iCMLDE2017


iCMLDE2018




Special Session/Track


Machine Learning in Cyber Security
Machine Learning in IoT


Short Course


Machine Learning & Deep Learning



Welcome to International Conference on Machine Learning and Data Engineering (iCMLDE2018), 03-07 December, 2018, Sydney, Australia


International Conference on Machine Learning and Data Engineering, Sydney, 2018 (iCMLDE 2018) will bring international and national experts in Artificial Intelligence, Computer Vision, Machine Learning and Data Engineering researcher to Sydney to present and share their latest research and practice. iCMLDE 2018 will be held in Sydney, which is one of the largest cities in Australia. The conference is supported by Global Circle for Scientific, Technological and Management Research (GCSTMR) and Science, Technology and Management Crest, Australia (STAMCA). GCSTMR endeavors to create a platform for young researchers to exchange ideas and share information with experts in their respective fields. GCSTMR encourages and facilitates trans-national collaborations among its members and associates in research, training and professional activities. Multidisciplinary international conference series run by GCSTMR open vast opportunities for researchers to interact on the global platform and take advantage of knowledge sharing in the digital arena.
iCMLDE 2018 will be held at Western Sydney University’s Parramatta campus, which is situated 20km from the Sydney CBD and is well connected by rail, road and ferry networks. The traditional landmarks of Sydney including Sydney Harbour, Sydney Opera House and Harbour Bridge are within easy reach of the conference venue as is the Blue Mountains World Heritage National Park.



Conference Proceedings

iCMLDE2018 proceedings will be published by Conference Publishing Services (CPS). CPS-published conference publications are submitted to IEEE Xplore and the IEEE Computer Society Digital Library (CSDL) where they are indexed and universally found and available. For more details, please click here

CPS

Doctoral Consortium



If you are doing a PhD in engineering, construction management, IT and data engineering, and similar areas, this Doctoral Consortium would be an excellent opportunity for you to network with internationally recognised researchers in your field. This Doctoral Consortium will be held on 3 Dec 2018 as a part of the International Conference on Advancements in Engineering Education (iCAEED 2018), International Conference on Construction Project Management and Construction Engineering (iCCPMCE 2018), and International Conference on Machine Learning and Data Engineering (iCMLDE 2018), at Parramatta South Campus, Western Sydney University, Australia. . .


What does this Doctoral Consortium involve?

  • You need to submit a 500-word extended abstract on your PhD research.
  • You need to submit a two-page long CV highlighting your educational qualifications, experiences, current publication list and future publication plan.
  • You provide names of ten research leaders in your PhD topic area as you see relevant.
  • You will present for five minutes on your PhD research using a maximum of three PowerPoint slides.
  • If you want to attend, you must be enrolled in a PhD program.
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Keynote/Invited Speakers




Dr Daniel Howard

Dr Daniel Howard obtained degrees in Chemical Engineering and PhD in Computational Fluid Dynamics from the Civil Engineering Department of Swansea University pioneers in the Finite Element Method. He then served as the Rolls-Royce Research Fellow in Computational Fluid Dynamics at University of Oxfordand as Junior Research Fellow at the Numerical Analysis Group in the Mathematical Institute.

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Professor Wanlei Zhou

Professor Wanlei Zhou is currently the Head of School of Software in University of Twechnology Sydney (UTS). Before joining UTS, Professor Zhou held the positions of Alfred Deakin Professor, Chair of Information Technology, and Associate Dean (International Research Engagement) of Faculty of Science, Engineering and Built Environment, Deakin University.

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Professor Minvydas Ragulskis

Minvydas Ragulskis is a full professor at Department of Mathematical Modelling, Kaunas University of Technology, Lithuania. He is a Fellow of Lithuanian National Academy of Sciences and serves as an invited expert at various National and International Committees including Research Executive Agency, Brussels. M.Ragulskis takes .....

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Prof Adel

Associate Professor Adel Ali Al-Jumaily

Dr. Adel Al-Jumaily is Associate Professor in the University of Technology Sydney. He is holding a Ph.D. in Electrical Engineering (AI); His research area covers the fields Computational Intelligence, Bio- Mechatronics Systems, Health Technology and Biomedical, Vision based cancer diagnosing, and Bio-signal/ image pattern recognition...

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Associate Professor Oliver Obst

Dr Oliver Obst is Associate Professor in Data Science at Western Sydney University, in Parramatta, Sydney, Australia, and the Director of Research, Quality, and Innovation for the School of Computing, Engineering, and Mathematics. Previously, he was team leader of the Data Mining Team at CSIRO (Data61), where he worked from Aug 2007 to Jan 2016, a lecturer at the University of Newcastle (2006/07), and a Post-doc at the University of Bremen, Germany (2006). He received a PhD in Artificial Intelligence (2006), and a Masters Degree in Computer Science from the University of Koblenz-Landau, in Koblenz, Germany. . .

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Dr Tianqing Zhu

Dr Tianqing Zhu is currently a Senior Lecturer in the School of Software in University of Technology Sydney, Australia (UTS). Before joining UTS, she served as a lecturer in School of Information Technology, Deakin University, Melbourne Australia from 2014 to 2018 and a lecturer in Wuhan Polytechnic University, China from 2004 to 2011. Her research interests include privacy preserving, data mining and network security.

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Associate Professor Girija Chetty

Dr. Girija Chetty has a Bachelor's and Master's degree in Electrical Engineering and Computer Science from India, and PhD in Information Sciences and Engineering from Australia. She has more than 35 years of experience in Industry, Research and Teaching from Universities and Research and Development Organizations from India and Australia and has held several leadership positions including Head of Software Engineering and Computer Science, and Course Director for Master of Computing (Mainframe) Course. . . .

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Special Sessions


Short Course


Machine Learning and Deep Learning


Proudly Sponsored by



Western Sydney University


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+61 431 070 618 info@icmlde.net.au www.icmlde.net.au

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