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ICAIC 2024

Professor Jiangbin is the director of Department of Computer Engineering, College of Computer Science and Electronic Engineering, Hunan University, China. He received his B.S. and B.E. degrees, M.E. degree both from Hunan University (HNU), China, and had the Doctor of Engineering Degree from Tokyo Institute of Technology (Tokyo TECH), Japan.During 2002 and 2003, he worked at the KISTEM Co., Ltd (Key Information System, Gate-Group), Japan as trainee. His research interests include Artificial Intelligence, Big Data Technology, Machine Vision, Machine Learning, Natural Language Processing, Intelligent Computing, Recommender System, Social Computing and etc. He is a member of CCF, CAAI, IEEE, ACM and etc.

Bin Jiang

Hunan University, China

Lei Chen received the B.Sc. and M.Sc. degrees in electrical engineering from Shandong University, Jinan, China, and the Ph.D. degree in electrical and computer engineering from University of Ottawa, Ontario, Canada. He is currently an Associate Professor with the School of Information Science and Engineering, Shandong University, China. His research interests include image processing and computer vision, visual quality assessment and pattern recognition, machine learning and artificial intelligence. He was the principal investigator of projects granted from the National Natural Science Foundation of China, National Natural Science Foundation of Shandong Province, China Postdoctoral Science Foundation, etc. 

Lei Chen
Shandong University, China

Cong Lin  received the B.S. degree in computer science from Tsinghua University, Beijing, China, in 2005, the M.S. degree in software engineering from Sun Yat-sen University, Guangzhou, China, in 2009, and the  Ph.D  degree in   computer science from Sun Yat-sen University, Guangzhou, China, in 2019. He is currently a lecturer with the School of Statistics and Mathematics,  Guangdong  University of Finance & Economics.  His research interests include digital image processing, multimedia forensics and security. He is a committee member of the Technical Committee on Digital Media Forensics and Security(TCDMFS) , China Society of image and graphics. He serves as a reviewer of IEEE Transactions on Information Forensics and Security,IEEE Transactions on SMC: Systems, Signal Processing, Journal of Visual Communication and Image Representation, The Journal of Supercomputing, Multimedia Systems, etc.

Cong Lin
Guangdong University Of Finance and Economics

Prof. Witold Pedrycz​

University of Alberta

The general research interests lie in the realm of Computational Intelligence (CI), bioinformatics, and Granular Computing regarded as a recent development in the design and analysis of intelligent and human-centric systems. CI hinges on a synergistic interaction of the leading information technologies such as fuzzy sets, neural networks and evolutionary computing. 

Here several fundamental pursuits are sought:

  • Investigation of various aspects of collaboration and knowledge sharing realized in presence of technical constraints and aspects of privacy and security of available information

  • Algorithms of collaborative clustering as a vehicle of structure determination and structure sharing

  • Studies on the role of information granularity versus the computational and functional constraints of fuzzy modelling

  • Design of mechanisms of knowledge sharing

  • Emergence of higher order granular constructs

KANNIMUTHU S

KARPAGAM COLLEGE OF ENGINEERING

Professpr, Head-Center of Eecellence in Algorithms, Department of CSE

 Areas of Interest:

  • Artificial Intelligence

  • Data Structures and Algorithm Design

  • Big Data Analytics

  • Machine Learning 

 

Book/Book Chapter Publications (5)

 

  • Published a book Titled “LinkedList Demystified: A Placement Perspective”, Charulatha Publications, ISBN-978-93-5577-177-3, 2022.

  • Published a book Titled “Artificial Intelligence”, Umayam Publications, ISBN-819030416-x, 2011.

  • Published a Book Chapter Titled “Stellar Mass Black Hole for Engineering Optimization” in Recent Developments in Intelligent Nature-Inspired Computing, IGI-Global publication, 2017. [Web of Science]

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