{"id":224607,"date":"2024-04-14T19:44:10","date_gmt":"2024-04-15T02:44:10","guid":{"rendered":"https:\/\/ieee-cisose-congress.org\/?page_id=224607"},"modified":"2026-07-15T00:57:16","modified_gmt":"2026-07-15T00:57:16","slug":"keynote-speakers","status":"publish","type":"page","link":"https:\/\/cisose.fit.ac.jp\/2026\/keynote-speakers\/","title":{"rendered":"Keynote Speakers"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"224607\" class=\"elementor elementor-224607\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d341bc5 e-flex e-con-boxed e-con e-parent\" data-id=\"d341bc5\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8623283 elementor-widget elementor-widget-heading\" data-id=\"8623283\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">CISOSE Opening Remarks<\/h3>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9578482 e-con-full e-flex e-con e-parent\" data-id=\"9578482\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-7f50300 e-con-full e-flex e-con e-child\" data-id=\"7f50300\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-609ed06 elementor-widget elementor-widget-image\" data-id=\"609ed06\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/Hironori-Washizaki-2026-2-150x150.webp\" class=\"attachment-thumbnail size-thumbnail wp-image-226944\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d737e67 elementor-widget elementor-widget-text-editor\" data-id=\"d737e67\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Prof. Hironori Washizaki<\/strong><\/br>\nWaseda University, Japan<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-89c030c e-con-full e-flex e-con e-child\" data-id=\"89c030c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cc353e7 elementor-widget elementor-widget-text-editor\" data-id=\"cc353e7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic:\u00a0 Impact of IEEE Computer Society in Advancing Technologies, including SWEBOK and Service Engineering<\/span><\/h5>\n<div><span data-teams=\"true\"><b>Abstract:<\/b> <\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8d0ce79 e-flex e-con-boxed e-con e-parent\" data-id=\"8d0ce79\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5caff2b elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"5caff2b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1736b17 e-flex e-con-boxed e-con e-parent\" data-id=\"1736b17\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-97a5399 elementor-widget elementor-widget-heading\" data-id=\"97a5399\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">CISOSE Keynote Speakers<\/h3>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ba8c11e e-con-full e-flex e-con e-parent\" data-id=\"ba8c11e\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-e12d9cd e-con-full e-flex e-con e-child\" data-id=\"e12d9cd\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-270be20 elementor-widget elementor-widget-image\" data-id=\"270be20\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/ZhangJianwei-150x150.webp\" class=\"attachment-thumbnail size-thumbnail wp-image-226939\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e19328 elementor-widget elementor-widget-text-editor\" data-id=\"8e19328\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Professor Jianwei Zhang<\/strong><\/br>\nUniversity of Hamburg, Germany<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b801989 e-con-full e-flex e-con e-child\" data-id=\"b801989\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1e2e37f elementor-widget elementor-widget-text-editor\" data-id=\"1e2e37f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic: Multimodal Embodied AI: Toward Intelligent General-Purpose Robots for Humanity <\/span><\/h5><div><span data-teams=\"true\"><b>Abstract:<\/b> The emergence of multimodal embodied AI represents a major step toward the development of general-purpose robotic systems. Large Multimodal Models (LMMs) facilitate action planning by combining bottom-up skills, enabling robots to generate flexible and effective task sequences from elementary capabilities. In this talk, I will introduce foundational concepts inspired by cognitive systems that enable robots to better understand complex multimodal environments through the integration of knowledge and learning, thereby improving their ability to adapt, predict, and interact. I will then discuss how advanced learning techniques can be incorporated into intelligent robotic systems to enhance their adaptability and performance. Finally, I will outline the key modules required to elevate a robot\u2019s intelligence and autonomy, and explain how a hybrid cognitive architecture can provide a balanced and scalable approach. In parallel, I will showcase a range of robotic platforms demonstrating capabilities in whole-body manipulation, dynamic locomotion, and service-oriented manipulation tasks. These examples highlight the potential of embodied AI for general human-service applications and its promise to contribute to the well-being of society.<\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-11911fc e-con-full e-flex e-con e-parent\" data-id=\"11911fc\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-5c38b20 e-con-full e-flex e-con e-child\" data-id=\"5c38b20\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-826d027 elementor-widget elementor-widget-image\" data-id=\"826d027\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/elementor\/thumbs\/JianhuaMa-rotvdj5f5um19hu5hill44me9qk2p9sbob94qzrmu4.webp\" title=\"JianhuaMa\" alt=\"JianhuaMa\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-01eaf84 elementor-widget elementor-widget-text-editor\" data-id=\"01eaf84\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Prof.<\/strong> <b>Jianhua Ma<\/b> <br \/>Hosei University, Japan<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b7a8fd8 e-con-full e-flex e-con e-child\" data-id=\"b7a8fd8\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bfa4400 elementor-widget elementor-widget-text-editor\" data-id=\"bfa4400\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic: <\/span>From Personal Big Data to Personalized Intelligence<\/h5><p><strong>Abstract:<\/strong> Personal Data is getting bigger and bigger due to the popularity of smartphones, wearables, ambient devices, IoT, social media, cloud and edge services, etc. Personal big data (PBD) is a large and continuous collection of data from various sources in rich multimode as personal lifelogs experienced in physical and cyber environments. Such PBD can be used not only for knowing more about a person but also making personalized intelligence (PI) in emerging cyber-physical integrated hyperworld. This talk will first discuss the latest research on recognition of personal behavior, emotion and personality based on increasing personal big data, and then present a novel way to create a group of artificial intelligent buddies or agents that may help a real individual (Rea-I) better living, working and doing other activities in the hyperworld. These personal intelligent buddies\/agents, generally known as X-Is, can be in various forms including Cyber-I, Wear-I, Robo-I, Ambi-I, Web-I, Social-I, Health-I, and so on to serve and assist a person in different life aspects or ways. Potential emerging applications are foreseen, and key technological challenging issues are discussed on using personal big data for personalized intelligence.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f9541e0 e-con-full e-flex e-con e-parent\" data-id=\"f9541e0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-08db2e2 e-con-full e-flex e-con e-child\" data-id=\"08db2e2\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ab71b34 elementor-widget elementor-widget-image\" data-id=\"ab71b34\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/elementor\/thumbs\/JianjunZhao-rp0hrat5zoem4ec8zj7291rkem43mjt8k4e8lphsgs.webp\" title=\"JianjunZhao\" alt=\"JianjunZhao\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d7daff elementor-widget elementor-widget-text-editor\" data-id=\"1d7daff\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<span data-teams=\"true\">Speaker: <strong>Prof. Jianjun Zhao<\/strong> <\/span> <\/br><span data-teams=\"true\">Kyushu University, Japan<\/span>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-89ca164 e-con-full e-flex e-con e-child\" data-id=\"89ca164\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ab0e95 elementor-widget elementor-widget-text-editor\" data-id=\"1ab0e95\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span style=\"color: #000000;\">Topic: <\/span>Quantum Software Engineering: From Quantum Algorithms to Real Software<\/h5><p><strong>Abstract: <\/strong>Quantum computing is often discussed in terms of hardware, algorithms, and circuits. Yet a quantum algorithm is only a starting point. To be used in practice, it must be realized as software that can be developed, tested, analyzed, debugged, and maintained. In this talk, I will introduce the emerging field of quantum software engineering, which brings software engineering principles, methods, and tools to the development and quality assurance of quantum software. I will discuss how the distinctive properties of quantum computation create new challenges for program analysis, testing, debugging, repair, modeling, and software quality, and why classical software engineering methods need to be reconsidered and adapted for the quantum setting. The talk will conclude with several open problems and future directions for making quantum software engineering a more systematic and practical field.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-45fa6bf elementor-widget elementor-widget-ucaddon_toggle_text_button\" data-id=\"45fa6bf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"ucaddon_toggle_text_button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<!-- start Toggle Text Button -->\n<style>\/* widget: Toggle Text Button *\/\n\n#uc_toggle_text_button_elementor_45fa6bf .read_more{\n  text-decoration:none;\n  font-size:14px;\n  color:white;\n  transition:0.3s;\n  cursor: pointer;\n}\n\n<\/style>\n\n<div id=\"uc_toggle_text_button_elementor_45fa6bf\" class=\"toggle_text_button\"> \n  \n  <div class=\"short_txt\"><\/div>   \n  <div class=\"long_txt\" style=\"display:none;\"><p><span data-teams=\"true\">Speaker: <strong>Prof. Jianjun Zhao<\/strong> <\/span><span data-teams=\"true\">Kyushu University, Japan<\/span><\/p><p style=\"text-align: left;\"><span class=\"TextRun SCXW221854396 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW221854396 BCX8\"><strong>Biography:<\/strong> Jianjun<\/span><span class=\"NormalTextRun SCXW221854396 BCX8\">\u00a0Zhao is a Professor at Kyushu University, Japan, whose research connects software engineering with quantum computing. He is interested in a simple question: if quantum programs are to become real software, how can we make them easier to understand and test, and more reliable in practice? Building on his long-standing work in software engineering, he now studies quantum program analysis, testing, debugging, repair, and software quality. More broadly, his work aims to make quantum software engineering a more systematic and practical field.<\/span><\/span><span class=\"EOP SCXW221854396 BCX8\" data-ccp-props=\"{&quot;134245417&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p><\/div>  \n  \n  <div style=\"text-align:inherit;\">  \n    <span class=\"read_more\">\n      <span class=\"btn_txt_before_click\">Biography<\/span>\n      <span class=\"btn_txt_after_click\" style=\"display:none;\">close<\/span>\n    <\/span>  \n  <\/div>  \n<\/div>\n<!-- end Toggle Text Button -->\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d5cb78b e-con-full e-flex e-con e-parent\" data-id=\"d5cb78b\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-186903c e-con-full e-flex e-con e-child\" data-id=\"186903c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ccdb275 elementor-widget elementor-widget-image\" data-id=\"ccdb275\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/elementor\/thumbs\/yamaguti-rp2i4fg5ikmppw8tv44eb5jeebrjz0zr2b9agoudek.webp\" title=\"yamaguti\" alt=\"yamaguti\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1dbdc0e elementor-widget elementor-widget-text-editor\" data-id=\"1dbdc0e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Assoc. Prof. Yutaka Yamaguti<\/strong>\u00a0 Fukuoka Institute of Technology, Japan<br \/><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d10a94f e-con-full e-flex e-con e-child\" data-id=\"d10a94f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c461129 elementor-widget elementor-widget-text-editor\" data-id=\"c461129\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span style=\"color: #000000;\">Topic: <span style=\"font-size: 16px; font-style: inherit; font-weight: inherit;\">Functional Differentiation in Brains and Neural Networks<\/span><\/span><\/h5><p><strong>Abstract:<\/strong>Functional differentiation\u2014the emergence of distinct roles among neurons and neural populations\u2014is a central feature of brain organization, yet its dynamical basis remains incompletely understood. In this talk, I approach this problem from complex systems theory, focusing on how global constraints on information flow can bias self-organizing neural systems toward specialization. I will introduce mathematical models developed with my colleagues\u2014coupled-oscillator networks, evolutionary reservoir computers, hippocampal models, and recurrent neural networks trained with mutual-information constraints\u2014linked by a common question: how does information-flow regulation shape differentiation? Across these models, specialization can arise before structural reorganization and can support adaptive properties such as noise robustness and containment of perturbation effects. I will end by briefly considering possible connections to artificial intelligence, where related questions about specialization, modularity, and robustness also arise.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b4762d4 e-con-full e-flex e-con e-parent\" data-id=\"b4762d4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-6b3ff76 e-con-full e-flex e-con e-child\" data-id=\"6b3ff76\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b3745bf elementor-widget elementor-widget-image\" data-id=\"b3745bf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/GordonGu-150x150.webp\" class=\"attachment-thumbnail size-thumbnail wp-image-226802\" alt=\"\" srcset=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/GordonGu-150x150.webp 150w, https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/GordonGu-300x300.webp 300w, https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/GordonGu-768x768.webp 768w, https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/GordonGu.webp 887w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b24b4b1 elementor-widget elementor-widget-text-editor\" data-id=\"b24b4b1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Dr. Gordon Gu<\/strong><\/br>\nBoard Director \u2013 ADINNO Inc.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-796b56f e-con-full e-flex e-con e-child\" data-id=\"796b56f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d68951 elementor-widget elementor-widget-text-editor\" data-id=\"3d68951\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic: New Economy Based on Advanced Air Mobility &amp; Low Altitude Driven by the New tech 6G AI \/ eVTOL\u00a0<\/span><\/h5><div><span data-teams=\"true\"><b>Abstract:<\/b>\u00a0<\/span><span style=\"font-size: 1rem;\">Driven by green transition and sustainable high-quality development, the emerging Advanced Air Mobility (AAM) industry is set to achieve sustained, robust long-term growth. Centered on electric vertical takeoff and landing (eVTOL) vehicles, the sector integrates upcoming 6G communication infrastructure and mature artificial intelligence algorithms to develop disruptive new commercial operation paradigms.<\/span><\/div><div><span data-teams=\"true\">\u00a0 People intend to roll out exclusive aerial transport routes, guaranteeing on-time delivery of high-value cargo and smooth passenger transit. As an indispensable complement to conventional ground transportation and domestic trunk airlines covering journeys up to several hundred kilometers, AAM resolves mobility bottlenecks over short-to-medium distances ranging from 100 to several hundred kilometers, bridging the efficiency voids left by both ground and fixed-wing air travel.<\/span><\/div><p>\u00a0 Commonly known as the Low-Altitude Economy in china, the AAM industry is forecast to generate more than 500,000 new jobs and contribute nearly RMB 200 billion in incremental GDP to the G60 area\u2014 an integrated cluster of nine cities surrounding Shanghai \u2014 by 2035.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ffa808f e-flex e-con-boxed e-con e-parent\" data-id=\"ffa808f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ee96551 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"ee96551\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-37674bd e-flex e-con-boxed e-con e-parent\" data-id=\"37674bd\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4865ffe elementor-widget elementor-widget-heading\" data-id=\"4865ffe\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">FTS Summit Keynote Speaker<\/h3>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-82e1a05 e-con-full e-flex e-con e-parent\" data-id=\"82e1a05\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-bd7f771 e-con-full e-flex e-con e-child\" data-id=\"bd7f771\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3d7d180 elementor-widget elementor-widget-image\" data-id=\"3d7d180\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/Jie_Xu-150x150.webp\" class=\"attachment-thumbnail size-thumbnail wp-image-226959\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-377ebd6 elementor-widget elementor-widget-text-editor\" data-id=\"377ebd6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Prof. Jie Xu<\/strong><br \/>University of Leeds, UK<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6d802d1 e-con-full e-flex e-con e-child\" data-id=\"6d802d1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-942e814 elementor-widget elementor-widget-text-editor\" data-id=\"942e814\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic: Systems for AI Agents: Scaling, Performance, and Execution Support<br \/><\/span><\/h5><div><span data-teams=\"true\"><b>Abstract:<\/b> In this presentation, we will share our recent experience in designing and implementing a distributed system to support the full lifecycle of large language models (LLM) and AI agents. We will focus on the challenges of balancing key system requirements and design objectives, including model sizes, model performance, efficiency, and the mitigation of\u00a0 hallucinations. The presentation will also examine the critical system infrastructure and architectural support required for the development and deployment of AI agents.<\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-69b0743 elementor-widget elementor-widget-ucaddon_toggle_text_button\" data-id=\"69b0743\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"ucaddon_toggle_text_button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n<!-- start Toggle Text Button -->\n<style>\/* widget: Toggle Text Button *\/\n\n#uc_toggle_text_button_elementor_69b0743 .read_more{\n  text-decoration:none;\n  font-size:14px;\n  color:white;\n  transition:0.3s;\n  cursor: pointer;\n}\n\n<\/style>\n\n<div id=\"uc_toggle_text_button_elementor_69b0743\" class=\"toggle_text_button\"> \n  \n  <div class=\"short_txt\"><\/div>   \n  <div class=\"long_txt\" style=\"display:none;\"><p style=\"text-align: left;\"><span class=\"TextRun SCXW221854396 BCX8\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW221854396 BCX8\"><strong>Biography:<\/strong> Jie Xu is Chair of Computing at the University of Leeds, Director of the UK White Rose Grid e-Science Centre, involving the three White Rose Universities of Leeds, Sheffield and York, a <br \/>co-Leader of the EPSRC-funded UK National Hub in Clouds and Distributed Computing, and <br \/>Head of the Distributed Systems and Services (DSS) Theme at Leeds. Xu has worked in the <br \/>field of Distributed Computing Systems for over forty years, engaging closely with industrial <br \/>leaders in the field. He received a PhD in Computing Science from the University of <br \/>Newcastle upon Tyne, and was Professor of Distributed Systems at the University of Durham <br \/>before joined Leeds in 2003.<\/span><\/span><\/p><p>Professor Xu is an executive member of UKCRC (UK Computing Research Committee) and a <br \/>Turing Fellow in AI and Data Science. He has served as an academic expert for numerous <br \/>governments and industries, such as Singapore IDA, Lenovo, UK EPSRC, UK DTI (InnovateUK), <br \/>and Research Ireland. In addition, he has extensive editorial experience, having served as an <br \/>editor for IEEE Distributed Systems from 2000 to 2005, and currently acting as an associate <br \/>editor of IEEE Transactions on Parallel and Distributed Systems and ACM Computing Surveys.<br \/>Professor Xu is currently the Steering Committee Chair of IEEE ISADS, a Steering Committee <br \/>member for several IEEE conferences, such as SRDS, ISORC, HASE, SOSE, JCC, and CISOSE, as <br \/>well as serving on the steering board of IEEE TC on BIS. He has also been a General Chair\/PC <br \/>Chair for various IEEE international conferences. With over 300 academic publications, <br \/>including papers in top-ranked IEEE and ACM Transactions, Professor Xu has received <br \/>international research prizes, such as the BCS\/AT&amp;T Brendan Murphy Prize and EU HiPEAC Transfer Award 2025, and led or co-led more than 20 research projects worth over \u00a330M. He is also the co-founder of two university spinouts specializing in data analytics and AI<br \/>software for optimizing data-centre performance, as well as in co-simulation and digital-twin <br \/>technologies. In addition, he is now the founding co-director of ACE3 AI Ltd.<\/p><\/div>  \n  \n  <div style=\"text-align:inherit;\">  \n    <span class=\"read_more\">\n      <span class=\"btn_txt_before_click\">Biography<\/span>\n      <span class=\"btn_txt_after_click\" style=\"display:none;\">close<\/span>\n    <\/span>  \n  <\/div>  \n<\/div>\n<!-- end Toggle Text Button -->\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bdecca1 e-con-full e-flex e-con e-parent\" data-id=\"bdecca1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-4b7dbed e-con-full e-flex e-con e-child\" data-id=\"4b7dbed\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-83b603f elementor-widget elementor-widget-image\" data-id=\"83b603f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/elementor\/thumbs\/wei-rfno03x09xl868fw6r409ny81f2sfe4cn4lck6pn4s.jpeg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6b2705a elementor-widget elementor-widget-text-editor\" data-id=\"6b2705a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Prof. Wei-Tek Tsai<\/strong><br \/>Arizona State University, USA<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-72fd7d1 e-con-full e-flex e-con e-child\" data-id=\"72fd7d1\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c49a809 elementor-widget elementor-widget-text-editor\" data-id=\"c49a809\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic: <strong>Software Engineering 3.0 (SE3) : A Foundational Change<\/strong><br \/><\/span><\/h5><div><span data-teams=\"true\"><span data-teams=\"true\"><b>Abstract: <\/b><\/span><\/span><span style=\"font-size: 16px;\"><span data-teams=\"true\">Software engineering is entering a third era (SE3), characterized by autonomous agentic systems that plan, execute, and self-verify complex tasks with minimal human intervention. This paper serves as both a research contribution and a discussion document for information sharing among practitioners, educators, and researchers navigating the SE3 transition. It traces the structural evolution of software engineering across three epochs\u2014SE1 (structured programming era), SE2 (cloud\/SaaS era), and SE3 (agentic era)\u2014and analyzes the 2026 economic disruption termed the \u201cSaaSpocalypse,\u201d which accelerated the shift from per-seat SaaS licensing to outcome-based Agent-as-a-Service (AaaS) delivery models. The paper reviews four representative enterprise SE3 platforms (Palantir AIP, DigitalOcean Gradient, <a id=\"menur6bt\" class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"http:\/\/c3.ai\/\" href=\"http:\/\/C3.ai\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"\u30ea\u30f3\u30af C3.ai\">C3.ai<\/a>, and ServiceNow), synthesizes a six-layer SE3 architectural reference topology, and introduces the Community-Based SE3 Framework (CSE3F)\u2014a governance architecture built around Domain Integrated Models (DIMs), Domain Information Collectors (DICs), and Meta-Agent Systems. CSE3F is governed by 13 engineering principles and enforced through a bidirectional telemetry feedback loop that continuously aligns agent execution with authoritative domain truth. To ground the framework concretely, two end-to-end illustrative case studies are presented: (1) a CRM\/sales automation scenario demonstrating governed proposal generation with cryptographic evidence trails, consent-enforced data governance, and human-in-the-loop approval gates; and (2) an IT Service Management (ITSM) incident resolution scenario illustrating SLA-aware agent serialization, KEDB-grounded root-cause analysis, and production CI protection.<\/span><\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-90fcaca e-con-full e-flex e-con e-parent\" data-id=\"90fcaca\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-fdb0176 e-con-full e-flex e-con e-child\" data-id=\"fdb0176\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-923c5da elementor-widget elementor-widget-image\" data-id=\"923c5da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2024\/04\/JerryGao-1-1.jpeg\" class=\"attachment-thumbnail size-thumbnail wp-image-224669\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fbb65ad elementor-widget elementor-widget-text-editor\" data-id=\"fbb65ad\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Prof. Jerry Zeyu Gao<\/strong><br \/>San Jose State University, USA<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e79aff0 e-con-full e-flex e-con e-child\" data-id=\"e79aff0\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9163589 elementor-widget elementor-widget-text-editor\" data-id=\"9163589\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic: Systems for AI Agents: Scaling, Performance, and Execution Support<br \/><\/span><\/h5><div><span data-teams=\"true\"><span data-teams=\"true\"><b>Abstract:<\/b><\/span><\/span><p>In this talk, Dr. Gao first presents his group\u2019s research work on different AI could platforms for smart cities in campus surveillance, smart EV charging services, smart city traffic, and smart vehicle road services. This covers diverse intelligence requirements, and models, and mobile cloud infrastructures and components. Next, Dr. Gao is going to review and report the-state-of-art research and technologies on smart autonomous vehicles, and discusses challenges and needs. Finally, Dr. Gao will share his vision and insights on building agentic mobile AI cloud platforms for smart autonomous vehicles, including diverse intelligence and agentic infrastructures.<\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-82aa65c e-con-full e-flex e-con e-parent\" data-id=\"82aa65c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-ea89546 e-con-full e-flex e-con e-child\" data-id=\"ea89546\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4a167da elementor-widget elementor-widget-image\" data-id=\"4a167da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/06\/Jangfan_Liu-e1782685903221-150x150.webp\" class=\"attachment-thumbnail size-thumbnail wp-image-226970\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a907bb elementor-widget elementor-widget-text-editor\" data-id=\"7a907bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Dr. Jangfan Liu<\/strong><br \/>Oklahoma State University, USA<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0be23c3 e-con-full e-flex e-con e-child\" data-id=\"0be23c3\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dde657a elementor-widget elementor-widget-text-editor\" data-id=\"dde657a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic: Integrating Artificial Intelligence into Physical Acoustics: Technical Overview and Future Horizons<br \/><\/span><\/h5><div><p><span data-teams=\"true\"><span data-teams=\"true\"><b>Abstract:\u00a0<\/b><\/span><\/span><span lang=\"EN-US\" style=\"font-family: 'Calibri',sans-serif;\">While modern smart sound technologies have achieved massive success in speech, audio, and communication applications, these consumer-facing solutions largely operate without embedding a fundamental understanding of physical acoustics\u2014leaving the application of AI to physical acoustics in an active, exploratory phase. This presentation provides an overview of this emerging landscape, introducing a structured framework that categorizes AI for physical acoustics into four distinct modes of interaction between physics knowledge and machine learning architectures. Through real-world examples, the presentation will examine the unique technical execution, key challenges, and critical engineering considerations inherent to each of these four categories. Bridging current paradigms with future horizons, the discussion will highlight how next-generation AI, specifically Large Language Models (LLMs) and advanced robotics, will transform industrial workflows and physical systems. Key frontiers explored will include context-based automated sound field synthesis (for both immersive entertainment applications and human comfort evaluation and improvement), intelligent acoustic design companions that actively optimize engineering workflows, and the integration of smart acoustic technologies onto robotic platforms for autonomous diagnostic and interaction capabilities.<\/span><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b492724 e-con-full e-flex e-con e-parent\" data-id=\"b492724\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-2aeb90f e-con-full e-flex e-con e-child\" data-id=\"2aeb90f\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1c4c6c7 elementor-widget elementor-widget-image\" data-id=\"1c4c6c7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"150\" height=\"150\" src=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/07\/DanielVu-e1783932389790-150x150.webp\" class=\"attachment-thumbnail size-thumbnail wp-image-227058\" alt=\"\" srcset=\"https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/07\/DanielVu-e1783932389790-150x150.webp 150w, https:\/\/cisose.fit.ac.jp\/2026\/wp-content\/uploads\/2026\/07\/DanielVu-e1783932389790.webp 155w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-73aceee elementor-widget elementor-widget-text-editor\" data-id=\"73aceee\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span data-teams=\"true\">Speaker: <strong>Daniel Vu<\/strong> <\/br>\nFounder &#038; CEO, SotaTek JSC, Japan<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2712166 e-con-full e-flex e-con e-child\" data-id=\"2712166\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-be95562 elementor-widget elementor-widget-text-editor\" data-id=\"be95562\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<h5><span data-teams=\"true\">Topic: Empowering Organizations with AI Agents: Practical Social Implementation in Business and Education<br><\/span><\/h5>\n<div>\n<p><span data-teams=\"true\"><span data-teams=\"true\"><b>Abstract:&nbsp;<\/b><\/span><\/span><span style=\"font-style: inherit; font-weight: inherit;\">Many organizations face critical challenges caused by labor shortages and information overload. We believe that the next stage of artificial intelligence lies beyond AI as a mere tool and toward AI as a collaborative partner capable of autonomously accomplishing complex tasks. In this presentation, we introduce practical implementations of this vision, including NoteX, an autonomous meeting agent that significantly reduces post-meeting administrative work, and Saydi, a translation platform that accelerates collaboration among global teams. These solutions demonstrate how our global development organization of more than 1,500 engineers enables the rapid deployment of AI technologies into real-world business and educational environments.<\/span><\/p><p><span style=\"font-style: inherit; font-weight: inherit;\">We place particular emphasis on a Guardrail Architecture that ensures AI reliability through engineering principles, as well as the concept of Ethics by Design, in which humans remain responsible supervisors while collaborating with AI. Based on a multi-agent infrastructure that enables AI agents to cooperate autonomously, we present a roadmap toward a future of human\u2013AI co-creation and discuss our vision of making the Autonomous Enterprise a widely adopted organizational model by 2030.<\/span><\/p>\n<\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>CISOSE Opening Remarks Speaker: Prof. Hironori Washizaki Waseda University, Japan Topic:\u00a0 Impact of IEEE Computer Society in Advancing Technologies, including [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-224607","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/cisose.fit.ac.jp\/2026\/wp-json\/wp\/v2\/pages\/224607","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cisose.fit.ac.jp\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cisose.fit.ac.jp\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cisose.fit.ac.jp\/2026\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/cisose.fit.ac.jp\/2026\/wp-json\/wp\/v2\/comments?post=224607"}],"version-history":[{"count":97,"href":"https:\/\/cisose.fit.ac.jp\/2026\/wp-json\/wp\/v2\/pages\/224607\/revisions"}],"predecessor-version":[{"id":227064,"href":"https:\/\/cisose.fit.ac.jp\/2026\/wp-json\/wp\/v2\/pages\/224607\/revisions\/227064"}],"wp:attachment":[{"href":"https:\/\/cisose.fit.ac.jp\/2026\/wp-json\/wp\/v2\/media?parent=224607"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}