Iran (ACECR) × Russia (RSF–INSF) · 2027–2029
Predict, monitor, and contain harmful algal blooms before they reach the tap.
HAB-PAS is a trilingual scientific platform for monitoring, predicting and managing toxic algal blooms — fusing in-situ sensors, satellite indices and machine-learning models against WHO advisory thresholds.
Water bodies
11
6 IR · 5 RU
Cyanobacteria taxa
5
5 toxigenic
Predictions
6
AUC 0.997
Active alerts
3
Needs attention
Four operational modules
From raw sensor signal to advisory action
Each module is wired to the same database, the same RBAC roles, and the same multilingual i18n shell — so a researcher in Tehran and a lab technician in Saint Petersburg work on identical artefacts.
Prediction GIS
MapLibre + Sentinel-2 NDCI overlays, trophic-state colouring, sampling-site drilldown.
Genetic Resource Bank
16S rRNA, ITS, mcyE / sxtA / cyrJ markers; pg_trgm fuzzy search; FASTA download.
Lab Data Entry
ELISA, HPLC, LC-MS/MS, qPCR and bioassay results — Pydantic + Zod validated, alerts wired in.
AI Predictions
XGBoost via ONNX Runtime, TreeSHAP explainability, per-prediction audit trail.
For the demo reviewer
One click, four roles, full pipeline.
Pick a demo account (admin · researcher · lab_tech · viewer) and the dashboard adapts. Submit a lab sample over 12 µg/L microcystin-LR to watch the advisory engine fire.
About this platform
Operated by the Center for Research and AI Advancement, ACECR
This platform was designed, developed and operated by the Center for Research and AI Advancement at ACECR (Academic Center for Education, Culture and Research). It implements the locked architecture of the HAB-PAS scientific specification: a trilingual (Persian / English / Russian) full-stack system that fuses in-situ sensors, satellite indices and machine-learning models against WHO advisory thresholds to issue early warnings for harmful algal blooms across Iranian and Russian water bodies.
- Mission
- Provide early-warning prediction, advisory decision support, and scientific monitoring for harmful algal blooms — protecting drinking-water supply, recreational waters, and aquaculture across Iran and Russia.
- Programme leadership
- Principal Investigator — Dr. Maryam Ameri
ACECR (Iran) × RSF-INSF (Russia) — 2027 to 2029 - Rights
- All material and intellectual property rights to this platform belong to the Center for Research and AI Advancement, ACECR. Any reproduction, redistribution or exploitation without prior written consent is prohibited and subject to legal action.
English · LTR · Gregorian calendar