Hybrid Conferencee

International Conference on Application of Artificial Intelligence and Internet of Things on Management, Science and Technology (ICAAIITMST - 27)

15th - 16th March 2027 | Milan, Italy

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Milan. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Milan event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Milan conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Milan, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Milan."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Artificial Intelligence Algorithms

This track focuses on the latest developments in artificial intelligence algorithms, emphasizing their applications in various engineering fields. Researchers are invited to present novel approaches and case studies that demonstrate the effectiveness of these algorithms.

Track 02

IoT-Driven Smart Systems in Engineering

This session explores the integration of Internet of Things technologies in the development of smart systems for engineering applications. Papers should highlight innovative solutions that leverage IoT for enhanced efficiency and performance.

Track 03

Machine Learning Applications in Engineering Management

This track examines the role of machine learning in optimizing engineering management processes. Submissions should illustrate practical implementations and the impact of machine learning on decision-making and resource allocation.

Track 04

Cybersecurity Challenges in IoT Applications

This session addresses the critical cybersecurity issues associated with IoT applications in engineering. Contributions should focus on identifying vulnerabilities and proposing robust security frameworks to protect IoT systems.

Track 05

Big Data Analytics for Engineering Solutions

This track highlights the significance of big data analytics in solving complex engineering problems. Researchers are encouraged to present methodologies that utilize big data to drive innovation and improve operational efficiency.

Track 06

Software Development for AI-Enhanced Systems

This session focuses on the software engineering aspects of developing AI-enhanced systems. Papers should discuss best practices, tools, and frameworks that facilitate the integration of AI into software applications.

Track 07

Smart Manufacturing and Industry 4.0

This track delves into the role of AI and IoT in transforming manufacturing processes through Industry 4.0 principles. Submissions should explore case studies and technologies that exemplify smart manufacturing practices.

Track 08

Human-Computer Interaction in AI Systems

This session investigates the interface between humans and AI systems, focusing on improving user experience and interaction. Contributions should address design principles and usability studies that enhance the effectiveness of AI applications.

Track 09

Cloud Computing for IoT and AI Integration

This track examines the role of cloud computing in facilitating the integration of IoT and AI technologies. Papers should discuss architectures, services, and applications that leverage cloud resources for enhanced system performance.

Track 10

Ethical Considerations in AI and IoT Applications

This session addresses the ethical implications of deploying AI and IoT technologies in engineering. Contributions should explore frameworks and guidelines that ensure responsible and ethical use of these technologies.

Track 11

Future Trends in AI and IoT for Engineering

This track looks ahead to emerging trends in AI and IoT that will shape the future of engineering. Researchers are invited to speculate on technological advancements and their potential impact on various engineering disciplines.