The one-stop shop for all UTA Computer Science and Engineering Dissertations written by PhD students for their degree requirements!
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Dissertations from 2024
CONTENT MODERATION ON SOCIAL MEDIA: SOCIAL AND COMPUTATIONAL STANDARDS AND IMPLICATIONS, Mohit Singhal
Identifying Fact-Checks Helpful for Vetting Factual Claims, THEODORA TOUTOUNTZI
Living Datasets: Towards Data-Centric AI Explainability and Bias Mitigation, Akib Zaman
When Brain Meets Artificial Intelligence, Lu Zhang
Bringing "Virtual" to "Reality": Enhancing Security and Usability on VR System and Applications, Huadi Zhu
Dissertations from 2023
AN INTELLIGENT MULTI-MODAL FRAMEWORK TOWARDS ASSESSING HUMAN COGNITION, Ashish Jaiswal
Deep Generative Sculpting Models for Single Image 3D Reconstruction, Jason Jennings
Enhancing Biomedical Imaging with AI: Compression, Prediction, and Multi-Modal Integration for Clinical Advancement, Mohammad Sadegh Nasr
Enhancing Indoors Robotic Traversability Estimation with Sensor Fusion, Christos Sevastopoulos
Constructing Large Open-Source Corpora and Leveraging Language Models for Simulink Toolchain Testing and Analysis, Sohil Lal Shrestha
Generative and Implicit Methods for 3D Point Cloud Processing, Mohammad Samiul Arshad
Towards Nuclei Segmentation with Limited Annotations, Mohammad Minhazul Haq
RESOURCE PROVISIONING FOR DATA-INTENSIVE USER-FACING APPLICATIONS, Huiyang Li
DEEP LEARNING FOR MOLECULAR PROPERTY PREDICTION, Hehuan Ma
Fuzz Testing of Zigbee Protocol Implementations, Mengfei Ren
INVESTIGATING THE EFFECT OF PEEPHOLE OPTIMIZATIONS ON BINARY CODE DIFFERENCES, Xiaolei Ren
On-Line Environment Adaptation for User Performance Optimization, Subharag Sarkar
COMPACT REPRESENTATIVES OF DATABASES AND RESPONSIBLE DATA MANAGEMENT, Suraj Shetiya
Toward a deeper integration of low-fidelity sketches into mobile application development, Soumik Mohian
Neural Network Architecture Optimization Using Reinforcement Learning, Raghav Vadhera
Optimizing Resource Utilization, Efficiency and Scalability in Deep Learning Systems, Xiaofeng Wu
TOWARD DIGITAL PHENOTYPING: HUMAN ACTIVITY REPRESENTATION FOR EMBODIED COGNITION ASSESSMENT, Mohammad Zakizadehghariehali
Practical Indirect Control Flow Analysis for Binary Executables, Haotian Zhang
Dissertations from 2022
Approximate Query Processing Using Deep Learning and Database Techniques, Shohedul Hasan
Understanding human actions: Cognitive assessment and action segmentation using human object interaction, Saif Sayed
Graph Representation Learning for Heterogeneous Multimodal Biomedical Data, Nhat Chau Tran
A Real-time Activity Recognition in a Congested Wireless Environment, Israel Oludayo Elujide
GAN-Based Domain Translation for Hand Pose Estimation and Face Reconstruction, Farnaz Farahanipad
Semi Automatic Hand Pose Annotation using a Single Depth Camera, Marnim Galib
DEEP LEARNING FOR PROTEIN PROPERTY AND STRUCTURE PREDICTION, Yuzhi Guo
Towards high performance cancer staging from histology images, Ashwin Raju
HAND ANALYSIS FROM DEPTH IMAGES, Mohammad Rezaei
TOWARDS SECURITY AWARE CROWDSOURCING, Mingyan Xiao
Effective Sequence Models and Graph Neural Networks for Molecular Data Analysis, Chaochao Yan
LEARNING CAUSAL BOUNDS USING MARGINAL INDEPENDENCE INFORMATION WITH APPLICATIONS TO GENE EXPRESSION ANALYSIS, Borzou Alipourfard
Using antipatterns to improve database code fragments, and utilizing knowledge graphs and NLP patterns to extract standardized data element names, Bader Alshemaimri
Human Behavior Modeling in Long Videos: Drowsiness Detection and Action Segmentation, Reza Ghoddoosian
Efficient Algorithms and Human-in-the-loop Approaches for Attribute Design and Selection, Md Abdus Salam
ROBUST NOISE-BASED ATTACKS AGAINST AUDIO EVENT DETECTION SYSTEMS, Rodrigo Augusto Silva Dos Santos
OPTIMAL UTILITY-BASED TRAFFIC CONTROL FOR DATACENTER NETWORKS, Akshit Singhal
Machine Learning Methods for Statistical Analysis and Representation Learning on Neuroimaging Data, Fan Yang
UNSUPERVISED DOMAIN ADAPTATION WITH DEEP NEURAL NETWORKS, Jinyu Yang
Designing Large-scale Key-value Systems on High-Speed Storage Devices, Xingsheng Zhao
Dissertations from 2021
Translation of Array-based Loop Programs to Optimized SQL-based Distributed Programs, Md Hasanuzzaman Noor
EXTRACTING CLINICAL EVENT SEQUENCE BY USING ASSOCIATION RULE MINING TO PREDICT CLINICAL EVENTS FROM HEALTH RECORDS, Aashara Shrestha
On the Efficacy of Knowledge Graph Completion Methods, Accuracy Measures and Evaluation Protocols, Farahnaz Akrami
MODELING FACTUAL CLAIMS WITH SEMANTIC FRAMES: DEFINITIONS, DATASETS, TOOLS, AND FACT-CHECKING APPLICATIONS, Fatma Arslan
TESTING ARTIFICIAL INTELLIGENCE-BASED SOFTWARE SYSTEMS, Jaganmohan Chandrasekaran
REPRESENTATION AND STRATEGY LEARNING FOR VARIABLE-SIZE TREE TRANSFORMATION USING REINFORCEMENT LEARNING, Shirin Hosseini Shirvani
DOMAIN ADAPTIVE TRANSFER LEARNING FOR VISUAL CLASSIFICATION, Ashiq Imran
MACHINE LEARNING METHODS TO IMPROVE FAIRNESS AND PREDICTION ACCURACY ON LARGESOCIALLY RELEVANT DATASETS, Bhanu Chaturvedi Jain
OPTIMIZING THE DEMAND AND DISTRIBUTION OF POWER IN SMART GRIDS, Saifullah Khalid
DEEP LEARNING METHODS FOR IMAGE RESTORATION AND RECONSTRUCTION, Zahra Anvari
MACHINE LEARNING WITH GRAPHS, Jianjin Deng
ADVANCED ALGORITHMS FOR COMBINATORIAL AND SEQUENTIAL TEST GENERATION WITH CONSTRAINTS, Feng Duan
TOWARDS EFFICIENT TESTING AND DEBUGGING OF EMERGING SOFTWARE APPLICATIONS, Huadong Feng
EXTEND THE SENSING BOUNDARY OF MOBILE SYSTEMS: SECURITY AND NEW APPLICATIONS, Wenqiang Jin
KOPOS: A FRAMEWORK TO STUDY AND DETECT PHYSICAL AND COGNITIVE FATIGUE CONCURRENTLY, Varun Ajay Kanal
HUMAN FACTORS ANALYSIS AND MONITORING TO ENHANCE HUMAN-ROBOT COLLABORATION, Akilesh Rajavenkatanarayanan
AN INTELLIGENT FRAMEWORK TO ASSESS EMBODIED COGNITION FROM PHYSICAL ACTIVITIES IN CHILDREN, Ashwin Ramesh Babu
Dissertations from 2020
Road map generation and feature extraction algorithms from GPS trajectories and Trajectories Data warehousing, Tariq Alsahfi
ADAPTIVE GRAPH CONVOLUTIONAL NEURAL NETWORK AND ITS BIOMEDICAL APPLICATIONS, Ruoyu Li
TAIL LATENCY PREDICTION FOR FORK-JOIN STRUCTURES, Sami Marzook Alesawi
Learning Health Information From Floor Sensor Data Within A Pervasive Smart Home Environment, Nicholas Brent Burns
Computer Vision Methods for Sign Language and Cognitive Evaluation through Physical Tasks, Alex J. Dillhoff
Hand-Over-Face Segmentation, Sakher Ghanem
Efficient Construction and Explanation of Machine Learning Models through Database Techniques, Sona Hasani
Analysis of Complex Data Sets using Multilayer Networks: A Decoupling-based Framework, Abhishek Santra
LEARNING EMBEDDINGS FOR WEARABLE-BASED HUMAN ACTIVITY ANALYSIS, Taoran Sheng
Special Topics in Natural Languague Processing: MWE Indentification, Opinion Question Answering and Summarization, Aishwarya Ashok
Learning Abstractions for Planning, Brian Charles Cook
LEARNING TRANSFERABLE META-POLICIES FOR HIERARCHICAL TASK DECOMPOSITION AND PLANNING COMPOSITION, Predrag Djurdjevic
Efficient Network Design for High Dimensional Data, Xin Miao
FEATURE SELECTION AND DATA RECONSTRUCTION VIA ROBUST AND FLEXIBLE LEARNING MODELS, Di Ming
SEMI-SUPERVISED DEEP LEARNING WITH APPLICATIONS IN SURGICAL VIDEO ANALYSIS AND BIOINFORMATICS, Sheng Wang
DEEP REPRESENTATION LEARNING ON GIGA-PIXEL WHOLE SLIDE IMAGES, Xinliang Zhu
Dissertations from 2019
THINK2ACT: USING MULTIMODAL DATA TO ASSESS HUMAN COGNITIVE AND PHYSICAL PERFORMANCE, Maher Abujelala
SPATIAL SIMILARITY MEASURES WITH APPLICATIONS TO MAP INTEGRATION AND IMPROVING ACCURACY OF MAP DATA SETS, Mousa Alhajlah Almotairi
Feature Extraction In Noise-Diverse Environments For Human Activities Recognition Using Wi-Fi, Sheheryar Arshad
Automated Testing of a Commercial Cyber-Physical System Development Tool Chain, Shafiul Azam Chowdhury
Towards Location Free Movement Recognition with Channel State Information, Chunhai Feng
Deep Representation Learning for Clustering and Domain Adaptation, Mohsen Kheirandishfard
PERFORMANCE MODELING AND RESOURCE PROVISIONING FOR DATA-INTENSIVE APPLICATIONS, Zhongwei Li
LEARNING ROBOT MANIPULATION TASKS VIA OBSERVATION, Michail Theofanidis
COMPUTATIONAL APPROACHES FOR FINDING DISEASE RELATED GENES AND RNAS, Negin Fraidouni
Characterizing and Optimizing the Performance of Virtualized Network Systems in the Cloud, Kun Suo
LEARNING FOR CLINICAL OUTCOME PREDICTION FROM BIG MEDICAL DATA, Jiawen Yao
Understanding and Optimizing Parallel Performance in Multi-tenant Cloud, Yong Zhao
Convex and Non-convex Optimization Methods for Machine Learning, Fariba Zohrizadeh
Learning Representations Using Reinforcement Learning, Sourabh Bose
DESIGNING HIGHLY-EFFICIENT DEDUPLICATION SYSTEMS WITH OPTIMIZED COMPUTATION AND I/O OPERATIONS, Fan Ni
FROM BODY TO BRAIN: USING ARTIFICIAL INTELLIGENCE TO IDENTIFY USER SKILLS & INTENTIONS IN INTERACTIVE SCENARIOS, Michalis Papakostas
N-MODEL METHODOLOGY FOR ENHANCEMENT OF OBJECT-ORIENTED SOFTWARE, Anam Sahoo
Dissertations from 2018
Defending Neural Networks Against Adversarial Examples, Armon Barton
LARGE-SCALE DEEP LEARNING WITH APPLICATION IN MEDICAL IMAGING AND BIO-INFORMATICS, Zheng Xu
Building a Versatile Deduplication System, Zhichao Yan
Artificial Intelligence For Cognitive Behavior Assessment In Children, Srujana Gattupalli
Improving Performance and Security in Anonymity Systems, Mohsen Imani