Special Session 6  会议特别专题 6

Frontiers of Electronic Reconnaissance Signal Processing Technology

Description: Electronic reconnaissance signal processing has always faced challenges such as dynamic, complex electromagnetic environments and unknown target threats. This topic mainly showcases the current cutting-edge research in signal processing from the perspective of technological development, focusing on how to quickly respond to these challenges using recent deep learning technologies, radio frequency learning technologies, and embodied intelligence technologies to achieve systems with cognitive characteristics.

Session organizers
Prof. Guohua Liu, Southeast University, China

The topics of interest include, but are not limited to:
▪ New method for signal sorting
▪ New method to process AESA Radar
▪ New method for SEI (specific emitter identification)
▪ Exploration of Radar Signal Behavior Recognition
▪ RF learning
▪ Embodied intelligence technologies in Electronic reconnaissance signal processing

Submission method
Submit your Full Paper (no less than 5 pages with two colums) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 6 (Frontiers of Electronic Reconnaissance Signal Processing Technology)
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Introduction of Session organizer

Prof. Guohua Liu, Southeast University, China

Liu Guohua, Professor at the School of Mathematics, Southeast University, and Doctoral Supervisor in Mathematics. Born in July 1978, with native place Luoyang. Obtained his Ph.D. from Fudan University in 2006; visited the University of Brussels, Belgium from January to December 2012; has been a faculty member at the School of Mathematics, Southeast University since June 2006. Led and completed two projects funded by the National Natural Science Foundation of China (NSFC), one Innovation Zone Project of the Science and Technology Commission, and one 1** Engineering Project. Collaborated in one key cultivation project of the Innovation Zone. Led and completed multiple horizontal projects with institutions such as the Intelligent Navigation Institute and the 58th Research Institute. Served as a key member in two major R&D projects of the Ministry of Science and Technology (as sub-topic leader), and participated in several national and provincial/ministerial-level projects. Published over 20 SCI/EI-indexed papers in domestic and international journals, independently completed three defense reports, and contributed to several others. Received the Third Prize in the Jiangsu Provincial Science and Technology Progress Award in 2014 (ranked second). Currently serves as the Chairman of the Jiangsu Higher Education Teaching Research Association and a Council Member of the Jiangsu Mathematical Society. Main research directions include intelligent algorithm optimization (reinforcement learning, evolutionary algorithms), high-dimensional data optimization, and large-scale swarm collaborative game theory.