Graduate Students

DOCTOR OF PHILOSOPHY IN COMPUTATIONAL SCIENCES AND INFORMATICS   

Harold John Walbert (Summer 2021)
Agents, Networks and Empirical Data: Agent-based Modeling for Understanding Inter-country and Intra-country Dynamics

John Leung (Spring 2021)
Emotion Aware Recommender System

Gideon Gogovi (Fall 2020) 
Polymers and Biomolecules in Solvents: A Molecular Dynamics Study

William Lamberti (Fall 2020)
Algorithms to Improve Analysis and Classification for Small Data

Yijun Wei (Fall 2020)
An Advanced Artificial Intelligence System for Investigating the Tropical Cyclone Rapid Intensification

Christine Harvey (Fall 2019) 
Modeling, Simulation, and Analysis of the US Organ Transplant System

Thomas P. Boggs (Spring 2019)
Probabilistic Topic Modeling for Hyperspectral Image Classification

Suchismita Goswami (Spring 2019)        
Network Neighborhood Analysis for Detecting Anomalies in Time Series of Graphs

Douglas Reitz (Fall 2018) 
Atomistic Monte Carlo Simulation and Machine Learning Data Analysis of Eutectic Alkali Metal Alloys

Yang Xiaoxu (Fall 2018) 
Almost Regular Graphs and Hamiltonian Cycles

Karl Battams (Summer 2018)
Reduction and Synopses of Multi-Scale Time Series with Applications to Massive Solar Data

Muhammed Baqui (Spring 2018)
Automated Monitoring of High Density Crowd Events

Erukulla Gautami (Spring 2018) 
Coupled Dynamic Analysis of Moored Wave Energy Converters in Waves

John Rigsby (Spring 2018)
Automated Storytelling: Generating and Evaluating Story Chains

Patrick Dandenault (Summer 2017)
Characterization of Thermospheric Neutral Winds Using Empirical Modeling and Observational Validation

Joel Mejeur (Fall 2017)
Function Space Nonlinear Rescaling Methods for Elliptic Control Problems with Point-wise State and Control Constraints

Daniel Pulido (Fall 2017)
Self-Similar Spin Images for Point Cloud Matching

Daniel Sponseller (Fall 2017)
Molecular Dynamics Study of Polymers and Atomic Clusters

Jeffrey Stevens (Fall 2017)
New Methods of Spectral-Density Based Graph Construction and Their Application to Hyperspectral Image Analysis

John Keady (Fall 2016) 
Acoustic Resonance Disruption of Microspheres and E. coli

Andrew Sharp (Fall 2016)
Multi-dimensional Evolutionary Algorithms for Training Neural Networks with Heterogeneous Architectures in Pricing of American Style Options

Victoir Veibell (Fall 2016)
Statistical Modeling of Earth's Plasmasphere

Shea Hess Weber (Fall 2016)
Coronal holes and solar f-mode wave scattering off linear boundaries

Benjamin Hess (Summer 2016)
Geolocation Visualization and Language Detection with Linked Micromaps Applications

Michael Garrity (Spring 2016)
Representing Blogger Influence on Issue Sentiment and Opinion as an Epidemic Model

Sean Haight (Spring 2016) 
An anisotropic and asymmetric material model for simulation of metals under dynamic loading

Edward Herranz (Spring 2016) 
New Unit Root Tests to Decrease Spurious Results with Applications in Finance and Temperature Anomalies

Michelle Isenhour (Spring 2016) 
Simulating Occupant Response to Emergency Situations

Erika Jones (Spring 2016)
Quantum-Inspired Toolkit

Nader Shahni Karamzadeh (Spring 2016)
Machine Learning Approaches to Provide Spatio-Temporal Characterization of Human Brain Functional Activities

Nishu Karna (Spring 2016)
A comprehensive study of cavities on the sun: Structure, formation, and evolution

Robert Reznik (Spring 2016)
Electric field effects on single and small networks of neurons

Gary Roberson (Spring 2016)
Recommender Systems – Interest Graph Computational Methods for Document Networks

Andrew Sharp (Spring 2016)
Multi-dimensional evolutionary algorithms for training neural networks with heterogeneous architectures in pricing of American style options

Arun Vedachalam (Spring 2016)
Surprise Discovery in Scientific Databases: A Framework for Data Intensive Science Utilizing the Power of Citizen Science

Robert Winkler (Spring 2016)
The Formation and Sustainability of Labor Substitution Patterns: An Agent-Based Organization Model with Autonomous Skill Allocation, Endogenous Specialization, and Entropy Exploitation

Philip Hess (Fall 2015)
Understanding the evolution and propagation of coronal mass ejections and associated plasma sheaths in interplanetary space

Jonathan Lisic (Fall 2015) 
Parcel level agricultural land cover prediction

Mohammed Sikder (Fall 2015)
Development of Regional Crops Forecasting Model Integrating Satellite Remote
Sensing with the Localized EPIC Crops Forecasting Model.

DOCTOR OF PHILOSOPHY IN COMPUTATIONAL SOCIAL SCIENCES

James Andrews (Spring 2021)
Modeling and Simulation of Polymeric Macromolecules

Carmen Iasiello (Spring 2021)
An Agent-Based Modeling Approach for a Human Resource Management

Brandon Shapiro (Spring 2021)
Kinetic Action and Radicalization:  Theory, Data and Model

Yang Zhou (Spring 2021)
Exploring Human Activities in Cities Through Data and Model

Annetta Burger (Fall 2020)
Disaster Through the Lens of Complex Adaptive Systems: Exploring Emergent Groups Utilizing Agent Based Modeling and Social Networks

Paul Cummings (Fall 2020) 
A Hybrid Machine Learning and Agent-Based Modeling Approach to Examine Decision-Making Heuristics

Talha Oz (Fall 2020)
Collective Stress in the Digital Age

Melanie Richey (Fall 2020)
Scalable Agent-Based Modeling of Forced Migration

Melanie Swartz (Summer 2020)
Exploring Symbolic Representation of Identity and Collective Behavior in Social Media: Emoji Use in Twitter

Xiaoyi Yuan (Summer 2020)
Geo-Textual Data Analytics: Exploring Places and Their Connections

Seyed Mussavi (Spring 2020)
A Multiagent Model of the Success and Failure of Development Aid Projects in the Post-2001 Counterinsurgency in Afghanistan

Chun-Yi Yang (Fall 2019)
The Formation and Sustainability of Labor Substitution Patterns Within and Across Tasks: An Agent-Based Organization Model with Autonomous Skill Allocation and Endogenous Specialization Crafted by Entropy Exploitation

Thomas Pike (Summer 2019)
Standardizing Complexity: Doctrine and Computation for Integrated Campaigning

Ross Schuchard (Summer 2019)
Examining Adaptation in Complex Online Social Systems

Gary Keith Bogle (Spring 2019)    
Polity Cycling in Great Zimbabwe via Agent-Based Modeling: The Effects of Timing and Magnitude of External Factors

E. André L'Huillier M (Spring 2019)        
Blockbuster Emergence in Entertainment Platform Markets:  Modeling the History of the Video Game Industry in North America

John Bjorn Nelson (Spring 2019) 
A Computational Model of Belief System Construction and Expression with Applications to American Democracy

Matthew Oldham (Spring 2019)
The Utilization of Computational Social Science for the Benefit of Finance

Joseph Shaheen (Fall 2018)
Data Explorations in Firm Dynamics: Firm Birth, Life, & Death through Age, Wage, Size & Labor

Shawn Bucholtz (Fall 2017)
The Washington, D.C. Housing Affordability Simulator

Elaine Reed (Fall 2017)
The Emergence of Self-governance Institutions: Agent-based Simulation of Game Theoretic Models of Democratization

Peter Revay (Fall 2017) 
The Effects of Dual Inheritance Mechanisms of Cultural Evolution on Emergent Social Networks

Karl Selke (Fall 2017)
RealLand: A Wargaming Approach to Computational International Relations

Kevin Comer (Spring 2017) 
Patients, Premiums, and Public Policy: Modeling Health Insurance Markets using Agent Computing

Jonathan Goldstein (Spring 2017) 
Rethinking Housing with Agent-Based Models: Models of the Housing Bubble and Crash in the Washington DC Area 1997-2009

Meysam Alizadeh (Fall 2016)
Essays on the Drivers of Political and Ideological Extremism

Joseph Harrison (Fall 2016)
A General Social Agent-Based Model of Opinion Dynamics with Applications to STEM Education and Radicalization

Chenna Reddy Cotla (Summer 2016)
Social Preferences, Learning, and the Dynamics of Cooperation in Networked Societies: A Dialogue Between Experimental and Computational Approaches

Thomas Dover (Spring 2016)
Implementing a Complex Social Simulation of the Violent Offending Process: The Promise of a Synthetic Offender

David Masad (Spring 2016)
Agents in Conflict: Comparative Agent-Based Modeling of International Crises and Conflicts

Hugh McFarlane (Spring 2016)
An Agent Based Model of Community Authority Structure Resilience

Cristina Metgher (Spring 2016)
A Computational Social Science Approach to the Social Determinants of Cancer

Holly Russo (Spring 2016)
Explaining Box Office Performance From the Bottom Up: Data, Theories and Models

Stephen Scott (Spring 2016)
Computational modeling for marine resource management

Hyungsik Shin (Spring 2016)
An Essay on Micro Heterogeneity and the Evolution of Inequality

Nathan Palmer (Fall 2015) 
Individual and Social Learning: An Implementation of Bounded Rationality from First Principles

Ernesto Carrello (Spring 2015)
Modeling Adaptive Economic Agents with PID Controllers

Bianica Pires (Summer 2014)
When People Rebel: A Computational Approach to Violent Collective Action

Wayne Zandbergen (Summer 2014)
Essays on the Panic of 1893 - Lessons from Helena, Montana

Omar Guerrero  (2013)
Coupled Dynamics of Labor and Firms through Complex Networks

Aaron Frank (Fall 2012) 
Agent-Based Modeling in Intelligence Analysis

Anamaria Berea (Spring 2012)
Essays in High-impact Companies and High-impact Entrepreneurship

Kim Bloomquist (Spring 2012)
Agent-based Simulation of Tax Reporting Compliance

Maciej Latek (2011)
On Bounded Rationality in Multi-Agent Environments