Theses/Dissertations from 2026
Pipeline Optimization of Agentic LLMs for Text-to-SQL, Peter Conant
The Zeal Instruction Set Architecture, Joseph A. Gerani
Moral: Multimodal Reasoning for Autonomous Language Models with Sensor-Grounded Spatial Bev Rendering, Ambarish Govindarajulu Kaliamurthi
Accessibility Fairness Practices in AI Applications for People with Disabilities, Megan Gross
Lightweight Streaming LLMs: Attention Layer Pruning for Memory-Efficient Long-Sequence Inference, Ashley Irawan
Adaptive Task-Driven Lidar Point Cloud Compression for Autonomous Driving, Su Hyun Kim
Towards Neural Network Optimization: Addressing Issues with Corrupted Weights Within Models, Nick Najafizadeh
Image Layer Decomposition Using Deep Reinforcement Learning, Lindsey A. Raven
Bit Sliced Vectors Native Tensor-Core Kernels for Compressed LLM Inference, Poorna Ravuri
Online HD Map Construction via Non-Visible Driveline Priors and Diffusion-Enhanced BEV Representations, Seojun Shon
Early Failure Detection in Web Navigation Agents via Closed Sequential Pattern Mining, Sergio Talavera
RThermaL: Gate Level Power and Thermal Simulation for 3D-Stacked Chips, Peter Xiong
A Roformer Cascade for Automatic Piano Transcription, Xinwen B. Zhang
Data Augmentation for Vision-Language-Action Models: Bridging Vision and Language, Miaosen Zhou
Theses/Dissertations from 2025
Towards a Generalized and Optimized Apriori Approach, Artem Abdikov
Cost-Effective Automated UHI Mapping with AI: A Case Study of a Scalable Framework for Climate Equity in San José, California, Martin Alvarez Lopez
Advancing Hi-C Resolution Through Generative And Transformer-Based Models, Manan Choksi
An Input-Level Multi-Resolution Stem for UNet++ in Diabetic Retinopathy Lesion Segmentation, Indranil Dutta
STEAD: Spatio-Temporal Efficient Anomaly Detection for Time and Compute Sensitive Applications, Andrew Gao
Latent Action Trajectory Optimization, Rahul Milind Kandekar
Understanding and Evaluating Genomic Language Models, Aadit Kapoor
Quantization on Graph Neural Networks for Image Classification, Rithik Reddy Katpally
Bias and Fairness in Federated Learning for Healthcare, Pratikkumar Dalsukhbhai Korat
Enhancing Medical Reasoning in Small Language Models Through Feedback-Guided Refinement, Monish Sai Lakamraju
Learning Structure with Multivariate Information Bottleneck and Exploration of New Methods in Sequential Decision Making, Volodymyr Makarenko
Parameter-Efficient Multimodal Adaptation: OCR-Integrated Lora for TextVQA and Captioning, Karthik Ganesh Malini
Using Facial Recognition for Selective Pose Detection, William J. Parker
Automatic Guitar Transcription of Polyphonic Music, Ritwik Patil
Quantum Algorithm Emulation Using FPGAs, Samuel Petruescu
Developing a Vietnamese Text Summarization Large Language Model on Limited Hardware, Tin Pho
Retrieval Augmented Framework for Deepfake Audio Detection, Avinash Saxena
Sirilla: Predicting Traffic Flow via Stacked Decentralized Federated Learning, Andrew Selvia
Super-Resolving Hi-C: Benchmarking Hicplus and A Film-Conditioned Resnet on Bulk and Single-Cell Data, Arielle Shnayder
Building a Data-Driven Security AI Framework Using Machine Learning Models, Christopher Chan Vi
Exploring Math Word Problem Generation With LLMs, Trung Hieu Vuong
Theses/Dissertations from 2024
Synthetic Data and Deep Learning for Process Monitoring in Manufacturing, Sahib S. Bhatia
An Exploration of Dimensionality Reduction of Dynamics on Lie Groups via Structure-Aware Canonical Correlation Analysis, Wooyoung Chung
Uncovering Weaknesses in Autonomous Driving: a Formal Approach to Adversarial Scenario Generation and Falsification, Carlos O. Hernandez
Illusory Attacks on Reinforcement Learning Agents, Megha R. Jain
An Exploration of Learning Hybrid Dynamical Models from Observations, Ezgi Kaya
Reinforcement Learning Based Planning and Control for Robotic Source Seeking Inspired by Fruit Flies, Gauravkumar Koradiya
A Novel Reinforcement Learning Method for Efficient Cross-Training Between Real and Simulated Robots, Zhonglin Liang
Synthetic Data Generation for Accurate, Fair, and Private Recommender Systems, Derek B. Lilienthal
UnrealVision: A Synthetic Dataset Generator for Human-Pose Estimation and Behavior Analysis, Thinh Lu
An Exploration of Information Processing In Diffusion Models, Paul Mello
An Exploration of The Efficient Empowerment Calculation With Differentiable Sensors, Ankit Pal
Decentralized Traffic Congestion Control Using Intrinsically Motivated AI Agents, Himaja Papala
Anomaly Detection & Classification Using Machine Learning for Campus Surveillance, Shakshi Richhariya
Controllable Physics-Informed Latent Space for Acoustic Wave Manipulation, Tristan Shah
Extension of Directed Information Neural Estimation With Transformers, Enosh Shrestha
Data-driven Control of Acoustic Waves Using Movable and Flexible Scatterers, Noam Smilovich
Domain Specific Aspect Extraction For Product Design, Divyam Sobti
Enhancing Cross-Cultural Communication in Low-Resource Language Conversational Agents, Hardi V. Trivedi
Theses/Dissertations from 2023
Common Pattern Generation for the Detection of LOLBin Attacks, Alaa AbuShqeir
Group-Invariant Reinforcement Learning, Fnu Ankur
Automatic Presentation Slide Generation Using LLMs, Tanya Gupta
Deep Learning in AI Medical Imaging for Stroke Diagnosis, James Mario Guzman
Exploring the Design Space of Simulated Robotic Arms with Tactile Stimuli for Object Manipulation Using Reinforcement Learning Methods, Alavi Ahmed Khan
Detecting the Onion Routing Traffic in Real-Time by using Reinforcement Learning, Dazhou Liu
Intrinsic Motivation by the Principles of Non-Linear Dynamical Systems, Phu C. Nguyen
Accident Prediction on E-Bikes Using Computer Vision, Rohith Puvvala Subramanyam
Blockchain for Online Video Game Integrity, Philip Salire
Controllability-Constrained Deep Neural Network Models for Enhanced Control of Dynamical Systems, Suruchi Sharma
Theses/Dissertations from 2022
Autonomous Network Defence Using Multi-Agent Reinforcement Learning and Self-Play, Roberto G. Campbell
Unmasking Medical Fake News Using Machine Learning Techniques, Garima Chaphekar
Coordination Protocols for Verifiable Consistency in Distributed Storage Systems, Ashwin Ramaswamy
Autonomous Vehicle Testing Using A Model-Based Approach, Muslim Razi
SparTrans: Transformer Based Protein Discovery, Ryan Y. Shu
Achieving Location Privacy in iOS Platform Using Location Privacy Framework, Anna Systaliuk
SMARTREC - A Smart Conversational Recommendation System Using Semantic Knowledge Graphs, Sudha Vijayakumar
A RISC-V Matrix Multiplier Using Systolic Arrays, Miao Wang
Theses/Dissertations from 2021
Advancements in the Field of Reinforcement Learning, Apoorva Sunil Banubakode
Exploring the Applicability of ML in IOT Applications, Bhakti Subhash Chowkwale
A Deep Learning Method For Comparing Hi-C Data, Sughosh Krishnamurthy
Looking into the Future: Predicting Future Video Frames Using Monocular Depth Estimation and Egomotion, Meera Kumar
Towards Standardizing System Design and Automating Deployment, Prerana Shekhar
Faster Depth Estimation for Situational Awareness on Urban Streets, Sanjana Srinivas
Theses/Dissertations from 2020
Adaptive Learning Technique For Facial Recognition, Rachana Dineshkumar Bumb
A Code Reputation System Using AI and Blockchain Technology, Jeremy Chau
Auto-Landing System for Fixed-Wing Unmanned Aerial Vehicle, Dan Dermer
Influence of Social Circles on User Recommendations, Chaitanya Krishna Kasaraneni
Enhancing Point Cloud Density with Stereo Images, Seung Won Lee
Multimodal Wildfire Surveillance with Autonomous Drones, Tomasz Wojciech Lewicki
An Evaluation Of Generated Lyrics, Junlan Lu
A Study on the Contributions of Domain-Specific Semantics Towards Aspect-Based Sentiment Analysis, Aashay Mokadam
LSTM-enabled Level Curve Tracking in Scalar Fields Using Multiple Mobile Robots, Kunj J. Parikh
Deep Reinforcement Learning based Path-Planning for Multi-Agent Systems in Advection-Diffusion Field Reconstruction Tasks, Deepak Talwar
Theses/Dissertations from 2019
Using Blockchain Technology for The Organ Procurement and Transplant Network, Utsav Jain
Reduction-free Multiplication in GF(2n) Applicable to Modern and Post-quantum Cryptographic Schemes, Samira Carolina Oliva Madrigal
Smart Scheduler Design for Wafer Processing Systems, Deeksha Prakash Kankalale
Faster Multidimensional Data Queries on Infrastructure Monitoring Systems, Yinghua Qin
Combining Blockchain and Swarm Robotics to Deploy Surveillance Missions, Ardalan Razavi
Non-invasive Hyperglycemia Detection using ECG and Deep Learning, Renato Silveira Cordeiro
Effect of Neighborhood Approximation on Downstream Analytics, Saranya Soundar Rajan
Theses/Dissertations from 2018
Big Data Quality Modeling And Validation, Khushali Yashodhar Desai
Social Recommendation Systems, Avni Gulati
Vehicle Tracking Based on Historical Intersection Over Union, Shuai Hua
Machine Learning Methods for Kidney Disease Screening, Rathna Ramesh
Constructing Dynamic Ad-hoc Emergency Networks using Software-Defined Wireless Mesh Networks, Roop Kumar Sriramulu
Theses/Dissertations from 2017
An Experimental Study of Human Body Magnetic Communication, Arvind Allawadi
