[Preprints][Journal Papers][Conference Papers]

Preprints

  1. Shuo Han, Ufuk Topcu, George J. Pappas, “Quantification on the efficiency gain of automated ridesharing services,” in American Control Conference, 2017. (under review)
  2. Fei Miao, Shuo Han, Shan Lin, Qian Wang, John Stankovic, Abdeltawab Hendawi, Desheng Zhang, Tian He, George J. Pappas, “Data-Driven Robust Taxi Dispatch under Demand Uncertainties,” IEEE Transactions on Control Systems Technology. (under review)

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Journal Papers

  1. Fragkiskos Koufogiannis, Shuo Han, George J. Pappas, “Gradual release of sensitive data under differential privacy,” Journal of Privacy and Confidentiality, vol. 7, no. 2, pp. 23–52, 2017. [pdf]
  2. Shuo Han, Ufuk Topcu, George J. Pappas, “Differentially private distributed constrained optimization,” IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 50–64, 2017. [pdf]
  3. Fei Miao, Shuo Han, Shan Lin, John A. Stankovic, Desheng Zhang, Sirajum Munir, Hua Huang, Tian He, George J. Pappas, “Taxi Dispatch with Real-Time Sensing Data in Metropolitan Areas: A Receding Horizon Control Approach,” IEEE Transactions on Automation Science and Engineering, vol. 13, no. 2, pp. 463–478, 2016.
  4. Shuo Han, Victor M. Preciado, Cameron Nowzari, George J. Pappas, “Data-driven network resource allocation for controlling spreading processes,” IEEE Transactions on Network Science and Engineering, vol. 2, no. 4, pp. 127–138, 2015. [pdf]
  5. Shuo Han, Molei Tao, Ufuk Topcu, Houman Owhadi, Richard M. Murray, “Convex optimal uncertainty quantification,” SIAM Journal on Optimization, vol. 25, no. 3, pp. 1368–1387, 2015. [pdf]

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Conference Papers

  1. Fei Miao, Shuo Han, Abdeltawab Hendawi, Mohamed E. Khalefa, John A. Stankovic, George J. Pappas, “Data-driven distributionally robust vehicle balancing with dynamic region partition,” in ACM/IEEE International Conference on Cyber-Physical Systems, 2017.
  2. Jorge Cortés, Geir E. Dullerud, Shuo Han, Jerome Le Ny, Sayan Mitra, George J. Pappas, “Differential privacy in control and network systems,” in IEEE Conference on Decision and Control, 2016. (tutorial paper)
  3. Shuo Han, Ufuk Topcu, George J. Pappas, “Event-based information-theoretic privacy: A case study of smart meters,” in American Control Conference, 2016.
  4. Jie Fu, Shuo Han, Ufuk Topcu, “Optimal control in Markov decision processes via distributed optimization,” in IEEE Conference on Decision and Control, 2015. [pdf]
  5. Fei Miao, Shuo Han, Shan Lin, George J. Pappas, “Taxi dispatch under model uncertainties,” in IEEE Conference on Decision and Control, 2015. [pdf]
  6. Shuo Han, Ufuk Topcu, George J. Pappas, “A sublinear algorithm for barrier-certificate-based data-driven model validation of dynamical systems,” in IEEE Conference on Decision and Control, 2015. [pdf]
  7. Shuo Han, Ufuk Topcu, George J. Pappas, “An approximately truthful mechanism for electric vehicle charging via joint differential privacy,” in American Control Conference, 2015. [pdf]
  8. Shuo Han, Ufuk Topcu, George J. Pappas, “Differentially private distributed protocol for electric vehicle charging,” in Annual Allerton Conference on Communication, Control, and Computing, 2014. [pdf]
  9. Fragkiskos Koufogiannis, Shuo Han, George J. Pappas, “Computation of privacy-preserving prices in smart grids,” in IEEE Conference on Decision and Control, 2014. [pdf]
  10. Shuo Han, Ufuk Topcu, George J. Pappas, “Differentially private convex optimization with piecewise affine objectives,” in IEEE Conference on Decision and Control, 2014. [pdf]
  11. Shuo Han, Ufuk Topcu, Molei Tao, Houman Owhadi, Richard M. Murray, “Convex optimal uncertainty quantification: Algorithms and a case study in energy storage placement for power grids study,” in American Control Conference, 2013. Best Student Paper Finalist [pdf]
  12. Shuo Han, Richard M. Murray, “Containment indicator function construction via numerical conformal mapping,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.
  13. Shuo Han, Andrea Censi, Andrew D. Straw, Richard M. Murray, “A bio-plausible design for visual pose stabilization,” in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010.
  14. Andrea Censi, Shuo Han, Sawyer B. Fuller, Richard M. Murray, “A bio-plausible design for visual attitude stabilization,” in IEEE Conference on Decision and Control, 2009.
  15. Shuo Han, Andrew D. Straw, Michael H. Dickinson, Richard M. Murray, “A real-time helicopter testbed for insect-inspired visual flight control,” in IEEE International Conference on Robotics and Automation, 2009.

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