Dr. Chanhaeng Rhee to present Seminar

Dr. Chanhaeng Rhee from the University of Texas Southwestern Medical Center in Dallas will present at the Seminar Monday April 24 at 1:15pm in Nedderman Hall 106. Dr. Rhee’s presentation title, abstract, and biographical sketch are below. 

Title: Improving Health Outcomes through Systems Engineering

Author: Dr. Chanhaeng Rhee

Location: Nedderman Hall Room 106
Date: Monday, April 24
Time: 1:15pm – 2:15pm

Abstract: In 2000 and 2001, the Institute of Medicine (IOM) issued two reports, “To Err Is Human” and “Crossing the Quality Chasm”. The first report estimated systems failures in healthcare delivery were responsible for at least 98,000 deaths each year. The second report revealed a wide “chasm” between the quality of care the health system should be capable of delivering today. In 2005, National Academy of Engineering and Institute of Medicine issued a report “Building a Better Delivery System: a New Engineering/Health Care Partnership”. This report was to provide a framework and action for a systems approach to healthcare delivery based on a partnership between engineers and health care professionals. I would like to demonstrate 2 cases of use of systems engineering tools to improve patient cares in the hospital (“Viewing Prevention of Catheter-Associated Urinary Tract Infection as a System: Using Systems Engineering and Human Factors Engineering in a Quality Improvement Project in an Academic Medical Center”) and outpatient setting (“Sustainable Self-Management & Elevating Wellness for Persons with Diabetes through Optimizing the Chronic Care Model”).

Biographical Sketch: Dr. Chanhaeng Rhee is an Endocrinology Specialist in Dallas, Texas. He graduated from Boston University with a BS in chemistry in 1992, from Kyungpook National University College of Medicine with an MD in 2000 and from UT Dallas with an MBA in 2012. He completed his residency at St. Elizabeth Health Center in 2004 in internal medicine and a fellowship at the University of Texas Southwestern Medical Center in 2007 in endocrinology and metabolism. Dr. Rhee is a Medical Director for Diabetes Management Program at UT Southwestern Medical Center and a Quality Officer at UT Southwestern Medical Center. Dr. Rhee affiliates with many hospitals including  William P. Clements Jr. University Hospital, Zale Lipshy University Hospital,  Parkland Health and Hospital System, and cooperates with other doctors and specialists in the medical group at UT Southwestern Medical Center in Dallas. He is a member of the American Diabetes Association, the Endocrine Society, the American Association of Clinical Endocrinologists, the Texas Medical Association, and the Dallas County Medical Society.
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Speaker Seminar -This Thursday

Chen Kan from the Department of Industrial and Manufacturing Systems Engineering at Pennsylvania State University will present a Seminar this Thursday, April 7, at 1:30pm in the Rady Room, Nedderman Hall (NH) 601.  Mr. Kan’s presentation title, abstract, and biographical sketch are below.

 

All students and faculty are encouraged to attend. Because this is a Thursday seminar, there will be no attendance sheet for GTAs and on-campus GRAs. However, there will be a student meeting on Friday at which attendance will be recorded. More on the student meeting is forthcoming.

Chen Kan -1

Author: Chen Kan

Title: Dynamic Network Modeling and Analysis of Large-scale Internet of Things with Manufacturing and Healthcare Applications

Location: Rady Room, NH 601

Date: Thursday, April 6

Time: 1:30pm – 2:50pm

 

Abstract: Rapid advancement of sensing technology brings the proliferation of high-dimensional data with complex structures. Realizing full potentials of sensing data depends on the development of new sensor-based methods and tools for process monitoring and control, as well as data-driven system optimization. However, the complexity of sensing data poses significant challenges: 1) Distributed sensing leads to multi-channel signals, which show high levels of nonlinear and nonstationary behaviors in the presence of extraneous noises. 2) Advanced imaging technology leads to 2-D, 3-D or higher dimensional functional images (i.e., dynamic and time-varying), which contain rich information about the underlying processes. 3) Internet of Things connects large amounts of machines in digital manufacturing, as well as human subjects in smart and connected health. This gives rise to big and networked data that call for next-generation methodologies for system informatics and control. The goal of my research is to develop innovative sensor-based methodologies for modeling, monitoring and optimization of large-scale complex systems. Specifically, my research focuses on the development of nonlinear and stochastic network models for process monitoring and control. This research will enable and assist in 1) the handling of massive, complex data generated from advanced sensing systems in manufacturing and healthcare settings; 2) the extraction of pertinent information about system dynamics; and 3) the exploitation of acquired knowledge for decision making and performance optimization.

 

Biographical Sketch: Chen Kan is currently a Ph.D. candidate in the Department of Industrial and Manufacturing Engineering, the Pennsylvania State University. His research focuses on wireless sensing systems and network theory for large-scale IOT-based monitoring, modeling and control of complex systems, with applications for advanced manufacturing and smart health. He was the Entrepreneurial Lead of NSF I-Corps Team of the Mobile E-network Smart Health (MESH) project in 2014. He has published multiple papers in top journals, including Journal of Manufacturing Systems, Quality and Reliability Engineering International, Computers in Biology and Medicine, IEEE Journal of Biomedical and Health Informatics, and IEEE Transactions on Automation Science and Engineering.