The
AI, Computer Vision, and Smart Technologies Conference 2025 (Hybrid Mode) is a
premier international event that brings together researchers, academicians,
industry professionals, and technology enthusiasts to exchange ideas, present
innovations, and explore the latest advancements in intelligent systems,
computer vision, and smart technologies. With the growing integration of
artificial intelligence across various domains, this conference serves as a
dynamic platform for discussing developments in machine learning, affective
computing, robotics, IoT, smart healthcare, communication systems, and societal
impacts of emerging technologies. The hybrid format ensures broader
participation by enabling both in-person and virtual attendance, fostering
inclusive and global collaboration. Participants will gain insights into
cutting-edge research, engage in meaningful discussions, and build networks
that drive future innovations in cyber-physical systems, biomedical
technologies, data-driven intelligence, and human-machine interaction. AICVTech
2025 is committed to shaping the future by addressing real-world challenges
through interdisciplinary research and smart technological solutions.
The conference features three major thematic tracks:
Track
1: Intelligent Systems and Computational Intelligence
Explore
foundational and applied research in:
- Affective Computing
- Machine Learning
- Neural Networks and Fuzzy Logic
- Pattern Recognition and
Classification
- Signal and Image Processing
- Data Mining
- Games and Decision Theory
- Multi-Agent Interaction
Track
2: Smart Technologies and Cyber-Physical Systems
Delve
into smart innovations and their real-world applications, including:
- Intelligent Control and Robotics
- Intelligent Transportation
Systems
- Internet of Things (IoT)
- Smart City Solutions
- Smart Energy Systems
- Smart Healthcare Technologies
- Human-Machine Interaction
- Modeling & Simulation
- Communication Technologies
Track
3: Biomedical, Societal, and Emerging Technologies
Focus
on transformative technologies and their impact on society, featuring:
- Biomedical Engineering
- Biometrics
- Big Data Analytics
- Micro and Nanotechnology
- Societal Implications of AI