Theses & Dissertations
Theses & Dissertations
MS in CS/DS Theses
Thesis-track Masters of Science in Computer Science (MS in CS) or in Data Science (MS in DS) students must write a thesis on a topic that interests them as part of their requirements. A list of past theses are listed below, along with a link to access and view them.List of Theses
2026
Alicioglu, Gulsum (January 2026): A VISUAL EXPLORATION FRAMEWORK FOR EXPLAINABLE DEEP REINFORCEMENT LEARNING https://rdw.rowan.edu/etd/3473
Gareau, Hunter Gerard (January 2026): Densest Subgraph Discovery On The CPU https://rdw.rowan.edu/etd/3470
Garuso, Attanasia (July 2026): ADVERSARIAL ROBUSTNESS IN SIGNAL CLASSIFICATION THROUGH VECTOR QUANTIZED INFORMATION BOTTLENECK https://rdw.rowan.edu/etd/3558
Skrypnyk, Petro (September 2026): A HYBRID RULE-BASED AND LARGE LANGUAGE MODEL FRAMEWORK FOR EXTRACTING ACRONYM–DEFINITION PAIRS FROM SCIENTIFIC LITERATURE https://rdw.rowan.edu/etd/3579
2025
Uppalapati, Vinay Kumar (June 2025): HIERARCHY VIZ: A VISUAL ANALYTICS FRAMEWORK FOR VISUALIZING HIERARCHICAL DATA USING MACHINE LEARNING https://rdw.rowan.edu/etd/3397
Kaasaragadda, Yagna Veera Narayan (June 2025): EFFICIENT SIGNAL SYNTHESIS FOR DATA AUGMENTATION USING GENERATIVE AI https://rdw.rowan.edu/etd/3376
Ali, Izhar (June 2025):Martingale Methods for Structural Change Detection and Feature Attribution in Dynamic Networks https://rdw.rowan.edu/etd/3405
Haileyesus, Million (November 2025): Soccer In-Game Event Classification Using Spatio-Temporal Data https://rdw.rowan.edu/etd/3462
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/
2020
Tapan Soni (November 2020): Moving target network steganography
https://rdw.rowan.edu/etd/
Joseph Scavetta (May 2020): Prediction of drug-drug interaction potential using machine learning approaches https://rdw.rowan.edu/etd/
2019
William Johan Burke IV (May 2019): A robust and automated deconvolution algorithm of peaks in spectroscopic data https://rdw.rowan.edu/etd/
2018
Phillip J. DiBona (July 2018): Information foraging through the analysis of semantic network topology https://rdw.rowan.edu/etd/
2017
John Scott Bucknam (June 2017): Data analysis and processing techniques for remaining useful life estimations https://rdw.rowan.edu/etd/
Malik Khaleeque Ahmed (February 2017): Exploring algorithms to recognize similar board states in Arimaa https://rdw.rowan.edu/etd/
2016
Tuan Anh Le (May 2016): Decoding of non-binary multiple insertion/deletion error correcting codes https://rdw.rowan.edu/etd/