Yuan Yan Tang (Life Fellow, IEEE) received the BSc degree in electrical and computer engineering from Chongqing University, Chongqing, China, the MEng degree in electrical engineering from the Beijing Institute of Posts and Telecommunications, Beijing, China, and the PhD degree in computer science from Concordia University, Montreal, QC, Canada. He is currently an Emeritus chair professor with the Faculty of Science and Technology, University of Macau, and a professor/adjunct professor/honorary professor with several institutes, including Chongqing University, China, Concordia University, and Hong Kong Baptist University, Hong Kong. His current interests include wavelets, pattern recognition, and image processing. He is the founder and the chair of Pattern Recognition Committee, IEEE SMC. He has serviced as the general chair, program chair, and committee member of many international conferences. He is the founder and the general chair of the International Conferences on Wavelets Analysis and Pattern Recognition (ICWAPRs) series. He is the founder and the editor-in-chief of the International Journal of Wavelets, Multiresolution and Information Processing (IJWMIP). He is a fellow of IAPR.

Tan, Ying is a professor in the Department of Machine Intelligence, School of EECS, Peking University and has served as a PhD advisor and the Director of Computational Intelligence Laboratory. He is the inventor of Fireworks Algorithm (FWA). He obtained his B.Eng. from Electronic Engineering Institute in 1985, and M.Eng. from Xidian University in 1988, and Ph.D. from Southeast University in 1997, respectively. His research interests include computational intelligence, swarm intelligence, machine learning and data mining, and information security application. Dr. Tan has published 6 monographs by Morgan Kaufmann (Elsevier), Springer, Wiley & IEEE, CRC Press/Taylor & Francis, IGI Global and Science Press, respectively, and published more than 260 research papers, and most of them are published in top-tier journals and conferences, such as IEEE TEC, TNN, TKDE, TCyb, TIFS, TITS, and CVPR and AAAI. In addition, he authored/co-authored more than 10 books and 12 chapters in book. He has served as a Leading Editor to coordinate and edit more than twenty volumes of Springer LNCS books. He got four invented patents of China. He was awarded a National 2nd-Class Natural Science Prize of China in 2009. He is/was the founder and general chairs of ICSI conferences since 2010. He is a general chair of DMBD2016-2017, ICMEB2017 and ICMEB2017. He was the program chair of IEEE WCCI’2014, ISNN2008 and ICACI2012, and publicity chair of IEEE SSCI’2016, etc.

I am interested in the structuring of knowledge, ontologies and metalanguages ​​based on XML, design and production of Learning Objects. In particular, as far as Learning Objects are concerned, it is concerned with the structuring of the interactive scheme, focusing attention on learning processes. In this context, the attention has been placed and will be refined with a view to usability, accessibility and quality. In the last few years I have addressed the use of mobile technologies and augmented reality in the field of training and information. In this last period my research focuses on Educational Robotics and on the relationship between technologies and knowledge construction. My research is carried out in the EURESIS Training Epistemology Laboratory (director Prof.ssa Gramigna).

Ching-Chih Tsai received the Diplomat in Electrical Engineering from National Taipei Institute of Technology, Taipei, Taiwan, ROC, the MS in Control Engineering from National Chiao Tung University, Hsinchu, Taiwan, ROC and the PhD in Electrical Engineering from Northwestern University, Evanston, IL, USA, in 1981, 1986 and 1991, respectively. Currently, he is a university distinguished Professor in the Department of Electrical Engineering, National Chung-Hsing University, Taichung, Taiwan, ROC. He has published over 60 journal papers and more than 200 conference papers and six patents. Since 2007, he has been the President, Taichung Chapter, Chinese Institute of Engineers, Taiwan. His current interests include advanced control methods, robotics, mechatronics, intelligent systems and methods, imaging processing and their applications to display systems and industrial processes.

Ying Tan is a professor in the Department of Machine Intelligence, School of EECS, Peking University and has served as a PhD advisor and the Director of Computational Intelligence Laboratory. He is the inventor of Fireworks Algorithm (FWA). He obtained his B.Eng. from Electronic Engineering Institute in 1985, and M.Eng. from Xidian University in 1988, and Ph.D. from Southeast University in 1997, respectively. His research interests include computational intelligence, swarm intelligence, machine learning and data mining, and information security application. Dr. Tan has published 6 monographs by Morgan Kaufmann (Elsevier), Springer, Wiley & IEEE, CRC Press/Taylor & Francis, IGI Global and Science Press, respectively, and published more than 260 research papers, and most of them are published in top-tier journals and conferences, such as IEEE TEC, TNN, TKDE, TCyb, TIFS, TITS, and CVPR and AAAI. In addition, he authored/co-authored more than 10 books and 12 chapters in book. He has served as a Leading Editor to coordinate and edit more than twenty volumes of Springer LNCS books. He got four invented patents of China. He was awarded a National 2nd-Class Natural Science Prize of China in 2009. He is/was the founder and general chairs of ICSI conferences since 2010. He is a general chair of DMBD2016-2017, ICMEB2017 and ICMEB2017. He was the program chair of IEEE WCCI’2014, ISNN2008 and ICACI2012, and publicity chair of IEEE SSCI’2016, etc.

Ching-Chih Tsai received the Diplomat in Electrical Engineering from National Taipei Institute of Technology, Taipei, Taiwan, ROC, the MS in Control Engineering from National Chiao Tung University, Hsinchu, Taiwan, ROC and the PhD in Electrical Engineering from Northwestern University, Evanston, IL, USA, in 1981, 1986 and 1991, respectively. Currently, he is a university distinguished Professor in the Department of Electrical Engineering, National Chung-Hsing University, Taichung, Taiwan, ROC. He has published over 60 journal papers and more than 200 conference papers and six patents. Since 2007, he has been the President, Taichung Chapter, Chinese Institute of Engineers, Taiwan. His current interests include advanced control methods, robotics, mechatronics, intelligent systems and methods, imaging processing and their applications to display systems and industrial processes.

Kaoru Sumi is a professor in Future University Hakodate, Japan. Prof. Sumi received her Ph.D. in engineering from the University of Tokyo. She is currently working on Human Agent Interaction, Persuasive technology, Artificial Intelligence in Education, Affective Computing, and Interactive Digital storytelling. She previously worked at ATR MI&C Research Laboratories, Communications Research Laboratory, and Osaka University, National Institute of Information and Communications Technology and Hitotsubashi University. She was a visiting professor in British Columbia, Canada. ACM Senior Member, IEEE Senior Member, IEEE Sapporo Section Board of Directors, IEEE Women in Engineering Sapporo Section Chair.

Ker-Jiun Wang is an engineer, scientist, inventor and a series entrepreneur, bridging academia and industry with his expertise in robotics, automation, and wearable biosensing technology aimed at advancing Human-Machine and Human-Centered AI Interaction. As the co-founder and CTO of EXGwear Inc., CTO of Jiun Pul Enterprise Inc., and a Visiting Faculty member at the University of Pittsburgh, Ker-Jiun’s influence spans across innovative product design and breakthrough scientific research. He earned his Ph.D. in Bioengineering from the University of Pittsburgh, where he was honored with the AAAS/Science Program for Excellence in Science, and his M.S. in Electrical and Computer Engineering from Carnegie Mellon University. Prior to his journey in the U.S., he lectured full-time at Mechanical Engineering at National Taiwan University, fostering his early cross-disciplinary training and academic contributions. Ker-Jiun’s impact is recognized globally: he has won top prizes in numerous international science, robotics, and entrepreneurship competitions, including the 1st place of IEEE SMC Society Award in Brain-Computer Interface at IEEE SMC 2017 and the Best Robot Hardware Design award at International Conference on Social Robotics (ICSR) 2018. Additionally, he was a Best Paper Award Finalist at the IEEE AIVR 2018 conference. As a sought-after speaker, Ker-Jiun has been featured at prestigious events such as the Robotics Summit & Healthcare Robotics Engineering Forum, hosted by WTWH Media. His commitment to advancing the field is further exemplified by his service as a session chair, co-chair, and associate editor for various IEEE international conferences and workshops, including IEEE RO-MAN, IEEE ROBIO, and IEEE ICIT. Dedicated to fostering the next generation of innovators, Ker-Jiun also serves as a veteran judge at Pittsburgh’s high school science fairs and Intel ISEF, where he shares his insights and encourages aspiring young scientists. Driven by a deep commitment to advancing Human-Robot Interaction, Dynamical Systems and Control, Machine Learning, Neuro-Machine Interfaces, and Wearable Device development, Ker-Jiun exemplifies the fusion of scientific rigor, technological innovation, and entrepreneurial spirit. As an active mentor, he guides research teams and entrepreneurial ventures across both academic and industrial sectors, establishing himself as a transformative figure in the evolution of cutting-edge Human-Machine Interaction technologies.

I am interested in the structuring of knowledge, ontologies and metalanguages ​​based on XML, design and production of Learning Objects. In particular, as far as Learning Objects are concerned, it is concerned with the structuring of the interactive scheme, focusing attention on learning processes. In this context, the attention has been placed and will be refined with a view to usability, accessibility and quality. In the last few years I have addressed the use of mobile technologies and augmented reality in the field of training and information. In this last period my research focuses on Educational Robotics and on the relationship between technologies and knowledge construction. My research is carried out in the EURESIS Training Epistemology Laboratory (director Prof.ssa Gramigna).

XINWEI CAO received the bachelor’s degree from Shandong University, Jinan, China, in 2009, the master’s degree from Tongji University, Shanghai, China, in 2012, and the Ph.D. degree from Fudan University, Shanghai, in 2017, all in management. She is currently a Full Professor with the School of Business, Jiangnan University, China. Her research interests include robot control and decision making, multi-robot system management, portfolio optimization, fraud detection and operational research.

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As an experienced Cybersecurity professional with a proven track record in SOC operations and threat mitigation, I am highly skilled in planning, implementing, and managing security measures to protect an organization's computer systems, network, and data. My work as a SOC analyst has given me the opportunity to collaborate with cross-functional teams to monitor and fight threats to an organization's IT infrastructure and assess security systems and measures for weaknesses and possible improvements. I have extensive hands-on experience with SIEM tools such as Log Rhythm, Splunk, QRadar, ArcSight, Alien Vault, and Graylog, among others. Throughout my career, I have demonstrated expertise in Forensic and malware analysis, incident detection and response, vulnerability assessment, security information, and event management (SIEM) operations. I have researched, evaluated, and assessed emerging cybersecurity threats, incidents, and vulnerabilities, using open-source tools such as Talos by Cisco, abuseipdb, and whois to spot bad IP addresses.