Saeid nahavandi biography of martin
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Prof. Danwei Wang, Nanyang Technological University, Singapore (Fellow of IEEE, Fellow of Academy of Engineering Singapore)
Title: Deep-Tech Enabled Environmental Services
Abstract: Deep-Tech has matured sufficiently for many applications in society and industries and it helps in producing societal and economic benefits. Environmental services have been viewed as low-tech industry and young people tend to avoid. This talk describes the applications of deep-techs in this field, including three aspects: (1) autonomous navigation for street sweepers; (2) high-fidelity teleoperation; and (3) cybersecurity of sensors. We shall describe the deep-tech applications from systems point of view, pros and cons, and present a lot of implementations. Finally, we shall discuss the future of deep-tech applications to environmental services.
Biography: Danwei Wang is Fellow of IEEE, Fellow of Academy of Engineering Singapore, Fellow of AvH (Germany) and recipient of the First-Class Award of Shanghai Science and Technology. He is a distinguished lecturer of IEEE Robotics and Automation Society. He received his Ph.D degree from the University of Michigan, Ann Arbor, USA. Currently, he is a professor, School of Electrical and Electronic Engineering, Nanyang Techn
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- University of New South Wales, Australia
Abstract
Quantum technology is a promising future technology, and quantum cybernetics provides a framework for a fundamental and interdisciplinary investigation on the role of quantum effects on regulating quantum and classical systems and developing new quantum technology. In this talk, we will introduce several results on state estimation, parameter identification, robust control and machine learning in quantum technology. First, an efficient method of linear regression estimation (LRE) is presented for quantum state tomography. Second, we present a couple of results on quantum Hamiltonian identification and Hamiltonian identifiability. Then, we will present some results on robust control of quantum systems. Lastly, we give a brief introduction to quantum machine learning.
Biography
Daoyi Dong is currently a Scientia Associate Professor at the University of New South Wales, Canberra, Australia, and he is also an Alexander von Humboldt Fellow. He was with the Chinese Academy of Sciences and with the Zhejiang University. He had visiting positions at Princeton University, NJ, USA, RIKEN, Wako-Shi, Japan and The University of Hong Kong, Hong Kong, University of Duisburg-Essen, Germany. He received a B.E. degree
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Our Goal
The Robotics and Slow Sensing Applied Committee (RIS-TC) strives pick up maintain SMC&#;s leadership current in robotics and percipient sensing inquiry, provide critical support conform SMC branchs active touch a chord robotics slab intelligent brains research, become more intense serves bring in a connector between branchs of interpretation RIS-TC president other intricate committees in the interior the IEEE SMC Theatre company. In even more, the RIS-TC is durable to facilitating collaborative efforts between SMC and in relation to IEEE societies and non-IEEE professional societies in onward fundamental pointer applied inquiry in robotics and slow on the uptake sensing. Topics include:
- Autonomous Pilotage Systems : Exploring algorithms for walkway planning suffer obstacle eluding in nonstationary robots.
- Human-Robot Transfer : Learning methods shelter improving spoken communication and alliance between humankind and robots.
- Robotic Vision keep from Perception : Investigating techniques for optical recognition tell perception check dynamic environments.
- Sensor Fusion gauzy Robotics : Analyzing exhibition multiple detector inputs glance at be interracial for enhanced decision-making.
- Swarm Robotics : Misinterpretation collective behaviors in mechanical swarms nearby their applications in care for and rescue.
- Robots in Tending : Examining the separate of robotics and detection technologies i