Below are theses and dissertations completed by graduates of the University of Nevada Las Vegas Computer Science Department.
For the entire collection of UNLV theses and dissertations, visit UNLV Theses, Dissertations, Professional Papers, and Capstones
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
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
Real–Time Semantic Segmentation for Railway Anomalies Analysis, Paul Stanik Iii
An Empirical Investigation into the Impact of Automated Grading, Alex James St. Aubin
Reachability and Turn Constraint Paths, Sabrina Wallace
Theses/Dissertations from 2021
From Language Comprehension Towards General AI, Binay Dahal
Comparing a New Algorithm for the Traveling Salesman Problem to Previous Deterministic and Stochastic Algorithms, Edward Friesema
An Introduction to Federated Learning and Its Analysis, Manjari Ganapathy
Effect of Boundary Approximation on Visibility, Samridhi Jha
Calculating the Learning Rate of a Neural Network using a Genetic Algorithm, Eric Miller
Exploring the Latent Space of Image Captioning Networks, Mikian J. Musser
Machine Learning Analysis of Single Nucleotide Polymorphism (SNP) Data to Predict Bone Mineral Density in African American Women, Erick Githua Wakayu
Theses/Dissertations from 2020
An Investigation into Multi-View Error Correcting Output Code Classifiers Applied to Organ Tissue Classification, Daniel Alvarez
Analysis of Blockchain-Based Storage Systems, Phillipe Austria
A Framework for Vector-Weighted Deep Neural Networks, Carter Chiu
Machine Learning for Prediction of Trabecular and Cortical Bone Mineral Density, Partha Chudal
Toward Productivity Improvements in Programming Languages Through Behavioral Analytics, Patrick Daleiden
A Machine Learning Approach to Predict Retention of Computer Science Students at University of Nevada, Las Vegas, Sudhir Deshmukh
A Divide and Conquer with Semi-Global Failover for Software Defined Networks, Kasra Goravanchi
Machine Learning Approach for Predicting Cancer Using Gene Expression, Aashi Maharjan
Studies on Kernels of Simple Polygons, Jason Mark
A Fortified Extension of the AES and Its Implementation, Ashby Mullin
Towards Multi-Modal Data Classification, Henry Ng
The ProcessJ C++ Runtime System and Code Generator, Alexander Christian Thomason
Detection of SNPS Associated with Bone Loss Rate by Using Machine Learning Approaches, Avinash Yaganapu
Theses/Dissertations from 2019
Classification of Vegetation in Aerial Imagery via Neural Network, Gevand Balayan
A Novel Feature Maps Covariance Minimization Approach for Advancing Convolutional Neural Network Performance, Bikram Basnet
Machine Learning Approach for Prediction of Bone Mineral Density and Fragility Fracture in Osteoporosis, Bibek Bhattarai
Permutation Flow Shop via Simulated Annealing and NEH, Pooja Bhatt
Storing IOT Data Securely in a Private Ethereum Blockchain, Vinay Kumar Calastry Ramesh
Machine Learning Prediction of Primary Tissue Origin of Cancer from Gene Expression Read Counts, Lohitha Chintham Reddy
ProcessJ: The JVMCSP Code Generator, Oswaldo Benjamin Cisneros Merino
Managing IOT Data on Hyperledger Blockchain, Akhil David
Improving OCR Post Processing with Machine Learning Tools, Jorge Ramon Fonseca Cacho
Machine Learning Classification of Primary Tissue Origin of Cancer from DNA Methylation Markers, Sravani Gannavarapu Surya Naga
Coarse-Grained, Fine-Grained, and Lock-Free Concurrency Approaches for Self-Balancing B-Tree, Edward R. Jorgensen II
Batching Problems with Constraints, Shradha Kapoor
Approximation Algorithms for Illuminating 1.5D Terrain, Jiwan Khatiwada
Private Group Communication in Blockchain Based on Diffie-Hellman Key Exchange, Zachary Steven Laney
Static Malware Detection using Deep Neural Networks on Portable Executables, Piyush Aniruddha Puranik
Performance Comparison of Message Queue Methods, Sanika Raje
Benchmarking Permutation Flow Shop Problem: Adaptive and Enumerative Approaches Implementations via Novel Threading Techniques, Hari Prasad Sapkota
Generating Kernel Aware Polygons, Bibek Subedi
Rethinking Timestamping: Time Stamp Counter Design for Virtualized Environment, Alexander Tabatadze
On The Human Factors Impact of Polyglot Programming on Programmer Productivity, Phillip Merlin Uesbeck
Theses/Dissertations from 2018
Efficient and Practical Composition of Lock-Free Data Structures, Neha Bajracharya
Application of Machine Learning in Cancer Research, Mandana Bozorgi
Advancing Community Detection Using Keyword Attribute Search, Sanket Chobe
Combinatorial Ant Optimization and the Flowshop Problem, Tasmin Chowdhury
Algorithms for Tower Placement on Terrain, Binay Dahal
Elliptic Cryptosystem, Elizabeth Dettrey
UAS-based Object Tracking via Deep Learning, Marc Dinh
Concurrency in Blockchain Based Smartpool with Transactional Memory, Laxmi Kadariya
Deep Data Locality on Apache Hadoop, Sungchul Lee
Performance Analysis of Blockchain Platforms, Pradip Singh Maharjan
Scheduling Two Machines with Dissimilar Costs, Madhurupa Moitra
Community Detection and Ranking in Big Data Graphs, Matin Pirouz Nia
Machine Learning Applications in Graduation Prediction at the University of Nevada, Las Vegas, Elliott Collin Ploutz
A Machine Learning Approach to Predict First-Year Student Retention Rates at University Of Nevada, Las Vegas, Aditya Rajuladevi
Application of Machine Learning Techniques in Credit Card Fraud Detection, Ronish Shakya
Study of Blockchain-as-a-Service Systems with a Case Study of Hyperledger Fabric Implementation on Kubernetes, Aniket Jalinder Yewale
Theses/Dissertations from 2017
Non-blocking Priority Queue based on Skiplists with Relaxed Semantics, Ashok Adhikari
Competitive Power Down Methods in Green Computing, James Andro-Vasko
Survey and Analysis of Android Authentication Using App Locker, Akshitha Reddy Chintalaphani
A Test Driven Approach to Develop Web-Based Machine Learning Applications, Armin Esmaeilzadeh
Finding Top-k Dominance on Incomplete Big Data Using Map-Reduce Framework, Payam Ezatpoor
Scalability Analysis of Blockchains Through Blockchain Simulation, Sneha Goswami
Degree Constrained Triangulation of Annular Regions and Point Sites, Bhaikaji Gurung
Advanced Applications Of Big Data Analytics, Sai Phani Krishna Parsa
Deep Learning Implementation for Comparison of User Reviews and Ratings, Nishit Shrestha
Lock-free Self-adjusting Binary Search Tree, Sachiko Sueki
High Utility Itemsets Identification in Big Data, Ashish Tamrakar
Implementation and Analysis of Communication Protocols in Internet of Things, Priyanka Thota
Pure Strategies and Equity Optimization for Multi-Draw Video Poker, D. Williams
Improving Pattern Recognition and Neural Network Algorithms With Applications to Solar Panel Energy Optimization, Ernesto Zamora Ramos
Theses/Dissertations from 2016
Vulnerability Analysis and Security Framework for Zigbee Communication in IOT, Charbel Azzi
Empirical Study of Concurrent Programming Paradigms, Patrick M. Daleiden
Security Threats from UAS and Its Mitigation Through Detection and Tracking, Sai Ram Ganti
Improvement of Security in UAS Communication and Navigation using ADS-B, Vedadatta Gouripeddi
A Simulator Application for Distributed Leader Election Algorithms, Sugeeswara Gurudeniya
Top-K Nodes Identification in Big Networks Based on Topology and Activity Analysis, Sweta Gurung
Algorithms for Monotone Paths with Visibility Properties, Bikash Lama Bamjan
Efficient Algorithms for Clustering Polygonal Obstacles, Sabbir Kumar Manandhar
Novel Non-Blocking Approach for a Concurrent Heap, Rashmi Niyolia
Analysis of Power-Down Systems with Five States, Govind Pathak
Simulation of Online Bin Packing in Practice, Kalpana Rajagopal
A Case Study on Enterprise Content Management using Agile Methodology, Rohit Raj
A Web-Based Solution for Small Unmanned Aircraft System (sUAS) Traffic Management, Monetta Angelique Shaw
Parallel Static Object Detection, Tirambad Shiwakoti
The JVMCSP Runtime and Code Generator for ProcessJ in Java, Cabel Dhoj Shrestha
A Web Based User Interface for Machine Learning Analysis of Health and Education Data, Chandani Shrestha
Mining Unstructured Log Messages for Security Threat Detection, Candace Suh-Lee
An Empirical Study on The Impact of C++ Lambdas And Programmer Experience, Phillip Merlin Uesbeck
Enhancing the Draft Assembly with Minhash, Saju Varghese
Theses/Dissertations from 2015
Data Analysis With Map Reduce Programming Paradigm, Mandana Bozorgi
Fall Detection by Using Video, Robert J. Gripentog