Projects

AI

Undergraduate Research - Fine-tuning

|Fine-tuning|LLM| (in progress) A project using fine-tuning to investigate and improve the truthfulness of chat gpt-turbo 3.5

LLM for the Contemporary History of Iran

|RAG|LLM| (in progress) This project integrates current political and historical data into an interactive AI model, greatly improving access to information on Iran’s contemporary history.

Cyberphysical Systems

Carla PID Controller

|PID|Carla|Autonomous Driving|
See project on GitHub

Created a proportional-integral-derivative controller for car throttle and brake control. Using object detection sensors alone I was able to create a system which navigates in heavy traffic without collisions.

A state transition diagram of the system.

We see the final result of speed over time, with minimal overshoot or oscillation.

Statistical Analysis

NBA CrowdFactor Statistic

|Logistic Regression|Data Wrangling|
See project on GitHub

Developed a novel statistic to represent team confidence. This work was done to fulfill a final project requirement for a gradute-level statistics course.

CrowdFactor statistic is created by applying a logit function to the stadium fill percentage, and then reflected about 0.5 for away teams.

CrowdFactor was shown to predict the result of a game better than random.

Detroit Crime Heatmap

|Graphical Statistics|
See project on GitHub

Created this heatmap in R to visualize crime in Detroit over the last 100 years.

Heatmap uses Stamen Map and this open data.

Semantic Networks

My interest in AI began with the concept of semantic networks, an idea I learned from Douglas Hofstadter’s GEB. Since then I have been interested in representing and manipulating knowledge in graph/hypergraph based structures.

Below is one such abstract structure.