Simply Easy Learning

Donna's research focuses on the development of new computational tools to improve the understanding of human-induced changes on natural systems and the way we make decisions about natural resources. In 1995, she co-founded a small Vermont business to help speed the diffusion of research and new technologies into environmental practice. Since joining UVM in fall 2002, she has worked on a number of computational approaches to multi-scale environmental problems, including using artificial neural networks to 1) develop maps of discrete spatially-distributed fields (e.g., log-hydraulic conductivity and soil lithology), 2) predict local disease risk indicators from multi-scale weather, land and crop data, 3) image and analyze the parameter structure of subcutaneous connective tissue in humans, 4) predict the shrink/swell of soils and 4) develop a watershed classification system using hierarchical artificial neural networks for diagnosing watershed impairment at multiple scales.

Contact Information
Address:
213 Votey Hall, 33 Colchester Ave, Burlington, VT 05405, United States
Phone:
(802)-656-1495
E-mail:
drizzo@uvm.edu

Education
Doctor of Philosophy (Ph. D.) in Civil & Environmental Engineering

University of Vermont

M.S - Civil Engineering

University of California, Irvine

Art and Archeology

University of Florence, Italy

Civil Engineering (Honors College)

University of Connecticut, Storrs

Graduate Students
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Ali Javed

Ph.D. in Computer Science (expected graduation 2021)

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Jeremy Matt

Ph.D. in Complex Systems (expected graduation 2022)
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Kevin Andrew

Ph.D. in Computer Science (expected graduation 2021)
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Lindsay Taylor

Ph.D. in Civil and Enviornmental Engineering (expected graduation 2022)
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Jesse Gourevitch

Ph.D. in Natural Resources (expected graduation 2021)

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Jessica Buckley

M.S. in Civil and Environmental Engineering (expected graduation 2022)
Ph.D. Students (Graduated)
  1. Kristen Underwood, (graduated summer 2018), Ph.D. in Civil and Environmental Engineering, Dissertation: Smart Classifiers and Bayesian Inference for Evaluating River Sensitivity to Natural and Human Disturbances: A Data Science Approach. Co-advised with M. Dewoolkar.
  2. Ian Anderson, (graduated winter 2018), Ph.D. in Civil and Environmental Engineering. Dissertation: Improving Detection and Prediction of Bridge Scour Damage and Vulnerability under Extreme Flood Events using Geomorphic and watershed Data. Co-advised with primary advisor M. Dewoolkar.
  3. Scott Hamshaw, (graduated fall 2017), 3-year NSF Graduate Research Fellowship recipient, Ph.D. in Civil and Environmental Engineering. Dissertation: Fluvial Processes in Motion: Measuring Bank Erosion and Suspended Sediment Flux using Advanced Geomatic Methods and Machine Learning.
  4. John Hanley, (graduated spring 2017), Ph.D. in Civil and Environmental Engineering, Dissertation: Development of a new evolutionary algorithm to mine noisy, epistatic, geospatial survey data associated with Chagas Disease.
  5. Justin Guilbert, (graduated fall 2016), Ph.D. in Civil and Environmental Engineering, Dissertation: The Impacts of Climate Change on Precipitation and Hydrology in the Northeastern United States. Co-advised with primary advisor A. Bomblies.
  6. Nikolaos Fytilis, (graduated fall 2013), Ph.D. in Civil and Environmental Engineering, Dissertation: Data Classification and Uncertainty Assessment: Development of a New Bayesian Artificial Neural Network with Applications to Stream Health Classification using Multiple Environmental Assessment and Genetic Data.
  7. Bree Mathon, (graduated winter 2011), Ph.D. in Civil and Environmental Engineering, Dissertation: Assessing Uncertainty in Modeling Physical Processes Associated with Groundwater and Watershed Problems using Fuzzy Mathematics. Co-advised with G.F. Pinder.
  8. Andrea Pearce, (graduated winter 2010), Ph.D. in Civil and Environmental Engineering, Dissertation: Combining Computational and Human Neural Networks: using Modified Self-Organizing Map to Explore Surface and Subsurface Hydrochemical and Biological Datasets.
  9. Lance E. Besaw, (graduated fall 2009), Ph.D. in Civil and Environmental Engineering, Dissertation: Advances in Artificial Neural Networks in Surface and Subsurface Hydrological Environmental Engineering Applications.
  10. Maeve McBride, (graduated summer 2007), Ph.D. in Civil and Environmental Engineering, Dissertation: Riparian Reforestation and Channel Morphology: Key Driving Mechanisms in Small Streams. Co-advised with W.C. Hession.
  11. Paula J. Mouser, (graduated spring 2006), Ph.D. in Civil and Environmental Engineering, Dissertation: Improving Detection and Long-term Monitoring Strategies for Landfill Leachate Contaminated Groundwater with Molecular-Based Microbiological Data using Geostatistics and Artificial Neural Networks.
M.S. Students (Graduated)
  1. Andrea Elhajj, (graduated winter 2020), M.S. in Civil and Environmental Engineering. Research Project: Monitoring Perioperative Services using 3D Multi-objective Performance Frontiers.
  2. Cameron Twombly, (graduated summer 2019), M.S. in Civil & Environmental Engineering. Research Project: Edge of Field Hydrology and Nutrient Fluxes within Northeastern Agroecosystems: Evaluation of Alternative Management Practices and Water Quality Models. Co-advised with primary advisor Joshua Faulkner.
  3. Douglas Denu, (graduated winter 2018), M.S. in Computer Science. Research project: Predicting Reach-scale Sediment Regimes to Prioritize Restoration and Conservation.  Co-advised with Asim Zia.
  4. Viktoria Manukyan, (graduated spring 2018), M.S. in Complex Systems. Research project: Automated Detection of Conversational Pauses from Audio Recordings of Serious Illness Conversations in Natural Hospital Settings. Co-advised with Primary advisor Maggie Eppstein.
  5. Baxter Miatke, (graduated fall 2016), M.S. in Civil and Environmental Engineering. Thesis: A Framework for estimating Nutrient and Sediment Load that Leverages the Temporal Variability Embedded in Water Monitoring Data.
  6. Matt Brand, (graduated fall 2016), M.S. in Civil and Environmental Engineering. Thesis: A Framework for estimating Nutrient and Sediment Load that Leverages the Temporal Variability Embedded in Water Monitoring Data. Co-advised with Mandar Dewoolkar.
  7. Lucas Howard, (graduated spring 2016), M.S. in Civil and Environmental Engineering. Thesis: Leveraging the Information Content of Process-based Models using Differential Evolution and the Extended Kalman Filter.
  8. Thomas Bryce, (graduated spring 2016), M.S. in Civil and Environmental Engineering. Research Project: Quantifying streambank erosion through Terrestrial LiDAR and an Unmanned Aircraft System (UAS).
  9. Jordan Duffy, (graduated spring 2016), M.S. in Civil and Environmental Engineering. Research Project: Assessing Sediment Activity in Vermont Streams using Geomorphic Data.
  10. David Grover, (graduated fall 2014), M.S. in Civil and Environmental Engineering, Thesis: Surface Gas Permeability of Porous Materials: Measurement, Analysis and Applications. Co-advised with M.M. Dewoolkar.
  11. Scott Hamshaw, (graduated fall 2013), Ph.D. in Civil and Environmental Engineering, Thesis: Suspended Sediment Prediction using Artificial Neural Networks and Local Hydrometeorological Data.
  12. Joseph Krupa, (graduated spring 2013), M.S. in Civil and Environmental Engineering, Thesis: Plug-In Hybrid Vehicle Consumer Survey Analysis. Co-advised with M.J. Eppstein.
  13. Alison Pechenick, (graduated spring 2013), M.S. in Civil and Environmental Engineering, Dissertation: A Multi-scale Approach to Assess the Hydrological Connectivity of Road and Stream Networks.
  14. Kirk DuBois Jones, (graduated fall 2012), Non-Thesis M.S. in Civil and Environmental Engineering, Report Topic: Determining the Effects of Adsorption Bed Media on Water Quality: Measuring the effects of crushed coral sand, activated carbon, biochar, and steel slag mitigating the impacts of dairy farm runoff on Lake Champlain.
  15. Keith Pelletier, (graduated fall 2011) M.S. in School of Natural Resources, Thesis: Use of Remote Sensing to Derive Geomorphic Features Indicative of Stream Stability. Co-advised with Primary Advisor L. Morrissey.
  16. Cabot Savidge, (graduated fall 2011) M.S. in School of Engineering, Thesis: Characterization of Porous Building Materials for Agent Transport Prediction using Artificial Neural Networks. Co-advised with Primary Advisor M.M. Dewoolkar.
  17. Ryan Butryn, (graduated fall 2010), M.S. in the Rubenstein School of Environment and Natural Resources, Thesis Topic: Summer Stream Temperature as an Indicator of Coldwater Fish Distribution. Co-advised with Primary Advisor D. Parrish.
  18. Martin Lee, (graduated spring 2009), M.S. in Civil and Environmental Engineering, Thesis: Pilot-Scale Constructed Wetlands Combined with Phosphorus Removing Slag Filters for Treating Dairy Wastewater.
  19. Zhiqiang Li, (graduated spring 2007), M.S. in Civil and Environmental Engineering, Thesis: Applications using the Ordinary and Extended Kalman Filters to Characterize Groundwater Contaminant Sources.
  20. Jessica S. Clark, (graduated spring 2006), M.S. in Civil and Environmental Engineering, Thesis: Modeling of Small Streams to Assess Velocity Distribution Influence and Geomorphic Condition on Habitat Indices.
  21. Lance E. Besaw, (graduated spring 2006), M.S. in Civil and Environmental Engineering, Thesis: Conditional Simulations using Artificial Neural Networks.
  22. Jeffrey J. Doris, (graduated fall 2005), M.S. in Civil and Environmental Engineering, Thesis: Application of Counterpropagation Networks (ANNs) to Problems in Civil Engineering.
  23. Charles D. Mark, (graduated fall 2004), M.S. in Civil and Environmental Engineering, Thesis: Predicting Experienced Travel Time for Freeway and Arterial Systems: An Artificial Neural Network Approach. Co-advised with Primary Advisor A. Sadek.
  24. Patrick Sullivan, (graduated fall 2000), M.S. in Civil and Environmental Engineering, Thesis: Hierarchical Artificial Neural Networks for Regionalized Co-Kriging. Advised while on an unpaid leave of absence from UVM.
Publications (Published or Accepted)

Note: Student authors are underlined (below)

1.     Hirsch, L., D.M. Rizzo, J. Straton, L.A. Clarfeld, C.J. Gramling, B.N. Durieux, M.J. Eppstein, and R. Gramling, “Does Hospital Room Environment Affect Serious Illness Conversation Dynamics?”, Journal of Palliative Medicine, 24(1), doi:10.1089/jpm.2020.0467, (2021).

2.     Javed, A., S.D. Hamshaw, B. Lee, and D.M. Rizzo. “Multivariate Event Time Series Analysis using Hydrological and Suspended Sediment Data”, Journal of Hydrology, doi:10.1016/j.jhydrol.2020.125802, (2021).

3.     Kostrubiak, M., C.M. Vatovec, L.A. Dupigny-Giroux, D.M. Rizzo, W. Pagnelli, and M.H. Tsai, “Water Pollution and Environmental Concerns in Anesthesiology”, Journal of Medical Systems, 44(0):169, doi:10.1007/s10916-020-01634-2, (2020).

4.     Ren, Q., A. Zia, D.M. Rizzo and N. Mathews, “Modeling the Influence of Public Risk Perceptions on the Adoption of Green Stormwater Infrastructure: An Application of Bayesian Belief Networks Versus Logistic Regressions on a Statewide Survey of Households in Vermont”, Water, 12(2793), doi:10.3390/w12102793, (2020).

5.     Doran, E.B., A. Zia, S.E. Hurley, Y. Tsai, C. Koliba, E.C. Adair, R. Schattman, D.M Rizzo, and V.E. Mendez. “Social-Psychological Determinants of Farmer Intention to Adopt Nutrient Best Management Practices: Implications for Resilient Adaptation to Climate Change”, Journal of Environmental Management, doi:10.1016/j.jenvman.2020.111304, (2020).

6.     Gramling R., J. Straton, LT Ingersoll, L.A. Clarfeld, L. Hirsch, C.J. Gramling, B.N. Durieux, D.M. Rizzo, M.J. Eppstein, and S.C. Alexander, “Epidemiology of Fear, Sadness and Anger Expression in Palliative Care Conversations”, Journal of Pain and Symptom Management, doi:10.1016/j.jpainsymman.2020.08.017, (2020).

7.     Javed, A., D.M. Rizzo and B. Lee. “ A Benchmark Study on Time Series Clustering”, Machine Learning with Applications, (Vol. 1), doi:10.1016/j.mlwa.2020.100001, (2020).

8.     Hanley, J.P., D.M. Rizzo, L. Stevens, S.H. Cahan, P.L. Dorn, L.A. Morrissey, A. Guadalupe Rodas, L.C. Orantes and C. Monroy, “Novel Evolutionary Algorithm Identifies Interactions Driving Infestation of Triatoma dimidiata, a Chagas Disease Vector”, American Journal of Tropical Medicine & Hygiene, Vol. 103 (2), pp.735-744, doi:10.4269/ajtmh.18-0733, (2020).

9.     Anderson, I, J. Hanley, D.M. Rizzo, D.R. Huston, and M.M. Dewoolkar, “Evaluating Damage to Vermont Bridges by Hurricane Irene with Multivariate Bridge Inspection and Stream Hydrogeologic Data”, Journal of Bridge Engineering, doi:10.1061/(ASCE)BE.1943-5592.0001603, (2020).

10.  Hanley, J.P., D.M. Rizzo, J.S. Buzas, and M.J. Eppstein, “A Tandem Evolutionary Algorithm for Identifying Generative Rules from Complex Data” Evolutionary Computation, 28(1) pp. 87-114, doi.org/10.1162/evco_a_00252, (2020).

11.  Kirchner, J.W, W.R. Berghuijs, S.T. Allen, M. Hrachowitz, R. Hut, and D.M. Rizzo, “Streamflow response to forest management”, Nature, preprint - doi:10.1038/s41586-020-1940-6, (2020).

12.  Gourevitch, J.D., N.K. Singh, J. Minot, K.B. Raub, D.M. Rizzo, B.C. Wemple, and T.H. Ricketts, “Spatial targeting of floodplain restoration to equitably mitigate flood risk”, Global Environmental Change, doi.org/10.1016/j.gloenvcha.2020.102050, (2019).

13.  Porterfield, K.K., R. Joblin, D.A. Neher, M. Curtis, S. Dvorak, D.M. Rizzo, J. Faulkner, E.D. Roy, “Upcycling phosphorus recovered from anaerobically digested dairy manure to support production of vegetables and flowers”, Sustainability, 12(20), p.1139, doi.org/10.3390/su122410441, (Erratum Published in Dec. 2020)

14.  Wen, H., J.N. Perdrial, S. Bernal, B.W. Abbott, R. Dupas, S.E. Godsey, A. Harpold, D.M. Rizzo, K.L. Underwood, T. Adler, R. Hale, G. Sterle, and Li Li, “Temperature controls production but hydrology controls export of dissolved organic carbon at the catchment scale”, Hydrology and Earth System Sciences (HESS), doi.org/10.5194/hess-2019-310, (2019).

15.  Ross, L., C.M. Danforth, M.J. Eppstein, L.A. Clarfeld, B. Durieux, C.J. Gramling, L. Hirsch, D.M. Rizzo, and R. Gramling, “Story Arcs in Serious Illness: Natural Language Processing Features of Palliative Care Conversations”, Patient, Education and Counseling, 103(4):826-832, doi.org/10.1016/j.pec.2019.11.021, (2020).

16.  Trueheart, M.E., M.M. Dewoolkar, D.M. Rizzo, D. Huston, and A. Bomblies, “Simulating Hydraulic Interdependence Between Bridges Along a River Corridor Under Transient Flood Conditions”, Science of the Total Environment, doi.org/10.1016/j.scitotenv.2019.134046, (2020).

17.  Cahan S.H., L.C. Orantes, K.F. Wallin, J.P. Hanley, D.M. Rizzo, L. Stevens, P.L. Dorn, A. Rodas, and C. Monroy. “Residual Survival and Local Dispersal Drive Reinfestation by Triatoma Dimidiata Following insecticide Application in Guatemala”, Infection, Genetics and Evolution, doi:10.1016/j.meegid.2019.104000, (2019).

18.  Singh, N.K., J.D. Gourevitch, B.C. Wemple, K.B. Watson, D.M. Rizzo, S. Polasky, and T.H. Ricketts, “Optimizing wetland restoration to improve water quality at a regional scale”, Environmental Research Letters, doi:10.1088/1748-9326/ab1827, (2019).

19.  Hamshaw, S.D., T. Engel, D.M. Rizzo, J. O’Neil Dunne, J. Frolik, and M.M. Dewoolkar, “Application of unmanned aircraft system (UAS) for monitoring bank erosion along a river corridor”, Geomatics, Natural Hazards and Risk, doi:10.1080/19475705.2019.1571533, (2019).

20.  Tsai, M.H., M.W. Breidenstein, T.F. Flanagan, A. Seong, B. Kadry, D.M. Rizzo and R.D. Urman, “Applying Performance Frontiers Operating Room Management: A Tutorial Using Data from an Academic Medical Center”, Anesthesia & Analgesia Practice, 11, pp. 321-327, view in pubmed https://pubmed.ncbi.nlm.nih.gov/30169380-applying-performance-frontiers-in-operating-room-management-a-tutorial-using-data-from-an-academic-medical-center/, (2018).

21.  Orantes L.C., C. Monroy, P.L. Dorn, L. Stevens, D.M. Rizzo, L.A. Morrisey, J.P. Hanley, A. Guadalupe Rodas, B. Richards, K.F. Wallin, and S.H. Cahan, “Uncovering vector, parasite, blood meal and microbiome patterns from mixed-DNA specimens of the Chagas Disease vector Triatoma dimidiata”, PLOS Neglected Tropical Diseases, 12 (10), doi: 10.1371/journal.pntd.0006730, (2018).

22.  Coleman, S., S. Hurley, D.M. Rizzo, C. Koliba, and A. Zia, “From the Household to Watershed: A cross-scale analysis of residential intention to adopt Green Stormwater Infrastructure”, Landscape and Urban Planning, Vol. 180, pp. 195-206,  doi:10.1016/j.landurbplan.2018.09.005, (2018).

23.  Durieux, B.N., C.J. Gramling, V. Manukyan, M.J. Eppstein, D.M. Rizzo, L.M. Ross, A.G. Ryan, M.A. Niland, L.A. Clarfeld, S.C. Alexander, and R. Gramling, “Identifying Connectional Silence in Palliative Care Consultations: Tandem Machine Learning-Human Coding”, Journal of Palliative Medicine, 21(12):1755-1760, doi: 10.1089/jpm.2018.0270, (2018).

24.  Manukyan, V, B.N. Durieux, C.J. Gramling, L.A. Clarfeld, D.M. Rizzo, M.J. Eppstein, and R. Gramling, “Automated Detection of Conversational Pauses from Audio Recordings of Serious Illness Conversations in Natural Hospital Settings”, Journal of Palliative Medicine, doi: 10.1089/jpm.2018.0269,  21(12), pp. 172401728, (2018).

25.  Shakum, J., L. Corbett, P. Bierman, K. Underwood, D.M. Rizzo, S.R. Zimmerman, MW Caffee, T. Naish, NR Golledge, and C.C. Hay.  “Minimal East Antarctic Ice Sheet retreat on land for the past 8 Myr”, Nature, Jun; 558 (7709), pp.284-387, doi.org/10.1038/s41586-018-0155-6, (2018).

26.  Hamshaw, S.D., M.M. Dewoolkar, A.W. Schroth, B.C. Wemple, and D.M. Rizzo, “A new machine-learning approach for classifying hysteresis in suspended-sediment discharge relationships using high-frequency monitoring data”, Water Resources Research, doi:10.1029/2017WR022238, (2018).

27.  Underwood, K.L., D.M. Rizzo, A. Schroth, and M.M Dewoolkar, “Evaluating Spatial Variability in Sediment and Phosphorus Concentration-Discharge Relationships Using Bayesian Inference and Self-Organizing Maps”, Water Resources Research, doi:10.1002/2017WR021353, (2017).

28.  Reusser, L., P.R. Bierman, D.M. Rizzo, and D. H. Rood, “Characterizing landscape-scale erosion using 10Be in detrital fluvial sediment – slope-based sampling strategy detects the effect of widespread dams”, Water Resources Research, doi:10.1002/2016WR019774, (2017).

29.  Isles, P., D.M. Rizzo, Y. Xu and A. Schroth, “Modeling the drivers of interannual variability in cyanobacteria bloom severity using self-organizing maps and high-frequency data”, Inland Waters, d7(3), doi:10.1080/20442041.2017.1318640, (2017).

30.  Hamshaw, S.D., T. Bryce, D.M. Rizzo, J. O’Neil Dunne, J. Frolik, and M.M. Dewoolkar, “Quantifying streambank movement and topography using unmanned aircraft system (UAS) photogrammetry with comparison to terrestrial laser scanning (TLS)”, River Research and Applications, doi:10.1002/rra.3183, (2017).

31.  Brand, M., M.M. Dewoolkar and D.M. Rizzo, “Use of sacrificial embankments to minimize bridge damage from scour during extreme flow events”, Natural Hazards, 87(3), pp. 1469-1487, doi:10.1007/s11069-017-2829-z, (2017).

32.  Wemple, B.C., G.E. Clark, D.S. Ross, and D.M. Rizzo. “Identifying the spatial pattern and importance of hydro-geomorphic drainage impairments on unpaved roads in the northeastern USA”, Earth Surface Processes and Landforms, doi:10.1002/esp.4113, (2017).

33.  Anderson, I., D.M. Rizzo, D.R. Huston and M.M. Dewoolkar, “Stream power application for
bridge damage probability mapping based on empirical evidence from Tropical Storm Irene”, ASCE Journal of Bridge Engineering, doi:10.1061/(ASCE)BE.1943-5592.0001022, (2017).

34.  Anderson, I., D.M. Rizzo, D.R. Huston and M.M. Dewoolkar, “Analysis of bridge and stream conditions of over 300 Vermont bridges damaged in Tropical Storm Irene”, Structure and Infrastructure Engineering, 13:11, pp. 1437-1450, doi:10.1080/15732479.2017.1285329, (2016).

35.  Zia A., A. Bomblies, A. Schroth, C. Koliba, P. Isles, Y. Tsai, I. Mohammed, G. Bucini, P. Clemins, S. Turnbull, M. Rodgers, A. Hamed, B. Beckage, J. Winters, C. Adair, G. Galford, D. Rizzo, and J. Van Houten, “Coupled impacts of climate and land use change across a river-lake continuum: insights from an integrated assessment model of Lake Champlain’s Missisquoi Basin, 2000-2040”, Environmental Research Letters, 11, doi:10.1088/1748-9326/11/11/114026, (2016).

36.  Howard, L.J., I.A. Anderson, K.L. Underwood, M.M. Dewoolkar, L.M. Deschaine, and D.M. Rizzo, “Heuristic assessment of bridge scour sensitivity using differential evolution: Case study for linking floodplain encroachment and bridge scour”, Environmental Systems Research, doi:10.1186/s40068-016-0071-4, 5(20), (2016).

37.  Koliba, C., A. Zia, A. Bomblies, A. Schroth, J. Van Houten and D.M. Rizzo, “The Lake Champlain Basin as a Complex Adaptive System: Insights from the Research on Adaptation to Climate Change (RACC) Project”, Vermont Journal of Environ. Law, 17(4), pp. 533-563, http://vjel.vermontlaw.edu/files/2016/08/VJEL_VOL_17_ISSUE_4_LAKE_CHAMPLAIN_SMALLER.pdf, (2016).

38.  Grover, D., C.R. Savidge, L. Townsend, O. Rosario, L. Hu, and D.M. Rizzo, and M.M. Dewoolkar, “Surface Permeability of Natural and Engineered Porous Building Materials”, Construction and Building Materials, doi: 10.1016/j.conbuildmat.2016.02.193, 112, pp.1088–1100, (2016).

39.  Xu, Y., A.W. Schroth, P. D. Isles, and D.M. Rizzo, “Quantile regression improves model of lake eutrophication with implications for ecosystem-specific management”, Freshwater Biology, doi:10.1111/fwb.12615, (2015).

40.  Hanley, J.P., E. Jackson, L.A. Morrissey, D.M. Rizzo, B.L. Sprague, I.N. Sarkar, and F.E. Carr, “Geospatial and Temporal Analysis of Thyroid Cancer Incidence in a Rural Population”, Thyroid, doi: 10.1089/thy.2015.0039, 25(7), pp. 812-22, (2015).

41.  Eppstein, M.J., D.M. Rizzo, B.Y.H. Lee, J.S. Krupa and N. Manukyan, “Using National Survey Respondents as Consumers in an Agent-Based Model of Plug-In Hybrid Electric Vehicle Adoption”, IEEE Access, doi:10.1109/ACCESS.2015.2427252, 3(1), pp. 458-468, (2015).

42.  Xu, Y., A.W. Schroth and D.M. Rizzo, “Developing a 21st Century framework for lake-specific eutrophication assessment using quantile regression”, Limnology and Oceanography: Methods, doi:10.1002/lom.3.10021, (2015).

43.  Lodh, N., D.M. Rizzo, B.L. Kerans, S. McGinnis, N. Fytilis, and L. Stevens, “If you’ve seen one worm, have you seen them all? Spatial, community and genetic variability of tubificid communities in Montana”, Journal of Freshwater Science, doi: 10.1086/682567, 34 (3), pp. 909-917, (2015).

44.  Guilbert, J. A.K. Betts, D.M. Rizzo, B. Beckage, and A. Bomblies, “Characterization of increased persistence and intensity of precipitation in Northeastern United States”, Geophysical Research Letters, doi: 10.1002/2015GL063124, 42(6), pp.1888-1893, (2015).

45.  Krupa, J.S., D.M. Rizzo, M.J. Eppstein, D.B. Lanute, D.E. Gaalema, K. Lakkaraju, and C.E. Warrender, “Analysis of a Consumer Survey on Plug-In Hybrid Electric Vehicles”, Transportation Research Part A: Policy and Practice, doi:10.1016/j.tra.2014.02.019, 64, pp.14-31, (2014).

46.  Lucero D., W. Ribera, J.C. Pizarro, C. Plaza, R. Pena, L.W. Gordon, L.A. Morrissey, D.M. Rizzo, and L. Stevens, “Sources of Blood Meals of Sylvatic Triatoma guasayana near Zurima, Bolivia Assayed with qPCR and 12S Cloning”, PLOS Neglected Tropical Diseases, doi: 10.1371/journal.pntd.0003365, (2014).

47.  Pechenick, A. D.M. Rizzo, L.A. Morrissey, K. Garvey, K. L. Underwood, and B.C. Wemple, “A multi-scale statistical approach to assess the effects of connectivity of road and stream networks on geomorphic channel condition”, Earth Surface Processes and Landforms, doi: 10.1002/esp.3611, 39, pp.1538-1549, (2014).

48.  de la Rúa, N., D.M. Bustamante, M. Menes, L. Stevens, M.C. Monroy, C.W. Kilpatrick, D.M. Rizzo, S.A. Klotz, J. Schmidt, H.J. Axen, and P.L. Dorn, “Towards a Phylogenetic Approach to the Composition of Species Complexes in the North and Central American Triatoma, Vectors of Chagas Disease”, Infection, Genetics and Evolution, doi:10.1016/j.meegid.2014.03.019, 24, pp.157-166, (2014).

49.  Gaddis, E.J.B., A. Voinov, R. Seppelt and D.M. Rizzo, “Spatial optimization of best management practices to attain water quality targets”, Water Resources Management, doi: 10.1007/s11269-013-0503-0, 28 (6), pp. 1485–1499, (2014).

50.  Fytilis, N., and D.M. Rizzo, “Coupling Self-Organizing Maps with a Naïve Bayesian classifier: Stream classification studies using multiple assessment data”, Water Resources Research, doi: 10.1002/2012WR013422, 49 (11), pp.7747-7762, (2013).

51.  Pearce, A.R., D.M. Rizzo, M.C. Watzin, and G. Druschel, “Unraveling associations between cyanobacteria blooms and in-lake environmental conditions in Missisquoi Bay, Lake Champlain, USA, using a modified Self-Organizing Map”, Environmental Science and Technology, doi.org/10.1021/es403490g, 47 (24), pp.14267-14274, (2013).

52.  Stevens, L., D.M. Rizzo, D.E. Lucero and J.C. Pizarro, “Household model of Chagas disease vectors (Hemiptera: Reduviidae) considering domestic, peridomestic and sylvatic vector populations”, Journal of Medical Entomology, doi:10.1603/ME12096, 50 (4), pp.907-15, (2013).

53.  Manukyan, N., M.J. Eppstein, J.D. Horbar, K.A. Leahy, M.J. Kenny, S. Mukherjee, and D.M. Rizzo "Exploratory Analysis in Time-Varying Data Sets: a Healthcare Network Application" IJACS (International Journal of Advanced Computer Science), 3 (7), pp.322-329, (2013).

54.  Fytilis, N., D.M. Rizzo, R. Lamb, B. L. Kerans, and L. Stevens, “Using real-time PCR and Bayesian analysis to estimate parasite transmission parameters for the invertebrate hosts of whirling disease”, International Journal of Parasitology, doi: 10.1016/j.ijpara.2013.01.006 43 (6), pp.493-501, (2013).

55.  Hu, L.B., C.S. Savidge, D.M. Rizzo, N.J. Hayden, W. Hagadorn and M.M. Dewoolkar, “Commonly used porous building materials: geomorphic pore structure and fluid transport”, Journal of Materials in Civil Engineering, doi: 10.1061/(ASCE) MT.1943-5533.0000706 25 (12) pp.1803-1812, (2013).

56.  Mathon, B.R., D.M. Rizzo, M. Kline, G. Alexander, S. Fiske, R. Langdon, and L. Stevens, “Assessing linkages in stream habitat, geomorphic condition and biological integrity using a generalized regression neural network”, Journal of the American Water Resources Association, doi:10.1111/jawr.12030, 49 (2) pp.415-430, (2013).

57.  Lucero, D., L.A. Morrisey, D.M. Rizzo, A. Rodas, R. Garnica, L. Stevens, D.M. Bustamante, and M.C. Monroy, “Ecohealth interventions limit triatomine reinfestation following insecticide spraying in La Brea, Guatemala”, American Journal of Tropical Medicine and Hygeine, doi: 10.4269/ajtmh.12-0448, 88 (4), pp.630–637, (2013).

58.  Portenga, E., P.R. Bierman, D.M. Rizzo, and D.H. Rood, “Low rates of bedrock outcrop erosion in the central Appalachian Mountains inferred from in situ 10Be”, The Geological Society of America Bulletin, doi:10.1130/ B30559, 125 (1-2) pp.201-215, (2013).

59.  Butryn, R.S., D.L. Parrish, and D.M. Rizzo, “Summer stream temperature metrics for predicting brook trout (Salvelinus fontinalis) distribution in streams”, Hydrobiologia, doi: 10.1007/s10750-012-1336-1, 703 (1) pp.47-57, (2013).

60.  Manukyan, N., M.J. Eppstein and D.M. Rizzo, “Data-driven cluster reinforcement and visualization in sparsely-matched Self-Organizing Maps”, IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/2010TNNLS.2012.2190768, 23 (5), pp.846-852, (2012).

61.  Eppstein. M.J., D.K. Grover, J.S. Marshall and D.M. Rizzo, “An agent-based model to study market penetration of plug-in hybrid electric vehicles”, Energy Policy, doi:10.1016/j.enpol.2011.04.007, 39, (6) pp. 3789-3802, (2011).

62.  Pearce, A.R., D.M. Rizzo and P.J. Mouser, “Subsurface characterization of groundwater contaminated by landfill leachate using microbial community profile data and a non-parametric decision-making process”, Water Resources Research, doi: 10.1029/2010WR009992, 47 (6), (2011).

63.  Hayden, N.J., D.M. Rizzo, M.M. Dewoolkar, M.D. Neumann, S.A. Lathen and A. Sadek, “Incorporating a systems approach into civil and environmental engineering curricula: The effect on student work, student and faculty attitudes”, Advances in Engineering Education, 2 (4), (AEE-07-120), Summer Issue, available at: http://advances.asee.org/vol02/issue04/04.cfm, (2011).

64.  Mouser, P.J., D.M. Rizzo, G. Druschel, S.E. Morales, P. O’Grady, N.J. Hayden and L. Stevens, “Enhanced detection of groundwater contamination from a leaking waste disposal site by microbial community profiles”, Water Resources Research, 46, W12506, doi: 10.1029/2010WR009459, (2010).

65.  Lee, M., A. Drizo, D.M. Rizzo, G.K. Druschel, N.J. Hayden and E. Twohig. “Evaluating the efficiency and temporal variation of pilot-scale constructed wetlands and steel slag phosphorus removing filters for treating dairy wastewater”, Water Research, 44(14), pp. 4077-4086, doi: 10.1016/j.watres.2010.05.020, (2010).

66.  Besaw, L.E., D.M. Rizzo, P.R. Bierman, and W. Hackett, “Advances in ungauged streamflow prediction using neural networks”, Journal of Hydrology, 386(1-4), p. 27-37, doi: 10.1016/j.jhydrol.2010.02.037, (2010).

67.  Pearce, A.R., P.R. Bierman, G.K. Druschel, C. Massey, D.M. Rizzo, M.C. Watzin, B.C. Wemple, “Pitfalls and successes of developing an interdisciplinary watershed field camp”, Journal of Geoscience Education, 58(3), p. 213-220, (2010).

68.  McBride, M., C.W. Hession and D.M. Rizzo, “Riparian reforestation and channel change: How long does it take?”, Geomorphology, 116(3-4): 330-340; doi:10.1016/j.geomorph.2009.11.014, (2009).

69.  Dewoolkar, M.M., L. George, N.J. Hayden, and D.M. Rizzo, “Vertical integration of service learning into civil and environmental engineering curricula”, International Journal of Engineering Education, 25(6), 1257-1269, (2009.)

70.  Besaw, L.E., D.M. Rizzo, M. Kline, K.L. Underwood, J.J. Doris, L.A. Morrissey and K. Pelletier, “Stream classification using hierarchical artificial neural networks: A fluvial hazard management tool”, Journal of Hydrology, doi:10.1016/j.jhydrol.2009.04.007, 373(1-2), 34-43, (2009).

71.  Kollat, J.B., P.M. Reed, and D.M. Rizzo, “Addressing model bias and uncertainty in three-dimensional groundwater transport forecasts for a physical aquifer experiment”, Geophysical Research Letters, 35(17), L17402, doi:10.1029/2008GL035021, (2008).

72.  McBride, M., W.C. Hession and D.M. Rizzo, “Riparian reforestation and channel change: A case study of two small tributaries to Sleepers River, Northeastern Vermont, USA”, Geomorphology, 102 (3-4) 445-459, doi:10.1016/j.geomorph.2008.05.008, (2008).

73.  Stevens, L. and D.M. Rizzo, “Local adaptation to biocontrol agents: A multi-objective data-driven optimization model for the evolution of resistance", Ecological Complexity, doi: 10.1016/j.ecocom.2008.04.002, 5(3): 252-259, (2008).

74.  Clark, J.S., D.M. Rizzo, M.C. Watzin, W.C. Hession, “Geomorphic condition of fish habitat in streams: An analysis using hydraulic modeling and geostatistics”, River Research and Applications, 24(7), pp.885-899, doi:10.1002/rra.1085, (2008).

75.  Costanza, R., P.B. Fisher, S. Ali, C. Beer, L. Bond, R. Boumans, N.L. Danigelis, J. Dickinson, C. Elliott, J. Farley, D.E. Gayer, L. MacDonald Glenn, T. Hudspeth, D. Mahoney, L. McCahill, B. McIntosh, B. Reed, S.A.T. Rizvi, D.M. Rizzo, T. Simpatico, and R. Snapp. 2008. “An integrative approach to quality of life measurement, research and policy”, Surveys and Perspectives Integrating Environment and Society. 1:1-5. Available online at: www.surv-perspect-integr-environ-soc.net/1/11/2008, (2008).

76.  Doris, J.J., D. M. Rizzo and M.M. Dewoolkar, “Forecasting vertical ground surface movement from shrinking/swelling soils with artificial neural networks”, International Journal for Numerical and Analytical Methods in Geomechanics, 32 (10), 1229-1245, (2007).

77.  Besaw, L.E. and D.M. Rizzo, “Spatial prediction and stochastic conditional simulation using artificial neural networks”, Water Resources Research, 43(11), W11409, doi: 10.1029/2006WR005509, (2007).

78.  McBride, M., C.W. Hession, D.M. Rizzo and D.M. Thompson, “The influence of riparian vegetation on near-bank turbulence: A flume experiment”, Earth Surface Processes and Landforms, 32(13), 2019-2037, doi: 10.1002/esp. 1513, (2007).

79.  Langevin, H.M., D.M. Rizzo, J.R. Fox, G.J. Badger, J. Wu, E.E. Konofagou, D. Stevens-Tuttle, N.A. Bouffard and M.H. Krag, “Dynamic morphometric characterization of local connective tissue network structure in humans using ultrasound”, BMC Systems Biology, 1 (25), (2007).

80.  Costanza, R., P. B.Fisher, S. Ali, C. Beer, L. Bond, R. Boumans1, N. L. Danigelis, J. Dickinson, C. Elliott, J. Farley, D. E. Gayer, L. MacDonald Glenn, T. Hudspeth, D. Mahoney, L. McCahil, B. McIntosh, B. Reed, S. A. Turab Rizvi, D.M. Rizzo, T. Simpatico and R. Snapp, “Quality of life: An approach integrating opportunities, human needs, and subjective well-being”, Ecological Economics, 61(2-3), 267-276, (2007).

81.  Cianfrani, C., W.C. Hession and D.M. Rizzo, “Watershed imperviousness impacts on stream channel condition in southeastern Pennsylvania”, Journal of the American Water Resources Association, 42 (4), 941-956, (2006).

82.  Rossman, A.J., N.J. Hayden and D.M. Rizzo, “Low temperature soil heating using renewable energy”, Journal of Environmental Engineering, 132 (5), 537-544, (2006).

83.  Rizzo, D.M., P.Mouser, D.Whitney, C. Mark, R. Magarey and A. Voinov, “The comparison of four dynamic systems-based software packages: Translation and sensitivity analysis”, Environmental Modelling and Software, 21(10), 1491-1502, (2006).

84.  Mouser, P.J., D.M. Rizzo, W.F.M. Röling and B.M. van Breukelen, “A multivariate geostatistical approach to spatial representation of groundwater contamination using hydrochemistry and microbial community profiles”, Environmental Science & Technology, 39 (19), 7551-7559, (2005).

85.  Mouser, P.J., W.C. Hession, D.M. Rizzo and N.J. Gotelli, “Hydrology and geoststatistics in Vermont, U.S.A. kettlehole peatland”, Journal of Hydrology, 301(1-4), 250-266, (2005).

86.  Mitchell, S. Gran, A. Matmon, P.R. Bierman, Y. Enzel, M. Caffee and D.M. Rizzo, “Displacement history of the Nahef East Fault, Northern Israel, using cosmogenic 36Cl”, Journal of Geophysical Research, 106 (3), 4247-4264, (2001).

87.  Rizzo, D.M. and D.E. Dougherty, “Design optimization for multiple management period groundwater remediation”, Water Resources Research, 32 (8), 2549-2561, (1996).

88.  Rizzo, D.M. and D.E. Dougherty, “Characterization of aquifer properties using artificial neural networks: Neural Kriging”, Water Resources Research, 30 (2), 483-497, (1994).

Book Chapters

89.  Rizzo, D.M., M.M. Dewoolkar and N.J. Hayden, “Transferable skills development in engineering students: analysis of service-learning impact”, Chapter 7 in Philosophy and Engineering: Reflections on Practice, Principles and Process, P. Vermaas and D. Michelfelder (eds.), Springer Press, Netherlands, (2013).

90.  Rizzo, D.M., “Long-term ground water modeling”, Section of Book Chapter in Environmental Modeling and Management: Theory, Practice and Future Directions, C.C. Chien, et al. (eds.), Today Media Inc., 2002. (Now republished as Contaminated Ground Water and Sediment: Modeling for Management and Remediation, by Lewis Publishers, 2003.)

91.  Rizzo, D.M. “Field studies of long-term monitoring design”, Book Chapter in Long-Term Groundwater Monitoring: The State of the Art.  Prepared by The Task Committee on the State of the Art in Long-Term Groundwater Monitoring Design, ASCE, (2003).

92.  Rizzo, D.M. and D.E. Dougherty, “Artificial neural networks in subsurface characterization”, Book Chapter in Artificial Neural Networks in Hydrology, R.S. Govindaraju and A.R. Rao (eds.), 111-133, (2000).

Courses Taught
  1. CE 11 – Computer-based Tools for Civil Engineers
  2. CE 125 – Engineering Economic Analysis
  3. CE 132 – Environmental/Transportation Systems
  4. CE 133 – Decision Analysis in Environmental & Transportation Systems
  5. CE 134 – Sustainable Engineering Economics
  6. CE 160 – Hydraulics
  7. HCOL 185 – Conversation Epidemiology
  8. BIOL 196 – Math-Biology Program Activities
  9. CE 295 – Special Topics – Applied Computational Biomechanics
  10. CE 295C – Water Resources Engineering II
  11. CE 284 – Subsurface Site Characterization
  12. CE 295 / GEOL 295 / GEOL 297 / NR285 – Watershed Field Camp
  13. CE 395 (now 369) – Applied Geostatistics
  14. CE 359 – Applied Artificial Neural Networks
  15. CE 395 – Advanced Computational Methods
  16. CE 395 – Engineering & Science Ethics
  17. GEOL 371 – Communicating What We Know About Science
  18. GEOL 371 – Data Science: Environmental Site Characterization

Copyright © 2021 Donna Rizzo