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Limited to 40 participants ONLY!!!
Speakers Profile
  1. Prof. Dr. Heru Suhartanto, INDONESIA

    Biography:

    Heru Suhartanto was Born in Jakarta in 1961. Married and blessed with two beautiful daughters. His residence is in Ulujami area, South of Jakarta. Indonesia. He is a Professor in Faculty of Computer Science, Universitas Indonesia (Fasilkom UI). He has been with Fasilkom UI since 1986. Previously he held some positions such as Post doctoral fellow at Advanced Computational Modelling Centre, the University of Queensland, Australia in 1998 – 2000; two periods vice Dean for General Affair at Fasilkom UI since 2000. He graduated from Department of Mathematics, UI in 1986. He holds Master of Science, from Department of Computer Science, The University of Toronto, Canada since 1990. He also holds Ph.D in Parallel Computing from Department of Mathematics, The University of Queensland since 1998. His main research interests are Numerical, Parallel, Cloud and Grid computing. He is also a member of reviewer of several referred international journal such as journal of Computational and Applied Mathematics, International Journal of Computer Mathematics, and Journal of Universal Computer Science. Furthermore, he has supervised some Master and PhD students; he has won some research grants; holds several software copyrights; published a number of books in Indonesian and international papers in proceeding and journal.

  2. X Research Interests: Cloud-Grid-High Performance Computing


  3. Prof. Dr. Rosni Abdullah, USM

    Biography:

    Rosni Abdullah is a Professor in Parallel Computing at the School of Computer Sciences, Universiti Sains Malaysia (USM) and is one of the national pioneers in this field. She obtained her PhD in April 1997 from Loughborough University, United Kingdom specializing in the area of Parallel Algorithms. Both her Bachelors and Masters degree in Computer Science were obtained from Western Michigan University, Kalamazoo, Michigan, U.S.A. Rosni was the first lady Dean for the School of Computer Sciences, Universiti Sains Malaysia (USM) from 2004 to 2012. She is also the Head of the Parallel and Distributed Processing Research Group at the School since its inception in 1994. Her research areas include Parallel and Distributed Computing, Parallel Numerical Algorithms and Computational Biology. She has graduated 20 PhD students and led 13 research grants including two European Union grants and three Intel grants. She currently drives the Makers movement at USM. She is currently back as the Dean of the School of Computer Sciences at USM, as well as the Director of the National Advanced IPv6 Center (Nav6), a center of research excellence in USM that focus on Cybersecurity and Internet of Things (IoT)

  4. X Specialization : Parallel and Distributed Computing, Parallel Numerical Algorithms, Computational Support for Bioinformatics Applications.


  5. Assoc. Prof. Dr. Nor Asilah Wati Abdul Hamid, UPM


    Biography:

    Nor Asilah Wati Abdul Hamid is an Associate Professor at the Department of Communication Technology and Network, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Malaysia. She received her PhD from University of Adelaide in 2008. She has been a Visiting Scholar at High Performance Computing Lab, George Washington University, USA for 2 years. She is also the Head of the Network Parallel Distributed Computing (NPDC) research group, working on high-performance distributed and parallel computing technologies and applications. Her research interests are in parallel and distributed computing, cluster and cloud computing, and other applications of high-performance computing. She is also an Associate Researcher at Institute for Mathematical Research (INSPEM), Universiti Putra Malaysia.

  6. X Field of Expertise : High Performance Computing, Parallel and Distributed Computing, Management Information Systems

  7. Mr. Peter Lim, OEMS IntiPakar Corporation Sdn. Bhd

    Biography:

    Director of OEMS IntiPakar Corporation Sdn Bhd. With more than15 years of experience in industrial and project management. The Wolfram Mathematica trainer and registered HRDF training provider.

  8. X Abstract

    Wolfram Mathematica Coding Made Simple for Advanced Computations


    We will demonstrate Wolfram Mathematica technologies in the area of data analytics & machine learning, with world-class machine learning and classification algorithms, semantic data representation, and the knowledge-based programming. Also it allows immediate support of a variety of existing and new parallel programming paradigms and data-sharing models, with very minimal configuration! The enormous parallel processing power of GPUs can be used from an integrated built-in interface of Wolfram Mathematica. This allows high-performance solutions for many areas such as financial simulation, image processing, and modelling.
    1. Quick Introduction to Wolfram Technology
    2. Data Science Workflows in Wolfram Mathematica
    3. Computation & Analytics
    4. Handling of un-structural data
    5. Machine Learning & Predictive Functions
    6. GPU Computing





  9. Mr. Desmond Lim, OEMS IntiPakar Corporation Sdn. Bhd

    Biography:

    Senior consultant, facilitator & speaker of Wolfram Mathematica technologies since 2013. The Wolfram Mathematica trainer and registered HRDF training provider.

  10. XAbstract

    Wolfram Mathematica Coding Made Simple for Advanced Computations


    We will demonstrate Wolfram Mathematica technologies in the area of data analytics & machine learning, with world-class machine learning and classification algorithms, semantic data representation, and the knowledge-based programming. Also it allows immediate support of a variety of existing and new parallel programming paradigms and data-sharing models, with very minimal configuration! The enormous parallel processing power of GPUs can be used from an integrated built-in interface of Wolfram Mathematica. This allows high-performance solutions for many areas such as financial simulation, image processing, and modelling.
    1. Quick Introduction to Wolfram Technology
    2. Data Science Workflows in Wolfram Mathematica
    3. Computation & Analytics
    4. Handling of un-structural data
    5. Machine Learning & Predictive Functions
    6. GPU Computing




  11. Mr. Jacob Thomas, Novorient Sdn. Bhd
  12. X TBA

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