- 5G mobile communications and next generation wireless LANs
- Machine-to-machine (M2M) communications, cyber-physical-social systems (CPS), and Internet of Things (IoT)
- Socially enabled and biological inspired wireless networks
- (Cognitive radio) Ad hoc networks and sensor networks
- Social networks
- Information dynamics, privacy, and security in digital society
- Multi-agent networked systems and collective behavior of interactive multi-agents
- Molecular communications and computations, synthetic biology, and systems biology
- Analysis and inference on big social/networked data
- Statistical learning theory and deep learning systems
- User behavior, networked-machine behavior and intelligence
Generally speaking, we are interested in developing fundamental knowledge of wireless communication and networks, and applications to big data and realistic information system design/implementation/business, through interdisciplinary explorations in communication/network engineering, machine learning and intelligence, statistical physics, mathematical statistics and stochastic processes, and biology.