School of Engineering Department of Mechanical and Aerospace Engineering 187 Anti-Glaucoma Eye Mask Supervisor: LAM David Chuen Chun / MAE Student: Iqra BIBI / AE Course: UROP 2100, Fall This UROP project involved developing a device for retinal imaging. This is also known as fundus photography which is particularly used in diagnosis and treatments of Glaucoma. Glaucoma is a disease that damages the eye’s optic nerve and may lead to blindness. Through taking retinal imaging, the optic nerve and associated blood vessels can be investigated to diagnose and treat glaucoma. The aim of this project was to develop a fundus camera that can be accessibly used by people without the need for a doctor. Present day retinal imaging involves the need for a healthcare professional, and through the development of our prototype, we aim to mitigate this need. Throughout the course of UROP, we developed several prototypes and tested their results to find the optimum design. In the subsequent section, we will explain the different prototypes created. Application of Artificial Intelligence to Thermal Comfort Sensor App for New-Generation Smart HVAC Systems Supervisor: LEE Yi-Kuen / MAE Student: DAS Aditya Akash / MECH Course: UROP 1100, Fall This project aims to enhance the accessibility and accuracy of thermal comfort assessment by developing a smartphone-based PMV calculator app. The app uses open-source algorithms and manual user inputs to estimate PMV values, making it an affordable alternative to expensive professional-grade devices like the DeltaOHM HD32.3, which costs approximately 30,000 HKD. Key features include metabolic rate estimation using activity recognition based on smartphone sensors and a comparison of app-derived PMV results with those from the DeltaOHM device. This approach highlights the potential of low-cost tools to achieve comparable accuracy in thermal comfort evaluations, offering a viable solution for energy-efficient HVAC management in diverse environments such as HKUST classrooms and offices. Development of MEMS Mirrors for Low-Cost Lidar Used for Next-Generation Self-Driving Cars Supervisor: LEE Yi-Kuen / MAE Student: LOPEZ NG Enric / AE Course: UROP 1000, Summer A high-frequency PCB micromirror variant was designed for faster vehicle applications, building on a prior prototype. ANSYS simulated the new frequency, while Buckingham-Π theorem analysis identified key adjustable variables (e.g., torsional bar geometry) to boost frequency without compromising scan angle, cost, or voltage. Solidworks modeled the modified beam width/length, and ANSYS modal analysis confirmed the higher natural frequency. KiCAD designed the PCB layout. Results showed over 2× frequency increase while retaining original materials and voltage. Future improvements will also be discussed.
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