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Ee-Peng Lim is a professor at the School of Information Systems of Singapore Management University (SMU). He received Ph.D. from the University of Minnesota, Minneapolis in 1994 and B.Sc. in Computer Science from National University of Singapore. His research interests include social network and web mining, information integration, and digital libraries. He is the co-Director of the Living Analytics Research Center (LARC) jointly established by SMU and Carnegie Mellon University. He is currently an Associate Editor of the ACM Transactions on Information Systems (TOIS), ACM Transactions on the Web (TWeb), IEEE Transactions on Knowledge and Data Engineering (TKDE), Information Processing and Management (IPM), Social Network Analysis and Mining, Journal of Web Engineering (JWE), IEEE Intelligent Systems, International Journal of Digital Libraries (IJDL) and International Journal of Data Warehousing and Mining (IJDWM). He was a member of the ACM Publications Board until December 2012. He serves on the Steering Committee of the International Conference on Asian Digital Libraries (ICADL), Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), and International Conference on Social Informatics (Socinfo).

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Norma Alias is an Associate Professor and Research Fellow at UTM Johor Bahru Malaysia. Her PhD. in Industrial Computing (Parallel Computing) in 2004. She has experience in modeling, big data simulation, industrial computing, scientific computing, high performance computing, shared-distributed parallel computing system, grid computing and software development fields. She has supervised for 13 PhD students and 32 MSc with Philosophy. She is supervising ongoing 5 PhD students , 12 MSc with Philosophy students and reviewing postgraduate students of local and international universities from multi-faculty such as Computing Faculty , Science Faculty , Sport Science Research Center, Faculty of Biomedical and Health Science Engineering , UTM, UITM, UMS Malaysia and Gomal University, Pakistan. There are 11 innovations and invention medals received, published more than 200 publications, 4 Intellectual property declarations, 2 patent disclosures, 2 products commercialization. She has been appointed as general chair for ICMMM 2016-2017, ISHU 2016-2017, chair for RAFSS 2017 and committee member for some international conferences. Editorial Board Membership for 8 organizations. She has received UTM Service Excellence Award in year 2016 and Distinguished Women in Mathematical Science in year 2018 from VIWA India.

She has completed 20 research grants and handling ongoing task as project leader and principal researcher for 32 number of research grants with more than RM 4,000,000 budget. She has 3 parallel computer systems laboratories have been developed and connected with LAN and MYREN network at UTM. Principle researcher and leader for GRID computing lab, mathematical parallel software, multicore computing laboratories and CPU-GPU NVIDIA System. The research plan is to contribute in grid technology and middleware combining the worldwide cluster of distributed computer systems for solving the 4iR grand challenge and big data applications in 21 century. She is active organizing a monthly workshop such as Matlab, Maple, Mathematica, Comsol Multiphysics, CUDA, C++, Big data analytics, FEM, FDM and Machine Learning. She has been invited by 14 international conferences in the year 2016-2017 as keynote, plenary and invited speaker in Malaysia, China, Saudi Arabia, Japan, Indonesia, Vietnam, Pakistan, including ICNOOR VII, IC-STAR 2016, ICMMM 2016, ICMSE 2017, WCSM 2017 ICMCSC 2017, CICMA 2017, LUMS 2017, ICODIS 2017, ICCSS 2017, ICNOOR VIII, SCIETECH 2017, ICIIT 2018, ICOMEIA 2018, ICODIS 2018 and ICCSCM 2018.

Dr Normi Abdul Hadi is a senior mathematics lecturer in Universiti Teknologi MARA, Selangor, Malaysia. Her research interest includes Computer Aided Geometric Design (CAGD) which involves 2-dimensional and 3-dimensional image reconstruction using spline curves and surfaces. Currently, she is actively involved in high performance computing using GPGPU research.