Masters first semester research

Masters course research

XRI-lab, Kennesaw State University

Duties/works

• Research: Cybersickness prediction with health data (HR, EDA, Head and Eye movement)
• Developed model using RNN, GRU, LSTM, CNN-LSTM, Attention-LSTM, Transformer, DeepTCN
• Deployed DNN models to Snapdragon chipset with UNITY SDK in Meta Quest 3
• Worked with Hp Omnicept Reverb G2, VR Headsets, Emotibit, ESP32, Virtual-Reality, Mixed-Reality

Chowagiken

Duties/works

• Developed Car Image Segmentation model using Yolov6- In Web application deployed that model, used Flask for API. For production, used Docker to dockerize the whole application, deployed on the client’s GCP computing server and also used GitHub Action for CI/CD.
• Developed Image Anomaly detection application- In this project, classified defected potatoes using Pathcore and Padim, for auto segmenting used DINO and SAM. Made Industry graded documentation for client
• Learned punctuality, maintaining delivery deadline, and politeness in Japanese working culture
• Fined tuned Yolov8, YoloX, RTMDet on several image dataset (weed dataset, mosquito feeding, fire detection)

Undergraduate Thesis and Project

Contribution: In this thesis water data was collected with sensors and sent to server and retrieved with android application. Water flow, volume, used volume, pH, turbity and flushing process was done.