讲座时间：2017年7月6日（星期四）上午9：00-11：30
地点：2教南楼2楼会议室
地点：2教南楼2楼会议室
报告一： sampling For Random Finite Sets Filter
（随机有限集采样理论及发展）
报告人：Ba-Ngu Vo教授 澳大利亚科廷大学
讲座介绍：
Abstract: The generalized labeled multi-Bernoulli (GLMB) filter is an analytic Bayesian on-line multi-object filter. This filter can be implemented using the K-shortest path and Murty's algorithms to truncate the GLMB prediction and filtering densities respectively. A more efficient implementation can be achieved by combining the prediction and update into a single recursion and develop a Gibbs sampler for truncating the GLMB filtering density. The resulting implementation has a linear complexity in the number of measurements and quadratic in the number of hypothesized objects. Tracking performance and extensions will be discussed.
Ba Ngu Vo教授简介:
Ba-Ngu Vo received his Bachelor degrees in Pure Mathematics and Electrical Engineering with first class honours in 1994, and PhD in 1997. Currently he is Professor and Chair of Signals and Systems in the Department of Electrical and Computer Engineering at Curtin University. Vo is a recipient of the Australian Research Council’s inaugural Future Fellowship and the 2010 Eureka Prize for Outstanding Science in support of Defense or National Security. He is an associate editor of the IEEE Transaction on Aerospace and Electronic System. Vo is best known as a pioneer in the stochastic geometric approach to multi-object system. His research interests are signal processing, systems theory and stochastic geometry with emphasis on target tracking, space situational awareness, robotics and computer vision.
报告2: Sensors Based on AlGaN/GaN Transistors for Situation Monitoring.
报 告 人：Brett Nener教授 西澳大利亚大学
报告介绍：
Reliable, economically accessible technology for in situ monitoring of contaminants in water has the power to transform health, industry, and society. Applications of such monitoring range from process control monitoring and optimis ation for industry, to water supply quality and wastewater monitoring, to environmental monitoring for resource extraction, and beyond. Semiconductor-based technology offers high performance for in situ, real-time contaminant monitoring and can also be mass produced at low-cost with flexible functionalisation allowing for a variety of analytes. Furthermore, it offers the ability to integrate multiple sensors into one chip, along with wireless communication technology for maximum benefit of the in situ monitoring capability.
AlGaN/GaN transistors have the unique combined benefits of high sensitivity to surface charge, fast response, and excellent chemical and thermal stability. The properties of AlGaN/GaN transistors are very attractive for sensors.. The strained AlGaN layer induces a region of high sheet carrier concentration, electron mobility and high saturation velocity induced by piezoelectric polarization known as a two-dimensional electron gas (2DEG) at the AlGaN/GaN interface. The 2DEG responds to changes in surface charge, so ion selective field effect transistors (ISFETS) can be developed into robust and sensitive ion sensors. Importantly, in contrast to many other potentiometric sensors, including Si-based ISFETS, high sensitivity can be obtained without the need for a reference electrode. This is a significant advantage over electrochemical cell techniques for which a reference electrode is a major impediment to in situ and robust operation.
Developments of various AlGaN/GaN ISFETs for chemical sensing – in particular pH sensors, nitrate ion, mercury (II) ion and calcium ion sensors will be presented. The ion sensors were all obtained by functionalising the transistors with a plasticised PVC membrane containing a dissolved ionophore selective to the ion of interest.
Brett Nener教授简介：
Dr Brett Nener is a professor at the University of Western Australia (UWA), a world top-100 university and is a Senior Member of the IEEE. He has been the Head of the School of Electrical, Electronic and Computer Engineering, and Deputy Dean(International) for the Faculty of Engineering, Computing and Mathematics. He has a Master of Science in Communication Engineering from the University of Tokyo and took his PhD on Cat Retinal Ganglion Cells in the School of Ophthalmology at the UWA. He has held visiting professor positions at the US Navy Labs in San Diego and the University of California at Santa Barbara (UCSB). He is a visiting professor with Southeast University (Nanjing, China), the University of Electronic Science and Technology (Chengdu, China) and Harbin Institute of Technology (Harbin, China). In the last decade he has been working on III-Nitride HEMT devices in collaboration with UCSB. Recently, with the Western Australian Medical Research Institute, he has been focusing on biosensors.
欢迎广大师生参加！
报告人：Ba-Ngu Vo教授 澳大利亚科廷大学
讲座介绍：
Abstract: The generalized labeled multi-Bernoulli (GLMB) filter is an analytic Bayesian on-line multi-object filter. This filter can be implemented using the K-shortest path and Murty's algorithms to truncate the GLMB prediction and filtering densities respectively. A more efficient implementation can be achieved by combining the prediction and update into a single recursion and develop a Gibbs sampler for truncating the GLMB filtering density. The resulting implementation has a linear complexity in the number of measurements and quadratic in the number of hypothesized objects. Tracking performance and extensions will be discussed.
Ba Ngu Vo教授简介:
Ba-Ngu Vo received his Bachelor degrees in Pure Mathematics and Electrical Engineering with first class honours in 1994, and PhD in 1997. Currently he is Professor and Chair of Signals and Systems in the Department of Electrical and Computer Engineering at Curtin University. Vo is a recipient of the Australian Research Council’s inaugural Future Fellowship and the 2010 Eureka Prize for Outstanding Science in support of Defense or National Security. He is an associate editor of the IEEE Transaction on Aerospace and Electronic System. Vo is best known as a pioneer in the stochastic geometric approach to multi-object system. His research interests are signal processing, systems theory and stochastic geometry with emphasis on target tracking, space situational awareness, robotics and computer vision.
报告2: Sensors Based on AlGaN/GaN Transistors for Situation Monitoring.
报 告 人：Brett Nener教授 西澳大利亚大学
报告介绍：
Reliable, economically accessible technology for in situ monitoring of contaminants in water has the power to transform health, industry, and society. Applications of such monitoring range from process control monitoring and optimis ation for industry, to water supply quality and wastewater monitoring, to environmental monitoring for resource extraction, and beyond. Semiconductor-based technology offers high performance for in situ, real-time contaminant monitoring and can also be mass produced at low-cost with flexible functionalisation allowing for a variety of analytes. Furthermore, it offers the ability to integrate multiple sensors into one chip, along with wireless communication technology for maximum benefit of the in situ monitoring capability.
AlGaN/GaN transistors have the unique combined benefits of high sensitivity to surface charge, fast response, and excellent chemical and thermal stability. The properties of AlGaN/GaN transistors are very attractive for sensors.. The strained AlGaN layer induces a region of high sheet carrier concentration, electron mobility and high saturation velocity induced by piezoelectric polarization known as a two-dimensional electron gas (2DEG) at the AlGaN/GaN interface. The 2DEG responds to changes in surface charge, so ion selective field effect transistors (ISFETS) can be developed into robust and sensitive ion sensors. Importantly, in contrast to many other potentiometric sensors, including Si-based ISFETS, high sensitivity can be obtained without the need for a reference electrode. This is a significant advantage over electrochemical cell techniques for which a reference electrode is a major impediment to in situ and robust operation.
Developments of various AlGaN/GaN ISFETs for chemical sensing – in particular pH sensors, nitrate ion, mercury (II) ion and calcium ion sensors will be presented. The ion sensors were all obtained by functionalising the transistors with a plasticised PVC membrane containing a dissolved ionophore selective to the ion of interest.
Brett Nener教授简介：
Dr Brett Nener is a professor at the University of Western Australia (UWA), a world top-100 university and is a Senior Member of the IEEE. He has been the Head of the School of Electrical, Electronic and Computer Engineering, and Deputy Dean(International) for the Faculty of Engineering, Computing and Mathematics. He has a Master of Science in Communication Engineering from the University of Tokyo and took his PhD on Cat Retinal Ganglion Cells in the School of Ophthalmology at the UWA. He has held visiting professor positions at the US Navy Labs in San Diego and the University of California at Santa Barbara (UCSB). He is a visiting professor with Southeast University (Nanjing, China), the University of Electronic Science and Technology (Chengdu, China) and Harbin Institute of Technology (Harbin, China). In the last decade he has been working on III-Nitride HEMT devices in collaboration with UCSB. Recently, with the Western Australian Medical Research Institute, he has been focusing on biosensors.
欢迎广大师生参加！