Computer and Data Sciences Faculty, Staff, Student Scholarship
This collection holds the creative and scholarly works of the Department of Computer and Data Sciences' faculty, staff, and students. It includes scholarly content such as journal articles, book chapters, conference papers, etc.
Submissions from 2024
CRADLE Explorer: CASFER Interactive Platform for Data and Model Visualization, Olatunde D. Akanbi, Vibha S. Mandayam, Haiping Ai, Arafath Nihar, Erika I. Barcelos, Laura S. Bruckman, Jeffrey Yarus, Yinghui Wu, Huichun (Judy) Zhang, and Roger H. French
Big Geospatiotemporal Data Approaches to Monitoring and Mitigating Environmental Impacts in Agriculture, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, Arafath Nihar, Yinghui Wu, Jeffrey Yarus, and Roger H. French
Geospatial Analysis of Precipitation Data and River Networks Using Satellite Imagery, Vibha S. Mandayam, Olatunde D. Akanbi, Ethan Tobey, Adaezeogo Ezeogo-Enwo, Hyangmok Baek, Atharva Gupta, Laura S. Bruckman, Erika I. Barcelos, and Roger H. French
Extreme Value Statistics Analysis of Process Defects in Additive Manufacturing Materials, Ayorinde E. Olatunde, Kristen Hernandez, Austin Ngo, Arafath Nihar, Thomas G. Ciardi, Rachel Yamamoto, Pawan K. Tripathi, Roger H. French, John J. Lewandowski, and Anirban Mondal
Uncertainty Analysis in Machine Learning Models, Ayorinde E. Olatunde, Weiqi Yue, Pawan K. Tripathi, Roger H. French, and Anirban Mondal
Uncertainty Quantification in Machine Learning Models Via Gaussian Process Regression: A Comparative Study, Ayorinde E. Olatunde, Weiqi Yue, Pawan K. Tripathi, Roger H. French, and Anirban Mondal
FAIRification of Geospatial Data, Attiksh Ansool Panda, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, and Roger H. French
Geospatial Analysis of Hydrologic Nitrogen in Ohio Using Terrain Ruggedness Index (TRI) and Terrain Position Index (TPI), Shreyas N. Rajagopalan, Olatunde D. Akanbi, Vibha S. Mandayam, Erika I. Barcelos, and Roger H. French
Knowledge Management of Historical Data: Ontology Development for Chemical Reactions, Quynh D. Tran, Alexander Harding Bradley, Balashanmuga Priyan Rajamohan, Jonathan E. Gordon, Van D. Tran, Kiefer Lin, Erika I. Barcelos, Laura S. Bruckman, and Roger H. French
Knowledge Management and Semantic Reasoning: Ontology and Information Theory Enable the Construction of Knowledge Bases and Knowledge Graphs, Quynh D. Tran, Ozan Dernek, Erika I. Barcelos, Laura S. Bruckman, and Roger H. French
Materials Data Science Ontology (MDS-Onto): Unifying Domain Knowledge in Materials and Applied Data Science, Van D. Tran, Jonathan E. Gordon, Alexander Harding Bradley, Balashanmuga Priyan Rajamohan, Quynh D. Tran, Gabriel Ponón, Yinghui Wu, Laura S. Bruckman, Erika I. Barcelos, and Roger H. French
Submissions from 2023
Data Collection and HPC Ingestion of Historical Satellite Images from IBM Pairs GeoScope, Olatunde D. Akanbi, Brian Gonzalez Hernandez, Erika I. Barcelos, Laura S. Bruckman, Jeffrey Yarus, and Roger H. French
Crop Monitoring and Nutrient Prediction Using Satellite Imagery and Soil Data, Olatunde D. Akanbi, Brian Gonzalez Hernandez, Erika I. Barcelos, Arafath Nihar, Laura S. Bruckman, Yinghui Wu, Jeffrey Yarus, and Roger H. French
Statistical Analysis and Degradation Pathway Modeling of Photovoltaic Minimodules with Varied Packaging Strategies, Sameera Nalin Venkat, Xuanji Yu, Jiqi Liu, Jakob Wegmueller, Jayvic Cristian Jimenez, Erika I. Barcelos, Hein Htet Aung, Roger H. French, and Laura S. Bruckman
Prediction of Kinase-Substrate Associations Using The Functional Landscape of Kinases and Phosphorylation Sites, Serhan Yilmaz, Filipa Blasco Tavares Pereira Lopes, Mark R. Chance, and Mehmet Koyutürk
Submissions from 2022
Consensus Embedding for Multiple Networks: Computation and Applications, Mengzhen Li and Mehmet Koyutürk
Submissions from 2021
Robust Inference of Kinase Activity Using Functional Networks, Serhan Yılmaz, Daniela M. Schlatzer, Mark R. Chance, and Mehmet Koyutürk
Submissions from 2019
CoPhosK: A Method for Comprehensive Kinase Substrate Annotation Using Co-Phosphorylation Analysis, Marzieh Ayati, Danica D. Wiredja, Daniela M. Schlatzer, Sean Maxwell, Ming Li, Mehmet Koyutürk, and Mark R. Chance
Submissions from 2015
MOBAS: Identification of Disease-Associated Protein Subnetworks Using Modularity-Based Scoring, Marzieh Ayati, Sinan Erten, Mark R. Chance, and Mehmet Koyutürk
Submissions from 2012
Gene, Pathway and Network Frameworks to Identify Epistatic Interactions of Single Nucleotide Polymorphisms Derived from GWAS Data, Yu Liu, Sean Maxwell, Tao Feng, Xiaofeng Zhu, Robert C. Elston, Mehmet Koyutürk, and Mark R. Chance
Nuclear Shape of ER+ Breast Tumor Whole Slide Images Predict Recurrence and Survival, Daniel Shao
AvatarAudiometer: An Online Simulation Platform for Pure-tone Audiometry, Daniel Weidman and Lauren Calandruccio
An All-In-One NLP Stock Market Backtester, Shaochen Zhong, Jiaqi Yu, and Mocun Ye
Submissions from 2010
Long Range Interactions in Nanoscale Science, Roger H. French
Van Der Waals-London Dispersion Interaction Framework for Experimentally Realistic Carbon Nanotube Systems, Roger H. French
An Integrative -omics Approach to Identify Functional Sub-Networks in Human Colorectal Cancer, Rod K. Nibbe, Mehmet Koyutürk, and Mark R. Chance
Prediction and testing of biological networks underlying intestinal cancer, Vishal N. Patel, Gurkan Bebek, and Mark R. Chance
Submissions from 2009
Submissions from 2007
Calculating van der Waals-London Dispersion Spectra and Hamaker Coefficients of Carbon Nanotubes in Water from Ab Initio Optical Properties, Roger H. French
Submissions from 2006
Graded Interface Models for More Accurate Determination of van Der Waals-London Dispersion Interactions across Grain Boundaries, Roger H. French
Nonadditivity in van Der Waals Interactions within Multilayers, Roger H. French
Submissions from 2004
Local Optical Properties, Electron Densities, and London Dispersion Energies of Atomically Structured Grain Boundaries, Roger H. French