The Hilltop Institute at Umbc
Senior Data Scientist
The Hilltop Institute at Umbc Nov 2018 - Oct 2019
Data Scientist and Policy Analyst
University of Maryland Baltimore County Nov 2018 - Oct 2019
Affiliate Assistant Professor at Department of Computer Science and Electrical Engineering
The Hilltop Institute at Umbc Jul 2016 - Nov 2018
Policy Analyst
University of Maryland Baltimore County Jul 2016 - Nov 2018
Adjunct Professor at Department of Mathematics and Statistics
Education:
Louisiana Tech University 2009 - 2014
Doctorates, Doctor of Philosophy, Philosophy
Louisiana Tech University 2013 - 2011
Masters, Statistics
Louisiana Tech University 2009 - 2012
Huaqiao University
Masters, Mathematics
China University of Geosciences
Bachelors, Applied Mathematics
Skills:
Statistics Data Analysis Matlab R Numerical Analysis Machine Learning Algorithms Mathematical Modeling Research Computer Science Sas Certified Base Programmer Data Mining Python Sas Viya Fhir of Hl7 Sas Viya Adminitstation Watson Analytics Amazon Web Services Sql Ms Sql Server Sas Enterprise Miner Optimization Git Ohdsi Pandas Django Latex Mysql Apache Spark Crisp Dm Azure Devops Linux Predictive Analytics Jmp
Certifications:
Fda's Clinical Investigator Training Course Sas Certified Base Programmer For Sas 9 Practical Machine Learning The Data Scientist’s Toolbox Access 2013 Programming With Vba Access 2013 Advanced License Bp031362V9 License 3F6F64 License 25D091 Data Science: R Basics Fda's Clinical Training Course Sas Macro Language 1: Essentials Designing the Database To Support Sas Marketing Automation Social Network Analysis For Business Applications Advanced Statistical Modeling Using the Nlmixed Procedure Determining Power and Sample Size Using Sas/Stat Software Establishing Causal Inferences: Propensity Score Matching, Heckman's Two-Stage Model, Interrupted Time Series, and Regression Discontinuity Models Conjoint Analysis: Evaluating Consumer Preferences Using Sas Software Advanced Analytics In A Big Data World Structural Equation Modeling Using Sas Robust Regression Techniques In Sas/Stat Sas Viya 3.2 Administration: Fundamentals Predictive Modeling Using Logistic Regression Spark For Machine Learning & Ai Survival Data Mining: A Programming Approach Learning Linux Shell Scripting
Ucla Jul 2016 - Nov 2017
Postdoctoral Fellow
Siemens Healthcare Jul 2016 - Nov 2017
Senior Scientist
David Geffen School of Medicine at Ucla Jul 2012 - May 2016
Graduate Student Researcher
Siemens Healthcare May 2014 - Aug 2014
Cardiovascular Pulse Sequence Development
Education:
University of California, Los Angeles 2011 - 2015
Doctorates, Doctor of Philosophy, Biomedical Engineering, Bioengineering, Philosophy
Shanghai Jiao Tong University 2009 - 2011
Master of Science, Masters, Electronics Engineering
Shanghai Jiao Tong University 2005 - 2009
Bachelors, Bachelor of Science, Electrical Engineering
Skills:
Mri Matlab Medical Imaging Image Processing Simulations Algorithms C++ Java Signal Processing Biomedical Engineering Research Linux
- Erlangen, DE Vibhas S. Deshpande - Austin TX, US Marcel Dominik Nickel - Herzogenaurach, DE Fei Han - Beverly Hills CA, US
International Classification:
G01R 33/48 G01R 33/58
Abstract:
A system and method for performing accelerated k-space shift correction calibration scans for non-Cartesian trajectories is provided. The method can include applying an MRI sequence, performing a calibration scan based on the MRI sequence using the non-Cartesian trajectory to acquire k-space shift data, wherein one or more partitions are skipped during the calibration scan, interpolating the skipped one or more partitions using the k-space shift data from adjacent partitions, and calibrating the MRI system using the k-space shift data and the interpolated k-space shift data. In some embodiments, an acceleration factor Acc can be defined and the calibration scan acquires k-space shift data for only one partition in every Acc partitions.
Hybrid Inversion Pulse For Magnetic Resonance Imaging
- Erlangen, DE Xiaoming Bi - Oak Park CA, US Fei Han - Beverly Hills CA, US
International Classification:
G01R 33/56 G01R 33/563
Abstract:
An imaging system includes determination of a first gradient-modulated offset-independent adiabaticity pulse associated with a first bandwidth and a first gradient strength, determination of a second gradient-modulated offset-independent adiabaticity pulse associated with a second bandwidth less than the first bandwidth and a second gradient strength less than the first gradient strength, determination of a third asymmetric adiabatic pulse based on the first gradient-modulated offset-independent adiabaticity pulse and the second gradient-modulated offset-independent adiabaticity pulse, and control of a radio frequency system and gradient system to apply the third asymmetric adiabatic pulse to patient tissue.
Cardiac Phase-Resolved Non-Breath-Hold 3-Dimensional Magnetic Resonance Angiography
3D cine MR angiography systems and methods are disclosed for use during the steady state intravascular distribution phase of ferumoxytol. The 3D cine MRA technique enables improved delineation of cardiac anatomy in pediatric patients undergoing cardiovascular MRI.
Method For Accurate And Robust Cardiac Motion Self-Gating In Magnetic Resonance Imaging
- Oakland CA, US Fei HAN - Los Angeles CA, US Stanislas RAPACCHI - Los Angeles CA, US
International Classification:
A61B 5/00 A61B 5/055
Abstract:
Self-gating methods and Systems are provided for cardiac imaging analysis. In particular, non-phased coded self-gating data are collected separately from imaging data. The method uses multiple coil arrays to repeatedly acquire self-gating signals that are separate from image acquisitions. Learning-based algorithms are used in data processing to detect a triggering event, such as the onset of a heartbeat.