitation letter support after confirmed registration.

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4 Terms & Condition
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 3 SDG 4 SDG 9 SDG 11 SDG 12
01 Advancements in Statistical Inference
This track focuses on the latest methodologies in statistical inference, emphasizing both theoretical developments and practical applications. Researchers are encouraged to present innovative approaches that enhance the understanding of uncertainty in data analysis.
02 Machine Learning Algorithms and Their Statistical Foundations
This session will explore the statistical principles underpinning various machine learning algorithms, including regression, classification, and clustering techniques. Contributions that bridge the gap between statistical theory and machine learning practice are particularly welcome.
03 Bayesian Methods in Data Science
This track is dedicated to the application of Bayesian methods in data science, highlighting their advantages in handling uncertainty and incorporating prior knowledge. Papers that demonstrate innovative Bayesian approaches in real-world scenarios are encouraged.
04 Predictive Modeling Techniques
This session will delve into the development and evaluation of predictive modeling techniques across various domains. Participants are invited to share their insights on model selection, validation, and performance metrics.
05 Computational Statistics and Big Data
This track addresses the challenges and solutions in computational statistics when dealing with big data. Contributions that showcase efficient algorithms and computational techniques for large-scale data analysis are highly sought after.
06 Neural Networks: Statistical Perspectives
This session will examine the statistical underpinnings of neural networks, focusing on their interpretability and performance evaluation. Researchers are encouraged to present studies that integrate statistical theory with neural network applications.
07 Optimization Techniques in Statistical Modeling
This track will explore optimization techniques that enhance statistical modeling, including parameter estimation and model fitting. Papers that propose novel optimization algorithms or frameworks are particularly welcome.
08 Simulation Methods in Statistical Inference
This session focuses on the role of simulation methods in statistical inference, including Monte Carlo and bootstrap techniques. Contributions that illustrate the application of these methods in complex data scenarios are encouraged.
09 Quantitative Methods in AI Applications
This track highlights the application of quantitative methods in artificial intelligence, emphasizing statistical techniques that improve AI model performance. Researchers are invited to share case studies and empirical findings that demonstrate these applications.
10 Clustering Techniques and Their Statistical Implications
This session will investigate various clustering techniques and their statistical implications, focusing on both traditional and modern methods. Contributions that address the challenges of clustering in high-dimensional data are particularly encouraged.
11 Interdisciplinary Applications of Statistical Inference
This track aims to showcase interdisciplinary applications of statistical inference across diverse fields such as healthcare, finance, and social sciences. Papers that highlight collaborative research and innovative applications are highly encouraged.