K-NetZero Compass
A deployable decision-support demo for net-zero planning. Built to be transparent, auditable, and extendable (future LCA/TEA hooks and uncertainty-aware comparisons). (Free tier may sleep/wake.)
Applied Research · Monitoring · Resilience
Operational AI for resilient water & low-carbon infrastructure.
I build law-constrained, deployment-ready models for wastewater treatment plants: forecasting, anomaly detection, and climate-stress resilience — bridging process engineering, microbial systems, and Scientific Machine Learning.
Counterintuitive principles
- Auditability beats hero metrics: decision-ready evidence over peak numbers.
- Constraints are a feature: daily lab sampling becomes a modeling advantage, not a weakness.
- Deployment is part of research: if it can’t run reliably, it doesn’t count.
Forecasting (multi-horizon)
Anomaly & fault detection
Resilience metrics (4R/CRPS)
Process-informed features
Uncertainty & robustness
Digital twin thinking (audit-ready)
About
My work sits between hard-core process engineering and reliable AI. I build models that respect physical/biological constraints, remain robust under plant realities (daily sampling, sensor drift, wet-weather shocks), and translate predictions into decision-relevant signals.
Name
Alireza Mahvelati Shamsabadi
ORCID
Scholar
Email
Research identity
Operational SciML for resilient water infrastructure: forecasting + anomaly detection + resilience metrics, grounded in process memory, kinetics, and climate-regime shifts. In parallel, I contribute to sustainable carbon management (CCUS/ICCU).
Activated sludge · nitrification/denitrification
Regime-aware modeling
Leakage-safe evaluation
Uncertainty / OOD detection
Environmental genomics (interest)
Focus
What I build (research-grade, deployment-aware)WWTP process intelligence
Operational forecasting, anomaly detection, and decision-ready monitoring across multi-contaminant signals and operational states.
Resilience under climate stress
Regime-aware evaluation for wet-weather shocks, heatwaves, drought/low-flow, and recovery dynamics with interpretable metrics.
Low-carbon systems & CCUS/ICCU
Integrated capture–conversion thinking, audit-ready TEA/LCA hooks, and experimental sorbent work aimed at realistic conditions.
Demos
Deployed prototypes (decision-ready, not slideware)Next demos (in build)
A set of small, deployable prototypes: anomaly monitoring dashboards, resilience scoring (4R/CRPS), and carbon-accounting workflows designed for reproducibility and real adoption.
Projects
Filter by category (apps · AI · process · CCUS)Operational SciML for WWTP water-quality resilience under climate stress
Multi-contaminant forecasting and anomaly detection for real plant conditions: daily sampling constraints, wet-weather shocks, regime shifts, and sensor drift. Outputs are decision-ready (risk-of-violation, early warnings, recovery metrics).
Pathway-aware monitoring: linking process states to microbial function signals
A framework to connect operational trajectories (DO/ORP, loading, salinity, temperature, wet-weather memory) to microbial pathway indicators (nitrification/denitrification/Anammox proxies), designed to integrate metagenomic/16S features as “biological sensors.”
AD/biogas process intelligence for stability, VFA risk, and energy recovery
Predictive monitoring for AD stability (VFA/alkalinity/pH dynamics), early warnings for upsets, and controllable levers for energy-positive operation. Built to be compatible with lab-scale reactor datasets and biotech workflows.
Integrated CO₂ capture–conversion (ICCU): review + experimental sorbent work
Published review on sustainable CO₂ capture, conversion, and integrated strategies. Experimental work in preparation on nanoparticle-augmented diatom biosilica sorbents: humidity/temperature robustness and recyclability across cycles.
K-NetZero Compass (deployed demo)
A deployed prototype for net-zero decision support. Designed as a foundation for uncertainty-aware comparisons and audit-ready reporting.
4R/CRPS resilience scoring dashboard (prototype)
A decision layer that converts predictions into operational resilience: time-in-safe, headroom, recovery, and actionable intervention signals—built to remain interpretable under stress regimes.
Publications
Verified identifiers preferred (DOI/ORCID)From Emissions to Assets: Sustainable Technologies for CO₂ Capture, Conversion, and Integrated Strategies
International Journal of Molecular Sciences (2026). DOI: 10.3390/ijms27020847
Nanoparticle-Augmented Diatom Biosilica as a Sustainable Sorbent for CO₂ Capture (in preparation)
Baseline performance, humidity/temperature effects, concentration dependence, and recyclability across cycles.
Contact
Short and direct
Email: [email protected]
ORCID: 0009-0003-0412-3112
Note: For supervisors, a minimal page wins: affiliation, 2–4 strongest projects, and DOI-backed publications.