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PUBLICATIONS & CREATIVE WORKS


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


Books and Book Chapters

  1. Demir, I., 'Artificial Intelligence in Hydroinformatics', Volume: 'Advanced Machine Learning'
    2023, Taylor & Francis. Edited by Demir, I., Freni, G. (in preparation)

  2. Demir, I., Encyclopedia Chapter on 'Cyberinfrastructure Systems for Flood Preparedness and Response'
    Book: 'Oxford Research Encyclopedia of Natural Hazard Science'
    2023, Oxford University Press. Edited by Susan L. Cutter et al. (in preparation) ISBN: 9780199389407

  3. Sit, M.A., Koylu, C. & Demir, I., Chapter on 'Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis'
    Book: 'Social Sensing and Big Data Computing for Disaster Management'
    2020, Routledge/Taylor & Francis. Edited by Z. Li et al. ISBN: 9780367617653

  4. Sermet, Y., Demir, I., Chapter on 'Virtual and Augmented Reality Applications for Environmental Science Education and Training'
    Book: 'New Perspectives on Virtual and Augmented Reality: Finding New Ways to Teach in a Transformed Learning Environment'
    2020, Routledge/Taylor & Francis. Edited by L. Daniela ISBN: 9780367432119

  5. Muste, M., Kim, D., Demir, I., Chapter on 'Hydroinformatics Applied to Hydraulic Experiments',
    Book: 'Experimental Hydraulics', Volume II.
    2017, Taylor & Francis. Edited by J. Aberle et al. ISBN: 9780367573263

Patents

  1. Demir, I., & Sermet, M. Y. (2021). Camera-Based Liquid Stage Measurement.U.S. Patent Application No. 17/223,270. https://patents.google.com/patent/US20210310807A1/en

Journal Articles

  1. Zhu, Z., Lin, S., Herr, K., Chi, C., Demir, I., Chi, N., 2022. Using Artificial Intelligence to Improve Pain Assessment and Pain Management: A Scoping Review. Journal of Telemedicine and Telecare. (in review)
  2. Shahid, M., Sermet, M.Y. and Demir, I., 2022. Towards Progressive Geospatial Information Processing on Web Systems: A Case Study for Watershed Analysis in Iowa. EarthArXiv.
    DOI: https://doi.org/10.31223/X5WK8C (in review)
  3. Yeşilköy, Ö.B., Yeşilköy, S., Sermet, M.Y. and Demir, I., 2022. A Comprehensive Review of Ontologies in the Hydrology Towards Guiding Next Generation Artificial Intelligence Applications. EarthArXiv.
    DOI: https://doi.org/10.31223/X5SS74 (in review)
  4. Cikmaz, B.A., Yildirim, E. and Demir, I., 2022. Flood Susceptibility Mapping using Fuzzy Analytical Hierarchy Process for Cedar Rapids, Iowa. EarthArXiv.
    DOI: https://doi.org/10.31223/X57344 (in review)
  5. Sit, M. and Demir, I., 2022. Democratizing Deep Learning Applications in Earth and Climate Sciences on the Web: EarthAIHub. EarthArXiv.
    DOI: https://doi.org/10.31223/X56Q0H (in review)
  6. Ewing, G., Mantilla, R., Krajewski, W. and Demir, I., 2022. Interactive Hydrological Modelling and Simulation on Client-Side Web Systems: An Educational Case Study. EarthArXiv.
    DOI: https://doi.org/10.31223/X5NW6J (pre-print)
  7. Li, Z., Duque, F.Q., Grout, T., Bates, B. and Demir, I., 2022. Comparative Analysis of Performance and Mechanisms of Flood Inundation Map Generation using Height Above Nearest Drainage. EarthArXiv.
    DOI: https://doi.org/10.31223/X59K9G (in review)
  8. Xiang, Z. and Demir, I., 2022. Real-Time Streamflow Forecasting Framework, Implementation and Post-Analysis Using Deep Learning. EarthArXiv.
    DOI: https://doi.org/10.31223/X5BW6R (in review)
  9. Sermet, Y. and Demir, I., 2022. Camera-Based Intelligent Stream Stage Sensing for Decentralized Environmental Monitoring. EarthArXiv.
    DOI: https://doi.org/10.31223/X52K8X (in review)
  10. Xiang, Z. and Demir, I., 2022. Fully distributed rainfall-runoff modeling using spatial-temporal graph neural network. EarthArXiv.
    DOI: https://doi.org/10.31223/X57P74 (in review)
  11. Demir, I., Xiang, Z., Demiray, B.Z. and Sit, M., 2022. WaterBench: A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting. EarthArXiv.
    DOI: https://doi.org/10.31223/X57W6T (in review)
  12. Nourani, V., Baghanam, A.H., Khodkar, K., Shahli, A. and Demir, I., 2022. Uncertainty quantification of GCM based climatic parameter downscaling via deep learning network. Meteorology and Atmospheric Physics. (in review)
  13. Ramirez, C.E., Sermet, Y., Molkenthin, F. and Demir, I., 2022. HydroLang: An Open-Source Web-Based Programming Framework for Hydrological Sciences. Environmental Modelling & Software. EarthArXiv.
    DOI: https://doi.org/10.31223/X5M31D (in review)
  14. Xiang, Z., Demir, I., Mantilla, R., and Krajewski, W. F. , 2022. A Regional Semi-Distributed Streamflow Model Using Deep Learning. Journal of Hydrology. EarthArXiv.
    DOI: https://doi.org/10.31223/X5GW3V (in review)
  15. Yildirim, E., Just, C. and Demir, I., 2022. Flood Risk Assessment and Quantification at the Community and Property Level in the State of Iowa. International Journal of Disaster Risk Reduction.
    DOI: https://doi.org/10.1016/j.ijdrr.2022.103106
  16. Xiang, Z. and Demir, I., 2022. Flood Markup Language–A Standards-based Exchange Language for Flood Risk Communication. Environmental Modelling & Software, p.105397.
    DOI: https://doi.org/10.1016/j.envsoft.2022.105397
  17. Alabbad, Y. and Demir, I., 2022. Comprehensive flood vulnerability analysis in urban communities: Iowa case study. International journal of disaster risk reduction, 74, p.102955.
    DOI: https://doi.org/10.1016/j.ijdrr.2022.102955
  18. Li, Z. and Demir, I., 2022. A comprehensive web-based system for flood inundation map generation and comparative analysis based on height above nearest drainage. Science of The Total Environment, 828, p.154420.
    DOI: https://doi.org/10.1016/j.scitotenv.2022.154420
  19. Yildirim, E. and Demir, I., 2022. Agricultural flood vulnerability assessment and risk quantification in Iowa. Science of The Total Environment, 826, p.154165.
    DOI: https://doi.org/10.1016/j.scitotenv.2022.154165
  20. Gautam, A., Sit, M., Demir, I., 2022. Realistic River Image Synthesis using Deep Generative Adversarial Networks. Frontiers in Water.
    DOI: https://doi.org/10.3389/frwa.2022.784441
  21. Li, Z., Mount, J. and Demir, I., 2022. Accounting for uncertainty in real-time flood inundation mapping using HAND model: Iowa case study. Natural Hazards, 112(1), pp.977-1004.
    DOI: https://doi.org/10.1007/s11069-022-05215-z
  22. Alabbad, Y., Yildirim, E., Demir, I., 2022. Flood Mitigation Data Analytics and Decision Support Framework: Iowa Middle Cedar Watershed Case Study. Science of The Total Environment, p.152768.
    DOI: https://doi.org/10.1016/j.scitotenv.2021.152768
  23. Sermet, Y., Demir, I., 2022. GeospatialVR: A Web-based Virtual Reality Framework for Collaborative Environmental Simulations. Computers & Geosciences, 159, p.105010.
    DOI: https://doi.org/10.1016/j.cageo.2021.105010
  24. Krajewski, W.F., Ghimire, G. R., Demir, I., Mantilla, R., 2021. Real-Time Streamflow Forecasting: AI vs. Hydrologic Insights. Journal of Hydrology X, 13, p.100110.
    DOI: https://doi.org/10.1016/j.hydroa.2021.100110
  25. Sermet, Y. and Demir, I., 2021. A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health. Big Data and Cognitive Computing, 5(4), p.57.
    DOI: https://doi.org/10.3390/bdcc5040057
  26. Alabbad, Y., Mount, J, Campbell, A. M. and Demir, I., 2021. Assessment of transportation system disruption and accessibility to critical amenities during flooding: Iowa case study. Science of The Total Environment, p.148476.
    DOI: https://doi.org/10.1016/j.scitotenv.2021.148476
  27. Ewing, G., and Demir, I. 2021. An Ethical Decision-Making Framework with Serious Gaming: Smart Water Case Study on Flooding. Journal of Hydroinformatics, 23(3), 466–482.
    DOI: https://doi.org/10.2166/hydro.2021.097
  28. Hu, A. and Demir, I., 2021. Real-Time Flood Mapping on Client-Side Web Systems Using HAND Model. Hydrology, 8(2), p.65.
    DOI: https://doi.org/10.3390/hydrology8020065
  29. Yildirim, E. and Demir, I., 2021. An Integrated Flood Risk Assessment and Mitigation Framework: Middle Cedar River Basin Case Study, International Journal of Disaster Risk Reduction, 56, p.102113.
    DOI: https://doi.org/10.1016/j.ijdrr.2021.102113
  30. Haltas, I., Yildirim, E., Oztas, F. and Demir, I., 2021. A Comprehensive Flood Event Specification and Inventory: 1930-2020 Turkey Case Study, International Journal of Disaster Risk Reduction, 56, p.102086.
    DOI: https://doi.org/10.1016/j.ijdrr.2021.102086
  31. Demiray, B.Z., Sit, M. and Demir, I., 2021. D-SRGAN: DEM super-resolution with generative adversarial networks. SN Computer Science, 2(1), pp.1-11.
    DOI: https://doi.org/10.1007/s42979-020-00442-2
  32. Sit, M., Langel, R.J., Thompson, D., Cwiertny, D.M. and Demir, I., 2021. Web-based Data Analytics Framework for Well Forecasting and Groundwater Quality. Science of The Total Environment, 761, p.144121.
    DOI: https://doi.org/10.1016/j.scitotenv.2020.144121
  33. Teague, A., Sermet, Y., Demir, I. and Muste, M., 2021. A Collaborative Serious Game for Water Resources Planning and Hazard Mitigation. International Journal of Disaster Risk Reduction, 53, p.101977.
    DOI: https://doi.org/10.1016/j.ijdrr.2020.101977
  34. Sit, M., Demiray, B.Z., Xiang, Z., Ewing, G.J., Sermet, Y. and Demir, I., 2020. A comprehensive review of deep learning applications in hydrology and water resources. Water Science and Technology, 82(12), pp.2635-2670.
    DOI: https://doi.org/10.2166/wst.2020.369
  35. Xiang, Z. and Demir, I., 2020. Distributed long-term hourly streamflow predictions using deep learning–A case study for State of Iowa. Environmental Modelling & Software, p.104761.
    DOI: https://doi.org/10.1016/j.envsoft.2020.104761
  36. Sermet, Y., Demir, I. and Muste, M., 2020. A serious gaming framework for decision support on hydrological hazards. Science of The Total Environment, p.138895.
    DOI: https://doi.org/10.1016/j.scitotenv.2020.138895
  37. Agliamzanov, R., Sit, M. and Demir, I., 2020. Hydrology@ Home: a distributed volunteer computing framework for hydrological research and applications. Journal of Hydroinformatics, 22(2), pp.235-248.
    DOI: https://doi.org/10.2166/hydro.2019.170
  38. Xiang, Z., Yan, J. and Demir, I., 2020. A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence Learning. Water resources research, 56(1).
    DOI: https://doi.org/10.1029/2019WR025326
  39. Sermet, Y., Villanueva, P., Sit, M.A. and Demir, I., 2020. Crowdsourced approaches for stage measurements at ungauged locations using smartphones. Hydrological Sciences Journal, 65(5), pp.813-822.
    DOI: https://doi.org/10.1080/02626667.2019.1659508
  40. Xu, H., Windsor, M., Muste, M. and Demir, I., 2020. A web-based decision support system for collaborative mitigation of multiple water-related hazards using serious gaming. Journal of Environmental Management, 255, p.109887.
    DOI: https://doi.org/10.1016/j.jenvman.2019.109887
  41. Xu, H., Muste, M. and Demir, I., 2019. Web-based geospatial platform for the analysis and forecasting of sedimentation at culverts. Journal of Hydroinformatics, 21(6), pp.1064-1081.
    DOI: http://doi.org/10.2166/hydro.2019.068
  42. Sit, M., Sermet, Y. and Demir, I., 2019. Optimized watershed delineation library for server-side and client-side web applications. Open Geospatial Data, Software and Standards, 4(1), p.8.
    DOI: https://doi.org/10.1186/s40965-019-0068-9
  43. Sermet, Y. and Demir, I., 2019. Towards an information centric flood ontology for information management and communication. Earth Science Informatics, 12(4), pp.541-551.
    DOI: https://doi.org/10.1007/s12145-019-00398-9
  44. Yildirim, E. & Demir, I., 2019. An integrated web framework for HAZUS-MH flood loss estimation analysis. Natural Hazards, 99(1), pp.275–286.
    DOI: https://doi.org/10.1007/s11069-019-03738-6
  45. Xu, H., Demir, I., Koylu, C. and Muste, M., 2019. A web-based geovisual analytics platform for identifying potential contributors to culvert sedimentation. Science of The Total Environment, 692, pp.806-817.
    DOI: https://doi.org/10.1016/j.scitotenv.2019.07.157
  46. Sit, M.A., Koylu, C. & Demir, I., 2019. Identifying disaster-related tweets and their semantic, spatial and temporal context using deep learning, natural language processing and spatial analysis: a case study of Hurricane Irma. International Journal of Digital Earth, 12(11), pp.1205–1229.
    DOI: https://doi.org/10.1080/17538947.2018.1563219
  47. Seo, B.C., Keem, M., Hammond, R., Demir, I. and Krajewski, W.F., 2019. A pilot infrastructure for searching rainfall metadata and generating rainfall product using the big data of NEXRAD. Environmental Modelling & Software, 117, pp.69-75.
    DOI: https://doi.org/10.1016/j.envsoft.2019.03.008
  48. Sermet, Y. and Demir, I., 2018. An intelligent system on knowledge generation and communication about flooding. Environmental modelling & software, 108, pp.51-60.
    DOI: https://doi.org/10.1016/j.envsoft.2018.06.003
  49. Demir, I., Yildirim, E., Sermet, Y. and Sit, M.A., 2018. FLOODSS: Iowa flood information system as a generalized flood cyberinfrastructure. International journal of river basin management, 16(3), pp.393-400.
    DOI: https://doi.org/10.1080/15715124.2017.1411927
  50. Jones, C.S., Davis, C.A., Drake, C.W., Schilling, K.E., Debionne, S.H., Gilles, D.W., Demir, I. and Weber, L.J., 2018. Iowa statewide stream nitrate load calculated using in situ sensor network. JAWRA Journal of the American Water Resources Association, 54(2), pp.471-486.
    DOI: https://doi.org/10.1111/1752-1688.12618
  51. Carson, A., Windsor, M., Hill, H., Haigh, T., Wall, N., Smith, J., Olsen, R., Bathke, D., Demir, I. and Muste, M., 2018. Serious gaming for participatory planning of multi-hazard mitigation. International journal of river basin management, 16(3), pp.379-391.
    DOI: https://doi.org/10.1080/15715124.2018.1481079
  52. Weber, L.J., Muste, M., Bradley, A.A., Amado, A.A., Demir, I., Drake, C.W., Krajewski, W.F., Loeser, T.J., Politano, M.S., Shea, B.R. and Thomas, N.W., 2018. The Iowa Watersheds Project: Iowa's prototype for engaging communities and professionals in watershed hazard mitigation. International journal of river basin management, 16(3), pp.315-328.
    DOI: https://doi.org/10.1080/15715124.2017.1387127
  53. Demir, I. and Szczepanek, R., 2017. Optimization of river network representation data models for web‐based systems. Earth and Space Science, 4(6), pp.336-347.
    DOI: https://doi.org/10.1002/2016ea000224
  54. 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., 2017. Real-time flood forecasting and information system for the state of Iowa. Bulletin of the American Meteorological Society, 98(3), pp.539-554.
    DOI: https://doi.org/10.1175/bams-d-15-00243.1
    [article chosen as journal cover image]
  55. 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., 2016. Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance. Earth and Space Science, 3(10), pp.388-415.
    DOI: https://doi.org/10.1002/2015ea000136
  56. Demir, I., Conover, H., Krajewski, W.F., Seo, B.C., Goska, R., He, Y., McEniry, M.F., Graves, S.J. and Petersen, W., 2015. Data-enabled field experiment planning, management, and research using cyberinfrastructure. Journal of Hydrometeorology, 16(3), pp.1155-1170.
    DOI: https://doi.org/10.1175/jhm-d-14-0163.1
  57. Demir, I. and Krajewski, W.F., 2013. Towards an integrated flood information system: centralized data access, analysis, and visualization. Environmental Modelling & Software, 50, pp.77-84.
    DOI: https://doi.org/10.1016/j.envsoft.2013.08.009
  58. Duffy, C., Gil, Y., Deelman, E., Marru, S., Pierce, M., Demir, I. and Wiener, G., 2012. Designing a road map for geoscience workflows. Eos, Transactions American Geophysical Union, 93(24), pp.225-226.
    DOI: https://doi.org/10.1029/2012eo240002
  59. Aydiner, C., Demir, I., Keskinler, B. and Ince, O., 2010. Joint analysis of transient flux behaviors via membrane fouling in hybrid PAC/MF processes using neural network. Desalination, 250(1), pp.188-196.
    DOI: https://doi.org/10.1016/j.desal.2009.06.025
  60. Beck, M.B., Jiang, F., Shi, F., Walker, R.V., Osidele, O.O., Lin, Z., Demir, I. and Hall, J.W., 2010, March. Re-engineering cities as forces for good in the environment. In Proceedings of the Institution of Civil Engineers-Engineering Sustainability (Vol. 163, No. 1, pp. 31-46). Thomas Telford Ltd.
    DOI: https://doi.org/10.1680/ensu.2010.163.1.31
  61. Bayar, S., Demir, I. and Engin, G.O., 2009. Modeling leaching behavior of solidified wastes using back-propagation neural networks. Ecotoxicology and Environmental Safety, 72(3), pp.843-850.
    DOI: https://doi.org/10.1016/j.ecoenv.2007.10.019
  62. Sunlu, F.S., Demir, I., Engin, G.O., Buyukisik, B., Sunlu, U., Koray, T. and Kukrer, S., 2009. Nanoplankton population dynamics and dissolved oxygen change across the bay of Izmir by neural networks. Journal of Environmental Monitoring, 11(6), pp.1165-1168.
    DOI: https://doi.org/10.1039/b815185g
  63. Engin, G.O. and Demir, I., 2006. Cost analysis of alternative methods for wastewater handling in small communities. Journal of environmental management, 79(4), pp.357-363.
    DOI: https://doi.org/10.1016/j.jenvman.2005.07.011
  64. Onkal-Engin, G., Demir, I. and Engin, S.N., 2005. Determination of the relationship between sewage odour and BOD by neural networks. Environmental Modelling & Software, 20(7), pp.843-850.
    DOI: https://doi.org/10.1016/j.envsoft.2004.04.012
  65. Aydiner, C., Demir, I. and Yildiz, E., 2005. Modeling of flux decline in crossflow microfiltration using neural networks: the case of phosphate removal. Journal of membrane science, 248(1-2), pp.53-62.
    DOI: https://doi.org/10.1016/j.memsci.2004.07.036
  66. Onkal-Engin, G., Demir, I., and Engin, S. N., , 2005. e-NOSE Response Classification of Sewage Odors by Neural Networks and Fuzzy Clustering, Advances in Natural Computation, Pt 2, Lecture Notes in Computer Science, 3611, 648-651.
    DOI: https://doi.org/10.1007/11539117_92
  67. Onkal-Engin, G., Demir, I. and Hiz, H., 2004. Assessment of urban air quality in Istanbul using fuzzy synthetic evaluation. Atmospheric Environment, 38(23), pp.3809-3815.
    DOI: https://doi.org/10.1016/j.atmosenv.2004.03.058

Pre-print Articles

  1. Sit, M., Seo, B.C. and Demir, I., 2021. CNN-based Temporal Super Resolution of Radar Rainfall Products. arXiv:2109.09289 [cs.LG]
    arXiv: https://arxiv.org/abs/2109.09289
  2. Sermet, Y. and Demir, I., 2019. A Generalized Web Component for Domain-Independent Smart Assistants. arXiv preprint arXiv:1909.02507 [cs.HC]
    arXiv: https://arxiv.org/abs/1909.02507
  3. Sit, M.A. and Demir, I., 2019. Decentralized Flood Forecasting Using Deep Neural Networks. EarthArXiv - arXiv:1902.02308 [cs.LG]
    DOI: https://doi.org/10.31223/osf.io/e9xqr

Conference Papers (Peer Reviewed)

  1. Demir, I., Galelli, S., ‘Next Generation Hydroinformatics Applications in Water Resources Research and Education’, ICWRER 2022 9th International Conference on Water Resources and Environment Research, April 25-27, 2022, Virtual
  2. Demiray, B., Sit, M. and Demir, I., 2021, December. DEM Super-Resolution with EfficientNetV2. In Climate Change AI Workshop at NeurIPS '21.
    Link: https://arxiv.org/abs/2109.09661
  3. Sit, M., Seo, B.C. and Demir, I., 2021, July. IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation. In Climate Change AI Workshop at ICML '21.
    Link: https://arxiv.org/abs/2107.03432
  4. Sit, M., Demiray, B. and Demir, I., 2021, July. Short-term hourly streamflow prediction with graph convolutional gru networks. In Climate Change AI Workshop at ICML '21.
    Link: https://arxiv.org/abs/2107.07039
  5. Sermet, Y. and Demir, I., 2020, November. An Immersive Decision Support System for Disaster Response. In 26th ACM Symposium on Virtual Reality Software and Technology (pp. 1-3).
    DOI: https://doi.org/10.1145/3385956.3422087
  6. Mount, J., Alabbad, Y., Demir, I., ‘Towards an Integrated and Realtime Wayfinding Framework for Flood Events’, ARIC'19: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances on Resilient and Intelligent Cities, p33-36, November 5, 2019, Chicago, Illinois, USA.
    DOI: https://doi.org/10.1145/3356395.3365543
  7. 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.
    DOI: https://doi.org/10.1109/naps.2018.8600565
  8. 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.
    DOI: https://doi.org/10.1145/3306214.3338550
  9. 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.
    DOI: http://doi.org/10.5065/D6222SH7
  10. 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.
  11. 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.
    DOI: https://doi.org/10.17077/aseenmw2014.1008
  12. 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.
  13. 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.
  14. 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.
    DOI: https://doi.org/10.1680/ensu.2010.163.1.31
  15. 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.
    DOI: https://doi.org/10.1109/icsmc.2009.5345985
  16. 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.
  17. 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.
    DOI: https://doi.org/10.1007/11539117_92
  18. 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 240+ conference abstracts, presentations, and invited talks presented by our group.

Technical Publications and Reports

  1. IWA Global Trends & Challenges in Water Science, Research and Management, International Water Association, 2023.
  2. NSF Workshop Report, Convergence Accelerator (CA) - Open Knowledge Network (OKN) EarthCube Workshop, ESIP 2020 Winter Meeting, January 6, 2020, North Bethesda, MD.
  3. Workshop Report, National Workshop on Developing a Research Agenda for Connected Rural Communities (CR17), September 7-8, 2017, Charlottesville, VA.
  4. 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.
  5. Demir, I., Yildirim, E., ‘HAZUS Flood Loss and Damage Estimation on the Web’, HAZUS Hotzone Newsletter, September Issue, 2017.
  6. Muste, M., Demir, I., ‘Serious Gaming for Community Engagement in Multi-Hazard Mitigation’, Hydrolink, IAHR, Issue 1, 2017.
  7. 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.
  8. Demir, I. (as contributor), Submitted by Technology and Architecture Committee, ‘EarthCube Strategic Technology Plan’, NSF EarthCube, August 31, 2015.
  9. Richard, S., Demir, I., Arko, A., Fils, D., ‘Standards and Standards Bodies Working Group Proposal’, NSF EarthCube, March 5, 2015.
  10. Haltas, I., Demir, I., ‘Flood Sensor Technologies and Trend Analysis Report’, The Scientific and Technological Research Council of Turkey (TUBITAK), Information Technology Institute, 2014-2015.
  11. Krajewski, W., Demir, I., ‘The Iowa Flood Information System Makes Iowans Safer, Better Informed’, Hydrolink, IAHR, Issue 1, 30-31, 2014.
  12. 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 applications developed by our group

Cyber Systems

  • RIMORPHIS - River Morphology Information System [link]
  • IWFoS - Iowa Well Forecasting System [link]
  • UMIS - Upper Mississippi Information System [link]
  • 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 developed by our group for many agencies and organizations