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Dr Chang Su Lee

Dr Chang Su Lee

Dr Chang Su Lee

Lecturer

Telephone: (61 8)  9370 6827  
Email: chang-su.lee@ecu.edu.au   
Campus: Mount Lawley  
Room: ML13.216  

 

Current Teaching

  • CSG2341/5114 - Intelligent Systems (Unit Coordinator, Lecturer)
  • CSP1150/4150 - Programming Principles (Lecturer in ML or JO campus)
  • CSI2343 - Objected-Oriented Analysis and Design (Unit Coordinator, Lecturer)

Background

  • Post-Doctorate Research Fellow (2008-2009), School of Computer and Security Science, Faculty of Computing, Health and Science at ECU - ‘Fetal Heart Rate Monitoring’ Project - a development of a windows mobile app for measuring fetal heart rate using smart phones. USD $100,000 funded by Microsoft Research, USA.

Professional Memberships

  • IEEE (Institute of Electrical and Electronics Engineers) Member
  • IEEE CIS (Computational Intelligence Society) Member
  • IEEE RA (Robotics and Automation) Member

Awards and Recognition

National and International Awards

  • November 2011. Won a prize AUD $15,000 as a top 5 finalist for the ‘Mobile Fetal and Maternal Health mobile application’ in Univation WApp Competition in Perth, Western Australia. (www.univation.com.au/wapp)
  • November 2010. Our team, WAMBOT took the 4th place in the Final Competition in Adelaide, South Australia in The MAGIC (Multi Autonomous Ground-robotic International Challenge) 2010 Project hosted by DSTO, Australia and DARPA, USA. (www.wambot.org)
  • June 2007. The Best Student Paper Award with USD$100 prize in International Conference NAFIPS (North America Fuzzy Inference Processing Society) 2007, San Diego, CA, USA.

University and National Teaching Awards

  • March 2007. Winner of the 2006 SURF (Students' Unit Reflective Feedback) Award for teaching as a tutor and a lab demonstrator for “Embedded Systems” unit in 2006. School of Electrical, Electronic, and Computer Engineering at The University of Western Australia (UWA), Perth, Australia.

Other

  • May 2006. Travel Grant Award. School of Electrical, Electronic, and Computer Engineering at The University of Western Australia (UWA). For attending the IEEE International Conference on Intelligent Systems (IS’06) in London, September, 2006.
  • December 2004. UPA (University Postgraduate Award) Scholarship for PhD degree by Research in Electrical, Electronic and Computer Engineering at The University of Western Australia (UWA), Perth, Australia.
  • November 2004. APA (Australian Postgraduate Award) Scholarship for PhD degree by Research in Computer Science and Engineering at The University of New South Wales (UNSW), Sydney, Australia.

Research Areas and Interests

  • Hybrid learning approaches, machine learning, pattern recognition, hybrid rough-fuzzy systems, bio-informatics, mobile robotics, data/information visualisation.
  • Hybridisation in Rough-Fuzzy/Fuzzy-Rough systems for pattern recognition.
  • Enhancement on Nearest Shrunken Centroid (NSC) algorithm, Rough-Fuzzy & Rough-GA Feature Selection on medical data, Visual Data Analysis in bio-informatics.
  • Data/Information Visualisation for Statistical & Visual Analysis on high dimensional medical and spatial data.
  • Navigation and Path-Planning algorithm for Autonomous Navigation for mobile robots.

Staff Qualifications

  • Doctor of Philosophy, The University of Western Australia, 2008 .
  • M (Master Degree), Korea, Republic of (South), 2001 .
  • BEng (Bachelor of Engineering), Korea, Republic of (South), 1999 .

Recent Publications (within the last five years)

Conference Publications

  • Lee, CS., Lam, P., Masek, M., (2011), Rough-fuzzy hybrid approach for identification of bio-markers and classification on Alzheimer's disease data. Proceedings of 2011 IEEE 11th International Conference on Bioinformatics and Bioengineering, BIBE 2011, 84-91, Piscataway, N.J., DOI: 10.1109/BIBE.2011.20.
  • Dang, V., Lam, P., Lee, CS., (2011), Incorporating Genetic Algorithm into Rough Feature Selection for High Dimensional Biomedical Data. Incorporating Genetic Algorithm into Rough Feature Selection for High Dimensional Biomedical Data, 2(9-11 Dec. 2011 ), 283 - 287, DOI: http://dx.doi.org/10.1109/ITiME.2011.6132040.
  • Lee, CS., (2011), Feature Reduction using a GA-Rough Hybrid Approach on Bio-medical data. Feature Reduction using a GA-Rough Hybrid Approach on Bio-medical data, 1339-1343, IEEE Explore.
  • Lee, CS., (2011), A rough-fuzzy hybrid approach on a Neuro-Fuzzy classifier for high dimensional data. IJCNN 2011 Conference Proceedings , 2764-2769, DOI: 10.1109/IJCNN.2011.6033582.
  • Lee, CS., (2010), Adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS) for Mobile Robot Navigation. Proceedings of the International Conference on Control, Automation and Systems (ICCAS) 2010, 403-408, Online: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?reload=true&punumber=5656240.
  • Lee, CS., Masek, M., Lam, P., Tan, A., (2009), Advances in fetal heart rate monitoring using smart phones. Communications and Information Technology, 2009. ISCIT 2009. 9th International Symposium on, 735-740, Piscataway, NJ., DOI: 10.1109/ISCIT.2009.5341146.
  • Lee, CS., Masek, M., Lam, P., Tan, A., (2009), Towards Higher Accuracy and Better Noise Tolerance for Fetal Heart Rate Monitoring Using Doppler Ultrasound. TENCON 2009 - 2009 IEEE Region 10 Conference, 1-6, Piscataway, NJ., DOI: 10.1109/TENCON.2009.5395885.
  • Masek, M., Lee, CS., Lam, P., Tan, A., Fyneman, A., (2009), Remote Home-Based Ante and Post Natal Care. 11th International Conference on e-Health Networking, Applications & Services 2009. Healthcom 2009, 60-65, Piscataway NJ., DOI: 10.1109/HEALTH.2009.5406204.
  • Lee, CS., Zaknich, A., Braunl, T., (2008), A framework of adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS). Proceedings of IEEE International Conference on Fuzzy Systems, 567-574, Piscataway, N.J., DOI: 10.1109/FUZZY.2008.4630425.