Dr. Huang, Hao

PositionAssistant Professor
Office2515R, Ext.2510
Laboratory(none)
E-Mailhaohuang@saturn.yzu.edu.tw
Personal Websitehttp://layout.iem.yzu.edu.tw/teacher3.html

Education

2016Ph.D. in Industrial and Systems Engineering, University of Washington, USA

Experience

2017.2-PresentAssistant Professor, Department of Industrial Engineering and Management, Yuan-Ze University,Taiwan, R.O.C.

Research & Interests

Simulation Optimization
Simulation
Operations Research
Healthcare Management Decision Analysis

Publications and Awards

Journal Papers

1.    Giulia Pedrielli;Tanmay Khandait;Surdeep Chotaliya;Quinn Thibeault;Hao Huang;Mauricio Castillo-Ef;Georgios Fainekos,Part-X: A Family of Stochastic Algorithms for Search-Based Test Generation with Probabilistic Guarantees,arXiv (Electronic Journal), Vol. 2110, pp 1~17 ( 2021/10 )

2.    Yuankun Li;Hao Huang;Zelda B. Zabinsky;Shan Liu,Optimizing Implementation of Hepatitis C Birth-Cohort Screening and Treatment Strategies,MDM Policy & Practice, Vol. 2, pp 2381468316686795~2381468316686795 ( 2017/01 )

Conference Papers

1.    Hao Huang;Shi-jun Huang, Optimal Waste Water Dosage Considering Efficacy and Cost, 2022 Joint Workshop of PNU, PKNU and YZU. ( 2022/01/17 )

2.    Pariyakorn Maneekul;Hao Huang;Danielle F. Morey;Giulia Pedrielli;Zelda B. Zabinsky, Multi-level Probabilistic Branch and Bound with Importance Sampling and Surrogate Modeling, INFORMS ANNUAL MEETING 2022 ( 2022/10/16 )

3.    Hao Huang;Min Hsu Wang, Hyperparameter Tuning for Waste Water Processing Forecast Time-series Models, The 22nd Asia Pacific Industrial Engineering and Management Systems ( 2022/11/06 )

4.    Hao Huang;Pariyakorn Maneekul;Danielle F. Morey;Zelda B. Zabinsky;Giulia Pedrielli, A Computational Study of Probabilistic Branch and Bound with Multilevel Importance Sampling, Winter SImulation Conference 2022 ( 2022/12/11 )

5.    Chih Jen Hsu;Chien Wen Lai;Hao Huang;Yu Ping Ku;Rong Yi Chen;Feng Tuan Hsieh;Pei-Chun Chou, Optimize Elevator Group Control and Transportation Efficiency with Discrete-event Simulation, 2022 6th International Conference on Medical and Health Informatics. Virtual ( 2022/05/13 )

6.    Giulia Pedrielli;Hao Huang;Zelda B. Zabinsky, Using Gaussian Processes to Automate Probabilistic Branch & Bound for Global Optimization, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). France ( 2021/08/23 )

7.    Hao Huang;Chih Hsien Cheng, Machine Learning Hyperparameter Optimization With Single Observation Probabilistic Branch And Bound, INFORMS ANNUAL MEETING 2021. USA ( 2021/10/24 )

8.    Hao Huang;Giulia Pedrielli;Yi Chu;Zelda B. Zabinsky,Global Optimization With Gaussian Process And Probabilistic Branch And Bound,INFORMS ANNUAL MEETING 2020,線上虛擬會議 ( 2020/11/07 )

9.    Hao Huang, A Single Observation Approach for Simulation Optimization with Probabilistic Branch and Bound, The 6th International Conference on Industrial Engineering and Applications, 2019/04/12

10.    Zelda B Zabinsky;Ting-Yu Ho;Hao Huang, Integrating Heuristics and Approximations into a Branch and Bound Framework, IEEE CASE International Conference on Automation Science and Engineering ( 2019/08/22 )

11.    Zelda B Zabinsky;Giulia Pedrielli;Hao Huang, A Framework for Multi-fidelity Modeling in Global Optimization, The Fifth International Conference on Machine Learning, Optimization, and Data Science ( 2019/09/10 )

12.    Hao Huang;Chor-Kheng Lim;Tien-Lung Sun;Chin Mei Chou;I-chun Liu, Evaluation of Elderly Gaming Devices Using OpenPose, The 4th International Conference on Ambient Intelligence & Ergonomics in Asia (AmI&E 2019) ( 2019/10/04 )

13.    Hao Huang, Multi-Objective Two-Stage Stochastic Programming with Probabilistic Branch and Bound and Monte Carlo Simulation, INFORMS Annual Meeting 2019 ( 2019/10/20 )

14.    Hao Huang;I-Chih Chen, Probabilistic Branch and Bound with Evolutionary Algorithms for Simulation Optimization, The 6th East Asia Workshop on Industrial Engineering ( 2019/11/22 )

15.    Hao Huang;Chih-Wei Cheng;Kuan-Lin Chen, Multiple Objective Emergency Department Resource Allocation Using Multiple Objective Probabilistic Branch and Bound, The 20th Asia Pacific Industrial Engineering and Management Systems (APIEMS 2019) ( 2019/12/02 )

16.    Hao Huang;Yu Chun Chen, Semiconductor manufacturing monitoring mechanism using variational autoencoder and convolutional neural network, The 20th Asia Pacific Industrial Engineering and Management Systems (APIEMS 2019) ( 2019/12/02 )

17.    Chang, Y. L.;Chor-Kheng Lim;Chin Mei Chou;Hao Huang;Tien-Lung Sun;I-chun Liu, Using Facial Emotion Recognition to Observe the Emotional Changes of the Elderly Playing the Pillow Type Device, The 20th Asia Pacific Industrial Engineering and Management Systems (APIEMS 2019) ( 2019/12/02 )

18.    Hao Huang, A Simulation Optimization Framework Combining Probabilistic Branch and Bound with Metaheuristic Algorithms, 2018 INFORMS International Conference, 2018/06/17

19.    Hao Huang, Modeling and Analyzing Seasonal Influenza Spread and Policy Design for Taiwan with Agent Based Simulation, 2018 INFORMS International Conference, 2018/06/17

20.    Hao Huang, Multiple Objective Probabilistic Branch and Bound for Multi-fidelity Simulation Optimization, INFORMS Annual Meeting 2018, USA, 2018/11/04

21.    Hao Huang, A Simulation Optimization Framework Combining Probabilistic Branch and Bound with Metaheuristic Algorithms, 2018 INFORMS INTERNATIONAL CONFERENCE, Taiwan(2018/06/17)

22.    Hao Huang, Analyzing the Spread and Vaccination Policies of Seasonal Influenza at Taiwan Using Agent-based Simulation, The 4th East Asia Workshop on Industrial Engineering, Japan(2017/11/02)

23.    Hao Huang, Modeling and Analyzing Seasonal Influenza Spread and Policy Design for Taiwan with Agent Based Simulation, 2018 INFORMS INTERNATIONAL CONFERENCE, Taiwan(2018/06/17)

24.    David Linz;Hao Huang;Zelda Zabinsky, Multi-Fidelity Simulation Optimization with Level Set Approximation Using Probabilistic Branch and Bound, Winter Simulation Conference 2017, U.S.A.(2017/12/03)

25.    Hao Huang, The Computational Benefit of Level Set Approximation for Multi-Fidelity Simulation Optimization Problems, 2017第十三屆台灣作業研究學會年會暨學術研討會(ORSTW 2017), Taiwan(2017/10/14)

26.    David Linz;Hao Huang;Zelda Zabinsky,A Quantile-based Nested Partition Algorithm for Black-box Functions on a Continuous Domain,Winter Simulation Conference 2016,U.S.A. ( 2016/12/11 )

Books & Others

1.    Zelda B Zabinsky;Hao Huang, A Partition-Based Optimization Approach for Level Set Approximation: Probabilistic Branch and Bound, Women in Industrial and Systems Engineering: Key Advances and Perspectives on Emerging Topics ( 2020/01 )