Keynote Speakers
Prof. Xiaofeng Ding
Huazhong University of Science and Technology, China
Research Area：
Big data management, cloud computing, data privacy protection methods, data query processing technology
Research experience:
I am currently a Professor and Pd.D Supervisor in the School of Computer Science and Technology at Huazhong University of Science and Technology (HUST). I received my Ph.D degree in Computer Science from HUST in 2009. I also worked as Research Fellow at the National University of Singapore and the University of South Australia during 2010-2013. My research interests mainly include data privacy and query processing, data encryption, graph databases and deep learning. Most of my works are published in reputable jounrals or conferences like IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Dependable and Secure Computing, International Conference on Very Large Data Bases (VLDB), IEEE International Conference on Data Engineering (ICDE), ACM Conference on Information and Knowledge Management (CIKM) and etc.
Speech Title:
Privacy Preserving Problems in Big Data Management
Abstract:
The need to efficiently store and query large scale datasets is evident in the growing number of data-intensive applications, particularly to maximize the mining of intelligence from these data (e.g., to inform decision making). However, directly releasing dataset for analysis may leak sensitive information of an individual even if the data is anonymized, as demonstrated by the re-identification attacks on the DBpedia datasets. In this talk, we introduce a novel k-decomposition algorithm and define a new information loss matrix designed for utility measurement in massively large graph datasets. We also propose a novel privacy preserving framework that can be seamlessly integrated with graph storage, anonymization, query processing, and analysis.
Prof. Arumugam Dhanalakshmi
Acharya Bangalore B School, India
Research Area：
Values, Business ethics, Customer Relationship Management, E-commerce and internet technology, Impact of E-commerce and IT on the Belt and Road Initiative and E-commerce and Virtual Agents.
Brief:
My research experience is inter-disciplinary, worked on the following areas: Values system, classification of personality by using artificial neural network, business ethics and corporate governance. Post-doctoral research at Daito Bunka University, Tokyo, Japan and the role of president at Centre for Rural Health and Social Education enabled me to gain research experience. Currently working on the "Role of E-commerce and Internet Technology in Belt and Road Initiatives" and another ongoing research is on FitTech in digital economy and Blended learning.
Speech Title:
Internet Technologies driven Public Management/E-government in the Digital Economy
Abstract:
Change is permanent, the world is continually changing. In the field of internet technology, the changes are not just moderate but it is radical and transformational in nature leading to faster digital transformation. Digital transformation is a broader term than internet “unicorns”, at its core, digital transformation is about using the latest technology to do what we already do – but in an innovative way. In other words, digital transformation refers to the adoption of digital technology to transform services or businesses. This is achieved by replacing manual processes with digital ones or replacing outdated digital technology with upgraded digital technology. Here an attempt is made to relate internet technology, public management and its application on E-government in the digital economy. This effort will seek to discover the foundations of Public Management and how it relates to information technology, specifically understanding E-government and other technologies in the public domain. This presentation will include the following: digital economy, digital transformation, public management, new public management, internet technology and it also discusses the E-government initiatives of different countries across the globe.
Keywords: Internet Technologies, Digital Economy, Public Management, E-Government.
A. Prof. William Yeoh
Deakin University, Australia
Research Area：
Business intelligence & analytics, Information systems, Crowdsourcing, Cyber security
Research experience:
Dr William Yeoh is an associate professor at Department of Information Systems and Business Analytics, Deakin University. His current research interests include business analytics, cybersecurity, crowdsourcing, AI, blockchain, etc. His research is supported by various funding bodies/organisations, and has appeared in leading A* journals and top information systems conferences (e.g. ICIS). He is also a frequent speaker in industry forums. In 2020, he was named amongst the Top 25 Analytics Leaders in Australia by the Institute of Analytics Professionals of Australia.
His leadership and contribution has been recognised with several awards, including the ICT Educator of the Year Gold Award (awarded by the Australian Computer Society ACS - Australia’s premier ICT professional association and accreditation body), internationally-competitive IBM Faculty Awards, Deakin’s Vice-Chancellor Award for value Innovation (in recognition of his leadership for IBM Centre of Excellence in Business Analytics at Deakin), and Deakin Faculty Excellence in Research Award.
Moreover, his mentored team was crowned the World Champion at the IBM Watson Analytics Global Competition held in Las Vegas. Recently, his mentored team won the 'COVID-19 Flatten the Curve’ Hackathon (the biggest hackathon in Asia Pacific with 2,400 competitors from around the world). His life objective is to "Improve Quality of Life".
Speech Title:
Improving Cybersecurity Through Simulated Phishing Attack and Embedded Training Campaign
Abstract:
Phishing attacks are costly for any organizations and individuals. As such, organizations are raising phishing awareness among employees through simulated phishing attacks and training campaign. However, existing academic research has provided little guidance on how to strategize and implement a combined phishing awareness and training campaign. In this study, we conduct an in-depth case study on a large phishing campaign involving 10,928 individuals. The study provides a contextual understanding of the simulated phishing attack together with embedded training campaign. Based on the case findings, this study highlights the best practices for phishing campaign managers. This research is useful for organizations that are planning or are in the process of implementing or reviewing their phishing awareness and education program.
A. Prof. Yohannes Kurniawan
School of Information Systems, BINUS University, Indonesia
Research Area:
Business Intelligence, Business Process Analysis, Information Management, Information System Analysis, Knowledge Management, Project Management, User Experience
Research experience:
Having more than 10 years of experience in academics and industries, he has helped a lot of organizations to accelerate their digital transformation. Yohannes’ extensive expertise in Information System Development, Knowledge Management, Accounting Information Systems, Digital Business, Business Ethics, Business Communication, Employability & Entrepreneurial Skills, E-Learning, User Experience, Information System Security and Information System Development makes him become the Subject Matter Expert for UX and Educational Technology at BINUS CREATES. His research interests vary from Implementing Human Information Behavior Concept for Design, Knowledge Management System impact in Hospital to Analysis and Design of Stock and Vehicle Maintenance Information System.
Apart from his work in digital transformation, Yohannes currently holds a strategic role as the Dean of School of Information Systems at BINUS UNIVERSITY, as well as prestigious positions in various associations as such co-founder and Vice Chair of Asosiasi Sistem Informasi Indonesia (ASII), and Chair of Indonesia ACM SIGCHI. His recent experiences also hold the role as a Chair of International HCI and UX Conference. He has contributed on various projects related to UI/UX such as Principle UX Consultant for Start-Up Company in Indonesia.
Speech Title:
A Study of Systems Approach in Service Design
Abstract:
Service Design or Service Operations Design is a new buzzword in the world. For the interpretation that is currently still confusing, in this topic I will discuss a good and correct understanding of Service Design. The buzzword "Service Design" is getting more popular because of a campaign from a company that wants to change its direction in selling services from "Customer Experience" to "Service Design". The Service Design based on Human-centered Design and aims to produce service processes and strategies with outstanding User Experience (UX). In the context of products consisting of goods and services, Service Design is closely related to Product Design. The concept of service design, it will help the teams to better communicate and collaborate by providing an in-depth understanding of the multiple contributions they can integrate to create the conditions for new service. Service design incorporates both user and system perspectives, allowing the team to gain multiple perspectives by zooming in and out on the interactions within the service.
Prof. Yang Wang
Faculty of Geography, Yunnan Normal University, China
Brief:
Yang Wang is a professor in the Department of Faculty of Geography, Yunnan Normal University. He graduated from the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences with a Ph.D. (major in human geography). His research interests are urban geography and geographic data applications. He has published 65 academic papers as the first author or corresponding author, including 12 SSCI/SCI papers, and 4 academic books published independently or edited by him. A single paper has been cited for 438 times. He presided over 2 projects of the National Natural Science Foundation of China. As the first inventor, he authorized 2 invention patents and 7 utility model patents. He has obtained 9 software copyrights, one of which won the title of "Guangdong High-tech Product". His related academic achievements have won academic awards such as the "First (2016) Most Influential Chinese Geographical Journal Excellent Paper Award" and "The Second Prize of the 2020 Guangdong Provincial Natural Science Award". He is also a member of the youth editorial boards of the journals of “Economic Geography” and “Tropical Geography”.
Speech Title:
Theory and Model of Urban Housing Hedonic Rent
Abstract:
There are bound to be differences in the formation logic and main influencing factors between housing prices and rents within cities. However, the current research results on rent are still far less than housing prices. I draw on the basic ideas and starting points of the hedonic price theory (applicable to the study of housing prices), combined with the basic characteristics of the formation of housing rents, to propose a theoretical framework and a hedonic rent model suitable for the study of urban housing rental prices. The theoretical framework of hedonic rent can be briefly described as follows: housing has a variety of characteristic differences and is a heterogeneous rentable commodity. These characteristics jointly determine the rent of the house, and the rent of the house is the comprehensive manifestation (monetary manifestation) of its various characteristics. This theoretical framework can be used to analyze and explain the influencing factors and formation mechanisms of housing rents within cities. Compared with the traditional hedonic price theory, the hedonic rent theory is more suitable for explaining and analyzing the influencing factors of urban housing rent. Under the guidance of rental housing, the components of housing characteristics are divided into "quartiles", highlighting the characteristics of convenience and environment, which is more in line with the characteristics of China's urban rental market than the traditional hedonic price model ("three-point method"). On this basis, a characteristic rent model is constructed. The characteristic rent model is a regression model, the housing rent is the dependent variable, and the evaluation indicators related to building characteristics, convenience characteristics, environmental characteristics, and location characteristics are independent variables, and the model can be estimated by global regression or local regression.