To browse Master's Projects by academic department or program, please go to the College, School or Department page.
Master's Projects from 2026
Adversarial Robustness in Time-Series Foundation Models via Causal Tracing and Rank-One Model Editing, Vaibhav Achar
Predicting Unstable Handovers in Dense Cellular Networks, Niyati Aggarwal
Communication-Efficient Pipeline Parallelism for On-policy Reinforcement Learning, Faiz Sameer Ahmed
Searching for Cause of Unexplained Protein Interaction with Multiple Assembly Methods, Gavin Anderson
MIXED BAYESIAN STACKELBERG SCHEDULER FOR MORPHENCE - A MOVING TARGET DEFENSE FOR VISION TRANSFORMERS, Rikhila Reddy Annem
Cross-Reflection Evaluator-Optimizer Feedback Retrieval-Augmented Generation (RAG) Framework, Udayan Atreya
Survival Risk Stratification in Oncology Using Integrated Temporal Event Sequences Over Synthetic Healthcare Data, Oskar Aria Attar
Memory Effects in Many-Body Systems, Jeffrey Beckstrand
Efficient Automated JSDoc Comment Generation Using Compressed Abstract Syntax, Kevin Benelli
Exploring Architectural Enhancements for YOLO Object Detection: Dual-Stream Attention, Size-Adaptive Assignment, and OOD Awareness, Ashwabh Bhatnagar
A Comparative Analysis of Malware Image Transformations Using Grad-CAM and Hybrid Machine Learning Models, Vibha Bhavikatti
Agentic AI for Cerebral Tumor Personalized Clinical Decision Support, Amey Bhide
Detection and Characterization of Cancer Using cfDNA Fragmentomic Analysis, Guneet Bhogal
When Agents Disagree: A Multi-Agent Debate Approach to Clinical Reasoning, Shreyas Bhoyar
BiLSTM-Based FoG Detection in Parkinson’s Disease: Evaluating Temporal, Frequency, and Biographical Features, GIOVANNI CANALES
Custom OS with embedded SNN Activity Suggester, Axel Castellanos-Morales
Secure and Resilient Federated Learning for Malware Classification, Chandrakanth Reddy Challa
WindCast-STARNet: A SpatioTemporal Advection-Routed Network for Solar Forecasting, Charita Challa
A Study of Privacy-Preserving Predictive Autoscaling in Cloud Environments, Alan Chuang
Stepwise Sudoku Reasoning Training using Transformers, Lok Man Chu
AV-AGENT-INSPIRED HYBRID MALWARE DETECTION WITH EXPLAINABLE ENSEMBLES AND LLM REASONING ON BODMAS, Prudhvi Sai Raj Dasari
Coral Vision: Semantic Segmentation Techniques to Identify Crustose Coralline Algae in West Maui, Hawai’i, Mayukh Das
Selective Fine Tuning for Large Language Models, Aditya Prashant Dawadikar
Quantitative Evaluation and Generation of FDA-Compliant Pharmaceutical Labels, Shreyas Satish Deore
JAVATUTOR: AN INTEGRATED LLM FRAMEWORK FOR STRUCTURED PROGRAMMING TUTORING AND PROBLEM-SOLVING IN JAVA, Amey Makarand Dhongade
Predicting Traffic Collision Injury Severity in San Jose, Benjamin Fong
LOOM-RAG: Layered Ontology-Orchestrated Multi-Signal Retrieval-Augmented Generation for Reducing Hallucinations in LLMs, Aldridge Fonseca
Context Engineering for Local Retrieval-Augmented Generation: Perturbation Robustness, Budgeted Evaluation, and Semantic Assessment, Rahul Reddy Gangapuram
SAFE-R2R: A Safety-Aware and Budget-Optimized Retrieval Controller for RAG Systems, Mandar Sunil Gondane
LLM-Powered Investment Advisor Assistant, Sushmitha Chikkanayakanahalli Gopala
Exploring Parents’ Perspective of Outdoor Occupational Therapy Sessions, Harold Ho, Michelle Huynh, Christina Le, and Amy Morrison
ScholarConnect: An AI-Powered Research Discovery Platform for Graduate Students, Abhi Jain
Vision-Augmented Proactive Bandwidth Allocation via Deep Reinforcement Learning, Aditya Joshi
Emotion-Based Music Recommendation System, Harshini Kanamathareddy
Adversarial Machine Learning for Robust Fraud Detection in Financial Systems, Rohan Kapdi
Targeted Bottlenecking of Self-Supervised Speech Layers for Generalizable Audio Deepfake Detection, Jakob Kauffmann
MediniAI: Spatially Grounded Agentic AI System for Urban Intelligence and Real Estate Reasoning, Shantanu Shivraj Khanapure
ASE SOFT FAILURE SIMULATION AND DETECTION IN OPTICAL NETWORKS USING LSTM, Gargi Ajit Kulkarni
A Temporal Evaluation Framework for Pedagogical Scope Compliance in RAG Tutoring Systems, Kranthi Kusal Latchupathula
Structured Chain-of-Thought Reasoning to Mitigate Hallucinations in Large Language Models, Jerry Liu
A Comparison of Image-Based Techniques for Malware Classification, Sushant Rakesh Lokhande
Evaluating Opcode based NLP and Graph Representations for Synthetic Malware, Jonathan Macoco
Glutathione: Exploring Possible Epigenetic Relationships To β-Amyloids & Tau Buildup In non-Alzheimer’s Disease Subjects, Shamika Majmudar
AI CONTEXTUAL LEARNING TOOL: TEACHING MACHINE LEARNING VIA CONCEPTUAL TRANSFER, Shishir Dongre Mala
Mitigating API Hallucination in LLM-Generated Code via Structured Grounding, Selective Augmentation, and Validator-Guided Repair, Aniket Ramesh Mali
TASK-AWARE GAME-THEORETIC SCHEDULING FOR MORPHENCE-MTD FRAMEWORK IN TIME-SERIES FORECASTING, Mahima Chowdary Mannava
KOLMOGOROV-ARNOLD NETWORKS ARE VULNERABLE TO INFERENCE-TIME ATTACKS FOR REGRESSION PROBLEMS, Amirali Marashifar
NeuroLoop: Closed-Loop Deep Brain Stimulation for Controlling Neural Synchronization, Owen Mastropietro
HyperKGRec: A Hypergraph-Enhanced Recommendation System with Knowledge Graph Embeddings, Sahil Atul Mhatre
Multimodal Emotion Detection System, Shubhankar Sameer Munshi
Causal Tracing and Parameter Editing on Time-Series Foundation Model, Jathin Shettigar Nagabhushan
Legal Document Analysis - Clause Classification and Summarization, Skanda Gonur Nagaraj
FinKGR: Neuro-Symbolic Reasoning on Financial Knowledge Graphs via Rule Mining and Transformers, Rudraksh Naik
Cost-Aware Predictive Routing for Vision-Language Models, Sahil Sait Naveed
Modeling Sealed Deck Construction in Collectible Card Games Using Learning-to-Rank Approach, Michael Dinh Nguyen
Network Intrusion Detection Using Benford’s Law and Statistical Distance Functions, Huy Ong
Computer Vision Pipeline for Archaeological Artifact Detection Using Faster R-CNN, Mithi Pandey
Benford’s Law for Malware Detection: Class-Aware Feature Selection with Cascade Hybrid Classification, Vaibhav Reddy Panyala
Stacked Ensemble Learning for Graph-Based Fraud Detection, Mansi Patel
RelCheck: Training-Free Detection and Correction of Relational Hallucinations in Multimodal Large Language Model Outputs, Siddhi Sarjerao Patil
Multi-Scale Alcohol Consumption Behavior Detection from Wearable Motion Sensors, Ananya Penuballi
Multi-Judge Consensus Scoring for IRT-Based Adaptive LLM Evaluation, Omkar Podey
REINFORCEMENT LEARNING FOR ADAPTIVE SEMANTIC COMMUNICATION SYSTEMS, Sai Prakash
Exploring Steganographic Capacity of Machine Learning Models Via Bit-Level Parameter Perturbations, Akanksha Raghapur
EXPLAINABLE AND ADVERSARIALLY ROBUST IOT MALWARE DETECTION USING LIGHTWEIGHT NEURAL NETWORKS, Narayana Murthy Raju
Query Implied Generative Engine Optimization, Shilpa Ramakrishna
Spartan Write: An Academic Document Editor Supercharged by Agentic Artificial Intelligence, Vivek Raman
Reinforcement Learning-Based Scheduling of Dependent AI Workflows on the Edge-Cloud Continuum, Siva Girish Ramesh
Bilingual Video Captioning: Extending Vision-Language Models for English and Hindi, Gitika Rath
Multi-Agent Path Planning and Optimization using Q-learning, Chirag Rudresh
Multi-Agent Path Planning and Optimization using Q-learning, Chirag Rudrish
Machine Learning, Computer Vision, and Corals, Patricia Saito
Evaluating Prompt Brittleness and Robustness in Large Language Models Across Classification, Reasoning, and Retrieval Tasks, Shubh Sanghvi
Dish-to-Grocery Structured Prediction with Index-Constrained Large Language Models, Titas Sarkar
Improved Variational Graph Autoencoder for Link Prediction on Real-World Telecom Graphs, Mugdha Arun Sathe
On the Accuracy-Cost Frontier of Reasoning Models, Sindhu Satish
Combining CRISPR and NanoASV to Uncover the Rare Bacterial Communities of the Human Oral Microbiome, Gilma Ruth Sevilla Alvarez
Explainable Malware Detection: Integrating Hierarchical Machine Learning with Large Language Model Reasoning on the EMBER Dataset, Pranay Shanigarapu
Sleeper Agent Behavior in Small Code Language Models, Ananta Singh
Investigating UI Based and AI Based Interactions in VR Environments for Human Anatomy Education, Siddharth Sondhi
Robustness of AI-Art Detectors under Generator Shift, Shivank Singh Thakur
Match Made in ML: Developing Compatibility Relationships in Evidential Reasoning Approaches with Machine Learning, Ella Jolie Thomas
A Modular Enhancement Pipeline to Improve Code Generation in Small Language Models, Sakshi Sanskruti Tripathy
Performing Data Analysis and Machine Learning Techniques on Health Data, Rachel Tsai
Adaptive Real-Time Fraud Detection Using Online Learning and Explicit Concept-Drift Detection, Purva Govind Tugaonkar
GenderStego: A Novel Framework for Gait-Based Gender Recognition and Video Steganography, Sohan Vallapureddy
Evaluating Log-Based Anomaly Detection under Distribution Shift using CAShift, Harshitha Vipparthy
Impact of Cigarette Smoke on Immune and Stromal Cells, Justin Wong
A BENCHMARK STUDY OF LARGE LANGUAGE MODELS ON DRUM PATTERN STYLE CLASSIFICATION, Chung-Hsuan Wu
ApplicantAI: Transforming Resume Creation, Leveraging LLMs for Job Applications, Dustin Yan
Emotional Patterns in Conversational Social Media Using Graph-Based Context, Sai Sanjay Yerunkar
Evaluating Noise-Based Defenses Against Adversarial Attacks in Object Detection, Victor Zhen
Master's Projects from 2025
SemanticGraphRec: Lightweight Hybrid Recommendations Powered by Semantic Item Representations and Graph Collaborative Filtering, Devi Surya Kumari Akula
Landslide Prediction Using Time-Series Decomposition, Reinforcement Learning-based Feature Selection and ML Models, Mohith Sai Venkat Ankem
Multilingual Sentiment Analysis Using Ensemble Learning, Farhan Ansari
Enhancing Code Review Automation with Large Language Models using QLoRA Fine-Tuning and RAGs, Sumukh Naveen Aradhya
On the Adversarial Robustness of Quantized Neural Networks Against Common Adversaries in Time-Series Forecasting, Maanak Arora
PHISHING DETECTION USING CONTINUAL LEARNING AND LARGE LANGUAGE MODELS, Gopi Prajeev Battula
