Publications by Topic

Communication Networks

  1. “Botnet Detection based on Anomaly and Community Detection” (with Jing Wang), IEEE Transactions on Control of Network Systems, Vol. 4, Issue 2 (June), 2017, pages 392-404.
  2. “An Improved Composite Hypothesis Test for Markov Models with Applications in Network Anomaly Detection” (with Jing Zhang), Proceedings of the 54th IEEE Conference on Decision and Control, pages 3810-3815, December 15-18, 2015, Osaka, Japan.
  3. “A Message-Passing Algorithm for Wireless Network Scheduling” (with F. Huang and W. Lai), IEEE/ACM Transactions on Networking, Vol. 23 (2015), No. 5, pages 1528-1541.
  4. “Statistical Traffic Anomaly Detection in Time-Varying Communication Networks” (with Jing Wang), IEEE Transactions on Control of Network Systems, Vol. 2 (2015), No. 2, pages 100–111.
  5. “Botnet detection using social graph analysis” (with J. Wang), Proceedings of the 52nd Annual Allerton Conference on Communication, Control, and Computing, October 1-3, 2014, Monticello, Illinois.
  6. “Robust Anomaly Detection in Dynamic Networks” (with J. Wang), Proceedings of the 22nd Mediterranean Conference on Control and Automation (MED 14), pages 428-433, June 16-19, 2014, Palermo, Italy.
  7. “Network Anomaly Detection: A Survey and Comparative Analysis of Stochastic and Deterministic Methods” (with J. Wang, D. Rossell, and C. G. Cassandras), Proceedings of the 52nd IEEE Conference on Decision and Control, December 10-13, 2013, Florence, Italy.
  8. “Distributed Scheduling of Wireless Networks: A Message Passing Approach” (with F. Huang, W. Lai), Proceedings of the 21st Mediterranean Conference on Control and Automation (MED 13), pages 922-929, June 25-28, 2013, Chania, Greece.
  9. “The Capacity of Sparse Ad Hoc Networks under Controlled Mobility” (with R. Moazzez-Estanjini), Invited, Proceedings of the 49th IEEE Conference on Decision and Control, December 2010, Atlanta, Georgia.
  10. “Spatio-Temporal Network Anomaly Detection by Assessing Deviations of Empirical Measures” (with G. Smaragdakis), IEEE/ACM Transactions on Networking, Vol. 17 (2009), No. 3, pages 685-697.
  11. “Statistical Anomaly Detection in Internet Traffic and Sensor Network Topology”, Invited Plenary, National Colloquium for Information Systems Security Education, June 5, 2007, Boston, MA.
  12. “A Large Deviations Approach to Statistical Traffic Anomaly Detection” (with G. Smaragdakis), Proceedings of the 45th IEEE Conference on Decision and Control, pages 1900-1905, December 2006, San Diego, California.
  13. “Importance Sampling for the Estimation of Buffer Overflow Probabilities via Trace-Driven Simulations (with S. Vassilaras), IEEE/ACM Transactions on Networking, Vol. 12 (2004), No. 5, pages 907-919.
  14. “Quick simulation of a queue fed by arbitrary traffic traces” (with S. Vassilaras), Invited, Proceedings of the 39th Annual Allerton Conference on Communication, Control, and Computing, pages 172-181, October 2001, Monticello, Illinois.
  15. “Importance Sampling for the Estimation of Buffer Overflow Probabilities in Large Communication Switches” (with S. Vassilaras), INFORMS 11th Applied Probability Conference, July 2001, New York, New York, page 19.
  16. “Class-Specific Quality of Service Guarantees in Multimedia Communication Networks“, Automatica (Special Issue on Control Methods for Communication Networks), V. Anantharam and J. Walrand Eds., Vol. 35 (1999), No. 12, pages 1951-1969.
  17. “On the Estimation of Effective bandwidths from Measurements” (with S. Vassilaras), Invited, INFORMS Conference, November 1999, Philadelphia, Pennsylvania.
  18. “Performance Analysis and Admission Control in Multimedia Communication Networks”, Invited, Proceedings of the 36th IEEE Conference on Decision and Control, pages 1786-1791, December 1997, San Diego, California.
  19. “Congestion Probabilities and Admission control”, Proceedings of the 9TH INFORMS Applied Probability Conference, June 1997, Cambridge, Massachusetts, page 169.
  20. “Buffer Overflow Probabilities in Multiclass ATM Switches” (with D. Bertsimas and J.N. Tsitsiklis), Proceedings of 34th Annual Allerton Conference, pages 712-721, October 1996, Monticello, Illinois.
  21. “Congestion Avoidance for ATM Networks” (with E.D. Sykas, K.M. Vlakos, and G.K. Mourtzinou), Computer Communications, Vol. 17 (1994), No. 9, pages 657-662.
  22. “Congestion Avoidance in ATM Networks” (with E.D. Sykas, G.K. Mourtzinou, and K.M. Vlakos), Proceedings of the IEEE INFOCOM Conference, pages 905-914, May 4-8, 1992, Florence, Italy.

Computational Biology

  1. “A Neural Circuit Model for a Contextual Association Task Inspired by Recommender Systems” (with Henghui Zhu, Allen Chang, Chantal E. Stern, Michael E. Hasselmo), Hippocampus, Special Issue: Computational models of hippocampus and related structures-Part I, Vol. 30, Issue 4 (April), pages 384-395, 2020.
  2. “Learning from Animals: How to Navigate Complex Terrains” (with Henghui Zhu, Hao Liu, Armin Ataei, Yonatan Munk, Thomas Daniel), PLOS Computational Biology, 16(1): e1007452, 2020.
  3. “Designing metabolic division of labor in microbial communities” (with Meghan Thommes, Taiyao Wang, Qi Zhao, and Daniel Segre), mSystems, Vol. 4, Issue 2, March-April 2019.
  4. “Protein docking refinement by convex underestimation in the low-dimensional subspace of encounter complexes” (with Shahrooz Zarbafian, Mohammad Moghadasi, Athar Roshandelpoor, Feng Nan, Keyong Li, Pirooz Vakili, Sandor Vajda, Dima Kozakov), Scientific Reports, 2018, 8:5896.
  5. “Optimal Allocation of Metabolic Functions among Organisms in a Microbial Ecosystem”, (with Qi Zhao, Daniel Segre), Proceedings of the 55th IEEE Conference on Decision and Control, pages 7063-7068, December 12-14, 2016, Las Vegas, Nevada.
  6. “Mapping the landscape of metabolic goals of a cell” (with Qi Zhao, Arion Stettner, Ed Reznik, and Daniel Segre), Genome Biology, 2016, 17:109.
  7. “Focused Grid-Based Resampling for Protein Docking and Mapping” (with A. Mamonov, M. Moghadasi, H. Mirzaei, S. Zarbafian, L. Grove, T. Bohnuud, P. Vakili, S. Vajda, and D. Kozakov), Journal of Computational Chemistry, 2016, Volume 37 (11), pages 961-70.
  8. “Data-Driven Model Estimation in Biochemical Networks from Observed Equilibria”, Invited Talk, Workshop on Control and Observability of Network Dynamics, Mathematical Biosciences Institute, Ohio State University, April 11-15, 2016, Columbus, Ohio.
  9. “Accounting for Observed Small Angle X-ray Scattering Profile in the Protein-Protein Docking Server ClusPro” (with B. Xia, A. Mamonov, S. Leysen, K. N. Allen, S. V. Strelkov, S. Vajda, and D. Kozakov), Journal of Computational Chemistry, Volume 36, 2015, Issue 20, pages 1568–1572.
  10. “Learning Cellular Objectives from Fluxes by Inverse Optimization” (with Qi Zhao, Arion Stettner, Ed Reznik, Daniel Segre), Proceedings of the 54th IEEE Conference on Decision and Control, pages 1271-1276, December 15-18, 2015, Osaka, Japan.
  11. “The Impact of Side-chain Packing on Protein Docking Refinement” (with M.Moghadasi, H. Mirzaei, A. Mamonov, P. Vakili, S. Vajda, and D. Kozakov), Journal of Chemical Information and Modeling, Vol. 55 (2015), No. 4, pages 872-881.
  12. “Energy minimization on manifolds for docking flexible molecules” (with H. Mirzaei, S. Zarbafian, E. Villar, S. Mottarella, D. Beglov, S. Vajda, P. Vakili, and D. Kozakov), Journal of Chemical Theory and Computation, Vol. 11 (2015), No. 3, pages 1063–1076.
  13. “Encounter Complexes and Dimensionality Reduction in Protein-Protein Association” (with D. Kozakov, K. Li, D. Hall, D. Beglov, J. Zheng, P. Vakili, O. Shueler-Furman, G. Clore, and S. Vajda), eLife, 2014;3:e01370.
  14. “Efficient maintenance and update of nonbonded lists in macromolecular simulations” (with Chowdhury, R., Beglov, D., Moghadasi, M., Vakili, P., Vajda, S., Bajaj, C., and Kozakov, D.), Journal of Chemical Theory and Computation, Vol. 10 (2014), pages 4449-4454.
  15. “Reverse Engineering Bacterial Metabolism via Inverse Optimization” (with Q. Zhao, A. Stettner, E. Reznik, and D. Segre), Invited Talk, INFORMS Conference, November 9-12, 2014, San Francisco, CA.
  16. “Optimization on the space of rigid and flexible motions: an alternative manifold optimization approach” (with P. Vakili, H. Mirzaei, S. Zarbafian, D. Kozakov, S. Vajda), Proceedings of the 53rd IEEE Conference on Decision and Control, December 15-17, 2014, Los Angeles, California.
  17. “A Subspace Semi-Definite programming-based Underestimation (SSDU) method for stochastic global optimization in protein docking” (with F. Nan, M. Moghadasi, P. Vakili, S. Vajda, D. Kozakov), Proceedings of the 53rd IEEE Conference on Decision and Control, December 15-17, 2014, Los Angeles, California.
  18. “A new distributed algorithm for side-chain repacking in protein-protein association” (with M. Moghadasi, D. Kozakov, A. Mamonov, P. Vakili, and S. Vajda), 17th Annual International Conference on Research in Computational Molecular Biology (RECOMB), April 7-10, 2013, Beijing, China.
  19. “A New Distributed Algorithm for Side-Chain Positioning in the Process of Protein Docking” (with M. Moghadasi, D. Kozakov, P. Vakili, and S. Vajda), Proceedings of the 52nd IEEE Conference on Decision and Control, December 10-13, 2013, Florence, Italy.
  20. “Flexible Refinement of Protein-Ligand Docking on Manifolds” (with H. Mirzaei, E. Villar, S. Mottarella, D. Beglov, S. Vajda, D. Kozakov, and P. Vakili), Proceedings of the 52nd IEEE Conference on Decision and Control, December 10-13, 2013, Florence, Italy.
  21. “Rigid Body Energy Minimization on Manifolds for Molecular Docking” (with H. Mirzaei, D. Beglov, S. Vajda, P. Vakili, and D. Kozakov), Journal of Chemical Theory and Computation, Vol. 8 (2012), No. 11, pages 4374-4380.
  22. “A New Approach to Rigid Body Minimization with Application to Molecular Docking” (with H. Mirzaei, D. Kozakov, D. Beglov, S. Vajda, and P. Vakili), Proceedings of the 51st IEEE Conference on Decision and Control, December 10-13, 2012, Maui, Hawaii.
  23. “A Message Passing Approach to Side Chain Positioning with Applications in Protein Docking Refinement” (with M. Moghadasi, D. Kozakov, A. Mamonov, P. Vakili, and S. Vajda), Proceedings of the 51st IEEE Conference on Decision and Control, December 10-13, 2012, Maui, Hawaii.
  24. “Achieving reliability and high accuracy in automated protein docking: ClusPro, PIPER, SDU, and stability analysis in CAPRI rounds 13-19” (with D. Kozakov, D. R. Hall, D. Beglov, R. Brenke, S. R. Comeau, Y. Shen, K. Li, J. Zheng, P. Vakili, and S. Vajda), PROTEINS, Special Issue: Fourth Meeting on the Critical Assessment of PRedicted Interactions, Vol. 78 (2010), No. 15 (July), pages 3124-3130.
  25. “Protein docking by the underestimation of free energy funnels in the space of encounter complexes” (with Y. Shen, P. Vakili, and S. Vajda), PLoS Computational Biology, Vol. 4 (2008), No. 10.
  26. “Integrated understanding of the metabolic and gene regulatory systems of Shewanella oneidensis MR-1” (with Qasim Beg, David Byrne, Michael Driscoll, Frank Juhn, Yang Shen, Jeremiah Faith, Timothy Gardner, and Daniel Segre), 108th General Meeting of the American Society of Microbiology, June 1-5, 2008, Boston, Massachusetts.
  27. “Systematic identification of regulatory mapping and optimal metabolic engineering strategies in Shewanella oneidensis MR-1” (with D. K. Byrne, Q. K. Beg, M. E. Driscoll, F. S. Juhn, Y. Shen, J. J. Faith, D. Segre., T. S. Gardner), Genomics: Annual Contractor-Grantee Workshop, Department of Energy, February 10-13, 2008, Bethesda, Maryland.
  28. “Docking refinement by the underestimation of free energy funnels” (with Y. Shen, P. Vakili, and S. Vajda), 4th Conference on Modeling of Protein Interactions (MPI 2007), Sep. 30 – Oct. 2, 2007, Lawrence, Kansas.
  29. “A multistep approach to protein-protein docking” (with D. Kozakov, Y. Shen, R. Brenke, D. Beglov, P. Vakili, S. Vajda), 234th American Chemical Society National Meeting, August 19-23, 2007, Boston, Massachusetts.
  30. “Optimizing Noisy Funnel-like Functions on the Euclidean Group with Applications to Protein Docking” (with Y. Shen, P. Vakili, S. Vajda), Invited, Proceedings of the 46th IEEE Conference on Decision and Control, pages 4545-4550, December 2007, New Orleans, Louisiana.
  31. “New Approaches to Protein-Protein Docking” (with D. Kozakov, R. Brenke, Y. Shen, S.R. Comeau, P. Vakili, S. Vajda), 3DSIG Structural Bioinformatics and Computational Biophysics Meeting, in conjucntion with the Conference of the International Society for Computational Biology, July 19-20, Vienna, Austria.
  32. “Refinement of rigid-body protein docking predictions using semi-definite underestimation” (with Y. Shen, P. Vakili, and S. Vajda), 3rd Critical Assessment PRedicted Interaction (CAPRI) Evaluation Meeting, April 20-21, 2007, Toronto, Canada. (Poster presentation, awarded 1st prize).
  33. SDU: A Semi-Definite Programming-Based Underestimation Method for Stochastic Global Optimization in Protein Docking” (with Y. Shen, P. Vakili and S. Vajda), IEEE Transactions on Automatic Control, Vol. 52 (2007), No. 4, pages 664-676.
  34. “New approaches to protein-protein docking” (with S. Vajda, D. Kozakov, R. Brenke, S. R. Comeau, Y. Shen, P. Vakili), 232nd American Chemical Society National Meeting, September 10-14, 2006, San Francisco, California.
  35. “Protein-Protein Docking with Reduced Potentials by Exploiting Multi-Dimensional Energy Funnels” (with Y. Shen, P. Vakili, S. Vajda), Proceedings of the 28th IEEE International Conference of the Engineering in Medicine and Biology Society, August 30-Sept. 3, 2006, New York City, New York.
  36. “A Semi-Definite programming-based Underestimation method for global optimization in molecular docking” (with Yang Shen, Sandor Vajda, Pirooz Vakili), Proceedings of the 44th IEEE Conference on Decision and Control, pages 3675-3680, December 2005, Seville, Spain.
  37. “A semi-definite programming based underestimation method for global optimization in molecular docking” (with Y. Shen, S. Vajda, and P. Vakili), 3rd Conference on Protein Interactions in Genomics, June 26-28, 2005, Lawrence, Kansas.

Control and Optimization

  1. “The IEEE Transactions on Control of Network Systems and the Evolution of the Field”, IEEE Transactions on Control of Network Systems, Vol. 7 (2020), No. 1 (March), pages 1-4.
  2. “Asymptotic Network Independence in Distributed Stochastic Optimization for Machine Learning” (with Shi Pu and Alex Olshevsky), IEEE Signal Processing Magazine, Vol. 37, No. 3, pages 114-122, 2020.
  3. “Robust Asynchronous Stochastic Gradient-Push: Asymptotically Optimal and Network-Independent Performance for Strongly Convex Functions” (with Alex Olshevsky and Artin Spiridonoff), Journal on Machine Learning Research, Vol. 21, No. 58, pages 1-47, 2020.
  4. “A Non-Asymptotic Analysis of Network Independence for Distributed Stochastic Gradient Descent” (with Alex Olshevsky and  Shi Pu), 2019.
  5. “Fully Asynchronous Push-Sum With Growing Intercommunication Intervals“, (with Alex Olshevsky and A. Spiridonoff), Proceedings of the American Control Conference, pages 591-596, June 27-29, 2018, Milwaukee, Wisconsin. (Also in arxiv.)
  6. “Statistical Anomaly Detection via Composite Hypothesis Testing for Markov Models” (with Jing Zhang), IEEE Transactions on Signal Processing, Vol. 66, Issue 3 (March), 2018, pages 589-602.
  7. “Systems & Control for the future of humanity, research agenda: Current and future roles, impact and grand challenges”, (contributing section author), in Annual Reviews in Control, Vol. 43, 2017, pages 1–64, by F. Lamnabhi-Lagarrigue et al.
  8. “An Actor-Critic Algorithm with Second-Order Actor and Critic” (with Jing Wang), IEEE Transactions on Automatic Control, Vol. 62, Issue 6 (June), 2017, pages 2689-2703.
  9. “Cooperative Multi-Quadrotor Pursuit of an Evader in an Environment with No-Fly Zones”, (with Alyssa Pierson, Armin Ataei, and Mac Schwager), Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), pages 320-326, May 16-21, 2016, Stockholm, Sweden.
  10. “Temporal Logic Motion Control using Actor-Critic Methods” (with J. Wang, X. Ding, M. Lahijanian, C. Belta), International Journal of Robotics Research, Vol. 34 (2015), No 10, pages 1329–1344.
  11. “Quadrotor Deployment for Emergency Response in Smart Cities: A Robust MPC Approach” (with Armin Ataei), Proceedings of the 54th IEEE Conference on Decision and Control, pages 5130-5135, December 15-18, 2015, Osaka, Japan.
  12. “Data-Driven Model Estimation in Network Systems from Observed Equilibria” (with D. Bertsimas, V. Gupta, Q. Zhao, A. Stettner, D. Segre), Invited Talk, Symposium in Honor of Erol Gelenbe, September 2015, Imperial College, London, United Kingdom.
  13. “Distribution-dependent robust linear optimization with applications to inventory control” (with S.-C. Kang and T. Brisimi), Annals of Operations Research, Annals of Operations Research, Vol. 231 (2015), Issue 1, pages 229-263.
  14. “Data-Driven Cyber-Physical Model Estimation from Observed Equilibria” (with D. Bertsimas, V. Gupta, Q. Zhao, A. Stettner, D. Segrè), Invited Talk, Oberwolfach Mathematical Institute, February 2015, Oberwolfach, Germany.
  15. “A Hessian Actor-Critic Method” (with J. Wang), Proceedings of the 53rd IEEE Conference on Decision and Control, December 15-17, 2014, Los Angeles, California.
  16. “Data-Driven Estimation in Equilibrium using Inverse Optimization” (with D. Bertsimas and V. Gupta), Mathematical Programming Series A, Sep. 2014, pages 1–39.
  17. “The Inaugural Issue of the IEEE Transactions on Control of Network Systems” (with M. Egerstedt), IEEE Transactions on Control of Network Systems, Vol. 1 (2014), No. 1 (March), pages 1–3.
  18. “Graph-theoretic conflict resolution with applications in wireless networks and protein docking” Invited Talk, Systems Control and Optimization: a workshop in honor of Professor John Tsitsiklis, Symi, Greece, July 2013.
  19. “A new message-passing algorithm for the maximum weighted independent set with applications in wireless networks and protein docking” Information Theory and Applications Workshop, February 10-15, 2013, San Diego, California.
  20. “Animal-Inspired Optimal Foraging via a Distributed Actor-Critic Algorithm” (with Y. Lin), Proceedings of the 20th Mediterranean Conference on Control and Automation (MED 12), pages 1223-1228, July 3-6, 2012, Barcelona, Spain.
  21. “Inverse Optimization: A New Perspective on the Black-Litterman Model” (with D. Bertsimas and V. Gupta), Operations Research, Vol. 60 (2012), No. 6, pages 1389-1403.
  22. “Inverse Optimization: A New Perspective on the Black-Litterman Model” (with V. Gupta and D. Bertsimas), INFORMS Annual Meeting, November 13-16, 2011, Charlotte, North Carolina.
  23. “Temporal Logic Motion Control using Actor-Critic Methods” (with X.-C. Ding, J. Wang, M. Lahijanian, and C. Belta), Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), May 14-18, 2012, St. Paul, Minnesota.
  24. “Least Squares Temporal Difference Actor-Critic Methods with Applications to Robot Motion Control” (with R. Moazzez-Estanjini, X. C. Ding, M. Lahijanian, J. Wang, and C. Belta), Proceedings of the 50th IEEE Conference on Decision and Control, December 2011, Orlando, Florida.
  25. “A Least Squares Temporal Difference Actor-critic Algorithm with Applications to Warehouse Management” (with R. Moazzez-Estanjini), Invited, INFORMS Northeast Regional Conference, May 6-7, 2011, Amherst, Massachusetts.
  26. “Mobile Agent Coordination via a Distributed Actor-Critic Algorithm” (with Y. Lin), Proceedings of the 19th Mediterranean Conference on Control and Automation (MED 11), June 20-23, 2011, Corfu, Greece.
  27. “Cyber-Physical Systems for Next Generation Intelligent Buildings” (with A. Savvides, M.C. Caramanis), Proceedings of the ACM/IEEE Second International Conference on Cyber-Physical Systems (ICCPS), April 12-14, 2011, Chicago, Illinois.
  28. “An Actor-Critic Method Using Least Squares Temporal Difference Learning with an Application to Warehouse Management” (with K. Li, R. Moazzez-Estanjini), Proceedings of the 48th IEEE Conference on Decision and Control, pages 2564-2569, December 2009, Shanghai, China.
  29. “A Distributed Actor-Critic Algorithm and Applications to Mobile Sensor Network Coordination Problems” (with P. Pennesi), IEEE Transactions on Automatic Control, Vol. 55 (2010), No. 2 (February), pages 492-497.
  30. “Event-driven Sensing for Enterprise Reconfigurability and Optimization” (with C. Cassandras, A. Bestavros, R. Gao, and W. Gong), Invited, INFORMS Annual Meeting, October 12-15, 2008, Washington, D.C.
  31. “A Robust Approach to Markov Decision Problems with Uncertain Transition Probabilities” (with Seong-Cheol Kang), Proceedings of the 17th IFAC World Congress, pages 408-413, July 6-11, 2008, Seoul, Korea.
  32. “Distribution-Dependent Robust Linear Optimization with Asymmetric Uncertainty and Application to Optimal Control” (with Seong-Cheol Kang and Keyong Li), Proceedings of the 17th IFAC World Congress, pages 10069-10074, July 6-11, 2008, Seoul, Korea.
  33. “Some Results on the Analysis of Stochastic Processes with Uncertain Transition Probabilities and Robust Optimal Control” (with K. Li and S.-C. Kang), Proceedings of 45th Annual Allerton Conference on Communication, Control, and Computing, September 26-28, 2007, Monticello, Illinois.
  34. “On the benefits of distributional information in robust linear optimization” (with Seong-Cheol Kang), Proceedings of the 5th IFAC Symposium on Robust Control Design, July 2006, Toulouse, France.
  35. “Distributed multi-agent actor-critic algorithms with applications to stochastic path finding problems” (with Paris Pennesi and Yimin Yu), Proceedings of the 5th IFAC Symposium on Robust Control Design, July 2006, Toulouse, France.
  36. “Robust Linear Programming with Tight Probabilistic Guarantees and Applications in Inventory Control” (with Seong-Cheol Kang), Proceedings of 2006 NSF Design, Service, and Manufacturing Grantees and Research Conference, January 2006, St. Louis, Missouri.
  37. “Robust Linear Optimization: On the benefits of distributional information and applications in inventory control” (with Seong-Cheol Kang), Proceedings of the 44th IEEE Conference on Decision and Control, pages 4416-4421, December 2005, Seville, Spain.

Data Science, Machine Learning

  1. “Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach”, (with James Queeney and Christos G. Cassandras), 35th AAAI Conference on Artificial Intelligence (AAAI-21), February 2-9, 2021, virtual.
  2. “Distributionally Robust Learning” (with Ruidi Chen), Foundations and Trends in Optimization, Vol. 4, No. 1-2, pages 1-245. Also available from Amazon.
  3. “Provable Hierarchical Imitation Learning via EM” (with Zhiyu Zhang), ICML 2020 Workshop on Theoretical Foundations of Reinforcement Learning, July 17 2020, virtual.
  4. “Learning Parametric Policies and Transition Probability Models of Markov Decision Processes from Data” (with Tingting Xu and Henghui Zhu), European Journal of Control, 2020.
  5. “A Distributionally Robust Optimization Approach for Multivariate Linear Regression under the Wasserstein Metric” (with Ruidi Chen), Proceedings of the 58th IEEE Conference on Decision and Control, pages 3655-3660, December 11-13, 2019, Nice, France.
  6. “Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models” (with Taiyao Wang), Proceedings of the 58th IEEE Conference on Decision and Control, pages 3664-3669, December 11-13, 2019, Nice, France.
  7. “Selecting Optimal Decisions via Distributionally Robust Nearest-Neighbor Regression” (with Ruidi Chen), Proceedings of Advances in Neural Information Processing Systems 32 (NeurIPS 2019), December 8-14, 2019, Vancouver, Canada.
  8. “Learning Parameterized Prescription Policies and Disease Progression Dynamics using Markov Decision Processes” (with Henghui Zhu and Tingting Xu), American Control Conference, July 10-12, 2019, Philadelphia, Pennsylvania.
  9. “A Hebbian learning algorithm for training a neural circuit to perform context-dependent associations of stimuli” (with Henghui Zhu and Michael Hasselmo), American Control Conference, July 10-12, 2019, Philadelphia, Pennsylvania.
  10. “Learning Policies for Markov Decision Processes from Data” (with Manjesh K. Hanawal, Hao Liu, Henghui Zhu), IEEE Transactions on Automatic Control, Vol. 64, Issue 6, June 2019, pages 2298-2309.
  11. “Distributionally Robust Learning with Applications to Health Analytics”, Invited Talk, 2nd Information Modeling & Control of Complex Systems (IMaCCS) Workshop, June 3-4, 2019, Ohio State University, Columbus, Ohio.
  12. “Context-Driven Concept Annotation in Radiology Reports: Anatomical Phrase Labeling”, (with Henghui Zhu and Amir Tahmasebi), AMIA 2019 Informatics Summit, March 25-28, 2019, San Francisco, California.
  13. “Context-based bidirectional-LSTM model for sequence labeling in clinical reports” (with Henghui Zhu and Amir Tahmasebi), SPIE Medical Imaging Symposium, February 16-21, 2019, San Diego, California.
  14. “A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization” (with Ruidi Chen), Journal on Machine Learning Research, Vol. 19, 2018, No. 13, pages 1-48.
  15. “A Distributionally Robust Optimization Approach for Outlier Detection” (with R. Chen), Proceedings of the 57th IEEE Conference on Decision and Control, pages 352-357, December 17-19, 2018, Miami, Florida.
  16. “Clinical Concept Extraction with Contextual Word Embedding“, (with Henghui Zhu and Amir Tahmasebi), NIPS Machine Learning for Health Workshop, December 8, 2018, Montreal, Canada.
  17. “Learning Optimal Personalized Treatment Rules Using Robust Regression Informed K-NN“, (with Ruidi Chen), NIPS Machine Learning for Health Workshop, December 8, 2018, Montreal, Canada.
  18. “Neural Circuits for Learning Context-Dependent Associations of Stimuli” (with Henghui Zhu and Michael Hasselmo), Neural Networks (Special Issue on Deep Reinforcement Learning in Neural Networks), Ron Sun, David Silver, Gerald Tesauro, Guang-Bin Huang, Eds., Vol. 107, November, 2018, pages 48-60.
  19. “Automatic Inference of Anatomy from Context in Radiology Reports using Deep Learning” (with Henghui Zhu, Sandeep Dalal, Amir M. Tahmasebi) , 3rd Annual Scienti c Conference on Machine Intelligence in Medical Imaging (C-MIMI), September 9-10, 2018, San Francisco, California.
  20. “Robust Regression under theWasserstein Metric”, (with Ruidi Chen), Invited Talk, American Mathematical Society Northeast Meeting, April 21-22, 2018, Northeastern University, Boston, Massachusetts.
  21. “Sequential Dynamic Decision Making with Deep Neural Nets on a Test-Time Budget” (with Henghui Zhu, Feng Nan, and Venkatesh Saligrama), 2017.
  22. “Feature Extraction in Q-Learning using Neural Networks”, (with Henghui Zhu and Michael Hasselmo), Proceedings of the 56th IEEE Conference on Decision and Control, December 12-16, 2017, Melbourne, Australia.
  23. “Outlier Detection Using Robust Optimization with Uncertainty Sets Constructed from Risk Measures”, (with Ruidi Chen), Proceedings of 35th International Symposium on Computer Performance, Modeling, Measurements and Evaluation (IFIP Performance), November, 13-17, 2017, New York, New York.
  24. “A Decentralized Primal Dual Method for Large-Scale Sparse Support Vector Machines”, (with T. Brisimi, W. Shi, A. Olshevsky), SIAM Conference on Optimization, May 22-25, 2017, Vancouver, Canada.
  25. “Learning Parameterized Policies for Markov Decision Processes through Demonstrations”, (with Manjesh Kumar Hanawal, Hao Liu, Henghui Zhu), Proceedings of the 55th IEEE Conference on Decision and Control, pages 7087-7092, December 12-14, 2016, Las Vegas, Nevada.
  26. “Sensing and Classifying Roadway Obstacles in Smart Cities: The Street Bump System” (with Theodora S. Brisimi, Christos G. Cassandras, Chris Osgood, and Yue Zhang), IEEE Access, Vol. 4, 2016, pages 1301-1312.
  27. “Sensor Data and Analytics Enabling Smarter Cities”, NSF Morocco/ US Workshop on Sensors and Wireless Networks for Smart Cities, Invited Talk, January 5-7, 2016, Rabat, Morocco.
  28. “Show me the Data! Smart-Analytics Enabling Inference and Predictions”, Invited Talk, NSF Workshop on Smart Cities, December 3-4, 2015, Arlington, Virginia.
  29. “Sensing and Classifying Roadway Obstacles: The Street Bump Anomaly Detection and Decision Support System” (with T. S. Brisimi, S. Ariafar, Y. Zhang, and C. G. Cassandras), Proceedings of the IEEE Int. Conf. on Automation Science and Engineering (CASE), August 24–28, 2015, Gothenburg, Sweden.
  30. “Detection and localization of harmful atmospheric releases via Support Vector Machines” (with R.T. Locke), Environmental Systems Research, Vol. 4 (2015), No. 2.

Energy Systems, Smart Grid

  1. “A Data Center Demand Response Policy for Real-World Workload Scenarios in HPC” (with Yijia Zhang, Daniel C. Wilson, and Ayse K. Coskun), Design, Automation and Test in Europe Conference (DATE 2021), February 1-5, 2021, virtual.
  2. “Coordinated Demand Response By Data Centers Using Inverse Optimization” (with Athanasios Tsiligkaridis and Ayse Coskun), IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), November 11-13, 2020, virtual.
  3. “Data Center Demand Response Pricing Using Inverse Optimization” (with Thanasis Tsiligkaridis and Ayse Coskun), 10th International Conference on Future Energy Systems (ACM e-Energy), June 25-28, 2019, Phoenix, Arizona.
  4. “Data Center Participation in Demand Response Programs with Quality-of-Service Guarantees” (with Yijia Zhang and Ayse Coskun), 10th International Conference on Future Energy Systems (ACM e-Energy), June 25-28, 2019, Phoenix, Arizona.
  5. “Learning from Past Bids to Participate Strategically in Day-Ahead Electricity Markets” (with Ruidi Chen, Michael C. Caramanis, and Panagiotis Andrianesis), IEEE Trans. Smart Grid,  Vol. 10, Issue 5, Sept. 2019, pages 5794-5806.
  6. “Distributed MPC for Coordinated Energy Efficiency Utilization in Microgrid Systems” (with Y. Du, J. Wu, C. Long), IEEE Transactions on Smart Grid, IEEE Transactions on Smart Grid, Vol. 10, Issue 2, March 2019, pages 1781-1790.
  7. “Experiments on Data Center Participation in Demand Response Programs“, (with Yijia Zhang, Ozan Tuncer, Athanasios Tsiligkaridis, Michael Caramanis, and Ayse K. Coskun), IEEE High Performance Extreme Computing Conference (HPEC), September 25-27, 2018, Waltham, Massachusetts.
  8. “Strategic Equilibrium Bidding for Electricity Suppliers in A Day-Ahead Market Using Inverse Optimization”, (with Ruidi Chen and Michael Caramanis), Proceedings of the 56th IEEE Conference on Decision and Control, December 12-16, 2017, Melbourne, Australia.
  9. “Provision of Regulation Service by Smart Buildings” (with Enes Bilgin, Michael Caramanis, Christos Cassandras), IEEE Transactions on Smart Grid, Vol. 7, No. 3 (May 2016), 2016, pages 1683-1693.
  10. “Smart Building Real Time Pricing for Offering Load-Side Regulation Service Reserves” (with E. Bilgin and M. C. Caramanis), Proceedings of the 52nd IEEE Conference on Decision and Control, December 10-13, 2013, Florence, Italy.
  11. “Provision of Regulation Service Reserves by Flexible Distributed Loads” (with Caramanis, M.C., Cassandras, C.G., Bilgin, E., and Ntakou, E.), Proceedings of the 51st IEEE Conference on Decision and Control, December 10-13, 2012, Maui, Hawaii.
  12. “Demand-Side Management for Regulation Service Provisioning through Internal Pricing” (with B. Li and M.C. Caramanis), IEEE Transactions on Power Systems, Vol 27 (2012), No. 3, pages 1531-1539.
  13. “A Market-Based Mechanism for Providing Demand-Side Regulation Service Reserves” (with B. Li and M.C. Caramanis), Proceedings of the 50th IEEE Conference on Decision and Control, December 2011, Orlando, Florida.

Inventory Control, Supply Chain Management

  1. “A Least Squares Temporal Difference Actor-Critic Algorithm with Applications to Warehouse Management” (with R. Moazzez Estanjini and K. Li), Naval Research Logistics, Vol. 59 (2012), Issue 3, pages 197-211.
  2. “Production Planning and Quality of Service Allocation Across the Supply Chain in a Dynamic Lead Time Model” (with M. C. Caramanis, C.-C. Wu), Proceedings of the 48th IEEE Conference on Decision and Control, pages 7137-7144, December 2009, Shanghai, China.
  3. “Tractable Supply Chain Production Planning Modeling Non-Linear Lead Time and Quality of Service Constraints” (with O. Anli and M. C. Caramanis), Journal of Manufacturing Systems, Special issue on Distributed Control of Manufacturing Systems, Volume 26 (2007), No. 2, pages 116-134.
  4. “Enforcing Service-Level Constraints in Supply Chains with Assembly Operation” (with C. Del Vecchio), IEEE Transactions on Automatic Control, Vol. 51 (2006), No. 12, pages 2000-2005.
  5. “Combining MPC and LD Analysis in Supply Chain Inventory Control Problem ” (with Paris Pennesi and Giuseppe Conte), Proceedings of the 14th Mediterranean Conference on Control and Automation, June 2006, Ancona, Italy.
  6. “Supply Chain Production Planning Modeling Facility Lead Time and Quality of Service” (with O. Anli and M. Caramanis), in Analysis, Control and Optimization of Complex Dynamic Systems, El Kebir Boukas and Roland P. Malhame, eds. Kluwer Academic Publishers (2005), pages 106-136.
  7. “Supply Contracts with Service Level Requirements” (with Carmen Del Vecchio), Proceedings of the IFAC Congress, July 2005, Prague, The Czech Republic.
  8. “Inventory Control for Supply Chains with Service Level Constraints: A Synergy between Large Deviations and Perturbation Analysis” (with Y. Liu, C.G. Cassandras, and C. Panayiotou), Annals of Operations Research (Special Volume on Stochastic Models of Production-Inventory Systems), Vol. 126 (2004), pages 231-258.
  9. “Integrated Operational and Financial Simulation of Multi-Tier, Demand Driven Supply Networks Using a Collaborative Demand Planning and Inventory Optimization Approach” (with M. C. Caramanis, K. Egilmez, K. Nitschke), 11th ASIM Dedicated Conference on Simulation in Production and Logistics, October 2004, Berlin, Germany.
  10. “Production Coordination and Control of Supply Chains: Preliminary Results and Proof of Concept” (with M. C. Caramanis, O. M. Anli), Proceedings of the NSF DMII Grantees Conference, January 2004, Dallas, Texas.
  11. “Large Deviations-based Asymptotics for Inventory Control in Supply Chains” (with Y. Liu), Operations Research, Vol. 51 (2003), No. 3, pages 437-460.
  12. “Supply Chain Production Scheduling with Dynamic Lead Time and Quality of Service Constraints” (with M. C. Caramanis, O. M. Anli), Proceedings of the 42nd IEEE Conference on Decision and Control, December 2003, Maui, Hawaii.
  13. “Enforcing Service-Level Constraints in Supply Chains with Assembly Operations” (with C. del Vecchio), Proceedings of the 42nd IEEE Conference on Decision and Control, December 2003, Maui, Hawaii.
  14. “Probabilistic Service Level Guarantees in Make-to-Stock Manufacturing Systems” (with D. Bertsimas), Operations Research, Vol. 49 (2001), No. 1, pages 119-133.
  15. “Threshold-Based Control for Make-to-Stock Models: A Synergy between Large Deviations and Perturbation Analysis” (with Y. Liu, C.G. Cassandras, and P. Zhang), Proceedings of the 40th IEEE Conference on Decision and Control, pages 4523-4528, December 2001, Orlando, Florida.
  16. “Large Deviations-based Asymptotics for Inventory Control in Supply Chains” (with Y. Liu), Invited, Proceedings of the 39th IEEE Conference on Decision and Control, pages 528-533, December 2000, Sydney, Australia.
  17. “Inventory Control in Supply Chains: A Large Deviations Approach” (with Y. Liu), Invited, INFORMS Conference, November 2000, San Antonio, Texas.
  18. “Large Deviations-based Asymptotics for Inventory Control in Make-to-Stock Manufacturing Systems and Supply Chains”, Conference on Stochastic Networks, University of Wisconsin-Madison, June 2000, Madison, Wisconsin.
  19. “Controlling Make-to-Stock Manufacturing Systems: A Large Deviations Approach” (with D. Bertsimas), Invited, Proceedings of the 38th IEEE Conference on Decision and Control, pages 462-467, December 1999, Phoenix, Arizona.
  20. “A Framework for the Decentralized Control of Manufacturing Enterprises” (with M. Caramanis and O. Anli), Invited, Proceedings of DARPA-JFACC Symposium on Advances in Enterprise Control, pages 99-109, November 1999, San Diego, California.
  21. “Optimal control of make-to-stock systems: A large deviations approach” (with D. Bertsimas), INFORMS Conference, April 1998, Montreal, Canada.

Large Deviations

  1. “Model-Based Estimation of Buffer Overflow Probabilities from Measurements” (with S. Vassilaras), Proceedings of the ACM SIGMETRICS 2001/Performance 2001 conference, pages 154-163, June 16-20th, 2001, Cambridge, Massachusetts.
  2. “On the Estimation of Buffer Overflow Probabilities from Measurements” (with S. Vassilaras), IEEE Transactions on Information Theory, Vol. 47 (2001), No. 1, pages 178-191.
  3. “On Estimating Buffer Overflow Probabilities under Markov-modulated Inputs” (with S. Vassilaras), Invited, Proceedings of 37th Annual Allerton Conference on Communication, Control, and Computing, pages 306-315, September 1999, Monticello, Illinois.
  4. “Large Deviations Analysis of the Generalized Processor Sharing Policy” (with D. Bertsimas and J.N. Tsitsiklis), Queueing Systems, Vol 32 (1999), pages 319-349.
  5. “Asymptotic Buffer Overflow Probabilities in Multiclass Multiplexers: An Optimal Control Approach” (with D. Bertsimas and J.N. Tsitsiklis), IEEE Transactions on Automatic Control, Vol 43 (1998), No. 3, pages 315-335.
  6. “On the Large Deviations Behaviour of Acyclic Networks of G/G/1 Queue” (with D. Bertsimas and J.N. Tsitsiklis), The Annals of Applied Probability, Vol. 8 (1998), No. 4, pages 1027-1069.
  7. “On the Large Deviations Behaviour of Acyclic Networks of G/G/1 Queues” (with D. Bertsimas and J.N. Tsitsiklis), Proceedings of the Third INFORMS Telecommunications Conference, March 1995, Boca Raton, Florida.
  8. “On the Large Deviations Behaviour of Acyclic Single Class Networks and Multiclass Queues” (with D. Bertsimas and J.N. Tsitsiklis), Invited, Royal Statistical Society Workshop on Stochastic Networks, August 1-11, 1995, Edinburgh, U.K.

Medical Informatics, Computational Medicine

  1. “Enhancing Clinical BERT Embedding using a Biomedical Knowledge Base” (with Boran Hao and Henghui Zhu), 28th International Conference on Computational Linguistics (COLING 2020), December 8-11, 2020, virtual.
  2. “Development and Validation of a Prognostic Risk Score System for COVID-19 Inpatients: A Multi-Center Retrospective Study in China”, (with YeYuan, Chuan Sun, Xiuchuan Tang, Cheng Cheng, Laurent Mombaerts, Maolin Wang, Tao Hue, Chenyu Sun, Yuqi Guo, Xiuting Li, Hui Xu, Tongxin Ren, Yang Xiao, Yaru Xiao, Hongling Zhu, Honghan Wu, Kezhi Li, Chuming Chen, Yingxia Liu, Zhichao Liang, Zhiguo Cao, Hai-Tao Zhang, Quanying Liu, Jorge Goncalves, Qiang Zhong, and Li Yan), Engineering, 2020.
  3. “Physiological and socioeconomic characteristics predict COVID-19 mortality and resource utilization in Brazil” (with Salomon Wollenstein-Betech, Amanda A. B. Silva, Julia L. Fleck, Christos G. Cassandras), PLOS One, Vol. 15, No. 10, e0240346, 2020.
  4. “Predictive Models of Mortality for Hospitalized COVID-19 Patients: Retrospective Cohort Study” (with Taiyao Wang, Aris Paschalidis, Quanying Liu, Yingxia Liu, Ye Yuan), JMIR Medical Informatics, Vol. 8, No. 10, e21788, 2020.
  5. “Early prediction of level of care requirements in patients with COVID-19” (with Boran Hao, Shahabeddin Sotudian, Taiyao Wang, Tingting Xu, Yang Hu, Apostolos Gaitanidis, Kerry Breen, and George C. Velmahos), eLife, 2020;9:e60519.
  6. “Personalized Predictive Models for Symptomatic COVID-19 Patients Using Basic Preconditions: Hospitalizations, Mortality, and the Need for an ICU or Ventilator” (with Salomon Wollenstein-Betech and Christos G.Cassandras), International Journal of Medical Informatics, Vol. 142, 104258, 2020.
  7. “Prescriptive Analytics for Reducing 30-day Hospital Readmissions after General Surgery” (with Dimitris Bertsimas, Michael Lingzhi Li, and Taiyao Wang), PLOS One, Vol. 15, No. 9, e0238118, 2020.
  8. “Learning predictive and prescriptive models from data”, First Call to Arms Workshop on COVID-19, NSF, NeTS Program, Monday April 13, 2020 (online).
  9. “Automatic Extraction of Incidental Pulmonary Nodule Findings in Radiology Reports” (with Henghui Zhu, Amir M. Tahmasebi), Annual Meeting of the Society for Imaging Informatics in Medicine (SIIM), June 26-28, 2019, Denver, Colorado.
  10. “Learning models for writing better doctor prescriptions” (with Tingting Xu), European Control Conference, June 25-28, 2019, Napoli, Italy.
  11. “Prescriptive Cluster-Dependent Support Vector Machines with an Application to Reducing Hospital Readmissions” (with Taiyao Wang), European Control Conference, June 25-28, 2019, Napoli, Italy. (Also in arxiv.)
  12. “Predicting Diabetes-related Hospitalizations based on Electronic Health Records” (with Theodora S. Brisimi, Tingting Xu, Taiyao Wang, and Wuyang Dai), Statistical Methods in Medical Research, Vol 28, Issue 12, pages 3667-3682, 2019.
  13. “Using Machine Learning to Build a Highly Speci fic Prediction Model of Conception” (with Tingting Xu and Shruthi Mahalingaiah), New England Fertility Society Annual Meeting, May 3-4, 2019, Omni Mt. Washington, Bretton Woods, New Hamphsire.
  14. “Detection of Unwarranted CT Radiation Exposure from Patient and Imaging Protocol Meta-Data Using Regularized Regression” (with Ruidi Chen, Vladimir Valtchinov, Jenifer Siegelman, Hiroto Hatabu), European Journal of Radiology Open, Vol. 6, pages 206-211, 2019.
  15. “Algorithmic Approaches to Personalized Health Care” (with R. Chen, T. Xu, H. Zhu), NSF PI Meeting, Smart Health & Wellbeing Program, September 24-26, 2018, Arlington, Virginia.
  16. “Predicting Chronic Disease Hospitalizations from Electronic Health Records: An Interpretable Classification Approach” (with Theodora S. Brisimi, Tingting Xu, Taiyao Wang, Wuyang Dai, William G. Adams, Proceedings of the IEEE, Vol. 106, 2018, Issue 4 (April), pages 690-707. (Also in arxiv.)
  17. “Federated learning of predictive models from federated Electronic Health Records” (with Theodora S. Brisimi, Ruidi Chen, Theofanie Mela, Alex Olshevsky, and Wei Shi), International Journal of Medical Informatics, Vol. 112, April, 2018, pages 59- 67.
  18. “How Machine Learning Is Helping Us Predict Heart Disease and Diabetes”, Harvard Business Review, May 30, 2017.
  19. “A joint sparse clustering and classification approach with applications to hospitalization prediction”, (with Tingting Xu, Theodora Brisimi, Taiyao Wang, Wuyang Dai), Proceedings of the 55th IEEE Conference on Decision and Control, pages 4566-4571, December 12-14, 2016, Las Vegas, Nevada.
  20. “Predictive Health Analytics”, Invited Talk, Academy of Finland/US NSF Joint Programme on Personalised Health – From Genes to Society, March 17-18, 2016, Helsinki, Finland.
  21. “Classification in the Presence of Hidden Clusters with an Application in Hospitalization Prediction” (with Wuyang Dai, Theodora Brisimi, Tingting Xu, Taiyao Wang, Venkatesh Saligrama), 2015 Workshop on Machine Learning in Healthcare, December 11, 2015, Montreal, Canada.
  22. “A Joint Clustering and Classifcation Approach for Healthcare Predictive Analytics”, (with Wuyang Dai, Theodora Brisimi, Tingting Xu, Taiyao Wang, Venkatesh Saligrama), 2nd Workshop on Data Mining for Medical Informatics (DMMI 2015), November 14th, 2015, San Francicso, California.
  23. “Algorithmic Approaches to Personalized Health Care” (with W. Adams, T. Brisimi, T. Xu, T. Wang), Invited Talk, PI Meeting, NSF Smart and Connected Health Program, June 30-July 1, 2015, Washington, DC.
  24. “Heparin requirements for full anticoagulation are higher for patients on dabigatran than for those on coumadin – a model-based study” (with T. Edrich and G. Frendl), Clinical Pharmacology: Advances and Applications, Vol. 7 (2015), February, pages 19-27.
  25. “Adaptive Control of Bivalirudin in the Cardiac Intensive Care Unit” (with Q. Zhao and T. Edrich), IEEE Transactions on Biomedical Engineering, Vol. 62 (2015), No 2, pages 638–647.
  26. “Prediction of hospitalization due to heart diseases by supervised learning methods” (with W. Dai, T. Brisimi, V. Saligrama, W. Adams, T. Mela), International Journal of Medical Informatics, 2014.
  27. “Adaptive Control of Bivalirudin in the Cardiac Intensive Care Unit” (with Q. Zhao and T. Edrich), Proceedings of the 19th IFAC World Congress, pages 8427-8432, August 24-29, 2014, Cape Town, South Africa.
  28. “Predicting Hospital Admissions for Cardiac Conditions at the Boston Medical Center” (with W. Dai, T. Brisimi, V. Saligrama, T. Mela, and W. Adams), Invited Talk, BU-U. of Warwick Workshop on Improving Health Care System Efficiency, November 21-22, 2013, Boston, MA.
  29. “Predicting and Evaluating the Effect of Bivalirudin in Cardiac Surgical Patients” (with Q. Zhao and T. Edrich), IEEE Transactions on Biomedical Engineering, Vol. 61 (2014), No. 2 (February), pages 435-443.
  30. “Medication dosage control for Cardiac Surgical Patients” (with Q. Zhao), Invited Talk, Control and Adaptation: A 30-Year Journey, A Workshop in honor of Petros Ioannou, University of Cyprus, Cyprus, June 2013.
  31. “Algorithmic Approaches to Personalized Health Care” (with T. Brisimi, W. Dai, Q. Zhao), NSF PI Meeting, Smart Health & Wellbeing Program, June 4-5, 2013, Washington, DC.
  32. “A Predictive Model for the Anticoagulant Bivalirudin Administered to Cardiac Surgical Patients” (with Q. Zhao and T. Edrich), Proceedings of the 52nd IEEE Conference on Decision and Control, December 10-13, 2013, Florence, Italy.
  33. “Heparin requirements for full anticoagulation are lower for patients treated with coumadin than for those on dabigatran or no chronic anticoagulation” (with T. Edrich and G. Frendl), Critical Care Medicine, Vol. 40 (2012), No. 12.
  34. “Tachyphylaxis in post-cardiac surgical patients receiving bivalirudin – a retrospective dynamic study using a PKPD model” (with Thomas Edrich and Gyorgi Frendl), Critical Care Medicine, Vol. 39 (2011), No. 12 (December), pages 198.
  35. “Tachyphylaxis in post-cardiac surgical patients receiving bivalirudin – a retrospective dynamic study using a PKPD model” (with Thomas Edrich, Gyorgi Frendl, and Jim Rawn), Proceedings of the 41st Critical Care Congress, Society of Critical Care Medicine, February 4 -8, 2012, Houston, Texas.
  36. “Posture Detection with Body Area Networks” (with W. Dai, D. Guo, Y. Lin, K. Li, B. Li), Proceedings of the Body Area Networks (BodyNets) Conference, November 7-8, 2011, Beijing, China.
  37. “Modeling the Effects of Bivalirudin in Cardiac Surgical Patients” (with Thomas Edrich, Gyorgi Frendl, and Jim Rawn), Proceedings of the 33rd Annual International IEEE Conference of the Engineering in Medicine and Biology Society (EMBS), August 30-Sept. 3, 2011, Boston, Massachusetts.

Pricing, Resource Allocation, and Revenue Management

  1. “Multiservice Loss Networks: From pricing to distributed resource allocation”, Invited, EURO/INFORMS International Joint Meeting, July 6-10, 2003, Istanbul, Turkey.
  2. “Pricing in Multiservice Loss Networks: Static Pricing, Asymptotic Optimality, and Demand Substitution Effects” (with Y. Liu), IEEE/ACM Transactions on Networking, Vol. 10 (2002), No. 3, pages 425-438. A companion to the ToN2002 paper.
  3. “Distributed Resource Allocation in Multiservice Communication Networks Using Pricing” (with Y. Liu), Invited, Proceedings of the 41st IEEE Conference on Decision and Control, pages 2023-2028, December 2002, Las Vegas, Nevada.
  4. “Pricing and Congestion Control in Multiservice Loss Networks”, (with Y. Liu), Invited, 17th IEEE Annual Computer Communications Workshop, October 2002, Santa Fe, New Mexico.
  5. “Pricing of Real-Time Services in Multiservice Communication Networks” (with Y. Liu), Invited, Workshop on Computer-Aided Modeling, Analysis, and Design of Communication Links and Networks (CAMAD), May 2002, New York City, New York.
  6. “Revenue Management in Multiservice Communication Networks” (with Y. Liu), Invited, INFORMS Conference, November 2001, Miami, Florida.
  7. “Static Pricing in Multiservice Communication Networks” (with Y. Liu), INFORMS 11th Applied Probability Conference, July 2001, New York, New York, page 23.
  8. “Congestion-Dependent Pricing of Network Services” (with J.N. Tsitsiklis), IEEE/ACM Transactions on Networking, Vol. 8 (2000), No. 2, pages 171-184.
  9. “Congestion Dependent Pricing of On-line Internet Services” (with J.N. Tsitsiklis), Invited, Proceedings of the 38th IEEE Conference on Decision and Control, pages 4026-4031, December 1999, Phoenix, Arizona.
  10. “Revenue Management and the Internet” (with J.N. Tsitsiklis), Invited, INFORMS Conference, November 1998, Seattle, Washington.
  11. “Revenue Management in Network Services” (with J.N. Tsitsiklis), Invited, Proceedings of the Fourth INFORMS Telecommunications Conference, March 1998, Boca Raton, Florida.

Sensor Networks

  1. “Formation Detection with Wireless Sensor Networks” (with W. Dai and D. Guo), ACM Transactions on Sensor Networks, Vol. 10 (2014), Issue 4, June.
  2. “Probabilistic Indoor Tracking of Mobile Wireless Nodes Relative to Landmarks” (with K. Li, D. Guo, and Y. Lin), in The Art of Wireless Sensor Networks, Vol. 2: Advanced Topics and Applications, H. M. Ammari (Ed), Springer, 2014, pages 169-200.
  3. “Model-Free Stochastic Localization of CBRN Releases” (with R. T. Locke), IEEE Trans. on Signal Processing, Vol. 61 (2013), Issue 17 (September), pages 4246-4258.
  4. “Composite Hypothesis Testing Error Exponents with Applications to CBRN Release Localization” (with R. T. Locke), Stochastic Networks Conference, June 18-22, 2012, Cambridge, Massachusetts.
  5. “Scheduling Mobile Nodes for Cooperative Data Transport in Sensor Networks” (with R. Moazzez Estanjini and J. Wang), IEEE/ACM Trans. on Networking, Vol. 21 (2013), No. 3 (June), pages 974-989.
  6. “Robust Maximum Lifetime Routing and Energy Allocation in Wireless Sensor Networks” (with R. Wu), International Journal of Distributed Sensor Networks, 2012.
  7. “On Delay-minimized Data Harvesting with Mobile Elements in Wireless Sensor Networks” (with R. Moazzez Estanjini), Ad Hoc Networks, Vol. 10 (2012), pages 1191-1203.
  8. “Stochastic Localization of CBRN Releases” (with R.T. Locke), Proceedings of the 37th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 25-30, 2012, Kyoto, Japan.
  9. “Position and Movement Detection of Wireless Sensor Network Devices Relative to a Landmark Graph” (with K. Li, D. Guo, Y. Lin), IEEE Transactions on Mobile Computing, Vol. 11 (2012), No. 12, pages 1970-1982.
  10. “Guest Editorial Special Issue on Wireless Sensor and Actuator Networks” (with J. Chen, K. H. Johansson, S. Olariu, I. Stojmenovic), IEEE Transactions on Automatic Control, Vol. 56 (2011), No. 10 (October), pages 2244-2246.
  11. “Optimizing Warehouse Forklift Dispatching using a Sensor Network and Stochastic Learning” (with R. Moazzez Estanjini, Y. Lin, K. Li, D. Guo), IEEE Transactions on Industrial Informatics, Vol. 7 (2011), No. 3 (August), pages 476-486.
  12. “Special Issue on Wireless Sensor and Actuator Networks“, Edited Volume (with J. Chen, K. H. Johansson, S. Olariu, I. Stojmenovic), IEEE Transactions on Automatic Control,Volume 56 (2011), Issue 10 (October).
  13. “Distributed Wireless Sensor Networks for Long-term surveillance missions” (with C. G. Cassandras), Invited, DOE NNSA University and Industry Technical Interchange Review Meeting (UITI 2010), December 7 – 9, 2010, Knoxville, Tennessee.
  14. “On Energy Optimized Network Construction for Distributed Averaging in a Dynamic Environment” (with B. Li), Proceedings of the the 18th IFAC World Congress, August 28 – September 2, 2011, Milan, Italy.
  15. “Improved Delay-Minimized Data Harvesting with Mobile Elements in Wireless Sensor Networks” (with R. Moazzez-Estanjini), Proceedings of the 9th Intl. Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), pages 49-54, May 9-13, 2011, Princeton, NJ. Winner of the Student Paper Award.
  16. “On Energy Optimized Averaging in Wireless Sensor Networks” (with B. Li), IEEE Transactions on Automatic Control, Vol. 56 (2011), No. 10 (October), pages 2290-2304.
  17. “On Distributed Multiple Access Control for Wireless Sensor Networks” (with W. Lai and F. Huang), Invited, Proceedings of 48th Annual Allerton Conference on Communication, Control, and Computing, September 29-October 1, 2010, Monticello, Illinois.
  18. “Statistical Anomaly Detection with Sensor Networks” (with Y. Chen), ACM Transactions on Sensor Networks, Vol. 7 (2010), No. 3 (August), pages 17:1-17:23.
  19. “On Energy Optimized Averaging in Wireless Sensor Networks” (with B. Li), Invited, Proceedings of the 48th IEEE Conference on Decision and Control, pages 3763-3768, December 2009, Shanghai, China.
  20. “Wireless Sensor Networks for Localization and Coverage Control” (with C. G. Cassandras), Invited, DOE NNSA University and Industry Technical Interchange Review Meeting (UITI 2009), December 2 – 3, 2009, Clearwater Beach, Florida.
  21. “Model-Free Probabilistic Localization of Wireless Sensor Network Nodes in Indoor Environments” (with K. Li and D. Guo), in Lecture Notes in Computer Science, Vol. 5801 (MELT), pages 66-78, R. Fuller and X. D. Koutsoukos, eds., Springer, 2009.
  22. “Optimized Scheduled Multiple Access Control for Wireless Sensor Networks” (with W. Lai and X. Song), IEEE Transactions on Automatic Control, Vol. 54 (2009), No. 11 (November), pages 2573-2585.
  23. “Intelligent forklift dispatching in warehouses using a sensor network” (with K. Li, R. Moazzez-Estanjini, Y. Lin, and D. Guo), Invited, Proceedings of the 17th Mediterranean Conference on Control and Automation (MED 09), pages 112 – 114, June 24-26, 2009, Thessaloniki, Greece.
  24. “A Control and Optimization Science Base for Sensor Networks in Adverse and Stochastic Environments: Selected Advances of 2008” (with R. Gao, A. Deshmukh, W. Gong, J. Baillieul, C. G. Cassandras, D. Castanon), Proceedings of 2009 NSF Civil, Mechanical and Manufacturing Innovation (CMMI) Grantees Conference, June 2009, Honolulu, Hawai.
  25. “New Results on Distributed wireless sensor networks for long-term deployments” (with C. G. Cassandras), Invited, DOE NNSA University and Industry Technical Interchange Review Meeting (UITI 2008), December 2 – 4, 2008, The Canyons, Utah.
  26. “Statistical Location Detection” (with S. Ray, W. Lai, and D. Guo), in Localization Algorithms and Strategies for Wireless Sensor Networks: Monitoring and Surveillance Techniques for Target Tracking, Guoqiang Mao and Baris Fidan, eds., IGI Global, 2009, pages 230-257.
  27. “Robust and Distributed Stochastic Localization in Sensor Networks: Theory and Experimental Results” (with D. Guo), ACM Transactions on Sensor Networks, Vol. 5 (2009), No. 4 (November), pages 34:1–34:22.
  28. “Anomaly Detection in Sensor Networks based on Large Deviations of Markov Chain Models” (with Yin Chen), Invited, Proceedings of the 47th IEEE Conference on Decision and Control, pages 2338-2343, December 2008, Cancun, Mexico.
  29. “On Robust Maximum Lifetime Routing in Wireless Sensor Networks” (with Ruomin Wu), Proceedings of the 47th IEEE Conference on Decision and Control, pages 1684-1689, December 2008, Cancun, Mexico.
  30. “Localization in Sensor Nets: Adventures in Decision Theory and Facility Location” (with D. Guo), Invited, INFORMS Annual Meeting, October 12-15, 2008, Washington, D.C.
  31. “Landmark-based position and movement detection of wireless sensor network devices” (with Keyong Li and Dong Guo), Proceedings of 46th Annual Allerton Conference on Communication, Control, and Computing, pages 7-14, September 23–26, 2008, Monticello, Illinois.
  32. “Robust sensor network localization via composite hypothesis testing”, Invited, Information Theory and Applications Workshop, January 27 – February 1, 2008, University of California, San Diego, California.
  33. “Distributed wireless sensor networks for long-term deployments” (with C.G. Cassandras), Invited, DOE NNSA University Conference, November 27 – 28, 2007, Central Florida Research Park, Orlando, Florida.
  34. “A decomposition method for transmission scheduling in multi-channel wireless sensor networks” (with W. Lai and X. Song), Proceedings of the IEEE INFOCOM Conference, April 2008, Phoenix, Arizona.
  35. “Optimally Balancing Energy Consumption versus Latency in Sensor Network Routing” (with W. Lai), ACM Transactions on Sensor Networks, Vol. 4 (2008), No. 4, pages 21:1-21:28.
  36. “A Control and Optimization Science Base for Sensor Networks in Adverse and Stochastic Environments: Selected Advances of 2007” (with C. G. Cassandras, J. Baillieul, D. Castanon, R. Gao, W. Gong, A. Deshmukh), Proceedings of 2008 NSF Civil, Mechanical and Manufacturing Innovation (CMMI) Grantees Conference, January 2008, Knoxville, Tennessee.
  37. “Robust and Distributed Localization in Sensor Networks” (with D. Guo), Invited, Proceedings of the 46th IEEE Conference on Decision and Control, pages 933-938, December 2007, New Orleans, Louisiana.
  38. “Solving Sensor Network Coverage Problems by Distributed Asynchronous Actor-Critic Methods” (with P. Pennesi), Proceedings of the 46th IEEE Conference on Decision and Control, pages 5300-5305, December 2007, New Orleans, Louisiana.
  39. “Optimal Transmission Scheduling Policies for Wireless Sensor Networks with Frequency Diversity” (with W. Lai and X. Song), Proceedings of the 46th IEEE Conference on Decision and Control, pages 512-517, December 2007, New Orleans, Louisiana.
  40. “Sensor Network Minimal Energy Routing with Latency Guarantees” (with W. Lai), Proceedings of the ACM MobiHoc 2007 Conference, pages 199-208, September 9-14, 2007, Montreal, Canada.
  41. “Routing through noise and sleeping nodes in sensor networks: latency vs. energy trade-offs” (with W. Lai), Proceedings of the 45th IEEE Conference on Decision and Control, pages 2716-2721, December 2006, San Diego, California.
  42. “Sensor Networks: Localization, Transmission Scheduling, and Energy-Aware Routing with QoS Guarantees”, Invited, Workshop on Challenges and Opportunities in Distributed Sensor Networks, Center for Nonlinear Studies, Los Alamos National Laboratory, March 9-10, 2006, Los Alamos, New Mexico.
  43. “A Control and Optimization Science Base for Sensor Networks in Adverse an d Stochastic Environments: New Advances” (with C. G. Cassandras, J. Baillieul, D. Castanon, R. Gao, W. Gong, A. Deshmukh), Proceedings of 2006 NSF Design, Service, and Manufacturing Grantees and Research Conference, January 2006, St. Louis, Missouri.
  44. “Asymptotically Optimal Transmission Policies for Large-Scale Low-Power Wireless Sensor Networks” (with W. Lai and D. Starobinski), IEEE/ACM Transactions on Networking, Vol. 15 (2007), No. 1, pages 105-118. Paper on-line companion.
  45. “Statistical Location Detection with Sensor Networks” (with S. Ray and W. Lai), IEEE Transactions on Information Theory, Joint special issue with IEEE/ACM Transactions on Networking on Networking and Information Theory, Vol. 52 (2006), No. 6, pages 2670-2683.
  46. “Joint Transmission Scheduling and Routing for Low-Power Wireless Sensor Networks is Polynomially Solvable”, Invited, Computer Communications Workshop, October 2005, Huntington Beach, California.
  47. “Optimizing transmissions and routing in sensor networks is polynomially solvable” (withWei Lai and D. Starobinski), Proceedings of the Intelligent Systems in Design and Manufacturing Conference, SPIE Symposium, October 2005, Boston, Massachusetts.
  48. “Deployment Optimization of Sensornet-Based Stochastic Location-Detection Systems” (with Saikat Ray and Wei Lai), Proceedings of the IEEE INFOCOM Conference, March 2005, Miami, Florida.
  49. “Asymptotically Optimal Transmission Policies for Low-Power Wireless Sensor Networks” (with Wei Lai and D. Starobinski), Proceedings of the IEEE INFOCOM Conference, March 2005, Miami, Florida.
  50. “Statistical Location Detection in Sensor Networks”, Invited, Workshop on Rare events in communication networks, EURANDOM, February 2005, Eindhoven, The Netherlands.
  51. “A Control and Optimization Science Base for Sensor Networks in Adverse and Stochastic Environments” (with C. G. Cassandras, J. Baillieul, D. Castanon, R. Gao, W. Gong, A. Deshmukh), Proceedings of the 2005 NSF DMII Grantees Conference, January 2005, Scottsdale, Arizona.
  52. “Optimizing location detection services in wireless sensor networks” (with S. Ray), Proceedings of the 43rd IEEE Conference on Decision and Control, December 2004, pages 1478-1483, Paradise Island, Bahamas.
  53. “On maximizing the utility of uplink transmissions in sensor networks under explicit fairness constraints” (with Wei Lai and D. Starobinski), Proceedings of the 43rd IEEE Conference on Decision and Control, pages 1010-1015, December 2004, Paradise Island, Bahamas.

Stochastic Networks, Scheduling, Queueing Networks

  1. “Robust fluid processing networks” (with D. Bertsimas and E. Nasrabadi), IEEE Transactions on Automatic Control, Vol. 60 (2015), No 3, pages 715-728.
  2. “Target-Pursuing Scheduling and Routing Policies for Multiclass Queueing Networks” (with C. Su and M.C. Caramanis), IEEE Transactions on Automatic Control, Vol. 49 (2004), No. 10, pages 1709-1722.
  3. “New Scheduling Policies for Multiclass Queueing Networks: Applications to Peer-To-Peer Systems” (with C. Su and M.C. Caramanis), Proceedings of the 42nd IEEE Conference on Decision and Control, December 2003, Maui, Hawaii.
  4. “Target-Pursuing Policies for Open Multiclass Queueing Networks” (with C. Su and M.C. Caramanis), Proceedings of the IEEE INFOCOM Conference, April 2003, San Francisco, California.
  5. “New scheduling policies for multiclass queueing networks” (with M. Caramanis and C. Su), Invited, INFORMS Conference, November 2001, Miami, Florida.
  6. “Target-pursuing policies for multiclass queueing networks” (with M. Caramanis and C. Su), INFORMS 11th Applied Probability Conference, July 2001, New York, New York, page 21.
  7. “Branching Bandits and Klimov’s Problem: Achievable Region and Side Constraints” (with D. Bertsimas and J.N. Tsitsiklis), IEEE Transactions on Automatic Control, Vol. 40 (1995), No. 12, pages 2063-2075.
  8. “Branching Bandits and Klimov’s Problem” (with D. Bertsimas and J.N. Tsitsiklis), Invited, Proceedings of the 8TH INFORMS Applied Probability Conference, June 1995, Atlanta, Georgia.
  9. “Optimization of Multiclass Queueing Networks: Polyhedral and Nonlinear Characterizations of Achievable Performanc” (with D. Bertsimas and J.N. Tsitsiklis), The Annals of Applied Probability, Vol. 4 (1994), No. 1, pages 43-75.
  10. “Branching Bandits and Klimov’s Problem: Achievable Region and Side Constraints” (with D. Bertsimas and J.N. Tsitsiklis), Proceedings of the 33rd IEEE Conference on Decision and Control, Vol. 1, pages 174-179, December 1994, Lake Buena Vista, Florida.
  11. “Branching Bandits and Klimov’s Problem: Achievable Region and Side Constraints” (with D. Bertsimas and J.N. Tsitsiklis), ORSA/TIMS conference, April 1994, Boston, Massachusetts.
  12. “Scheduling of Multiclass Queueing Networks: Bounds on Achievable Performance” (with D. Bertsimas and J.N. Tsitsiklis), Invited, Proceedings of the Workshop on hierarchical control for real-time scheduling of manufacturing systems, 1992, Lincoln, New Hampshire.
  13. “Scheduling of Multiclass Queueing Networks: Bounds on Achievable Performance” (with D. Bertsimas and J.N. Tsitsiklis), ORSA/TIMS conference, November 1992, San Francisco, California.

Transportation Networks, Smart Cities

  1. “Joint Pricing and Rebalancing of Autonomous Mobility-on-Demand Systems” (with Salomon Wollenstein-Betech and Christos G. Cassandras), Proceedings of the 59th IEEE Conference on Decision and Control, December 8-11, 2020, virtual.
  2. “Congestion-aware Routing and Rebalancing of Autonomous Mobility-on-Demand Systems in Mixed Traffic” (with Salomon Wollenstein-Betech, Arian Houshmand, Mauro Salazar, Marco Pavone, and Christos G. Cassandras), 23rd Intelligent Transportation Systems Conference (IEEE ITSC 2020), September 20-23, 2020, virtual.
  3. “Explainability of Intelligent Transportation Systems using Knowledge Compilation: a Traffic Light Controller Case” (with Salomon Wollenstein-Betech, Christian Muise, Christos G. Cassandrass, and Yasaman Khazaeni), 23rd Intelligent Transportation Systems Conference (IEEE ITSC 2020), September 20-23, 2020, virtual.
  4. “Alleviating Traffic Congestion: From Data to Models and Proposed Solutions”, Chinese Congress of Automation Control, November 24, 2019, Hangzhou, China.
  5. “Joint Estimation of OD Demands and Cost Functions in Transportation Networks from Data” (with Salomon Wollenstein-Betech, Chuangchuang Sun, and Jing Zhang), Proceedings of the 58th IEEE Conference on Decision and Control, pages 5113-5118, December 11-13, 2019, Nice, France.
  6. “From Data to Models and Proposed Solutions”, Invited Talk, Workshop on Control for Networked Transportation Systems (CNTS), July 9, 2019, Philadelphia, Pennsylvania.
  7. “Congestion Maps: A visual interactive data-driven platform tracking annual traffic conditions in the Eastern Massachusetts area” (with Salomon Wollenstein Betech and Christos Cassandras), Boston Area Research Initiative Spring Conference, April 26, 2019, Boston, Massachusetts.
  8. “The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies” (with Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras), Proceedings of the IEEE, Vol. 106, 2018, Issue 4 (April), pages 538-553. (Also in arxiv.)
  9. “Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks”, (with Jing Zhang), Proceedings of the 56th IEEE Conference on Decision and Control, December 12-15, 2017, Melbourne, Australia. (Also in arxiv.)
  10. “Anomaly detection in transportation networks using machine learning techniques” (with Athanasios Tsiligkaridis), IEEE MIT Undergraduate Research Technology Conference (URTC), November 3-5. 2017, Cambridge, MA.
  11. “From Data to Less Congested Boston Roads”, (with Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras), Boston Area Research Initiative Spring Conference, March 10, 2017, Boston, Massachusetts.
  12. “Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks”, (with Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras), Proceedings of the 20th IFAC World Congress, pages 9680-9685, July 9-14, 2017, Toulouse, France.
  13. “Inverse Equilibrium Problems and Price-of-Anarchy Estimation in Transportation Networks”, 2nd Information Modeling & Control of Complex Systems (IMaCCS) Workshop, June 1-2, 2017, Ohio State University, Columbus, Ohio.
  14. “Price of Anarchy in Transportation Networks by Estimating User Cost Functions from Actual Traffic Data”, (with Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras), Proceedings of the 55th IEEE Conference on Decision and Control, pages 789-794, December 12-14, 2016, Las Vegas, Nevada.
  15. “A cyberphysical infrastructure for the ‘smart city’” (with C. G. Cassandras, A. Bestavros, A. Kfoury, R. X. Gao, W. B. Gong), NSF CPS PI Meeting, October 17-18, 2013, Washington, DC.
  16. “Optimizing the Transportation System’s Response Capabilities” (with C.G. Cassandras), Journal of Homeland Security, Special Issue on “Catastrophes and Complex Systems: Transportation”, Published June 23, 2011.
  17. “Optimizing the Transportation System’s Response Capabilities” (with C.G. Cassandras), DHS Science Conference, March 30-April 1, 2011, Washington, DC.