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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)

Previous Teaching

  • CSG5101 Artificial Intelligence (Unit Coordinator, Lecturer)
  • CSI2312 Foundations of Software Engineering (Lecturer)

Background / Employment History

  • 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.

Staff Qualifications

  • Ph.D. in Electrical, Electronic, and Computer Engineering at The University of Western Australia.
  • MS in Electrical and Computer Engineering at Hanyang University, Republic of Korea.
  • BS in Electronic Engineering at Hanyang University, Republic of Korea.

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

  • 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.
  • 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.
  • 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, Sept, 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

Research Interests

  • Hybrid learning approaches, machine learning, pattern recognition, hybrid rough-fuzzy systems, bio-informatics, mobile robotics, data/information visualization.

Current Research Areas

  • Hybridization 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 Visualization for Statistical & Visual Analysis on high dimensional medical and spatial data.
  • Navigation and Path-Planning algorithm for Autonomous Navigation for mobile robots.

Current Research Projects

  • WAMBOT@ECU: The aim is to improve previous modules developed for the MAGIC 2010 Competition for achieving more stable and reliable robotic systems for autonomous navigation for ground robotic systems.
  • Data Visualization: This project is to develop an interactive data visualizer which provides in-depth analysis and reveals hidden data structures/relationships/dependencies by a variety of data analysis on high dimensional data.
  • Bio-Informatics: Feature Selection using hybrid approaches with GA, fuzzy sets and rough sets theories, NSC, and others. Selection and Classification on bio-markers in Alzheimer’s disease.
  • Biometrics Recognition System: This project is being set up at the moment. The aim is to develop a more reliable and robust integrated bio-metrics recognition system using faces, iris, and fingerprints for personal identification.

Recent Publications

Refereed Journal Articles

  • (Submitted and in-review) Adrian et al., “WAMbot: Team MAGICian’s entry to the Multi Autonomous Ground-robotic International Challenge 2010,” Journal of Field Robotics.
  • (Submitted and in-review) Chang Su Lee, “An Adaptive TSK-type Rough-Fuzzy Inference Systems for pattern recognition,” Journal of Fuzzy Sets and Systems, Elseivier.
  • (Selected paper) Chang Su Lee and Frank Chung-Hoon Rhee, “Region based Fuzzy Neural Networks for Face Detection”, Journal of Korea Fuzzy Logic and Intelligent Systems Society (KFIS) 2001, Volume 1, Number 1, Mar, 2001.

Conference Papers

  • Vinh Dang, Chiou-Peng Lam, Chang Su Lee, "Incorporating Genetic Algorithm into Rough Feature Selection for High Dimensional Biomedical Data," The 3rd IEEE International Symposium on IT in Medicine & Education 2011 (ITME 2011), Guangzhou, China, Dec 2011.
  • Chang Su Lee, “Feature Reduction using a GA-Rough Hybrid Approach on Bio-medical data,” International Conference on Control, Automation and Systems (ICCAS) 2011, Gyeonggi-do, Korea, Oct 2011.
  • Chang Su Lee, Chiou Peng Lam and Martin Masek, “Rough-Fuzzy Hybrid Approach for Identification of Bio-markers and Classification on Alzheimer’s Disease Data,” 11th IEEE International Conference on Bio-Informatics and Bio-Engineering (BIBE) 2011, Taichung, Taiwan, Oct 2011.
  • Chang Su Lee, “A Rough-Fuzzy Hybrid Approach on a Neuro-Fuzzy Classifier for High Dimensional Data,” The 2011 IEEE International Joint Conference on Neural Networks, San Jose, USA, Aug 2011.
  • Chang Su Lee, “Adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS) for Mobile Robot Navigation,” International Conference on Control, Automation and Systems (ICCAS) 2010, Gyeonggi-do, Korea, Oct. 27-30, 2010.
  • Martin Masek, Chang Su Lee, Chiou Peng Lam, Keng T. Tan and Angela Fyneman, “Remote Home-Based Ante and Post Natal Care,” The IEEE 11th International Conference on e-Health Networking, Applications & Services 2009 (HEALTHCOM 2009), Sydney, Australia, 16-18 December, 2009.
  • Chang Su Lee, Martin Masek, Chiou Peng Lam, and Keng T. Tan, “Advances in Fetal Heart Monitoring using Smart Phones,” The IEEE 9th International Symposium on Communication and Information Technology 2009 (ISCIT 2009), Incheon, Korea, 28-30 September, 2009.
  • Chang Su Lee, Martin Masek, Chiou Peng Lam, and Keng T. Tan, “Towards Higher Accuracy and Better Noise-Tolerance for Fetal Heart Rate Monitoring using Doppler Ultrasound,” The IEEE International Conference TENCON 2009, Singapore, 23-26 November, 2009.
  • Chang Su Lee, Anthony Zaknich and Thomas Bräunl, “A Framework of Adaptive T-S type Rough-Fuzzy Inference Systems (ARFIS),” The IEEE International Conference on Fuzzy Systems 2008 (FUZZ-IEEE 2008) in World Congress on Computational Intelligence 2008 (WCCI 2008), Hong Kong, 1-6 June, 2008.
  • (Best student paper award) Chang Su Lee, Anthony Zaknich and Thomas Bräunl, “An Adaptive T-S type Rough-Fuzzy Inference System (ARFIS) for Pattern Classification,” The IEEE North American Fuzzy Information Processing Society (NAFIPS 2007) International Conference, San Diego, CA, USA, June 24~27, 2007.
  • Chang Su Lee, Thomas Bräunl and Anthony Zaknich, “A Rough-Fuzzy Controller for Autonomous Mobile Robot Navigation,” The 3rd IEEE International Conference on Intelligent Systems ’06, London, UK. Sept. 4~6, 2006.
  • (Invited paper) Frank Chung-Hoon Rhee and Chang Su Lee, “Region based Fuzzy Neural Networks for Face Detection”, IEEE Joint 9th IFSA World Congress and 20th NAFIPS International Conference 2001, Vancouver, Canada, July 25~28, 2001.
  • Chang Su Lee and Frank Chung-Hoon Rhee, “Face image segmentation using fuzzy membership”, Proceedings of Korea Fuzzy Logic and Intelligent Systems Society (KFIS) Spring Conference 2000, Volume 10, Number 1, Ansan, Korea, May, 2000.
  • Chang Su Lee and Frank Chung-Hoon Rhee, “Fuzzy Neural Networks for Face Detection”, Proceedings of Korea Fuzzy Logic and Intelligent Systems Society (KFIS) Fall Conference 2000, Volume 10, Number 2, Daegu, Korea, Nov, 2000.

Research Student Supervision

Current

  • Co-Supervisor (Primary: A/Prof Peng C. LAM): Ph.D., Vinh DANG, Feature Selection using Genetic Algorithm on Biomedical data.
  • Co-Supervisor (Primary: Dr. Martin MASEK): Masters, Rajesh SUBRAMANIAN, Modular Self-Reconfigurable Robots.