About ACSFT
Conference Overview
Welcome to the Advances in Computer Science and Future Technology (ACSFT) conference! Establish in 2025, ACSFT welcomes any innovative ideas in the use of computer science and advanced technologies to create new solutions to face the coming challenges that can help to change positively our human life.
The conference is dedicated to explore the latest advancements in computer science and technology. Our mission is to foster innovation and collaboration among researchers, practitioners, and industry experts. Join us for an exciting event filled with cutting-edge research, engaging discussions, and unparalleled networking opportunities.
Conference Themes
At ACSFT 2025, we will dive into several key areas, not limited to:
Exploring advancements in
- Natural Language Processing
- Fuzzy Logic Systems
- Decision Support Systems
- Metaheuristics Algorithms
- Artificial Neural Networks
- Machine Learning
- Deep Learning
- Optimization Techniques
- Data Mining and Knowledge Discovery
- Pattern Recognition
- Big Data Analytics
- Data Warehousing
- Distributed Database Systems
- Data Mining in Healthcare
- Computer Aided Healthcare Decision Systems
Addressing the latest threats, defenses, and strategies in cybersecurity in
- Information Assurance
- Data Security
- System Security
- Biometric Security
- Grid and Cloud Security
- IoT security
- Network Security
- Trust Management
- Information Hiding and Watermarking
- Cybercrime and Digital Forensics
- Blockchain Technology
Examining big data techniques, analytics, and real-world applications.
- Computer Vision
- Computer Games and Animation
- Shape/Motion Analysis
- Signal/Image Processing
- Face Recognition
- Handwritten Recognition
- Fingerprint Recognition
- Interactive Computational Models
- Virtual Reality
Discussing innovations and challenges in IoT technology:
- IoT Applications
- IoT Architecture
- Social Acceptance of IoT Systems
- Smart Home
- Smart Cities
- Web Technologies for IoT
- E-Health Information
- Medical Imaging Systems
- Data Mining in Healthcare
- Big Data in Healthcare
- Machine Learning in Healthcare
- Bioinformatics
- Mobile Applications for Healthcare
- Management of Healthcare Systems
- Computer Aided Healthcare Decision Systems
- Knowledge management, decision making and big data
- Enterprise Systems, Processes, Modelling and Management
- User Experience and Human Centered Design
- Information Systems Innovation, Strategy and IT Governance
- E-Commerce, E-Government and E-Business
- E-Health Information
- Management of Healthcare Systems
- Innovation Economy
- Digital Economy
- Technological Forecasting
- IT project Management
- Development Environments and Tools
- Compilers and Debuggers
- Agile or Model Driven Development
- Software Quality
- Software Design
- Interactive Interface Design
- Software Testing, Maintenance, Debugging techniques and tools
- Analysis and Re-engineering of Mobile Apps
- Cloud support and scalability
- Mobile Applications
- Actuators and Sensors
- Automotive Systems,
- Motion and Vibration Control
- Micro/Nano Systems and Devices
- Modeling, Identification and Control of Mechatronic Systems
- Biomedical Mechatronic Systems
- Advanced Manufacturing.
- Robot Control
- Soft Robotics
- Field Robotics
- Industrial Robotics
- Human-Robot Interaction
- Medical Robotics
- Autonomous Vehicles
- Legged robots and Humanoids
- Teleoperation and Haptics
- Multi-Robot System Modeling and Control
- Smart Education, Smart Learning Technologies and E-Learning
- Smart Emergency and Responsive Systems
- Social Media
- Applications of AI and Machine Learning to Smart Energy Systems
- Intelligent Modeling and Control of Renewable Energy Systems
- Renewable Energy On-line and Off-line Forecasting
- Energy Storage Optimization
- Cybersecurity and Data Analysis in Smart Grids
- Monitoring and Diagnostics
- Predictive Maintenance
- Demand Response
- IoT and IoE in Power Systems, Microgrids, and Smart Homes
- Lean Smart Manufacturing
- Uncertainty in manufacturing
- Advanced Computing in Engineering
- Numerical Methods and Optimization
- Smart Experimental Design
- Bayesian Estimation
- Smart Logistics and Operations
- Artificial Intelligence in Engineering Applications
- Multi-Objective Optimization
- Stochastic Analysis & Simulation
Organizing Committee
Meet the Team
We are excited to present an exceptional lineup of keynote speakers at the Advances in Computer Science and Future Technology (ACSFT) conference. Our keynote speakers are distinguished experts from academia, industry, and research institutions who are at the forefront of technological innovation and scientific discovery. They will share their insights and knowledge on cutting-edge topics that are shaping the future of computer science and technology.