Random finite sets (RFS) or simple finite point processes are stochastic geometric models in stochastic geometry – a branch of mathematics that studies connections between geometry and probability. Stemming from the famous Buffon’s needle problem, stochastic geometry has since found applications in many diverse areas including astronomy, agriculture/forestry, epidemiology, image analysis, and telecommunications. In this talk, we will give a very brief introduction to random finite set theory and its application in signal processing, with emphasis on the development of novel filters such as the Probability Hypothesis Density (Ph.D.) filter and the Cardinalised Ph.D. (CPHD) filter.
Speaker: TS. Hoàng Gia Hưng, ĐH Công nghệ, ĐHQGHN
Time: 15:30, Tuesday, March 30, 2021
Venue: G2-315, 144 Xuan Thuy, Cau Giay, Hanoi
Hoang Gia Hung was born in Ha Noi, Viet Nam, in 1978. He received the B.Tech. degree in Electronic Engineering and Telecommunications in 2000 from Vietnam National University (VNU Hanoi) and the Ph.D. degree in Electrical Engineering in 2009 from the University of New South Wales, Australia. He was the recipient of the Endeavour Research Award and was appointed as a research fellow with the Department of Electrical and Computer Engineering at the University of Western Australia in 2012. Afterward, he held several positions in world-leading academic and industrial organizations. He is currently a Lecturer at the University of Engineering and Technology, Vietnam National University. His main research interests are signal processing and systems theory with an emphasis on applications of random sets to sensor management, multi-target tracking, and robotics.