Important Dates

Workshop Proposal

July 15, 2022

Paper Submission

September 01, 2022

Author Notification

October 15, 2022
October 24, 2022

Camera-Ready Submission

October 31, 2022
November 09, 2022

Conference Date

December 15-18, 2022

Sponsored and supported by

Keynotes Speaker

Yi Pan

Automatic and Semi-Automatic Translation for Cloud Programming Models


ABSTRACT: Cloud computing has gradually evolved into an infrastructural tool for many scientific and business applications with intensive data or computing requirements. One of the challenges in cloud computing now is how to run software efficiently on cloud platforms since lots of classic sequential codes are not ready to be executed in parallel in cloud environments, resulting in long execution time and low efficiency. It is also costly and labor intensive to redesign and convert current sequential codes into cloud codes running on cloud programming models such as MapReduce or Spark. Thus, automatic translation from sequential codes to cloud codes is one of the directions that could resolve the problem of slow code migration from traditional computing platforms to cloud infrastructures. In this talk, I will present several automatic translators (M2M, J2M and J2S) for cloud programming models MapReduce and Spark. I will provide details of the design of our translators and their performance results based on many experiments. Performance comparisons between hand-coded cloud programs and automatically translated codes will also be carried out. Semi-automatic translation with human tuning will also be introduced. Our experimental results indicate that the translators we have designed not only can precisely translate the sequential codes such as MATLAB codes or Java codes into cloud codes, but also can achieve almost a linear speedup in performance if the data sizes in the applications are huge enough. Since cloud computing is used for big data anyway, this demonstrates that automatic translation to reduce labor costs is a possible effective way to go for cloud programming. In addition, the limitations and shortcomings of our automatic translation and semi-automatic translation will be identified and future directions in this area will be provided.

BIO: Dr. Yi Pan is currently a Chair Professor and the Dean of Faculty of Computer Science and Control Engineering at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China and a Regents’ Professor Emeritus at Georgia State University, USA. He served as Chair of Computer Science Department at Georgia State University from 2005 to 2020. He has also served as an Interim Associate Dean and Chair of Biology Department during 2013-2017. Dr. Pan joined Georgia State University in 2000, was promoted to full professor in 2004, named a Distinguished University Professor in 2013 and designated a Regents' Professor (the highest recognition given to a faculty member by the University System of Georgia) in 2015.

Dr. Pan received his B.Eng. and M.Eng. degrees in computer engineering from Tsinghua University, China, in 1982 and 1984, respectively, and his Ph.D. degree in computer science from the University of Pittsburgh, USA, in 1991. His profile has been featured as a distinguished alumnus in both Tsinghua Alumni Newsletter and University of Pittsburgh CS Alumni Newsletter. Dr. Pan's current research interests mainly include bioinformatics and health informatics using big data analytics, cloud computing, and machine learning technologies. Dr. Pan has published more than 450 papers including over 250 journal papers with more than 100 papers published in IEEE/ACM Transactions/Journals. In addition, he has edited/authored 43 books. His work has been cited more than 18500 times based on Google Scholar and his current h-index is 88. Dr. Pan has served as an editor-in-chief or editorial board member for 20 journals including 7 IEEE Transactions. Currently, he is serving as an Editor-in-Chief of Big Data Mining and Analytics, an Associate Editor-in-Chief of Journal of Computer Science and Technology, Chinese Journal of Electronics, and IEEE/ACM Transactions on Computational Biology and Bioinformatics. He is the recipient of many awards including one IEEE Transactions Best Paper Award, five IEEE and other international conference or journal Best Paper Awards, 4 IBM Faculty Awards, 2 JSPS Senior Invitation Fellowships, IEEE BIBE Outstanding Achievement Award, IEEE Outstanding Leadership Award, NSF Research Opportunity Award, and AFOSR Summer Faculty Research Fellowship. He has organized numerous international conferences and delivered keynote speeches at over 70 international conferences around the world.

Dr. Pan is a Member of the Academy of the United Nations Sciences and Technology Organization, Foreign Member of Ukrainian Academy of Engineering Sciences, Fellow of American Institute for Medical and Biological Engineering, Fellow of Institute of Engineering Technology and Fellow of Royal Society for Public Health.

Abdulmotaleb El Saddik

AI-Powered Metaverse


ABSTRACT: The Metaverse is the universe of persistent & consistent digital Twins. A digital twin is a digital replication of a living or non-living physical entity. By bridging the physical and the virtual worlds, data is transmitted seamlessly allowing the virtual entity to exist simultaneously with the physical entity. There is a need to understand how people will be represented and how thy interact with each other and the objects in the Metaverse. In this talk we present a body of work on Digital Twins in collaborative Haptic-Virtual Environments. Furthermore, the speaker will present recent research outcomes from different communities and discuss the challenges and issues ahead.

BIO: Before joining MBZUAI, Prof. El Saddik served as a Distinguished University Professor in the School of Electrical Engineering and Computer Science at the University of Ottawa. He is an internationally recognized scholar who has made strong contributions to the knowledge and understanding of intelligent multimedia computing, communications, and applications. He is Editor-in-Chief of the ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), Associate Editor & Guest Editor for several Transactions and Journals. He has co-authored 10 books and more than 600 publications and chaired more than 50 conferences and workshops and has supervised more than 150 researchers. He has received research grants and contracts totaling more than $22M. He is the author of the book Haptics Technologies: Bringing Touch to Multimedia.

Dr. El Saddik is a Fellow of the Royal Society of Canada, Fellow of IEEE, Fellow of the Canadian Academy of Engineering and Fellow of the Engineering Institute of Canada. He is an ACM Distinguished Scientist and has received several awards, including the Friedrich Wilhelm Bessel Award from the German Humboldt Foundation, the IEEE Instrumentation and Measurement Society Technical Achievement Award. He also received IEEE Canada C.C. Gotlieb (Computer) Medal and A.G.L. McNaughton Gold Medal for important contributions to the field of computer engineering and science and the IEEE TCSC Achievement Award for Excellence in Scalable Computing.

Zhongdong Wang

Digitalised Smart Grid for Net-Zero Energy Future


ABSTRACT: Electrical power systems are the essential infrastructure to a modern society, and have been developing since 1950s with higher voltage and larger capacity. Power transmission and distribution networks are currently going through digitalisation, with net-zero target in 2050, a smarter grid is required to deal with the intermittent renewable generation in order to keep the light on. In this talk, I will present the smart grid concept, and explain why AI and ML can help energy and power systems to cope with uncertainty of generation and demand, and how AI and ML can help build digital twins for energy network, ensuring reliability and resilience of energy supply to the society.

BIO: Prof Zhongdong Wang, is a Professor of Electrical Power Engineering, Head of Exeter Energy and Director of the Centre for Smart Grid at the University of Exeter. She received her BEng degree and MSc degree from Tsinghua University in 1991 and 1993, respectively and PhD degree in Electrical Engineering from UMIST in 1999. She joined The University of Manchester in 2000 and was promoted to a full professorship in 2009. She was the Associate Dean for the Faculty of Science and Engineering at the University of Manchester (2016-2020) and Pro-Vice-Chancellor and Executive Dean for the College of Engineering, Mathematics and Physical Sciences at the University of Exeter (2020-2022). Prof Wang is a Fellow of the IET and IEEE.

Mischa Dohler

5G, XR and the Metaverse – A Silicon Valley View


ABSTRACT: In this keynote, I will discuss what technology enablers need to be put in place to ensure the successful birth of the next generation internet which we hope will be much more immersive compared to today’s internet. We will discuss XR device roadmaps, and how they are mapped to the 5G/6G timelines. We will discuss how these will enable fully immersive experiences for businesses and consumers alike.

BIO: Mischa Dohler was the Professor in Wireless Communications at King’s College London, driving cross-disciplinary research and innovation in technology, sciences and arts. He is a Fellow of the IEEE, the Royal Academy of Engineering, the Royal Society of Arts (RSA), the Institution of Engineering and Technology (IET); and a Distinguished Member of Harvard Square Leaders Excellence. He is a serial entrepreneur with five companies, a composer and pianist with five albums on Spotify/iTunes; and fluent in several languages. He sits on the Spectrum Advisory Board of Ofcom, and acts as policy advisor on issues related to digital, skills and education. He has had ample coverage by national and international press and media. He is featured on Amazon Prime.

Mischa Dohler is a frequent keynote, panel and tutorial speaker, and has received numerous awards. He has pioneered several research fields, contributed to numerous wireless broadband, IoT/M2M and cyber security standards, holds a dozen patents, organized and chaired numerous conferences, was the Editor-in-Chief of two journals, has more than 300 highly-cited publications, and authored several books. He is a Top-1% Cited Scientist across all science fields globally.

Mischa Dohler was Professor at King’s from 2013-2021, and the Director of the Centre for Telecommunications Research from 2014-2018. He is the Cofounder of the Smart Cities pioneering company Worldsensing, where he was the CTO from 2008-2014. He also worked as a Senior Researcher at Orange/France Telecom from 2005-2008.

Mischa Dohler is now Chief Architect in Ericsson Inc. in Silicon Valley, US.

Yongduan Song

Adaptive Control of Nonlinear Dynamic Systems under Various Constraints


ABSTRACT: Most practical systems normally operate under various constraints, due to, for instance, physical limitation, system performance require- ment or security consideration. This talk presents an overview on the typical control design methods for systems with constraints, introduces some recent developments and highlights several potential future research directions.

BIO: Song Yongduan received his PhD degree in 1992 from Tennessee Technological University, USA. He held a tenure full professor position from North Carolina A&T State University during 2004-2008, he was also one of the six distinguished Langley Professors at Nation Institute of Aerospace (NIA) during 2005–2008. He is currently the Dean of the Institute of Artificial Intelligence at Chongqing University. He has led a number of national key R&D projects, published more than 250 papers, 12 monographs, and holds more than 80 patents from China, the United States, and Japan. His research interests include intelligent robot, control theory and application. He is a Fellow of IEEE and he is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems.

Hui Li

Research Progress and Development Trend of Privacy Computing


ABSTRACT: With the rapid development of information technology and the continuous evolution of service models, frequent cross-border, cross-system, and cross-ecosphere interactions of user data have become more and more common, but the existing privacy protection schemes cannot provide systematic protection, and there is an urgent need to propose a perfect theoretical system of privacy protection. This speech first introduces why privacy computing should be studied, the academic connotation of privacy computing, and the academic differences with other technologies, then introduces the theory and key technical system of privacy computing, mainly including: privacy computing framework, formal definition of privacy computing, important features of privacy computing, privacy protection effect evaluation, algorithm design guidelines, privacy computing language, forensic techniques in privacy computing framework, etc. Finally, it briefly introduces the future development trend.

BIO: Dr. Hui Li is currently a chair professor and dean of cyber engineering at Xidian University. He has over 20 years of experience in applied cryptography, privacy computing, information theory and coding. He has published over 300 papers in academic journals and conferences. He served as chair of SIGSAC China from 2016-2020, board member of Chinese Association of Cryptologic Research, board member of Chinese Information Processing Society of China. His Google Scholar Citation is over 12000, and h-index is 54.

Lei Zhang

Digital Twins and Intelligent Computing Platform for Smart City and Industry Applicaitons


ABSTRACT: Data is the new resource in the economy, Alibaba Could help convert data into intelligence, decision support, and value through the digital transformation in cities and industries. Digital twin technology drive digital transformation in Smart City. For example, using digital twin, we can combine dynamic and static data from mutiple sources to improve safety, efficiency and sustainability. Following success in City Brain applications in more than 50 citiies internationally, Alibaba Could provides a City Digital Twins Platform as the new foundation for the digital transformation of city governence and operations, which is based on a “4+1” technology architecture.

BIO: Dr. Lei Zhang is the Vice President and Chief Scientist of Smart City at Alibaba Cloud Intelligence. He is in charge of core data and AI technology platform development related to government and industry applications. He also leads R&D, solutions, and business development teams in transportation, logistics, automated vehicle, and natural resources verticals. Dr. Zhang is an internationally renowned researcher with more than 20 years of experience in data science, AI, and systems analysis/simulation/modeling. He has published more than 350 refereed papers in top international journals and conferences and won numerous research awards. Dr. Zhang previously served as a chair professor and institute direoctor at a leading university, Secretary General for the World Society for Transportation and Land Use Research, Academic Chair of the INFORMS Transportation and Logistics Society.

Haiqin Xie

Exploration on Digital Twin of COSMOPlat


ABSTRACT: Where there's the new technology, there's the productivity. As an important handle of the integration of virtual and reality, digital twin technology has increasingly been an important driving force of digital economy and industrial metaverse. Facing China's multi-category and multi-field industries, how to figure out a balance between common technologies and customized needs and meet the evolving requirements of different types of users has been a burning question. In this talk, we will answer these questions according to our explorations and practices as an industrial Internet platform. on the basis of reliable technological prowess,COSMOPlat will keep attention on key technologies of digital twin and data governance.

BIO: Ms. Xie has over 20 years of experience in information technology and management of large-scale enterprises, focusing on process and information technology, and innovative applications of industrial internet. She has leaded a variety of significant scientific research projects for MOST ( Ministry of Science and Technology of China), and played leading or crucial roles in a number of major national, provincial ,municipal and group-level projects. She has won the Shandong Province/Qingdao Science and Technology Progress Award for many times and was awarded Top Technical Talent in Shandong Province ,IDG China TOP5 Outstanding CIO and Industrial Internet Pioneer of the Year. Ms. Xie is also an advisor on industrial internet to MIIT (Ministry of Industry and Information Technology of China) and MOST ( Ministry of Science and Technology of China).

Mihaela van der Schaar

The future of healthcare in the metaverse


ABSTRACT: In this keynote, I will describe my vision of how the Metaverse will transform healthcare. By applying machine learning and AI on data from a variety of devices and sensors, we can better monitor and treat patients at home, in hospitals and in the clinic, and enable patients and clinicians to interact in completely new ways in the Metaverse on the basis of the derived analytics.The Metaverse will also allow AI-enabled avatars to join multidisciplinary clinical teams, creating more efficient and more advanced health delivery systems. Finally, I will outline a vision of how national and international healthcare systems can interact and be transformed and how clinical trials can be conducted and augmented in the Metaverse.

BIO: Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge and a Fellow at The Alan Turing Institute in London. In addition to leading the van der Schaar Lab, Mihaela is founder and director of the Cambridge Centre for AI in Medicine (CCAIM).

Mihaela was elected IEEE Fellow in 2009. She has received numerous awards, including the Oon Prize on Preventative Medicine from the University of Cambridge (2018), a National Science Foundation CAREER Award (2004), 3 IBM Faculty Awards, the IBM Exploratory Stream Analytics Innovation Award, the Philips Make a Difference Award and several best paper awards, including the IEEE Darlington Award.

Mihaela is personally credited as inventor on 35 USA patents (the majority of which are listed here), many of which are still frequently cited and adopted in standards. She has made over 45 contributions to international standards for which she received 3 ISO Awards. In 2019, a Nesta report determined that Mihaela was the most-cited female AI researcher in the U.K.

Mihaela has given plenary and keynote talks at more than thirty international conferences (including, most recently, ICLR 2020 and ICME 2020), tutorials at more than thirty venues (including, most recently, ICML 2021), and summer schools (including at MLSS 2020). She has also delivered invited lectures all over the world (including the Oon International Award Lecture at the University of Cambridge in 2018, the Very Reverend Derek Hole Lecture in 2019 at the University of Leicester and the Alan Tyler Lecture in 2019 at the University of Oxford, as well as Distinguished Seminars at MIT in 2019 and 2020).


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