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Zakka Ugih Rizqi is a researcher focused on providing realistic decision-making frameworks in complex domains. His work aims to deliver optimal solutions through accurate modeling closely aligned with real systems, accounting for uncertainty and dynamic complexities. His research interests are primarily centered around fusion optimization, multi-method simulation, and data science, with key applications in supply chain management, energy systems, and smart manufacturing. Zakka is currently engaged in the development of industrial metaverse technologies aimed at future aseptic production systems, striving to integrate innovative solutions in automated storage and retrieval systems. He holds a Ph.D. from the National Taiwan University of Science and Technology, emphasizing multi-objective simulation-optimization frameworks. His efforts contribute significantly to advancements in research methodologies within the fields of smart manufacturing and energy systems.
University of Tokyo • Tokyo, Japan
Visiting researcher focusing on advanced research and collaboration in industrial engineering.
Requirements apply generally to Master's programs across departments including Sociology, Business, and Engineering at Aalborg University.