IGERT Smart Grid

Conference Papers

Anderson, I., Rizzo, D.M., Huston, D., & Dewoolkar, M. M. (2015). System-wide assessment of vulnerability of bridges to scour under extreme flood events. 7th International Conference on Structural Health Monitoring of Intelligent Infrastructure. Torino, Italy.

Bongard, J. C., Bernatskiy, A., Livingston, K., Livingston, N., Long, J., & Smith, M. (2015) Evolving robot morphology facilitates the evolution of neural modularity and evolvability. Genetic and Evolutionary Computation Conference (GECCO). Madrid, Spain

Cheney, N., Bongard, J. C., Lipson, H. (2015). Evolving soft robots in tight spaces. Genetic and Evolutionary Computation Conference (GECCO). Madrid, Spain.

Ghanavati, G., Lakoba, T., Hines, P. (2015). Finding Useful Statistical Indicators of Instability in Stochastically Forced Power Systems. SIAM Dynamical Systems. Snowbird, Utah.

Hanning, J., Rizzo, D. M, and Toolin, R. (2015). The Vermont STEM Collaborative. SMTI 2015 National Conference. Roundtable Session, New Orleans, Louisiana.

Hinckley, D.H., Hitt, D.L., & Eppstein, M.J. (2015). Evolutionary optimization of satellite formation topology over a region of interest. AIAA Guidance, Navigation, and Control Conference, AIAA SciTech, (AIAA 2015-1554). DOI: http://arc.aiaa.org/doi/10.2514/6.2015-1554

Kim, D., Lee, J., & Lee, B. (2016).  Topical influence modeling via topic-level interests and interactions on social curation services. Proceedings of the IEEE International Conference on Data Engineering, Finland. (accepted)

Wagy, M., Bongard, J. C. (2015). Crowdseeding: a novel approach for designing bioinspired machines. Fourth Intl Conf on Biomimetics and Biohybrid Systems (Living Machines 2015). Barcelona, Spain.

Yousefi, A., Bongard, J. C., Skalka, C. (2015). A Genetic Programming approach to cost-sensitive control in resource constrained sensor systems. Genetic and Evolutionary Computation Conference (GECCO 2015). Madrid, Spain.

Zieba, K., Bongard, J. C. (2015). An embodied approach for evolving robust visual classifiers. Genetic and Evolutionary Computation Conference (GECCO). Madrid, Spain.

Anderson, I., Dewoolkar, M., Rizzo, D.M., Frolik, J., & Huston, D., “Targeted deployment of scour monitoring sensors for at-risk bridges,” In J. P. Lynch, K.,Wang, & H., Sohn (Eds.) Proc. SPIE 9061, Sensors and Smart Structures Technologies
for Civil, Mechanical, and Aerospace Systems 2014 (90611J). San Diego, CA: SPIE. March 2014.

Acharya, S. & Lee, B.S., “Fast causal network inference over event streams,” In L. Bellatreche, & M. K. Mohania, (Eds.) Proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery (26-29). Czech Republic:
Springer. August 2013.

Chichakly, K.J., & Eppstein, M.J., “Improving uniformity of solution spacing in biobjective evolution,” In C. Blum (Ed.) Proceedings Companion of the 2013 Genetic and Evolutionary Computation Conference (GECC0) (87-88), Amsterdam, NL: ACM. July 2013.

Hines, P. ; “Estimating Cascading Failure Risk with Random Chemistry.,” Symposium at DIMACS/CCICADA Workshop on Cascading Failures of Power Transmission Systems: Models and Algorithms. Rutgers University, Newark, NJ. Feb. 2013.

Hines, P. ; “Random Chemistry and Dual Graphs: Two ways to understand cascading failures in power grids.,” Symposium at SIAM Conference on Computational Science & Engineering. Boston, MA. Feb. 2013.

Koliba, C., Brune, N., Berman, M., & Zia, A.; “The Salience and Complexity of Building and Governing the Smart Grid: Lessons from a Statewide Public-Private Partnership,” American Society for Public Administration. New Orleans, LA. 2013.

Skalka, C., & Frolik, J., “Snowcloud: A complete data gathering system for snow hydrology research,” In K., Langendoen, W., Hu, F., Ferrari, M., Zimmerling, & L., Mottola (Eds.) Proceedings of the Fifth Workshop on Real-World Wireless Sensor Networks (3-14). Lake Como, Italy: Springer International Publishing. September 2013.

Xiao, Z., Wen, H., Markham, A., Trigoni, N., Blunsom, P., & Frolik, J., “Identification and mitigation of non-line-of-sight conditions using received signal strength,” In The IEEE 9th International Conference on Wireless and Mobile Computing,
Networking and Communications (667-674), Lyon, France. October 2013.

Burnham, L., Brune, N., and Koliba; “It Takes a Village: an Innovative Partnership to Drive Energy Security in Vermont,” NDIA Environment, Energy Security and Sustainability Symposium conference.

Chesnutt, J.K.W., & Marshall, J.S. ; “Simulation of particle separation on an inclined electric curtain with a discrete element method,” Proceedings of the Electrostatics Society of America. Cambridge, ON, Canada. 2012.

Frolik, J. and Hines, P.D.; “Random access, electric vehicle charge management,” 1st IEEE International Electric Vehicle Conference, Greenville, SC, March 4-8, 2012.

Frolik, J., Seier, A., Palombini, C. and Lentine, A.; “Dynamic communication control for μgrid agents,” IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference. Berlin, Germany, October 14-17, 2012.

Frolik, J. and Hines, P.; “Urgency-driven, plug-in electric vehicle charging,” IEEE PES Innovative Smart Grid Technologies (ISGT) Europe Conference, Berlin, Germany, October 14-17, 2012..

Hilshey, A., Rezaei, P., Hines, P., and Frolik, J.; “Electric vehicle charging: Transformer impacts and smart, decentralized solutions,” IEEE Power and Energy System General Meeting, San Diego CA, July 22-26, 2012.

Koliba, C., & Zia, A.; “Governance Informatics: Using Computer Simulation Models to Deepen Situational Awareness and Governance Design Considerations,” 8th Annual TransAtlantic Dialogue. Nijmegen, The Netherlands. 2012.

Krupa, J.S., Chatterjee, S., Eldridge, E., Rizzo, D.M., and Eppstein, M.J. ; “Evolutionary Feature Selection for Classification: A Plug-In Hybrid Vehicle Adoption Application,” accepted for Genetic and Evolutionary Computation Conference (GECCO), 2012.

Manukyan, N., Eppstein, M.J., Horbar, J.D., Leahy, K.A., Kenny, M.J., Mukherjee, S., & Rizzo, D.M.; “Evolutionary Mining for Multivariate Associations in Large Time-Varying data sets: a Healthcare Network Application.,” In T. Soule (Ed). Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion (1547-1548). New York, New York: ACM. 2012.

Mukherjee, S., & Eppstein, M.J.; “Differential Evolution of Constants in Genetic Programming Improves Efficacy and Bloat,” In T. Soule (Ed). Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion (625-626). New York, New York: ACM. 2012.

Myers, O., Wu, J.R., & Marshall, J.S.; “Dust removal using the electric curtain technology relevant to the NASA space exploration project,” Proceedings of the Electrostatics Society of America. Cambridge, ON, Canada. 2012.

Udaykumar, H.S., Marshall, J.S., Vigmostad, S., & Chandran, K.B. ; “Multi-scale modeling of blood flow in cardiovascular prosthetic devices,” Symposium at Multiscale Modeling (MSM) Consortium Meeting, Bethesda, Maryland. Oct. 2012.

Parmer, C., Cotilla-Sanchez, E., Thornquist, H.K., and Hines, P.D.; “Developing a Dynamic Model of Cascading Failure for High Performance Computing using Trilinos,” Proc. of HiPCNA-PG 2011, Seattle, 2011.