Speakers
TBA
Keynote Speakers for ICNIT 2022
Prof. Yoshifumi Manabe Kogakuin University, Japan
Yoshifumi Manabe was born in 1960. He received his B.E., M.E., and Dr.E. degrees from Osaka University, Osaka, Japan, in 1983, 1985, and 1993, respectively. From 1985 to 2013, he worked for Nippon Telegraph and Telephone Corporation. From 2001 to 2013, he was a guest associate professor of Graduate School of Informatics, Kyoto University. Since 2013, he has been a professor of the Faculty of Informatics, Kogakuin University, Tokyo, Japan. His research interests include distributed algorithms, cryptography, game theory, and graph theory. Dr. Manabe is a member of ACM, IEEE, IEICE, IPSJ, and JSIAM.
"Secure Computation using Physical Cards"
Abstract: Computers are commonly used for encryption and decryption in cryptography. In 1990, a new kind of cryptographic protocol has been proposed in which physical cards are used instead of computers to securely calculate values. They are useful when people cannot trust software in computers. den Boer first showed a five-card protocol to securely calculate logical AND of two inputs. Since then, many protocols have been proposed to calculate logical functions and specific computations such as millionaires' problem, voting, random permutation, grouping and so on. This talk shows several protocols and recent results using private operations. The number of cards used in the protocol is the most important criteria to evaluate card-based cryptographic protocols. Using private operations, theoretically minimum number of cards is achieved in many problems. The protocols can be used as a zero-knowledge proof of a solution of puzzles such as Sudoku.
Prof. Eric Tsui Hong Kong Polytechnic University, Hong Kong S.A.R, China
Eric Tsui had spent 16 years in industry
with Computer Sciences Corporation (CSC) in Australia taking
on various capacities including Chief Research Officer and
Innovation Manager. During this period, he has made
significant contributions to the company’s expert systems
products, applied research and innovation programmes.
He joined PolyU in 2005. His speciality areas are Knowledge
technologies including Search Engines, Portals, Personal
Knowledge Management, Personal Learning Environments, and
Knowledge Cloud services.
Professor Tsui is also an honorary advisor of KM and
Community of Practice to three Hong Kong government
departments. In the past decade, he has supervised or
involved in more than 200 KM projects in Hong Kong, Asia and
Australia.
In 2014 and 2018, he twice received the Global Knowledge
Management Leadership Award, among many other awards on his
use of technologies to support Teaching and Learning. He was
listed an outstanding and exemplary academic in PolyU's last
2 annual reports.
Since August 2015, he has designed and launched two MOOCs
(Massive Open Online Course) -“Knowledge Management and Big
Data in Business” and “Industry 4.0: How to revolutionalise
your business?” on the MIT edX platform. Together, they have
attracted more than 77,000 enrolments and one of them is
rated among the Top 7 Business MOOCs worldwide (Source:
Canadian Business, April, 2018).
"Blockchain in the Financial Services Industry: A Diffusion of Innovation Perspective"
Abstract: The aim of this research is to explore the drivers and barriers of the diffusion of blockchain innovations in the financial services industry. Blockchain is a digital system for recording transactions that is based on the Distributed Ledger Technology (DLT). Blockchain platforms are currently leading the innovations in the financial services industry, since they can provide transparency, accountability and verifiability in the transactions of data and digital assets. However, blockchain innovations are based on a novel technological and business logic and are propelling a disruption in the financial services industry. At the same time, their diffusion is highly dependent on the broader market, societal and regulatory context. Therefore, a broader perspective is needed to explore the diffusion of blockchain innovations in the financial services industry. This research draws from the theory of diffusion of innovations and the sociotechnical systems perspective in order to capture the current drivers and barriers of blockchain innovations in the financial services industry through the method of multiple case studies. Current talk will focus on preliminary results and a case study of this work in progress.
Invited Speakers
Dr. Sabetzadeh Farzad City University of Macau
Yoshifumi Manabe was born in 1960. He received his B.E., M.E., and Dr.E. degrees from Osaka University, Osaka, Japan, in 1983, 1985, and 1993, respectively. From 1985 to 2013, he worked for Nippon Telegraph and Telephone Corporation. From 2001 to 2013, he was a guest associate professor of Graduate School of Informatics, Kyoto University. Since 2013, he has been a professor of the Faculty of Informatics, Kogakuin University, Tokyo, Japan. His research interests include distributed algorithms, cryptography, game theory, and graph theory. Dr. Manabe is a member of ACM, IEEE, IEICE, IPSJ, and JSIAM.
"NextGen Education: Preparing for Tomorrow's Jobs"
Abstract: To keep up with the industry's evolving demands, learners need to possess the right skills to keep up with the rapid development of the digital economy. This is because operations and service delivery across business sectors are increasingly digitalized. Despite this, employment functions and requirements in the commercial sector consistently change faster than the abilities of newly qualified graduates through traditional learning and teaching models. As a result of the skills gap between hiring expectations and candidates' competence in the digital economy, employers and graduates face challenges that could negatively impact economic growth. In light of the unknowable nature and scope of new employment roles in the digital economy, it is crucial to consider the methodology through which education can prepare learners for such careers. Despite the disruption caused by the COVID-19 pandemic of traditional education practices and teaching methods, the situation has caused us to see the future of education radically differently - from a technological standpoint. To prepare learners for the careers of tomorrow, which do not yet exist, technological advancements are an essential component of their approach to preparing learners.
Dr. Adela Lau The University of Hong Kong, Hong Kong S.A.R, China
Dr Adela Lau is the Deputy Director of HKU SAAS Data Science Lab at Department of Statistics and Actuarial Science of University of Hong Kong. Dr Lau published over 40 journal and conference papers and funded over 30 research and industrial collaboration and consultancy projects in the area of machine learning, business intelligence, social media and big data analytics, intelligence applications, risk management, information system adoption, ontology/taxonomy building, business process re-engineering, portal design, knowledge management, e-learning, public/community health studies, healthcare systems and nursing clinical quality control & assessment. She gained several awards including NANDA Foundation Research Grant Award (USA), Faculty Merit Award in Services (HK), and Inaugural Teaching and Learning Showcase Award (HK). She was the former director of Center for Business Development at Madonna University in USA, and the co-director of the Center for Integrative Digital Health at Hong Kong Polytechnic University (PolyU) and led the IT team for healthcare product innovation. Dr Lau was an active committee member of Knowledge Management Research Center at PolyU and Data Science Center at Hong Kong University of Science and Technology (HKUST), in which she initiated and developed industrial applied-research consultancy projects. She was also the UG coordinator of the Risk Management and Business Intelligence Program at HKUST, and was responsible to lead, execute, and coordinate the program works including curriculum design, enrichment programs, and administration across three schools of business, science, and engineering.
"Using AI and Web6.0 for 6G for Intelligent Application - The HKUCampusland Metaverse"
Abstract: HKUCampusland is an intelligent Web6.0 environment in metaverse that allows universities, students, and companies connecting together for innovation, collaboration and wisdom creation. It overcomes the time and space barriers. It provides the web 6.0 AI tools in metaverse like AI chatbot, AI recommender, AI emotion detection, motion detection and community detection, and mixed reality for university, school and company to interact and collaborate with each other. It is the next generation of the 3D virtual world with intelligence for humans to experience real world life in a metaverse and brings humans from the real world to the virtual world and vice versa. It is a breakthrough of technology to bring humans from web2.0 (social connectivity, and user-generated content) to 6.0 environment (AI, social network, mixed reality, emotional, progressive thinking and active action).
