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   Position£ºHome Page-- Conference Technical Programs

Technical Programs

Sept. 24, 2017, International Workshop on Data Engineering Application & Educaiton

Keynote talks:

Dr. Srinivas Padmanabhuni, Chief Mentor, Tarah Technologies
Lecture topic: Artificial Intelligence: Emerging Opportunities, Threats and business implications

Dr.Srinivas Padmanabhuni is the President of ACM India. Prior to co-founding Tarah Technologies, he was Associate Vice President heading research at Infosys till OcL 2015. He has rich experience of more than 15 years in IT Industry. He has given 100 plus expert invited talks across universities in US, China, Australia, Canada, Singapore, UK and India including ivy league universities like CMU, Purdue, RUC etc. He is a prolific, astute researcher who craves for new challenges. He has seven granted patents, 15 filed patents, one published book by Wiley, one book in process, several book chapters, 70 plus refereed journal and conference papers, to his credit in addition to marquee invited talks and editorial positions. He obtained a doctorate degree in Artificial Intelligence from University of Alberta, Edmonton, Canada. Prior to Ph.D. he secured his B. Tech and M. Tech in computer science from premier institutes in India Indian Institute of Technology (IIT), Kanpur and IIT£¬Mumbai respectively

Dr. Salim Roukos, Chief Technology Officer (CTO)
Lecture topic: Recent Successes in Natural Language Processing with Deep Learning Methods

Dr. Salim Roukos leads technically project in Translation Technologies at the IBM Watson Research Center in New York. Dr. Roukos received his B.E. from the American University of Beirut in 1976, his M.Sc. and Ph.D. from the University of Florida in 1978 and 1980, respectively, all in Electrical Engineering. He joined Bolt Beranek and Newman from 1980 through 1989, where he was a Senior Scientist in charge of projects in speech compression, speaker identification, and spoken language understanding. He was an Adjunct Professor at Boston University in 1988 before joining IBM in 1989. Dr. Roukos has served as Chair of the IEEE Digital Signal Processing Committee in 1988.

Salim Roukos currently leads a group of scientists at IBM T.J. Watson research Center that focus on using machine learning techniques for natural language processing. The group pioneered new statistical methods for natural language understanding, statistical machine translation, and machine translation evaluation metrics (BLEU metric). Roukos lead the group that introduced the first commercial statistical language understanding system for conversational telephony systems (IBM ViaVoice Telephony) in 2000 and the first statistical machine translation product for Arabic-English translation in 2003. He has recently lead the effort to create ¾ÉM's offering of Real-Time Translation Services (RTTS) platform for enabling real-time translation applications in 30 language-pairs for multilingual chat and on-demand document translation. He is currently leading the effort to develop a multilingual Watson system, a question-answering system that won Jeopardy in 2011. Roukos has over 150 publications and over two dozen patents in the speech and language areas.

Dr. Shuguang Pan, Chief physician, Doctoral supervisor,
Lecture topic: Application and thinking of medical big data

Dr. Shuguang Pan has MD/PhD degree and he is a, chief physician, doctoral supervisor, leader of emergency medicine, associ­ate director of Xinhua hospital affiliated to Shanghai Jiao Tong University, school of medical. He is a committee member and secretary of the emergency branch of the Chinese medical association and deputy head of the recovery group of the branch, member of emergency branch of the Chinese Medical Doctor Association. He is also the director of the clinical quality control center of Shanghai for medical hyperbaric oxygen, vice chairman of the emergency medicine of the Shanghai medical associa­tion, and the editor member of the journal of emergency medicine. He has been honored as an advanced worker in both national and Shanghai health system and received a "silver snake" award of Shanghai health system. He published more than 70 peer-reviewed papers.

Dr. X. Sean Wang, Professor and Dean at the School of Compute Science, Fudan University
Lecture topic: Exploratory Big Data Analytics

X. Sean Wang is Professor and Dean at the School of Compute Science, Fudan University, Shanghai, China. He received his PhD degree in Computer Science from the University of Southern California, Los Angeles, California, USA, in 1992. Before joining Fudan University in 2011, he was the Dorothean Chair Professor in Computer Science at the University of Vermont, Burlington, Vermont, USA, and between 2009-2011, he served as a Program Director at the National Science Foundation, USA, in the Division of Information and Intelligent Systems. He has published widely in the general area of databases and information security, and was a recipient of the US National Science Foundation Research Initiation and CAREER awards. His research interests include database systems, information security, data mining, and sensor data processing. In the research community, he served as the general chair of IEEE ICDE 2011 held in Washington DC and ACM CIKM2014 in Shanghai, China, and in various other roles at international conferences and journals. He’s a current associate editor of Geoinformatica and WWW journal, and past associate editor of TKDE and KAIS. He is also a current member of the ICDE Steering Committee, and past Chair of WAIM Steering Committee.

Dr. Foad Marzoughi, PhD
Lecture topic: Architecture of Navigational Support System

Foad Marzoughi has completed a Bachelor of Statistics (Bsc) at the University of Tehran Markaz, a master degree in IT Management at the Universiti Teknology Malaysia (UTM), and a PhD from the University of Auckland (which is the highest ranked New Zealand University in the main world university rankings). The University of Auckland awarded him a full doctoral scholarship. He has published extensively in the area of decision support systems, performance measurement systems, control, and automation. Foad has authored academic papers, including publications in the Journal of Automation in Construction (A* Journal in ABCD ranking). Foad has developed a novel decision support system called “Navigational Support System” as a generic engine to monitor and control project performance. He is the leader of IT department at Otago Polytechnic Auckland International Campus (OPAIC). He supervised more than 10 IT projects such as developing an educational platform for an Australian Institute, a framework to estimate the duration of construction projects with respect to weather risks, and annotation of XML documents with ontological concepts.

Dr. Jun Ni, PhD
Lecture topic: The role of intelligent mobile devices in elderly health care information system

Dr. Jun Ni received his PhD in Mechanical Engineering from The University of Iowa (UI) in 1991. He had two-year postdoc research experiences in UI and Purdue University respec­tively. After 1994, Dr. Jun Ni worked as a Senior Computing Consultant, Computational Scientist and an adjunct faculty in mechanical engineering and computer science at UI. In 2007, He joined the Department of Radiology of Carver College of Medicine at UI as an Associate Professor in radiology informatics and high performance computing in medical imaging at the University of Iowa. He was PI of many USA-based research projects sponsored by NSF, NIH, Intel, Microsoft et al. He is currently appointed as a chair professor and the director of IBM-joint Big Data Research Lab in Shanghai Sanda University. Dr. Jun Ni published 150 peer-reviewed scientific papers in many journals and conference proceedings, including the fields of high performance computing, medical imaging, medical informatics and healthcare.

Mr. Rangarajan Vellamore
Lecture topic: Changing Trends in Technology Eco-System in SMAC Era

Ranga Vellamore is seasoned professional with deep experience in technology services industry. After two decades of successful career in Infosys, he and Sujit Chatteriee (Ex-President of Tata Consultancy Services) have co-founded Zeta-V in July 20l7. The sole purpose of Zeta-V is to relentlessly focus on multiplying business value to the client in leveraging technology in this new era of digital and AI. Till June 2017, Ranga Vellamore was Chief Executive Officer for Infosys China. He served in this role for 7 years and has been in leadership roles of Infosys China for ten years.
He has 27 years of experience in Information Technology. He has worked extensively in US, Australia and Greater China markets in various roles. He performed leading roles in client management, delivery in technology outsourcing and consulting business. His key interests are in motivating and developing high performing team. During his ten year tenure in China, he has created strong local team to build strategic relationship with Chinese conglomerates. This resulted in strong growth and differentiation for Chinese companies going global. Under his leadership Infosys China has expanded its business and operations across 7 cities in China and has developed large relationship with large Chinese corporations reaching about 4800 Technology professionals across China. Some of the other achievements include: He received "2014 Shanghai Magnolia Gold Award", which is a highest honor given to Foreign Nationals for their outstanding contribution. He also received "2011 Shanghai Magnolia Silver Award" for contribution to economic development in Shanghai Municipal City. He was recognized for his outstanding contribution to Software outsourcing industry by China outsourcing summit during 2013 and 2014. He was nominated in the fifty China Foreign Experts in Shanghai and met up with the Chinese President Xi Jin Pin during CICA in May 2014. He has Bachelor of Technology degree from Indian Institute of Technology, Kanpur. Prior to Infosys, he worked in large corporations in India and in Indian Civil Service.

Mr. Yin Dong
Lecture topic: the application of big data in finance

At De La Salle University, He obtained Master of Business Administration School of software in Fudan University, a senior researcher at financial IT talents standards research center. He is mainly engaged in the research work of talents cultivation, setting up talents standards system of financial IT. He is responsible for the investigating, editing and publishing work of financial IT talents research reports. He is responsible for the service work for the committee of financial IT talents standards research center. He is responsible for holding financial IT (FIT) talents standards series meetings, financial IT talent assessment (FITA) system meetings. He commits himself to financial IT talents cultivation in line with market needs.

Dr. Peng Wang, PhD
Lecture topic: Food safety cloud: the exploration and practice of big data in the field of food

Dr. Peng Wang is currently CEO & CTO of the Food Safety and Nutrition Information Technology Ltd. He is also the chief scientist of Beihua Big Data Research Center and visiting professor of Guizhou Academy of sciences. He has worked as a research and develop­ment director in Intel, and Microsoft in the United States for nearly 20 years. He has rich experience in R & D, product development and team management. Peng has been working in cloud computing, big data, mobile applications, large test system research for many years and achieved remarkable success. Peng also led the team successful­ly completed of several national and provincial level research projects. In 2013, Peng led the effort in building Food Safety Cloud (FSC), one of the key big data project in Guizhou Province. FSC has been incorporated into the national food safety innovation project and has been selected as "China" Internet plus "action 100 practice" by the national development and Reform Commission.

Mr. Mikko Himanka
Lecture topicr: Education and research as BEST FRIENDS - Some practices and learned lessons in European context

Mr. Mikko Himanka has studied computer science and education in university of Oulu, receiving M.Ed. degree in 1994. After 5 years working in education and IT coordination in the public sector, he started as a Senior Lecturer with the faculty of Media Technology, Centria University of Applied sciences, Ylivieska, Finland, in 2000. He shifted more to the research and development projects in 2011, and currently he works as project manager with the Centria Research and Development. He has been involved in several European and national projects related to wireless communi­cation and building energy optimization. His special interest and researching areas are application of IT and industrial internet and human-computer interaction.

Dr. Ying Chen, PhD
Lecture topic: Exploration and practice of data engineering in Sanda University

Dr. Ying Chen, is a professor and the Dean of Information Science and Technology School.
Education: Science Bachelor, Medical Master, Engineering Doctor. Visiting Associate Professor to Stanford University. She won funds from Ministry of Education of China, and from FokYingTung Education Foundation, and honored as the third prize of national young teachers. She is a director of National University Big Data Education Alliance, and an editor of Educa­tion degree and Graduate Education Development Center, and a peer reviewer of Acta Electronica Sinica and China's scientific and technical papers online. She presided 3 projects of Shanghai “Municipal Board of Education Research Project” and participated 8 projects of 973, “The National Natural Science Fund Project” and “Municipal Board of Education Research Project”. She participated in "Data China 100 school project” under the auspices of the Ministry of Education. She presided or participated in Government Supported Fund Projects of Shanghai municipal board of education. She published over 40 papers, including 22 papers indexed in SCI and EI index services. She is the corresponding author of 16 papers. She participated in 5 textbook editing.

Sept. 25

Paper Presentations

Paper Oral Presentation, Sept. 25 2017

Session 1: Informatics and Information Systems

Evaluation of Operational Efficiency of Workload Based Vessel Information Control System
        Zhengxian Wei, Min Song, Hongbin Wang, Bo Li, Yingqi Wang
A Simulation Architecture Design of Spatial Information Cyberspace System
        Hongsheng Wang, Chongdao Wang, Hao Qun
Improvement of Flexibility and Elasticity in Kubernetes-enhanced Docker Container
        Xin Guo and Jun NI
Web Front-end Framework Construction Based on MVC Model
        Qing Shi
Risk Assessment Model for Cross-border E-commerce Platform
        Can-can Dou
Core Element Design of Internet Software Product in User Experience Perspective
        Renying Zhao, Jun Ni
Big Data Based Commercial Ecological System and Its Construction Strategy
        Jia Yu, Zhiqiang Zhu
IS Success for SMEs: An Improvement of Entrepreneur Sales through IS Deliverables
        Guodong Piao

Session 2: Data Acquisition, Processing, Analysis, and Mining

Parallel Optimization Algorithm Based on Association Rules
        Daming Pei, Jianfeng Wang, Hongbin Wang, Yang Song, Chhang Chandaravuth
Strategies of Supply Chain Finance Countered Buyback Risks under Buyback Contract
        Qun Chen and Tian-tian Yuan
Harmonic Field Theory based Weight Functions for Electromagnetic Flow Metrics
        Xuejing Li
An Architecture Design of a Configurable 3D Vision Simulation System
        Zhang Heng, Liu Jia, He Man, Yinan Cui
A Personalized Privacy Protection Method for Clustering Mining
        Dong Xu, Ziying Zhang, Mengmeng Zhang, Yulong Meng, Shaopei Ji, Xian Li, and Siyuan Gong
Survey of Big Data Engineering
        Xuejing Li
Analysis and Research of Sales Data Visualization
        Danjue Zhang, Ping Dong, Xijing Hu
Data Analysis of ADLS Trainee Feedback Mechanism
        Xiaotong Liu, Xunyi Lu, Lang Ma, Lujia Tang, Ying Chen
Generalized and Automatic Workflow with Real-time Judgment in Equipment Test and Control Software System
        Houbin Chu, Liye Zhang, Guo Jing, Changwei Jia, Changqin Wang, Jianzhong Li

Session 3: Information Networks and Data Communication

User Ranking in Microblogging Network
        Hongbin Wang, Guisheng Yin, Lianke Zhou, Yue Fu
Design and Implementation for Wireless Secure Communication System Based on VPX Architecture
        Qian Wang, Zhe Li, Yun Xia, Jianwen Cao
Linear Frequency Modulation Interference Suppression in DFH Systems
        Zhe Li and Yusheng Yang
Integrated Anti-Jamming Communication Technology Based on Cognitive Radio
        Xiao Li, Zhe Li, Hua Wang
An Abnormal Intrusion Detection Model Based on Sub-graph Mining
        Dong Xu, Lingling Zhang, Yulong Meng, and Ziying Zhang
Performance Analysis of Solution for Common Problems in Storage Area Network
        Xuna Zhang and Tiantian Yuan

Session 4: Knowledge Discovery and Decision Making

Customer Reviews Classification Based on Fuzzy Cognitive Maps
        Tian-tian Yuan, Xuan Zhang and Qun Chen
Knowledge-based Collaborative Design Method
        Liwei Wang, Hongsheng Wang, Yanjing Wang, Daqing Guo, Xiaolu Wang

Session 5: Artificial Intelligent and Applications

Compare Analysis of Swarm Intelligence Algorithm Based on Vehicle System Design
        Yuancheng Chi, Feihua Cai, Changwei Jia, Hongsheng Wang, Changqing Wang
Modeling Analysis of Intelligent Manufacturing System Based on Software Defined Networks
        Yun Bai, Guochu Shou, Yihong Hu, Zhigang Guo
A Software Reliability Prediction Algorithm Based on MHPSO-LSTM Network
        Dong Xu, Shaopei Ji, Yulong Meng, Ziying Zhang and Guangsheng Feng
A Software Reliability Prediction Model Based on Deep CG - LSTM Neural Network
        Dong Xu, Lei Wang, Yulong Meng, and Ziying Zhang
Autonomous Stratification Algorithm Based on S-MAXQ
        Dong Xu, Ziying Zhang, Mengmeng Zhang, Yulong Meng

Session 6: Computational Science and Engineering

Chip and Implementation of Real-time Middleware Based on VMIC
     Changwei Jia, Ning Yan, Yuancheng Chi, Xiaolu Wang, Changqing Wang
Design of Single Chip Microcomputer Display Module Based on Proteus
     Lijun Wang
Hardware Design and Implementation of Multi-rate CIC Decimation Filter based on FPGA
     Li-bo Li and Qun Chen
A Hybrid Algorithm Bi-objective Pipelined Scheduling without Transfer Delay
        Min Liu
Key Technologies of Developing WeChat Official Account Based on C#
        Zhaoyang Han and Zhenguo Zhao
Data Processing of Cosmic Shear in CFHTLS Deep
        Jing Xu and Jun Ni
Object Tracking Based On Particle Filtering
        Xin Gu, Zhi Ting Fei, Wu Xing Fei, Jun Ni
Image-based Intelligent Monitoring of Elevator Overload Capacity Using A Modified Computer Vision Algorithm
        Zaiying Liu, Ping Yang, Lixiao Zhang

Session 7: Education and Training in Informatics and Computing

ERP Curriculum Study and Course Deployment in Big Data Environment
        Xuan Zhang
Discussion on the Practical Teaching Mode of “Modern Educational Technology Application” Course
        Li Lin, Jun Ni
Exploring the Construction of Micro-Course Curriculum in U-Learning Environment
        Li Lin, Jun Ni
Exploring the Reform of Database Course Experiment under the Background of Big Data
        Minghuan Zhang and Ying Chen
Curriculum System of Mechatronics Technology Talents Training in Vocational Colleges
        Guirong Wang
SDMCS: A Multimedia Corpus System for Language Teaching
        Zhaoyang Han and Zhenguo Zhao
New Consideration of Course Curriculum for Business Data Analysis Specialty in E-Commerce Major Undergraduate Program
        Zhiqiang Zhu, Jia Yu
Data Analysis of College and University Distribution in Western China under "the Belt and Road" Environment
        Guirong Wang