Dissertations from 2023
Utilizing Multi-modal Weak Signals to Improve User Stance Inference in Social Media, T M Miuru Bhashithe Abeysinghe
Perception Intelligence Integrated Vehicle-to-Vehicle Optical Camera Communication., Khadija Ashraf
Hyper-Learning with Deep Artificial Neurons, Brendan Blake Camp
Integration of Misaligned Spatial Data for Evidence-Based Planning and Disaster Risk Assessment, Faris Hawamdeh
Bioinformatics Tools for RNA-seq Data Analysis, Akram Sadat Hosseini
UAS Path Planning for Dynamical Wildfire Monitoring with Uneven Importance, S M Towhidul Islam
Automated Discovery of Candidate Simulation Models for Steering Behavior Simulation, Hai Le
Exploring the utility-privacy trade-off in social media data mining, Guangxi Lu
User-centric privacy preservation in Internet of Things Networks, Akshita Maradapu Vera Venkata Sai
Computational Methods for Assessment and Prediction of Viral Evolutionary and Epidemiological Dynamics, Fatemeh Mohebbi
Towards non-vascular fundus image analysis and disease detection, Saeid Motevali
Privacy-Preserving Deep Learning with Homomorphic Encryption: Addressing Challenges Related to Usability, Memory, and Recurrent Neural Networks, Robert Podschwadt
Expectation Maximization Methods for Metabolic Pathway Analysis, Filipp Rondel
Advancements in Cancer Genomics: Graph-Based Motif Discovery and Single-Cell Analysis, Sayed Hossein Saghaeiannejad Esfahani
An Actor-Centric Approach to Facial Animation Control by Neural Networks For Non-Player Characters in Video Games, Sheldon Schiffer
Towards Privacy Preservation of Federated Learning in Artificial Intelligence of Things, Zuobin Xiong
Privacy-Preserving Deep Learning Mechanisms for Multimedia Data-Oriented Applications, Honghui Xu Ph.D.
On the Analysis of Non-euclidean data: Sparsification, Classification and Generation, Yang Ye
Towards Data Privacy and Utility in the Applications of Graph Neural Networks, Kainan Zhang
Dissertations from 2022
Applying Data Mining Algorithms on Open Source Intelligence to Combat Cyber Crime, Xucan Chen
Towards Complete Ocular Disease Diagnosis in Color Fundus Image, Aashis Khanal
Towards Robust and Interpretable Deep Learning, Xiang Li
Spatio-temporal Deep Learning Architectures for Data-Driven Learning of Brain’s Network Connectivity, Usman Mahmood
Towards General AI using Continual, Active Learning in Large and Few Shot Domains, Jaya Krishna Mandivarapu
Towards Data-centric Artificial Intelligence with Flexible Photorealistic Simulations, Mehdi Mousavi
Service Function Protection in Network Function Virtualization, Chengzong Peng
Deep Interpretability Methods for Neuroimaging, Md Mahfuzur Rahman
Improved Visible Light Communication Receiver Performance by Leveraging the Spatial Dimension, MD Rashed Rahman
When Silver Is As Good As Gold: Using Weak Supervision to Train Machine Learning Models on Social Media Data, Venkata Rukmini Ramya Tekumalla
Image Based Attack and Protection on Secure-Aware Deep Learning, Peng Wang
Hybrid Energy-based Models for Image Generation and Classification, Xiulong Yang
A Measurement Study of Live 360 Video Streaming Systems, Jun Yi
Dissertations from 2021
Machine Learning of Scientific Events: Classification, Detection, and Verification, Azim Ahmadzadeh
Machine Learning Methods for Effectively Discovering Complex Relationships in Graph Data, Thosini K. Bamunu Mudiyanselage
Detection and Prediction of Distributed Denial of Service Attacks using Deep Learning, Christopher Freas
Bioinformatics Methods For Studying Intra-Host and Inter-Host Evolution Of Highly Mutable Viruses, Pelin Burcak Icer
Infant Cry Signal Processing, Analysis, and Classification with Artificial Neural Networks, Chunyan Ji
Methods for Viral Intra-Host and Inter-Host Data Analysis for Next-Generation Sequencing Technologies, Sergey Knyazev
Graph Mining and Its Applications in Online Social Networks, Xueting Liao
Algorithms for analysis of next-generation viral sequencing data, Andrii Melnyk
Visual Analytics Of Sports Data, Shiraj Pokharel
Analyzing Tweets For Predicting Mental Health States Using Data Mining And Machine Learning Algorithms, SUDHA TUSHARA Sadasivuni
Data Efficient Learning: Towards Reducing Risk and Uncertainty of Data Driven Learning Paradigm, Krishanu Sarker
Information retrieval from graphs with feature engineering, Dhara Shah
Algorithms for Analysis of Heterogeneous Cancer and Viral Populations Using High-Throughput Sequencing Data, Viachaslau Tsyvina
Privacy Protection For Visual Data Against Deep Learning Based Computer Vision Models, Jishen Yang
Spam Detection in Social Media With Privacy Protection, Fengpan Zhao
Network Function Virtualization Service Delivery In Future Internet, Danyang Zheng
Privacy Preservation & Security Solutions in Blockchain Network, Saide Zhu
Dissertations from 2020
Advances in Deep Learning through Gradient Amplification and Applications, Sunitha Basodi
Biomedical Data Classification with Improvised Deep Learning Architectures, Heta Desai
Time Series Mining: Shapelet Discovery, Ensembling, and Applications, Soukaina Filali Boubrahimi
Learning Interpretable Features of Graphs and Time Series Data, Shah Muhammad Hamdi
Deep Functional Mapping For Predicting Cancer Outcome, A.K.M. Kamrul Islam
Education Research Using Data Mining and Machine Learning with Computer Science Undergraduates, William Gregory Johnson
Clustering of Time Series Data: Measures, Methods, and Applications, Ruizhe Ma
Deep Architectures for Visual Recognition and Description, Anuja Perunninakulath Parameshwaran
Privacy Preserving User Data Publication In Social Networks, Madhuri Siddula
A Large Scale Deep Learning Application for Protein Structure Prediction and Analysis, Chinua Umoja
Methods for Improving Time and Accuracy in Deep Learning and Its Applications, Xueli Xiao
Dissertations from 2019
Enterprise Data Mining & Machine Learning Framework on Cloud Computing for Investment Platforms, Narasimharao V. Casturi
Collaborative Edge Computing in Mobile Internet of Things, Ravishankar Chamarajnagar
Multicast Aware Virtual Network Embedding in Software Defined Networks, Evrim Guler
Game Theory Based Privacy Protection for Context-Aware Services, Yan Huang
Towards AI-Assisted Disease Diagnosis: Learning Deep Feature Representations for Medical Image Analysis, Jyoti Islam
High Performance Frequent Subgraph Mining on Transactional Datasets, Bismita Jena
A New Scalable, Portable, and Memory-Efficient Predictive Analytics Framework for Predicting Time-to-Event Outcomes in Healthcare, Ramesh Manyam
Animating Predator and Prey Fish Interactions, Sahithi Podila
Dissertations from 2018
A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing, Danial Aghajarian
Incentive Mechanism Design in Mobile Crowdsensing Systems, Zhuojun Duan
Privacy Preserving Data Publishing, Zaobo He
Service Function Graph Design And Embedding In Next Generation Internet, Maryamsadat Jalalitabar
Sparse Coding for Event Tracking and Image Retrieval, Dustin J. Kempton
Privacy Leakage through Sensory Data on Smart Devices, Yi Liang
Manual and Automatic Translation From Sequential to Parallel Programming On Cloud Systems, Bing Li
Data Collection and Aggregation in Mobile Sensing, Ji Li
Assembly, quantification, and downstream analysis for high trhoughput sequencing data, Igor Mandric
Enhancing Automatic Annotation for Optimal Image Retrieval, Mohamed Masoud
Computational Complexity And Algorithms For Dirty Data Evaluation And Repairing, Dongjing Miao
Privacy-Preserved Linkable Social-Physical Data Publication, Xu Zheng
Dissertations from 2017
Methods for Viral Population Analysis, Alexander Artyomenko
Discovery of Spatiotemporal Event Sequences, Berkay Aydin
SiMAMT: A Framework for Strategy-Based Multi-Agent Multi-Team Systems, Dennis Michael Franklin
Analysis of NGS Data from Immune Response and Viral Samples, Ekaterina Gerasimov
Influence Analysis towards Big Social Data, Meng Han
Handling Inconsistency in Knowledge Bases, Badrinath Jayakumar
Towards Data-driven Simulation Modeling for Mobile Agent-based Systems, Nicholas Aiden Keller
Full-View Coverage Problems in Camera Sensor Networks, Chaoyang Li
An Automated System for the Assessment and Ranking of Domain Ontologies, Melinda H. McDaniel
Machine Learning Methods for Finding Textual Features of Depression from Publications, Zhibo Wang
Sequential Monte Carlo Based Data Assimilation Framework and Toolkit for Dynamic System Simulations, Peisheng Wu
Dissertations from 2016
Distributed Graph Storage And Querying System, Janani Balaji
Building Robust Distributed Infrastructure Networks, Brendan Benshoof
Computational Methods for Sequencing and Analysis of Heterogeneous RNA Populations, Olga Glebova
Text and Spatial-Temporal Data Visualization, Xi He
Decentralized Convex Optimization for Wireless Sensor Networks, Goutham Kamath
Content Dissemination in Mobile Social Networks, Chenguang Kong
Multi Domain Semantic Information Retrieval Based on Topic Model, Sanghoon Lee