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Faculty

Department of Computer Science

 

Research Interests

  • Urban-food-energy-water-nexus
  • Water quality management
  • Remote sensing of environment
  • System engineering and design science
  • Machine learning and hydroenvironmental research

Other Experience

  • Program director: Hydrologic Sciences Program and the Cyber-Innovated Sustainability Science and Engineering (CyberSEES) Program at the National Science Foundation from Aug. 2012 to Aug. 2014

Organizations

  • Florida Climate Institute

Honors & Awards

  • Recipient, Blaise Pascal Medal
  • Fellow, the International Society of Optics and Photonics
  • Fellow, the American Society of Civil Engineers
  • Fellow, the Royal Society of Chemistry (the United Kingdom)
  • Fellow, the Institute of Electrical and Electronics Engineers
  • Fellow, the International Association of Advanced Materials
  • Fellow, the Asia- Pacific Artificial Intelligence Association
  • Fellow, the American Association for the Advancement of Science
  • Fellow, the European Academy of Sciences
  • Fellow, the National Academy of Inventors

Selected Publications

  • Chang, N. B., Hossain, M. U., Valencia, A., Qiu, J., Zheng, Q., Gu, L., Chen, M., Lu, J. W., Pires, A., Kaandorp, C., Abraham, E., ten Veldhuis, M. C., van de Giesen, N., Molle, B., Tomas, S., Mouheb, N. A., Dotta, D., Declercq, R., Perrin, M., Conradi, L., and Molle, G. (2020). Integrative technology hubs for urban food-energy-water nexuses and cost-benefit-risk trade-offs (I): Global trend and technology metrics. Critical Reviews in Environmental Science and Technology, DOI: 10.1080/10643389.2020.1759328.
  • Chang, N. B., Hossain, M. U., Valencia, A., Qiu, J., Zheng, Q., Gu, L., Chen, M., Lu, J. W., Pires, A., Kaandorp, C., Abraham, E., ten Veldhuis, M. C., van de Giesen, N., Molle, B., Tomas, S., Mouheb, N. A., Dotta, D., Declercq, R., Perrin, M., Conradi, L., and Molle, G. (2020). Integrative technology hubs for urban food-energy-water nexuses and cost-benefit-risk trade-offs (II): Design strategies for urban sustainability. Critical Reviews in Environmental Science and Technology, DOI: 10.1080/10643389.2020.1761088.
  • Zhang, W., Valencia, A., Gu, L., Zheng, Q., and Chang, N. B. (2020): Integrating emerging and existing renewable energy technologies for a community-scale microgrid in an energy-water nexus for resilience improvement. Applied Energy, 279, 115716.
  • Wen, D., Valencia, A., Lustosa, E., Ordonez, D., Rice, N., Shokri, M., Gao, Y., Kibler, K., Chang, N. B., and Wanielista, M. P. (2020): Evaluation of green sorption media blanket filters for nitrogen removal in a stormwater retention basin at varying groundwater conditions in a karst environment. Science of the Total Environment, 719(1), 134826. 10.1016/j.scitotenv.2019.134826.
  • Valencia, A., Zhang, W., and Chang, N. B. (2021): Integration of machine learning classifiers and higher-order tensors for screening the optimal recipe of filter media in stormwater treatment. Science of the Total Environment, doi.org/10.1016/j.scitotenv.2021.145423
  • Zhang, W., Valencia, A., and Chang, N. B. (2021): Synergistic integration between machine learning and agent-based modeling: A multidisciplinary review. IEEE Transactions on Neural Networks and Learning Systems, 10.1109/TNNLS.2021. 3106777.
  • Sun, Z., Chang, N. B., Chen, C. F., Mostafiz, C., and Gao, W. (2021): Ensemble learning via higher order singular value decomposition for integrating data and classifier fusion in water quality monitoring. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, doi:10.1109/JSTARS.2021.3055798.
  • Podder, A., Sadmani, A. H. M. A., Reinhart, D., Chang, N. B., and Goel, R. (2021): Per and poly-fluoroalkyl substances (PFAS) as a contaminant of emerging concern in surface water: A transboundary review of their occurrences and toxicity effects. Journal of Hazardous Materials, 419, 126361.
  • Valencia, A., Zhang, W., and Chang, N. B. (2022): Sustainability transitions of urban food-energy-water-waste infrastructure: A living laboratory approach for circular economy. Resources Conservation and Recycling, 177, 105991.
  • Valencia, A., Zhang, W., Gu, L., and Chang, N. B. (2022): Synergies of green building retrofit strategies for improving sustainability and resilience via a building-scale food-energy-water nexus. Resources Conservation and Recycling, 176, 105939.
  • Sun, Z., Chang, N. B., Chen, C. F., and Gao, W. (2022): Lake algal bloom monitoring via remote sensing with biomimetic and computational intelligence. International Journal of Applied Earth Observation and Geoinformation, 113, 102991.
  • Ordonez, D., Podder, A., Valencia, A., Sadmani, H. M., Reinhart, D., and Chang, N. B. (2022): Continuous fixed-bed column adsorption of Perfluorooctane Sulfonic Acid (PFOS) and Perfluorooctanoic Acid (PFOA) from canal water using zero-valent iron-based filtration media, Separation and Purification Technology, 299(15), 121800.
  • Islam, T., Valencia, A., Ordonez, D., Sadmani, A.H.M., and Chang, N. B. (2023): The effect of Green Sorption Media pretreatment on nanofiltration membrane for PFAS removal. Separation and Purification Technology, 324, 124548,
  • Elkamel M., Valencia A., Zhang, W., Zheng, Q., and Chang, N. B. (2023): Multiagent modeling for linking a green transportation system with an urban agriculture network in a food-energy-water nexus. Sustainable Cities and Society, 89, 104354.
  • Zhang, W., Valencia, A., and Chang N. B. (2023): Fingerprint networked reinforcement learning via multiagent modeling for improving decision-making in an urban food-energy-water nexus. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53(7), 4324 – 4338.
  • Bai, K., Li, K., Sun, Y., Wu, L., Zhang, Y., Chang, N. B., and Li. Z. (2023). Global synthesis of two-decades research on improving PM2.5 estimation models from remote sensing and data science perspectives. Earth Science Reviews, 241, 104461.