I study spatiotemporal computing. This is a paradigm that utilizes spatiotemporal principles to devise cutting-edge computing technologies and solutions, enabling the development of trailblazing new methodologies, tools, and software to address global challenges such as climate change and natural disasters.
Zollweg, J. (2017). “Extracting Spatiotemporal Objects from Raster Data to Represent Physical Features and Analyze Related Processes”, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W2, 2017.
J.C. Makarewicz , T.W. Lewis, M. Winslow, E. Rea, L. Dressel, D. Pettenski, B.J. Snyder, P. Richards, J. Zollweg (2015). “Utilizing intensive monitoring and simulations for identifying sources of phosphorus and sediment and for directing, siting, and assessing BMPs: The Genesee River example,” Journal of Great Lakes Research 41 (2015) 743–759
Rao, T. M., Mitra, S., Zollweg, J.A. (2011). “Snow-Plow Route Planning using AI Search,” Proceedings of the 2011 IEEE International Conference on Systems, Man and Cybernetics, Anchorage, AK, October 2011.
Rao, T. M., Mitra, S., Zollweg, J.A., Sahin, F. (2011). “Computing Optimal Snow Plow Route Plans using Genetic Algorithms,” Proceedings of the 2011 IEEE International Conference on Systems, Man and Cybernetics, Anchorage, AK, October 2011.
Zollweg, J.A., Mitra, S., Rao, T. M. (2011). “Optimized snow plow routing using the A* artificial intelligence algorithm can save 12% on plowing costs,” American Public Works Association (APWA) Reporter, 10th Edition, vol. 77, pp. 42-43.
Makarewicz, J., T. W. Lewis, I. Bosch, M. R. Noll, N. Herendeen, R.D. Simon, J.A. Zollweg, A. Vodacek, The impact of agricultural best management practices on downstream systems: Soil loss and nutrient chemistry and flux to Conesus Lake, New York, USA, Journal of Great Lakes Research, Volume 35, Supplement 1, Special issue on Watershed Management and Nearshore Lake Water Quality, The Conesus Lake Watershed Study, 2009, Pages 23-36.
Zollweg, J.A. , J. C. Makarewicz, Detecting effects of Best Management Practices on rain events generating nonpoint source pollution in agricultural watersheds using a physically-based stratagem, Journal of Great Lakes Research, Volume 35, Supplement 1, Special issue on Watershed Management and Nearshore Lake Water Quality, The Conesus Lake Watershed Study, 2009, Pages 37-42.