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PUBLICATIONS & CREATIVE WORKS


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


Books and Book Chapters

  1. Book: Demir, I., 'Artificial Intelligence in Hydroinformatics', Volume: 'Advanced Machine Learning'
    2023, Taylor & Francis. Edited by Demir, I., Freni, G. (in preparation)
  2. Chapter: Demir, I., '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. Chapter: Demir et al., ‘Introduction to Artificial Intelligence and Hydroinformatics’
    Book: 'Artificial Intelligence in Hydroinformatics', Volume: 'Advanced Machine Learning'
    2025, Taylor & Francis. Edited by Demir, I., Freni, G.
  4. Chapter: Demir et al., ‘Next Generation AI-Enabled Hydrological Data Analytics, Scientific Computing and Knowledge Communication’
    Book: 'Artificial Intelligence in Hydroinformatics', Volume: 'Advanced Machine Learning'
    2025, Taylor & Francis. Edited by Demir, I., Freni, G.
  5. Chapter: Demir et al., ‘Enhancing Environmental and Disaster Education with AI-Driven Tutoring and Immersive Gamification’
    Book: 'Transforming Education with AI: Focus on Content, Analytics, and Inclusivity'
    2025, Springer. Edited by L. Daniela, et al.
  6. Chapter: Demir et al., ‘Adaptive Learning and Personalized Assessments with Generative AI: Insights from Higher Education and Professional Training’
    Book: 'Generative AI in Higher Education Assessment – Theory, Practice, and Ethical Implications'
    2025, Springer. Edited by M. Lahby et al.
    ISBN: 9783032016379
  7. Chapter: Sermet, Y. & Demir, I., ‘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
  8. Chapter: Hu, A. & Demir, I., ‘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
  9. Chapter: Sit, M.A., Koylu, C. & Demir, I., '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
  10. Chapter: Sermet, Y., Demir, I., '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
  11. Chapter: Muste, M., Kim, D., Demir, I., '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 (in review)

  1. House, E., Meselhe, E., Muste, M., Kim, K., Demir, I., 2025. A Sensitivity Analysis Approach to Identifying Drivers of Streamflow Hysteresis. Journal of the American Water Resources Association
    DOI: https://doi.org/10.31223/X5CJ1Q
  2. Demiray, B.Z., Demir, I., 2025. Advancing Long-Horizon Hydrological Forecasting A Mamba-based Approach with Explainable AI for Generalized Streamflow Prediction. Environmental Modelling and Software
    DOI: https://doi.org/10.31223/X5B164
  3. Islam, S.M.S., Cwiertny, D.M., Demir, I., 2025. Trends in Nitrate Levels in Iowa's Community Water Systems (2000-2022): Characteristics of Systems Vulnerable to MCL Exceedances and Future Regulatory Scenarios. Journal of Environmental Quality
    DOI: https://doi.org/10.31223/X5FT8R
  4. Sajja, R., Sermet, Y., Demir, I., 2025. Domain-Specific Embedding Models for Hydrology and Environmental Sciences: Enhancing Semantic Retrieval and Question Answering in RAG Pipelines. Water Science & Technology
    DOI: https://doi.org/10.31223/X5DQ71
  5. Islam, S.M.S., Fatematozzohora, M., Demir, I., 2025. Regional Variability of Drought-Crop Sensitivities Across Iowa Using Unsupervised Learning. Agricultural Systems
    DOI: https://doi.org/10.31223/x5kf1j
  6. Sajja, R., Mermer, O., Sermet, Y., Demir, I., 2025. Hydro3DJS: A Modular Web-Based Library for Real-Time 3D Visualization of Watershed Dynamics and Digital Twin Integration. Environmental Modeling and Software
    DOI: https://doi.org/10.31223/X5WX62
  7. Erazo, C., Demir, I., 2025. AI-Assisted Voice Enabled Computing Framework for Hydrological Analysis. Environmental Modeling and Software
    DOI: https://doi.org/10.31223/X5C44Q
  8. Erazo, C., Demir, I., 2025. HydroBlox: AI-Assisted Visual Programming Framework for Enhanced Scientific Reproducibility in Hydrology. Environmental Modeling and Software
    DOI: https://doi.org/10.31223/X56J0S
  9. Sajja, R., Sermet, Y., Fodale, B., Demir, I., 2025. Evaluating AI-Powered Learning Assistants in Engineering Higher Education: Student Engagement, Ethical Challenges, and Policy Implications. Computer Applications in Engineering Education
    DOI: https://doi.org/10.48550/arXiv.2506.05699
  10. Muste, M., Kim, K., Kim, D., Demir, I., 2025. Comparative Analysis of the Stage-Discharge Rating Operated in Gradual Varied Flows with Alternative Streamflow Monitoring Approaches. Water Resources Research
    DOI: https://doi.org/10.31223/X52Q7X
  11. Sajja, R., Sermet, Y., Demir, I., 2025. An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education. International Journal of Artificial Intelligence in Education
    DOI: https://doi.org/10.48550/arXiv.2505.04916
  12. Mukarram, M.M.T., Rukiya, Q.U., Demir, I., 2025. GeoAI-based Urban Environmental Forecasting: A Remote Sensing Driven Hybrid Deep Learning and Machine Learning Framework. Environmental Monitoring and Assessment
    DOI: https://doi.org/10.31223/X54H97
  13. Duran, E., Mount, J., Demir, I., 2025. Comprehensive Flood Impact Assessment for Iowa Bridge Infrastructure Using Integrated AHP and Fuzzy AHP Analysis. Resilient Cities and Structures
    DOI: https://doi.org/10.31223/X5VD9Q
  14. Islam, S.M.S., Demir, I., 2025. Comparative Analysis of Flood Risk Zoning and Susceptibility Assessment for the Western Corn Belt Plains using Geospatial Techniques. Journal of Environmental Management
    DOI: https://doi.org/10.31223/X5072K
  15. Kadiyala, L.A., Sajja, R., Sermet, Y., Demir, I., 2025. Enhancing Collective Intelligence in Large Language Models Through Emotional Integration. Knowledge-Based Systems
    DOI: https://doi.org/10.48550/arXiv.2503.04849
  16. Mermer, O., Zhang, E., and Demir, I., 2025. Integrated Explainable Ensemble Machine Learning Prediction of Injury Severity in Agricultural Accidents. IEEE Access
    DOI: https://doi.org/10.1101/2025.02.05.25321769
  17. Satilmis, U., Mount, J., Bayram, A., Demir, I., 2025. Comprehensive Assessment of Flood Risk and Community Impact of Concentrated Animal Feeding Operations in Iowa. Environmental Research Letters
    DOI: https://doi.org/10.31223/x59h9s
  18. Pursnani, V., Erazo, C., Sermet, Y., and Demir, I., 2025. HydroSuite-AI: Facilitating Hydrological Research with LLM-Driven Code Assistance. Water Science and Technology
    DOI: https://doi.org/10.31223/X5RM6Q
  19. Duran, E., Demir, I., 2025. Comprehensive Assessment of Flood Impact, Zonal Statistics, and Site Suitability for Wind Turbines in Iowa. International Journal of Disaster Risk Reduction
    DOI: https://doi.org/10.31223/X5R12B
  20. Islam, S.M.S., Mount, J., Demir, I., 2025. Decoding Drought-Yield Relationships in the U.S. Midwest: A Multiscale Analysis Using Climatic Indicators and Random Forests. European Journal of Agronomy
    DOI: https://doi.org/10.2139/ssrn.5274243
  21. Baydaroglu, O., Yeşilköy, S., and Demir, I., 2025. A Phenology-Dependent Analysis for Identifying Key Drought Indicators for Crop Yield based on Causal Inference and Information Theory. Scientific Reports
    DOI: https://doi.org/10.31223/X5GD8X
  22. Li, Z., Demiray, B.Z., Muste, M., and Demir, I., 2025. An Integrated Framework for Actionable Flood Warnings Using High Resolution Satellite Imagery. Journal of Hydroinformatics
    DOI: https://doi.org/10.31223/X5TT4N
  23. Cikmaz, A.B., Mount, J., and Demir, I., 2025. Evaluating the Flood Vulnerability of Urban Areas in Polk County, Iowa using Social-Ecological-Technological Framework. International Journal of Disaster Risk Reduction
    DOI: https://doi.org/10.31223/X5Z10F
  24. Demiray, B.Z., Demir, I., 2025. Towards Generalized Hydrological Forecasting using Transformer Models for 120-Hour Streamflow Prediction. Water Resources Management
    DOI: https://doi.org/10.48550/arXiv.2406.07484
  25. Vald, G., Sermet, Y., Mount, J., Shrestha, S., Samuel, D.J., Cwiertny, D.M., Demir, I., 2025. Integrating Conversational AI Agents for Enhanced Water Quality Analytics: Development of a Novel Data Expert System. Water Science and Technology
    DOI: https://doi.org/10.31223/X51997
  26. Erazo, C., Song, K., Demir, I., 2025. Technological Trends in The Field of Hydrology and Environmental Sciences: A Bibliometric Analysis. Environmental Modeling and Software
    DOI: https://doi.org/10.31223/X5DH56
  27. Vald, G., Samuel, D.J., Sermet, Y., Mount, J., Cwiertny, D.M., Demir, I., 2025. Application of Large Language Models in Developing Conversational Agents for Water Quality Education, Communication and Operations. Water Practice and Technology
    DOI: https://doi.org/10.31223/X5XT4K
  28. Islam, S.S.M., Demir, I., 2025. A Novel Methodology for Enhancing Flood Risk Communication: The Nines of Safety. Science of Total Environment
    DOI: https://doi.org/10.31223/X58H5Z
  29. Sit, M., Demiray, B.Z. and Demir, I., 2025. Spatial Downscaling of Streamflow Data with Attention Based Spatio-Temporal Graph Convolutional Networks. Nature Scientific Reports
    DOI: https://doi.org/10.31223/X5666M
  30. Sit, M., Demiray, B.Z. and Demir, I., 2025. A Systematic Review of Deep Learning Applications in Streamflow Data Augmentation and Forecasting. Hydrological Sciences Journal
    DOI: https://doi.org/10.31223/X57H2H
  31. Sit, M., Demiray, B.Z. and Demir, I., 2025. A Systematic Review of Deep Learning Applications in Interpolation and Extrapolation of Precipitation Data. Water Resources Management
    DOI: https://doi.org/10.31223/X5HM08
  32. Akhlaghi, V.E., Campbell, A.M. and Demir, I., 2025. The Flood Mitigation Problem in a Road Network. Production and Operations Management
    DOI: https://doi.org/10.48550/arXiv.2302.07983
  33. Xiang, Z., Demir, I., 2025. Real-Time Streamflow Forecasting Framework, Implementation and Post- Analysis Using Deep Learning. Geophysical Research Letters
    DOI: https://doi.org/10.31223/X5BW6R
  34. Xiang, Z., Demir, I., 2025. Fully distributed rainfall-runoff modeling using spatial-temporal graph neural network. Water Resources Research
    DOI: https://doi.org/10.31223/X57P74
  35. Xiang, Z., Demir, I., Mantilla, R., Krajewski, W.F., 2025. A Regional Semi-Distributed Streamflow Model Using Deep Learning. Journal of Hydrology
    DOI: https://doi.org/10.31223/X5GW3V

Journal Articles (published / in press)

  1. Najafzadeh, M., Basirian, S., Demir, I., 2026. Water Quality Monitoring for Coastal Hypoxia: Integration of Satellite Imagery and Machine Learning Models, Marine Pollution Bulletin, 222 (2), 118735.
    DOI: https://doi.org/10.1016/j.marpolbul.2025.118735
  2. Sajja, R., Sermet, Y., Cwiertny, D. and Demir, I., 2025. Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education. Technology, Knowledge and Learning.
    DOI: https://doi.org/10.1007/s10758-025-09897-9
  3. Kizilkaya, D., Sermet, Y., Demir, I., 2025. Towards HydroLLM: Approaches for Building a Domain-Specific Language Model for Hydrology, Journal of Hydroinformatics.
    DOI: https://doi.org/10.2166/hydro.2025.100
  4. Sajja, R., Sermet, Y., Cwiertny, D. and Demir, I., 2025. Integrating AI and Learning Analytics for Data-Driven Pedagogical Decisions and Personalized Interventions in Education’. Technology, Knowledge and Learning.
    DOI: https://doi.org/10.1007/s10758-025-09897-9
  5. Kaynak, S., Kaynak, B., Mermer, O., and Demir, I., 2025. City-scale Digital Twin Framework for Flood Impact Analysis: Integrating Urban Infrastructure and Real-Time Data Analytics, Urban Climate, 64, 102640.
    DOI: https://doi.org/10.1016/j.uclim.2025.102640
  6. Sajja, R., Xiong, X., Mermer, O., Sermet, Y., Demir, I., 2025. A Bibliometric Overview of Conversational AI in Hydrology and Environmental Sciences, Information Geography, 1 (2).
    DOI: https://doi.org/10.1016/j.infgeo.2025.100030
  7. Emiroglu, E., Grant, C.A., Sermet, Y., and Demir, I., 2025. Floodcraft: Game-based Interactive Learning Environment using Minecraft for Flood Mitigation for K-12 Education, International Journal of Disaster Risk Reduction, 130, 105799.
    DOI: https://doi.org/10.1016/j.ijdrr.2025.105799
  8. Herkert, N., Demiray, B.Z., Demir, I., Hornbuckle, K.C., 2025. Web-based Data Analytics Framework for PUF-PAS Effective Sampling Rate and Volume. Environmental Engineering Science, 42:9, 370-380.
    DOI: https://doi.org/10.1177/15579018251359733
  9. House, E., Meselhe, E., Muste, M., Demir, I., 2025. Streamflow Hysteresis Analysis through a Deep Dive Budget of the St Venant Momentum Terms. Water Resources Research, 61, 8.
    DOI: https://doi.org/10.1029/2024WR038103
  10. Alabbad, Y., Cikmaz, A.B., Yildirim, E., Demir, I., 2025. Flood Exposure Assessment of Railway Infrastructure: A Case Study for Iowa, Applied Sciences, 15 (16), 899.
    DOI: https://doi.org/10.3390/app15168992
  11. Kadiyala, L.A., Sajja, R., Sermet, Y., Muste, M., Demir, I., 2025. AI-Driven Decision-Making for Water Resources Planning and Hazard Mitigation Using Automated Multi Agents, Journal of Hydroinformatics, 27, 1217-1237.
    DOI: https://doi.org/10.2166/hydro.2025.042
  12. Sufi, M., Erazo, C., Demir, I., 2025. HydroLang FRAM: Web-Based Framework for Comprehensive Flood Risk and Mitigation Assessment and Communication. International Journal of Disaster Risk Reduction, 128, 105735.
    DOI: https://doi.org/10.1016/j.ijdrr.2025.105735
  13. Vald, G., Sermet, Y., Chi, N.C., Demir, I., 2025. AI-Powered Nursing Handoffs: Introducing and Evaluating the Patient Report Template, Learning Health Systems, e70026.
    DOI: https://doi.org/10.1002/lrh2.70026
  14. Baydaroglu, O., Yeşilköy, S., Dave, A., Linderman, M., and Demir, I., 2025. Modeling Algal Toxin Dynamics and Integrated Web Framework for Lakes, Toxins, 17 (7), 338.
    DOI: https://doi.org/10.3390/toxins17070338
  15. House, E., Kyeongdong, K., Muste, M., Meselhe, E., Demir, I., 2025. Back to Basics: On the Proper Determination of Free-Surface Slope (FSS) in Gradually-Varied Open Channel Flows, Flow Measurement and Instrumentation, 106, 102979.
    DOI: https://doi.org/10.1016/j.flowmeasinst.2025.102979
  16. Alabbad, Y., Demir, I., 2025. Understanding Flood Risk in Public Transit Systems: Insights from Accessibility and Vulnerability Analysis in Iowa. International Journal of Disaster Risk Reduction, 126, 105615.
    DOI: https://doi.org/10.1016/j.ijdrr.2025.105615
  17. Kizilkaya, D., Sajja, R., Sermet, Y., Demir, I., 2025. Towards HydroLLM: A Benchmark Dataset for Hydrology-Specific Knowledge Assessment for Large Language Models, Environmental Data Science, 4, e31.
    DOI: https://doi.org/10.1017/eds.2025.10006
  18. Mermer, O., Zhang, E., and Demir, I., 2025. A Comparative Study of Ensemble Machine Learning and Explainable AI for Predicting Harmful Algal Blooms, Big Data and Cognitive Computing, 9 (5), 138.
    DOI: https://doi.org/10.3390/bdcc9050138
  19. Mudiyanselage, U.H., Gonzalez, E.L., Sermet, Y., Demir, I., 2025. An Immersive Hydroinformatics Framework with Extended Reality for Enhanced Visualization and Simulation of Hydrologic Data, Applied Sciences, 15 (10), 5278.
    DOI: https://doi.org/10.3390/app15105278
  20. Mermer, O., and Demir, I., 2025. Multivariate Regression Analysis for Identifying Key Drivers of Harmful Algal Bloom in Lake Erie, Applied Sciences, 15 (9), 4824.
    DOI: https://doi.org/10.3390/app15094824
  21. Pursnani, V., Sermet, Y., and Demir, I., 2025. A Conversational Intelligent Assistant for Enhanced Operational Support in Floodplain Management with Multimodal Data. International Journal of Disaster Risk Reduction, 122, 105422.
    DOI: https://doi.org/10.1016/j.ijdrr.2025.105422
  22. Sajja, R., Sermet, Y., and Demir, I., 2025. End-to-End Deployment of the Educational AI Hub for Personalized Learning and Engagement: A Case Study on Environmental Science Education. IEEE Access,13, 55169-55186, 2025.
    DOI: https://doi.org/10.1109/ACCESS.2025.3554222
  23. Demiray, B.Z., Mermer, O., Baydaroglu, O., and Demir, I., 2025. Predicting Harmful Algal Blooms Using Explainable Deep Learning Models: A Comparative Study, Water, 17(5), 676.
    DOI: https://doi.org/10.3390/w17050676
  24. Abrar, M., Sermet, Y., Demir, I., 2025. An Empirical Evaluation of Large Language Models on Consumer Health Questions, BioMedInformatics, 5(1), 12.
    DOI: https://doi.org/10.3390/biomedinformatics5010012
  25. Demiray, B.Z., Sermet, Y., Yildirim, E., Demir, I., 2025. FloodGame: An Interactive 3D Serious Game on Flood Mitigation for Disaster Awareness and Education’. Environmental Modeling and Software, 188, 106418.
    DOI: https://doi.org/10.1016/j.envsoft.2025.106418
  26. Kaynak, B., Mermer, O., Sermet, Y., Demir, I., 2025. HydroSignal: Open-Source Internet of Things Information Communication Platform for Hydrological Education and Outreach, Environmental Monitoring and Assessment, 197(4), 1-21.
    DOI: https://doi.org/10.1007/s10661-025-13812-1
  27. Sajja, R., Pursnani, V., Sermet, Y., and Demir, I., 2025. AI-Assisted Educational Framework for Floodplain Manager Certification: Enhancing Vocational Education and Training Through Personalized Learning. IEEE Access, 13, 42401-42413.
    DOI: https://doi.org/10.1109/ACCESS.2025.3548591
  28. Kaynak, S., Kaynak, B., Erazo, C., Demir, I., 2025. Geo-WC: Custom Web Components for Earth Science Organizations and Agencies, Environmental Modeling and Software, 185, 106328.
    DOI: https://doi.org/10.1016/j.envsoft.2025.106328
  29. Duran, E., Alabbad, Y., Mount, J., Yildirim, E., Demir, I., 2025. Comprehensive Analysis of Riverine Flood Impact on Bridges: Iowa Case Study. International Journal of River Basin Management, 1–14.
    DOI: https://doi.org/10.1080/15715124.2025.2457546
  30. Cox, A., Muste, M., Merwade, V., Demir, I., Minear, J.T., Dey, S., Liang, C.Y. and Sermet, Y., 2025. Engaging the Earth Science and Engineering Communities in Developing a River Morphology Information System (RIMORPHIS). Journal of the American Water Resources Association, 61 (1), e13252.
    DOI: https://doi.org/10.1111/1752-1688.13252
  31. Li, Z., Sermet, Y., Demir, I., 2025. EarthObsNet: A Comprehensive Benchmark Dataset for Data-Driven Earth Observation Image Synthesis. Environmental Modeling and Software, 185, 106292.
    DOI: https://doi.org/10.1016/j.envsoft.2024.106292
  32. Merwade, V., Demir, I., Muste, M., Cox, A.L., Minear, J.T., Sermet, Y., Dey, S., Liang, C., 2025. Towards an Open and Integrated Cyberinfrastructure for River Morphology Research in the Big Data Era. Environmental Modeling and Software, 183, 106240.
    DOI: https://doi.org/10.1016/j.envsoft.2024.106240
  33. Sermet, Y., Liang, C.Y., Dey, S., Muste, M., Merwade, V., Cox, A., Minear, J.T., Demir, I., 2025. River Morphology Information System: A Web Cyberinfrastructure for Advancing River Morphology Research, Environmental Modeling and Software, 183, 106222.
    DOI: https://doi.org/10.1016/j.envsoft.2024.106222
  34. Chi, N. C., Nguyen, K., Shanahan, A., Demir, I., Fu, Y. K., Chi, C. L., Perkhounkova, Y., Hein, M., Buckwalter, K., Wolf, M., Walliams, L., Herr, K., 2025. Usability Testing of the PACE-App to Support Family Caregivers in Managing Pain for People with Dementia. The Gerontologist, 65(2), gnae163.
    DOI: https://doi.org/10.1093/geront/gnae163
  35. 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. Big Data and Cognitive Computing, 8 (12), 188.
    DOI: https://doi.org/10.3390/bdcc8120188
  36. 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, Environmental Research Communications, 6, 102003.
    DOI: 10.1088/2515-7620/ad85c4
  37. Sajja, R., Sermet, Y., Cikmaz, M., Cwiertny, D.M., and Demir, I., 2024. Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. Information, 15 (10), 596.
    DOI: https://doi.org/10.3390/info15100596
  38. Grant, C.A., Alabbad, Y., Yildirim, E., and Demir, I., 2024. Comprehensive Assessment of Flood Risk and Vulnerability for Essential Facilities: Iowa Case Study, Urban Science, 8(3), 145.
    DOI: https://doi.org/10.3390/urbansci8030145
  39. Kadiyala, L.A., Mermer, O., Samuel, D.J., Sermet, Y., Demir, I., 2024. The Implementation of Multimodal Large Language Models for Hydrological Applications: A Comparative Study of GPT-4 Vision, Gemini, LLaVa, and Multimodal-GPT, Hydrology, 11(9), 148.
    DOI: https://doi.org/10.3390/hydrology11090148
  40. Baydaroğlu, O., Muste, M., Cikmaz, A.B., Kim, K., Meselhe, E., Demir, I., 2024. Testing Protocols for Smoothing Datasets of Hydraulic Variables Acquired during Unsteady Flows, Hydrological Sciences Journal, 1-18.
    DOI: https://doi.org/10.1080/02626667.2024.2394169
  41. Mount, J., Sermet, Y., Jones, C. S., Schilling, K., Gassman, P. W., Weber, L. J., Krajewski, W. F., Demir, I., 2024. An Integrated Cyberinfrastructure System for Water Quality Resources in the Upper Mississippi River Basin, Journal of Hydroinformatics, 26 (8): 1970–1988.
    DOI: https://doi.org/10.2166/hydro.2024.079
  42. Samuel, D.J., Sermet, Y., Cwiertny, D.M., Demir, I., 2024. Integrating Vision-Based AI and Large Language Models for Real-Time Water Pollution Surveillance, Water Environment Research, 96(8), e11092.
    DOI: https://doi.org/10.1002/wer.11092
  43. 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, Journal of Hydrologic Engineering, 29, 5.
    DOI: https://doi.org/10.1061/JHYEFF.HEENG-6206
  44. 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. Atmospheric Research, 309, 107553.
    DOI: https://doi.org/10.1016/j.atmosres.2024.107553
  45. Yeşilköy, S., Demir, I., 2024. Crop Yield Prediction based on Reanalysis and Crop Phenology Data in the Agroclimatic Zones. Theoretical and Applied Climatology, 1-14.
    DOI: https://doi.org/10.31223/X5BW8H
  46. Alabbad, Y. and Demir, I., 2024. Geo-Spatial Analysis of Built-Environment Exposure to Flooding: Iowa Case Study. Discover Water, 4 (1), 28.
    DOI: https://doi.org/10.1007/s43832-024-00082-0
  47. 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, 178, 106068.
    DOI: https://doi.org/10.1016/j.envsoft.2024.106068
  48. Demiray, B.Z., Sit, M.A., Mermer, O., Demir, I., 2024. Enhancing Hydrological Modeling with Transformers: A Case Study for 24-Hour Streamflow Prediction. Water Science & Technology, 89(9), 2326-2341.
    DOI: https://doi.org/10.2166/wst.2024.110
  49. 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, 29 (4).
    DOI: https://doi.org/10.1061/JHYEFF.HEENG-6135
  50. Baydaroğlu Yeşilköy, Ö. and Demir, I., 2024. Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting. Journal of Hydroinformatics, 26, 3, 589.
    DOI: https://doi.org/10.2166/hydro.2024.235
  51. Li, Z., Demir, I., 2024. MultiRS Flood Mapper: A Google Earth Engine Application for Water Extent Mapping with Multimodal Remote Sensing and Quantile-Based Postprocessing, Environmental Modeling and Software, 176, 106022.
    DOI: https://doi.org/10.1016/j.envsoft.2024.106022
  52. Sit, M., Seo, B.C., Demiray, B.Z. and Demir, I., 2024. EfficientRainNet: Leveraging EfficientNetV2 for memory-efficient rainfall nowcasting. Environmental Modeling and Software, 176, 106001.
    DOI: https://doi.org/10.1016/j.envsoft.2024.106001
  53. Satilmisoglu, T.K., Kurt, M., Sermet, Y. and Demir, I., 2024. Blockchain Opportunities for Water Resources Management: A Comprehensive Review. Sustainability, 16, 2403.
    DOI: https://doi.org/10.3390/su16062403
  54. 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, 175, 106005.
    DOI: https://doi.org/10.1016/j.envsoft.2024.106005
  55. 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
  56. 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
  57. 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
  58. 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
  59. 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
  60. 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 Total Environment, 908, 168346.
    DOI: https://doi.org/10.1016/j.scitotenv.2023.168346
  61. Gourbesville, P., Freni, G., Demir, I., Navarro, P. G., Lin, G. F., Boxall, J., Brentan, B. M., Nguyen, V. T. V., Tassi, P., Hinkelman, R., Di Cristo, C., Laucelli, D., Berardi, L., Menapace, A., Meniconi, S., Nohara, D., Rokstad, M., Gilewski, P., Georgescu, S. C., Makropoulos, C., Delestre, O., Kuo, H., Abily, M., Zyl, J. V., Popescu, I., Qiang, M., Nguyen, V. T., Liu, D., Jang, D., Shrestha, S., & Duong, V. N., 2023. Why Digital Water – Knowledge Application & Hydroinformatics?. Digital Water (TDWA), 1 (1)
    DOI: https://doi.org/10.1080/28375807.2024.2321312
  62. 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
  63. 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
  64. 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/10.1016/j.jenvman.2023.119025
  65. 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://10.3808/jei.202300500
  66. 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/10.1186/s41239-023-00412-7
  67. 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
  68. 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/10.1080/15715124.2023.2216936
  69. 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/10.2166/hydro.2023.149
  70. 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/10.1007/s12145-023-00993-x
  71. 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://doi.org/10.2166/hydro.2023.196
  72. 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/10.2166/hydro.2023.032
  73. 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
  74. 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/10.3390/app13053185
  75. 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
  76. 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
  77. 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
  78. 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
  79. 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
  80. 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
  81. 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
  82. 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
  83. 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
  84. 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
  85. 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
  86. 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
  87. 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
  88. 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
  89. 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
  90. 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
  91. 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
  92. 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
  93. 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
  94. 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
  95. 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
  96. 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
  97. 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
  98. 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
  99. 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
  100. 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
  101. 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
  102. 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
  103. 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
  104. 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
  105. 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
  106. 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
  107. 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
  108. 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
  109. 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
  110. 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
  111. 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
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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]
  123. 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
  124. 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
  125. 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
  126. 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
  127. 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
  128. 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
  129. 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
  130. 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
  131. 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
  132. 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
  133. 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
  134. 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
  135. 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. Pathak, R., Vald, G., Sermet, Y., Demir, I., ‘Utilizing Large Language Models to Predict ICD-10 Diagnosis Codes of Patient Medical Records’, MIT URTC – Undergraduate Research Technology Conference, Oct 11 – 13, 2024, Cambridge, MA.
  2. Baydaroglu, O., Demir, I., ‘The Impact of Data Augmentation on Flood Nowcasting’, 36th OSTIV Congress, August 19-23, 2024, Uvalde, TX.
  3. Pursnani, V., Sermet, Y., Samuel, D.J., Sajja, R., Demir, I., ‘Enhancing Floodplain Decision-Making: A Novel AI Virtual Assistant Integrating GPT and Semantic Technologies’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  4. Vald, G., Samuel, D.J., Sermet, Y., Shrestha, S., Mount, J., Cwiertny, D., Demir, I., ‘Utilizing ChatGPT for Enhanced Water Quality Management through Conversational AI Technology’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  5. Emiroglu, E.R., Grant, C.A, Sermet, Y., Demir, I., ‘Gamifying Flood Mitigation Education: Development and Implementation of FloodCraft in Minecraft for Enhancing Youth Resilience to Flooding’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  6. Sermet, Y., Mitta, D., Demir, I., ‘Enhancing Efficiency and Objectivity in Environmental Academic Peer Review Processes through Artificial Intelligence’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  7. Samuel, D.J., Vald, G., Sermet, Y., Shrestha, S., Mount, J., Cwiertny, D., Sajja, R., Demir, I., ‘Advancing Water Quality Management Through Conversational AI: The Development of a Data Expert System’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  8. Mudiyanselage, U.H., Gonzalez, E., Rahmani, A., Sermet, Y., Demir, I., ‘Enhancing Hydrological Data Visualization Through Extended Reality: A Framework for Environmental Decision-Making’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  9. Sajja, R., Sermet, Y., Cwiertny, D., Demir, I., ‘Integrating AI-Enhanced Adaptive Learning Systems in Environmental Sciences Education’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  10. Kadiyala, L.A., Samuel, D.J., Mermer, O., Sermet, Y., Sajja, R., Demir, I., ‘A Comprehensive Comparison of Multimodal Large Language Models (MLLMs) in Hydrology’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  11. Shrestha, S., Mount, J., Vald, G., Sermet, Y., Samuel, D.J., Cwiertny, D., Demir, I., ‘Advancing Nitrogen Management and Water Quality Analysis through Cyberinfrastructure and AI Integration’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  12. Demir, I., Sermet, Y., ‘Conversational AI, Digital Twins, and Metaverse in Water Resources Research, Education and Operations’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  13. Erazo, C., Sermet, Y., Demir, I., ‘HydroSuite: Open Source Collaborative Web-based Software Suite for Hydrological Research and Education’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  14. Erazo, C., Shahid, M., Sermet, Y., Demir, I., ‘Development of a Communication Library for Large-Scale Data Processing and Transfer in the Hydrological Domain’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  15. Demiray, B.Z., Erazo, C., Demir, I., ‘A New Wave in Hydrological Modelling: Transformer Models for Extended Streamflow Prediction’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  16. Gonzalez, E., Rahmani, A., Sermet, Y., Demir, I., ‘FloodSim Sandbox: Leveraging Realtime Fluid Simulation in Flood Visualization’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  17. Rahmani, A., Sermet, Y., Demir, I., ‘Enhancing Hydroinformatics Education through Virtual Reality and AI Integration’, 12th International Congress on Environmental Modelling and Software, Jun 23-27, 2024, East Lansing, MI.
  18. Erazo, C., Sermet, Y., Demir, I., ‘HydroCompute: An Open-Source Web-Based Computational Library for Hydrology and Environmental Sciences’, 4th IAHR Young Professionals Congress, November 22-24, 2023, Online.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. 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
  26. 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
  27. 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.
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. 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.
  36. 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
  37. 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.
  38. 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.
  39. 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
  40. 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
  41. 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.
  42. 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
  43. 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.

    44. 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