Biography: 

Currently, he is engaged in scientific research and teaching in the fields of wireless communication and signal processing at the Research Institute of Signals and Transmission Processing, School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications. He primarily teaches professional foundational courses such as "Communication Principles" and "Uncertain Artificial Intelligence." In recent years, he has presided over or participated in more than ten national natural science fund and provincial-level projects. During this period, he has published more than twenty high-level academic papers in the field as the first author or has guided graduate students in their publications. Additionally, he is a member of the China Institute of Communications and IEEE, and serves as a reviewer for top-tier journals in the field such as IEEE Wireless Communications, IEEE Transactions on Wireless Communications, and IEEE Network. He is also an editorial board member of the journal Digital Communications and Network and a TPC member of internationally renowned conferences such as ICC, Globecom, IWCMC, and WCSP. He and his team have conducted research in cutting-edge areas such as D2D communication, mobile edge computing, wireless multimedia transmission, tactile internet, and cross-modal communication. Their related findings have been published in well-known journals such as IEEE Wireless Communications, IEEE Network, and IEEE Transactions on Vehicular Technology.

Biography: 

Prof. Fang is a visiting scholar at the University of Leeds, UK. Now he is the dean of the School of Quality and Technology Supervision, the director of the National Local Joint Engineering Research Center for Measuring Instruments and Systems, the Key Laboratory of Energy Measurement and Safety Detection Technology of Hebei Province, and the head of the National First-class Specialty of Measurement and Control Technology and Instrumentation. Selected by the Hebei Provincial Government Special Allowance experts, Hebei Province, Hebei Province, three-three-three talent project and Hebei University Kunyi outstanding scholars. He is also the executive director of the Chinese Society of Measurement and Testing, deputy director of the Chinese Society of Measurement and Testing Flow Measurement Committee, and a member of the National Market Supervision Industry Vocational Teaching Committee. In recent years, published more than 100 academic papers in this field, more than 10 national standards and metrological specifications, more than 20 standards and specifications for the main review, more than 90 patents applied for and authorized. He has presided over and participated in more than 30 national, provincial, ministerial and horizontal scientific research projects, and won 9 awards as the first finisher, including 3 second-class awards for scientific and technological progress in Hebei Province.

Title: Research on Remote Metering and Calibration Based on Modern Communication Technology

Abstract: There are two problems in the traditional method of quantity value transmission and traceability. One is that it must be carried out offline. The working measuring instruments must be removed regularly and sent to the corresponding technical institutions for verification or calibration under the specified experimental environment, which affects the normal production process. The other is that they are both static or steady-state testing processes, and can only obtain the basic error of the instrument under the reference working conditions, Additional errors in field applications cannot be obtained. The development of instrument Internet of things technology makes people see the hope to solve these two problems. If the remote value transmission and traceability system of measuring instruments can be established by using Internet of things technology, the additional error of instruments can be obtained, which fundamentally ensures the accuracy and reliability of on-site measurement data. This paper investigates the research status of remote value transmission and Traceability Technology in the field of measurement instruments at home and abroad, puts forward three ways to realize remote value transmission in the field of measurement, namely, transmission standard table, standard table on site and transmission value method, and compares the difficulty of these three ways, The research progress of remote value transmission and Traceability Technology Based on Electrical and optical methods is introduced.

Biography: 

Professor Shi is a distinguished professor under the Changjiang Scholars Program of the Ministry of Education, and the executive director of the Zhejiang Key Laboratory of Coordinated Perception and Autonomous Unmanned Systems.
Professor Shi has been engaged in the theoretical and technological research of array signal processing, tensor signal processing, and artificial intelligence signal processing for a long time, supporting the intelligent monitoring of low-altitude aircraft, the positioning and recognition of IoT devices, and the simulation and control of spatial attitude. He was named a Highly Cited Chinese Researcher by Elsevier in 2020, 2021, 2022, and 2023, and won the first prize in Natural Science of Zhejiang Province in 2022, the first prize in Science and Technology Promotion of China Science and Technology Industrialization Association in 2022, the first prize in Technological Invention of the Chinese Association for Artificial Intelligence in 2020, and the first prize in Science and Technology Progress of the Ministry of Education in 2014.

Title: Spectrum Learning-Based UAV Recognition Technology

Abstract: In recent years, the illegal use of drones has caused many critical accidents, which raises people's concerns about social security and personal privacy. Therefore,  it is urgent to study UAV detection and countermeasures technology. The radio frequency (RF) based UAV identification technology has the advantages of insensitivity to nonline-of-sight scenarios and wide detection range, which has attracted the attention of scholars at home and abroad. However, the lack of knowledge about UAV signal characteristics and the scarcity of UAV signal data lead to the limitations of data-driven UAV recognition methods. Therefore, this report starts with the electromagnetic spectrum characterization of UAV signals, highlighting the differences in the key characteristics of different drones. Further, towards the scarcity of UAV signal data, two typical problems are studied,  i.e.,  unknown recognition under open-set hypothesis and multi-target recognition under data constraints, where the spectrum sensing and learning methods of UAV signal are proposed respectively.