Ponnuthurai Nagaratnam Suganthan
Ponnuthurai Nagaratnam Suganthan received the B.A. degree, Postgraduate Certificate and M.A. degree in Electrical and Information Engineering from the University 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 Electrical Engineering, University of Sydney in 1995–96 and a lecturer in the Dept. of Computer Science and Electrical Engineering, University of Queensland in 1996–99. He moved to NTU in 1999. He was an Editorial Board Member of the Evolutionary Computation Journal, MIT Press (2013 – 2018) and an associate editor of the IEEE Trans on Cybernetics (2012 – 2018). He is an associate editor of Applied Soft Computing (Elsevier, 2018 – ), Neurocomputing (Elsevier, 2018 – ), IEEE Trans on Evolutionary Computation (2005 -), Information Sciences (Elsevier, 2009 -), Pattern Recognition (Elsevier, 2001 – ) and Int. J. of Swarm Intelligence Research (2009 – ) Journals. He is a founding co-editor-in-chief of Swarm and Evolutionary 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 IEEE CIS Outstanding PhD dissertation award, in 2014. IEEE CIS Singapore Chapter won the best chapter award in Singapore in 2014 for its achievements in 2013 under his leadership. His research interests include swarm and evolutionary algorithms, pattern recognition, forecasting, randomized neural networks, deep learning and applications of swarm, evolutionary & machine learning algorithms. His publications have been well cited (Google Scholar Citations: ~34k). His SCI indexed publications attracted over 1000 SCI citations in a calendar year since 2013. He was selected as one of the highly cited researchers by Thomson Reuters every year from 2015 to 2018 in computer science. He served as the General Chair of the IEEE SSCI 2013. He is an IEEE CIS distinguished lecturer (DLP) in 2018-2020. He has been a member of the IEEE (S’91, M’92, SM’00, Fellow’15) since 1991 and an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014 – 2016.
Benjamin Doerr is a senior researcher at the Max Planck Institute for Computer Science and a professor at École Polytechnique and Saarland University. He received his diploma (1998), PhD (2000) and habilitation (2005) in mathematics from Kiel University. His research area is the theory both of problem-specific algorithms and of randomized search heuristics like evolutionary algorithms. Major contributions to the latter include runtime analyses for evolutionary algorithms and ant colony optimizers, as well as the further development of the drift analysis method, in particular, multiplicative and adaptive drift. In the young area of black-box complexity, he proved several of the current best bounds. He is a member of the editorial boards of Journal of Complexity, Theoretical Computer Science, RAIRO-Theoretical Informatics and Applications, Information Processing Letters, Evolutionary Computation, Natural Computing, and Artificial Intelligence. Together with Anne Auger, he is an editor of the book “Theory of Randomized Search Heuristics”.