TUTORIAL SPEAKERS:
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Associate Professor Kashif Nisar, IEEE SMIEEE,
website: directory.ums.edu.my/expertise/kashif-nisar |
SPEECH TITLE: "Future of Creative Technologies and Industries: Empowering The Fourth Industrial Revolution and Internet of Things"
SUMMARY:
The Fourth Industrial Revolution (IR 4.0) is expected to change how we live, work, and communicate with creative technologies. It is also likely to change the things we value and the way we value them in the future. IR 4.0 introduces new technology creatively what has been called the “smart factory,” in which cyber-physical systems monitor the physical processes of the factory and make decentralized decisions. Industry 4.0 is a name for the current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things, cloud computing, games, tangible technologies, mobile media and social and object-oriented research. The physical systems become Internet of Things (IoT), communicating and cooperating both with each other and with humans in real time via the wireless web. According to The World Economic Forum, an estimated 65% of kids enrolling in primary education today will end up working in jobs that haven’t been created yet. The Internet plays a central role in our society. The IoT refers to the use of intelligently connected devices and systems to leverage data gathered by embedded sensors and actuators in machines and other physical objects. The IoT is a hot topic in the industry. These architectural design efforts aim to directly address the challenges that arise from the increasing demands for highly scalable content distribution, from accelerated growths of mobile devices, from wide deployment of IoT, and from the need to secure the global Internet. The IoT represents an evaluation of Machine to Machine (M2M) through the coordination of multiple vendors’ machines, devices and appliances connected to the Internet through multiple networks.
ABOUT THE SPEAKER:
Dr. Kashif Nisar has done Post-Doctoral from Auckland University of Technology, Auckland, New Zealand. Before, he completed his PhD as a candidate with fully funding at the Universiti Teknologi PETRONAS, Malaysia. Through his major in Computer Network and Information Technology; he has obtained solid training in Research and Development (R&D), writing funding proposal, journal publication, and as a consultant. Currently, Dr. Nisar is serving as an Associate Professor at Faculty of Computing and Informatics University Malaysia Sabah, Kota Kinabalu Sabah, Malaysia. In 2014, he has served as a Guest Professor at Fernuniversität Hagen, Germany, fully funded by DAAD. He holds a number of visiting professor positions in well-known universities such the McMaster University, Hamilton, ON, Canada, University of Auckland, New Zealand and Waseda University, Tokyo, Japan. Dr. Nisar has been published 150+ research papers in many high impact journals and well reputed international conferences proceeding in the area of Computer Network, Information Centric Network (ICN) and Future Internet (FI). Dr. Nisar is the member of many professional organizations including IEEE, ISOC, ACM-SIGMOBILE, Engineers Australia, APAN Fellow, ITU Fellow, IAENG, NSRG-AUTNZ, Park Lab etc. He has been serving as reviewer in many IEEE Transactions, Elsevier Science and some other journals as well as in the committee and reviewed of many International Conferences.
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Professor Netra Pal Singh, Chairperson, Information Management
website: www.mdi.ac.in/faculty/detail/32-n-p-singh/ |
SPEECH TITLE: "Feature Selection Methods – Data Mining and Machine Learning Algorithms"
SUMMARY:
This tutorial will discuss various dimension of feature section process, i.e., rational of feature selection; different methods such as filter, wrapper, and embedded of feature selection; impact of various feature selection methods on the performance of machine learning models for different set of data , i.e., less number of records and less number of variables, less number of records and large number of features, large number of records and not so large number of features, and large number of records and large number of variables; and growth of new innovative and novel approaches of feature selection methods. In addition, tutorial will also discuss application of feature selection in regression, classification and clustering. The programming language used for empirical evidence in the context of impact of feature selection methods on the performance of various machine learning algorithms is “R”.
ABOUT THE SPEAKER:
Short Bio Data of Dr. N.P. Singh, Professor and Chair (Department of IT). Dr. Netra Pal Singh is a professor of Information Systems at Management Development Institute (MDI) in India since 2002. He received his M.Sc. from CCS Meerut University Meerut, India, M.S. from Birla Institute of Technology & Science, Pilani, India, and Ph.D. from CCS Haryana Agriculture University (HAU), Hisar, India. He is recipient of Young Scientist award from Indian Society of Agricultural Statistics. Prior to joining MDI, he has served as Professor & Head (Comp & MIS) at National Institute Financial Management, India from 1995 to 2002; Associate professor at Institute Rural Management, Anand, India; Scientist and Assistant Scientist at CCS HAU Hisar. He has also served as professor (IS), KIMEP University, Kazakhstan. His research experience and interests are data mining/ data analytics, applications of artificial intelligence, telecommunication management, business intelligence, enterprise systems and optimization models. He has published more than ninety articles in national & international journals. He has supervised nine Ph. D, students. He has completed fifty consulting & research assignments for the organizations of government of India, Asian Development Bank, World Bank, public sector companies and private sector companies. His recent two years consulting & research projects includes ERP implementation at BBMB (Public Sector Undertaking- Hydro Project), Application of Information Systems in Small & Medium enterprises, Evaluation of PMEGP scheme (Ministry of Micro, Small Medium Enterprises), Vidhya (Education) IV project of National Thermal Power Corporation, evaluation of CSR projects of Security Printing Minting Corporation of Indian Limited, devising policies for transition of informal enterprises to formal enterprises.