Notice:

Each paper will be double-blindly reviewed by at least three reviewers; this is an requirement as ICNISC is a “Refereed Conference”. Please adhere to this requirement when you prepare for your paper. Double-blindly means that the author of a paper does not know the reviewers of his/her paper and reviewers do not know the authors of the papers they reviewed.
1. ICNISC 2015 has been indexed by IEEE Xplore, EI and CPCI. ISBN: 978-1-4799-1842-3. ICNISC2015 Table of Contents
2. ICNISC 2016 has been indexed by IEEE Xplore, EI and CPCI. ISBN: 978-1-4673-8838-2. ICNISC2016 Table of Contents
3. ICNISC 2017 has been indexed by IEEE Xplore and EI. ISBN 978-1-5386-1618-5. ICNISC2017 Table of Contents
4. ICNISC 2018 has been indexed by IEEE Xplore and EI and CPCI. ISBN: 978-1-5386-6956-3. ICNISC2018 Table of Contents
5. ICNISC 2019 has been published by IOP Publishing and indexed by EI. ISSN: 1742-6596. ICNISC2019 Table of Contents
6. ICNISC 2020 has been published by IOP Publishing and indexed by EI. ISSN: 1742-6596. ICNISC2020 Table of Contents
 7. ICNISC为一年一度系列会议，前面六届全部完成EI检索，其中第五届、第六届在出版之后1个月完成EI检索，检索时间供参考。
8. Due to the impact of COVID-19, ICNISC 2021 committee decides to hold an online meeting on July 24 (UTC+8) after a careful consideration.
9. Program book and more detailed information about which meeting APP and conference code has been sent to you before 9th July, 2021
 10. Download the Schedule of ICNISC 2021. ICNISC2021 Program Book

KEYNOTE SPEAKERS

Home > Keynote Speakers
Prof. Hongzhi Wang








Professor, Harbin Institute of Technology, China
Short Biography: Hongzhi Wang, Professor, PHD supervisor of Harbin Institute of Technology, the secretary general of ACM SIGMOD China, CCF outstanding member, a member of CCF databases and big data committee. Research Fields include big data management and analysis, database systems, knowledge engineering and data quality. He was “starring track” visiting professor at MSRA and postdoctoral fellow at University of California, Irvine. Prof. Wang has been PI for more than 10 national or international projects including NSFC key project, NSFC projects and National Technical support project, and co-PI for more than 10 national projects include 973 project, 863 project and NSFC key projects. He also serves as a member of ACM Data Science Task Force. He has won First natural science prize of Heilongjiang Province, MOE technological First award, Microsoft Fellowship, IBM PHD Fellowship and Chinese excellent database engineer. His publications include over 300 papers including VLDB, SIGMOD, SIGIR papers, 6 books and 3 book chapters. His PHD thesis was elected to be outstanding PHD dissertation of CCF and Harbin Institute of Technology. He severs as the reviewer of more than 20 international journal including IEEE TKDE and PC member of over 30 internal conference. His papers were cited more than 1800 times. His personal website is http://homepage.hit.edu.cn/wang.
Speech Title: Industrial Big Data Analysis: Thinking and Exploration

Prof. Anand Nayyar








Professor, Researcher and Scientist in Graduate School, Duy Tan University, Vietnam
Short Biography: Dr. Anand Nayyar received Ph.D (Computer Science) from Desh Bhagat University in 2017 in the area of Wireless Sensor Networks and Swarm Intelligence. He is currently working in Graduate School, Duy Tan University, Da Nang, Vietnam. A Certified Professional with 75+ Professional certificates from CISCO, Microsoft, Oracle, Google, Beingcert, EXIN, GAQM, Cyberoam and many more. Published more than 350 Research Papers in various National & International Conferences, International Journals (Scopus/SCI/SCIE/SSCI Indexed) with High Impact Factor. Member of more than 50+ Associations as Senior and Life Member and also acting as ACM Distinguished Speaker. He has authored/co-authored cum Edited 25+ Books of Computer Science. Associated with more than 500 International Conferences as Programme Committee/Chair/Advisory Board/Review Board member. He has 5 Australian Patents to his credit in the area of Wireless Communications and Artificial Intelligence. He is currently working in the area of Wireless Sensor Networks, MANETS, Swarm Intelligence, Cloud Computing, Internet of Things, Blockchain, Machine Learning, Deep Learning, Cyber Security, Network Simulation, Wireless Communications. Awarded 27+ Awards for Teaching and Research—Young Scientist, Best Scientist, Young Researcher Award, Outstanding Researcher Award, Excellence in Teaching and many more . He is acting as Editor-in-Chief of IGI-Global, USA Journal titled “International Journal of Smart Vehicles and Smart Transportation (IJSVST)”.
Speech Title: Future Wireless Communications Standards for IoT


Dr. M. Seenivasan








Associate Professor and Wing Head, Department of Mathematics - DDE, Annamalai University, India
Short Biography: Dr. M. Seenivasan was awarded Ph.d degree by Annamalai University in the year 2012. He got the B.Sc. degree in Mathematics from St. Xavier’s College, Palayamkottai. He did M.Sc, (Applied Mathematics) in Thiagarajar College of Engineering Madurai. He is currently working as Associate Professor and Wing Head, Department of Mathematics - DDE, Annamalai University. He has 19 years of teaching and 17 years of research experience. His area of research is Stochastic Processes and its Applications, Graph theory and Computer Networks. He has published more than 50 research articles in reputed international journals. He has guided 22 M.Phil scholars. At present, he is guiding Six Ph.D Research scholars. He is one of the editorial members of more than 20 international journals. He organized four international conferences in abroad and Ten international conferences within India. He Coordinated 10 Faculty Improvement Programmes in different fields. He acted as Invited speaker/Keynote Speaker in more than 30 International Conferences. He visited and organized the International Conference in Thailand, Malaysia, Singapore, Cambodia and USA.
Speech Title: Multi-Server Queueing Model with Server Breakdown


Prof. Yinglei Song








Professor in School of Electronics and Information Science, Jiangsu University of Science and Technology, China
Short Biography: Yinglei Song received his Ph.D. in computer science from the University of Georgia, USA in 2006. From year 2007 to 2012, he worked as an assistant professor of computer science at the University of Maryland Eastern Shore, USA. Currently he is working as a professor of information and computer science at the Jiangsu University of Science and Technology, China. He has published more than 80 papers in peer reviewed international journals and conferences. He was selected as one of the Specially Appointed Professors of Jiangsu Province in 2015. He is currently serving in the editorial boards of a number of well known international research journals. His research interests include image processing, machine learning, data mining, bioinformatics, design and analysis of algorithms.
Speech Title: Real-Time Image Processing with Efficient Dynamic Programming
Abstract: In image processing and computer vision, many problems are inherently related to optimization problems. Computing accurate solutions of these optimization problems is often challenging and requires a large amount of computation time. Algorithms that can efficiently compute accurate solutions to these problems are thus highly desirable for many real-time applications in practice. In this talk, I will present a new perspective on potential real-time solutions for these problems. Specifically, I propose to study and recognize the most important inherent structures of such problems and develop objective functions that can be efficiently optimized with dynamic programming. As an example, I will discuss the problem of image segmentation in image processing and show how accurate solutions can be efficiently obtained for general images. In addition, I will present how approaches based on dynamic programming can be developed for a few problems from different areas in image processing, including image enhancement, image retrieval, image registration and object recognition. In addition, I will present the limitations of this approach and discuss the possible directions of future research in this area.

Prof. Xiaoru Song






Professor, School of Electronic Information Engineering, Xi’an Technological University, China
Short Biography: Prof. Song Xiaoru received the B.E. degree from Henan University, China, in July 2003, and M.E. degree from Xi’an University of Science & Technology in March 2006, and the Ph.D. degree from Northwestern Polytechnical University in July 2014, respectively, all in Control Science and Control Engineering. She studied at the Engineering School of Texas. Her research topics mainly focus on Pattern recognition and intelligent system, Multi-sensor information fusion, Unmanned system navigation and control, Target detection and target recognition, and so on. In recent years, she has hosted and participated in a number of national key research and development projects, the National Natural Science Foundation of China, the National Defense Key Fund, and Shaanxi Province Key Research and Development Projects, etc. And she published more than 50 academic EI/SCI papers (SCI cited more than 60 times), including SCI journals More than a dozen papers (about 40 SCI citations). At the same time serving as a guest editor, reviewing experts for many international SCI and EI journals and Chinese core journals. More than 30 authorized invention patents have been accepted. At the same time, she won 1 third prize of Shaanxi Science and Technology Award and 2 Shaanxi Provincial Higher Education Science and Technology Award.





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