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About the Collection
This collection contains graduate student theses and dissertations from the UNLV Department of Computer Science. Records are organized by Year, Author, and Title. To view the entire collection of UNLV theses and dissertations across all programs, visit the UNLV Theses, Dissertations, Professional Papers, and Capstones collection.
Theses/Dissertations from 2026
Interpretable Deep Learning Models for Trustworthy Prediction of Enzyme Functions, Louis Dumontet
Iterative Silver-Label Refinement for Temporal Information Extraction in Biomedical Literature, Chan Lee
Theses/Dissertations from 2025
Developments on Abbreviations Towards Machine Reading Comprehension, Sing Choi
Fairness-Aware Interpretable AI in Bioinformatics and Healthcare, Euiseong Ko
Investigating Information Extraction and Language Models in Medical Domain Text Processing, Pouyan Nahed
Anonymous Cyber Threat Intelligence Sharing on Blockchain, Chol Hyun Park
Integrating Post-Quantum Cryptography Into a CDN-Style PKI: TLS And QUIC Performance Across PQC Suites, Katrina Mary Parsom
Interpretable Weakly Supervised Learning with Incomplete Data, Avinash Yaganapu
Theses/Dissertations from 2024
Addressing Inference Time of Machine Learning Models in Embedded Systems, Samuel Black
Harnessing NLP and Large Language Models for Pattern Discovery and Information Extraction in Electric Health Reports, Mina Esmail Zadeh Nojoo Kambar
An Empirical Investigation into the Transitional Friction of Block-Based Programming Languages, Alex Hoffman
Scoring Single-Sample Pathway Expression Level Using Graph Autoencoder, Eunyoung Jang
Interpretable and Evidential Deep Learning for Medical Image Analysis, Sai Chandra Kosaraju
Triangulation Guided High Clearance Collision-Free Paths, Sandeep Maharjan
Mining Gambling Data for Modeling Gambling Behavior Patterns, Piyush Aniruddha Puranik
Online Learning for Acid-Fast Bacilli Detection in Histopathological Images, Shizhao Wang
Theses/Dissertations from 2023
Dea2uth: A Decentralized Authentication and Authorization Scheme for Secure Private Data Transfer, Phillipe Austria
Information-Theoretic Model Diagnostics (InfoMoD), Armin Esmaeilzadeh
Scalable Algorithm Design and Performance Analysis for Graph Motifs Discovery, Md Abdul Motaleb Faysal
OCR Post-processing Using Large Language Models, Mahdi Hajiali
Algorithmic Approaches to Battery Consolidation in a Smart Grid, Dara Nyknahad
High Clearance Collision-Free Paths, Barun Thapa
Theses/Dissertations from 2022
Jiapi: A Type Checker Generator for Statically Typed Languages, Benjamin Cisneros Merino
Hyperspectral Image Analysis of Food for Nutritional Intake, Shirin Nasr Esfahani