周學(xué)松博士主要研究領(lǐng)域是交通運(yùn)輸組織現(xiàn)代化，如大規(guī)模交通網(wǎng)絡(luò)狀態(tài)估計(jì)、管理、仿真和優(yōu)化模型構(gòu)建，是少數(shù)橫跨道路交通和鐵路運(yùn)輸管理兩個(gè)應(yīng)用領(lǐng)域的學(xué)者。已發(fā)表文章50多篇，在學(xué)科影響因子前5%的期刊發(fā)表論文10多篇，Google Scholar引用達(dá)1300 次以上，其H-指數(shù)是22。

周學(xué)松博士獨(dú)立開發(fā)的開源軟件DTALite（Light-weight Dynamic Traffic Assignment Engine），是唯一可以處理2000萬(wàn)輛以上車輛的大規(guī)模交通模擬軟件。DTALite從首次發(fā)布至今，累計(jì)下載量已達(dá)到4000余次。

發(fā)明專利“Key2SafeDriving”裝置通過(guò)藍(lán)牙或射頻電子標(biāo)志技術(shù)阻止青少年開車時(shí)使用手機(jī)。該發(fā)明能有效的提供交通駕駛安全保障，能為社會(huì)產(chǎn)生巨大效益。該發(fā)明被包括紐約時(shí)報(bào)和華爾街日?qǐng)?bào)在內(nèi)的300多家國(guó)際知名媒體報(bào)導(dǎo)。

周學(xué)松博士2006-2008年在Dash 導(dǎo)航公司擔(dān)任交通數(shù)據(jù)體系總設(shè)計(jì)師，參與開發(fā)了美國(guó)第一個(gè)商業(yè)化基于因特網(wǎng)的GPS導(dǎo)航系統(tǒng)。Dash 導(dǎo)航公司至今在美國(guó)共獲得超過(guò)8千萬(wàn)美元風(fēng)險(xiǎn)投資基金。

周學(xué)松博士指導(dǎo)的學(xué)生Muhammad Khan、孟令云和石鐵分別于2008、2010和2014年獲得國(guó)際運(yùn)籌與管理研究協(xié)會(huì)——鐵路應(yīng)用分會(huì)（INFORMS RAS）學(xué)生論文競(jìng)賽的榮譽(yù)獎(jiǎng)、第二名和第一名。周學(xué)松博士及其指導(dǎo)的學(xué)生首次提出了基于數(shù)據(jù)驅(qū)動(dòng)的車輛跟馳模型，用以預(yù)測(cè)分心駕駛所帶來(lái)的安全隱患。該研究成果于2012年獲得第15屆IEEE ITS大會(huì)最佳論文獎(jiǎng)。指導(dǎo)的學(xué)生團(tuán)隊(duì)于2009年研發(fā)了基于手機(jī)應(yīng)用的出行者路徑導(dǎo)航程序，獲得了由美國(guó)微軟公司舉辦的“想象杯榮譽(yù)獎(jiǎng)”（Imagine Cup Windows Mobile Award）。

2013年8月至今，副教授，亞利桑那州立大學(xué)，美國(guó)；

2007年1月至2013年7月，助理教授/副教授（終身教職），猶他大學(xué)，美國(guó)；

2005年8月至2006年4月，研究科學(xué)家，北卡羅萊納州立大學(xué)，美國(guó)；

2004年8月至2005年8月，研究助理教授，馬里蘭大學(xué)，美國(guó)。

現(xiàn)任Transportation Research Part B 編委，Transportation Research Part C 副主編，Networks and Spatial Economics 副主編，Urban Transit Rail （英文版） 執(zhí)行副主編。

在國(guó)際運(yùn)籌與管理學(xué)和智能交通學(xué)術(shù)組織任以下職務(wù)：國(guó)際運(yùn)籌與管理研究協(xié)會(huì)INFORMS Rail Application Section（鐵路應(yīng)用分會(huì)）副主席，IEEE智能交通系統(tǒng)協(xié)會(huì)，Technical Committee on Traffic and Travel Management（交通和出行管理技術(shù)委員會(huì)）聯(lián)合主席，Transportation Research Board （TRB） Committee on Transportation Network Modeling Subcommittee（美國(guó)交通研究委員會(huì)網(wǎng)絡(luò)模型）分會(huì)主席，Network Equilibrium Subcommittee（美國(guó)交通研究委員會(huì)網(wǎng)絡(luò)平衡）分會(huì)主席。

1. P. Li., X. Zhou*, P. Mirchandani. Solving Simultaneous Route Guidance and Traffic Signal Optimization Problem Using Coupled Space-time and Phase-time Networks.Transportation Research Part B. In Press.

2. Tong, L. Zhou*, X. Miller, H.J.. Transportation Network Design for Maximizing Space-time Accessibility.Transportation Research Part B. In Press.

3. Zhou*, X., S. Tanvir, H. Lei, J. Ta------ylor, B. Liu, N. M. Rouphail, H. C. Frey. （2015） Integrating a Simplified Emission Estimation Model and Mesoscopic Dynamic Traffic Simulator to Efficiently Evaluate Emission Impacts of Traffic Management Strategies.Transportation Research Part D: Transport and Environment.37, 123-136.

4. H. Niu, X. Tian, X. Zhou. （2015） Demand-Driven Train Schedule Synchronization for High-Speed Rail Lines.IEEE Transactions on Intelligent Transportation Systems.99, 1-11.

5. Shi, T. X. Zhou*. （2015） A Mixed Integer Programming Model for Optimizing Multi-level Operations Process in Railroad Yards.Transportation Research Part B. In Press.

6. Zhang, J., Jia, L., Niu, S., Zhang, F., Tong, L., Zhou*, X. （2015） A Space-Time Network-Based Modeling Framework for Dynamic Unmanned Aerial Vehicle Routing in Traffic Incident Monitoring Applications. Sensors, 15, 13874-13898.

7. Niu, H. Zhou, X. Gao, R. Train Scheduling for Minimizing Passenger Waiting Time with Time-Dependent Demand and Skip-Stop Patterns: Nonlinear Integer Programming Models with Linear Constraints.Transportation Research Part B. 76, 117u2013135.

8. Ma, J. Smith, B.L., Zhou*, X. （2015） Personalized Real-time Traffic Information Provision: Agent-based Optimization Model and Solution Framework. In Press.Transportation Research Part C.

9. Taylor, J., Zhou*, X. Rouphail, N., Porter, R.J. （2015） Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach.Transportation Research Part B, 73, 59-80.

10. Przybyla, J., Taylor, J., Jupe, J., Zhou, X.* （2015）. Estimating risk effects of driving distraction: A dynamic errorable car-following model.Transportation Research Part C: Emerging Technologies. 50, 117u2013129.

11. Zhou*, X., Taylor, J. （2014）. DTALite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration.Cogent Engineering,1, 961345.

12. Meng, L., & Zhou*, X. （2014）. Simultaneous train rerouting and rescheduling on an N-track network: A model reformulation with network-based cumulative flow variables.Transportation Research Part B: Methodological,67, 208-234.

13. Yang, L., Zhou*,X. （2014）. Constraint Reformulation and a Lagrangian Relaxation-based Solution Algorithm for a Least Expected Time Path Problem.Transportation Research Part B, 59, 22-44.

14. Niu, H., Zhou, X. （2013） Optimizing Urban Rail Timetable under Time-dependent Demand and Oversaturated Conditions.Transportation Research Part C.36, 212-230.

15. Deng, W. Lei H. ,Zhou, X*. （2013） Freeway Traffic State Estimation and Uncertainty Quantification based on Heterogeneous Data Sources: Stochastic Three DetectorTransportation Research Part B.57,132-157.

16. Lu C-C, Zhou, X*. Zhang, K. （2013） Dynamic Origin-Destination Demand Flow Estimation under Congested Traffic Conditions.Transportation Research Part C.34, 16-37.

17. Xing, T. Zhou, X*. Taylor J. （2013） Designing Heterogeneous Sensor Networks for Estimating and Predicting Path Travel Time Dynamics: An Information-Theoretic Modeling Approach.Transportation Research Part B.57, 66-90.

18. Xing, T. Zhou*, X. （2013） Reformulation and Solution Algorithms for Absolute and Percentile Robust Shortest Path Problems. IEEE Transactions on Intelligent Transportation Systems. 99,1-12.

19. Xing. T. Zhou*, X. （2011） Finding the Most Reliable Path With and Without Link Travel Time Correlation: A Lagrangian Substitution Based Approach,Transportation Research Part B.45 （10） , 1660-1679.

20. Meng, L. Zhou*, X. （2011） Robust train dispatching model under a dynamic and stochastic environment: a scenario-based rolling horizon solution approach, Transportation Research Part B.45（7）, 1080-1102.

21. Chen, X., Zhou*, X. List, G. Using Time-Varying Tolls to Optimize Truck Arrivals at Ports, （2011）

22. Zhou*, X. and List, G. （2010）An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications.Transportation Science.44, 254-273.

23. Khan, M.B., and Zhou*, X （2010） Slack Time Allocation in Robust Double-Track Train Timetabling Applications,IEEE Transactions on Intelligent Transportation Systems,11（1） 1. 81-89.

24. Lu, C-C., Mahmassani, H.S. and Zhou, X. （2009） Equivalent Gap Function-Based Reformulation and Solution Algorithm for the Dynamic User Equilibrium Problem.Transportation Research Part B.43（3）, 345-364.

25. Lu, C-C., Mahmassani, H.S. and Zhou, X. （2008） A Bi-criterion Dynamic User Equilibrium Traffic Assignment Model and Solution Algorithm for Evaluating Dynamic Road Pricing Strategies.Transportation Research Part C,16（4）, 371-389.

26.Zhou, X, Mahmassani, H.S. and Zhang, K. （2008） Dynamic Micro-assignment Modeling Approach for Integrated Multimodal Urban Corridor Management.Transportation Research Part C,16, No. 2 , 167-186.The most downloaded article, January - June 2008, in Transportation Research Part C.

27. Zhou, X. and Mahmassani. H. S. （2007） A Structural State Space Model for Real-Time Origin-Destination Demand Estimation and Prediction in a Day-to-Day Updating Framework.Transportation Research Part B,41（8）, 823-840.The most downloaded article, July - September 2007, in Transportation Research Part B.

28. Zhou*, X. and Zhong, M. （2007） Single-Track Train Timetabling with Guaranteed Optimality: Branch and Bound Algorithms with Enhanced Lower Bounds. Transportation Research Part B, 41（3）, 320-341Top 10 most cited articles in the period of 2007-2012, in Transportation Research Part B.

29. Zhou, X. and Mahmassani. H. S. （2006） Dynamic OD Demand Estimation Using Automatic Vehicle Identification Data.IEEE Transactions on Intelligent Transportation Systems,7（1）, 105-114.

30. Zhou*, X. and Zhong, M. （2005） Bicriteria Train Scheduling for High-Speed Passenger Railroad Planning Applications,European Journal of Operational ResearchVol, 167（3） 752-771.

1. US 8,204,649 （Issued） Integrated Systems and Method for Preventing Mobile Computing Device Use While Driving, 06/21/2012, Co-inventor: Wallace M. Curry, Jr

2. US 8,971,927 （Issued） System and method for preventing cell phone use while driving, 03/03, 2015 Co-inventor: Wallace M. Curry, Jr

3. 61/258,850 Method for Gathering, Processing, and Analyzing Data to Determine the Risk Associated with Driving Behavior, with Jeffrey Taylor, Fahnert, Michael, W. Bowden, Eric, J.