Xiaojun "Gene" Shan
Permanent URI for this collectionhttps://hdl.handle.net/10657.1/1656
Dr. Xiaojun (Gene) Shan is an Assistant Professor of Engineering Management at University of Houston-Clear Lake. Dr. Shan's research interests are in the areas of Healthcare systems engineering, modeling, applied operations research/optimization, continuous process improvement, health information systems, data mining and big data analytics, with emphasis on operational excellence; Mathematical modeling (with focus on game-theoretic modeling) of complex systems (e.g., health care delivery, defense and electricity systems); Risk management against man-made and natural disasters.
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Item Evaluating Different Proposed Scheduling Strategies with Discrete Event Simulation(2017 Healthcare Systems Process Improvement Conference, 2017-03-01) Rezaeiahari, M.; Adwan, L.; Shan, Xiaojun; Poranki, S.; Khasawneh, M. T.Abstract not available.Item Game-theoretic Model for Attack and Defense of Smart Grids at Three Levels(Society for Risk Analysis (SRA) Annual Meeting, 2016-12-11) Shan, Xiaojun; Zhuang, J.; Rao, N.As the society relies more on electric technologies, efficient generation and delivery of electric power becomes increasingly important. Smart grids provide a promising solution to the increasing electricity needs. Whereas smart grids have a number of advantages over traditional grids, one of their main disadvantages is the susceptibility to cyber-attacks, which have not been the focus of studies on smart grids. In this paper, a game-theoretic model is developed to identify optimal defenses and attacks at three different levels (i.e., electric generation plants, transmission, and distribution systems). We define parent and child networks. For example, electricity generation network is the parent network of transmission network, which is in turn the parent network of distribution network. Network failure could be due to either direct attacks, cascading failure caused by intense attacks on its parent network, or inadequate maintenance. We identify the best responses and equilibrium strategies of both the attacker and the defender, who interact at three system levels: distribution, transmission, and electricity generation. The results show that the best response of the defender is not only a function of direct attacks but also of the spread from connected networks. Furthermore, we also conduct sensitivity analyses of the equilibrium strategies. Results show that if the probability of a successful attack against electricity generation plants is above a certain level, the defender enhances efforts in protecting electricity generation plants. On the other hand, the efforts of attacking at any of the three levels is not influenced by such a probability. This paper yields some interesting insights to modeling and analyzing the strategic interactions between the attacker and the defender of smart grid networks, which plays an increasingly important role in modern societies.Item Cost of Equity in Defensive Resource Allocations in the Face of a Possibly Non-Strategic Attacker(The Institute for Operations Research and Management Science (INFORMS), 2012-10-14) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Hybrid Defensive Resource Allocations in the Face of a Partially Strategic Attacker, and Comparison with Fully Endogenous and Exogenous Models(The Behavior and Brain Sciences Symposium, 2012-06-01) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Cost of Equity in Defensive Resource Allocatoins in the Face of a Possibly Non-Strategic Attacker(2012 Industrial and Systems Engineering Research Conference (ISERC), 2012-05-18) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Strategic Interactions in Disaster Preparedness and Relief in the Face of Man-Made and Natural Disasters (peer-reviewed)(9th International Conference on Information Systems for Crisis Response and Management, 2012-04) Zhuang, J.; Coles, J.; Guan, P.; He, F.; Shan, XiaojunAbstract not available.Item Subsidizing to Disrupt a Terrorism Supply Chain − A Four-player Game(University at Buffalo Sigma Xi Research Day and Poster Competition, 2012-04-06) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Subsidizing to Disrupt a Terrorism Supply Chain - A Four-Player Game(Society for Risk Analysis (SRA) Annual Meeting, 2011-12-04) Shan, Xiaojun; Zhuang, J.Terrorism with weapons of mass destruction (WMDs) is an urgent threat to homeland security. The process of counter-WMD terrorism often involves multiple government and terrorist group players, which is under-studied in the literature. In this paper, first we consider two subgames: a proliferation game between two terrorist groups or cells (where one handling the black market for profits proliferates to the other one to attack, and this is modeled as a terrorism supply chain) and a subsidization game between two governments (where one potential WMD victim government subsidizes the other host government, who can interfere with terrorist activities). Then we integrate these two subgames to study how the victim government can use the strategy of subsidy to induce the host government to disrupt the terrorism supply chain. To our knowledge, this is the first game-theoretic study for modeling and optimally disrupting a terrorism supply chain in a complex 4-player scenario. We find that in the integrated game, when proliferation payment is high or low, the victim government will not subsidize the host government to destroy the black market regardless of its cost. In contrast, in the subsidization subgame between the two governments, the decision of subsidization depends on its cost. When proliferation payment is medium, the decision of subsidization depends on not only its cost but also the preparation cost and the attacking cost. We study three extensions: (a) a subsidization subgame of incomplete information, (b) a simultaneous-move integrated game, and (c) an integrated game with a different sequence of moves. Findings from our results would assist in government policy making.Item Cost of Equity in Defensive Resource Allocations in the Face of a Possibly Non-Strategic Attacker(INFORMS Annual Meeting, 2011-11-13) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Cost of Equity in Defensive Resource Allocations in the Face of a Possibly Non-Strategic Attacker(Second New York Conference on Applied Mathematics, 2011-04-30) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Cost of Equity in Defensive Resource Allocations in the Face of a Possibly Non-Strategic Attacker(State University of New York at Buffalo's Information and Computing Technology Workshop, 2011-04-06) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Cost of Equity in Defensive Resource Allocations in the Face of a Possibly Non-Strategic Attacker(State University of New York at Buffalo Sigma Xi Research Day and Poster Competition, 2011-04-06) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Cost of Equity in Homeland Security Resource Allocations in the Face of a Possibly Non-Strategic Attacker (acceptance rate~=20%)(Fifth Annual U.S. Department of Homeland Security University Network Summit, 2011-04-01) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Cost of Equity in Homeland Security Resource Allocations in the Face of a Possibly Non-Strategic Attacker(Society for Risk Analysis (SRA) Annual Meeting, 2010-12-05) Shan, Xiaojun; Zhuang, J.Abstract not available.Item Hybrid Defensive Resource Allocations in the Face of Partially Strategic Attacker, and Comparison with Fully Endogenous and Exogenous Models(the Institute for Operations Research and Management Science (INFORMS), 2010-11-07) Shan, Xiaojun; Zhuang, J.Item Integrating Standardization and Optimizatoin Based Staffing Model Development for Care Management(The Institute for Operatoins Research and Management Science (INFORMS), 2019-10-20) Gao, Z.; Shan, Xiaojun; Shan, S. Y.; Khasawneh, M. T.Abstract not available.Item Benefits of Introspection and Self-Reflection in a Course on Effective Teaching Practices(Benefits of Introspection and Self-Reflection in a Course on Effective Teaching Practices, 2019-04-26) Kelling, A.; Lucas, A.; Watson, S.; Beavers, E.; Shan, Xiaojun; Bartsch, R.Abstract not available.Item A predictive framework to identify potential diversion by health care providers(Proceedings of the 7th Annual World Conference of the Society for Industrial and Systems Engineering, 2018) Vovanese, K.; Shan, Xiaojun; Khasawneh, M.Drug diversion committed by health care providers is increasing in the United States. Automated dispensing systems (ADSs) are implemented in many hospitals and care facilities, and contain a wealth of information within its database of drug dispensing transaction history. The objective of this paper is to develop a predictive framework for identifying potential drug diverters by analyzing their transaction behavior with data mining algorithms. A 4-day sample of data (4/1/2015 - 4/4/2015) was studied. The results show that Decision Table classifier has higher accuracy than Logistic Regression, Decision Tree, Naïve Bayes, and K-means Clustering, with high sensitivity, precision (NPV), and Receiver Operating Curve (ROC) area, combined with a low false positive rate.Item Environmental, Health, and Safety Department Reorganization and Prioritization: Using Analytical Hierarchy Process to Mitigate Scope Creep(The Institute for Operations Reserach and Management Science (INFORMS), 2017-10-24) Barton, W.; Shan, XiaojunOur objectives in this article are twofold: first, to use the analytical hierarchy process (AHP) to establish core priorities and, second, to discuss how to reorganize an environmental, health, and safety (EHS) department in a manner that will avoid “scope creep,” as well as inconsistencies in the delivery of client services as a result of personnel loss or change. The approach we describe is novel because it allows users to prioritize their actions daily and annually to recalibrate priorities.Item Empirical Study of Effectiveness of Defensive Resource Allocation(Risk Analysis and Security, 2017-07-21) Shan, XiaojunAbstract not available.