Smart Grid and Renewable Energy Lab aims at a more intelligent, secure and optimal power system operation and provides fundamental mathematical theory and algorithms. The lab also focuses on planning and operation for Energy Internet and Integrated Energy System (IES), including planning and operation of Transmission/Distribution/Microgrid/IES, development of IEMS (Integrated Energy Management System), application of Artificial Intelligence and Big Data technology etc. In addition, the lab is developing transmission and distribution automatic inspection technology based on online smart devices and expert system, as well as high-voltage external insulation testing & monitoring.
Renewable Energy Technologies and Accommodation; Big Data and Artificial Intelligence in Power System; Smart Micro-grid System; Energy Internet; Multi-Energy Utilization and Optimal Dispatch Technology; Multi-Energy Market and Economy； Active distribution network planning and optimal operation； Cyber Physical Power Systems
Perform theoretical research and application technology on key factors such as efficiency, safety and environmental protection of transportation, logistic, and industrial systems under systems thinking, optimization, intelligent instruments, and big data technology. Our research concentrates on transportation, logistics, supply chain, big data, social network, and new energy applications. Research topics include transportation management, intelligent vehicle-infrastructure cooperation system and autonomous vehicles, supply chain management and operations management, emergency response, green technologies and sustainability topics. The research methodologies include optimization, mathematical modeling, simulation, data analytics, and network analysis. Being an interdisciplinary team of scientists and professionals, Lab 1D commits to collaborate closely with the industry, discover innovations, solve challenging academic and application problems, and develop new technologies and products.
Big-Data Analytics and Applications; Agent-based Simulation and Applications; Supply Chain Management and Operations Management; Connected and Autonomous Vehicles; Intelligent Transportation System Integration; Transportation System Planning and Optimization; Real-time Dynamic Traffic Management and Optimization Based on Large-scale Traffic data; High-accuracy and Low-cost Positioning Technologies; Automatic Detection and Analysis of Driving Behavior; EV (Electronic Vehicle) Infrastructure Optimization and EV-Sharing Research
RISC-V open source hardware and software ecosystem; Continued improvement on RISC-V Technology; Application of RISC-V for all computing devices.
Novel memory technology for extremely low energy consumption; Open source processor chips and development circuits; Open source processor design code; Compiler development and optimization
David A. Patterson
The Sensors and Microsystems Lab uses micro/nano fabrication technologies as the core to address issues related to design, process and application of micro sensors and actuators, flexible and wearable systems, implantable devices, and intelligent systems based on multi-sensor data fusion techniques.
High performance micro sensors, flexible materials, and micro/nano materials.Applications of micro sensors in wearable systems, non-invasive blood glucose detections, AR/VR, robotic tactile sensing, olfaction, etc. Artificial intelligence system based on multi-sensor data fusion
With the rapid development of modern science and technology as well as the miniaturization of electronic devices, we begin to enter the post-Moore era. Towards the internet of everything (IoE) in coming future, we need to overcome the global challenges on the need of broad bandwidth, compact, low power consumption,low cost and functional photonic devices. Photonic Integration technology will play its unique role with the intrinsic advantages of light, to support the further development of future information technology, and opens up a new chapter for us. Based on this, the main research goal of Nano-Devices Laboratory is to investigate the novel optoelectronic effects in micro/nano photonic structures, and to study the core technology of our fabricated photonic devices for sensing and communications applications.
Novel photonic integrated chips； Wearable optoelectronic devices and systems；Novel 3D Sensing systems, including LiDAR, OCT, spectrometer applications；Nano-devices enabled visible light communications & short reach high speed optical interconnects
To do the research on the cutting-edge theory and algorithm in artificial intelligence and machine learning, the core technologies of intelligent sensor network systems, sensory data platforms and analytics, robotics sensing and human interfacing and cooperating; to establish a big sensory data Industry-University-Research alliance that focuses on behavior recognition, medical consultation, environmental detection and early warning, energy analysis and prediction in the fields of smart city, smart building, intelligent environment and intelligent medical system; to standardize the sensory data acquisition, transmission, access and processing and serve as a specification provider.
Core technologies of smart home and flexible wearable devices； Key technologies of sensory data storage and computing； IoT demonstration system for smart cities； Energy harvesting for IoT; Cutting-edge theory and algorithm in artificial intelligence and machine learning； Robotics sensing, human interfacing and cooperating
Future Internet Laboratory focuses on the development of next generation Internet and facilitates the development of Internet research of TBSI. It targets on the rapid and healthy development of information technology.
Next-generation network architecture: protocols, theories and applications of next-generation networks, including network management, Information-Centric Networking (ICN), software defined network (SDN), mobile Internet; Cyber security: theories of Cyber security, communication security of Internet, data security and information security; Smart big data analytics: theories, methods and applications of machine learning or / and mobile Internet psychological issues in human-machine interaction)
The vision of the laboratory is to conduct cross-disciplinary research on the generation, processing and realizing the value of big data using data- and knowledge-driven approaches, to bridge the gap between big data theories and methods, and industrial applications and services, and to generate high academic and industrial impacts.
Big data processing and analytics (e.g., representation learning and fusion for cross-domain multimodality data)；Big data systems and networks (e.g., data-driven edge cloud computing resource management, and multimedia content delivery)； Big data applications (e.g., social media, intelligent transportation, smart healthcare)；Big data and artificial intelligence (e.g., big data intelligence)；Big data and Quantitative Social Science (advanced methodologies and practices in psychology, including but not limited to behavior big data, big data behavioral experiments, virtual reality psychological intervention, psychological issues in human-machine interaction)
Computational Photography, Brain Science and Artificial Intelligence
Multidimensional and multiscale computational photography instrument, computational and systems neuroscience, gigapixel videography, multi-camera array system, multiview 3d reconstruction, content understanding and machine learning, etc