Industry Challenges We Help Solve

Applied environmental research focused on real-world industrial and municipal problems — from concept development to pilot-scale validation.

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Industrial Wastewater Treatment

Development of practical treatment strategies for complex industrial effluents, supporting compliance, efficiency, and sustainability.

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Emerging Contaminant Removal

Research-driven solutions targeting pharmaceuticals, organics, and challenging contaminants in water systems.

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Environmental Remediation

Technologies designed for soil and groundwater restoration, including field-tested treatment approaches.

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AI & Data-Driven Optimization

Machine-learning supported modeling and optimization for improved environmental system performance.

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Low-Energy Water Treatment

LED, visible-light, and photocatalytic approaches designed for effective, energy-efficient water treatment.

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Selected Industry & Applied Research Projects

Real-world environmental challenges addressed through sponsor-funded research, pilot testing, and field validation.

Laboratory pilot system for sulfolane treatment research
Industry Adoption

Sulfolane Contamination Treatment

Field-validated physicochemical and biological treatment technologies for sulfolane-impacted water and soils in industrial settings.

Outcome: Technologies have progressed to commercial use with industry partners.
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Wastewater sampling and monitoring equipment
Municipal Collaboration

Wastewater-Based COVID Monitoring

City-wide wastewater surveillance and data sharing to support early public-health insight and municipal decision-making.

Outcome: Wastewater signals provided early warning of community outbreaks.
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LED photocatalytic water-treatment reactor
Pilot Validation

LED Photocatalytic Treatment Systems

LED-based photocatalytic systems that advance low-energy treatment of emerging contaminants and support scalable environmental applications.

Outcome: Demonstrated an energy-efficient alternative to conventional treatment approaches.
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Environmental modelling and water-treatment system
Data-Driven Research

AI-Based Environmental Optimization

Adaptive modelling and optimization for improved treatment-system performance, environmental prediction, and decision-making.

Outcome: Decision-support methods improve responsiveness and operational insight.
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Applied Research With Real-World Impact

Projects move beyond theory — focusing on pilot validation, industry collaboration, and practical environmental outcomes.

Field-Tested Solutions
Industry Collaboration
Applied Environmental Impact
Pilot-Scale Validation