Theses/Dissertations from 2022
A Reconfigurable FPGA Overlay Architecture for Matrix-Matrix Multiplication, Zihao Chen
Smart Sensing and Clinical Predictions with Wearables: From Physiological Signals to Mental Health, Ruixuan Dai
Dynamic Continuous Distributed Constraint Optimization Problems, Khoi Hoang
The Effects of Host-like Environmental Signals and Gene Expression on Capsule Growth in Cryptococcus neoformans, Yu Min Jung
Application of Crowdsourcing and Machine Learning to Predict Sentiments in Textual Student Feedback in Large Computer Science Classes, Robert Kasumba
Measuring the Effectiveness of Light Concentration with the Catoptric Surface, Samatha Kodali
Applying HLS to FPGA Data Preprocessing in the Advanced Particle-astrophysics Telescope, Meagan Konst
Application of Neural Networks to Predict Patient-Specific Cellular Parameters in Computational Cardiac Models, Chang Hi Lee
Scalable Software Infrastructure for the Lab and a Specific Investigation of the Yeast Transcription Factor Eds1, Chase Mateusiak
Design & Analysis of Mixed-mode Integrated Circuit for Pulse-shape Discrimination, Bryan Orabutt
Modeling Metastasis in Breast Cancer Patients Using EHR Data, the Area Deprivation Index (ADI), and Machine Learning Models, Vishesh Patel
Speeding up the quantification of Contrast Sensitivity functions using Multidimensional Bayesian Active Learning, Shohaib Shaffiey
Integrating Physical Models and Deep Priors for Computational Imaging, Yu Sun
Human-Centered Machine Learning: Algorithm Design and Human Behavior, Wei Tang
Scheduling for High Throughput and Small Latency in Parallel and Distributed Systems, Zhe Wang
Model-based Deep Learning for Computational Imaging, Xiaojian Xu
Design and Analysis of Strategic Behavior in Networks, Sixie Yu
Geometric Algorithms for Modeling Plant Roots from Images, Dan Zeng
Theses/Dissertations from 2021
Using Computer Vision to Track Anatomical Structures During Cochlear Implant Surgery, Nicholas Bach
Bayesian Quadrature with Prior Information: Modeling and Policies, Henry Chai
Improving additional adversarial robustness for classification, Michael Guo
Deep learning for automatic microscopy image analysis, Shenghua He
Control Flow Integrity for Real-time Embedded Systems, Yuqian Huo
Control Flow Integrity for Real-time Embedded Systems, Yuqian Huo
Mapping Transcription Factor Networks and Elucidating Their Biological Determinants, Yiming Kang
Predicting Patient Outcomes with Machine Learning for Diverse Health Data, Dingwen Li
Real-Time Virtualization and Coordination for Edge Computing, Haoran Li
Regularized Coordinate-based Neural Representation Learning for Optical Tomography, Renhao Liu
Discovery and Characterization of Circular and Chimeric RNAs in Complex Diseases, Xiaoxin Liu
Holistic Control for Cyber-Physical Systems, Yehan Ma
Preference Elicitation in Constraint-Based Models: Models, Algorithms, and Applications, Atena M. Tabakhi
Data-Driven Approaches to Solve Inverse Problems, Peijie Qiu
A Collaborative Knowledge-Based Security Risk Assessments Solution using Blockchains, Tara Thaer Salman
Improving Resource Efficiency in Cloud Computing, Jiayi Song
Towards Deploying Robust Machine Learning Systems, Liang Tong
The Challenges of Applying Computational Legal Analysis to mHealth Security and Privacy Regulations, Brian Tung
Stochastic Goal Recognition Design, Christabel Wayllace
A Case Study on HLS Portability from Intel to Xilinx FPGAs, Zhili Xiao
Reasoning about Scene and Image Structure for Computer Vision, Zhihao Xia
Provably and Practically Efficient Race Detection for Task-Parallel Code, Yifan Xu
Data Driven Architectural Geometric and Photometric Modeling, Huayi Zeng
Translating Convolutional Neural Networks Approach to the Ventral Pathway, Victoria Zhang
Effective Machine Learning Methods for Accurate Medical Image Segmentation, Zhuangzhuang Zhang
Addressing Pragmatic Challenges in Utilizing AI for Security of Industrial IoT, Maede Zolanvari
Theses/Dissertations from 2020
Domain Specific Computing in Tightly-Coupled Heterogeneous Systems, Anthony Michael Cabrera
A Generalized Gaussian Process Likelihood for Psychometric Function Estimation, Jonathan Wenhan Chen
Exploring Attacks and Defenses in Additive Manufacturing Processes: Implications in Cyber-Physical Security, Nicholas Deily