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Dissertations from 2024

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Mitigating Class Imbalance in Time Series Classification via Generative Modeling, Yang Chen

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Methods of Discrete Optimization and Machine Learning for the Analysis of Heterogeneous Genomic Populations, Kiril Kuzmin

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Towards Pruning and Parameter Efficient Fine-tuning of Deep Neural Networks, Yang Li

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Designing Methods for Representation Learning of Molecular Sequences and its Application in Analysis Tasks, Taslim Murad

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Imaging Genetic Prediction of Cognition and Symptoms in Both Small and Big Cohorts, Pranav Nadigapu Suresh

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Efficient Algorithms for Large Scale Analysis of Viral Genome Sequencing Data, Daniel Novikov

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Efficient Privacy-Preserving Machine Learning: From Training Neural Networks to Fine-Tuning Large Language Models, Prajwal Panzade

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Trustworthy Artificial Intelligence in the NLP Domain: Designing Efficient Adversarial Attacks and Generating Robust Text Representations, Javad Rafiei Asl

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Computational Downstream Analysis of High-Throughput RNA-Sequencing Data, Bikram Sahoo

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Hypergraph Learning: From Algorithms to Applications, Khaled Mohammed Saifuddin

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Towards High-Fidelity Digital Twins in Internet of Things, Chenyu Wang

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Copyright and Data Privacy Protection for Generative Adversarial Networks Application, Bingyi Xie

Dissertations from 2023

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Utilizing Multi-modal Weak Signals to Improve User Stance Inference in Social Media, T M Miuru Bhashithe Abeysinghe

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Perception Intelligence Integrated Vehicle-to-Vehicle Optical Camera Communication., Khadija Ashraf

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Hyper-Learning with Deep Artificial Neurons, Brendan Blake Camp

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Integration of Misaligned Spatial Data for Evidence-Based Planning and Disaster Risk Assessment, Faris Hawamdeh

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Bioinformatics Tools for RNA-seq Data Analysis, Akram Sadat Hosseini

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UAS Path Planning for Dynamical Wildfire Monitoring with Uneven Importance, S M Towhidul Islam

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Automated Discovery of Candidate Simulation Models for Steering Behavior Simulation, Hai Le

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Exploring the utility-privacy trade-off in social media data mining, Guangxi Lu

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User-centric privacy preservation in Internet of Things Networks, Akshita Maradapu Vera Venkata Sai

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Computational Methods for Assessment and Prediction of Viral Evolutionary and Epidemiological Dynamics, Fatemeh Mohebbi

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Towards non-vascular fundus image analysis and disease detection, Saeid Motevali

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Privacy-Preserving Deep Learning with Homomorphic Encryption: Addressing Challenges Related to Usability, Memory, and Recurrent Neural Networks, Robert Podschwadt

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Expectation Maximization Methods for Metabolic Pathway Analysis, Filipp Rondel

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Advancements in Cancer Genomics: Graph-Based Motif Discovery and Single-Cell Analysis, Sayed Hossein Saghaeiannejad Esfahani

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An Actor-Centric Approach to Facial Animation Control by Neural Networks For Non-Player Characters in Video Games, Sheldon Schiffer

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Towards Privacy Preservation of Federated Learning in Artificial Intelligence of Things, Zuobin Xiong

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Privacy-Preserving Deep Learning Mechanisms for Multimedia Data-Oriented Applications, Honghui Xu Ph.D.

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On the Analysis of Non-euclidean data: Sparsification, Classification and Generation, Yang Ye

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Towards Data Privacy and Utility in the Applications of Graph Neural Networks, Kainan Zhang

Dissertations from 2022

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Applying Data Mining Algorithms on Open Source Intelligence to Combat Cyber Crime, Xucan Chen

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Towards Complete Ocular Disease Diagnosis in Color Fundus Image, Aashis Khanal

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Towards Robust and Interpretable Deep Learning, Xiang Li

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Spatio-temporal Deep Learning Architectures for Data-Driven Learning of Brain’s Network Connectivity, Usman Mahmood

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Towards General AI using Continual, Active Learning in Large and Few Shot Domains, Jaya Krishna Mandivarapu

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Towards Data-centric Artificial Intelligence with Flexible Photorealistic Simulations, Mehdi Mousavi

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Service Function Protection in Network Function Virtualization, Chengzong Peng

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Deep Interpretability Methods for Neuroimaging, Md Mahfuzur Rahman

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Improved Visible Light Communication Receiver Performance by Leveraging the Spatial Dimension, MD Rashed Rahman

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When Silver Is As Good As Gold: Using Weak Supervision to Train Machine Learning Models on Social Media Data, Venkata Rukmini Ramya Tekumalla

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Image Based Attack and Protection on Secure-Aware Deep Learning, Peng Wang

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Hybrid Energy-based Models for Image Generation and Classification, Xiulong Yang

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A Measurement Study of Live 360 Video Streaming Systems, Jun Yi

Dissertations from 2021

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Machine Learning of Scientific Events: Classification, Detection, and Verification, Azim Ahmadzadeh

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Machine Learning Methods for Effectively Discovering Complex Relationships in Graph Data, Thosini K. Bamunu Mudiyanselage

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Detection and Prediction of Distributed Denial of Service Attacks using Deep Learning, Christopher Freas

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Bioinformatics Methods For Studying Intra-Host and Inter-Host Evolution Of Highly Mutable Viruses, Pelin Burcak Icer

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Infant Cry Signal Processing, Analysis, and Classification with Artificial Neural Networks, Chunyan Ji

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Methods for Viral Intra-Host and Inter-Host Data Analysis for Next-Generation Sequencing Technologies, Sergey Knyazev

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Graph Mining and Its Applications in Online Social Networks, Xueting Liao

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Algorithms for analysis of next-generation viral sequencing data, Andrii Melnyk

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Visual Analytics Of Sports Data, Shiraj Pokharel

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Analyzing Tweets For Predicting Mental Health States Using Data Mining And Machine Learning Algorithms, SUDHA TUSHARA Sadasivuni

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Data Efficient Learning: Towards Reducing Risk and Uncertainty of Data Driven Learning Paradigm, Krishanu Sarker

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Information retrieval from graphs with feature engineering, Dhara Shah

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Algorithms for Analysis of Heterogeneous Cancer and Viral Populations Using High-Throughput Sequencing Data, Viachaslau Tsyvina

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Privacy Protection For Visual Data Against Deep Learning Based Computer Vision Models, Jishen Yang

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Spam Detection in Social Media With Privacy Protection, Fengpan Zhao

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Network Function Virtualization Service Delivery In Future Internet, Danyang Zheng

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Privacy Preservation & Security Solutions in Blockchain Network, Saide Zhu

Dissertations from 2020

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Advances in Deep Learning through Gradient Amplification and Applications, Sunitha Basodi

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Biomedical Data Classification with Improvised Deep Learning Architectures, Heta Desai

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Time Series Mining: Shapelet Discovery, Ensembling, and Applications, Soukaina Filali Boubrahimi

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Learning Interpretable Features of Graphs and Time Series Data, Shah Muhammad Hamdi

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Deep Functional Mapping For Predicting Cancer Outcome, A.K.M. Kamrul Islam

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Education Research Using Data Mining and Machine Learning with Computer Science Undergraduates, William Gregory Johnson

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Clustering of Time Series Data: Measures, Methods, and Applications, Ruizhe Ma

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Deep Architectures for Visual Recognition and Description, Anuja Perunninakulath Parameshwaran

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Privacy Preserving User Data Publication In Social Networks, Madhuri Siddula

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A Large Scale Deep Learning Application for Protein Structure Prediction and Analysis, Chinua Umoja

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Methods for Improving Time and Accuracy in Deep Learning and Its Applications, Xueli Xiao

Dissertations from 2019

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Enterprise Data Mining & Machine Learning Framework on Cloud Computing for Investment Platforms, Narasimharao V. Casturi

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Collaborative Edge Computing in Mobile Internet of Things, Ravishankar Chamarajnagar

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Multicast Aware Virtual Network Embedding in Software Defined Networks, Evrim Guler

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Game Theory Based Privacy Protection for Context-Aware Services, Yan Huang

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Towards AI-Assisted Disease Diagnosis: Learning Deep Feature Representations for Medical Image Analysis, Jyoti Islam

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High Performance Frequent Subgraph Mining on Transactional Datasets, Bismita Jena

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A New Scalable, Portable, and Memory-Efficient Predictive Analytics Framework for Predicting Time-to-Event Outcomes in Healthcare, Ramesh Manyam

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Animating Predator and Prey Fish Interactions, Sahithi Podila

Dissertations from 2018

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A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing, Danial Aghajarian

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Incentive Mechanism Design in Mobile Crowdsensing Systems, Zhuojun Duan

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Privacy Preserving Data Publishing, Zaobo He

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Service Function Graph Design And Embedding In Next Generation Internet, Maryamsadat Jalalitabar

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Sparse Coding for Event Tracking and Image Retrieval, Dustin J. Kempton

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Privacy Leakage through Sensory Data on Smart Devices, Yi Liang

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Manual and Automatic Translation From Sequential to Parallel Programming On Cloud Systems, Bing Li

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Data Collection and Aggregation in Mobile Sensing, Ji Li

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Assembly, quantification, and downstream analysis for high trhoughput sequencing data, Igor Mandric

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Enhancing Automatic Annotation for Optimal Image Retrieval, Mohamed Masoud

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Computational Complexity And Algorithms For Dirty Data Evaluation And Repairing, Dongjing Miao

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Privacy-Preserved Linkable Social-Physical Data Publication, Xu Zheng

Dissertations from 2017

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Methods for Viral Population Analysis, Alexander Artyomenko

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Discovery of Spatiotemporal Event Sequences, Berkay Aydin

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SiMAMT: A Framework for Strategy-Based Multi-Agent Multi-Team Systems, Dennis Michael Franklin

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Analysis of NGS Data from Immune Response and Viral Samples, Ekaterina Gerasimov

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Influence Analysis towards Big Social Data, Meng Han

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Handling Inconsistency in Knowledge Bases, Badrinath Jayakumar

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Towards Data-driven Simulation Modeling for Mobile Agent-based Systems, Nicholas Aiden Keller

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Full-View Coverage Problems in Camera Sensor Networks, Chaoyang Li