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Evolutionary Rule-based Machine Learning

Nineteenth International Workshop on Learning Classifier Systems

 

Organizers


KK

Karthik Kuber

Microsoft

Email: karthik.kuber(at)microsoft.com

He received his PhD in 2014 from Syracuse
University in Computer Science. His dissertation research was
on studying evolutionary algorithms from a network perspective, mainly focusing on Genetic Algorithms, Particle Swarms, and Learning Classifier Systems. He worked on information theoretic fitness measures for Learning Classifier Systems during his MS thesis, also at Syracuse. Prior to graduate school, he worked at Tata Consultancy Services in Bangalore, and received a BE in Electronics and Communication Engineering from Visvesvaraya Technological University. He is currently working at Microsoft where his interests are in exploring and applying various machine learning, analysis and modelling techniques in the context of large-scale engineering systems.

 


MN

Masaya Nakata

Department of Informatics, The University of Electro-Communications, Japan

Research Fellow of Japan Society for the Promotion of Science, Japan

Email: m.nakata(at)cas.hc.uec.ac.jp

Mr. Nakata received the B.A. and M.Sc. degrees in informatics from the University of Electro- Communications, Chofu, Tokyo, Japan, in 2011 and 2013 respectively. He is the Ph.D. candidate in the University of Electro- Communications, the research fellow of Japan Society for the Promotion of Science, Chiyoda-ku, Tokyo, Japan, and a visiting student of the School of Engineering and Computer Science in Victoria University of Wellington from 2014. He was a visiting student of the Department of Electronics and Information, Politecnico di Milano, Milan, Italy, in 2013, and of the Department of Computer Science, University of Bristol, Bristol, UK, in 2014. His research interests are in evolutionary computation, reinforcement learning, data mining, more specifically, in learning classifier systems. He has received the best paper award and the IEEE Computational Intelligence Society Japan Chapter Young Researcher Award from the Japanese Symposium of Evolutionary Computation 2012. He is a co-organizer of International Workshop on Learning Classifier Systems (IWLCS) for 2015-2016.


Kamran

Kamran Shafi

School of Engineering and Information Technology, University of New South Wales, Australia

Email: k.shafi(at)adfa.edu.au

Dr. Shafi holds a PhD in computer science, a M.Sc. in telecoms engineering and a B.Sc. in electrical engineering. Dr. Shafi is the organising member (elected) for the International Workshop on Learning Classifier Systems (IWLCS) 2013-14 and 2015-16. He was the chair of Computational Intelligence Day workshop held at the University of New South Wales (UNSW-Canberra) Australia in September 2013. He was the publicity chair for the 2012 World Congress on Computational Intelligence (WCCI 2012). He has been a program committee member and chair/co-chair of several workshops at GECCO and IEEE CEC conferences since 2005. His PhD thesis “An online and adaptive signature-based approach for intrusion detection using learning classifier systems (LCS)” received the Stephen Fester Award for the most outstanding thesis on an information technology topic by a postgraduate research student in the School of ITEE at UNSW Canberra. His other major research achievements in the field of LCS research include the development of an LCS based scenario mining approach in the context of free- flight air traffic control concept and development of an LCS based multi-objective hyper-heuristic framework for the defence logistics problem.


Program Committee Members

Name Affiliation
Jaume Bacardit University of Nottingham, UK
Ester Bernadó-Mansilla La Salle – Universitat Ramon Llull, Spain
Lashon B. Booker The MITRE Corporation, US
Will Browne Victoria University of Wellington, New Zeland
Larry Bull The University of the West of England, UK
Martin V. Butz University of Würzburg, Germany
Jan Drugowitsch Ecole Normale Supérieure, France
Ali Hamzeh Shiraz University, Iran
John Holmes University of Pennsylvania, US
Muhammad Iqbal Victoria University of Wellington, New Zealand
Tim Kovacs University of Bristol, UK
Pier Luca Lanzi Politecnico Di Milano, Italy
Xavier Llorà Google Inc., US
Daniele Loiacono Politecnico di Milano, Italy
Javier G Marin-Blazquez Universidad de Murcia, Spain.
Ivette Carolina Martínez Universidad Simón Bolívar, Venezuela
Luis Miramontes Hercog University of Notre Dame, US
Albert Orriols Puig Google Inc., US
Sonia Schulenburg Level E Limited, UK
Kamran Shafi University of New South Wales, Australia
Patrick Stalph University of Würzburg, Germany
Wolfgang Stolzmann Daimler AG, Germany
Ryan J. Urbanowicz Dartmouth College, US
Stewart W Wilson Prediction Dynamics, US

Advisory Committee

Name Affiliation
Jaume Bacardit University of Nottingham, UK
Ester Bernadó-Mansilla La Salle – Universitat Ramon Llull, Spain
Will Browne Victoria University of Wellington, New Zeland
Martin V. Butz University of Würzburg, Germany
Jan Drugowitsch Ecole Normale Supérieure, France
Muhammad Iqbal Victoria University of Wellington, New Zealand
Tim Kovacs University of Bristol, UK
Pier Luca Lanzi Politecnico Di Milano, Italy
Xavier Llorà Google Inc., US
Kamran Shafi University of New South Wales, Australia
Wolfgang Stolzmann Daimler AG, Germany
Ryan J. Urbanowicz Dartmouth College, US
Stewart W Wilson Prediction Dynamics, US