SSICT-2025 is the sixth symposium for students to present their initial ideas for research projects on ICT at University of Science, VNU-HCM. From this event, students can share their achievements in their research projects and get valuable feedback and advice from professors and researchers to further improve their work.
Students in the courses on Scientific Method and Technical Writing (APCS2023), Scientific Research Methodology (Honors 2023), and Scientific Research Methodology (Master of Science on Data Science/Computer Science/Artificial Intelligence/Information Systems 2024) are encouraged to submit and present their work in SSICT-2025.
Assoc. Prof. Minh-Triet TRAN, Faculty of Information Technology & Software Engineering Laboratory, University of Science, VNU-HCM
Dr. Trung-Nghia LE, Faculty of Information Technology, University of Science, VNU-HCM
Mr. Hai-Dang NGUYEN, Software Engineering Laboratory, University of Science, VNU-HCM
Abstract Submission Deadline: July 01, 2025
Submission Deadline: July 15, 2025
Author Notification: September 01, 2025
Camera-Ready Submission: September 15, 2025
Conference Dates: November 14-15, 2025
University of Science, VNU-HCM
227 Nguyen Van Cu street, District 5, Ho Chi Minh city.
Authors are invited to submit papers of up to 8 pages, written in English, in PDF format, and compliant with the IEEE standard. (http://www.ieee.org/conferences_events/conferences/publishing/templates.html).
Papers must be submitted via the CMT system: https://cmt3.research.microsoft.com/SSICT2025/
The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
SSICT 2025 seeks articles describing promising results about theoretical, empirical, conceptual, or experimental research in Computer Science. Relevant topics of the symposium include, but are not limited to:
1. AI and Big Data Analytics:
- Artificial intelligence, Knowledge Representation, Machine Learning, Uncertainty.
- Natural Language Processing, Search methodologies, Information Retrieval
- Big Data Analytics: algorithms, techniques, and systems; scalability, optimization, security, trust, privacy issues; applications for threat detection, cognitive computing, cyber defense, e-health, business intelligence
2. Network Communication and Security:
- Network Architecture and Protocols, Future Internet, Software Defined Networking, Information-Centric Networking, Overlay and Peer-to-Peer Networks
- Mobile and Wireless Networks, Ad-hoc and Sensor Networks, Internet of Things, Green Networking
- Wireless and Network Security, Information Security, Anonymity and Privacy, Intrusion Detection and Prevention
- Wireless Communications, Coding and Information Theory, Cognitive Radio, Cooperative Communications, MIMO and Smart Antenna Systems
- Optical Networks, Free Space and Fiber-Optic Communications, Optical Access Networks, Protection and Restoration
- Network Management, Network Performance and QoS, Fault tolerance, Reliability and Survivability
3. Perception and Machine Interaction
- Pattern recognition, Image processing, Computer vision, Computational photography, Human measurement, Intelligent image editing, Visual media processing, Image database
- Speech processing, Acoustic information processing, Speech / Sound database
- Information sensing, Sensor fusion, Sensing devices/systems, Tangible sensing
- Human interface, Multi-modal interface, Human-computer interaction, Computer-Supported Cooperative Work, Groupware
- Virtual reality, Augmented Reality, Mixed Reality, Realistic communication
- Wearable device, Usability, Ergonomics
4. Software Engineering and New Computing Trends
- Software Architectures, Formal Analysis and Design, Software Development Techniques and Tools, Software Verification, Programming Languages
- Parallel Computing, Distributed Computing, Cloud Computing
- Mobile and Ubiquitous Computing
- Real-time Embedded System
Email: tmtriet@fit.hcmus.edu.vn