The inauguration ceremony for the Tsinghua University Embodied Institute for Intelligence and Robotics was held in the Main Building reception hall on November 30.The inauguration ceremonyIn his address, Tsinghua University President Li ...
From October 31 to November 3, 2025, the 19th "Challenge Cup" National College Students' Extracurricular Academic Science and Technology Works Competition was held at Nanjing University. During the event, the project "Time-Signal Explora...
The First International Symposium on Computational Biology with AI (iscbAI 2025) was held from May 30 to June 2, 2025, at Tsinghua University Southeast Asia Center in Bali, Indonesia. Organized by ISCB-China, the symposium brought togeth...
This discipline, by focusing on the moving vehicle, process industry, large special equipment, and other emerging cross-cutting areas, studies modeling (including mechanism modeling, system identification and machine learning, soft measurement, etc.), control (including advanced control, robust control, nonlinear control, fuzzy control, stochastic control, learning control, safety control, intermittent control, hierarchical distribution control, etc.), intelligent optimization and decision making (including intelligent optimization, simulation optimization, operation optimization, scheduling optimization, intelligent decision making, knowledge engineering, etc.), fault diagnosis and intelligent maintenance (including fault diagnosis, fault-tolerant control, predictive maintenance and real-time reliability, etc.), industrial Ethernet and fieldbus, and other theories and technologies, as well as the theory and technology of whole-process intelligent integration optimization of complex industrial processes and complex motion objects.
This discipline uses various sensors as information sources, and mathematics and computers as main tools, to explore the methods, approaches, and implementations of processing, classifying, and understanding various media information and constructing systems or devices with certain intelligent characteristics on this basis to improve system performance. Pattern recognition and intelligent systems is an important branch of control science and engineering, which combines theory and practice closely and has wide application value.
It is designed to meet the urgent need of the current industrial system for collaborative decision-making and intelligent control. Considering that the research object has evolved from simple systems to complex systems and is transitioning to intelligent systems, this discipline, relying on intelligent unmanned systems and industrial intelligent control and taking smart city as the fusion target, focuses on exploring the collaborative decision-making mechanism for swarm intelligence, so as to construct the transportation energy system of information physics fusion in smart city, and form the theoretical system of intelligent group decision-making and control.
Guided by control theory and based on modern science and technology such as electronics and microcomputers, this discipline, in combination with the latest developments in the field of artificial intelligence, researches on intelligent sensing, detection, and alarm technology, mainly including hazardous chemical monitoring technology, biomedical signal detection, new high-power power supply converter technology, fault detection and fault diagnosis of electronic systems, consumer digital electronics technology and applications, etc., by means of software and hardware synthesis.
Taking aviation, aerospace, navigation, vehicles, robots, and other intelligent unmanned systems as research objects, this discipline studies the situational awareness, task and motion planning, integrated navigation, guidance and intelligent control, system architecture design, and theory and technology of group intelligent games, based on mathematics, mechanics, control theory and engineering, information science and technology, system science, artificial intelligence technology, computer technology, sensing and measurement technology, modelling, and simulation technology, so as to provide technical solutions for intelligent and autonomous decision-making and control of intelligent unmanned systems.
This discipline uses theories and methods of system theory, information theory, cybernetics, and artificial intelligence to solve the technical problems of operation, management, R&D, production, and service in the industrial manufacturing process. Additionally, according to the whole life cycle of products, it realizes the intellectualization of R&D, design, and manufacturing of products through intelligent perception, human-machine interactive learning, autonomous decision-making, and automatic execution technologies. From the perspective of system theory, it studies the structure model, operation mechanism, and technology system of manufacturing enterprises; from the perspective of information theory, it studies the evolution law of its management mode, operation mode, product development design mode, and production and manufacturing mode; from the perspective of cybernetics and artificial intelligence, it studies the theory and methods of cooperative control, intelligent decision-making, and optimization in complex manufacturing and operation management process. This second-level discipline shows the deep fusion and integration of information technology, intelligent technology and manufacturing technology, which is an interdisciplinary discipline of automatic control, computer, management science, and mechanics.
Based on information, control, system and intelligence technologies, theories, and ideas, this discipline researches on the information laws of living systems at the molecular, cellular, phenotypic, and systemic levels. It studies the information processing and pattern recognition methods of DNA, RNA, protein, and other biomics data and health care data. It further studies the analysis, design, and artificial synthesis technologies of synthetic gene lines and systems with DNA molecules as basic components, and the application of these technologies in intelligent tumor targeted intervention. In addition, it also studies the system bioinformatics foundation of traditional Chinese medicine, the new theory and technology of the modernization of traditional Chinese medicine, and the application of machine learning and artificial intelligence in precision health and precision medicine.
1. Process tomography 2. Measurement techniques for multi-phase flow 3. Inverse problem theory and its applications 4. Multi-sensor fusion theory and applications
Digital and analog circuit design; Virtual instrument and automated testing system; Pocket instrument; Digital home
1.Trustworthy Medical Consultation Large Model 2.Control Strategy for Exoskeleton Robots 3.Development of Medical Embodied Robot System
Imaging & Intelligence
Brain-inspired computing, machine learning, probabilistic graphical models, computer vision, and video analysis
Seamless emergency response field for hazardous chemical accidents
1. Bioinformatics 2. Intelligent information processing 3. Signal processing
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.
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,
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
Machine learning Visual information acquisition and processing
1. Complex production process control and optimization 2. Data-driven fault detection 3. Functional data analysis
3D Vision, computational photography, digital human reconstruction and synthesis, real-time dynamic 3D reconstruction, multi-view 3D reconstruction, markerless motion capture
1.Intelligent information fusion and processing 2.voice processing 3.affective computing 4.Big data analysis
structure identification, analysis and synthesis of networked dynamic systems
Pattern recognition, machine learning, artificial intelligence, computer vision, and collaboration with industry
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
Machine learning, and big data analyses for biology and medicine Human cell atlas and digital twins of human systems Single cell bioinformatics
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
Academic direction: nonlinear control, robust control, swarm control, and modern detection Research interests: UAV control, UAV formation, and miniature intelligent piloting
Intelligent transportation Systems Optimization and Decision-making for Complex Systems Big Data and AI Ethics
Fault diagnosis, fault-tolerant control, operational safety evaluation theory, etc.
Fault diagnosis, modeling, and control of complex dynamic systems.
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
Control theory and applications: theory and applications of modeling, analysis, control, and optimization of networked dynamic systems
Intelligent optimization theory, methods, and applications Modeling, optimization, and scheduling of complex production processes
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
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
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
Computer Vision, Statistical Modeling & Computing, Cognition, Machine Learning,Natural Language and Dialogue, Robot Autonomy,General Artificial Intelligence
Computational videography, Meso-scale high-throughput microscope, Optoelectronic computing
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
1. Intelligent manufacturing 2. Intelligent synthetic biomanufacturing 3. Artificial intelligence-driven innovative drug development and precision medicine 4. Microfluidics
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.
1. Bioinformatics 2. Pattern recognition and machine learning 3. Design and control of synthetic biology systems
1.Machine Learning 2.Statistical Model and Optimization Technology 3.Large-scale video data analysis 4.computational brain science 5.bioinformatics
1.Internet of Things and Wireless Sensor Network 2.Indoor positioning and network diagnosis 3.RFID 4.Industrial Internet and Cloud Computing
1. Intelligent robot and teleoperation 2. Intelligent sensing technology 3. Intelligent test and measurement technology 4. Aerospace control
1. Smart manufacturing 2. Industrial intelligence and big data 3 Complex system modeling and virtual simulation
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.
1. Genetic sequencing data analysis 2. Genomic deep learning 3. Medical knowledge graph construction 4. Intelligent analysis of medical images
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.
1. Multi-agent modeling and simulation 2. Complex network modeling and simulation 3. Data driven modeling and simulation 4. Simulation system and engineering
Brain-inspired computing, computer vision, pattern recognition, machine learning
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
1. Networked control systems 2. Distributed optimization and learning 3. Reinforcement learning and its applications
Autonomous cooperative control of multi-agent systems Formation control of UAVs Vision-based autonomous navigation of UAVs
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
1. Computational photography/imaging 2. Computer vision 3. AI for Science
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
1. Computer vision 2. Intelligent umanned system
Artificial intelligence Intelligent control and sensing Intelligent transportation systems and intelligent vehicles Complex systems and networked systems
Computer vision, machine learning, and intelligent robotics
Computational imaging Artificial intelligence Biomedical engineering
1. Intelligent transportation systems 2. System engineerings 3. Automatic detection technology and control
Fingerprint recognition, computer vision, and medical image analysis
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.
1. Computational optics 2. Biomedical imaging 3. Optoelectronic computing
1. Intelligent control theory and applications 2. Robotics 3. Intelligent system modeling
Intelligent optimization algorithms, Markov processes, and stochastic control and optimization
Media-sharing social networking, information security and forensics, multimedia signal processing, and digital signal processing and communications
Speech signal processing, continual learning and multimodal fusion
Enterprise information engineering Modeling and analysis of complex systems Collaborative engineering
1. Model-driven system integration technology 2. Automatic flight technology under the new navigation system
1. Intelligent Vehicle Infrastructure Cooperative Systems（IVICS）theories and methods 2. Intelligent connected vehicles and Autonomous driving test 3. AI for Traffic signal control 4.Intelligent analysis for traffic big data 5. Intelligent public transportation systems
1. Federated Learning 2. Knowledge Graph 3. Smart Healthcare 4. Deep-time Digital Earth
Robotic manipulation, visual servoing, human-robot interaction, and micro/nano robots
1.Biomedical engineering 2.neuroscience
Humanoid Robot System and Control Robotics base on Neuromorphic computation
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
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.
1. Bioinformatics 2. Machine learning 3. Systems and precision medicine
1. Opto-mechanical design 2. Micro/Nano packaging 3. Microscopy instrumentation
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 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.
Light field imaging, Light field modulation, Intelligent photonics
Terahertz spectroscopy technology and spectral analysis
1. Cyber physical system 2. Networked control systems
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
Theory, method, and intelligent evacuation system for large-scale group emergency evacuation
Computational energy intelligence, Bayesian optimization, Battery management system, Data-driven fault monitoring.
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
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
[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
1.Reinforcement learning 2. Multi-agent collaborative decision-making 3.ligent control
Computer Vision、Multimodal Learning、AI4Science
1. Robot teleoperation； 2. Robot motion control; 3. Intelligent control and planning
