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Prof. Maode MaQatar University, Qatar IET Fellow, IEEE senior member
Prof. Maode Ma, a Fellow of IET, received his Ph.D. degree from the Department of Computer Science at the Hong Kong University of Science and Technology in 1999. Now, Prof. Ma is a Research Professor in the College of Engineering at Qatar University in Qatar. Before joining Qatar University, he has been a faculty member at Nanyang Technological University in Singapore for over 20 years. He has extensive research interests including network security and wireless networking. He has led 26 research projects funded by government, industry, military, and universities in various countries. He has supervised 25 research students to get their Ph. D degrees. He has been a conference chair, technical symposium chair, tutorial chair, publication chair, publicity chair, and session chair for over 100 international conferences. He has been a member of the technical program committees for more than 200 international conferences. Prof. Ma has more than 500 international academic publications including over 250 journal papers and about 250 conference papers. He has edited a few technical books and produced over 28 book chapters. His publication has received over 10,000 citations in Google Scholar. He has delivered over 90 keynote speeches and 10 tutorials at various international conferences. Prof. Ma currently serves as the Editor-in-Chief of the International Journal of Computer and Communication Engineering and the Journal of Communications. He also serves as a Senior Editor for IEEE Communications Surveys and Tutorials, and an Associate Editor for the International Journal of Wireless Communications and Mobile Computing and International Journal of Communication Systems. Prof. Ma is a senior member of the IEEE Communication Society and a member of ACM. He is now the Chair of the ACM, Singapore Chapter. He has been serving as an IEEE Communication Society Distinguished Lecturer from 2013 to 2016 and from 2023 to 2024. |
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Prof. Wanyang Dai Nanjing University, China
Bio:He has conducted a series of important and pioneering works in the fields of quantum computers, quantum cloud computing, stochastic (asymptotic) optimal control, (stochastic differential) game theory, and (forward-backward and reflected) stochastic (ordinary/partial) differential equations. His achievements have been widely cited, adopted, and further developed by renowned scientists including members of the U.S. National Academy of Sciences, the U.S. National Academy of Engineering, INFORMS Lancaster Prize winners, and John von Neumann Prize winners. Many influential results have been published in top-tier, authoritative, and renowned international journals.Chief Scientist of SuXia Control Technology; Chairman and Chief Executive Officer (CEO) of the American Quantum Computing Blockchain Industrial Revolution Forum; Distinguished Expert at Jiangsu Fintech Research Center; President of Jiangsu Society of Probability and Statistics; Director of Jiangsu Big Data, Blockchain and Intelligent Information Special Committee; Vice Chairman of multiple national societies including Probability, Statistics, Operations Research and Management, as well as Industrial and Applied Mathematics; Member of the Mathematics Discipline Evaluation Committee of the National Natural Science Award Committee (Group Leader of the Stochastic Analysis Group); Expert reviewer for major and key projects (including Outstanding Youth) of the National Natural Science Foundation; Editorial board member of numerous international journals on mathematics and its applications; and has served multiple times as chair of international conferences.
Speech title:Particle entanglement-based quantum computing and communication with agentic AI
Abstract: We will present our recently developed quantum particle entanglement-based quantum computing technology for building programmable quantum computer and quantum communication channel such as quantum 6G channel. The particle entanglement can be formed either between atom and photon or between photon and photon, which is easy for us to design simple angle-based algorithm to realize the calculation of addition, subtraction, multiplication, or division between two high-dimensional qubit-vectors with only single quantum operation. Newly designed encode-decode quantum transformer (Q-Transformer) together with CUDA-Q will also be presented for quantum-cloud computing and big model training with the aim to realize AGI through smart software and hardware AI agents. Related system management and dynamical scheduling policies for internal resources of a quantum computer or a quantum-cloud computing system to be used by multiple users will be trained with numerical simulations in a two-stage greedy competition and fairly optimal sharing way.
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Prof. Azlan bin Mohd ZainUniversiti Teknologi Malaysia, Malaysia
BIo:He received the Ph.D. degree in computer science from Universiti Teknologi Malaysia (UTM), in 2010. He was appointed as the Director of the Big Data Center, UTM, in April 2020. He is currently an Associate Professor with the School of Computing, UTM. His main research interests include artificial intelligence, modeling and optimization, machining, and statistical process control
Speech title: The Role of Artificial Intelligence (AI) in Computer Vision
Abstract: The topic of artificial intelligence (AI) and computer vision is covered in this sharing session. Artificial intelligence is a technique that allows machines and computers to perform computer vision tasks intelligently. A subset of artificial intelligence (AI) called machine learning (ML) uses algorithms to provide AI applications. A subset of machine learning (ML) called deep learning (DL) is used to tackle increasingly challenging computer vision tasks. In this session, the significance of machine learning and deep learning for computer vision tasks such as object recognition, object localization, segmentation, detection, and classification of images is discussed. This session concludes with a demonstration of a small computer vision project that uses an AI tool to detect image edges.
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