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PUBLICATIONS & CREATIVE WORKS


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


Books and Book Chapters

  1. Demir21, 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. Sermet, Y. & Demir, I., Chapter on ‘A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health’
    Book: 'Knowledge Modelling and Learning through Cognitive Networks'
    2022, MDPI. Edited by Stella, M., Kenett Y.N.
    ISBN: 9783036537788, DOI: https://doi.org/10.3390/bdcc6020053
  4. Hu, A. & Demir, I., Chapter on ‘Real-time Flood Mapping on Client-side Web Systems using HAND model’
    Book: 'Flood Early Warning and Risk Modelling'
    2022, MDPI. Edited by Iosub, M., & Enea, A.
    ISBN: 9783036537788, DOI: https://doi.org/10.3390/books978-3-0365-3777-1
  5. 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
  6. 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, DOI: https://doi.org/10.4324/9781003001874
  7. 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. Erazo, C., Sermet, Y., Demir, I., 2024, HydroRTC: A Web-Based Data Transfer and Communication Library for Collaborative Data Processing and Sharing in the Hydrological Domain. Environmental Modeling and Software
    DOI: https://doi.org/10.1016/j.envsoft.2024.106068 (in review)
  2. Li, Z., Sermet, Y., Demir, I., 2024, EarthObsNet: A Comprehensive Benchmark Dataset for Data-Driven Earth Observation Image Synthesis. ISPRS Journal of Photogrammetry and Remote Sensing
    DOI: https://doi.org/10.31223/X5GD7J (in review)
  3. House, E., Meselhe, E., Muste, M., Demir, I., 2024, Streamflow Hysteresis Analysis through a Deep Dive Budget of the St Venant Momentum Terms. Water Resources Research
    DOI: Not available (in review)
  4. Sajja, R., Erazo, C., Li, Z., Demiray, B.Z., Sermet, Y., and Demir, I., 2024, Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications. Computer Science Education
    DOI: https://doi.org/10.48550/arXiv.2401.17434 (in review)
  5. Merwade, V., Demir, I., Muste, M., Cox, A.L., Minear, J.T., Sermet, Y., Dey, S., Liang, C., 2024, Towards an Open and Integrated Cyberinfrastructure for River Morphology Research in the Big Data Era. Environmental Modeling and Software
    DOI: https://dx.doi.org/10.2139/ssrn.4733286 (in review)
  6. Baydaroğlu, O., Muste, M., Cikmaz, B., Kim, K., Meselhe, E., Demir, I., 2024, Coping with Information Extraction from In-Situ Data Acquired in Natural Streams. Hydrological Sciences Journal
    DOI: https://doi.org/10.31223/X5S979 (in review)
  7. Islam, S.S.M., Demir, I., 2024, A Novel Methodology for Enhancing Flood Risk Communication: The Nines of Safety. Science of Total Environment
    DOI: https://doi.org/10.31223/X58H5Z (in review)
  8. Herkert, N., Demiray, B.Z., Demir, I., Hornbuckle, K.C., 2024, Web-based Data Analytics Framework for PUF-PAS Effective Sampling Rate and Volume. Environmental Modeling and Software
    DOI: https://doi.org/10.1039/D4EM00311J (in review)
  9. Cikmaz, B., Alabbad, Y., Yildirim, E., Demir, I., 2024, A Comprehensive Flood Risk Assessment for Railroad Network: Case Study for Iowa. Science of Total Environment
    DOI: https://doi.org/10.31223/X5SM3W (in review)
  10. Duran, E., Alabbad, Y., Mount, J., Yildirim, E., Demir, I., 2024, Comprehensive Analysis of Riverine Flood Impact on Bridges: Iowa Case Study. Science of Total Environment
    DOI: https://doi.org/10.31223/X5G97H (in review)
  11. Sajja, R., Sermet, Y., Cwiertny, D. and Demir, I., 2024, Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education. The International Journal of Educational Technology in Higher Education
    DOI: https://doi.org/10.48550/arXiv.2312.09548 (in review)
  12. Sajja, R., Sermet, Y., Cwiertny, D. and Demir, I., 2024, Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. The International Journal of Educational Technology in Higher Education
    DOI: https://doi.org/10.48550/arXiv.2309.10892 (in review)
  13. Demiray, B.Z., Sit, M.A., Mermer, O., Demir, I., 2024, Enhancing Hydrological Modeling with Transformers: A Case Study for 24-Hour Streamflow Prediction. Nature Scientific Reports
    DOI: https://doi.org/10.31223/X5DM4V (in review)
  14. Demiray, B.Z., Sermet, Y., Yildirim, E., Demir, I., 2024, FloodGame: An Interactive 3D Serious Game on Flood Mitigation for Disaster Awareness and Education. Environmental Modeling and Software
    DOI: https://doi.org/10.31223/X5ST0T (in review)
  15. Yeşilköy, S., Baydaroglu, O., Singh, N., Sermet, Y., and Demir, I., 2024, A Contemporary Systematic Review of Cyberinfrastructure Systems and Applications for Flood and Drought Data Analytics and Communication. Earth Science Reviews
    DOI: https://doi.org/10.31223/X5937W (in review)
  16. Cox, A.L., Meyer, D., Botero-Acosta, A., Sagan, V., Demir, I., Muste, M., Paul Boyd, P., Pathak, C., 2024, Estimating Reservoir Sedimentation Using Deep Learning. Journal of Hydrologic Engineering
    DOI: https://doi.org/10.31223/X5PH3X (in review)
  17. Cox, A., Muste, M., Merwade, V., Demir, I., Minear, J.T., Dey, S., Liang, C.Y. and Sermet, Y., 2024, Engaging the Earth Science and Engineering Communities in Developing a River Morphology Information System (RIMORPHIS). Journal of the American Water Resources Association
    DOI: https://doi.org/10.31223/X5P08N (in review)
  18. Botero-Acosta, A., Cox, A.L., Sagan, V., Demir, I., Muste, M., Paul Boyd, P., Pathak, C., 2024, Multivariate Analysis and Anomaly Detection of U.S. Reservoir Sedimentation Dataset. Engineering Applications of Artificial Intelligence
    DOI: https://doi.org/10.31223/X54H3Z (in review)
  19. Yeşilköy, S., Baydaroglu, O., Demir, I., 2024, Is Snow Drought a Messenger for the Upcoming Severe Drought Period? A Case Study in the Upper Mississippi River Basin. Water Resources Research
    DOI: https://doi.org/10.31223/X5S678 (in review)
  20. Sit, M., Demiray, B.Z. and Demir, I., 2024, EfficientRainNet: Smaller Neural Networks Based on EfficientNetV2 for Rainfall Nowcasting. Environmental Modeling and Software
    DOI: https://doi.org/10.31223/X5VQ1S (in review)
  21. Sit, M., Demiray, B.Z. and Demir, I., 2024, Spatial Downscaling of Streamflow Data with Attention Based Spatio-Temporal Graph Convolutional Networks. Nature Scientific Reports
    DOI: https://doi.org/10.31223/X5666M (in review)
  22. Yeşilköy, S., Demir, I., 2024, Crop Yield Prediction based on Reanalysis and Crop Phenology Data in the Agroclimatic Zones. Agricultural and Forest Meteorology
    DOI: https://doi.org/10.31223/X5BW8H (in review)
  23. Alabbad, Y. and Demir, I., 2024, Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study. Science of Total Environment
    DOI: https://doi.org/10.2139/ssrn.4415317 (in review)
  24. Sit, M., Demiray, B.Z. and Demir, I., 2024, A Systematic Review of Deep Learning Applications in Streamflow Data Augmentation and Forecasting. Hydrological Sciences Journal
    DOI: https://doi.org/10.31223/X57H2H (in review)
  25. Sit, M., Demiray, B.Z. and Demir, I., 2024, A Systematic Review of Deep Learning Applications in Interpolation and Extrapolation of Precipitation Data. Water Resources Management
    DOI: https://doi.org/10.31223/X5HM08 (in review)
  26. Akhlaghi, V.E., Campbell, A.M. and Demir, I., 2024, The Flood Mitigation Problem in a Road Network. Production and Operations Management
    DOI: https://doi.org/10.48550/arXiv.2302.07983 (in review)
  27. Xiang, Z., Demir, I., 2024, Real-Time Streamflow Forecasting Framework, Implementation and Post- Analysis Using Deep Learning. Geophysical Research Letters
    DOI: https://doi.org/10.31223/X5BW6R (in review)
  28. Xiang, Z., Demir, I., 2024, Fully distributed rainfall-runoff modeling using spatial-temporal graph neural network. Water Resources Research
    DOI: https://doi.org/10.31223/X57P74 (in review)
  29. Xiang, Z., Demir, I., Mantilla, R., Krajewski, W.F., 2024, A Regional Semi-Distributed Streamflow Model Using Deep Learning. Journal of Hydrology
    DOI: https://doi.org/10.31223/X5GW3V (in review)
  30. Baydaroğlu Yeşilköy, Ö. and Demir, I., 2024, Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting. Journal of Hydroinformatics, p.jh2024235.
    DOI: https://doi.org/10.2166/hydro.2024.235
  31. Tanir, T., Yildirim, E., Ferreira, C.M. and Demir, I., 2024, Social vulnerability and climate risk assessment for agricultural communities in the United States. Science of The Total Environment, 908, p.168346.
    DOI: https://doi.org/10.1016/j.scitotenv.2023.168346
  32. Alabbad, Y., Mount, J., Campbell, A.M. and Demir, I., 2024, A web-based decision support framework for optimizing road network accessibility and emergency facility allocation during flooding. Urban Informatics, 3(1), pp.1-17.
    DOI: https://doi.org/10.1007/s44212-024-00040-0
  33. Erazo, C.V., Sermet, Y., Demir, I., 2024, HydroCompute: An Open-Source Web-Based Computational Library for Hydrology and Environmental Sciences. Environmental Modeling and Software
    DOI: https://doi.org/10.31223/X5FM2D
  34. Islam, S.S., Yeşilköy, S., Baydaroğlu, Ö., Yıldırım, E. and Demir, I., 2024, State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas. International Journal of River Basin Management, pp.1-18.
    DOI: https://doi.org/10.1080/15715124.2024.2304546
  35. Li, Z. and Demir, I., 2024, Flood sequence mapping with multimodal remote sensing under the influence of dense vegetation. International journal of remote sensing, 45(4), pp.1059-1078.
    DOI: https://doi.org/10.1080/01431161.2024.2305629
  36. Chi, N.C., Shanahan, A., Nguyen, K., Demir, I., Fu, Y.K. and Herr, K., 2023, USABILITY TESTING OF THE PACE APP TO SUPPORT FAMILY CAREGIVERS IN MANAGING PAIN FOR PEOPLE WITH DEMENTIA. Innovation in aging, 7(Suppl 1), p.857.
    DOI: https://doi.org/10.1093%2Fgeroni%2Figad104.2763
  37. Li, Z. and Demir, I., 2024, Better localized predictions with Out-of-Scope information and Explainable AI: One-Shot SAR backscatter nowcast framework with data from neighboring region. ISPRS Journal of Photogrammetry and Remote Sensing, 207, pp.92-103.
    DOI: https://doi.org/10.1016/j.isprsjprs.2023.11.021
  38. Pursnani, V., Sermet, Y., Kurt, M. and Demir, I., 2023, Performance of ChatGPT on the US fundamentals of engineering exam: Comprehensive assessment of proficiency and potential implications for professional environmental engineering practice. Computers and Education: Artificial Intelligence, 5, p.100183.
    DOI: https://doi.org/10.1016/j.caeai.2023.100183
  39. Ewing, G., Erazo Ramirez, C., Vaidya, A. and Demir, I., 2024, Client-side web-based model coupling using basic model interface for hydrology and water resources. Journal of hydroinformatics, p.jh2024212.
    DOI: https://doi.org/10.2166/hydro.2024.212
  40. Satilmisoglu, T.K., Kurt, M., Sermet, Y. and Demir, I., 2024, Blockchain Opportunities for Water Resources Management: A Comprehensive Review. Sustainability
    DOI: https://doi.org/10.3390/su16062403
  41. Li, Z., Xiang, Z., Demiray, B.Z., Sit, M. and Demir, I., 2023, MA-SARNet: A one-shot nowcasting framework for SAR image prediction with physical driving forces. ISPRS journal of photogrammetry and remote sensing, 205, pp.176-190.
    DOI: https://doi.org/10.1016/j.isprsjprs.2023.10.002
  42. Yildirim, E., Alabbad, Y. and Demir, I., 2023, Non-structural Flood Mitigation Optimization at Community Scale: Middle Cedar Case Study. Journal of Environmental Management, 346, 119025
    DOI: https://doi.org/10.31223/X5867M
  43. Yeşilköy, O.B., Yeşilköy, S., Sermet, Y., Demir, I., 2023, A Comprehensive Review of Ontologies in the Hydrology Towards Guiding Next Generation Artificial Intelligence Applications. Journal of Environmental Informatics, 42, 2, p90-107
    DOI: https://doi.org/10.31223/X5SS74
  44. Sajja, R., Sermet, Y., Cwiertny, D. and Demir, I., 2023, Platform-Independent and Curriculum-Oriented Intelligent Assistant for Higher Education. International Journal of Educational Technology in Higher Education, 20, 42
    DOI: https://doi.org/10.48550/arXiv.2302.09294
  45. Nourani, V., K. Khodkar, A. H. Baghanam, S. A. Kantoush, and I. Demir, 2023, Uncertainty Quantification of Deep Learning–Based Statistical Downscaling of Climatic Parameters. J. Appl. Meteor. Climatol., 62, 1223–1242
    DOI: https://doi.org/10.1175/JAMC-D-23-0057.1
  46. Cikmaz, B., Yildirim, E., Demir, I., 2023, Flood Susceptibility Mapping using Fuzzy Analytical Hierarchy Process for Cedar Rapids, Iowa. International Journal of Disaster Risk Reduction, 20, 42
    DOI: https://doi.org/10.31223/X57344
  47. Erazo, C.V., Sermet, Y., Demir, I., 2023, HydroLang Markup Language: Community-Driven Web Components for Hydrological Analyses. Journal of Hydroinformatics, 25 (4), 1171-1187
    DOI: https://doi.org/10.31223/X5NP9M
  48. Shahid, M., Sermet, Y., Demir, I., 2023, Towards Progressive Geospatial Information Processing on Web Systems: A Case Study for Watershed Analysis in Iowa. Earth Science Informatics, 1-14
    DOI: https://doi.org/10.31223/X5WK8C
  49. Sit, M., Seo, B.C. and Demir, I., 2023, TempNet--Temporal Super Resolution of Radar Rainfall Products with Residual CNNs. Journal of Hydroinformatics. 25(2), pp.552-566
    DOI: https://arxiv.org/abs/2109.09289
  50. Sermet, Y., Demir, I., 2023, Camera-Based Intelligent Stream Stage Sensing for Decentralized Environmental Monitoring. Science of the Total Environment, 25(2), pp.163-173
    DOI: https://doi.org/10.31223/X52K8X
  51. Alabbad, Y., Yildirim, E. and Demir, I., 2023, A Web-based Analytical Urban Flood Damage and Loss Estimation Framework. Environmental Modelling & Software, 105670
    DOI: https://doi.org/10.1016/j.envsoft.2023.105670
  52. Sit, M.A., Demir, I., 2023, Democratizing Deep Learning Applications in Earth and Climate Sciences on the Web: EarthAIHub. Applied Sciences, 13(5), 3185
    DOI: https://doi.org/10.31223/X56Q0H
  53. Zhang, M., Zhu, L., Lin, S.-Y., Herr, K., Chi, C.-L., Demir, I., Lopez D. K., Chi, N.-C., 2023, Using Artificial Intelligence to Improve Pain Assessment and Pain Management: A Systematic Review. Journal of the American Medical Informatics Association, 30, no. 3, 570-587
    DOI: https://doi.org/10.1093/jamia/ocac231
  54. Li, Z. and Demir, I., 2023, U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding. Science of The Total Environment, 869, p.161757
    DOI: https://doi.org/10.1016/j.scitotenv.2023.161757
  55. Granata, F., Di Nunno, F., Najafzadeh, M. and Demir, I., 2023, A Stacked Machine Learning Algorithm for Multi-Step Ahead Prediction of Soil Moisture. Hydrology, 10(1), p1
    DOI: https://doi.org/10.3390/hydrology10010001
  56. Li, Z., Duque, F.Q., Grout, T., Bates, B., Demir, I., 2023, Comparative Analysis of Performance and Mechanisms of Flood Inundation Map Generation using Height Above Nearest Drainage. Environmental Modelling and Software, Environmental Modelling & Software, 159, 105565
    DOI: https://doi.org/10.1016/j.envsoft.2022.105565
  57. Demir, I., Sermet, Y., Rink, K., 2022. Editorial: Next Generation Visualization and Communication Systems for Earth Science Using Immersive Reality and Serious Gaming. Frontiers in Earth Science.
    DOI: https://doi.org/10.3389/feart.2022.1101538
  58. Ewing, G., Mantilla, R., Krajewski, W. and Demir, I., 2022. Interactive hydrological modelling and simulation on client-side web systems: an educational case study. Journal of Hydroinformatics, 24(6), pp.1194-1206.
    DOI: https://doi.org/10.2166/hydro.2022.061
  59. Demir, I., Xiang, Z., Demiray, B. and Sit, M., 2022. WaterBench-Iowa: a large-scale benchmark dataset for data-driven streamflow forecasting. Earth system science data, 14(12), pp.5605-5616.
    DOI: https://doi.org/10.5194/essd-14-5605-2022
  60. 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, 157, p.105525.
    DOI: https://doi.org/10.1016/j.envsoft.2022.105525
  61. 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
  62. 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
  63. 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
  64. 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
  65. 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
  66. 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
  67. 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
  68. 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
  69. 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
  70. 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
  71. 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
  72. 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
  73. 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
  74. 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
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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
  87. 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: https://doi.org/10.2166/hydro.2019.068
  88. 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
  89. 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
  90. 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
  91. 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
  92. 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
  93. 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
  94. 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
  95. 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
  96. 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
  97. 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
  98. 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
  99. 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
  100. 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]
  101. 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
  102. 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
  103. 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
  104. 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
  105. 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
  106. 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
  107. 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
  108. 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
  109. 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
  110. 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
  111. 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
  112. 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
  113. 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.A., Seo, B.C., Demir, I., 2021. TempNet — Temporal Super Resolution of Radar Rainfall Products with Residual CNNs. ArXiv - arXiv:2109.09289 [cs.CV]
    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. Muste, M., Cikmaz, B., Lamoreaux, A., Baydaroglu-Yesilkoy, O., Demir, I., Meselhe, E., Bacotiu, C., 2023, ‘Monitoring the Manning’s n coefficient variation over the yearly cycle’, 40th IAHR World Congress, August 21-25, 2023, Vienna, Austria.
  2. Muste, M., Meselhe, E., Demir, I., Loeser, T. and Lynch, M., 2023. ‘A new paradigm for monitoring steady and unsteady flows in rivers’, Hydraulic Measurements and Experimental Methods Conference, June 25-29, 2023, Fort Collins, CO.
  3. Merwade, V., Cox, A., Demir, I., Minear, J.T., Muste, M., 2023, ‘RIMORPHIS: River Morphology Information System’, SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference, May 8-12, 2023, St. Louis, MO.
  4. Botero-Acosta, A., Cox, A. L., Sagan, V., Demir, I., Muste, M., Boyd, P., Pathak, C., 2023, ‘Anomaly Detection of Watershed Variables Related to Sedimentation in US Reservoirs’, SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference, May 8-12, 2023, St. Louis, MO.
  5. Meyer, D., Cox, A. L., Botero-Acosta, A., Sagan, V., Demir, I., Muste, M., Pathak, C., Boyd, P., 2023, ‘Estimating Reservoir Sedimentation using Deep Learning and the USACE RSI System Dataset’, SEDHYD-2023, Sedimentation and Hydrologic Modeling Conference, May 8-12, 2023, St. Louis, MO.
  6. Sit, M., Demiray, B.Z. and Demir, I., 2023, ‘EfficientTempNet: Temporal Super-Resolution of Radar Rainfall’, International Conference on Learning Representations (ICLR), May 1-5, 2023, Kigali, Rwanda.
  7. Erazo, C.V., Sermet, Y., Demir, I., 2022, ‘Hydrolang Markup Language: Community-Driven Web Components for Hydrological Analyses’, 3rd IAHR Young Professionals Congress, Nov 28-Dec 2, 2022, Virtual.
  8. 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
  9. 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
  10. Xiang, Z., Demir, I., 2021, ‘High-resolution rainfall-runoff modeling using graph neural network’, NeurIPS 2021 Workshop Tackling Climate Change with Machine Learning, December 14, 2021, Virtual.
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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: https://doi.org/10.5065/D6222SH7
  18. 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.
  19. 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
  20. 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.
  21. 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.
  22. 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
  23. 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
  24. 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.
  25. 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
  26. 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.

    27. Additionally, there are 310+ conference abstracts, presentations, and invited talks presented by our group.

Technical Publications and Reports

  1. UN WWDR 2023, United Nations World Water Development Report, Water and Climate Change, 2023.
  2. IWA Global Trends & Challenges in Water Science, Research and Management, International Water Association, 2023.
  3. Demir, I., and Freni, G., Monitoring and communication technologies for climate change, Hydrolink, 3, 2022.
  4. Cox, A. L., Meyer, D., Botero-Acosta, A., Sagan, V., Demir, I., Muste, M., Data Anomaly Detection and Sediment Yield Estimation in the US Army Corps of Engineers’ Reservoir Sedimentation Information (RSI) Database, July 2022, U.S. Army Corps of Engineers.
  5. NSF Workshop Report, Convergence Accelerator (CA) - Open Knowledge Network (OKN) EarthCube Workshop, ESIP 2020 Winter Meeting, January 6, 2020, North Bethesda, MD.
  6. Workshop Report, National Workshop on Developing a Research Agenda for Connected Rural Communities (CR17), September 7-8, 2017, Charlottesville, VA.
  7. 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.
  8. Demir, I., Yildirim, E., ‘HAZUS Flood Loss and Damage Estimation on the Web’, HAZUS Hotzone Newsletter, September Issue, 2017.
  9. Muste, M., Demir, I., ‘Serious Gaming for Community Engagement in Multi-Hazard Mitigation’, Hydrolink, IAHR, Issue 1, 2017.
  10. 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.
  11. Demir, I. (as contributor), Submitted by Technology and Architecture Committee, ‘EarthCube Strategic Technology Plan’, NSF EarthCube, August 31, 2015.
  12. Richard, S., Demir, I., Arko, A., Fils, D., ‘Standards and Standards Bodies Working Group Proposal’, NSF EarthCube, March 5, 2015.
  13. 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.
  14. Krajewski, W., Demir, I., ‘The Iowa Flood Information System Makes Iowans Safer, Better Informed’, Hydrolink, IAHR, Issue 1, 30-31, 2014.
  15. 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