Research Direction：
Imaging & Intelligence
Research Direction：
1. Process tomography
2. Measurement techniques for multi-phase flow
3. Inverse problem theory and its applications
4. Multi-sensor fusion theory and applications
Research Direction：
1. Bioinformatics
2. Intelligent information processing
3. Signal processing
Research Direction：
1. Intelligent transportation systems
2. System engineerings
3. Automatic detection technology and control
Research Direction：
Modeling, design, optimization, and implementation of complex industrial automation systems
Intelligent manufacturing
Enterprise CIMS application information integration platform
Industrial internet
Equipment failure diagnosis and system maintenance,
Research Direction：
Strategic management of enterprise informationization, modern service science and technology, computer integrated manufacturing systems, Intelligent Manufacturing and Industry 4.0, business process modeling and optimization, and big data and intelligent service platforms
Research Direction：
Brain-inspired computing, machine learning, probabilistic graphical models, computer vision, and video analysis
Research Direction：
Machine learning
Visual information acquisition and processing
Research Direction：
1. Complex production process control and optimization
2. Data-driven fault detection
3. Functional data analysis
Research Direction：
3D Vision, computational photography, digital human reconstruction and synthesis, real-time dynamic 3D reconstruction, multi-view 3D reconstruction, markerless motion capture
Research Direction：
structure identification, analysis and synthesis of networked dynamic systems
Research Direction：
Pattern recognition, machine learning, artificial intelligence, computer vision, and collaboration with industry
Research Direction：
Digital and analog circuit design;
Virtual instrument and automated testing system;
Pocket instrument;
Digital home
Research Direction：
Seamless emergency response field for hazardous chemical accidents
Research Direction：
Machine learning, and big data analyses for biology and medicine
Human cell atlas and digital twins of human systems
Single cell bioinformatics
Research Direction：
1. E-commerce theory, technology, and applications
2. R&D and application of blockchain basic technology
3. Crowd science, data science, service science and applications
4. Smart manufacturing
5. Cloud manufacturing
Research Direction：
Security and economy of complex networked systems;Optimal scheduling of production and manufacturing systems;Research on market bidding and countermeasure methods, and power market simulation and forecasting;Information-physical convergence systems, smart grids, sensor networks, and cyber security.
Research Direction：
Fault diagnosis, fault-tolerant control, operational safety evaluation theory, etc.
Research Direction：
Fault diagnosis, modeling, and control of complex dynamic systems.
Research Direction：
1. Pattern recognition
Fingerprint recognition, palmprint recognition, face recognition, and machine learning
2. Computer vision
Visual surveillance, bionic binocular vision, medical image processing, and image analysis and retrieval
Research Direction：
Intelligent transportation Systems
Optimization and Decision-making for Complex Systems
Big Data and AI Ethics
Research Direction：
Intelligent optimization theory, methods, and applications
Modeling, optimization, and scheduling of complex production processes
Research Direction：
Academic direction: nonlinear control, robust control, swarm control, and modern detection
Research interests: UAV control, UAV formation, and miniature intelligent piloting
Research Direction：
1. Signal processing and applications
Seismic signal processing; ultrasonic imaging; and physiological signal processing
2. Image processing and applications
Image enhancement; image reconstruction; seismic image processing; industrial machine vision; medical image processing; and remote sensing image processing
3. Machine learning
Seismic data mining; workpiece appearance detection and classification; remote sensing data analysis; and medical image analysis
Research Direction：
Intelligent control
The analysis and the encoding/decoding model for bio-perception mechanism
A novel brain-like algorithm based on bio-perception mechanisms
Intelligent diagnosis support of myocardial infarctio
Research Direction：
1. Stochastic optimization and intelligent scheduling of complex processes in manufacturing
2. Theoretical methods of machine learning and reinforcement learning, and their applications
3. Underwater robot intelligent detection, identification, and optimal control technology
4. Deep sea space information processing technology and intelligent control systems
Research Direction：
1. Bioinformatics and modernization of Chinese medicine
2. Network pharmacology and cancer prevention in Chinese and Western medicine
3. Artificial intelligence in traditional Chinese medicine
4. Disease and drug-related biological network research
Research Direction：
Computer Vision, Statistical Modeling & Computing, Cognition, Machine Learning,Natural Language and Dialogue, Robot Autonomy,General Artificial Intelligence
Research Direction：
1.Intelligent information fusion and processing
2.voice processing
3.affective computing
4.Big data analysis
Research Direction：
1. Intelligent manufacturing
2. Intelligent synthetic biomanufacturing
3. Artificial intelligence-driven innovative drug development and precision medicine
4. Microfluidics
Research Direction：
Control theory and applications: theory and applications of modeling, analysis, control, and optimization of networked dynamic systems
Research Direction：
1. Bioinformatics 2. Pattern recognition and machine learning 3. Design and control of synthetic biology systems
Research Direction：
Computational videography, Meso-scale high-throughput microscope, Optoelectronic computing
Research Direction：
1. Theory and technology of real-time data exchanging among pedestrians, vehicles, and infrastructure via multi-mode wireless communication (DSRC, LTE-V, 5G);
2. Theory and technology of cooperative safety driving and traffic control for drivers, vehicles, and infrastructure;
3. Urban and highway traffic theory (Traffic Brain) based on all spatio-temporal traffic information, and active traffic control theory and technology combined with vehicle control.
Research Direction：
1. Intelligent robot and teleoperation
2. Intelligent sensing technology
3. Intelligent test and measurement technology
4. Aerospace control
Research Direction：
1. Smart manufacturing
2. Industrial intelligence and big data
3 Complex system modeling and virtual simulation
Research Direction：
1.Internet of Things and Wireless Sensor Network
2.Indoor positioning and network diagnosis
3.RFID
4.Industrial Internet and Cloud Computing
Research Direction：
1. Genetic sequencing data analysis
2. Genomic deep learning
3. Medical knowledge graph construction
4. Intelligent analysis of medical images
Research Direction：
Intelligent communication and signal processing: integration of artificial intelligence, computer vision, and wireless communication, one of the key technologies of the sixth generation of mobile communication.
Research Direction：
1. Multi-agent modeling and simulation
2. Complex network modeling and simulation
3. Data driven modeling and simulation
4. Simulation system and engineering
Research Direction：
Robust, secure and interpretable third-generation artificial intelligence and its applications in industry and modern service sectors
1. Vision-based algorithms for surface defect detection of industrial products
2. Motion trajectory-based compliance monitoring algorithms for shop floor operations
3. Data-driven health assessment and fault diagnosis of industrial equipment (wind power, nuclear power)
4. Algorithm and task optimization for cloud-edge collaboration (cloud computing and edge computing)
5. Industrial internet and intelligent control in smart manufacturing
6. Artificial intelligence approaches in the medical research
7. Data science and service science
8. Knowledge maps for manufacturing and service industries
Research Direction：
1. Networked control systems
2. Distributed optimization and learning
3. Reinforcement learning and its applications
Research Direction：
1.Machine Learning
2.Statistical Model and Optimization Technology
3.Large-scale video data analysis
4.computational brain science
5.bioinformatics
Research Direction：
1. Virtual assembly and its related technology research
2. Research on product development in virtual reality (VR) environment and its related technologies
3. Research on product R&D informationization and its key technologies
Research Direction：
Research interests include optimization theory and methods for networked cyber-physical energy systems with particular contribution to ordinal optimization, event-driven optimization and the applications.
Research Direction：
1. District e-commerce theory, technology, and applications
2. Blockchain basic technology development and applications
3. Crowd intelligence science, data science, service science, and applications
4. Intelligent manufacturing
5. Cloud manufacturing
Research Direction：
Autonomous cooperative control of multi-agent systems
Formation control of UAVs
Vision-based autonomous navigation of UAVs
Research Direction：
Artificial intelligence
Intelligent control and sensing
Intelligent transportation systems and intelligent vehicles
Complex systems and networked systems
Research Direction：
Computer vision, machine learning, and intelligent robotics
Research Direction：
1. Computational photography/imaging
2. Computer vision
3. Statistical learning
Research Direction：
Intelligent optimization algorithms, Markov processes, and stochastic control and optimization
Research Direction：
Fingerprint recognition, computer vision, and medical image analysis
Research Direction：
Web technology and its applications, resource management and optimization, service science, enterprise information system and engineering, modern project management technology, etc., with more in-depth research and practice in the web application, cross-organizational resource service architecture, service description, service discovery and combination, service negotiation, web service monitoring and evaluation index, method system, etc. Current research interests include: the integration of high-quality services with next-generation information technology, the application of artificial intelligence technology in carbon emission monitoring, carbon neutrality.
Research Direction：
1. Computer vision
2. Intelligent umanned system
Research Direction：
1. Intelligent control theory and applications
2. Robotics
3. Intelligent system modeling
Research Direction：
1. Intelligent Vehicle Infrastructure Cooperative Systems（IVICS）theories and methods
2. Intelligent connected vehicles and self-driving vehicles
3. Intelligent analysis for traffic big data
4. Advanced traffic management systems
5. Intelligent public transportation systems
Research Direction：
Media-sharing social networking, information security and forensics, multimedia signal processing, and digital signal processing and communications
Research Direction：
Enterprise information engineering
Modeling and analysis of complex systems
Collaborative engineering
Research Direction：
Computational imaging
Artificial intelligence
Biomedical engineering
Research Direction：
1. Model-driven system integration technology
2. Automatic flight technology under the new navigation system
Research Direction：
1. High-performance quantum control for the industrialization of quantum information technologies.
2. Complexity analysis of optimization problems in quantum control and quantum algorithms.
3. Quantum artificial intelligence techniques and their experimental implementations.
Research Direction：
1. Federated Learning 2. Knowledge Graph 3. Smart Healthcare 4. Deep-time Digital Earth
Research Direction：
Robotic manipulation, visual servoing, human-robot interaction, and micro/nano robots
Research Direction：
1. Computational optics
2. Biomedical imaging
3. Optoelectronic computing
Research Direction：
Humanoid Robot System and Control
Robotics base on Neuromorphic computation
Research Direction：
1. Control and stabilization of power system with high penetrated renewable energy
2. Control and optimization of renewable energy conversion system
3. Power electronics for power system applications
4. Intelligent control of offshore wind turbine
5. Big data analysis of distribution power networks
Research Direction：
Research interests include road safety evaluation, driving behavior, AI models for traffic data analysis, synergetic safety for heterogeneous traffic system with CAVs under ubiquitous connectivity, etc.
Research Direction：
1. Bioinformatics
2. Machine learning
3. Systems and precision medicine
Research Direction：
1. Smart home network
Research on the architecture, performance, and network security of intelligent home networks, related technologies including networks, communications, embedded systems, electronics, etc.
Programmable system-on-chip (PSoC), embedded systems (ARM, DSP), electronic circuit and system design
Research Direction：
1. Cyber physical system
2. Networked control systems
Research Direction：
1. Intelligent device for synthetic biology
2. Single cell analysis and sorting technology
Research Direction：
1.Biomedical engineering
2.neuroscience
Research Direction：
1. Topology modeling, fault diagnosis, and health management of large-scale complex systems
2. Intelligent alarm monitoring for industrial systems
3. System identification theory and applications
4. Intelligent Management and Control for Satellite Constellations
Research Direction：
1. Intelligent control of autonomous swarm
2. Fault diagnosis of information control systems for high-speed trains
3. Fault-tolerant control and self-rescue of deep-sea manned submersibles
Research Direction：
1. Opto-mechanical design 2. Micro/Nano packaging 3. Microscopy instrumentation
Research Direction：
Terahertz spectroscopy technology and spectral analysis
Research Direction：
Computational energy intelligence, Bayesian optimization, Battery management system, Data-driven fault monitoring.
Research Direction：
1. Modeling, control, and optimization of complex continuous processes (including iterative learning control, predictive control, neural networks, etc.);
2. Information security of industrial control networkIndustrial big data analysis and applications (including data-driven and machine learning based industrial big data analysis, industrial intelligence and applications);
3. Information security of industrial control network
Research Direction：
1. Big data analysis and industrial applications
2. Data-driven decision-making under uncertainty and applications
3. Process monitoring and fault diagnosis
4. Data-driven industrial process modeling
Research Direction：
[1] Pattern recognition and intelligent information processing
1、Human biometric identification technology;
2. Classification and recognition system for pathology in medical images;
3. Research on polygraph techniques;
4. Brain-computer interface technology;
5. Web-based information collection and classification techniques.
[2] Embedded computer systems and DSP information processing systems
1. Design of various embedded computer systems used in industry, medical treatment, and homes.
2. Information processing technology based on DSP.
[3] Industrial power electronics
Research Direction：
1.Reinforcement learning
2. Multi-agent collaborative decision-making
3.ligent control
Research Direction：
Light field imaging, Light field modulation, Intelligent photonics
Research Direction：
1. Robot teleoperation；
2. Robot motion control;
3. Intelligent control and planning
Research Direction：
1. Design and control of artificial molecular machines
2. Synthetic biology
3. Oncogenomics
4. Oncogene and cell therapy
Research Direction：
1. Robot agile maneuvering control
2. Time-delay systems, networked control systems
3．Sliding mode control, fixed-time control, predefined-time control
