This project developed an external early warning system (EWS) for autonomous vehicles (AVs) to address the "right-hook problem" with cyclists. The system uses near-field ground projection to communicate AV intentions to cyclists. Key findings include that cyclists prefer visual signals for AV communication, and ground projections with simple icons are effective at conveying a vehicle's intent, leading to safer interactions.

This project aimed to design and create a relational database system for a dermatology clinic to efficiently book appointments and manage patient records. The goal was to automate the current manual scheduling process, address issues like double-booking and misplaced records, and provide real-time provider availability.

This project aimed to explore different clustering techniques to analyze and find patterns in patient data from the MIMIC-III dataset. It involved combining, cleaning, and preparing tables containing demographic features, lab test results, and vital signs before performing k-means and hierarchical clustering in Python.

This project analyzes physiological signals from subjects S9, S10, S11, and S13 using permutation entropy and complexity metrics. It explores data from chest and wrist sensors across various modalities (ACC, ECG, EMG, EDA, Temp, Resp, BVP) to understand different physiological states.

This project aims to map the intellectual structure and identify core themes and trends in generative AI research by analyzing publications from the Web of Science database. It utilizes a comprehensive literature retrieval approach, focusing on keyword co-occurrence networks derived from author keywords across various generative AI models, techniques, and applications.

This report focuses on identifying and addressing long customer waiting times at Pavement Coffeehouse to enhance customer satisfaction and boost business traffic and revenue. The project employed the DMAIC (Define, Measure, Analyze, Improve, Control) process to systematically analyze and reduce waiting times for both food and drink orders.

This report proposes an express train route for the Green Line in Boston, aiming to improve efficiency by bypassing less utilized stations between Northeastern and North Station. The project utilized data analysis and simulation modeling to identify optimal express stops and minimize overall travel time and passenger inconvenience

This project examines the correlation between CO2 emissions and several indicators—Human Development Index (HDI), geographical region, renewable energy output, and industrial growth—to predict a country's adherence to the Paris Agreement. A mathematical model, implemented in AMPL software and based on the Robust McNemar's test, was used to determine the predictive power of these indicators.

This report details the design and prototyping of an add-on for the Fanuc CR7iA/L robot suction gripper, enabling it to maneuver a sharpie to draw shapes on paper. The team utilized Fusion360 for CAD modeling and Octopuz for simulation before 3D printing and testing the prototype.

This project focuses on the design and implementation of a database system to track FIFA World Cup stickers. Its objective is to allow users to manage their sticker collections and identify which stickers are available for trading.