This year, we have 71 project groups spread across a variety of topics.
The showcase is divided into two blocks based on topics, 11AM-12:30PM and 1-2:30PM.
The showcase will operate as a poster session, where attendees can approach the projects that interest you and ask their teams questions.
Below, you'll find the posters, websites, reports, and code repositories for all projects.
Jump to:
Block 1 (11-12:30PM) •
Block 2 (1-2:30PM)
Block 1 (11AM-12:30PM)
Medicine and Bioinformatics 💊
A01-1 Improving Performance of Vision Encoding LLMs with Contextual Prompts
Muchan Li, Luke Taylor, and Raymond Song (Mentor: Albert Hsiao)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A01-2 Application of Large Language Models to the Evaluation of an Automated System for Chest Radiograph Interpretation
Aishani Mohapatra, Eudora Fong, and Sally Yu (Mentor: Albert Hsiao)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A02-1 Genetic Correlations in Aging-Related Diseases: Colocalization and Enrichment Analysis
John Driscoll, Tyler Ngo, and Ethan Lee (Mentor: Tiffany Amariuta)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A02-2 Dissecting Heritability and Causal Variants in Cancer Genomics
Anton Beliakov, Lihao Liu, and Gurman Dhaliwal (Mentor: Tiffany Amariuta)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A03-1 MedDash - Decoding Health Metrics to Enhance Patient Care
Shrishti Seksaria, Teresa Lee, Zhilin Guo, and Bryan Talavera (Mentor: Benjamin Smarr)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A03-2 MedDash - Decoding Health Metrics to Enhance Patient Care
Hede Yang, Wenhua Tang, Eric Park, and Yuchu Yan (Mentor: Benjamin Smarr)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A04-1 Clearer Views For Cancer Research: Upgrading Chromosome Analysis
William Trang, Niharika Malhotra, and Sophia Lugo (Mentor: Vineet Bafna)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A05-1 Sepsis Insight and Management Platform (SIMPL)
Jiyeon Song, Vibha Sastry, Oakkar Aung, and Rihana Mohamed (Mentor: Kyle Shannon)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A05-2 Early Detection of Sepsis for ICU Patients utilizing LSTM Neural Network
Diego Zavalza, Asif Mahdin, Zhuji Zhang, and Colin Tran (Mentor: Kyle Shannon)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A06-1 AMPs: A New Lens to Understanding the Tiny World of Microbes
Erik Pak, Jared Dishman, Jiyong Kim, and Kishan Pansuria (Mentor: Rob Knight)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A06-2 Utilizing Deep Learning to Uncover Antimicrobial Peptides and Investigating their Associations with Diverse Diseases
Jonathan Dong, Samuel Chu, Yiming Hao, and Brianda Plascencia (Mentor: Rob Knight)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A07-1 Hierarchical Latent Variable Models for Neural Data Analysis
Sha Lei, Courtney Cheung, Shuyu Wang, and Yutian Shi (Mentor: Mikio Aoi)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A08-1 Optimizing Facial Expression Recognition Tasks for Children Utilizing CNN Architectures
Anthony Li, Arjun Malleswaran, and Hovhannes Broyan (Mentor: Tauhidur Rahman)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A08-2 Facial Expression Recognition: Predicting Early Signs of Psychopathological Disease Among Children
Anthony Dang, Chaninder Rishi, and Varun Dinesh (Mentor: Tauhidur Rahman)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A09-1 Human Brain Connectivity using Resting State fMRI Data: Classification of Sex with Graph Neural Networks
Andrew Cheng, Terho Koivisto, Daniel Zhang, and Daphne Fabella (Mentor: Armin Schwartzman)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
Causal Inference and Fairness 🤝
A10-1 Diversifying the Global Music Industry through Debiasing Recommender Systems
Natalie Wu, Shivani Suthar, Samantha Horio, and Joshua Brusewitz (Mentor: Emily Ramond from Deloitte)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A10-2 BAGS - Bias Aware GridsearchCV
Anika Garg, Jayson Leach, Stephanie Chavez, and Benjamin Chen (Mentor: Emily Ramond from Deloitte)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A10-3 Mitigating Director Gender Bias in Movie Recommender Systems
Michael Garcia-Perez and Christine Deng (Mentor: Emily Ramond from Deloitte)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A11-1 Advancing Structure Learning Methods for Time Series Data
Valen Potloff and Tyler Gibbs (Mentors: Biwei Huang and Babak Salimi)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A11-2 Causal Inference in Recommender System: Manipulating Popularity Bias
Yihan Xue, Jiawei Wang, and Ziling Gong (Mentors: Biwei Huang and Babak Salimi)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A11-3 Causal Analysis of Instantaneous and Time-Delayed Relations in the Earth System
Arnav Khanna, Nithilan Muruganandham, Keenan Hom, and Dean Carrion (Mentors: Biwei Huang and Babak Salimi)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A14-1 Auditing Sentiment Analysis Algorithms for Bias
Flynn Osullivan, Jonathan Lo, and Elsie Wang (Mentor: Stuart Geiger)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
Distributed Systems and Other Applications ⚙
A15-1 Boosting Credit-bility: Improving Predictive Performance of Credit Default With XGBoost
Emily Chin, Riya Mhatre, Zaki Ahmed, and Zhen Fang (Mentor: Rod Albuyeh)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A15-2 Efficient Credit Risk Modeling: Enhancing Scalability and Performance
Zafeer Syed and Terin Ambat (Mentor: Rod Albuyeh)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A16-1 EthStates: Decentralized Real Estate Transactions
Ho Kiu Lee, Yin Lai, Viraj Lohia, and Eddie Ho (Mentor: Rajesh Gupta)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A17-1 Predictive Modeling for Perovskite Film Durability
Aryan Johari, Chi Wong, Lucas Papaioannou, and Jacob Kell (Mentor: David Fenning)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A18-1 Cryptocurrency: User-Friendly Micropayment Channels
Priscilla Hui, Medha Upadhyay, Minh Luc, and Isa Vidanes (Mentor: Sheffield Nolan from Franklin Templeton)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
A18-2 Simplifying Current Decentralized Micropayment Channels
Jing Lin, Stanley Park, Ruoyu Hou, and Zhekai Wang (Mentor: Sheffield Nolan from Franklin Templeton)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
Language Models 🗣
B14-1 Predicting Political Affiliations of Social Media Users
Yixuan Zhang and Haoyu Fu (Mentor: Haojian Jin)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B14-2 Developing Political Personas Through Generative Language Modeling
Anna Liu, Sruthi Papanasa, Tonoya Ahmed, and Vivian Lin (Mentor: Haojian Jin)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B15-1 WhatNext? - An AI-Powered Location Recommendation Application
Eugene Kim, Chenyang Dong, and Wenzhou Lyu (Mentor: Jingbo Shang)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B15-2 EDH-LLM: Using NLP techniques to build card game decks
Evelyn Yee, Theodore Hui, and Linus Lin (Mentor: Jingbo Shang)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B16-1 Diffusion Model Learning Package
Yunhao Li and Jieqi Liu (Mentor: Zhiting Hu)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B16-2 Leveraging RAG for enhancing AI Interactions in Generative Agents
Siyu Chen, Jinxin Xiao, Celine Zhao, and Yexiaolu He (Mentor: Zhiting Hu)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B17-1 Optimizing LLaVA: Measuring Mistral Against LLaMA for Visual Instruction Tuning
Albert Miao, Ge Gao, and Aritra Das (Mentor: Hao Zhang)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B17-2 SON: Enhancing Prompt Understanding of Diffusion Models with Large Language Models Guided Layouts
Weiyue Li, Xiaoyue Wang, and Yi Li (Mentor: Hao Zhang)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B18-1 Applications of Machine Learning for Creditworthiness in the Financial Industry
Michael Chen, Yifan Li, Aneesh Navanale, and William Xia (Mentors: Brian Duke and Berk Ustun from Prism Data)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B18-2 Credit Score Alternative: Scoring Risk of Default using Bank Transaction Data
Kuangyu Zou, Jessica Guzman, Haicheng Xu, and Xuewen Yang (Mentors: Brian Duke and Berk Ustun from Prism Data)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B18-3 Assessing Probability of Consumer Default based on Historical Banking Transactions
Sheng Zhou, Lakshmikethan Bethamcharla, Darren Jiang, and Victor Thai (Mentors: Brian Duke and Berk Ustun from Prism Data)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
Block 2 (1-2:30PM)
Graphs and Deep Learning 🧠
B01-1 SNIP: Machine Unlearning through Selective Neuron-wise Interpretable Pruning
Yongce Li (Mentor: Lily Weng)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B01-2 CLIP Dissect - Automatic Evaluation
Hou Wan (Mentor: Lily Weng)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B01-3 Enhancing Emotion Recognition in AI: A CLIP-Dissect Approach
Hieu Luu, Joon Cha, Sungjin Choi, and Jasmine Lo (Mentor: Lily Weng)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B02-1 Labeling Spectrogram of Audio Data to Detect Changes in Bird Behavior
Guantong Zhang, Jaeda Gantulga, Matthew Swida, and Jenny Song (Mentor: Yoav Freund)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B03-1 Emulating The Effects of Climate Change with Deep Learning
Jun Zhang, Keith Kwong, and Jack Lim (Mentor: Duncan Watson-Parris)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B03-2 How Emissions Will Impact Wildfire Risk
Benjamin Xue, Nathaniel Brodie, and Kai Morita (Mentor: Duncan Watson-Parris)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B04-1 Semantic UCSD Course Search
Misa Franknedy and Tony Ta (Mentor: Colin Jemmott)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B04-2 Capstonian: An HDSI Capstone Search Gallery
Mandy Xu and William Hu (Mentor: Colin Jemmott)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B04-3 Enhancing Historical Understanding with Retrieval Augmented Generation
Saachi Shenoy and Srianusha Nandula (Mentor: Colin Jemmott)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B04-4 PicToPlate: From Ingredients to Recipes with Retrieval Augmented Generation
Jiarui Xu and Megan Huynh (Mentor: Colin Jemmott)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B05-1 Diffusion-Driven Shakespeare: Diffusion Models for Conditional Text Generation
Joseph Samuel, Xian Kong, and Alexander Jensen (Mentor: Arya Mazumdar)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B06-1 Hardware Acceleration of Machine Learning
Lian Gan, Louie Cai, Christian Dermanuelian, and Jeffery Lai (Mentor: Rajesh Gupta)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B07-1 Congestion Prediction in Integrated Circuit Design Using Graph Neural Network
Vivian Chen, Yuyang Pang, Hang Liu, and Michelle Tong (Mentor: Lindsey Kostas from Qualcomm)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B07-2 Walking Cluster-GCN
James Bentley, Tommy Shen, Spencer Wueste, and Srujan Gutta (Mentor: Lindsey Kostas from Qualcomm)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B07-3 Netlist Congestion Prediction With Graph Attention Network
Brian Chen and Lisa Hwang (Mentor: Lindsey Kostas from Qualcomm)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B08-1 Enhancing Utility Pole Monitoring with Computer Vision
Jonathan Cheung, Kevin Bui, Sunwoo Kim, and Derek Wen (Mentor: Phi Nguyen from SDG&E)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B08-2 CERA: A Community-Driven Platform for Enhancing Utility Safety
Tram Nguyen, Mateo Ignacio, Brandon Luong, and Kelly Park (Mentor: Phi Nguyen from SDG&E)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B08-3 GRID: Geographic Reconnaissance for Infrastructure Detection
Noel Molina, Lauren Tran, Joshua Chuang, and Alexander Denny (Mentor: Phi Nguyen from SDG&E)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B09-1 Evidence-Augmented LLMs for Misinformation Detection
Zhixing Jiang, Jun Linwu, Oren Ciolli, and Yiling Cao (Mentor: Ali Arsanjani from Google)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B09-2 Using Predictive and Generative AI to Detect Truthfulness in News Articles
Lohit Geddam, Henry Luu, Nicholas Shor, and Irisa Jin (Mentor: Ali Arsanjani from Google)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B10-1 San Diego Trip Destination Prediction
Minjin Li, Emily Chen, and Ryan Liao (Mentors: Liang Tian and Cindy Burke from SANDAG)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B10-2 Identifying Activity Centers in the San Diego Region
Kelvin Nguyen, Kelly Luu, Manav Dixit, and Mike Smith (Mentors: Liang Tian and Cindy Burke from SANDAG)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B10-3 Forecasting Regional Aggregate Establishment Birth-Death Values: Using Algorithmic Modeling
Mariana Montoya, Maximilian Wei, and Michael Lue (Mentors: Liang Tian and Cindy Burke from SANDAG)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B11-1 From Pixels to Pictures: Understanding Internal Representations in Latent Diffusion Models
Ester Tsai, Zelong Wang, Atharva Kulkarni, and Karina Chen (Mentors: Alex Cloninger and Rayan Saab)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B11-2 Beyond Text-to-Image: Layout-Grounded Stable Diffusion Optimization for Accurate Image Generation
Jessica Song, Zhengyun Nie, Wanting Mao, and Jiatu Li (Mentors: Alex Cloninger and Rayan Saab)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B12-1 Exploring Complex Graph Representations of Highway Networks for Traffic Speed Prediction
Ricky Miura, Gita Anand, and Sheena Patel (Mentors: Gal Mishne and Yusu Wang)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B12-2 Detecting Fraud With Oversampling Techniques and Sparsity Contraints
Yandong Xiang, Prabina Pokharel, and Jingyu Zhang (Mentors: Gal Mishne and Yusu Wang)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B12-3 FlyKD: Graph Knowledge Distillation on the Fly with Curriculum Learning
Omar Almaymouni, Mishari Almusallam, and Eugene Ku (Mentors: Gal Mishne and Yusu Wang)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B12-4 Graph Neural Networks for Enhancing Sentiment Analysis
Yunfan Long, Yujia Wang, and Yuxin Guo (Mentors: Gal Mishne and Yusu Wang)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B13-1 Enhancing NanoGPT via Squentropy Loss and Hyperparameter Tuning
Sujen Kancherla, Sujay Talanki, Rehan Ali, and Akshat Muir (Mentors: Misha Belkin and Yian Ma)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B13-2 Feature Learning in Soft Decision Trees
Carlos Monterosa, Abel Seyoum, and Ethan Shapiro (Mentors: Misha Belkin and Yian Ma)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻
B13-3 Initializing with Underlying Mechanisms of Deep Convolutional Neural Network
Daniel Shi, Licheng Hu, Tiffany Yu, Keyu Long, and Grace Lam (Mentors: Misha Belkin and Yian Ma)
Poster 🪧 • Website 🌐 • Report 📖 • Code 💻