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Introduction

Welcome from the entire organizing team, and we look forward to seeing you soon again in Chengdu.

2021 IEEE the 6th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), held in Chengdu, China, between 24-26 April 2021. Several current and upcoming frontier technologies, innovative solutions, research results, as well as enterprises related to cloud computing and big data analytics and their applications will be presented.

ICCCBDA has been held since 2016, sponsored by IEEE and Chengdu Signal Processing Chapter, and organized by Sichuan Institute of Electronics and Xihua University, co-organized by Southwest Jiaotong University and Sichuan University, China; technically supported by Key Lab of Cloud Computing & Intelligent Technology, Sichuan Province, and Chongqing University of Posts and Telecommunications, etc...

Sponsor Type:5

Committee

ICCCBDA ORGANIZING COMMITTEE

Advisory committee Chairs

Philip S. Yu, University of Illinois at Chicago, USA ( IEEE Fellow)
Rajkumar Buyya, The University of Melbourne, Australia ( IEEE Fellow)

General Conference Chair

Ling Fei, Vice-president, Xihua University, China

Conference Co-chairs

Hai Jin, Huazhong University of Science and Technology, China (IEEE Fellow, CCF Fellow, Changjiang Distinguished Professor)

Guoyin Wang, Vice-president, Chongqing University of Posts and Telecommunications, China
Tianrui Li, Southwest Jiaotong University, China

Steering Committee

En-Bing Lin, Central Michigan University, USA

Technical Program Chair

Mingxing He, Xihua University, China

Technical Program Co-chairs

William Wei Song, Dalarna University, Sweden
Xue Li, The University of Queensland, Australia
Xiangnan Ren, Royal Group, United Arab Emirates

Publication Co-chairs

Dong-Her Shih, National Yunlin University of Science and Technology, Taiwan
Qing Tan, Athabasca University, Canada

Executive Secretary General

Tao Xiang, Secretary-general, Sichuan Institue of Electronics, China

Pulicity Co-chair

Ta-Cheng Chen, National Formosa University, Taiwan

Press Coordinator

Xia Wan, Sichuan Institue of Electronics, China

Senior Technical Advisor

Domenico Talia, University of Calabria, Italy

Local Arrangement Co-chairs

Xun Gong, Southwest Jiaotong University, China
He Xiang, Sichuan Institue of Electronics, China

INTERNATIONAL TECHNICAL COMMITTEES

Ke-Lin Du, Concordia University, Canada
Kewen Li, China University of Petroleum, China
Chao-Lin Liu, National Chengchi University, Taiwan
Massimo Villari, University of Messina, Italy
Shian-Chang Huang, National Changhua University of Education, Taiwan
Ping Lou, Wuhan University of Technology, China
Miroslav Popovic, University of Novi Sad, Serbia
Shin-Yuan Hung, National Chung Cheng University, Taiwan
Yung-Shen Yen, Providence University, Taiwan
Iurii Krak, Taras Shevchenko National University of Kyiv, Ukraine
George Carutasu, Romanian American University, Romania
Zhang Wenyu, Xi'an University of Posts and Telecommunications, China
Xueyan An, China Academy of Launch Vehicle Technology, China
Wei Zhang, College of Computer Science and Engineering, China
Suma. V, Research and Industry Incubation Centre, India
Shin-Yuan Hung, National Chung Cheng University, Taiwan
Shian-Chang Huang, National Changhua University of Education, Taiwan
She Kun, University of Electronic Scinece and Technology China, China
Richard Millham, Durban University of Technology, Durban, South Africa
Qinglong Zhan, Tianjin University of Technology and Education, China
Ping Lou, Wuhan University of Technology, China
Miroslav Popovic, Faculty of Technical Sciences, University of Novi Sad, Serbia
Massimo Villari, University of Messina, Italy
Kwanho You, Sungkyunkwan university, Korea
Ke-Lin Du, Concordia University, Canada
Kamal Boukhetala, University of Science and Technology Houari Boumediene, Algeria
Józef Banaś, Rzeszow Technical University, Poland
Jianqiang Li, Beijing University of Technology, China
Jianjun Yu, Computer Network Information Center Chinese Academy of Sciences,China
H. M. Srivastava, University of Victoria, Canada
Feng Hu, Chongqing University of Posts and Telecommunications,China
Jian Li, Beijing University of Posts and Telecommunications, China
Ilija Basicevic, University of Novi Sad, Serbia
Chuan-Ming Liu, National Taipei University of Technology,Taiwan
Lianbo Ma, Northeastern University, China
Kewen Li, China University of Petroleum, China
Guangrong Li, Nanjing Institute of Technology, China
Feng Gu, College of Staten Island, USA
Passent ElKafrawy, Menofia University, Egypt
Jiaqing Zhang, State Grid Anhui Electric Power Research Institute, China
Hu Zhenlong, College of Textiles, Donghua University, China
Qingzhong Liu, Sam Houston State University, USA
Yungang Zhu, Jilin University, China
Zhengong Cai, Zhejiang University, China
Hu Xin, Air Force Early Warning Academy, China
Ryan Wen Liu, Wuhan University of Technology, China; Chinese Academy of Sciences, China
SK. Saidhbi, University of Gondar, Ethiopia
Aiping Zhou, Taizhou University, China
José R. Villar, University of Oviedo, Spain
Mariusz Trzaska, Polish-Japanese Academy of Information Technology, Poland
Kushnazarov Farruh I, Emperor Alexander I St. Petersburg State Transport University, Russia
Junyan TAN, Hohai University, China
Qingchao Kong, Chinese Academy of Sciences, China
Xuan Guo, University of North Texas, USA
Malka N. Halgamuge, The University of Melbourne, Australia
Kwang Sik Chung, Korea National Open University, Korea
Dickson K.W. Chiu, The University of Hong Kong, China
Chuanhong Zhou, Shanghai University, China
Józef Banaś, Rzeszow Technical University, Poland
Zareena Kausar, Air University, Pakistan
Yong Shi, Kennesaw State University, USA
Kamal Boukhetala, University Of Science And Technology Houari Boumediene, Algeria
Kwanho You, Sungkyunkwan university, Korea
Siegfried Benkner, University of Vienna, Austria
H. M. Srivastava, University of Victoria, Canada
Hu Xin, Air Force Early Warning Academy, China
Michael Opoku Agyeman, University of Northampton, UK
Ali Syed, Charles Stuart University, Australi
Mostafa Ghobaei Arani, Islamic Azad University, Iran
Ashish Kumar Upadhyay, Indian Institute of Technology, India
Jinwei Liu, Clemson University, USA
Souvik Pal, Maulana Abul Kalam Azad University of Technology, India
Teodoro A. Macaraeg Jr., University of Caloocan City (UCC), Philippines
Thakerng Wongsirichot, Prince of Songkla University, Thailand
Muharrem Tuncay GenÇoĞlu, Fırat University, Turkey
Mohsen Amini Salehi, University of Louisiana Lafayette, USA
Al-Masri, University of Washington, USA
Yung-Shen Yen, Providence University, Taiwan
Iurii Krak, Taras Shevchenko National University of Kyiv, Ukraine
Zhang Wenyu, Xi'an University of Posts and Telecommunications, China
Teoh Ai Ping, Universiti Sains Malaysia, Malaysia
Chuan-Ming Liu, National Taipei University of Technology, Taiwan
Meng Qingmin, Nanjing University of Posts and Telecommunications, China
Xiao Nanfeng, South China University of Technoloogy, China
Aiping Zhou, Taizhou University, China
Dickson K.W. Chiu, The University of Hong Kong, China
Qing Zhou, Chongqing University, China
Xueyan An, China Academy of Launch Vehicle Technology, China
Junyan Tan, Hohai University, China
Jingxian Liu, Wuhan University of Technology, China
Guocai Yang, Southwest University, China
Bo Zhang, Nankai University, China
Guangrong Li, Nanjing Institute of Technology, China
Jiaming Zhong, Xiangnan University, China
Jinwei Liu, Florida A&M University, USA
SOUVIK PAL, Global Institute of Management and Technology, India
José R. Villar, University of Oviedo, Spain
Adeesha Wijayasiri, University of Moratuwa, Sri Lanka
Hiroyuki Sato, The University of Tokyo, Japan
Zhen Meng, Chinese Academy of Sciences, China
Shuang Ding, Henan University, China
Feng Gu, College of Staten Island, USA
Mariusz Trzaska, Polish-Japanese Academy of Information Technology, Poland
SK. Saidhbi, University of Gondar, Ethiopia
Qingchao Kong, Chinese Academy of Sciences, China
Yuan Yao, Shanghai University, China
Thakerng Wongsirichot, Prince of Songkla University, Thailand
Qinglong Zhan, Tianjin University of Technology and Education, China
Qingzhong Liu, Sam Houston State University, USA

Call for paper

Special Session 1: Big Data and Deep Learning Applications


Big Data and Deep learning techniques (e.g. neural network (NN), convolutional neural network (CNN), recurrent neural network (RNN), long short-term memory (LSTM) network, gate recurrent unit (GRU) network, etc.) have been popularly applied to data analyses and management. For instance, CNN and auto-encoder can be used to analyze the pattern recognition and extract the features of data in various applications (e.g. regression, classification, image recognition, etc.). Furthermore, the RNN, LSTM network and GRU network can be used to perform the time-series inference for time-series oriented data (e.g. speech data, weather data, transportation data, stock market data, etc.). In the case of transportation, advanced driver assistance systems and autonomous cars have been developed based on the deep learning techniques, which perform the forward collision warning, blind spot monitoring, lane departure warning, traffic sign recognition, traffic safety, infrastructure management and congestion, and so on. However, how to enhance the performance and efficiency of these deep learning techniques is one of the biggest challenges for implementing these real-time applications.
Furthermore, several optimization techniques (e.g. stochastic gradient descent (SGD), adaptive moment estimation (Adam), Nesterov-accelerated adaptive moment estimation (Nadam) algorithms, etc.) have been proposed to support deep learning algorithms for faster solution searching, e.g., the gradient descent method is a popular optimization technique to quickly seek the optimized weight sets and filters of CNN for image recognition. The hybrid approaches typical of mathematics for engineering and computer science such as the deep learning and optimization techniques can be investigated and developed to support a variety of data analyses and management.

Submission Topics

This special session named “Big Data and Deep Learning Applications” in ICCCBDA 2021 will solicit papers on various disciplines, including but not limited to:

  • Big data and deep learning for Internet of things
  • Big data and deep learning for fog computing
  • Big data and deep learning for cloud computing
  • Big data and deep learning for semantic web of things
  • Big data and deep learning for security
  • Big data and deep learning for agronomy
  • Big data and deep learning for industry
  • Big data and deep learning for transportation
  • Big data and deep learning for biomedical informatics
  • Big data and deep learning for healthcare
  • Big data and deep learning for medical imaging
  • Big data and deep learning for management
  • Big data and deep learning for the applications of multimedia streaming
  • Big data and deep learning for education
  • Optimization for big data and deep learning
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Important Date
  • Conference Date

    Apr 24

    2021

    to

    Apr 26

    2021

Sponsored By
IEEE
Chengdu Signal Processing Chapter
Supported By
Sichuan Institute of Electronics
Xihua University
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