List of Theses

2024

Tarun Teja Kairamkonda (June 2024): AN EMPIRICAL STUDY ON DETECTING AND EXPLAINING GLOBAL STRUCTURAL CHANGE IN EVOLVING GRAPH USING MARTINGALE https://rdw.rowan.edu/etd/3253/

Steven Edward Arroyo (June 2024): FEDERATED LEARNING BASED AUTOENCODER ENSEMBLE SYSTEM FOR MALWARE DETECTION ON INTERNET OF THINGS DEVICES https://rdw.rowan.edu/etd/3242/

Brian J. Campana (June 2024): Reinforcement Learning for Robotic Tasks: Analyzing and Understanding the Learning Process Using Explainable Artificial Intelligence Methods https://rdw.rowan.edu/etd/3250/

Armani Lorenzo Rodriguez (June 2024): Hierarchical Quantized Autoencoders: Using Hierarchical Models for Data Compression Across Multiple Domains https://rdw.rowan.edu/etd/3263/

Naga Lakshmi Chittitalli Ravuri (June 2024/MS DS): INTEGRATION OF MACHINE LEARNING IN STRUCTURAL HEALTH MONITORING FOR DAMAGE IDENTIFICATION AND RESPONSE PREDICTION IN BRIDGES  https://rdw.rowan.edu/etd/3252/

2023

Richard Imorobebh Igbiriki (November 2023): Enhancing Inter-Document Similarity Using Sub Max  https://rdw.rowan.edu/etd/3170/

Maria Lentini (September 2023/MS DS): MACHINE LEARNING AND CAUSALITY FOR INTERPRETABLE AND AUTOMATED DECISION MAKING https://rdw.rowan.edu/etd/3157/

Asmika Boosarapu (June 2023): COMPUTATION OFFLOADING DESIGN FOR DEEP NEURAL NETWORK INFERENCE ON IoT DEVICES https://rdw.rowan.edu/etd/3128/

Ikuromor Mabel Ogiriki (January 2023): MACHINE LEARNING MODELS INTERPRETABILITY FOR MALWARE DETECTION USING MODEL AGNOSTIC LANGUAGE FOR EXPLORATION AND EXPLANATION  https://rdw.rowan.edu/etd/3079/

2022

Kousalya Soumya Lahari Voleti (October 2022): UTILIZING FEDERATED LEARNING AND META LEARNING FOR FEW-SHOT LEARNING ON EDGE DEVICES https://rdw.rowan.edu/etd/3069/

Benjamin D. Weidner (August 2022): Effective Immersive Analytics for Everyday Use 
https://rdw.rowan.edu/etd/3047/

Thomas H. Auriemma (June 2022): A DIGITAL APPLICATION FOR ASSESSMENT OF NEUROCOGNITIVE DISABILITIES https://rdw.rowan.edu/etd/3018/

Nicholas Michelette (June 2022): An Empirical Study On Sampling Approaches For 3D Image Classification Using Deep Learning https://rdw.rowan.edu/etd/3017/

Autumn Lilly Chadwick (May 2022): LOW MEMORY CONTINUAL LEARNING CLASSIFICATION ALGORITHMS FOR LOW RESOURCE HARDWARE https://rdw.rowan.edu/etd/3012/

Christene Harris (May 2022): ASSESSING THE EFFECT OF INTERACTIVITY ON VIRTUAL REALITY SECOND LANGUAGE LEARNING https://rdw.rowan.edu/etd/3013/

Andrew D. Cuccinello (January 2022): An Empirical Study on the Efficacy of Evolutionary Algorithms for Automated Neural Architecture Search https://rdw.rowan.edu/etd/2964/

2021

Matthew Brian Schofield (June 2021): Rebalancing shared mobility systems by user incentive scheme via reinforcement learning https://rdw.rowan.edu/etd/2912/

John A. Stranahan Jr. (February 2021): LoRaWAN device security and energy optimization https://rdw.rowan.edu/etd/2870/

2020

Tapan Soni (November 2020): Moving target network steganography
https://rdw.rowan.edu/etd/2850/

Joseph Scavetta (May 2020): Prediction of drug-drug interaction potential using machine learning approaches https://rdw.rowan.edu/etd/2796/

2019

William Johan Burke IV (May 2019): A robust and automated deconvolution algorithm of peaks in spectroscopic data https://rdw.rowan.edu/etd/2657/

2018

Phillip J. DiBona (July 2018): Information foraging through the analysis of semantic network topology https://rdw.rowan.edu/etd/2589/

2017

John Scott Bucknam (June 2017): Data analysis and processing techniques for remaining useful life estimations https://rdw.rowan.edu/etd/2430/

Malik Khaleeque Ahmed (February 2017): Exploring algorithms to recognize similar board states in Arimaa https://rdw.rowan.edu/etd/2360/

2016

Tuan Anh Le (May 2016): Decoding of non-binary multiple insertion/deletion error correcting codes https://rdw.rowan.edu/etd/1544/

2014

Curtis White (November 2014): Using Random Forest in the field of metabolomics https://rdw.rowan.edu/etd/444/

Patrick McKee (September 2014): ARIMAA: developing a higher ranked fall back move generator using a relational database https://rdw.rowan.edu/etd/547/

Douglas Taggart (June 2014): Towards an automated system for evaluation of visualizations https://rdw.rowan.edu/etd/318/

Remo Cocco (January 2014): Optimizing ad-hoc on-demand distance vector (AODV) routing protocol using geographical location data https://rdw.rowan.edu/etd/531/

2012

Edward Burns (September 2012): A glyph and animation-based visualization system for evaluation and comparison of soccer players https://rdw.rowan.edu/etd/219/

Nicole Nelson (December 2012): Hybrid solvers for the Boolean Satisfiability problem: an exploration https://rdw.rowan.edu/etd/239/

Andrew Fabian (January 2012): Visualizing graphs with distinguishable edges and ordered binary trees in small area https://rdw.rowan.edu/etd/485/

2008

Chu Yao (December 2008): Quad general tree drawing algorithm and general trees characterization: towards an environment for the experimental study on general tree drawing algorithms https://rdw.rowan.edu/etd/765/