Dr Mira Park

Lecturer

School of Electrical Engineering and Computing (Information Technology)

Career Summary

Biography

Mira Park graduated with a PhD in Computer Science Engineering from the University of New South Wales in 2003. During 2004~2005, she worked as a research fellow in the Computer Science and Software Engineering department at the University of Melbourne. She is a research fellow in the school of Design, Communication and IT at the University of Newcastle. Her research interests are Computer Vision, Pattern Recognition, and Medical Imaging.

Research Expertise
Research Expertise " Complex data management (3D volumes medical images) " Concept-based image retrieval " Pattern recognition " Intelligent computer aided diagnosis using incremental knowledge acquisition " Machine learning, Data mining " Medical image analysis (Chest Radiography, Intracranial CT angiography, CT colonography) " Generic image processing algorithms (segmentation, edge detection, texture analysis) " Multimedia " Health informatics " Concept-based image retrieval " Medical image analysis Projects " Computer aided polyp detection in the Colon Computed Tomography: The main objective of this project is to provide the proof of concept for computer aided polyp detection imaging system. The function of this system is to apply sophisticated image software and computer algorithms to assist radiologists and radiographers in the detection of regions of interest (ROI) or suspicious regions, which may relate to cancer risk or prognosis. It has been reported that in the United States alone, colon caner is the second leading cause of cancer deaths, contributing to the order of 60,000 deaths per year. It has been shown that the early detection and removal of polyps can reduce the risk of colon cancer, thus acting as a deterrent to colorectal. " Computer aided aneurysm detection in the intracranial Computed Tomographic Angiography: The project aims to develop a new generation of computer aided detection (CAD) system that caters for the emerging needs of scientists, radiologists and industries in assisting the detection and characterisation of intracranial aneurysms through computer tomography angiography (CAT). Increased accuracy and reduced time in the detection of intracranial aneurysms on CTA can facilitate earlier detection with the potential to save lives and function. The CAD system will employ sophisticated image processing algorithms for assisting radiologists in the detection of suspicious regions which may represent aneurysms. The regions then are characterised by stochastic and machine learning methods. " Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study: Since 80% of the critical decisions made in medicine involve a pathology test or radiology examination, Pathology/radiology Informatics has emerged as an arm for developing next-generation pathology/radiology reporting methods, databases, imagery, and diagnostics. Current archiving systems are very primitive, restricting any sophisticated use of the reports. This proposal aims to collaborate with IntelliRAD in developing an innovative pathology/radiology report archiving system capable of automatically extracting useful information. This system will make a smart use of pathology/radiology data and open a new way to extend current tests and examinations from being disease-focussed to being wellness focussed. " PhD project: My research topic was Intelligent Computer Aided Diagnosis for Chest Radiography. The research was carried out at CSIRO Telecommunication and Industrial Physics. The aim of this research was to produce an efficient method for the interpretation of chest radiographs using computer vision perception of objects and patterns. I have also built an intelligent computer aided diagnosis system for merging the radiological findings of the extracted features into an intelligent diagnosis using machine leaning scheme. This project was supported by a Faculty of Engineering Research Scholarship in University of New South Wales. " Automatic optic disc detection in a retinal image: The optic nerve is one of the most important organs in the human retina. The detection of the optic disc (OD) is an essential step in the automatic analysis of digital colour fundus images.

Teaching Expertise
" Lecture & Tutorial: INFT1004 (Visual Programming), INFT2008 (Information system programming), INFT2009(System and software development), INFT3009(Web database interfacing), INFT3201 (Multimedia Transmission, Storage & Management) " Tutor (2000~2002, COMP1021 Computer Programming, The University of New South Wales) " Instructor (1990~1991, Han-Kook Computer Institution in South Korea) " 1st qualified field to lecture: Digital Image processing and Multimedia: My main background subjects for PhD research were digital image processing and multimedia. Therefore, o Graphics and Computation o Modeling, Analysis and Visualisation o Computer Vision and Image Processing " 2nd qualified field to lecture: Computer Languages, Computer Architecture, Data Structure and Algorithms: I have teaching experiences as a private instructor and a tutor in computer languages such as C/C++, Fortran, Pascal, Java etc., computer data structure and algorithms (Details in CV). Therefore, o Introduction to Programming - Advanced o Algorithmic Problem Solving - Advanced o Introduction to Programming o Algorithm Problem Solving o Algorithms and Data Structures " 3rd qualified field to lecture: Databases, Artificial Intelligent and Soft Engineering: I have research experiences through Master and PhD courses on Databases, Artificial Intelligent and Soft Engineering. Therefore, o Software Design o Artificial Intelligence o Operating Systems o Database Systems o Programming Language Implementation.

Administrative Expertise
I am able to contribute to the administrative work through my experiences in part time work as an office worker at the education consulting and the travel agency. I am also able to contribute effectively to the administrative work using my knowledge gained from two certificates as follows. 7377 Certificate in Bookkeeping and Financial Skills 1998 South Western Sydney Institute, Granville College Areas of study " Bookkeeping (Accounts Receivable, Accounts Payable, General Ledger) " Financial Source Documents " Computerised, MYOP (Accounts Receivable, Accounts Payable, General Ledger) " Cash records, Cash book, Payroll, Bank deposits, Petty cash " Spreadsheet, Word processing National Technical Qualification Certificate for Information Processing 1990 Republic of Korea Registration No.: 90202100094Z Class No.: 1320 Class Name: Information Process Engineer.

Collaborations
I undertook my PhD thesis on 'Intelligent Computer Aided Diagnosis System for Chest Radiography', performing research in partnership with the CSIRO eHealth Research Centre. This project was primarily concerned with developing computer systems which use more effective image processing algorithms in combination with artificial intelligence and machine learning technologies to detect and accurately identify abnormal features in chest radiograph images. Since completing my PhD I have continued my contribution to the field of computer aided diagnosis, working as a Research Fellow for the University of Newcastle in collaboration with IntelliRAD and other partners in the development and implementation of a Biotechnology Innovation Fund project, titled Computer Aided Detection System, to assist in early risk assessment, prognosis, and diagnosis of colon cancer. The new technology, known as Computer Aided Polyp Detection in Colon CT, to which I contributed key research and development, is predicted to produce considerable increases in the early detection and treatment of cancer and other conditions. The system enhances the ability of radiologists to identify colonic polyps and cranial aneurysms with the use of medical imaging technologies, minimising the need to utilise surgery and other invasive techniques (such as colonoscopies) as a diagnostic tool. Due to this innovation it is hypothesised that greater numbers of patients will consent to checks for colonic polyps, increasing the rates of early detection. The system utilises an innovative algorithm, which is able to identify polyps and other abnormal features of all shapes and sizes.

Qualifications

  • PhD, University of New South Wales

Keywords

  • Data Structure
  • Database
  • Digital Image Processing
  • Health informatics
  • Image processing
  • Medical image processing
  • Multimedia
  • Pattern Recognition
  • Programming
  • Systems analysis

Languages

  • Korean (Fluent)

Fields of Research

Code Description Percentage
080199 Artificial Intelligence and Image Processing not elsewhere classified 55
080299 Computation Theory and Mathematics not elsewhere classified 30
080699 Information Systems not elsewhere classified 15

Professional Experience

UON Appointment

Title Organisation / Department
Lecturer University of Newcastle
School of Electrical Engineering and Computing
Australia

Academic appointment

Dates Title Organisation / Department
1/01/2006 -  Research Fellow University of Newcastle
Australia
1/01/2004 - 1/12/2005 Research Fellow The University of Melbourne
Australia

Membership

Dates Title Organisation / Department
Academic Member - IEEE IEEE
Australia

Awards

Research Award

Year Award
2003 Best Student Paper Award
Unknown
2002 Best student paper award
Unknown

Teaching

Code Course Role Duration
SENG2130 Systems Analysis and Design
NEWCASTLE UNIVERSITY
The course presents an introduction to project management, and explains, the software development life cycle in detail. Topics covered include: Requirement Elicitation, Analysis, Design, Testing and Implementation, and social responsibilities existent in each phase.
Lecturer 1/01/2011 - 31/12/2017
SENG1050 Web Technologies
NEWCASTLE UNIVERSITY

Introduces Internet communication and the fundamental concepts of Internet Architecture and how they support the massive growth and varied uses of the medium. A strong emphasis is placed on practical skills, such as using various communication techniques, building Web pages, and securing information via encryption. The course is designed to give a sound understanding of the technologies' potential as well as its limitations. 

Lecturer 1/01/2011 - 31/12/2017
Edit

Grants and Funding

Summary

Number of grants 10
Total funding $1,226,623

Click on a grant title below to expand the full details for that specific grant.


20081 grants / $1,060

Image and Vision Computing New Zealand, Lincoln University, New Zealand, 25/11/2008 - 28/11/2008$1,060

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Doctor Mira Park
Scheme Travel Grant
Role Lead
Funding Start 2008
Funding Finish 2008
GNo G0189673
Type Of Funding Internal
Category INTE
UON Y

20072 grants / $254,751

Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study$250,000

Funding body: Australian Research Council

Funding body Australian Research Council
Project Team

Prof. Jesse Jin

Scheme Linkage Project
Role Investigator
Funding Start 2007
Funding Finish 2007
GNo
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON N

Computer Aided Aneurysm Detection in Intracranial CT Angiography$4,751

Funding body: University of Newcastle

Funding body University of Newcastle
Project Team Doctor Mira Park
Scheme Pilot Grant
Role Lead
Funding Start 2007
Funding Finish 2007
GNo G0187899
Type Of Funding Internal
Category INTE
UON Y

20063 grants / $420,588

Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study$253,000

Funding body: ARC (Australian Research Council)

Funding body ARC (Australian Research Council)
Project Team Professor Jesse Jin, Conjoint Professor Janet Aisbett, Mr David Burton, Dr Robert Hofstetter, Doctor Mira Park, Associate Professor Mao Huang
Scheme Linkage Projects
Role Investigator
Funding Start 2006
Funding Finish 2009
GNo G0186024
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON Y

Intelligent archiving and retrieving of clinic laboratory records in pathology/radiology informatics study$131,225

Funding body: IntelliRAD Solutions Pty Ltd

Funding body IntelliRAD Solutions Pty Ltd
Project Team Professor Jesse Jin, Conjoint Professor Janet Aisbett, Mr David Burton, Dr Robert Hofstetter, Doctor Mira Park
Scheme Linkage Projects Partner Funding
Role Investigator
Funding Start 2006
Funding Finish 2008
GNo G0186962
Type Of Funding Grant - Aust Non Government
Category 3AFG
UON Y

Computer Aided Detection System to assist in early risk assessment, prognosis, and diagnosis of cancer$36,363

Funding body: IntelliRAD Solutions Pty Ltd

Funding body IntelliRAD Solutions Pty Ltd
Project Team Doctor Mira Park, Professor Jesse Jin
Scheme Project Grant
Role Lead
Funding Start 2006
Funding Finish 2006
GNo G0186577
Type Of Funding Contract - Aust Non Government
Category 3AFC
UON Y

20054 grants / $550,224

Computer Aided Detection system to assist in early risk assessment, prognosis, and diagnosis of colon cancer$500,000

Funding body: Biotechnology Innovation Fund (BIF: AusIndustry)

Funding body Biotechnology Innovation Fund (BIF: AusIndustry)
Project Team

David Burton

Scheme Innovative Projects Initiative
Role Investigator
Funding Start 2005
Funding Finish 2006
GNo
Type Of Funding Aust Competitive - Commonwealth
Category 1CS
UON N

Retinal Nascular Image Analysis$20,224

Funding body: the National Collaborative Research Infrastructure Strategy (NCRIS) by DEST

Funding body the National Collaborative Research Infrastructure Strategy (NCRIS) by DEST
Project Team

Prof. Rao Kotagiri

Scheme The internal grant of the Melbourne University
Role Investigator
Funding Start 2005
Funding Finish 2006
GNo
Type Of Funding Internal
Category INTE
UON N

Creating Study Database of CT Angiography Cases for Automated Aneurysm Detection$20,000

Funding body: The University of Melbourne Awards for Joint Research Projects

Funding body The University of Melbourne Awards for Joint Research Projects
Project Team

Mira Park

Scheme The internal grant of the University of Melbourne
Role Lead
Funding Start 2005
Funding Finish 2005
GNo
Type Of Funding Internal
Category INTE
UON N

Automatic segmentation of vessels in CT angiography$10,000

Funding body: The University of Melbourne Early Career Researcher Grant

Funding body The University of Melbourne Early Career Researcher Grant
Project Team

Mira Park

Scheme The internal grant of the University of Melbourne
Role Lead
Funding Start 2005
Funding Finish 2005
GNo
Type Of Funding Internal
Category INTE
UON N
Edit

Dr Mira Park

Position

Lecturer
School of Electrical Engineering and Computing
Faculty of Engineering and Built Environment

Focus area

Information Technology

Contact Details

Email mira.park@newcastle.edu.au
Phone (02) 4921 7758

Office

Room ES254
Building Engineering Science Building
Location Callaghan
University Drive
Callaghan, NSW 2308
Australia
Edit