Associate Professor |School of Business, Division of Information Systems & Management Engineering Research Group
Qiao-Chu He joined the SUSTech Buisness School in 2019. His main research area is operations management, and in particular, service and information systems. Applications domains include smart-cities OM, innovative marketplace, socially responsible and sustainable operations. His major research methodologies include games with incomplete information, stochastic models, applied optimization.
Personal Profile
Employment History:
2018-2019 Visiting Assistant Professor Hong Kong University of Science and Technology
2016-2019 Assistant Professor University of North Carolina, Charlotte, USA
2015 Data Scientist @WalmartLabs, Sunnyvale, USA
2014 Research Intern Schlumberger-Doll Research, Boston, USA
Education:
2011-2016 Ph.D. in Operations Research, University of California, Berkeley, USA
2007-2011 B.Eng., Tsinghua University, Beijing
Research
Operations Management
Teaching
At SUSTech:
2019 Fall Mathematical Foundations for FinTech
2019 Fall 2020 Fall Data-Driven Service Operations Management
2021 Spring Advanced E-Commerce and Management
2021 Fall Smart Supply Chain Management
2022 Spring Applied Stochastic Process
At HKUST:
IEDA 4130 Simulation, Instructor
IEDA 3302 E-Commerce Technology and Applications
IEDA 4410 Data-Driven Supply Chain Management, Instructor
IEDA 4200 Design of Logistics and Production Systems, Instructor
At University of North Carolina, Charlotte:
SEGR 3105 Computational Method for Engineers II (Data Analytics in R), Instructor
SEGR 2105 Computational Method for Engineers I (Java Programming and Algorithms), Instructor
At University of California, Berkeley:
IEOR 252 Service Operation Management (Graduate), Teaching Assistant
IEOR 241 Data Analysis and Risk Management (Graduate), Graduate Student Instructor
IEOR 263 Applied Stochastic Process (Ph.D. Course), Graduate Student Instructor
IEOR 267 Queueing Theory (Ph.D. Course), Teaching Assistant
IEOR 172 Probability Theory (Undergraduate), Graduate Student Instructor
IEOR 268 Applied Dynamic Programming (Graduate), Teaching Assistant
Publications Read More
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“High-Dimensional Linear Regression via Implicit Regularization”, Peng Zhao, Qiao-Chu He and Yun Yang. Biometrika, scientifically accepted.
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“Smart Navigation via Strategic Communications in a Mixed Autonomous Paradigm”, with Ailing Xu, Yonghui Chen and Ying-Ju Chen. Under minor revision at Production and Operations Management.
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“Service Operations for Mixed Autonomous Driving: Lane Design and Cross Subsidy”, with Lan Lu, Zheng Zhu, and Pengfei Guo. Production and Operations Management, accepted.
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Zhi Pei, Lu Zhao, Xu Dai and Qiao-Chu He. “Dynamic Re-balancing Strategy in Free-Float Bicycle Sharing Systems: Orbit Queues and Two-Sided Matching.” Service Science, accepted.
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Competition between the transportation network company and the government with subsidies to public transit riders, with Zheng Zhu, Ailing Xu and Hai Yang. Transportation Research Part E: Logistics and Transportation Review, 2021.
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“Competitive Spatial Pricing for Urban Parking Systems: Network Structures and Asymmetric Information,” with Yuguang Wu and Xin Wang. IISE Transactions, accepted. Available at SSRN: https://ssrn.com/abstract=3293159
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“Beyond Rebalancing: Crowd-Sourcing and Geo-Fencing for Shared-Mobility Systems,” with Tiantian Nie, Yun Yang and Zuo-Jun Shen. Production and Operations Management, accepted. https://onlinelibrary.wiley.com/doi/10.1111/poms.13442
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“Integrated Design of Unmanned Aerial Mobility Network: A Data-Driven Risk-Averse Approach,” with Wenjuan Hou, Tao Fang and Zhi Pei. Accepted at International Journal of Production Economics, 2021. Available at: http://arxiv.org/abs/2004.13000
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“Equilibrium analyses and operational designs of a coupled market with substitutive and complementary ride-sourcing services to public transits“, with Jintao Ke, Zheng Zhu and Hai Yang. Transportation Research Part E: Logistics and Transportation Review, 2021.
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“Poverty Mitigation via Solar Panel Adoption: Smart Contracts and Targeted Subsidy Design,” with Qiaozhen Guo and et al., Omega, the International Journal of Management Science, 2021.
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Zhuo Feng, Qiao-Chu He and Guangrui Ma. “Mitigating poverty through solar panels adoption under public-private partnership,” with Zhuo Feng and Guangrui Ma. Decision Science, 2021.
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“On-demand service delivery under asymmetric information: priority pricing, market selections and horizontal substitutions,” with Xiaoshuai Fan, Ying-Ju Chen and Hai Yang. Accepted at International Journal of Production Economics, 2021.
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“Smart Energy Storage Management via Information System Design”, with Yun Yang, Lingquan Bai and Baosen Zhang. Energy Economics (2020).
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“A better buy-one-give-one business model,” with Pi-Ying Yen, Ying-Ju Chen. Naval Research Logistics (2020).
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Qiao-Chu He, Ying-Ju Chen, and Rhonda Righter. “Learning with projection effects in service operations systems.” Production and Operations Management, (2020).
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Zhong, Xiang, Ailing Xu, Qiaochu He, and Aditya Mahadev Prakash. “Modeling and Analysis of E-Consults in Primary-Specialty Care Referrals.” IEEE Transactions on Automation Science and Engineering (2020).
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Aditya Prakash, Qiao-Chu He and Xiang Zhong. “Incentive-driven readmission management with patients facing compliance barriers.” IIE Transactions on Healthcare Systems Engineering (2019).
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Qiao-Chu He and Tao Hong. “Integrated facility location and production scheduling in multi-generation energy systems.” Operations Research Letters 46, no. 1 (2018): 153-157.
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Qiao-Chu He, Ying-Ju Chen and Zuo-Jun Shen. “On the formation of producers’ information-sharing coalitions,” Production and Operations Management (2018).
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Qiao-Chu He, and Ying-Ju Chen. “Revenue-maximizing pricing and scheduling strategies in service systems with flexible customers.” Operations Research Letters 46, no. 1 (2018): 134-137.
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Qiao-Chu He, and Ying-Ju Chen. “Dynamic pricing of electronic products with consumer reviews.” OMEGA, the International Journal of Management Science (2017).
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Qiao-Chu He. “Virtual items trade in online social games.” International Journal of Production Economics 187 (2017): 1-14.
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Yang, Yun, Qiaochu He, and Xiaolin Hu. “A compact neural network for training support vector machines.” Neurocomputing 86 (2012): 193-198.
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Zhang et al. “A study on the method for cleaning and repairing the probe vehicle data.” IEEE Transactions on Intelligent Transportation Systems 14, no. 1 (2013): 419-427.
Selected Working Papers:
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“Incentivizing Compliance Behaviors with Personal Protective Equipments Adoption”. With Ailing Xu, Ying-Ju Chen and Zuo-Jun Shen, Under revision at IISE Transaction.
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“Algorithmic Transparency in Recommendation Systems for Online Service Operations Platform”, with Ailing Xu and et al., submitted.
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“Optimal Project Orchestration for Conspicuous Donation in Crowd-funding platform”, with Wenjuan Hou, Lu Hsiao and Ying-Ju Chen, submitted.
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“Decentralized Scheduling in Edge Computing Paradigm: End-to-End Decision Analytics and Price-of-Anarchy”, with Zeyu Zhang, Cong Chen and Zuo-Jun Shen, submitted.
Lab members Read More
Join us
FEBA invites applications for young fellows, in management science, operations management, supply chain management, information systems, marketing, organization, strategy, business analytics/intelligence, and FinTech, etc.. Applicants from statistics, computer sciences, information technology, and other business related areas are also welcome. FEBA also welcomes established or young faculty to apply for visiting assistant/ associate/full professor positions. Applicants should be a promising or established scholar with a doctoral degree (or close to completion) from an established university. The appointee will be expected to (i) publish research papers in top-tier journals in related fields, and (ii) have ability to teach postgraduate and undergraduate courses. Salary will be competitive, commensurate with qualifications and experience. There are additional allowances provided by Shenzhen city or Guangdong province for eligible appointees. Research Fellow can be transferred to tenure track faculty based on performance. The terms mentioned herein are for reference only and are subject to update in due time.
Initial Inquiry/Screening
A full up-to-date C.V. and copies of one representative research publication should be sent to the Search and Appointment Committee of FEBA, SUSTech [email: heqc at sustech.edu.cn]. Only shortlisted candidates will be notified for further interview.
FEBA Profile
FEBA is fast-growing with four divisions including Applied Economics and Finance, Management Engineering & Information Systems, Business Administration, and Public Policy and Administration. SUSTech (including FEBA) offers Master and Doctor programs as well as joint Master and Doctor programs collaborating with top-tier international research universities of the world, including HEC Paris, UBC (University of British Columbia, Canada), Warwick Business School (UK), University of Queensland (UQ, Australia), Fox Business School of Temple University (USA), National University of Singapore (NUS, Singapore), HKUST, etc. FEBA has reached a strategic partnership with HEC Paris that has been ranked the best business school in France and among the top in the world. HEC Alumni has been ranked by The Economist as the 2nd most powerful business school alumni network in the world.
About Southern University of Science and Technology (SUSTech)
The University Profile SUSTech was officially established in April 2012. It is a public university funded by Shenzhen city and the chair of the university council is the mayor. Shenzhen has developed from a small fishing village 40 years ago to a modern metropolitan city with more than 20 millions in population. It is regarded as China’s Silicon Valley where numerous world’s well-known corporations are headquartered here, including Huawei, Foxconn, Tencent, ZTE, BYD, etc. In the year 2017, its GDP has exceeded Hong Kong’s for the first time in history. Shenzhen has been ranked to be the No. 1 competitive city in the Greater China region and No. 6 in the world, by the United Nations Human Settlements Program and Chinese Academy of Social Sciences. Lonely Planet has ranked Shenzhen the second most attractive city in the world for the 2019 Travel-List. SUSTech is a pioneer in higher education innovation of China, covering five hundred acres of wooded landscape in the picturesque Nanshan (Mountain South) area with an idyllic environment suitable for learning and scholarship. It is a unique university in mainland China where English is largely adopted as a teaching language across campus. With the strong support from Shenzhen city, SUSTech has developed rapidly and been approved to offer Bachelor, Master and Doctorate Degree programs by the Ministry of Education of China. SUSTech has been officially ranked among the top four universities worldwide in the Nature Index 2018 (Rising Stars) that tables the top 200 institutions of the world in September 2018. In addition, for the world’s young universities established after 1988, the Nature Index 2018 (Rising Stars) reported that SUSTech, being officially set up in 2012, was ranked as No.1, overtaking Hong Kong University of Science and Technology (HKUST), which was founded in 1991 and ranked as No.9. According to the Times Higher Education World University Rankings 2019, SUSTech, being ranked for the first time in its six years’ establishment history, was ranked No.8 among the listed mainland China universities.