Machine Learning and Stormwater Management

Moderator(s)

• 

  Marc Leisenring, PE

  Senior Principal
  Geosyntec Consultants, Oregon, United States

Presentations:

• 4:45 PM – 5:00 PM Alaska Daylight Time (AKDT)

  Integrating AI and UAVs for Real-Time Analysis and Maintenance of Stormwater Infrastructure
  

  Author: Chimdalu Offiah (she/her/hers) – Morgan State University

  Co-Author: Kayla Brown – Morgan State University

  Co-Author: Xin Zhou (she/her/hers) – Morgan State University

  Co-Author: DongHee Kang – Morgan State University
• 5:00 PM – 5:15 PM Alaska Daylight Time (AKDT)

  Optimal Control of Combine Sewer Overflows (CSOs) Using Gradient-Based Neural Network Inversion with Projected Precipitation Inputs
  

  Author: Zain Syed – Florida International University

  Co-Author: Yasaman Saadati – Florida International University

  Co-Author: Zeda Yin – Florida International University

  Co-Author: Mohammad hadi Amini – Florida International University

  Co-Author: Arturo S. Leon (he/him/his) – Florida International University
• 5:15 PM – 5:30 PM Alaska Daylight Time (AKDT)

  LID Optimization for Flood Mitigation in Urban Drainage Systems Considering Phasing of Construction, Climate Change Scenarios and Using Machine Learning
  

  Author: Enrico F. Creaco – University of Pavia

  Co-Author (not attending): Arianna Dada – University of Brescia

  Co-Author (not attending): Giovanna Grossi – University of Brescia

  Co-Author (not attending): Sara Todeschini – University of Pavia
• 5:30 PM – 5:45 PM Alaska Daylight Time (AKDT)

  Utilizing Extensive Monitoring Data to Evaluate Green Stormwater Infrastructure Performance
  

  Author: Musfiqur Rahman – Villanova University

  Co-Author: Virginia Smith, Ph.D., A.M.ASCE – Villanova University

  Co-Author: Bridget Wadzuk – Villanova University

  Co-Author: Xun Jiao, PhD – Villanova University

  Co-Author: Peleg Kremer – Villanova University

  Co-Author: Achira Amur – Villanova University
• 5:45 PM – 6:00 PM Alaska Daylight Time (AKDT)

  Developing Machine Learning-Based Surrogate Models for Accurate and Efficient Prediction of Lag Time in Urban Sewer Systems
  

  Author: Shihao Xi – University of Delaware

  Co-Author: Yao Hu, PhD (he/him/his) – University of Delaware