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

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

Study of the movement of the microalga Chlorococum sp.

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.

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.

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).

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

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

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

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