Prof. Alessandro Lampo, University of Saint Joseph, Macao, China
Dr. Lampo is an Assistant Professor at the University of Saint Joseph (Macau SAR, China), where he leads the Bachelor of Business Administration (BBA) program. He holds a Bachelor's degree from Handelshøyskolen BI in Norway, as well as an MBA and a Doctoral degree summa cum laude from the University of Saint Joseph in Macau. His expertise lies in marketing, consumer behavior, and the intersection of technology with business. Dr. Lampo's research focuses on sustainability and consumers’ adoption of technology. Over the past few years, he has authored several publications, some of which have earned recognition and awards. He serves as the regional coordinator for AGBRP (Academy for Global Business Research and Practice) and contributes to various academic journals. Additionally, he is active as part of the Technical Committees of several international conferences. Before academia, Dr. Lampo held management positions in multinational companies across Italy, Norway, and China, overseeing strategic planning, sales management, and technology implementation.

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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.

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  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.