{随机关键字1} http://ex8jl.islandspics.com:443 The SMARTech digital repository system captures, stores, indexes, preserves, and distributes digital research material. 2021-04-23T14:51:22Z {随机关键字1} http://hdl.handle.net/1853/64457 Georgia Tech PTRC Annual Activities Report, 2020-2021 Li, Lisha 2021-03-01T00:00:00Z Li, Lisha {随机关键字1} http://hdl.handle.net/1853/64456 Quantum Magnetism from the Iron Age to Today Arovas, Daniel The quantum theory of magnetism has provided many durable paradigms for quantum phases of matter, including intrinsically quantum disordered states, symmetry-protected topological phases, and quantum spin liquids. It also served as a birthing ground for many important developments in the theory of quantum phase transitions. In this lecture, I will review some of the history and highlights of this very rich field. Presented online on April 12, 2021 at 3:00 p.m.; Daniel Arovas is a Professor in the Department of Physics at the University of California, San Diego. He is primarily interested in theories of strongly correlated quantum systems, particularly in low dimensions where quantum fluctuations can lead to interesting and exotic new states of matter.; Runtime: 92:41 minutes 2021-04-12T00:00:00Z Arovas, Daniel The quantum theory of magnetism has provided many durable paradigms for quantum phases of matter, including intrinsically quantum disordered states, symmetry-protected topological phases, and quantum spin liquids. It also served as a birthing ground for many important developments in the theory of quantum phase transitions. In this lecture, I will review some of the history and highlights of this very rich field. {随机关键字1} http://hdl.handle.net/1853/64455 Dissecting hand dexterity and recovery processes for effective rehabilitation Xu, Jing Hand dexterity is the hallmark of human skill and intelligence. From Pablo Casals’ sublime cello playing to the mundane task of tying one’s shoelace, the level of dexterity in humans stands out among our primate relatives. How we achieve such seamless skill is still a mystery. How to repair them once lost after neurological injury remains a formidable challenge. In this talk, I will first present findings from our recent longitudinal study on acute stroke recovery. Using behavioral and lesion analyses, we show that largely separable biological systems support fine finger control and strength, as well as their recovery. This finding suggests that hand dexterity needs to be targeted separately for rehabilitation. I will then discuss our recent effort in designing sensitive tools and tasks for assessing and rehabilitating hand dexterity. Lastly, I will discuss our initial attempt to gain a comprehensive understanding of hand dexterity by directly comparing two major traditional paradigms of dexterity: finger individuation and precision grip. Presented online on April 12, 2021 at 11:15 a.m.; Jing Xu is an Assistant Professor in the Department of Kinesiology at the University of Georgia (UGA), and the director of the Cognition and Dexterity (CoDex) Laboratory and co-director of the Neurostimulation Laboratory at UGA. Her research focus is in human hand function and neurorehabilitation.; Runtime: 59:31 minutes 2021-04-12T00:00:00Z Xu, Jing Hand dexterity is the hallmark of human skill and intelligence. From Pablo Casals’ sublime cello playing to the mundane task of tying one’s shoelace, the level of dexterity in humans stands out among our primate relatives. How we achieve such seamless skill is still a mystery. How to repair them once lost after neurological injury remains a formidable challenge. In this talk, I will first present findings from our recent longitudinal study on acute stroke recovery. Using behavioral and lesion analyses, we show that largely separable biological systems support fine finger control and strength, as well as their recovery. This finding suggests that hand dexterity needs to be targeted separately for rehabilitation. I will then discuss our recent effort in designing sensitive tools and tasks for assessing and rehabilitating hand dexterity. Lastly, I will discuss our initial attempt to gain a comprehensive understanding of hand dexterity by directly comparing two major traditional paradigms of dexterity: finger individuation and precision grip. {随机关键字1} http://hdl.handle.net/1853/64454 Generative models based on point processes for financial time series simulation Wei, Qi In this seminar, I will talk about generative models based on point processes for financial time series simulation. Specifically, we focus on a recently developed state-dependent Hawkes (sdHawkes) process to model the limit order book dynamics [Morariu-Patrichi, 2018]. The sdHawkes model consists of an oracle Hawkes process and a state process following Markov transition. The Hawkes and state processes are fully coupled, which enables the point process captures the self- and cross-excitation as well as the interaction between events and states. We will go through the model formulation in sdHawkes, the simulation of sdHawkes, its maximum likelihood estimation, and more importantly, its application to high-frequency data modeling that captures the interactions between the order flow and the state of the current market. Morariu-Patrichi, Maxime, and Mikko S. Pakkanen. "State-dependent Hawkes processes and their application to limit order book modelling." arXiv preprint arXiv:1809.08060 (2018). Presented online on April 7, 2021 at 12:15 p.m.; Qi Wei has worked on multiband image processing as a Research Associate with Signal Processing Laboratory, University of Cambridge, UK, and as a Research Associate at Duke University, US. He has also worked at Siemens Corporate Technology as a Research Scientist. Since 2018, Wei served as a vice president and machine learning scientist at JPMorgan. His research has been focused on machine/deep learning, time series analysis, computer vision/image processing, Bayesian statistical inference, etc.; Runtime: 61:45 minutes 2021-04-07T00:00:00Z Wei, Qi In this seminar, I will talk about generative models based on point processes for financial time series simulation. Specifically, we focus on a recently developed state-dependent Hawkes (sdHawkes) process to model the limit order book dynamics [Morariu-Patrichi, 2018]. The sdHawkes model consists of an oracle Hawkes process and a state process following Markov transition. The Hawkes and state processes are fully coupled, which enables the point process captures the self- and cross-excitation as well as the interaction between events and states. We will go through the model formulation in sdHawkes, the simulation of sdHawkes, its maximum likelihood estimation, and more importantly, its application to high-frequency data modeling that captures the interactions between the order flow and the state of the current market. Morariu-Patrichi, Maxime, and Mikko S. Pakkanen. "State-dependent Hawkes processes and their application to limit order book modelling." arXiv preprint arXiv:1809.08060 (2018).