Prof. Alessandro Lampo, University of Saint Joseph, Macao, China
Dr. Lampo is a forward-thinking strategist at the forefront of applying emerging technologies and AI to shape the future of marketing and consumer behavior.
Dr. Lampo serves as Head of the Department of Business Studies at the University of Saint Joseph in Macao. In this role, he leads the management and international development of the Faculty of Business and Law's flagship MBA and BBA programmes.
Dr. Lampo is the author of “Promptly Yours,” a guide to shaping conversations with AI, as well as nearly 30 academic publications in the past 5 years, some of which have received international recognition. He actively shapes global business discourse through his contributions to international conferences and his role on the editorial board of academic journals.
The scholarly work is grounded in years of experience in upper management at international companies, where he was directly responsible for strategic planning and technology implementation.
A firm believer in blending strategy with creativity, Dr. Lampo is also a passionate musician, having performed in his earlier years.
 
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Prof. Daowen Qiu, Sun Yat-sen University, China
I have been full professor of computer science in Sun Yat-sen University since 2004, and my research interests are focused on new computing models, quantum computing, distributed quantum algorithms, quantum models learning, quantum communication, fuzzy and probabilistic as well as quantum discrete event systems. I have published peer-reviewed over 200 papers in international journals. I am editors of some international academic journals, including Theoretical Computer Science.

Invited Speaker III

 

Assoc. Prof. Yu Zhao, Tokyo University of Science, Japan
Dr. Yu Zhao is currently a Junior Associate Professor at the School of Management, Tokyo University of Science. He also serves as a visiting lecturer at the Institute of Statistical Mathematics, Japan. He obtained his Ph.D. in Information Science and Technology from Osaka University. His research primarily focuses on both the theoretical and practical aspects of statistical learning theory, operations research, and management science. His analytical approaches include machine learning and algorithmic learning methods, statistical inference and modeling, and mathematical programming, among others. His work has been published in journals such as Omega – The International Journal of Management Science, The European Journal of Operational Research, Expert Systems with Applications, and other reputable journals.

 

Invited Speaker IV

 

Prof. Haixin Wang,  Fort Valley State University, USA
Haixin Wang is a Professor in the Department of Natural and Computational Sciences at Fort Valley State University, where he supports the Computer Science Program and the Cooperative Development Energy Program (CDEP). His primary research focuses on bioinformatics, signal processing, data mining, and image processing, with recent work centered on image-based analytics for digital agriculture. He has developed practical pipelines for peach leaf image denoising, segmentation, and physical characteristic estimation, including a two-step denoising approach, K-means clustering in L*a*b* color space, and a unified algorithm for estimating physical characteristics of noisy peach. His research aims to automate the extraction of physical characteristics and disease indicators to support modern orchard management. Prof. Wang has served as PI/Co-PI on externally funded projects, including USDA-supported research on peach trees using image processing, and additional awards supported by PREP, NSF, and the U.S. Department of the Army. He has authored 22 publications, reviewed 81+ papers for journals and conferences, and received recognition such as Best Presenter at IEEE CIPCV 2024.

 

Invited Speaker V
 

 

Assoc. Prof. Masateru Tsunoda, Kindai University, Japan
Masateru Tsunoda is an associate professor in the Department of Informatics at Kindai Unitersity, Japan. His research interests include software measurement and human factors in software development. Tsunoda received a Doctor of Engineering in information science from the Nara Institute of Science and Technology. He is a member of IEEE, the Institute of Electronics, Information, and Communication Engineers, the Information Processing Society of Japan, the Japan Society for Software Science and Technology, and the Japan Society for Information and Systems in Education.