Research Foundation
Our Applied AI research focuses on advancing fundamental AI technologies while ensuring their practical applicability across various domains. We bridge the gap between theoretical breakthroughs and real-world implementation.
Core Technology Areas
Computer Vision & 4D Scene Understanding
- Real-time Object Detection: Advanced YOLO and transformer-based detection systems
- 4D Scene Reconstruction: Temporal-spatial understanding for dynamic environments
- Multi-modal Fusion: Combining RGB, depth, LiDAR, and IMU data
- Edge Deployment: Optimized models for mobile and embedded systems
- Applications: Autonomous vehicles, surveillance, AR/VR, robotics
Natural Language Processing
- Vietnamese Language Models: Large language models for Vietnamese text
- Multi-document Summarization: Advanced abstractive and extractive techniques
- Sentiment Analysis: Deep understanding of Vietnamese social media and news
- Question Answering: Retrieval-augmented generation systems
- Applications: Chatbots, content analysis, translation, information retrieval
Cybersecurity & Network Intelligence
- Intrusion Detection: ML-based network anomaly detection systems
- Threat Intelligence: AI-powered security threat analysis and prediction
- Behavioral Analytics: User and entity behavior analytics (UEBA)
- Automated Response: Intelligent incident response and mitigation
- Applications: Enterprise security, IoT protection, cloud security
Wireless Networks & Communications
- Signal Processing: Deep learning for OFDM and 5G/6G communications
- Network Optimization: AI-driven resource allocation and scheduling
- UAV Communications: Intelligent drone network coordination
- Edge Computing: Distributed AI processing at network edges
- Applications: Smart cities, Industrial IoT, autonomous systems
Technical Innovations
Architecture & Algorithms
- Transformer Variants: Custom attention mechanisms for specific domains
- Federated Learning: Privacy-preserving distributed training
- Meta-Learning: Few-shot learning for rapid domain adaptation
- Neural Architecture Search: Automated model design optimization
Optimization & Deployment
- Model Compression: Quantization, pruning, and knowledge distillation
- Hardware Acceleration: GPU, TPU, and specialized chip optimization
- MLOps Pipelines: Automated training, testing, and deployment systems
- Real-time Inference: Low-latency prediction systems
Research Achievements
Computer Vision
- 95% accuracy in real-time object detection on mobile devices
- Sub-10ms inference time for 4D scene understanding
- 90% reduction in false positives for surveillance systems
Natural Language Processing
- State-of-the-art Vietnamese language model with 120M parameters
- 88% ROUGE score on Vietnamese multi-document summarization
- 92% accuracy in Vietnamese sentiment classification
Cybersecurity
- 99.2% detection rate for network intrusions with 0.1% false positives
- Real-time threat detection processing 10M events per second
- 75% reduction in security incident response time
Wireless Networks
- 40% improvement in 5G network resource utilization
- 95% success rate in UAV-to-UAV communication handoffs
- 60% reduction in network latency through edge AI deployment
Industry Collaboration
We work closely with technology companies, telecommunications providers, and government agencies to ensure our research addresses real-world challenges and achieves meaningful impact.
