Keynote Speakers – IEEE CISOSE-2026

CISOSE Opening Remarks

Speaker: Prof. Hironori Washizaki
Waseda University, Japan

Topic: Impact of IEEE Computer Society in Advancing Technologies, including SWEBOK and Service Engineering

Abstract:

CISOSE Keynote Speakers

Speaker: Professor Jianwei Zhang
University of Hamburg, Germany

Topic: Multimodal Embodied AI: Toward Intelligent General-Purpose Robots for Humanity

Abstract: 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’s 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.

Speaker: Prof. Jianhua Ma
Hosei University, Japan

Topic: From Personal Big Data to Personalized Intelligence

Abstract: 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.

Speaker: Prof. Jianjun Zhao
Kyushu University, Japan

Topic: Quantum Software Engineering: From Quantum Algorithms to Real Software

Abstract: 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.

Biography

Speaker: Assoc. Prof. Yutaka Yamaguti Fukuoka Institute of Technology, Japan

Topic: Functional Differentiation in Brains and Neural Networks

Abstract:Functional differentiation—the emergence of distinct roles among neurons and neural populations—is 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—coupled-oscillator networks, evolutionary reservoir computers, hippocampal models, and recurrent neural networks trained with mutual-information constraints—linked 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.

Speaker: Dr. Gordon Gu
Board Director – ADINNO Inc.

Topic: New Economy Based on Advanced Air Mobility & Low Altitude Driven by the New tech 6G AI / eVTOL

Abstract: 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.

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.

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— an integrated cluster of nine cities surrounding Shanghai — by 2035.

FTS Summit Keynote Speaker

Speaker: Prof. Jie Xu
University of Leeds, UK

Topic: Systems for AI Agents: Scaling, Performance, and Execution Support

Abstract: 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 hallucinations. The presentation will also examine the critical system infrastructure and architectural support required for the development and deployment of AI agents.

Biography: 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
co-Leader of the EPSRC-funded UK National Hub in Clouds and Distributed Computing, and
Head of the Distributed Systems and Services (DSS) Theme at Leeds. Xu has worked in the
field of Distributed Computing Systems for over forty years, engaging closely with industrial
leaders in the field. He received a PhD in Computing Science from the University of
Newcastle upon Tyne, and was Professor of Distributed Systems at the University of Durham
before joined Leeds in 2003.

Professor Xu is an executive member of UKCRC (UK Computing Research Committee) and a
Turing Fellow in AI and Data Science. He has served as an academic expert for numerous
governments and industries, such as Singapore IDA, Lenovo, UK EPSRC, UK DTI (InnovateUK),
and Research Ireland. In addition, he has extensive editorial experience, having served as an
editor for IEEE Distributed Systems from 2000 to 2005, and currently acting as an associate
editor of IEEE Transactions on Parallel and Distributed Systems and ACM Computing Surveys.
Professor Xu is currently the Steering Committee Chair of IEEE ISADS, a Steering Committee
member for several IEEE conferences, such as SRDS, ISORC, HASE, SOSE, JCC, and CISOSE, as
well as serving on the steering board of IEEE TC on BIS. He has also been a General Chair/PC
Chair for various IEEE international conferences. With over 300 academic publications,
including papers in top-ranked IEEE and ACM Transactions, Professor Xu has received
international research prizes, such as the BCS/AT&T Brendan Murphy Prize and EU HiPEAC Transfer Award 2025, and led or co-led more than 20 research projects worth over £30M. He is also the co-founder of two university spinouts specializing in data analytics and AI
software for optimizing data-centre performance, as well as in co-simulation and digital-twin
technologies. In addition, he is now the founding co-director of ACE3 AI Ltd.

Biography

Speaker: Prof. Wei-Tek Tsai
Arizona State University, USA

Topic: Software Engineering 3.0 (SE3) : A Foundational Change

Abstract: 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—SE1 (structured programming era), SE2 (cloud/SaaS era), and SE3 (agentic era)—and analyzes the 2026 economic disruption termed the “SaaSpocalypse,” 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, C3.ai, and ServiceNow), synthesizes a six-layer SE3 architectural reference topology, and introduces the Community-Based SE3 Framework (CSE3F)—a 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.

Speaker: Prof. Jerry Zeyu Gao
San Jose State University, USA

Topic: Systems for AI Agents: Scaling, Performance, and Execution Support

Abstract:

In this talk, Dr. Gao first presents his group’s 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.

Speaker: Dr. Jangfan Liu
Oklahoma State University, USA

Topic: Integrating Artificial Intelligence into Physical Acoustics: Technical Overview and Future Horizons

Abstract: 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—leaving 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.

Speaker: Daniel Vu
Founder & CEO, SotaTek JSC, Japan

Topic: Empowering Organizations with AI Agents: Practical Social Implementation in Business and Education

Abstract: 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.

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–AI co-creation and discuss our vision of making the Autonomous Enterprise a widely adopted organizational model by 2030.