CS191 Independent Research Projects

Joshua Delgadillo - A fully client-side C++ IDE for CS1 using WebAssembly (Education, Systems)
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Devanshu Ladaria - A Generalizable Framework for Parallel Tree Construction on GPUs (Systems)
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William Li - ChETO: Generalizable Low-Resource NLU & Dialect Adaptation Framework for Chilean Spanish (NLP)
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Bala Vinaithirthan - Code Less, Align More: A Language for Accessible and Efficient Sequence Analysis Pipelines (Systems)
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Butch Nasser - Codifying Medicare Using Computable Contracts for Improved Understandings of Medical Insurance (Health)
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Aryan Gulati - Controllable LLM Debugging: Knowing when to Stop Matters (NLP)
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Julia Biswas - Mapping Emotion and Themes in Immigrant Narratives: A Computational Analysis of Oral Histories (History, AI)
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Alexander Shan - Osiris: A Lightweight Open-Source Hallucination Detection System (NLP)
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Jay Yu - PASS: A Provenanced Access Subaccount System for Blockchain Wallets (Systems)
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Jun Wang - Robust Planning for Autonomous Vehicles with Diffusion-Based Failure Samplers (Autonomous Driving)
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Pawan Wirawarn - Towards Automated Feedback on Instructional Routines: A Case Study on Detecting Notice and Wonder Routines in Math Classrooms (NLP)
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Cynthia Chen - Understanding and Correlating Quantitative and Qualitative Survey Clusters Using LLMs, Word2Vec, and Machine Learning (AI)
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Yangyi Shen - Zero-Shot Generalization of GNNs over Distinct Attribute Domains (ML)
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Sidra Nadeem - Cortex-Level Brain MRI Generation Using Diffusion Models (Health, ML)
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Junyi Ji - CTF Agents: An Analysis of Different Agent Scaffolds for Cybersecurity Tasks (Security)
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Luca Wheeler - Dynamic Affinity Mapping for Rigid and Non-Rigid Objects Using Sequential Counterfactual Flow Predictions (ML)
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Renner Lucena - Fine-Tuning a Brazilian Portuguese E-Commerce Agent for the Clothing Sector (E-Commerce, Clothing)
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Mantena Sriya - From Steps to Stages: A Behavioral Science and Large Language Model-Driven Approach to Personalized Physical Activity Interventions in the My Heart Counts Cardiovascular Health Study (Health)
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Sheryl Hsu - GROUNDING BY TRYING: LLMS WITH REINFORCEMENT LEARNING-ENHANCED RETRIEVAL (AI, ML)
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Parth Sarthi - High-Fidelity Text-to-Speech Through Low-Rate Acoustic Tokenization and Language Models (ML)
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Maximino DiGiacomo-Castillo - Labeling Financial Time Series with LLMs (Finance, Data)
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Shubhra Mishra - MATHCAMPS: FINE-GRAINED SYNTHESIS OF MATHEMATICAL PROBLEMS FROM HUMAN CURRICULA (Math, ML)
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Aksh Garg - Opportunities and Challenges in Legal AI (Legal, AI, ML)
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Joseph Tey - Precise, Controllable Style Transfer using Sparse Autoencoder Feature Interventions (AI)
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Daniel Musachio - Predicting Microbiome Dynamics: A Machine Learning Approach Using Longitudinal Gut Microbiome Data (Health, ML)
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Andrew Nordhagen - Reconstructing Whole-body Motion of Piano Performance in 3D (Music)
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Sage McGinley-Smith - Satellite Image Segmentation with U-Net Model and Sentinel-2 Data (Deep Learning)
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Chenchen Gu - Timing Attacks on Prompt Caching in Language Model APIs (AI, Security)
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Flora Huang - Understanding Asian Stereotyping and Bias in LLMs (AI, Ethics)
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Alan Zhang - Voice-Based Practice with AI Patients for Psychotherapy Training (Health, AI)
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