Chia-Ho Ou – 歐家和
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Professor, Graduate School of Information Sciences Professor, Department of Computer Science and Information Engineering |
News
Guest Editor, Special Issue on Quantum AI, Quantum Annealing, and Quantum-Inspired Applications, SPIN, 2026.
C. H. Ou, C.-C. Yang, M. Ohzeki, C.-Y. Chen, “Hybrid Reverse Annealing for Carbon-Efficient Truck-Drone Delivery via Scalable QUBO Decomposition,” accepted for publication in Proceedings of the IEEE International Conference on Quantum Computing and Engineering (QCE 2026), Sept. 2026.
C. H. Ou, C.-Y. Wu, “Beyond Best Samples: Reliability-Aware QUBO Benchmarking for Policy-Constrained Energy Dispatch,” accepted for publication in Proceedings of the IEEE International Conference on Quantum Computing and Engineering (QCE 2026), Sept. 2026.
C. H. Ou, H.-M. Ni, M. Ohzeki, “PCA-Decomposed QUBO Assignment for Non-Repeating Photomosaic Generation,” accepted for publication in Proceedings of the IEEE International Conference on Quantum Computing and Engineering (QCE 2026), Sept. 2026.
C. H. Ou, Y.-T. Hsu, Z.-R. Lai, Y.-C. Sung, Y.-C. Liaw, “QUBO-Based Multi-Objective Diet Optimization with Quantum-Inspired and Hybrid Solvers,” accepted for publication in Proceedings of the IEEE International Conference on Quantum Computing and Engineering (QCE 2026), Sept. 2026.
L.-P. Hung, C.-C. Lin, Z.-J. Wu, C. H. Ou, “Recent Advances in Quantum Computing for Healthcare and Clinical Decision Support,” accepted for publication in IEEE Nanotechnology Magazine, July 2026.
C. H. Ou, J.-C. Liao, C.-Y. Huang, O. K. Lee, “Hybrid Artificial Intelligence and Quantum Annealing as an Optimization Layer in Drug Discovery,” accepted for publication in Patterns, June 2026.
“Equity-Aware AED Placement via QUBO: Benchmarking Classical, Quantum-Inspired, and Quantum Solvers,” Adiabatic Quantum Computing Conference (AQC 2026), June. 2026.
“QUBO-Based Multi-Objective Energy Dispatch Optimization for Taiwan's Power System,” Adiabatic Quantum Computing Conference (AQC 2026), June. 2026.
“Integrating Educational Psychology for Personal Learning Task Scheduling Optimization: Maximizing Completion Efficiency and Balancing Cognitive Load,” Adiabatic Quantum Computing Conference (AQC 2026), June. 2026.+
“Quantum-Inspired Annealing for Deep-Sea Fishing Route Optimization with Dynamic Sea-State and Load-Dependent Fuel Costs,” Adiabatic Quantum Computing Conference (AQC 2026), June. 2026.
“Transportation Optimization for Elderly Day-Care Services in Eastern Taiwan Using Quantum Annealing,” Adiabatic Quantum Computing Conference (AQC 2026), June. 2026.
“Annealing for Elementary School Teacher Scheduling,” Adiabatic Quantum Computing Conference (AQC 2026), June. 2026.
C. H. Ou and R. Franco, “QUBO-Based Wildfire Evacuation Host Community Selection Using a Quantum-Inspired GPU Annealer,” accepted in Proceedings of the IEEE International Conference on Quantum Communications, Networking, and Computing (QCNC 2026), Apr. 2026.
C. H. Ou, P.-Y. Chu, T. H. Tsai, Y. Chen, C.-Y. Chen, “A High-Performance Digital QUBO Solver for Quantum-Inspired Optimization,” IEEE Nanotechnology Magazine, vol. 20, no. 1, pp. 32-42, Feb. 2026. https://doi.org/10.1109/MNANO.2025.3638505
Contact
歐家和
國立屏東大學 資訊學院 資訊工程學系
教授兼研發長
日本 東北大学 大学院情報科学研究科
教授
900392 屏東市民生東路51號
電話: 08-7663800 分機 14000 / 31660
傳真: 08-7223962
E-mail: cho [@] mail.nptu.edu.tw