As of 2014, all newly submitted Graduate Center dissertations and theses appear in Academic Works shortly after graduation. Some works are immediately available to read and download, and some become available after an embargo period set by the author. Dissertations and theses from before 2014 are generally accessible only to the CUNY community, but some authors have chosen to make theirs open access.

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Dissertations from 2024

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Deep Learning-Based Human Action Understanding in Videos, Elahe Vahdani

Dissertations from 2023

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Out-of-Distribution Generalization of Deep Learning to Illuminate Dark Protein Functional Space, Tian Cai

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Performance Modeling for Network Anomaly Detection and Sensor Networks, Jie Chu

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Accelerating Parameter Identifiability of Differential Models with Applications to Parameter Estimation, Ilia Ilmer

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Evaluation of Symmetric Functions and Boolean Functions over Stochastic Input, Naifeng Liu

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Structural Anomaly Detection, Shoufu Luo

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Cost-Effective and Performance-Preserving Secured Application Management in Cloud Environments, Minh Nguyen

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Transformation and Abstraction to Aid Comparison of Binary Executables Across Compilation Environments, Jeremy D. Seideman

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Optimization and Application of Graph Neural Networks, Shuo Zhang

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Resource Management in Mobile Edge Computing for Compute-intensive Application, Xiaojie Zhang

Dissertations from 2022

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Representation Learning for Chemical Activity Predictions, Mohamed S. Ayed

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Grammar Competition Explored in Two Case Studies: The Null Subject Stage in English-Speaking Children and the Variation Observed in Old English, Soumik Dey

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Coded Matrix Multiplication, Xiaodi Fan

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Finite Gaussian Neurons: Defending Against Adversarial Attacks by Making Neural Networks Say "I Don’t Know", Felix Grezes

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Influence Level Prediction on Social Media through Multi-Task and Sociolinguistic User Characteristics Modeling, Denys Katerenchuk

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Witness-Authenticated Key Exchange, Kelsey G. Melissaris

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An Analysis of the Friendship Paradox and Derived Sampling Methods, Yitzchak Novick

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Deception Detection Across Domains, Languages and Modalities, Subhadarshi Panda

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Coded Distributed Function Computation, Pedro J. Soto

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Data-Centric Machine Learning for Speech and Audio, Ali Raza Syed

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Identifying, Evaluating and Applying Importance Maps for Speech, Viet Anh Trinh

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On the Cryptographic Deniability of the Signal Protocol, Nihal Vatandas

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Towards Explaining Variation in Entrainment, Andreas Weise

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BiTRDF: Extending RDF for BiTemporal Data, Di Wu

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Distributed Partitioning and Processing of Large Spatial Datasets, Ayman I. Zeidan

Dissertations from 2021

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The Impact of User Control and Transparency in App Design on Privacy Concerns and Behavior of Mobile App Users, Arwa Alawajy

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A New Feature Selection Method Based on Class Association Rule, Sami A. Al-Dhaheri

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Mechanism Design and Modeling to Analyze Complex Social Systems for Public Policy, Haripriya Chakraborty

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Solving Multiple Inference in Graphical Models, Cong Chen

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Piecewise Linear Manifold Clustering, Artyom Diky

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Adversarial Training for Skill Learning in a Mobile Robot, Todd W. Flyr

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Learn Biologically Meaningful Representation with Transfer Learning, Di He

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Efficient Protocols for Multi-Party Computation, Tahereh Jafarikhah

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Learning Deep Visual Features from Limited Labeled Data, Longlong Jing

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Metareasoning, Opportunistic Exploration, and Explanations for Autonomous Indoor Navigation, Raj Korpan

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Logics of Resource and Justification, Hirohiko Kushida

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Speech Enhancement Using Speech Synthesis Techniques, Soumi Maiti

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Modeling and Analysis of Affiliation Networks with Subsumption, Alexey Nikolaev

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3D Object Detection, Instance Segmentation and Classification from 3D Range and 2D Color Images, Xiaoke Shen

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Towards Automated Software Evolution of Data-Intensive Applications, Yiming Tang

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Applying Deep Learning on Financial Sentiment Analysis, Cuiyuan Wang

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Novel Hybrid Resampling Algorithms for Parallel/Distributed Particle Filters, Xudong Zhang

Dissertations from 2020

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New Approaches to Frequent and Incremental Frequent Pattern Mining, Mehmet Bicer

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Role of Influence in Complex Networks, Nur Dean

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Unclonable Secret Keys, Marios Georgiou

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A Semi-Automated Approach to Medical Image Segmentation using Conditional Random Field Inference, Yu-chi Hu

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Robust Neural Machine Translation, Abdul Rafae Khan

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Novel Fast Algorithms For Low Rank Matrix Approximation, John T. Svadlenka

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Valid Time RDF, Hsien-Tseng Wang

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Set Operators, Xiaojin Ye

Dissertations from 2019

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Online Learning and Planning for Crowd-aware Service Robot Navigation, Anoop Aroor

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Culture Clubs: Processing Speech by Deriving and Exploiting Linguistic Subcultures, David Guy Brizan

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Using Transfer Learning in Network Markets, Kai Cai

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A Mobile Cyber-Physical System Framework for Aiding People with Visual Impairment, Martin Goldberg

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A Purely Defeasible Argumentation Framework, Zimi Li

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Efficient Private Information Retrieval, Konstantinos Nikolopoulos

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Understanding Human Cognitive Control via fMRI Analysis, Xiuyan Ni

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Semi-supervised Regression with Generative Adversarial Networks Using Minimal Labeled Data, Greg Olmschenk

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Analysis of a Group of Automorphisms of a Free Group as a Platform for Conjugacy-Based Group Cryptography, Pavel Shostak

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Deep Learning Based Medical Image Analysis with Limited Data, Jiaxing Tan

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An Evolutionary Perspective on Foraging Strategies and Group Dynamics in Bio-Social Inspired Cognitive Radio Networks, Anna Wisniewska

Dissertations from 2018

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Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and Biomedical Sensors, Farnaz Abtahi

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Service Quality Assessment for Cloud-based Distributed Data Services, Arun Adiththan

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Personality Recognition For Deception Detection, Guozhen An

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List, Sample, and Count, Ali Assarpour

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Rationality and Efficient Verifiable Computation, Matteo Campanelli

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Gradient Estimation for Attractor Networks, Thomas Flynn

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Re-Architecting Mass Storage Input/Output for Performance and Efficiency, Robert Gezelter

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Vision-based Assistive Indoor Localization, Feng Hu

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Enhancing 3D Visual Odometry with Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo

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Adaptation and Augmentation: Towards Better Rescoring Strategies for Automatic Speech Recognition and Spoken Term Detection, Min Ma

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Collaborative Appearance-Based Place Recognition and Improving Place Recognition Using Detection of Dynamic Objects, Juan Pablo Munoz

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Relating Justification Logic Modality and Type Theory in Curry–Howard Fashion, Konstantinos Pouliasis

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Private-Key Fully Homomorphic Encryption for Private Classification of Medical Data, Alexander N. Wood

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Object Localization, Segmentation, and Classification in 3D Images, Allan Zelener

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Domain-Specific Knowledge Exploration with Ontology Hierarchical Re-Ranking and Adaptive Learning and Extension, Grace G. Zhao

Dissertations from 2017

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A Combinatorial Framework for Multiple RNA Interaction Prediction, Syed Ali Ahmed

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Machine Learning Algorithms for Automated Satellite Snow and Sea Ice Detection, George Bonev

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Morphogenesis and Growth Driven by Selection of Dynamical Properties, Yuri Cantor

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Solving Algorithmic Problems in Finitely Presented Groups via Machine Learning, Jonathan Gryak

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Secure and Efficient Delegation of a Single and Multiple Exponentiations to a Single Malicious Server, Matluba Khodjaeva

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Feature Selection From Large Acoustic Feature Sets in Computational Paralinguistics, Dara Pir

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Approximation Algorithms for Effective Team Formation, George Rabanca

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Machine Learning Approach to Retrieving Physical Variables from Remotely Sensed Data, Fazlul Shahriar

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Travel Mode Identification with Smartphone Sensors, Xing Su

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Exploring the Internal Statistics: Single Image Super-Resolution, Completion and Captioning, Yang Xian

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In Search of Homo Sociologicus, Yunqi Xue

Dissertations from 2016

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Computerized Classification of Surface Spikes in Three-Dimensional Electron Microscopic Reconstructions of Viruses, Younes Benkarroum

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A Study of the Impact of Interaction Mechanisms and Population Diversity in Evolutionary Multiagent Systems, Sadat U. Chowdhury

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Scale Up Bayesian Network Learning, Xiannian Fan

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Data-Driven Synthesis and Evaluation of Syntactic Facial Expressions in American Sign Language Animation, Hernisa Kacorri

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GIVE-ME: Gamification In Virtual Environments for Multimodal Evaluation - A Framework, Wai L. Khoo

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Epistemic Considerations on Extensive-Form Games, Cagil Tasdemir

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Efficient Location Privacy In Mobile Applications, Erald Troja

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Large-Scale Spatial Data Management on Modern Parallel and Distributed Platforms, Simin You

Dissertations from 2015

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Interactions and Complexity in Multi-Agent Justification Logic, Antonios Achilleos

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Toward an Argumentation-based Dialogue framework for Human-Robot Collaboration, Mohammad Quamrul Azhar

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Data Monitoring and Analysis in Wireless Networks, Yongjie Cai

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Quadratic Discriminant Analysis Revisited, Wenbo Cao

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Knowledge Discovery and Prediction Modeling of Protein-Drug Binding Kinetic by Integrating Machine Learning, Normal Mode Analysis and Molecular Dynamics Simulation, See Hong Chiu