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

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

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

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

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

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).

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

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

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 research work introduced various aspects from dataset preparation techniques to image pre-processing, model comparison, and performance analysis on the detection & instance segmentation of three microalgae class namely Chlorella vulgaris FSP-E, Chlamydomonas reinhardtii, and Spirulina platensis.

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.