Background

The 2024 Conference on
Applications of Technology, Automation
and Civil Engineering

ATAC 2024

Saigon Technology University and AIoT Lab VN

Date:  23 November,  2024

Ho Chi Minh City, Vietnam

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About the conference

Welcome to ATAC 2024 - The 2024 Conference on Applications of Technology, Automation, and Civil Engineering. This conference is designed specifically for Undergraduate, Graduate, and PhD Students, Young Scientists offering a unique platform for aspiring engineers and technologists to share their innovations and research findings. Scheduled for November 23, 2024, ATAC 2024 aims to foster collaboration, knowledge exchange, and skill development in the fields of Information Technology, Machines, Automation, and Civil Engineering. Join us as we explore the future of these disciplines and contribute to shaping the world of tomorrow.

Accepted papers will be published in a conference proceeding with ISBN. In addition, top papers from ATAC 2024 will be extended for publication in The Journal of Data Science and Artificial Intelligence (JDSAI), ISSN 2831-4794. This peer-reviewed journal focuses on Data Science, Deep Learning, and Machine Learning, providing a platform for global research dissemination. More details can be found here.

Important Dates
Deadline for Full paper submissions (Extended)
Acceptance / Rejection Notification
Deadline for registration
Conference Date

Tracks

  • Artificial Intelligence (AI) and Machine Learning (ML)

  • Deep Learning

  • Internet of Things (IoT) and Smart Systems

  • Big Data

  • Robotics, Intelligent Equipment, and Automation

  • Sustainable Machine Design

  • Civil Engineering

  • Construction Management

  • Information Technology

  • Electronics and Telecommunications Engineering

  • Mechatronics Engineering

Keynote Speaker

Assoc.Prof. Razvan Beuran

Assoc.Prof. Razvan Beuran

Information Technology

Applications of AI/ML to Cybersecurity

Dr. Huynh Vo Trung Dung

Dr. Huynh Vo Trung Dung

Electronics Engineering

The Synergy of Blockchain and AI in 6G Networks: Opportunities, Challenges, and Prospective Pathways.

Ms. Ta Thuy Trang

Ms. Ta Thuy Trang

Civil Engineering

Machine Learning Algorithms for Predicting Compressive Strength of Normal and High-Early Strength Concrete: A case Study in Binh Thuan, Viet Nam

ORGANIZERS & SPONSORS

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