2024年电子信息工程与智能通信国际研讨会

CEI 2024 | November 8 - 10 2024 | Guangzhou CHINA

CEI 2024入选2024广州市“学术会议之都”建设项目

CEI 2024 has been selected for the “Capital of Academic Conferences“ project in Guangzhou in 2024. For more details：Click to learn

The “Capital of Academic Conferences“ Project

The 2024 4th International Conference on Computer Science Electronic Information Engineering and Intelligent Control Technology （CEI 2024） will take place during November 8-10 2024.

CEI 2024 will bring together top professionals from industry government and academia from around the world. CEI 2024 includes invited talks oral presentations and poster presentations of refereed papers. We invite submissions of papers and abstracts on all topics related to computer Science Electronic Information Engineering and Intelligent Control Technology.  The conference will provide networking opportunities for participants to share ideas designs and experiences on the state-of-the-art and future direction of consumer technologies and computer technology. CEI 2024 will feature a high-quality technical & experiential program dealing with a mix of traditional and contemporary hot topics in paper presentations and high-profile keynotes.

Awards

·  2 IEEE SMC Best Student Paper Awards

·  4 IEEE SMC Student Travel Grants

·  2 BEST Paper  Awards

·  2 BEST Oral Presentation Awards

·  2 BEST Poster Awards

IMPORTANT DATES

Full Paper Submission Date

August 26 2024

Registration Deadline

October 08 2024

Final Paper Submission Date

August 26 2024

Conference Dates

November 08 - November 10 2024

Speakers

Prof. Mohsen Guizani Mohamed Bin Zayed University of Artificial Intelligence （MBZUAI） UAE

IEEE Fellow

Mohsen Guizani （Fellow IEEE） received the B.S. （Hons.） M.S. and Ph.D. degrees in electrical and computer engineering from Syracuse University Syracuse NY USA in 1985 1987 and 1990 respectively. He is currently a Professor in machine learning and an Associate Provost with the Mohamed bin Zayed University of Artificial Intelligence （MBZUAI） Abu Dhabi United Arab Emirates. Previously he worked in different institutions in the USA. He is the author of 11 books and more than 1000 publications and several U.S. patents. His research interests include applied machine learning and artificial intelligence smart cities the Internet of Things （IoT） intelligent autonomous systems and cybersecurity. He was listed as a Clarivate Analytics Highly Cited Researcher in Computer Science in 2019 2020 2021 and 2022. He has won several research awards including the “2015 IEEE Communications Society Best Survey Paper Award” the Best ComSoc Journal Paper Award in 2021 and five best paper awards from ICC and GLOBECOM Conferences. He was a recipient of the 2017 IEEE Communications Society Wireless Technical Committee （WTC） Recognition Award the 2018 AdHoc Technical Committee Recognition Award and the 2019 IEEE Communications and Information Security Technical Recognition （CISTC） Award. He served as the Editor-in-Chief for IEEE Network and is currently serving on the editorial boards of many IEEE Transactions and magazines. He was the Chair of the IEEE Communications Society Wireless Technical Committee and the TAOS Technical Committee. He served as the IEEE Computer Society Distinguished Speaker and is currently the IEEE ComSoc Distinguished Lecturer.

Prof. Pin-Han Ho University of Waterloo Canada

IEEE Fellow

Dr. Pin-Han Ho received his B.Sc. and M.Sc. degree from the Electrical Engineering department in National Taiwan University in 1993 and 1995 respectively and Ph.D. degree from Queen’s University at Kingston at 2002. He is now an associate professor in the department of Electrical and Computer Engineering University of Waterloo Canada. Professor Pin-Han Ho is the author/co-author of more than 150 refereed technical papers several book chapters and the co-author of a book on optical networking and survivability. His current research interests cover a wide range of topics in broadband wired and wireless communication networks including survivable network design wireless Metropolitan Area Networks such as IEEE 802.16 networks Fiber-Wireless （FIWI） network integration and network security. He is the recipient of Distinguished Research Excellent Award in the ECE department of U of Waterloo Early Researcher Award （Premier Research Excellence Award） in 2005 the Best Paper Award in SPECTS‘02 ICC‘05 Optical Networking Symposium and ICC‘07 Security and Wireless Communications symposium and the Outstanding Paper Award in HPSR‘02.

Prof. Ljiljana Trajkovic Simon Fraser University Canada

IEEE Life Fellow

Co-Chair of the IEEE/SMCS Brain-Machine Interface Systems Technical Committee

Ljiljana Trajkovic received the Dipl. Ing. degree from University of Pristina Yugoslavia the M.Sc. degrees in electrical engineering and computer engineering from Syracuse University Syracuse NY and the Ph.D. degree in electrical engineering from University of California at Los Angeles. She is currently a professor in the School of Engineering Science Simon Fraser University Burnaby British Columbia Canada. Her research interests include communication networks and dynamical systems. Dr. Trajkovic served as IEEE Division X Delegate/Director President of the IEEE Systems Man and Cybernetics Society and President of the IEEE Circuits and Systems Society. She serves as Editor-in-Chief of the IEEE Transactions on Human-Machine Systems. She was a Distinguished Lecturer of the IEEE Circuits and System Society and a Distinguished Lecturer of the IEEE Systems Man and Cybernetics Society. She is a Fellow of the IEEE.

Speech title: Data Mining and Machine Learning for Analysis of Network Traffic

Abstract: Collection and analysis of data from deployed networks is essential for understanding modern communication networks. Data mining and statistical analysis of network data are often employed to determine traffic loads analyze patterns of users‘ behavior and predict future network traffic while various machine learning techniques proved valuable for predicting anomalous traffic behavior. In described case studies traffic traces collected from various deployed networks and the Internet are used to characterize and model network traffic analyze Internet topologies and classify network anomalies.

Call For Papers

The topics of interest for submission include but are not limited to:

·Computer Science

·Algorithm

·Automation software engineering

·Artificial intelligence

·Computer vision

·Computer security

·Computer network

·Computer simulation

·Human-computer interaction

·Information system

·Robotics and automation

·Knowledge data engineering

·Computer science and computer engineering

·Digital signal and image processing

·Digital system and logic design

·Multimedia applications

·Intelligent Control Technology

·Intelligent control and automation

·Control theory and application

·Intelligence and optimal control system

·System science and system engineering

·System modeling analysis and synthesis

·Power system and its automation

·Power electronics and power drive

·Smart grid

·Automatic control theory

·Signal collection and processing

·Database establishment and maintenance

·NC programming

·Electrical control technology

·Development of single chip microcomputer

Publication

All accepted full papers will be published in IEEE （ISBN: 979-8-3503-7854-2） and will be submitted to IEEE Xplore EI Compendex Scopus and Inspec for indexing.

Note:

（1） Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is made.

（2） All submitted articles should report original research results experimental or theoretical not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.