Yong Kim

Yong Kim

Chancellor Professor

Bioengineering

508-999-8452

508-999-9139

{mkoBwocuuf0gfw

Textiles 216


Education

1981North Carolina State UniversityPh.D. in Fiber and Polymer Science
1974Seoul National University, Korea (south)M.S. in Textile Engineering
1970Seoul National University, Korea (south)B.S. in Textile Engineering

Teaching

Programs

Teaching

Courses

A study of the basic and advanced concepts in the systematic design of experiments and the statistical methods for analyzing them. Bioengineering experiments such as single factor, factorial, fractional factorial, and Taguchi designs are explored. Statistical procedures are utilized to study data from clinical trials, bioengineering research and biomedical device design and manufacturing processes.

The properties, structures and rheology of soft condensed matter and complex fluids such as polymer melts, colloids, gels, liquid crystals and amphiphiles. Basic thermodynamics and dynamics of soft materials and complex fluids found in biological systems are discussed. A wide range of applications in biosoft materials are also exemplified.

Structure and properties of functionally advanced and intelligent fibrous structures and polymeric fiber reinforced composites for biomedical applications. Also studied are polymeric material systems for coating, adhesives and polymeric matrices, and fibrous scaffold structures including nanofiber webs, and reinforcing performs for composites such as knitted or woven fabrics, 3-D fabrics, nonwovens, braided and knotted structures. Properties of the resulting structures and their application areas such as nanobiocomposites, biomedical fibrous composites, and other multifunctional products are considered.

Biomedical signal characteristics, properties of physiological systems, and mathematical modeling of signals from biosystems and biomedical instrumentation. Applied mathematical methods for describing and analyzing biomedical signals such as ECG, EEG, EMG, heart sounds, breath sounds, blood pressure, and tomographic images are considered. Computational, modeling and simulation tools (e.g., MatLab and LabView) are introduced for biomedical signal processing and systems analysis. A group computer project in bioengineering design will be assigned to enhance the proficiency in using the modeling and simulation tools.

Biomedical signal characteristics, properties of physiological systems, and mathematical modeling of signals from biosystems and biomedical instrumentation. Applied mathematical methods for describing and analyzing biomedical signals such as ECG, EEG, EMG, heart sounds, breath sounds, blood pressure, and tomographic images are considered. Computational, modeling and simulation tools (e.g., MatLab and LabView) are introduced for biomedical signal processing and systems analysis. A group computer project in bioengineering design will be assigned to enhance the proficiency in using the modeling and simulation tools.

Biomedical signal characteristics, properties of physiological systems, and mathematical modeling of signals from biosystems and biomedical instrumentation. Applied mathematical methods for describing and analyzing biomedical signals such as ECG, EEG, EMG, heart sounds, breath sounds, blood pressure, and tomographic images are considered. Computational, modeling and simulation tools (e.g., MatLab and LabView) are introduced for biomedical signal processing and systems analysis. A group computer project in bioengineering design will be assigned to enhance the proficiency in using the modeling and simulation tools.

Biomedical signal characteristics, properties of physiological systems, and mathematical modeling of signals from biosystems and biomedical instrumentation. Applied mathematical methods for describing and analyzing biomedical signals such as ECG, EEG, EMG, heart sounds, breath sounds, blood pressure, and tomographic images are considered. Computational, modeling and simulation tools (e.g., MatLab and LabView) are introduced for biomedical signal processing and systems analysis. A group computer project in bioengineering design will be assigned to enhance the proficiency in using the modeling and simulation tools.

Biomedical signal characteristics, properties of physiological systems, and mathematical modeling of signals from biosystems and biomedical instrumentation. Applied mathematical methods for describing and analyzing biomedical signals such as ECG, EEG, EMG, heart sounds, breath sounds, blood pressure, and tomographic images are considered. Computational, modeling and simulation tools (e.g., MatLab and LabView) are introduced for biomedical signal processing and systems analysis. A group computer project in bioengineering design will be assigned to enhance the proficiency in using the modeling and simulation tools.

Biomedical signal characteristics, properties of physiological systems, and mathematical modeling of signals from biosystems and biomedical instrumentation. Applied mathematical methods for describing and analyzing biomedical signals such as ECG, EEG, EMG, heart sounds, breath sounds, blood pressure, and tomographic images are considered. Computational, modeling and simulation tools (e.g., MatLab and LabView) are introduced for biomedical signal processing and systems analysis. A group computer project in bioengineering design will be assigned to enhance the proficiency in using the modeling and simulation tools.

The properties, structures and rheology of soft condensed matter and complex fluids such as polymer melts, colloids, gels, liquid crystals and amphiphiles. Basic thermodynamics and dynamics of soft materials and complex fluids found in biological systems are discussed. A wide range of applications in biosoft materials are also exemplified.

Research

Research Awards

  • $15000.00 Creating the Ultimate Ballistic Body Armor (UBBA) Material Structure

Request edits to your profile