2020 IEEE SERVICES - Industry Symposium - Technical Program

Technical Program

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Industry Panel 1:	Current and Future Trends of Education on Services Science and Engineering
Date/Time:	Thursday October 22, 01:00-02:20 UTC, 09:00 - 10:20 China time
Summary:	Services science and engineering have been playing pivotal roles in the fast growing economy in many countries while the world is entering the era of “Internet + Services + Society and Economics”. It is imperative to cultivate a large number of high-quality services science and engineering professionals through multi-disciplinary education. IEEE Computer Society initiated the world congress on services 16 years ago, and fully developed the World Congress on Services to include both the research and technology as well as the educational aspects of services. Industry had also recognized the importance of services, and a number of major IT corporations launched initiatives in this area. For example, IBM initiated a global education program on service science, management and engineering in 2005, and with several top Chinese universities coined the term serviceology focusing on the new discipline of services science and engineering. To date, many inter-disciplinary services-related academic programs with various degrees in China have been created and taught with industrial partners, and established cooperation, such as course development, textbook writing, students internships, joint R&D, studies, and sharing of real datasets. This panel will present the current state of the education programs and activities in the services science and engineering, and then focus on possible effective approaches to upgrading this important arena during the current dynamic environments, especially with the major impact of global pandemic. This panel will also address the following issues: What role should the industries and governments play in collaboration with the academia to strengthen services science and engineering education to meet the future needs of the society? What transformations are essential in the curriculum and the learning experience to attract more students to pursue services science and engineering? How can we increase the inter-disciplinary diversity in services sciences and engineering disciplines?
Panel Chair:	Stephen Yau, Arizona State University Stephen S. Yau is Professor of Computer Science and Engineering at Arizona State University (ASU), USA since 1994. He served as the chair of the Department of Computer Science and Engineering in 1994 - 2001, and later as the director of Information Assurance Center at ASU. Previously, he was on the faculties of Northwestern University, Evanston, Illinois, and University of Florida, Gainesville. He served as the president of the IEEE Computer Society and the editor-in-chief of IEEE COMPUTER magazine. He also served as the president of the American Federation of Information Processing Societies. He organized many major conferences, including the 1989 World Computer Congress sponsored by the International Federation for Information Processing, and the 2018 IEEE World Congress on Services. His current research includes services computing, cybersecurity, software engineering, IoT and blockchain. He has received many awards and recognitions, including the Tsutomu Kanai Award and Richard E. Merwin Award of the IEEE Computer Society, and the Outstanding Contributions Award of the Chinese Computer Federation. He is a Fellow of the IEEE and the American Association for the Advancement of Science. He received the Ph.D. degree from the University of Illinois, Urbana, in electrical engineering.
Panelist:	Naguib Attia, IBM Global Universities Program Naguib Attia is a Distinguished Engineer and VP of IBM Global University Programs. He is responsible for setting up IBM academic relations strategy, creating next generation global technical training programs in collaboration with universities, research institutions, and manage the overall award programs budgets. Previously, he was the VP& CTO of IBM Middle East and Africa (MEA). He was responsible for inventing and leading technical solutions for MEA as well as leading the Africa Skills Initiative. With over 25 years of industrial, manufacturing, research and academic experience, he has contributed to shape the development of IBM’s intellectual capital, industry insights, and overall solution portfolio for IBM. His specializations include Cloud, Business Analytics, Security, and Supply Chain optimization. He has a rich academic background with assignments from Chair, Computer Science Departments of Johnson C. Smith University, Charlotte, NC, The American University in Cairo, Egypt and University of Essex, England. He has actively published papers in different journals and has presented keynote addresses at many international conferences. He was the chair of Aerospace Industry Association Technical group. He holds a Ph.D. in Computer Science from the University of Essex, England.
Panelist:	Ying Chen, Huike Research Ying Chen is Chief Strategy Officer (CSO) of Huike Group and president of Huike Research, China, where he is in charge of group R&D innovation development. He is an expert and pioneer practitioner in industry-university collaboration. He has been guest professor at several top universities in China, He is CCF distinguished member. He co-authored four books on cloud computing and published over 60 papers in international journals and conference proceedings. He has more than 40 patents issued or being filed worldwide. He has served on the program committee and/or as co-chairs of various international conferences. Previously he was the associate director and chief scientist of cloud computing at IBM Research – China, He was on IBM global research strategy team of software and service defining and executing the research strategy. He received B.S. and Ph.D. both in computer science, from Southeast University in 1994 and 1999.
Panelist:	Xiaofei Xu, Harbin Institute of Technology Xiaofei Xu has been a professor of computer science at Harbin Institute of Technology (HIT). China, since 1993. He is currently the vice president of Harbin Institute of Technology, and the president of HIT, Weihai campus. He received his Ph.D. Degree in HIT in 1988. His research interests include service computing and service engineering, enterprise computing and enterprise interoperability, software engineering, databases and data mining. He is the author/co-author of more than 300 journal/conference papers, and seven books. He has supervised more than 30 Ph.D. in computer science. He is a fellow and board-member of China Computer Federation (CCF), vice director of the Steering Committee of Higher Education on Software Engineering of China, vice chair of China Association of MOOC on Computer Education, and vice chair of the Association of Industry-University-Research on IT-Related New Engineering in China. He is also the leader of the expert group of University-Industry Co-education Program of China Ministry of Education (MoE). He was a member of the MoE-IBM expert group of serviceology. He has created the early educational programs and courses on services science and engineering in China. He received IEEE TCSVC Outstanding Leadership Award in 2019 and is a general chair of 2020 IEEE International Conference on Services Computing.
Panelist:	Jia Zhang, Southern Methodist University Jia Zhang is the Cruse C. and Marjorie F. Calahan Centennial Chair in Engineering, Professor of Department of Computer Science at Southern Methodist University, Dallas, USA. She was on the faculties of Carnegie Mellon University - Silicon Valley, Northern Illinois University, and Nanjing University, China, and worked in industry as a software architect. Her research interests center around data science infrastructure, with a recent focus on scientific workflows, provenance mining, software discovery, knowledge graph, and their interdisciplinary applications. Her research is well funded by various government agencies. She co-authored a textbook "Services Computing" published by Springer in 2007 and has more than 170 refereed journal and conference papers and book chapters. Her research won several best paper awards, and yielded three US patents. She served as an associate editor of IEEE Transactions on Services Computing, and has been in various leadership roles in international conferences, including a program chair of 2020 IEEE International Conference on Services Computing. She received the first IEEE TCSVC Outstanding Service Award in 2016. She holds the Ph.D. degree in Computer Science from the University of Illinois at Chicago.

Industry Panel 2:	Industrial Big Data: Opportunities and Challenges
Date/Time:	Thursday October 22, 02:40-04:00 UTC, 10:40 - 12:00 China time
Summary:	Big data technologies are pivotal to the ongoing service-oriented digital modernization of global industries such as automotive, manufacturing, and the emerging crossover industries led by data-driven companies Alibaba Group, Amazon, Tencent, etc. Industrial big data technologies promise many impact-making opportunities in the areas of intelligent e-commerce, auto-driving, and intelligent voice. However, it is challenging to capture the opportunities because they demand transdisciplinary collaboration in large as well. For instance, it is still an open issue on how to cost-effectively exploit industrial big data to facilitate making agile decisions in business, possessing competitive business intelligence, and/or delivering contextual knowledge services in realtime. This panel will have in-depth factual discussions about the opportunities and challenges of industrial big data from the viewpoint of intelligent service creators.
Panel Chair:	Min Fu, LIZHI Inc. Dr. Min Fu is a vice president from LIZHI Inc. Prior to joining LIZHI Inc., Dr. Fu was an AI group leader from Alibaba Group. Dr. Fu also holds an honorary fellowship position with Macquarie University, Australia (MQU). Dr. Fu obtained his PhD from the University of New South Wales, Australia (UNSW). After completing his PhD, Dr. Fu worked as a post-doc researcher in the Commonwealth Scientific and Industrial Research Organization, Australia (CSIRO). Dr. Fu used to be a researcher with MQU and a visiting scientist with CSIRO. He once served as the industry chair for ICSOC 2018, and obtained the “Outstanding Service Award” for his great devotion to the program of this conference. He was in the committees of over 5 international conferences (e.g. CloudCom 2020). Dr. Fu has over 35 publications in top international conferences, journals and book chapters, including DSN, ICSE, ICSOC, SPE and TDSC, etc. Dr. Fu has totally 5 years’ research experience and 6 years’ industry experience. His research interests include: big data analytics, data mining, machine learning, cloud computing, cyber security and software engineering.
Panelist:	Seongwoon Kim, Hyundai MN Soft Dr. Seongwoon Kim is CTO and head of research center in Hyundai MNSoft which is a subsidiary company of Hyundai Motors Group. Among many accomplishments, it is worth noting his current leadership in the development of high definition maps for automated driving vehicles. He successfully applied intelligent pattern recognition technologies building High Definition Maps at the commercial level. Prior to joining Hyundai MNSoft, he was a vice president and head of software development group at Imaging Business in Samsung Electronics. He is a proven innovator with more than 25 years of experience in the field of Computer Science, specializing in image processing using computational intelligence. Moreover, Dr. Kim has been a prolific contributor to the intellectual community, reflected in more than 30 scientific papers and patents with over 500 citations, and participation in the global organization and Program Committee in multiple events in the area of intelligent signal processing. Dr. Kim holds a Ph.D. in Computer Science from the University of Illinois at Chicago.
Panelist:	Wei Lu, K2Data Dr. Wei Lu is founder and CEO of K2Data, a technology company focusing on using big data and AI to help industrial companies in their digital transformation journey. Customers of K2Data include leading industrial companies in China, such as GoldWind, State Grid, Petro China, SDLG, PAN Steel. K2Data was named "Technology Pioneer" by World Economy Forum in 2020. Before founding K2Data, Dr. Lu was a technology executive responsible for the middleware and cloud technologies research in IBM Research - China, with a focus on cloud service for data driven solutions.
Panelist:	Qiang Qu, Huawei Cloud Blockchain Lab Dr. Qiang Qu is the director of Huawei Cloud Blockchain Lab, a professor and the director of Guangdong Provincial R&D Center of Blockchain and Distributed IoT Security at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He received his Ph.D. at Aarhus University. His current research interests are in data-intensive systems, focusing on efficient and scalable algorithm design, blockchain, and data sense-making.
Panelist:	Wei Sun, Volkswagen Group Dr. Wei Sun is now leading the research and development of smart mobility technologies and offerings empowered by electric vehicle, autonomous driving and AI technologies in Volkswagen Group China. Dr. Sun used to be Research technical executive of IBM Research – China leading Internet of Things research initiative across IBM global research labs. In recent years, Dr. Sun has been driving research projects in the areas of asset management, connected vehicle, transportation research, smarter city, connected vehicle services through partnership with partners and clients in selected industries. Dr. Sun was a member of IBM Academy of Technology, and he was also a member of IBM Academy Leadership Team.
Panelist:	Haris Volos, DENSO Silicon Valley Innovation Center Dr. Haris Volos is currently a Senior Research Engineer at DENSO’s Silicon Valley Innovation Center in San Jose, USA. His focus is big data and edge computing applications based on driving data which include data collection, analysis, algorithm and application development. Dr. Volos previously had research faculty positions at the University of Arizona and Virginia Tech where he worked on machine learning techniques for wireless communications. Dr. Volos received his Ph.D. in Electrical Engineering from Virginia Tech in 2010. He is the co-author of at least 40 peer reviewed publications (most of them IEEE), holds 6 patents, and received several paper and research awards.
Panelist:	Qianwen Zhou, LIZHI Inc. Ms. Qianwen Zhou is a senior AI manager from LIZHI Inc. She holds both a B.F.A in Art History and a B.B.M in Business Management from Tsinghua University (THU). Ms. Qianwen Zhou is an expert in big data and AI applications. She has many years’ experience on how big data and AI techniques can be applied in industries, such as Internet of Vehicles (IoV) and recommender systems. Her research areas include big data analytics, machine learning and artificial intelligence, and her work focuses on how AI applications can improve daily life and how to make proper product design for AI applications.

Thurs 10/22 13:00 - 14:20 China time: 21:00 - 22:20	Industry Symposium Session 3 Session Chair: Mengwei Xu Beijing University of Posts & Telecommunications	Talk 1: Enabling Scalable and Secured Data Analytics for Blockchain Service Qiang Qu, Research Director, Huawei Dr. Qiang Qu is the director of Huawei Cloud Blockchain Lab, a professor and the director of Guangdong Provincial R&D Center of Blockchain and Distributed IoT Security at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He received his Ph.D. at Aarhus University. His current research interests are in data-intensive systems, focusing on efficient and scalable algorithm design, blockchain, and data sense-making.
		Talk 2: Application of Deep Reinforcement Learning in Control Optimization of Thermal Power Plants Xianyuan Zhan, Data Scientist & Senior Researcher, JD Digits & JD Intelligent Cities Research Dr. Xianyuan Zhan is a data scientist at JD Digits, he is also a senior researcher at JD Intelligent City Research. Dr. Zhan currently leads the research and development of AI-driven industrial system optimization products at JD iCity. He received a dual master's degree in computer and transportation engineering and a PhD degree in transportation engineering from Purdue University. Before joining JD, Dr. Zhan was a researcher at Microsoft Research Asia. He has published more than 30 papers in key journals and conferences in the field of transportation engineering and computer science. He is also a reviewer for many top transportation and computer science journals and conferences. He is currently a member of China Computer Federation-Artificial intelligence & Pattern Recognition Committee. His main research areas include deep reinforcement learning, urban computing and intelligent transportation systems.
Thurs 10/22 14:40 - 16:00 China time: 22:40 - 24:00	Industry Symposium Session 4 Session Chair: Min Fu, LIZHI Inc.	Talk 1: Accelerate Industrial Digitization with a Cloud-Edge Integrated IoT Platform Leding Li, Chief Architect, Baidu Mr. Leding Li is Principal Architect of Baidu Cloud IoT and also serves as member of Linux Foundation Edge Technical Advisory Council. Mr. Li joined Baidu in 2010, and is responsible for architecture and development of platform focused around Edge computing, 5G and Internet of Things, and the owner of open source edge computing framework called Baetyl. In his previous roles at Baidu, he was the lead architect for Baidu Open Search, and has worked extensively on the SOA framework of both Spider and Indexer of Baidu Search. Mr. Li was also an early participant in introducing machine learning to web mining.
		Talk 2: Edge Container Service Design in Tencent Cloud Xuan Jia, Research Manager, Tencent Mr. Xuan Jia is a senior manager in Tencent Cloud, and he is also a CNCF ambassador. Mr. Jia is studying for Master’s degree in Automation in Tsinghua University. Mr. Jia has more than 10 years’ working experience in cloud computing and virtualization. He is familiar with 5G core network system and ETSI NFV MEC standardization. Before joining in Tencent company, Mr. Jia worked in China Mobile Institute Company, RedHat and H3C. His previous research work in China Mobile mainly focused on 5G edge computing.