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PUBLICATIONS & CREATIVE WORKS


Publications and creative works from our research group are listed below.


Book Chapters

  • Section on ‘Cyberinfrastructure Systems for Flood Preparedness and Response’, for “Oxford Research Encyclopedia of Natural Hazard Science”, Oxford University Press. Edited by Susan L. Cutter et al., 2018 [in preparation]
  • Chapter on ‘Hydroinformatics for River Processes’, Book: “Experimental Hydraulics: Flows, Methods, Instrumentation, Data Analysis & Management”, CRC Press, Taylor & Francis Group. Edited by M. Muste et al., 2017

Journal Articles

  1. Sit, M. A., Sermet, Y., Demir, I., ‘Optimized Watershed Delineation Library for Server-side and Client-side Web Applications’, Open Geospatial Data, Software and Standards, 2018. (in review)
  2. Sit, M. A., Sermet, Y., Demir, I., ‘Alternative Approaches for Crowdsourced Stage Measurements at Ungauged Locations using Smartphones’, Hydrological Sciences Journal, 2018. (in review)
  3. Xu, H., Demir, I., Koylu, C., Muste, M., ‘A Web-Based Visual Analytics Framework for Identifying Potential Contributors to Culvert Sedimentation’, Environmental Modelling & Software, 2018. (in review)
  4. Sermet, Y., Demir, I., ‘Towards an Information Centric Flood Ontology for Information Management and Communication’, Earth Science Informatics, 2018. (in review)
  5. Xu, H., Muste, M., Demir, I., ‘Web-based Geospatial Platform for Analysis and Forecasting of Sedimentation at Culverts’, Journal of Soils and Sediments, 2018. (in review)
  6. Xu, H., Hameed, H., Windsor, M., Muste, M., Demir, I., ‘A Web-Based Decision Support System for Collaborative Multi-Hazard Mitigation using Serious Gaming’, Environmental Modeling and Software, 2018. (in review)
  7. Agliamzanov, R., Sit, M., Demir, I., ‘Hydrology@Home – A Distributed Volunteer Computing Framework for Hydrological Research and Applications’, Journal of Hydroinformatics, 2018. (in review)
  8. Yildirim, E., Demir, I., ‘An Integrated Web Framework for HAZUS-MH Flood Loss Estimation Analysis’, Natural Hazards, 2018. (in review)
  9. Seo, B.C, Keem, M., Hammond, R., Demir, I., Krajewski, W.F., ‘A Pilot Infrastructure for Searching Rainfall Metadata and Generating Rainfall Product Using the Big Data of NEXRAD’, Environmental Modelling & Software, 2018. (in review)
  10. Sit, M.A., Koylu, C., Demir, I., ‘A Deep Learning and Natural Language Processing Framework for Classifying Disaster Related Tweets: A Case Study of Hurricane Irma’, International Journal of Digital Earth, 2018. (in press)
  11. Sermet, Y., Demir, I., ‘An Intelligent System on Knowledge Generation and Communication for Flooding’, Environmental Modeling and Software, 108, 51-60, 2018.
  12. Carson, A., Windsor, M., Hill, H., Haigh, T., Wall, N., Smith, J., Olsen, R., Bathke, D., Demir, I., Muste, M., ‘Serious Gaming Based Participatory Planning for Mitigation of Flood, Drought, and Water Quality’, International Journal of River Basin Management, 16:3, 379-391, 2018.
  13. Demir, I., Yildirim, E., Sermet, Y., Sit, M., ‘FLOODSS: Iowa Flood Information System as a Generalized Flood Cyberinfrastructure’, International Journal of River Basin Management, 16:3, 393-400, 2018.
  14. Weber, L., Muste, M., Bradley, A., Amado, A., Demir, I., Drake, C., Krajewski, W., Loeser, T., Politano, M., Shea, B., Thomas, N., ‘The Iowa Watersheds Project: Iowa’s prototype for engaging communities and professionals in watershed hazard mitigation’, International Journal of River Basin Management, 16:3, 315-328, 2018.
  15. Jones, C.S., Davis, C.A., Drake, C.W., Schilling, K.E., Debionne, S.H.P., Gilles, D.W., Demir, I., and Weber, L.J., ‘Network of Continuous, In-Situ Stream Nitrate Sensors for the Iowa Nutrient Reduction Strategy’, Journal of the American Water Resources Association, 54, 2, 471-486, 2018.
  16. Demir, I., Szczepanek, R., ‘Optimization of River Network Representation Data Models for Web-based Systems’, Earth and Space Science, Volume 4, Issue 6, 2017.
  17. Krajewski, W.F., Ceynar, D., Demir, I., Goska, R., Kruger, A., Langel, C., Mantilla, R., Niemeier, F., Quintero, F., Seo, B.C., Small, S., Weber, L., Young, N., ‘Real-Time Flood Forecasting and Information System for the State of Iowa’, Bulletin of the American Meteorological Society, 98, 539–554, 2017. [article chosen as journal cover image]
  18. Gil, Y., David, C., Demir, I., Essawy, B., Fulweiler, R., Goodall, J., Karlstrom, L., Lee. H., Mills, H., Oh, J., Pierce, S., Pope, A., Tzeng, M., Villamizar, S., Yu, X., ‘Towards the Geoscience Paper of the Future: Best Practices for Documenting and Sharing Research from Data to Software to Provenance’, Earth and Space Science, 3, 2016.
  19. Demir, I., Conover, H., Krajewski, W., Seo, B., Goska, R., He, Y., McEniry, M.F., Graves, S.J., Peterson, W., ‘Data Enabled Field Experiment Planning, Management, and Research using Cyberinfrastructure’, Journal of Hydrometeorology, 3, 1155-1170, 2015.
  20. Demir, I., Krajewski, W., ‘Towards an integrated Flood Information System: Centralized data access, analysis, and visualization’, Environmental Modeling and Software, 50, 77-84, 2013.
  21. Duffy, C., Gil Y., Deelman E., Marru S., Pierce M., Demir, I., Wiener G., ‘Designing A Roadmap for Geoscience Workflows’, EOS Transactions American Geophysical Union, Brief Report, Vol. 93, No. 24, p225-226, 2012.
  22. Beck, M. B., Jiang, F., Feng, S., Walker, R.V., Osidele, O. O., Lin, Z., Demir, I., and Hall, J., ‘Re-Engineering Cities as Forces for Good in the Environment’, Engineering Sustainability - ICE, 163, 1, 31-46, 2010.
  23. Aydiner, C., Demir, I., Keskinler, B., and Ince, O., ‘Joint Analysis of Transient Flux Behaviors via Membrane Fouling in Hybrid PAC/MF Processes using Neural Network’, Desalination, 250, 1, 188-196, 2010.
  24. Sunlu, F.S., Demir, I., Onkal-Engin, G., Büyükışık, B., Sunlu, U., Koray, T., and Kükrer, S., ‘Nanoplankton Population Dynamics and Dissolved Oxygen Change across The Bay of Izmir by Neural Networks’, Journal of Environmental Monitoring, 11, 6, 1165-1168, 2009.
  25. Bayar S., Demir, I., and Onkal-Engin, G., ‘Modeling Leaching Behavior of Solidified Wastes Using Back-Propagation Neural Networks’, Ecotoxicology and Environmental Safety, 72, 3, 843–850, 2009.
  26. Onkal-Engin, G., and Demir, I., ‘Cost Analysis of Alternative Methods for Wastewater Handling in Small Communities’, Journal of Environmental Management, 79, 4, 357-363, 2006.
  27. Onkal-Engin, G., Demir, I., and Engin, S. N., ‘e-NOSE Response Classification of Sewage Odors by Neural Networks and Fuzzy Clustering’, Advances in Natural Computation, Pt 2, Proceedings Lecture Notes In Computer Science, 3611, 648-651, 2005.
  28. Onkal-Engin, G., Demir, I., and Engin, S. N., 'Determination of the Relationship between Sewage Odor and BOD by Neural Networks’, Environmental Modeling & Software, 20, 7, 843-850, 2005.
  29. Aydıner, C., Demir, I., and Yıldız, E., ‘Modeling of Flux Decline in Crossflow Microfiltration Using Neural Networks: The Case of Phosphate Removal’, Journal of Membrane Science, 248, 1-2, 53-62, 2005.
  30. Onkal-Engin, G., Demir, I. and Hız, H., ‘Assessment of Urban Air Quality in Istanbul using Fuzzy Synthetic Evaluation’, Atmospheric Environment, 38, 23, 3809-3815, 2004.

Conference Papers (Peer Reviewed)

  1. Sermet, Y., Demir, I., Kucuksari, S., ‘Overhead Power Line Sag Monitoring through Augmented Reality’, IEEE 2018 North American Power Symposium, September 9-11, 2018, Fargo, ND.
  2. Sermet, Y., Demir, I., ‘Flood Action VR: A Virtual Reality Framework for Disaster Awareness and Emergency Response Training’, 15th International Conference on Modeling, Simulation and Visualization Methods (MSV'18), July 30-August 2, 2018, Las Vegas, NV.
  3. Ebert-Uphoff, I., Thompson, D.R., Demir, I., Gel, Y.R., Hill, M., Karpatne, A., Guereque, M., Kumar, V., Cabral-Cano, E., Smyth., P., ‘A Vision for the Development of Benchmarks to Bridge Geoscience and Data Science’, 7th International Workshop on Climate Informatics, September 20-22, 2017, Boulder, CO.
  4. Xu, H. Hameed, H., Windsor, M., Muste, M., Demir, I., Smith, J., Hunemuller, T., Stevenson, M. B., ‘Decision-Support System for Collaborative Planning on Multi-Hazard Mitigation’, 37th IAHR World Congress, August 13-18, 2017, Kuala Lumpur, Malaysia.
  5. Demir, I., ‘Interactive Web-based Hydrological Simulation System as an Education Platform using Augmented and Immersive Reality’, ASEE North Midwest Section Meeting, October 16-18, 2014, Iowa City, IA, USA.
  6. Haltas, I., Demir, I., ‘Toward a Flood Information System (TABİS) for Turkey’, HIC 2014 – 11th International Conference on Hydroinformatics, August 17-21, 2014, New York, NY, USA.
  7. Demir, I., Small, S., Goska, R., Keahey, K., Armstrong, P., Riteau, P., Seo, B., Mantilla, R., Krajewski, W., ‘Data Integration, Modeling and Information Communication for Flood Risk Mitigation using Cloud Computing’, 8th International Congress on Environmental Modelling and Software (iEMSs), June 15-19, 2014, San Diego, CA, USA.
  8. Beck, M. B., Walker, R. V., Jiang, F., Demir, I., and Hall, J. W., ‘Re-Engineering Cities as Forces for Good in the Environment: Paths of Transition to Distant Future Alternatives’, Paper # 3078, in Proceedings of World Water Congress and Exhibition, September 19–24, 2010, Montréal, Canada.
  9. Demir, I., Jiang, F., Walker, R. V., Parker, A. K., and Beck, M. B., ‘Information Systems and Social Legitimacy: Scientific Visualization of Water Quality’, in Proceedings of IEEE Int. Conference on Systems, Man, and Cybernetics, p1093-1098, October 11-14, 2009, San Antonio, TX, USA.
  10. Demir, I., and Beck, M. B., ‘GWIS: A Prototype Information System for Georgia Watersheds’, Paper 6.6.4, in Proceedings of Georgia Water Resources Conference: Regional Water Management Opportunities, April 27-29, 2009, UGA, Athens, GA, USA.
  11. Sunlu, F., Demir, I., Onkal-Engin, G., Sunlu, U., Buyukisik, B., Koray, T., Sever, T., Kukrer, S., and Aydin, A., ‘Prediction of Nano-plankton Change in Izmir Bay (Aegean Sea - TURKEY) with Time by Neural Networks’, Rapp. Comm. Int. Mer. Médit., 38, 38th CIESM Congress, 9-13 April 2007, Istanbul, TURKEY.
  12. Onkal-Engin, G., Demir, I., and Engin, S. N., ‘e-Nose Response Classification of Sewage Odours by Neural Networks and Fuzzy Clustering’, First International Conference on Natural Computation (ICNC'05), 27 - 29 August 2005, Changsha, China.
  13. Engin, S. N., Onkal-Engin, G., and Demir, I., ‘Sewage Odor Classification by using Fuzzy Clustering and Neural Networks’, ASYU-INISTA (Innovations at Expert Systems and Applications Symposium), 23-25 June 2004, Vol. I, 206-210, YTU, İstanbul, TURKEY.
  14. Karpuzcu, M., Onkal-Engin, G., and Demir, I., 'Alternative Approaches for Wastewater Treatment and Disposal in Developing Countries', 5th Specialized Conference on Small Water and Wastewater Treatment Systems, 24-26 September 2002, Vol. I, 187-194, Istanbul, TURKEY.

    Additionally, there are 180+ conference abstracts, presentations, and invited talks

Technical Publications and Reports

  1. Workshop Report, National Workshop on Developing a Research Agenda for Connected Rural Communities (CR17), September 7-8, 2017, Charlottesville, VA.
  2. Muste, M., Demir, I., Smith, J.T., Hunemuller, T. and Stevenson, M.B., 2017. ‘Prototype Multi-Jurisdictional Decision-Making Web Platform for Integrated Water Resources Management: From Interagency Collaboration to Implementation in the Iowa-Cedar Watershed’, Report G15AP0041, USGS & Insitute of Water Resources, US Army Corps of Engineers, Baltimore, MD.
  3. Demir, I., Yildirim, E., ‘HAZUS Flood Loss and Damage Estimation on the Web’, HAZUS Hotzone Newsletter, September Issue, 2017.
  4. Muste, M., Demir, I., ‘Serious Gaming for Community Engagement in Multi-Hazard Mitigation’, Hydrolink, IAHR, Issue 1, 2017.
  5. Demir, I., Krajewski, W.F., ‘A Novel Cyberinfrastructure System for Integrated Data Collection, Dissemination and Sharing via Web Technologies’, The NHWC Transmission, The National Hydrologic Warning Council (NHWC), October Issue, 2015.
  6. Demir, I. (as contributor), Submitted by Technology and Architecture Committee, ‘EarthCube Strategic Technology Plan’, NSF EarthCube, August 31, 2015.
  7. Richard, S., Demir, I., Arko, A., Fils, D., ‘Standards and Standards Bodies Working Group Proposal’, NSF EarthCube, March 5, 2015.
  8. Krajewski, W., Demir, I., ‘The Iowa Flood Information System Makes Iowans Safer, Better Informed’, Hydrolink, IAHR, Issue 1, 30-31, 2014.
  9. Gil, Y, Deelman, E., Demir, I., Duffy, C., Marru, S., Altintas, I., E. Pierce, M., et al. ‘A Workflows Roadmap for the Geosciences’, EarthCube Workflows Community Group Report, NSF, June 10, 2012.

Software & Tools

  • Web-based Client-side Watershed Delineation Tool (on IFIS) [link]
  • Level II Radar Data Browser [link]
  • Rainfall Product Data Browser [link]
  • Hydrological Simulation System with Virtual and Augmented Reality [link]

    Additionally, there are 100+ cyber tools and visualization prototypes

Cyber Systems

  • Flood AI Alpha - Knowledge Engine [link]
  • NASA SMAP Information System [link]
  • IFIS - Iowa Flood Information System [link]
  • IWQIS - Iowa Water Quality Information System [link]
  • IWAIS - Iowa Watershed Approach Information System [link]
  • Iowa Draft Flood Hazard Maps [link]
  • Iowa Flood Risk Management Maps [link]
  • NASA IFloodS Planning Platform [link]
  • NASA IFloodS Information System [link]
  • Global Water Platform
  • Georgia Watershed Information System

    Additionally, there are 20+ cyber sub-systems for many agencies and partners