Invited Talk

"Web3.0: Data Sovereignty as the Key to Unlocking Data Value"

Talk Abstract

The recent progresses of Blockchain and AI prompt a reassessment on the ownership of data and its value. Blockchain has emerged as the foundational technology to address the question of data ownership through decentralization. Meanwhile, the rapid advancement of machine learning has created an insatiable demand for data, highlighting its immense value. Under this context, the Internet starts its revolution from Web2.0 to Web3.0, reshaping our relationship with data.

This talk will interpret Web3.0 from the perspective of data. The presentation will begin by defining Web3.0 and dispelling prevalent myths. It will then turn to data sovereignty, reviewing recent advances and outlining key challenges. The final party addresses trusted data flow which is the key to realizing data’s value, with a focus on secure data trading and privacy-preserving machine learning. The speaker will also sharing his team’s recent research and findings in data sovereignty and trusted data flow. These elements together illustrate that the path to a true Web3.0 is paved by securing data rights and enabling trustworthy value creation.

Short Biography

Ka Lok Man is currently a Professor at the School of Advanced Technology, Xi'an Jiaotong-Liverpool University (XJTLU), Suzhou, China, and an Honorary Recognized Professor at the Dept. of Computer Science, The University of Liverpool, UK. He is an External PhDsupervisor at the Dept. of Computer Science, KU, Leuven, Belgium. He is also an Honorary Recognized Professor at Big Data Excellence Centre, Kazimieras Simonavičius University, Lithuania and a Visiting Professor at the Faculty of Informatics, Vytautas Magnus University, Lithuania. 

  He has about 20 years of international teaching experience, several years of industrial experience in integrated circuit design and has been engaging in many industry-oriented research projects in Microelectronics and Computer Science, many of them in  cooperation with STMicroelectronics, Synopsys and LG. He has a good publication record and to date has more than 700 published academic articles. Also, he has received more than 50 international research awards and fellowships.

  In addition, he has been a committee member, reviewer, session chair and/or general chair/co-chairof 250+ IEEE, IASTED, FTRA and IAENG conferences. He is also the editor-in-chief/editor of over70 international scientific and engineering journals as well as lead guest editor of many journal special issues indexed in SCI, EI, SCOPUS and/or ESCI databases. Over the years, he has been awarded with the research grants, teaching grants, subsidies, and honorariums totaling more than USD 1,000,000 from government agencies, national research councils, research associations and industry. In addition, he has been frequently invited to give keynote speeches at premier international conferences and seminars in world leading universities. Finally, he has established the Wireless Sensor Network Laboratory at the Department of Computer Science and Software Engineering, and the Data Mining Laboratory of the International Business School both at XJTLU. In addition, he is currently the Director of the University Research Centre of Artificial Intelligence in Internet of Things (AI-IOT) at XJTLU. 

  Ka Lok Man is the Founder and Chair of the DATICS (Design, Analysis and Tools for Integrated Circuits and Systems) international research group and the Advancements in Computing in AI, IoT and Computer Engineering Technology Committee (CICET); and which have about 200 active members worldwide from 50+ different countries, including department heads, faculty deans, full professors, senior researchers and engineers.