Lyca User

• Coordinated communication between laboratory assistants and supervisors to ensure effective information flow and alignment of laboratory activities.
• Supervised and coordinated laboratory assistants to ensure smooth execution of practicum sessions and daily laboratory operations.
• Assisted in organizing schedules, task distribution, and operational activities to maintain an efficient laborat

• Conducted research and development in image processing and computer vision for various applications.
• Studied, implemented, and evaluated image processing algorithms to address application-specific problems and requirements.
• Developed user interface designs using PyQt6 for computer vision and image processing applications.
• Integrated image processing functionalities into application interfa

• Automated Data Capture Application: Developed a Python-based application using PyQt6 and OpenCV to automate image acquisition for Infusion Device Analyzer (IDA) calibration, minimizing manual data retrieval and reducing unnecessary video storage.
• NIBP Signal Processing System: Developed an Arduino-based analog-to-digital signal processing system incorporating peak detection for NIBP simulator

• Supervised the Maintenance & Logistics team to ensure smooth laboratory operations and proper maintenance of laboratory facilities.
• Managed laboratory logistics, including equipment procurement, inventory, maintenance, and readiness.
• Coordinated with team members to ensure laboratory sessions and activities were properly prepared and conducted.
• Supported the operational planning and coordi

• Taught C programming and guided students through hands-on laboratory exercises.
• Assigned and supervised 2–3 week project-based programming assignments, from problem formulation and implementation to final presentation.
• Mentored students throughout project development by providing technical guidance, debugging support, and feedback.
• Evaluated project implementations and presentations based

• Learned and applied user interface (UI) design principles using PyQt6 for desktop application development.
• Developed a simple desktop application using PyQt6 as the primary UI framework.
• Developed a picture color customization application integrated with a PyQt6-based user interface, enabling users to interactively modify image colors.
• Learned and applied basic Git and GitHub workflows for

Final Project — Scoliosis Screening Using Anomaly Detection
Developed an image-based scoliosis screening system using posterior back images and a convolutional autoencoder-based anomaly detection approach. The model was trained primarily on normal images and used reconstruction error to identify potential anomalies. Implemented the pipeline using Python, OpenCV, and TensorFlow/Keras, with model ev