The 2nd Deep Learning and Artificial Intelligence Winter School 2018
10th – 13th December 2018, Bangkok, Thailand

Ponnuthurai Nagaratnam Suganthan
Associate Professor in School of Electrical and Electronic
Engineering
Nanyang Technological University, Singapore

Topic: Non-iterative Learning Algorithms
Abstract:
This presentation will primarily focus on learning algorithms with reduced iterations
or no iterations at all. Some of the algorithms have closed form solutions. Some of thealgorithms do not adjust the structures once constructed. The main algorithms considered inthis talk are randomized neural networks, kernel ridge regression and random forest. These
non-iterative methods have attracted attention of researchers due to their high performancein terms of accuracy as well as their ability to train fast due to their non-iterative properties
or closed form training solutions. For example, the random forest delivers excellent
classification performance. The presentation will also include the basic methods as well as
their state of the art realizations. These algorithms will be benchmarked using classificationand time series forecasting. Future research directions will also be suggested.
Bio:

Ponnuthurai Nagaratnam Suganthan (or P N Suganthan) received the B.A degree,Postgraduate Certificate and M.A degree in Electrical and Information Engineering from theUniversity of Cambridge, UK in 1990, 1992 and 1994, respectively. After completing his PhD
research in 1995, he served as a pre-doctoral Research Assistant in the Dept of ElectricalEngineering, University of Sydney in 1995-96 and a lecturer in the Dept of Computer Scienceand Electrical Engineering, University of Queensland in 1996ñ99. He moved to NTU in 1999.
He is an Editorial Board Member of the Evolutionary Computation Journal, MIT Press (20132018). He is an associate editor of the IEEE Trans on Cybernetics (2012 - ), IEEE Trans on
Evolutionary Computation (2005 -), Information Sciences (Elsevier) (2009 - ), Pattern
Recognition (Elsevier) (2001 - ), Applied Soft Computing (2018-) and Int. J. of SwarmIntelligence Research (2009 - ) Journals. He is a founding co-editor-in-chief of Swarm andEvolutionary Computation (2010 - ), an SCI Indexed Elsevier Journal. His co-authored SaDE
paper (published in April 2009) won the "IEEE Trans. On Evolutionary Computation
outstanding paper award" in 2012. His former PhD student, Dr Jane Jing Liang, won the IEEECIS Outstanding PhD dissertation award, in 2014. His research interests include swarm andevolutionary algorithms, pattern recognition, big data, deep learning and applications ofswarm, evolutionary & machine learning algorithms. He was selected as one of the highly
cited researchers by Thomson Reuters in 2015, 2016, 2017, and 2018 in computer science.
He served as the General Chair of the IEEE SSCI 2013. He has been a member of the IEEE since

The 2nd Deep Learning and Artificial Intelligence Winter School 2018
10th – 13th December 2018, Bangkok, Thailand

1990 and Fellow since 2015. He was an elected AdCom member of the IEEE Computational
Intelligence Society (CIS) in 2014-2016. He is an IEEE CIS distinguished lecturer (2018-2020).
Google Scholar:
http://scholar.google.com.sg/citations?hl=en&user=yZNzBU0AAAAJ&view_op=list_works&p
agesize=100