Prof. Lijuan Jia | Vision Sensing Award | Best Researcher Award
Professor at Beijing institute of technology – Huddersfield, China
Jia Lijuan is an accomplished researcher and academic with expertise in electrical and electronic engineering, particularly in the areas of signal processing and vision sensing. She received her Ph.D. from Kyushu University, Japan, and has held various academic positions, including lecturer at Kyushu University and associate professor at Beijing Institute of Technology. Jia’s research interests include multi-living agent system theory, distributed adaptive networks, statistical signal processing, Artificial Intelligence, and Remote Sensing. She has published extensively, with over 70 papers as the first author or corresponding author, including over 50 SCI and EI papers. Jia has also been actively involved in professional committees and has received recognition for her contributions to the field. She is a member of the China Automation Society and the China Electronics Society, showcasing her commitment to advancing the field of electrical and electronic engineering.
Professional Profile
Education:
Jia Lijuan received her Ph.D. degree in electrical and electronic engineering from Kyushu University, Japan, in 2002. She pursued her doctoral studies after completing her undergraduate education.
Work Experiences:
Jia Lijuan has a diverse and extensive work experience in academia and research. She began her career as a lecturer at the Department of Electrical and Electronic Engineering at Kyushu University, Japan, where she taught from 2002 to 2005. Following this, she joined the School of Information and Electronics at Beijing Institute of Technology, where she has been serving as an associate professor since 2005. In addition to her academic roles, Jia has also been actively involved in research and professional activities. She spent a year as a visiting scholar at the Department of Electrical Engineering at the University of California, Los Angeles, USA, from 2013 to 2014. Throughout her career, Jia has demonstrated a commitment to academic excellence and has contributed significantly to the fields of multi-living agent system theory, distributed adaptive networks, statistical signal processing, Artificial Intelligence, and Remote Sensing. Jia has also played important roles in various academic and professional committees. She served as the Secretary General of the Beijing District Proposition Review Committee of the China Graduate Electronic Design Competition in 2011. Furthermore, she was a member of the Technical Procedures Committee of the International Conference on Signal Processing Systems in 2022 and served as the Invited Session Co-organizer at the 2022 China Automation Conference. Jia’s work has been recognized through numerous publications, including over 70 papers as the first author or corresponding author, including over 50 SCI and EI papers. She is also an inventor, holding more than 10 authorized patents, and has authored 2 books.
Skills:
Jia Lijuan possesses a wide range of skills in the field of electrical and electronic engineering, with a particular focus on signal processing and related areas. Her expertise includes but is not limited to multi-living agent system theory, distributed adaptive networks, statistical signal processing, Artificial Intelligence, and Remote Sensing. Jia has demonstrated proficiency in conducting advanced research, as evidenced by her extensive publication record, which includes over 70 papers as the first author or corresponding author, including over 50 SCI and EI papers. In addition to her research skills, Jia has also shown proficiency in academic leadership and organizational roles. She has served as the Secretary General of the Beijing District Proposition Review Committee of the China Graduate Electronic Design Competition, showcasing her ability to coordinate and manage academic initiatives. Furthermore, her role as the Invited Session Co-organizer at the 2022 China Automation Conference highlights her organizational skills and ability to collaborate with peers in the field. Jia’s skills extend beyond academia, as she is also an inventor with more than 10 authorized patents. This demonstrates her ability to translate theoretical knowledge into practical applications. Overall, Jia Lijuan’s skills reflect her dedication to advancing the field of electrical and electronic engineering through innovative research, academic leadership, and practical contributions.
Research Interest:
Jia Lijuan’s research interests span several areas within the field of electrical and electronic engineering, with a focus on signal processing and related disciplines. She has a particular interest in multi-living agent system theory, which involves studying the behavior and interactions of complex systems composed of multiple agents. This area of research has applications in various fields, including robotics, control systems, and networked systems. Additionally, Jia is interested in distributed adaptive networks, which involve developing algorithms and protocols for networks that can adapt and optimize their performance based on changing conditions. This research area is crucial for improving the efficiency and reliability of communication networks, especially in dynamic environments. Statistical signal processing is another area of interest for Jia. This field involves developing mathematical models and algorithms for analyzing and interpreting signals, such as audio, video, and sensor data. This research is essential for applications such as speech recognition, image processing, and biomedical signal analysis. Jia also has a keen interest in Artificial Intelligence (AI) and its applications in signal processing. This includes developing AI algorithms for tasks such as pattern recognition, machine learning, and data mining. Finally, Jia’s research interests extend to Remote Sensing, which involves using satellite and airborne sensors to collect data about the Earth’s surface and atmosphere. This research has applications in environmental monitoring, disaster management, and resource management. Overall, Jia Lijuan’s research interests reflect her commitment to advancing the field of signal processing and its applications through innovative research and interdisciplinary collaboration.
An automatic extraction method for geothermal radiation sources based on an LST retrieval algorithm and semantic network
Authors: He, R., Jia, L., Zhang, J.
Citations: 0
Year: 2023
Shale Core Fracture Extraction Method Based on Edge Detection and Hierarchical Semantic Fusion Network
Authors: He, R., Jia, L., Zhang, J., Peng, S.
Citations: 0
Year: 2023
A Novel Bias-Compensated Linear Constrained Least Mean Squares Algorithm Over Distributed Network
Authors: Wang, L., Jia, L., Miao, D., Guo, Y., Kanae, S.
Citations: 0
Year: 2023
Close-in weapon system planning based on multi-living agent theory
Authors: Tang, T., Wang, Y., Jia, L.-J., Hu, J., Ma, C.
Citations: 1
Year: 2022
Blind adaptive identification and equalization using bias-compensated NLMS methods
Authors: Zhang, Z., Jia, L., Tao, R., Wang, Y.
Citations: 1
Year: 2022
Diffusion bias-compensated recursive maximum correntropy criterion algorithm with noisy input
Authors: Li, Y., Jia, L., Yang, Z.-J., Tao, R.
Citations: 8
Year: 2022
Reliability analysis and selective maintenance for multistate queueing system
Authors: Tang, T., Jia, L., Hu, J., Wang, Y., Ma, C.
Citations: 4
Year: 2022
Spatial-Temporal Minimum Error Random Interaction Networks for Distributed Estimation
Authors: Zhu, C., Jia, L., Yang, Z.-J., Tao, R.
Citations: 0
Year: 2022
Robust Diffusion Adaptive Networks with Noisy Link and Input
Authors: Zhu, C., Jia, L., Kanae, S., Yang, Z.
Citations: 0
Year: 2022
Bias-compensated Sparse RLS Algorithms Over Distributed Networks
Authors: Peng, S., Jia, L., Kanae, S., Yang, Z.-J.
Citations: 0
Year: 2022
