CV

Education

• B.S.E. in Civil and Environmental Engineering, University of Michigan, 2013
• M.S.E. in Environmental Engineering, University of Michigan, 2015
• Ph.D in Civil and Environmental Engineering, University of Iowa, 2023 (expected)

Awards

• 2022 - Social Justice Award, College of Engineering Research Day
• 2020 - Iowa Water Center Graduate Research Award
• 2020 - AGU Student Travel Grant
• 2020 - CGRER Graduate Student Travel Grant
• 2019 - Enhancing Ethical Context in the Engineering Curriculum (University of Iowa, internal)
• 2018 - LIFT Intelligent Water Systems Challenge, Grand Prize
• 2017 - GZA Shareholder’s Grant
• 2013 - Wallenberg Fellowship, Finalist (University of Michigan, Internal)
• 2013 - Barger Leadership Institute Student Project Grant (University of Michigan, Internal)
• 2012 - Davis Projects For Peace Grant
• 2012 - Barger Leadership Institute Student Project Grant (University of Michigan, Internal)
• 2011 - Chevron Industry Scholarship

Publications

Open-Storm Detroit Dynamics: Real-time stormwater controls reduce combined sewer overflows and defer millions in capital investments

Gregory Ewing, Abhiram Mullapudi, Sara C. Troutman, Branko Kerkez, and Wendy Barrott; Open-Storm Detroit Dynamics: Real-time stormwater controls reduce combined sewer overflows and defer millions in capital investments; Water Environment & Technology, 31 (7); July 2019.

A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources

Muhammed Sit, Bekir Z. Demiray, Zhongrun Xiang, Gregory J. Ewing, Yusuf Sermet, Ibrahim Demir; A comprehensive review of deep learning applications in hydrology and water resources. Water Sci Technol 15 December 2020; 82 (12): 2635–2670. doi: https://doi.org/10.2166/wst.2020.369.

An Ethical Decision-Making Framework with Serious Gaming: Smart Water Case Study on Flooding

Gregory Ewing, Ibrahim Demir; An ethical decision-making framework with serious gaming: a smart water case study on flooding. Journal of Hydroinformatics 1 May 2021; 23 (3): 466–482. doi: https://doi.org/10.2166/hydro.2021.097

pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms

Rimer SP, Mullapudi A, Troutman SC, Ewing G, Bowes BD, Akin AA, Sadler J, Kertesz R, McDonnell B, Montestruque L, Hathaway J. pystorms: A simulation sandbox for the development and evaluation of stormwater control algorithms. arXiv preprint arXiv:2110.12289. 2021 Oct 23.

Interactive Hydrological Modelling and Simulation on Client-Side Web Systems: An Educational Case Study

Ewing, G., Manitlla, R., Krajewski, W., Demir, I.; Interactive Hydrological Modelling and Simulation on Client-Side Web Systems: An Educational Case Study. EarthArxiv preprint doi: https://doi.org/10.31223/X5NW6J.

Talks

Comparing Coupled Hydrosphere-Atmosphere Research Model (CHARM) Simulation of Great Lakes Water Temperature to the FVCOM Model Simulation and Experimental Data

May 29, 2014

Conference proceeding talk at McMaster University, Hamilton, Ontario, Canada

Contrasting Strategies of Tree Function in a Seasonal Amazon Rainforest

December 15, 2015

Conference proceedings talk at Fall Meeting AGU, San Francisco, CA

Open-Storm Detroit Dynamics, University-Utility Team

October 05, 2018

Competition finalist talk at 2018 Water Environment Federation, Technical Conference; IWS Lift Challenge Finalist Presentation, New Orleans, LA

Application of Real-Time Market-Based Control Algorithm Decreases Combined Sewer Overflows in Portion of Great Lakes Watershed

June 24, 2019

Conference proceedings talk at 2019 Michigan Water Environment Association Annual Conference, Boyne MI, USA

Water Ethics Web Engine; A Web-Based Ethical Decision-Making Framework

December 01, 2020

Conference proceedings poster at Fall Meeting AGU, San Francisco, CA

WebHLM: A Client-Side Web Environment for Hydrologic Modelling and Education

December 14, 2021

Conference proceedings poster at Fall Meeting AGU, New Orleans, LA

Applying Interaction Design to Improve Decision Support in Urban Watershed Management

June 21, 2022

Oral Presentation at AGU Frontiers in Hydrology, San Juan, Puerto Rico

Device-Agnostic Environmental Modelling Framework for the Web

June 21, 2022

Oral Presentation at AGU Frontiers in Hydrology, San Juan, Puerto Rico

A Client-Side Web Framework for Rainfall-Runoff Modelling in a Hybrid Learning Context

June 23, 2022

Oral Presentation at AGU Frontiers in Hydrology, San Juan, Puerto Rico

Teaching

Fluid Mechanics (CEE 325)

Introduction to Engineering (ENGR 100)

Beginners Portuguese

Work experience

• 2019 - Current: PhD Student, Hydroinformatics Lab at the University of Iowa

• 2017 - 2019: Research Assistant, Real-Time Water Systems Lab
  • Studied the application of control algorithms to assist in decision support during wet weather events within the Greater Detroit Regional Stormwater System for the purpose of reducing combined sewer overflows.
  • Produced a web-based decision support tool for stormwater operators which used algorithms studied.
• 2015 - 2017: Water Resources Engineer, GZA GeoEnvironmental
  • Staff Engineer in the Water Resources and Dams Engineering group
  • Completed hydrologic and hydraulic modeling for riverine flooding and dam reservoir capacity studies due to extreme precipitation events.
  • Other responsibilities included on-site project management for environmental remediation efforts and water budget studies for large industrial facilities.
• 2015: Dam Network Intern, Huron River Watershed Council
  • Built interactive webtool for operators of the dams on the mainstem of the Huron River.
  • Product increased intra-watershed, inter-institutional communication to foster system- and operations-scale resiliencies.
• 2014: Research Assistant, HYDROWIT
  • Primary field technician for the HYDROWIT research group on Green Ocean Amazon campaign in the Tapajos National Forest (FLONA Tapajos).
  • Deployed and maintained 40+ sapflow and other sensors on an intensive tropical forest research plot.
  • Developed novel method of sapwood area estimation given trunk diameter and wood density.
• 2012: Great Lakes Summer Fellow, NOAA Great Lakes Environmental Research Laboratory
  • Compared Coupled Hydrosphere-Atmosphere Regional Model (CHARM) to observed land and water surface temperatures from various sources.
  • Analyzed and characterized CHARM’s ability to reproduce statistically similar results to observed temperature recordings in both air temperature and water column temperature.

Skills and Languages

• Computers: Python, JavaScript, PHP, HTML, CSS, MATLAB
• Humans: English, Portuguese

Leadership and Service

• President, Students of IIHR
• Vice President, Juara Foundation