ICAISE · Registering as Listener

International Conference on Artificial Intelligence and Software Engineering

📅 26–27 Mar 2027 📍 Malaga, Spain 👤 Standard / Listener

Listener registration from

$165

virtual · $165 in person

Registration benefits

✉

Official invitation letterIssued automatically after registration

📜

Certificate & digital materialsCertificate, slides and resource materials

🌐

Supporting global researchConnect with researchers across 30+ countries

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

For Support Please Contact

[email protected]

Select registration mode

Prices are shown before tax and bank charges — no surprises at checkout.

Standard $165 On-site keynotes, talks, workshops, networking, conference kit and certificate. SelectedSelect Virtual $125 Live streaming access to all sessions, digital materials and certificate. SelectedSelect

All sessionsNetworkingCertificateInvitation letterConference kit

Your details

We only need what's required to register and email your confirmation. Everything else is optional.

Name:

Email address:

Phone Number

City

State

Country

Zip / Postal code

Address

Coupon code

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

Coupon Code(If Any)

Apply

I agree to the Terms & Conditions and Refund & Cancellation Policy.

VISAMastercardAmexPayPal

Payments encrypted & processed securely. Refundable up to 14 days before the event.

Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest developments in machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques. Researchers are invited to present novel approaches and applications that enhance the efficiency and effectiveness of machine learning in various domains.

This session aims to explore best practices in software engineering, covering topics such as requirement analysis, software design, and project management. Contributions that highlight innovative methodologies and frameworks for improving software development processes are encouraged.

This track investigates the integration of artificial intelligence techniques in real-time systems, focusing on applications in control systems and decision-making processes. Papers that discuss challenges and solutions in implementing AI for real-time applications are particularly welcome.

This session delves into the design and implementation of multi-agent systems, emphasizing their applications in complex problem-solving scenarios. Researchers are invited to share insights on agent communication, coordination, and the impact of these systems in various fields.

This track explores the theoretical foundations and practical applications of fuzzy systems in engineering and technology. Contributions that demonstrate the utility of fuzzy logic in decision-making, control systems, and data analysis are encouraged.

This session focuses on the intersection of computational neuroscience and cognitive science, highlighting models that simulate brain functions and cognitive processes. Papers that present novel computational approaches to understanding neural mechanisms are welcome.

This track addresses advancements in distributed and parallel computing paradigms, including cloud, grid, and cluster computing. Researchers are invited to discuss innovative techniques that enhance performance and scalability in computational tasks.

This session examines the role of human-computer interaction in the software engineering lifecycle, focusing on user experience design and usability testing. Contributions that explore methodologies for improving user engagement and satisfaction are encouraged.

This track highlights advancements in image processing and pattern recognition, emphasizing algorithms and applications in various fields such as healthcare and security. Researchers are invited to present novel techniques that improve accuracy and efficiency in image analysis.

This session focuses on the use of simulation and modeling techniques in engineering applications, covering both theoretical and practical aspects. Contributions that demonstrate the effectiveness of simulation in solving complex engineering problems are encouraged.

This track explores the synergy between neural networks and genetic algorithms, focusing on their applications in optimization and problem-solving. Researchers are invited to present innovative approaches that leverage these techniques for enhanced performance in various domains.