Miss Su Lee Goh is a third year PhD student under the supervision of Dr. Danilo Mandic in the Communication and Signal Processing Group of the Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom. Her research interests include nonlinear signal processing, adaptive filters, complex-valued analysis and forecasting.

Education

Research Interests

• Adaptive Filters
• Neural Network
• Forecasting
• Complex-Valued Analysis
• Nonlinear system

Awards and Honours

• Best student paper award in MELECON IEEE conference 2004
• ORS award and departmental bursary for my PhD studies
• IEE Lord Hirst Fund Award for my PhD studies
• Scholarships awarded by the Malaysian Government for my undergraduate and MSc. studies
• Dean’s Award for every semester in my university

Experience

Publications

Journal and conference

1. Su Lee Goh, Danilo. P. Mandic, M. A. Bozic, A neural nonlinear adaptive filter with a trainable activation function, Neural Network Applications in Electrical Engineering, NEUREL 2002 6th Seminar on 26-28 Sept. 2002
2. Woon Chong Siaw; Su Lee Goh, A. I. Hanna, C. Boukis, D. P. Mandic, Fully adaptive neural nonlinear FIR filters,
   Neural Networks for Signal Processing, 2002. Proceedings of the 2002 12th IEEE Workshop on , 4-6 Sept. 2002
3. Su Lee Goh and Danilo P. Mandic, Recurrent neural networks with trainable amplitude of activation functions, Neural Networks, Volume 16, Issue 8, October 2003, Pages 1095-1100
4. Su Lee Goh and Danilo P. Mandic, Nonlinear adaptive prediction using a complex-valued PRNN, Neural Networks for Signal Processing, 2003
5. Su Lee Goh, Zdenka Babic and Danilo P. Mandic, An Adaptive Amplitude Learning Algorithm For Nonlinear Adaptive IIR Filters, Telsiks 2003, 6th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services, October 1-3, 2003
6. Su Lee Goh and Danilo P. Mandic, A Data-Reusing Gradient Descent Algorithm for Complex-Valued Recurrent Neural Networks, KES'2003 Seventh International Conference on Knowledge-Based Intelligent Information & Engineering Systems 3, 4 & 5 September 2003
7. Su Lee Goh; Dragana. H. Popovic and Danilo P. Mandic, Complex-Valued Estimation of Wind Profile and Wind Power, Electrotechnical Conference, MELECON 2004. Proceedings of the 12th IEEE Mediterranean , Volume: 3 , 12-15 May 2004
8. Su Lee Goh, Zdenka Babic, Dragana Popovic, Toshihisa Tanaka and Danilo Mandic, Complex-Valued Neural Network Schemes for Online Processing of Wind Signal, Neural Network Applications in Electrical Engineering, NEUREL 2004
9. Su Lee Goh and Danilo P. Mandic, A Class of Low Complexity and Fast Converging Algorithms for Complex-Valued Neural Networks, Machine Learning for Signal Processing, MLSP 2004
10. Su Lee Goh and Danilo P. Mandic, A Data-Reusing Sign-Error Algorithm for Complex-Valued Adaptive Filters, IMA 2004
11. Su Lee Goh and Danilo P. Mandic, A Complex-Valued RTRL Algorithm For Recurrent Neural Networks, Vol. tba, Issue tba, Neural Computation 2004
12. Su Lee Goh and Danilo P. Mandic, Nonlinear Adaptive Prediction of Complex-Valued Nonstationary Signals, Vol. tba, Issue tba, IEEE Transaction in Signal Processing 2004
    

Books, reports and theses

1. Complex-Valued Neural Networks: Theories and Applications
   Editor: Akira Hirose (The University of Tokyo)
   Publisher: World Scientific Publishing Co. Pte. Ltd., Singapore, in the Series on Innovative Intelligence
   Title: Danilo P. Mandic, Su Lee Goh, A.Hanna : "A data-reusing gradient descent algorithm for complex-valued recurrent neural networks"
2. "A Class of Complex-Valued Adaptive Filters," Imperial College London M.Phil to PhD Transfer Report, 2004
3. "Fully Adaptive Nonlinear Adaptive Filters with Feedback ," MSc Thesis, Imperial College London, United Kingdom, 2002
4. "Design of a Fetal Electrocardiogram," B.Sc Graduation Thesis, University Tenaga Nasional, Malaysia, 2001