Joint Workshop on Management Engineering and Analytics

Friday, October 9, 2026· 10:00–12:00 / 14:00–16:00· Ookayama Campus, Tokyo

Workshop Overview

The workshop features research presentations and discussion by researchers affiliated with National Cheng Kung University and Institute of Science Tokyo, covering management engineering, analytics, optimization, artificial intelligence, and related areas. Each presentation is scheduled for 20 minutes.

Date
Friday, October 9, 2026
Time
10:00–12:00 and 14:00–16:00
Venue
Large Conference Room, 10th Floor, West Building 8E, Institute of Science Tokyo
東京科学大学 西8号館E棟10階 大会議室

Program

Speakers alternate between NCKU and Science Tokyo, with presentations on related topics scheduled close to one another.

Time Presenter Affiliation Presentation Title
Morning Session
10:00–10:20Hao TiengNCKUSelf-Adaptive Dual-Agent Control System for Net Zero using Reinforcement Learning and Generative AI
10:20–10:40Yuya HikimaScience TokyoZeroth-Order Gradient Estimators under Decision-Dependent Noise
10:40–11:00Jen-Yen LinNCKULearning under Feature Distribution Ambiguity: A Distributionally Robust CVaR Support Vector Machine
11:00–11:20Ken KobayashiScience TokyoCardinality-constrained distributionally robust portfolio optimization
11:20–11:40I-Lin WangNCKUNetwork Optimization: Sensor Placement and Influence Scheduling
11:40–12:00Godai AzumaScience TokyoStructure-based Conditions for Tight Conic Relaxations in Rank-One Matrix Completion
12:00–14:00Lunch break
Afternoon Session
14:00–14:20Hei-Chia WangNCKUFrom Cluster-Based IoT Sensing to Agentic AI: An AIoT Framework for Orchid Greenhouse Management
14:20–14:40Makoto YamashitaScience TokyoEfficient Dual Spectral Projected Gradient Methods for Hidden-Clustering Log-Det Semidefinite Program
14:40–15:00Wei-Tsong WangNCKUThe Application of Game-based learning, GenAI use, and Visual Metaphor Pedagogy in Management Education
15:00–15:20Ying ChenScience TokyoSelf-Serving Attribution Bias and Corporate Acquisitions
15:20–15:40Cheng-Han WuNCKUPlatform Openness with a Shared Technology Stock: A Differential Game
15:40–16:00Akiyoshi ShiouraScience TokyoExtension of Excess Demand Ascending Auction to Multi-Demand Model by Discrete Convex Analysis Approach

Speakers

NCKU — National Cheng Kung University

  • Jen-Yen Lin
    SCM, Scheduling & Inventory, Mathematical Programming
  • Hao Tieng
    AI, Energy-Saving & Carbon Reduction, Smart Medicine
  • Hei-Chia Wang
    Text Mining, Deep Learning, Knowledge Discovery
  • I-Lin Wang
    Network Optimization, Algorithm Design, Scheduling & Routing
  • Wei-Tsong Wang
    E-Commerce, Knowledge Management, Learning Performance
  • Cheng-Han Wu
    SCM, Sustainable Manufacturing, Pricing

Science Tokyo — Institute of Science Tokyo

  • Godai Azuma
    Mathematical Optimization, Semidefinite Relaxation, Polynomial Optimization
  • Ying Chen
    Financial Engineering, Text Mining, Causal Inference, Intelligent Informatics
  • Yuya Hikima
    Stochastic Optimization, Zeroth-Order Optimization, Machine Learning
  • Ken Kobayashi
    Mixed-Integer Optimization, Conic Optimization, Machine Learning Applications
  • Akiyoshi Shioura
    Combinatorial Optimization, Mathematical Optimization, Discrete Optimization
  • Makoto Yamashita
    Mathematical Optimization, Semidefinite Programming, Continuous Optimization

Access

West Building 8E is Building 21 on the Ookayama Campus map. The walk from the central ticket gate of Ookayama Station to the building takes approximately ten minutes.

  1. Leave Ookayama Station through the central ticket gate and walk toward the Science Tokyo main gate.
  2. After entering the campus, proceed toward West Building 8E (Building 21).
  3. The entrance on the slope side is at the third-floor level. Take the elevator to the 10th floor.

Official Ookayama Campus map · Science Tokyo access information