Welcome to the MGHPCC Virtual Booth

Northeastern University

Machine Learning and Wastewater

Leveraging machine learning to develop chemical anomaly sensors for wastewater collection networks.

The Northeastern Environmental Sensors Lab develops new sensors, instruments, and signal processing strategies to optimize our ability to study the natural and built environments. Our interdisciplinary team brings together engineers and scientists with different interests, perspectives, and expertise to tackle important challenges in science, remediation, energy, and manufacturing processes: characterizing nutrients in natural systems at high spatial and temporal frequency, enabling next-generation wastewater treatment strategies, facilitating online controls for distributed renewable energy systems, and real-time process outflow water quality monitoring. We are also looking at the spatial distribution of air pollutants and the connection of these patterns to the built environment, transportation modalities, green infrastructure, and other policy decisions.

In these projects we combine a deep understanding of environmental chemistry and collaborative process characterization with unique use of embedded systems, electronic and electrochemical sensors, wireless networking, signal processing, machine learning, and closed-loop controls.

https://www.northeastern.edu/envsensorslab/
Alfred P. Navato
Amy V. Mueller
Dr. Amy Mueller is an Assistant Professor at Northeastern University in the departments of Civil & Environmental Engineering and Marine & Environmental Sciences. Alfred Navato is a PhD Candidate in computer engineering.

Consortium

Featured projects

Expanding Computing Education Pathways (ECEP) Alliance
SC23 Project
Computational Molecular Ecology
SC23 Project
Harvard FASRC
The Mass Open Cloud Alliance (MOC Alliance)
OpenCilk
Next Generation Aircraft Collision Avoidance System ACAS X
ACCESS Support (MATCH)
Machine Learning and Wastewater
Research Software Engineering
Predicting Kinetic Solvent Effects
SC23 Project
Computing Social Capital
SC23 Project
OSN 1 - Accessing Storage
NASA Arctic-Boreal Vulnerability Experiment (ABoVE)
Deepfake Caricatures
Learning-Task Informed Abstractions
Measuring Nationwide Park Access
SC23 Project
A Future of Unmanned Aerial Vehicles
Software for Unreliable Quantum Computers
Color Changing Objects
The Center for Scientific Computing and Data Science Research (CSCDR)
SC23 Project
Neural Networks & Earthquakes
Modeling Molecular Dynamics for Drug Delivery
ElectroVoxels: Modular Self-reconfigurable Robots
LLSC Articles and Publications
FlyNet
SC23 Project
OSN 2 - Deploying Storage
SC23 Project
Remote Sensing of Earth Systems
Large-Scale Brain Mapping
Climate Health and Air Pollution in India
Lincoln Laboratory Supercomputing Center (LLSC)
SC23 Project
Cyber-Physical Communication Network Security
Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)
ConnectCI
SC23 Project
SC23 Student Cluster Competition
Lichtman Lab - Center for Brain Science
Aviation Weather Decision Support Laboratory Tour
Open Cloud Testbed (OCT)
Ask.CI
Billion Object Platform
SC23 Project
Campus Champions
Offshore Precipitation Capability (OPC) System
The UMass-URI Gravity Research Consortium (U2GRC)
Quantifying Risk, Resilience, and Uncertainty with Machine Learning and HPC
SC23 Project
NeuraChip
Predicting Reaction Barrier Heights
Wearable Health Technology
AI for HPC Analytics
Conclave Cloud Dataverse: Protected Computing in the Datacenter
SC23 Project
UMass - URI Unity Cluster
Black Hole Initiative
Refugee Migration and Return on Social Media
SC23 Project
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Invisible Tags
SC23 Project
SEQer - Sequence Evaluation in Realtime
Ecosystem for Research Networking (ERN)
AI for Dementia Assessment
SC23 Project
URI Center for Computational Research
AI Computing and the AI Jumpstart Cluster
SC23 Project
Genome Forecasting
SC23 Project
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
The Forensic Video Exploitation and Analysis (FOVEA) Tool Suite
Simulating Large Biomolecular Assemblies
Candidate Driver Analysis of Multi-omics Data (CaDrA)
SC23 Project
Energy Transport and Ultrafast Spectroscopy Lab
Knowledge Base
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