SUNMONTUEWEDTHUFRISAT
Events for the 3rd week of January
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Fall 2018 Joint CSC@USC/CommNetS-MHI Seminar Series
Mon, Jan 14, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dominique Duncan, University of Southern California
Talk Title: Analytic tools for identifying biomarkers of epileptogenesis after traumatic brain injury using multi-modal data and virtual reality to correct segmentation errors in MRI
Abstract: The first part of my talk focuses on identifying biomarkers that can predict epileptogenesis after traumatic brain injury (TBI). This project, The Epilepsy Bioinformatics Study for Antiepileptogenic Therapy (EpiBioS4Rx), is a multi-site, international collaboration including a parallel study of humans and an animal model, collecting MRI, EEG, and blood samples. The development of epilepsy after TBI is a multifactorial process and crosses multiple modalities. Without a full understanding of the underlying biological effects, there are currently no cures for epilepsy. This study hopes to address both issues, calling upon data generated and collected at sites spread worldwide among different laboratories, clinical sites, in different formats, and across multicenter preclinical trials. Before these data can even be analyzed, a central platform is needed to standardize these data and provide tools for searching, viewing, annotating, and analyzing them. We have built a centralized data archive that will allow the broader research community to access these shared data in addition to analytic tools to identify and validate biomarkers of epileptogenesis in images and electrophysiology as well as in molecular, serological, and tissue studies.
The second part of this talk focuses on crowdsourcing manual validation of algorithmically-segmented brain volumes using virtual reality. One of our imaging workflow processes involves algorithmic segmentation of the scans into labeled anatomical regions using FreeSurfer software. Since this automation cannot yet achieve perfect accuracy, we are working on transforming the way this is accomplished using VR technology to deal with the volumes directly in 3D space, which has been shown to be more efficient and intuitive.
Biography: Dominique Duncan is an assistant professor of Neurology at the USC Stevens Neuroimaging and Informatics Institute in the Laboratory of Neuro Imaging (LONI). She began working at LONI in 2015 as a postdoctoral scholar with Dr. Arthur Toga. Dr. Duncan's background spans mathematics, engineering, and neuroscience. She double majored in Mathematics and Polish Literature as an undergraduate at the University of Chicago and minored in Computational Neuroscience. She earned her PhD in Electrical Engineering at Yale University. In her PhD thesis, she analyzed intracranial EEG data using nonlinear factor analysis to identify preseizure states of epilepsy patients. After graduation, she was a professor of Mathematics at Sichuan University in Chengdu, China for a summer program where she taught Calculus 2, Calculus 3, and Linear Algebra to undergraduate students. She then took a postdoctoral position in Neurology at the Stanford University School of Medicine as well as one in Mathematics at UC Davis, where she developed an algorithm based on diffusion maps to classify Alzheimer's patients using MRI. Her current projects include combining machine learning and crowdsourcing segmentation error corrections in neuroimaging data using virtual reality, developing analytic tools to identify biomarkers of epileptogenesis after traumatic brain injury, and building a multi-modal data repository for human invasive recordings.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Info: http://csc.usc.edu/seminars/2019Spring/duncan.html
More Information: 19.01.14 Dominique Duncan CSCUSC Seminar.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Brienne Moore
Event Link: http://csc.usc.edu/seminars/2019Spring/duncan.html
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Control-System Interactions in Cyber-Physical Infrastructures
Wed, Jan 16, 2019 @ 03:00 PM - 04:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sandip Roy , School of Electrical Engineering and Computer Science at Washington State University
Talk Title: Control-System Interactions in Cyber-Physical Infrastructures
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Cyber- technologies are enabling a new paradigm for control in modern infrastructure networks, centered around client-catered and mission-adaptive decision-making. While this new paradigm holds remarkable promise, it also brings forth fundamental new challenges in infrastructure controls engineering, including growing democratization of control authority, increasing vulnerability to cyber attacks and failures, dependence on ad hoc sensing, and concern about system-wide cascading events. In this talk, the new paradigm and attendant challenges in infrastructure-network control are illustrated in two very different application domains: deployment of new wide-area controls to damp oscillations in the bulk power grid, and management of emergent antibiotic-resistant emergent infections at multiple scales. Then, a research program for assessing and designing infrastructure controls is envisioned, which is based on understanding interactions among control systems in dynamical networks. Specifically, four directions of work are overviewed: 1) input-output (channel) analysis for dynamical networks, 2) control-channel interaction assessment, 3) channel-preserving model reduction, and 4) ad hoc sensing-based control. Preliminary theoretical results and contributions to several application domains, including the two motivating applications, are presented.
Biography: Sandip Roy is a Professor in the School of Electrical Engineering and Computer Science at Washington State University. His research is concerned with developing techniques for the estimation and control of network dynamics, and applying these techniques to support the wide-area management of cyber-physical infrastructures. This research has yielded algorithms and decision-support software that are being prototyped in the United States air traffic management system and the Western U.S. power grid. Recently, he has been also interested in developing network-controls techniques for epidemiological and neuroscience applications. The outcomes of the research are described in about 70 journal papers and 130 conference papers across multiple disciplines.
Host: Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White