Recent instrument developments in NOAA/ESRL/CSD and their applications in atmospheric research
9:30
Talk & Lecture
1
886865
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2018-10-26
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Venue: Room 211, No. 6 Teaching Building, Yuquan CampusSpeaker: Ru-Shan Gao is a Supervisory Research Physicist and the Program Leader of the NOAA Earth System Research Laboratory Atmospheric Compositions and Chemical Processes Group. He has significant experience with NASA and NOAA airborne science missions in instrument and mission science lead roles. His specialty is developing instruments for airborne in situ measurements of aerosol and gas-phase species in the troposphere and lower stratosphere.
Ru-Shan Gao, research physicist, Atmospheric Composition & Chemical Processes, NOAA
Ru-Shan Gao
2018-10-29 14:41:17
Yuquan Campus
Security in cyber-physical systems -- A control systems perspective
15:00
Talk & Lecture
2
886907
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2018-10-22
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Venue: Room 105, New Building of Institute of Industrial Process Control, Yuquan CampusSpeaker: Professor Petros G. Voulgaris received the Diploma in AAechanical Engineering from the National Technical University, Athens, Greece, in 1986, and the S.M. and Ph.D. degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 1988 and 1991, respectively. Since 1991, he has been with the Department of Aerospace Engineering, University of Illinois where he is currently a Professor (also appointments with the Coordinated Science Laboratory, and the department of Electrical and Computer Engineering.) His research interests include optimal, robust and distributed control and estimation; networked control; applications of advanced control methods to engineering practice including, power systems, air-vehicle, nano-scale, robotic, and structural control systems. Dr. Voulgaris is a recipient of several awards including the NSF Research Initiation Award, the ONR Young Investigator Award and the UIUC Xerox Award for research. He has also been a Visiting ADGAS Chair Professor, Mechanical Engineering, Petroleum Institute, Abu Dhabi, UAE (2008-10). His research has been supported by several agencies including NSF, ONR, AFOSR, NASA, and Boeing totalling more than $12 million of funded projects. He is also a Fellow of IEEE.
Petros Voulgaris, IEEE Fellow Professor of Aerospace Engineering, University of Illinois at Urbana-Champaign
Petros G. Voulgaris
2018-10-26 14:56:24
Yuquan Campus
Environmental and energy geomechanics: Challenges and opportunities
15:00-16:30
Talk & Lecture
3
884475
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2018-10-22
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Venue: Room A326, College of Civil Engineering and Architecture, Anzhong Building, Zijingang Campus
Prof. Marcelo Sanchez, Zachry Department of Civil Engineering, Texas A&M University
Marcelo Sanchez
2018-10-26 11:26:03
Anzhong Building
Beyond editing: Exploring and engineering a living genome using dead Cas molecules
14:00
Talk & Lecture
4
884581
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2018-10-22
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Venue: Room 205, Administrative Building, School of Medicine, Zijingang CampusSpeaker: Dr. Stanley Qi is Assistant Professor in the Department of Bioengineering and the Department of Chemical & Systems Biology at Stanford University. He is a core faculty scholar in Stanford ChEM-H Institute.
Dr. Stanley Qi is Assistant Professor in the Department of Bioengineering and the Department of Chemical & Systems Biology at Stanford University. He is a core faculty scholar in Stanford ChEM-H Institute.
Stanley Qi
2018-10-26 14:05:39
School of Medicine
On Holo-Hilbert Spectral Analysis
15:00-16:00
Talk & Lecture
5
885298
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2018-10-22
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Venue: Room 201, No. 12 Teaching Building, Yuquan CampusSpeaker: Dr. Norden E. Huang, Innovation Center, First Institute of Oceanography and Center for Nonlinear Sciences, Qingdao National Laboratory for Marine Science and TechnologyDr. Norden Huang holds a BS Engineering Degree from National Taiwan University (1960) and a PhD in fluid mechanics and mathematics from the Johns Hopkins University (1967). Currently, he is the founding directors for the Innovation Center and the Data Analysis Laboratory at the First Oceanographic Institute, SOA, Qingdao. He was also the founding directors of the Research Center for Adaptive Data Analysis and Research Center for Dynamical Biomarkers and Translational Medicine at the National Central University, Zhongli, Taiwan, China (2006-2017). Most of his career is in NASA (1975-2006), where he had developed the adaptive Hilbert-Huang Transform (HHT), designed to analyze nonstationary and nonlinear data. For this invention, he was awarded the 1998 NASA Special Space Act Award with the citation, ‘[Dr. Huang’s new method] is one of the most important discoveries in the field of applied mathematics in NASA history.’ ‘For contributions to the analysis of nonlinear stochastic signals and related mathematical applications in engineering, biology, and other sciences (NAE Citation),’ he was elected as members of the National Academy of Engineering, 2000; Academia Sinica, 2004; and a Foreign Member of the Chinese Academy of Engineering, 2006.Recently, he has developed the Holo-Hilbert Spectral Analysis (HHSA) and Intrinsic Probability Density distribution, which reveal new information on inter-wave interactions for nonlinear and nonstationary phenomena. Applications of HHSA on EEG and turbulence data are the areas of his active research, with the collaboration with Oxford University Center for Human Brain Activity and Harvard and Stanford Medical School.AbstractTraditionally, spectral analysis is defined as transform the time domain data to frequency domain. It is achieved through integral transforms based on additive expansions of a priori determined basis, under linear and stationary assumptions. For nonlinear processes, the data can have both amplitude and frequency modulations generated by intra-wave and inter-wave interactions involving both additive and nonlinear multiplicative processes. Under such conditions, the additive expansion could not fully represent the physical processes resulting from multiplicative interactions. Unfortunately, all existing spectral analysis methods are based on additive expansions, based either on a priori or adaptive bases. While the adaptive Hilbert spectral analysis could accommodate the intra-wave nonlinearity, the inter-wave nonlinear multiplicative mechanisms that include cross-scale coupling and phase lock modulations are left untreated. To resolve the multiplicative processes, we propose a full informational spectral representation: The Holo-Hilbert Spectral Analysis (HHSA), which would accommodate all the processes: additive and multiplicative, intra-mode and inter-mode, stationary and non-stationary, linear and nonlinear interactions, through additional dimensions in the spectrum to account for both the variations in frequency and amplitude modulations (FM and AM) simultaneously. Applications to wave-turbulence interactions to brain electric waves will be presented to demonstrate the usefulness of this new spectral representation.
Dr. Norden E. Huang, Innovation Center, First Institute of Oceanography and Center for Nonlinear Sciences, Qingdao National Laboratory for Marine Science and Technology
Norden E. Huang
2018-10-25 09:37:22
Yuquan Campus
The spectral theorem, singular values, and facial recognition
10:45-11:45
Talk & Lecture
6
884504
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2018-10-21
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Venue: Run Run Shaw Business Administrative Building, Yuquan CampusSpeaker: Professor John H. Hubbard, professor at the Department of Mathematics, Cornell UniversityAbstract:As probably many of you know, Facebook is capable of putting names on faces in pictures that you send them. How do they do it? The information is proprietary, but one can listen to whispers from experts. In this lecture I propose to describe at least part of what Facebook does: an algorithm known as Eigenfaces. The main point I want to make is that Eigenfaces is straightforward linear algebra, having to do with eigenvalues and eigenvectors, orthogonal projections, etc.
Professor John H. Hubbard, professor at the Department of Mathematics, Cornell University
John H. Hubbard
2018-10-25 11:56:34
Yuquan Campus
Global analysis of post-transcriptional gene regulation in drosophila
16:00
Talk & Lecture
7
878124
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2018-10-17
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Venue: Room 457, Nano Building, Zijingang CampusSpeaker: Howard David Lipshitz is a Professor in the Department of Molecular Genetics at the University of Toronto. His research interests are genetic models of development and disease and functional genomics and proteomics.
Howard Lipshitz is a Professor in the Department of Molecular Genetics at the University of Toronto.
Howard D. Lipshitz
2018-10-23 14:37:37
Nano Building
Prediction and inference under competing risks in high dimension
16:00
Talk & Lecture
8
877602
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2018-10-17
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Venue: Room 200-9, Run Run Shaw Business Administrative Building, Yuquan CampusSpeaker:Ronghui Xu, Dr./ ProfessorProfessor of Statistics and BiostatisticsDepartment of Family Medicine and Public Health and Department of MathematicsUniversity of California, San DiegoAbstract:Prediction and Inference under Competing Risks in High Dimension - An EHR Demonstration Project for Prostate CancerThe work was motivated by the analysis project using the linked SEER-Medicare database to predict cancer versus non-cancer mortality in men of age 65 years or older who were diagnosed with prostate cancer. We consider existing R package implementations that are computationally feasible for such data sets with up to 100,000 human subjects and over 20,000 claim codes. We carried out simulation studies to compare lasso for cause-specific hazards regression and boosting for Fine-Gray sub-distribution regression models with different approaches to choosing the penalty parameters, with the goal of prediction accuracy of the cumulative incidence rates at 2 and 5 years from baseline. Separately, we also developed methods for constructing confidence intervals of the regression effects of predictors (clinical variables and claim codes) under the Fine-Gray model in high dimensions, using the one-step estimator along the line of van de Geer et al. (2014) and Zhang and Zhang (2014). The extension though, is non-trivial under competing risks and Cox type model formulation. The results of the SEER-Medicare database analysis will be presented.
Ronghui Xu, Professor of Statistics and Biostatistics, University of California, San Diego
Ronghui Xu
2018-10-23 10:38:59
Yuquan Campus
Race to the top: public supervision and local environmental information transparency in China
13:30
Talk & Lecture
9
877610
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2018-10-16
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Venue: Room 250, Mong Man Wai Building, Zijingang CampusSpeaker:Rui Wang is Associate Professor of Energy, Resources and Environment at the the Paul H. Nitze School of Advanced International Studies, Johns Hopkins University. He received BS,BAand MS from Peking University and a Ph.D. in Public Policy from Harvard University Kennedy School of Government.He specializes in public policy analysis for sustainable development, especially on cities, the environment, and China. He teaches Applied Policy Analysis with Cases in Sustainable Development, Cities: Toward Sustainable Prosperity, and Global Environment Fundamentals. He is the inaugural SAIS China Yeung Family Endowed Scholar and a faculty fellow of the SAIS Initiative for Sustainable Energy Policy. He serves on the editorial boards of Transportation Research Part D: Transport and Environment and the Journal of Transportation and Statistics. He has also consulted for the Beijing Municipal Institute of City Planning and Design, the U.S. Department of Housing and Urban Development, and the World Bank.
Rui Wang is Associate Professor of Energy, Resources and Environment at the the Paul H. Nitze School of Advanced International Studies, Johns Hopkins University.
Rui Wang
2018-10-19 11:04:01
Zijingang Campus