HYBRID EVENT: You can participate in person at Macapa, Brazil or Virtually from your home or work
Scholars Forum Listener Registration

International Conference on Industry 4.0 and Artificial Intelligence in Manufacturing (ICIAIM - 27)

5th - 6th May 2027 Macapa, Brazil
Hybrid Access Invitation Support

Join researchers, academicians, professionals, and industry experts from around the world to exchange knowledge, engage in academic discussions, and advance solutions for a sustainable future.

Academic Participation Experience

Engage in high-quality sessions, gain insights from domain experts, and be part of meaningful academic discussions.

Official Invitation Letter Available

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

Benefits of Registering as Listener
Access to All Conference Sessions

Attend keynote, plenary and technical sessions across relevant tracks.

Networking Opportunities

Connect with global researchers, professionals and domain experts.

Certificate of Participation

Receive an official participation certificate after successful attendance.

Invitation Support

Request invitation letter support after confirmed registration.

Conference Materials

Access available abstracts, session resources and digital materials.

Expert Insights

Gain knowledge from leading speakers and field specialists.

2 Participant Details
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4 Terms & Condition
Conference Programme and Participation Policy:

The Organiser may create shared sessions for research themes spanning more than one discipline, enabling participants to exchange knowledge, build professional relationships, and identify new opportunities for academic 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]

I agree and accept the Terms and Conditions of the website https://scholarsforum.net/

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 12 SDG 17
01 Machine Learning Techniques in Manufacturing
This track focuses on the application of machine learning algorithms to enhance manufacturing processes. Participants will explore innovative approaches to data-driven decision-making and process optimization.
02 Intelligent Systems for Smart Manufacturing
This session delves into the development and implementation of intelligent systems that facilitate smart manufacturing. Emphasis will be placed on the integration of AI technologies to improve operational efficiency.
03 Automation and Robotics in Industry 4.0
This track examines the role of automation and robotics in the context of Industry 4.0. Discussions will highlight advancements in robotic systems and their impact on production capabilities.
04 Predictive Analytics for Manufacturing Optimization
This session addresses the use of predictive analytics to enhance manufacturing performance. Participants will discuss methodologies for forecasting and mitigating operational risks.
05 AI Frameworks for Manufacturing Applications
This track explores various AI frameworks tailored for manufacturing applications. The focus will be on the design, implementation, and evaluation of these frameworks in real-world scenarios.
06 Data Analytics in Manufacturing Processes
This session highlights the significance of data analytics in optimizing manufacturing processes. Attendees will examine case studies showcasing successful data-driven initiatives.
07 Innovation Strategies in AI-Driven Manufacturing
This track investigates innovative strategies for integrating AI into manufacturing practices. Discussions will center on fostering a culture of innovation and continuous improvement.
08 Deep Learning Applications in Industrial Settings
This session focuses on the application of deep learning techniques within industrial environments. Participants will explore case studies that demonstrate the transformative potential of deep learning.
09 System Optimization through AI Technologies
This track examines the optimization of manufacturing systems through the application of AI technologies. Emphasis will be placed on methodologies that enhance system performance and reliability.
10 Challenges and Solutions in AI Implementation
This session addresses the challenges faced during the implementation of AI in manufacturing. Participants will discuss potential solutions and best practices for overcoming these obstacles.
11 Future Trends in AI and Industry 4.0
This track explores emerging trends and future directions in the intersection of AI and Industry 4.0. Discussions will focus on the implications of these trends for the manufacturing sector.