A5059725005- Urban Stormwater Management Solutions
- Water Quality Monitoring Technologies
- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Water Systems and Optimization
- Environmental Monitoring and Data Management
- Underwater Vehicles and Communication Systems
- Air Quality Monitoring and Forecasting
- Flow Measurement and Analysis
- Machine Learning and Algorithms
- Energy Efficient Wireless Sensor Networks
- Blind Source Separation Techniques
- Urban, Neighborhood, and Segregation Studies
- Aerospace Engineering and Energy Systems
- Environmental DNA in Biodiversity Studies
- Space Science and Extraterrestrial Life
- Environmental and Social Impact Assessments
- Advanced Database Systems and Queries
- Planetary Science and Exploration
- Cardiovascular and Diving-Related Complications
- Radio Wave Propagation Studies
- Target Tracking and Data Fusion in Sensor Networks
- Distributed Sensor Networks and Detection Algorithms
- Power Line Communications and Noise
- Atmospheric chemistry and aerosols
University of Toronto
2025
Community College of Philadelphia
2023
University of Michigan
2015-2021
Loyola Marymount University
2021
Ann Arbor Center for Independent Living
2016-2018
Michigan United
2016
University of Massachusetts Boston
2016
City University of New York
2014
Defense Information Systems Agency
2002
Existing stormwater systems require significant investments to meet challenges imposed by climate change, rapid urbanization, and evolving regulations. There is an unprecedented opportunity improve urban water quality equipping with low-cost sensors controllers. This will transform their operation from static adaptive, permitting them be instantly "redesigned" respond individual storms land uses.
Leveraging recent advances in technologies surrounding the <italic>Internet of Things</italic>, “smart” water systems are poised to transform resources management by enabling ubiquitous real-time sensing and control.
Abstract The real‐time control of urban watersheds is now being enabled by a new generation “smart” and connected technologies. By retrofitting stormwater systems with sensors valves, it becomes possible to adapt entire dynamically individual storms. A catchment‐scale algorithm introduced, which abstracts an watershed as linear integrator delay dynamical system, parameterizes using physical characteristics, then controls network flows Linear Quadratic Regulator . approach simulated on 4‐km 2...
Smart stormwater systems will transform cities into coordinated and real-time controlled treatment plants.
Data digitisation of scientific literature is essential to expedite the creation machine-learnable knowledge bases for data-driven research and integration with knowledge-intensive systems like self-driving laboratories. However, automating extraction, interpretation, structuring data from information-rich graphical elements within prevalent PDF format remains a significant challenge. We present MERMaid (Multimodal aid Reaction Mining), an end-to-end ingestion pipeline automatically convert...
“Smart” water systems are transforming the field of stormwater management by enabling real-time monitoring and control previously static infrastructure. While localized benefits active well-established, potential for system-scale watersheds is poorly understood. This study shows how a real-world smart system can be leveraged to shape streamflow within an urban watershed. Specifically, we coordinate releases from two internet-controlled basins achieve desired objectives downstream—such as...
Abstract. The distribution and dynamics of atmospheric pollutants are spatiotemporally heterogeneous due to variability in emissions, transport, chemistry, deposition. To understand these processes at high spatiotemporal resolution their implications for air quality personal exposure, we present custom, low-cost monitors that measure concentrations contaminants relevant human health climate, including gases (e.g., O3, NO, NO2, CO, CO2, CH4, SO2) size-resolved (0.3–10 µm) particulate matter....
Abstract An approach to adaptively measure runoff water quality dynamics is introduced, focusing specifically on characterizing the timing and magnitude of urban pollutographs. Rather than relying a static schedule or flow‐weighted sampling, which can miss important if parameterized inadequately, novel Internet‐enabled sensor nodes are used autonomously adapt their measurement frequency real‐time weather forecasts hydrologic conditions. This dynamic has potential significantly improve use...
Adaptive sampling theory has shown that, with proper assumptions on the signal class, algorithms exist to reconstruct a in $\mathbb {R}^d$ an optimal number of samples. We generalize this problem case spatial signals, where cost is function both samples taken and distance traveled during estimation. This motivated by our work studying regions low oxygen concentration Great Lakes. show that for one-dimensional threshold classifiers, tradeoff between can be achieved using generalization binary...
Increases in urbanization and climate change are forcing urban drainage engineers to more effectively leverage stormwater storage facilities minimize flooding water quality impacts. This process becomes increasingly challenging due the operations of coordination across system-level watershed. study presents a real-time control simulation for assessing watershed-scale performance. The objective this work is make trade-off between mitigation at flooded nodes stress reduction ponds. An...
The goal of this project is to conduct the first geographically distributed, low-frequency skywave propagation measurements during a solar eclipse. There lack knowledge about how radio waves below frequencies 500 kHz are affected by total eclipse and experimental data reflecting these wave transmissions at diverse locations an A band receiver system for people across United States assemble use designed, allowing crowd-sourced collection relative signal strength WWVB Dixon station signals...