An open-source Raspberry-Pi based photobioreactor for cultivating and assessing physiology (photosynthesis & productivity) in microscopic algae.

An open-source Arduino based chlorophyll fluorometer for quantifying photosynthesis in photosynthetic organisms.

Arduino code for pH, temperature monitoring, data logger, turbiostat, control LED for mimicking sun pattern. Python script for the simulation of microalgae growth with real solar profiles.

Control Scripts for Photon Systems Instruments (PSI) Bioreactor Client

Microalgal growth simulation for CO₂ capture estimation. Monod kinetics, Steele photoinhibition, and CTMI temperature modeling for Chlorella vulgaris under Surat, India's tropical climate.

A small android application project listing commonly used microbiology culture media.

Code and resources for LMFM-12 microalgae image classification, comparing seven CNN architectures and evaluating transfer learning performance

An open research initiative developing hybrid AI models (PINN, LSTM) to predict dissolved CO₂ from pH, O₂, and temperature data—validated against lab methods.

Train, validate and evaluate (SHAP) Convolutional neural network (CNN) and Gradient boosting decision tree (XGBoost) models to classify 4 cell cycle classes of Haematococcus lacustris (microalgae).

IoT-based portable photobioreactor monitoring system for distributed urban microalgae cultivation — Bangkit Academy capstone project integrating OD sensor data, growth tracking, and carbon capture estimation

Interactive study on lipid and fatty acid modulation in Nannochloropsis under salinity and nitrogen stress for biofuel applications.

Full-stack monitoring and control system for photobioreactor facilities — real-time MQTT sensor ingestion, Prophet-based anomaly detection, and Recurrent-LSTM with PPO reinforcement learning control recommendations.

Motor de IA preditiva para estimativa de crescimento de biomassa em tanques de cultivo de microalgas. Recebe dados de sensores IoT (pH, temperatura, turbidez, luminosidade e radiação PAR) e retorna previsão de biomassa em g/L, data estimada de colheita e confiança do modelo via API REST. Desenvolvido com Python 3.11, FastAPI e Random Forest (scikit

This pipeline could help microalgae scientists to calibrate the OD 680 curve to evaluate algae growth and its association with a potential axenic method using a penicillin-streptomycin hybrid antibiotic.

A modular package for numerical simulations of sea ice processes including heat-tracer transport and microalgal growth.

Research code for LA4SR protein-language modeling in microalgae (Patterns, 2025).

4th-year chemical engineering design project. This code simulates microalgae growth for the purposes of cultivating it for biodiesel applications.

AlgaeOS, a full-stack PBR OS control-simulation automation framework

Study of the movement of the microalga Chlorococum sp.

Dispositivo IoT com ESP32/Wokwi para monitoramento de biofotorreator de microalgas no projeto Phycocarbon, com sensores simulados de pH, temperatura, luminosidade e turbidez, envio de telemetria via MQTT, alertas operacionais e acionamento automático de servo para colheita.