Theses/Dissertations from 2024
Blind Evaluation Framework for Fully Homomorphic Encryption and Privacy-Preserving Machine Learning, Hunjae Lee
Beyond the Horizon: Exploring Anomaly Detection Potentials with Federated Learning and Hybrid Transformers in Spacecraft Telemetry, JUAN RODRIGUEZ
Neuro-Symbolic Commonsense Reasoning with Resistance to Data Poisoning: A First-Order Logic and Sub-Symbolic Embeddings Framework, Bryce Shurts and King-Ip Lin
Intelligent Resource Allocation for SDN/NFV-Enabled Networks through Reinforcement Learning, Jing Su
Supporting Service Composition through Service Usage-based Recommendation, Xihao Xie
Theses/Dissertations from 2023
End to End Routing Algorithms in Arbitrary Networks, Nada Alzaben
Visualized Algorithm Engineering on Two Graph Partitioning Problems, Zizhen Chen
Modified Dominator Algorithm For Strategic Placement Of Resources For Enterprise Security, Stacey Elliott
Real-Time Detection and Suppression of Malicious Attacks Using Machine Learning and Processor Core Events, ROBERT oshana
Computationally Efficient Design, Diagnosis, And Test Of Analog Integrated Circuit Analysis, Nisharg Shah
Data Leakage in Isolated Virtualized Enterprise Computing Systems, Zechariah D.J. Wolf
Theses/Dissertations from 2022
Human Trafficking and Machine Learning: A Data Pipeline from Law Agencies to Research Groups, Nathaniel Hites
Towards Multipronged On-chip Memory and Data Protection From Verification to Design and Test, Senwen Kan and Jennifer Dworak
Performance Analytics of Cloud Networks, Derek Phanekham
IllumiCore: Efficient Resource Allocation to Minimize Network Communication Latency, Leo Popokh
Theses/Dissertations from 2021
Collaborative Filtering based Generative Networks, Raghuram Srinivas
Reducing Power During Manufacturing Test Using Different Architectures, Yi Sun
Developing Iot-Based Geophysical Micro-Observatories Utilizing Cloud Computing, Joshua Sylvester
Enhanced Security Utilizing Side Channel Data Analysis, Michael Taylor
Using a Light-Based Power Source to Defeat Power Analysis Attacks, Remus Valentin Tumac
Exploring Neural Networks For Predicting Sentinel-C Backscatter Between Image Acquisitions, Zhongdi Wu
Theses/Dissertations from 2020
Analyzing Performance, Energy Consumption, and Reliability of Mobile Applications, Osama Barack
Deep Neural Network Based Student Response Modeling With Uncertainty, Multimodality and Attention, Xinyi Ding
Analysis of Github Pull Requests, Canon Ellis
The Prom Problem: Fair and Privacy-Enhanced Matchmaking with Identity Linked Wishes, Dwight Horne
Heuristics for Sparsest Cut Approximations in Network Flow Applications, Fernando Vilas
Cognition and Context-Aware Computing: Towards a Situation-Aware System with a Case Study in Aviation, Justin C. Wilson
Automating Cyber Analytics, Matthew Zaber
Theses/Dissertations from 2019
Long Term Software Quality and Reliability Assurance in a Small Company, Eric Abuta
A Grammar Based Approach to Distributed Systems Fault Diagnosis Using Log Files, Stephen Hanka
Automating Software Changes via Recommendation Systems, Xiaoyu Liu
Theses/Dissertations from 2018
Cloud Service Reliability and Usability Measurement, Abdullah Bokhary
Black Networks in Smart Cities, Shaibal Chakrabarty
Improving System-On-Chip Test Networks For: Bandwidth, Security, and Power, Saurabh Gupta
Leveraging Grammars For OpenMP Development in Supercomputing Environments, Samuel Hunter
Understanding Natural Keyboard Typing Using Convolutional Neural Networks on Mobile Sensor Data, Travis Siems
Cell-Aware Fault Analysis and Test Set Optimization in Digital Integrated Circuits, Fanchen Zhang and Jennifer Dworak
Theses/Dissertations from 2017
Implementation of Switching Circuit Models as Vector Space Transformations, David Kebo Houngninou
RGB Image-Based Pupillary Diameter Tracking with Deep Convolutional Neural Networks, Chatchai Wangwiwattana
