Keynote Speaker

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Abstract: Hironori has led the evolution project of the Guide to the Software Engineering Body of Knowledge (SWEBOK Guide). This talk first provides an overview of the SWEBOK Guide and its latest updates, including a new topic, AI and Software Engineering (SE). Then, as a part of AI SE, the talk presents the machine learning (ML) software engineering and the security continuum concept, consisting of dimensions to deal with challenges of the breadth of the ML/AI security risk sustainably and systematically under the emerging context of the computing continuum as well as continuous engineering. The talk also presents promising solutions, including software engineering patterns for ML/AI and a multi-view modeling framework for ML systems with the ML pipeline integration to address the probabilistic nature of ML and its experimentative development approach. The framework provides an integrated platform between the modeling environment with ML patterns and ML training, performance monitoring, repair pipelines, and security risk management.

BIO:  Prof. Dr. Hironori Washizaki is a Professor and the Associate Dean of the Research Promotion Division at Waseda University in Tokyo and a Visiting Professor at the National Institute of Informatics. He also works as an Outside Director of eXmotion. He currently serves as IEEE Computer Society President-Elect and has been elected IEEE Computer Society 2025 President. He has led software engineering research and ICT professional and educational activities, including developing the IEEE-CS's Guide to the Software Engineering Body of Knowledge (SWEBOK Guide). He has led many academia-industry joint research and large-funded projects in software design, reuse, traceability, quality assurance, and machine learning engineering. Recent achievements include IoT design patterns and machine learning design patterns. He leads a professional IoT/AI/DX education project called SmartSE. http://www.washi.cs.waseda.ac.jp/.