Master’s Theses in Computer Science

Selected master’s theses from the past several years:

Roy, Mrinmoy (2022). CovidAlert - A Wristwatch-Based System to Alert Users from Face Touching. Advisor: Pratool Bharti.

Pillutla, Bhama Krishna (2022). Monitoring Plants Growth in Indoor Vertical Farms Using Computer Vision and AI Techniques. Advisor: Pratool Bharti.

Rahman, Ashiqur (2022). Modeling and Visualization of Long-Term Public Opinion on COVID-19 Vaccine. Advisor: Hamed Alhoori.

Shaikh, Abdul Rahman (2022). Modeling the Broader Impact of Science and Health Using Social Media. Advisor: Hamed Alhoori.

Welford, Michael Andrew (2022). A Study of Mutations in Sars-CoV-2 Genomes. Advisor: Minmei Hou.

Lewis, Ryan D. (2021). Log Analysis and Visualization of HPC Application Performance Data. Advisor: Michael Papka.

Seethi, Venkata Devesh Reddy (2021). CNN-Based Speed Detection Algorithm for Walking and Running Using Wrist-Worn Wearable Sensors. Advisor: Pratool Bharti.

Chandra, Priyanjani C. (2020). An Automated Method for Detecting Water Levels Using Computer Vision and Artificial Intelligence. Advisor: Michael Papka.

Freeman, Curtis (2020). The Emotions of Science: Using Social Media to Gauge Public Emotions Toward Research Topics. Advisor: Hamed Alhoori.

Syed, Mohammed Murtuza Shahzad (2020). Development of Machine Learning Models to Predict the Online Impact of Research. Advisor: Hamed Alhoori

Akella, Akhil Pandey (2019). Using Machine Learning Models to Discover Promising Research. Advisor: Hamed Alhoori.

Kanti Roy, Mrinal (2019). A Survey of Big Data Tools and Technologies. Advisor: Michael Papka.

Upadhyay, Ankita (2019). Visualization of Large Time-Dependent Multidimensional Datasets Using Information Dashboards. Advisor: Michael Papka.

Jasti, Manohar Sai (2019). Using Reinforcement Learning in a Simulated Intelligent Tutoring System. Advisor: Reva Freedman.

Fain, Ashli (2018). Using Semantic and Pragmatic Information to Determine Syntactic Decisions in Translation of the Passive Voice from English to French. Advisor: Reva Freedman.

Gupta, Vishrant Krishna (2018). Efficiently Comparing Mental Representations: Visualizing and Matching Causal Networks. Advisor: Reva Freedman.

Kale, Bharat K. (2018). Visualization of Large Diverse Collections of Scholarly Output. Advisor: Michael E. Papka.

Lavin, Eric (2018). Assessing and supporting the use of fuzzy cognitive maps to simulate complex phenomena. Advisor: Philippe J. Giabbanelli.

Siravuri, Harish Varma (2018). Assessment of Societal Impact of Research. Advisor: Hamed Alhoori.

Baniukiewicz, Magda (2017). Analyzing, simulating, and visualizing complex social systems. Advisor: Philippe J. Giabbanelli.

Boley, Joshua (2017). An Adaptive Approach to Optimizing QoS Throughputs in Software Defined Networks. Advisor: Nicholas T. Karonis.

Pillutla, Venkata Sai Sriram (2017). Helping users learn about social processes while learning from users: developing a positive feedback in social computing. Advisor: Philippe J. Giabbanelli.

Wright, Melissa (2017). Natural Language Processing and Syntactic Differentiation: A Corpus Case Study. Co-advisors: Gülşat Aygen and Reva Freedman.

Sanders, Jonathan W. (2016). Automatic machine learning-guided methods for 3D synapse quantification in confocal neuron images. Advisor: Jie Zhou.

 

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815-753-0378