Conference Program (download pdf)

Dec. 26− 29, 2023 at Stockton, California ,USA

Conference Schedule Overview

Note:  Conference Venue:  Stockton, California  Online (Zoom)  +   Zhejiang University of Water Resources and Electric Power, Hangzhou (Online + offline)

Join Zoom Meeting
https://pacific.zoom.us/j/92140382274
Meeting ID: 921 4038 2274

Steering Committee chair

Prof. IEEE Fellow Laurence T. Yang (St Francis Xavier University, Canada)

General co-chairs

Prof. Jinzhu Gao, University of the Pacific , USA
Prof. Jun Wang, Zhejiang University of Water Resources and Electric Power , China
Prof. IEEE Senior Member Junwei Cao , Tsinghua University, China
Dr. Zhiming Zhao , University of Amsterdam, NL
Prof. Maozhen Li, Brunel University, UK
Prof. Emeritus Lican Huang

Program co-chairs

Prof. Haochen Hua , Hohai University, China

Prof. Kejiang Ye , Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS) ，China

Sponsors

Zhejiang University of Water Resources and Electric Power

Technical Sponsors

University of the Pacific 

Tsinghua University
University of Amsterdam

Industrial sponsors

Research Institute of Information Technology , HDZT

Program Committee

Pavan Balaji （Argonne National Laboratory, USA)

Sanjay Bansal (Acropolis Institute of Technology & Research, India)

Nik Bessis (Edge Hill University, UK)

Rajkumar Buyya (University of Melbourne, Australia)

John Brooke (University of Manchester, UK)

Wentong Cai (Nanyang Technological University, Singapore)

Leandro Nunes de Castro (Mackenzie Presbyterian University, Brazil)

Jie Cao (Nanjing University of Information Science & Technology, China)

Huimin Chen (University of New Orleans, USA)

Gang Chen (Chinese Academy of Science, China)

Giuseppe Ciaccio (Universita’ di Genova, Italy)

Zhen Chen （Tsinghua University， China）

Philippe Cudre-Mauroux(Massachusetts Institute of Technology, USA)

Zhihui Du (Tsinghua University, China)

Georgios Exarchakos (TUE, Netherlands)

Alex Hardisty (Cardiff University, UK)

Haiwu He (INRIA, France)

Shaoyi He(California State University at San Marcos, USA)

Doan Hoang (University of Technology, Sydney , Australia)

Shu Gao (Wuhan University of Technology, China)

Weidong Geng ( Zhejiang University,China)

Xiaohui Gu ( North Carolina State Unversity , USA)

Stephen A. Jarvis （University of Warwick, UK）

Jinyuan Jia (Tongji University, China)

Keyuan Jiang (Purdue calmet University , USA)

Darren J. Kerbyson （Pacific Northwest National Laboratory, USA）

Tae-Hoon Kim （Purdue calmet University , USA)

Gang Kou (University of Electronic Science and Technology of China, China）

Kin Keung Lai (City University of Hong Kong , China)

Der-Chyuan Lou (Chang Gung University, Taiwan)

Fanchang Li ( Suzhou University, China)

Jianhui Li （ CAS, China）

Jianping Li (Chinese Academy of Sciences, China)

jianqiang li (Beijing University of Technology , China)

Weiping Li (Peking University, China)

Xiu Li (Tsinghua University , China)

Yang Li (hangzhou Normal Univerisity)

Xiaolin (Andy) Li (Oklahoma State University, USA)

Yuetong Lin (Indiana State University , USA)

Ronghua Liu (Tsinghua University, China)

Yong Liu （ Zhejiang University,China）

Keping Long (University of Electronic Science and Technology of China, China)

Jian Ma ( Wuxi Smart Sensing Stars, China)

Kai Nan (Chinese Academy of Sciences, China)

Gang Pan (Zhejiang University, China)

Dr. T. Abdul Razak (Jamal Mohamed College , India)

Subramanian Selvakumar (National Institute Of Technology Tiruchirappalli, India)

Jim Sluss (The University of Oklahoma, USA)

Yingwen Song (National Institute of Advanced Industrial Science and Technology, Japan)

Yang Song ( IBM , USA)

Ian. J. Taylor （Cardiff University, UK）

Mehmet Ulema (Manhattan College, USA)

Ravi Venkatesan (Systems Research Corporation, India)

Cho-Li Wang (Univ. of Hong Kong, Hong Kong)

Hecheng Wang(Hangzhou Diazhi University, China)

Jue Wang (Chinese Academy of Sciences, China)

Xiaodong Wang (STFC, Daresbury Laboratory, UK)

Fenghua Wen (Changsha University of Science and Technology, China)

Fatos Xhafa (UPC Barcelona, Spain)

Qin Xin (University of the Faroe Islands, Faroe Islands)

Mingwei Xu (Tsinghua University, China)

Dong Xuan (The Ohio State University , USA)

Laurence T. Yang （ St Francis Xavier University, Canada）

Guoqing Yang (Zhejiang University, China)

Xiuzi Ye (SolidWorks, USA)

Fan Zhang (Massachusette Institute of Technology, USA )

Jia Zhang (Carnegie Mellon University – Silicon Valley, USA)

Xingjun Zhang (Xi’an Jiaotong University , China)

Zuohua Zhang ( Amazon, USA)

Qianchuan Zhao (Tsinghua University , China)

Zhiming Zhao (University of Amsterdam, Netherlands)

Zengwei Zheng(Zhejiang University City College, China)

Chengxiong Zhou (Chinese Academy of Sciences, China)

Ligang Zhou (City University of Hong Kong, Hong Kong)

Yuanchun Zhou (Chinese Academy of Sciences, China)

Jinlou Zhao (Harbin Engineering University, China)

Xuezhong Zhou (Beijing Jiaotong University, China)

Yuanyuan Zhou (University of California at San Diego, USA)

Hongbo Zhu (Nanjing University of Posts and Telecommunications, China)

Dec.  26 ,  2023

16:30-17:00(California) ,  8:30-9:00(dec.27 Bejing)

Opening Session

Speech of  Conference commitee

Speech of  Leader of Zhejiang University of Water Resources and Electric Power

17:00-17:50(California) 9:00-9:50(dec.27 Bejing)

Keynote Speech 1

AI in Healthcare Data Analytics

Jinzhu Gao, Ph.D. Professor of Computer Science University of the Pacific

The recent advance in Artificial Intelligence allows us to quickly develop easily accessible and intelligent solutions for healthcare data analytics. In this talk, Dr. Gao will go through some of her work in the field of data analytics. This will include her previous work on distributed data analytics, virtual reality for data analysis, as well as her ongoing efforts in managing and analyzing medical and healthcare data using AI technology.

Short Bio:

Dr. Jinzhu Gao received a Ph.D. degree in Computer Science from The Ohio State University in 2004. From June 2004 to August 2008, she worked at the Oak Ridge National Laboratory as a research associate and then the University of Minnesota, Morris, as an Assistant Professor of Computer Science. She joined the University of the Pacific (Pacific) in 2008 and is currently a Professor of Computer Science there. Her main research focus is on intelligent data analytics and innovative computer science education. Over the past sixteen years, Dr. Gao has been working closely with educators, researchers, application scientists and Silicon Valley technology companies to develop online data visual analytics and deep learning platforms to support collaborative science and education, mobile health, IoT data analytics, business operational visibility, and visual predicative analysis for industries. Her work has been published in top journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Computers, and IEEE Computer Graphics and Applications.

17:50-18:10(California) 9:50-10:10(dec.27 Bejing)

Break

18:10-19:00(California) 10:10-11:00(dec.27Bejing)

Keynote Speech 2

Prof. Ren Yongjian ,  Associate Professor Qiuzhen Yan

Short Bio:

Ren Yongjian, male, born in 1963, second-level professor, doctoral supervisor, selected as "National Distinguished Expert" by the State Council, national "Thousand Talents Program", Director of Cloud Technology Research Center, School of Computer Science, Hangzhou Dianzi University, Zhejiang Overseas High-level Talents Association Vice president, president of the Electronic Information Branch, member of Hangzhou Municipal Association, and executive vice president of Hangzhou Returnees Entrepreneurship Promotion Association. President of Hangzhou Xinhe Data Technology Co., Ltd. Research fields: cloud storage technology, data continuous data protection technology, storage virtualization technology, massive data processing technology, cloud computing technology, data disaster recovery technology, data high availability technology, etc. In the field of cloud storage and cloud computing, it has completed more than 10 national support programs, key national defense pre-research projects, the National Natural Science Foundation of China, and provincial and municipal scientific research projects. It has won two Zhejiang Science Progress Awards and one Zhejiang University Scientific Research Achievement Award. Published He has published dozens of high-level papers and obtained 9 national invention patent authorizations.

speech title:  Research progress and application of adaptive iterative learning control

Qiuzhen Yan, Ph.D., Associate Professor of Zhejiang University of Water Resources and Electric Power. Dr. Yan received his Ph.D. degree in Control Theory and Control Engineering from the School of Information Engineering form Zhejiang University of Technology in July 2015. He also is a Senior Member of the Chinese Society of Automation, and Member of CCF. He was invited reviewer for domestic and foreign journals such as the Journal of Automation, Control Theory and Applications, Journal of Zhejiang University, Control and Decision Making, International Journal of Systems Science, and IEEE Access. At present, he mainly engaged in research on adaptive iterative learning control for complex nonlinear systems under arbitrary initial states, adaptive repetitive control for multi period systems, and adaptive control methods for gas driven systems. In recent years, more than 30 SCI/EI papers have been published in top domestic and international journals such as the Journal of Automation, Control Theory and Applications.

19:00-19:50(California) 11:00-11:50(dec.27Bejing)

Keynote Speech 3

Reconstruction of Unfolding Sub-Events From Social Media Posts

Prof. Liu Jianguo

Short Bio:

Liu Jianguo, chair professor and doctoral supervisor at Shanghai University of Finance and Economics. Winner of the Youth Science and Technology Award of the Chinese Systems Engineering Society. Distinguished Professor of Shanghai Oriental Scholars, Shanghai Shuguang Scholar. He was a Research Fellow at Said Business School, University of Oxford, and a Fellow and James Martin School Research Fellow at Green Templeton College, University of Oxford. His main research areas are social big data, knowledge management and business intelligence. He has been published in "Proceedings of the National Academy of Sciences", "Computers in Human Behaviors", "Information Systems Frontiers", "Natural Science Advances" and other academic journals have published more than 100 SCI/SSCI papers, with SCI/SSCI citations of more than 2,500 times and an H-index of 26. The research results won the Youth Science and Technology Award of the China Systems Engineering Society, the Second Prize of the Natural Science Award of the China Computer Society, etc.

19:50-21:30(California) 11:50-13:30(dec.27Bejing)

Rest

21:30-23:20(California)  13:30-15:20(dec.27Bejing)

Parallel Session

21:30-21:55(California)  13:30-13:55(dec.27Bejing)

David Camppbell  Responsible AI: Structuring Mindful Innovation

21:55-22:20(California)  13:55-14:20(dec.27Bejing)

Vinamra Singh    Augmented Reality on Mobile Browsers with WebGL

22:20-22:45(California)  14:20-14:45(dec.27Bejing)

Vinamra Singh    Product Review Classification from Twitter Data using Semisupervised Learning

22:45-23:10(California)  14:45-15:10(dec.27Bejing)

Aryyama Kumar Jana and Srija Saha  Enhanced Time Series Prediction of Stock Markets using Machine  Learning

23:20-0:10(California)  15:20-16:10(dec.27Bejing)

Dr. Zhiming Zhao

Short Bio: 

Zhiming Zhao is an associate professor in the System and Network Engineering ( SNE) group at University of Amsterdam ( UvA). He obtained his bachelor's and master's degrees in Computer Science from Nanjing Normal University ( NJNU) and East China Normal University ( ECNU) in 1993 and 1996 in China, respectively. He obtained his PhD in Computer Science from University of Amsterdam (UvA) in 2004. He is strongly interested in advanced computing and network technologies, time-critical and data-intensive systems, Cloud computing, scientific workflows and software agents. He coordinated the project SWITCH (Software Workbench for interactive time-critical and highly self-adaptive cloud applications). I led the Data for Science theme in the environmental science cluster project ENVRIplus and the technical development work package in its follow-up project ENVRI-FAIR. He also lead the UvA effort in ARTICONF, CLARIFY, BLUECLOUD, and VRE4EIC projects. I am also the technical manager of the LifeWatch ERIC Virtual Lab & Innovation Centre (VLIC) in Amsterdam.

0:10-1:30(dec.27California) 16:10-17:30(dec.27Bejing)

Parallel Session

0:10-0:35(dec.27California) 16:10-16:35(dec.27Bejing)

Yang Li ,Huang Qiang Jiang Semantic Draw Engineering for Text-to-Image Creation

0:35-1:00(dec.27California) 16:35-17:00(dec.27Bejing)

Xiang Chen, Shoushan Luo  Exploration of a new model for cultivating innovative talents in universities  under the background of  “new engineering & artificial intelligence”

1:00-1:25(dec.27California) 17:00-17:25(dec.27Bejing)

Wenzheng Zhang , Jihui Shi Research on Interpretable Machine Learning Portfolio Based on Multi-factor Clustering

Dec.  27 ,  2023

17:00-21:00(California)  9:00-13:00(dec. 28Bejing)

Tutorial

Dec.  28 ,  2023

17:00-21:00(California)  9:00-13:00(dec.29 Bejing)

Tutorial

Dec.  29 ,  2023

17:00-21:00(California)  9:00-13:00(dec.30 Bejing)

Tutorial