Simulated analysis of connectivity issues for sleeping sensor nodes in the internet of things. - Tyler Ward; Kirk Martinez; Tim Chown (PE-WASUN, 2014)

The Information Theoretically Efficient Model (ITEM): A model for computerized analysis of large datasets. - Tyler Ward (CoRR, 2014)

Adding Support for Delay Tolerance to IPv6 Networks. - Tyler Ward; Kirk Martinez; Tim Chown (FNC/MobiSPC, 2015)

Autonomous navigation to an RF source in multipath environments. - Tyler Ward; Eduardo L. Pasiliao; John M. Shea; Tan F. Wong (MILCOM, 2016)

Privacy preserving localization using a distributed particle filtering protocol. - Tyler Ward; Joseph I. Choi; Kevin R. B. Butler; John M. Shea; Patrick Traynor; Tan F. Wong (MILCOM, 2017)

A geophone wireless sensor network for investigating glacier stick-slip motion. - Kirk Martinez; Jane K. Hart; Philip James Basford; Graeme M. Bragg; Tyler Ward; David S. Young (Comput. Geosci., 2017)

Reinforcement Learning for Mixed Cooperative/Competitive Dynamic Spectrum Access. - Caleb M. Bowyer; David Greene; Tyler Ward; Marco Menendez; John M. Shea; Tan F. Wong (DySPAN, 2019)

Enclave-based privacy-preserving localization: poster. - Joseph I. Choi; Dave (Jing) Tian; Tyler Ward; Kevin R. B. Butler; Patrick Traynor; John M. Shea; Tan F. Wong (WiSec, 2019)

Implementing the ICE Estimator in Multilayer Perceptron Classifiers. - Tyler Ward (CoRR, 2020)

Privacy-Preserving Localization using Enclaves. - Arslan Khan; Joseph I. Choi; Dave Jing Tian; Tyler Ward; Kevin R. B. Butler; Patrick Traynor; John M. Shea; Tan F. Wong (UEMCON, 2021)

Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method. - Matthew Dixon; Tyler Ward (Entropy, 2021)

Machine Learning Based Pedestrian Detection and Tracking for Autonomous Vehicles. - Tyler Ward; Sherif Rashad; Heba Elgazzar (CCWC, 2023)

Improving the Performance and Stability of TIC and ICE. - Tyler Ward (Entropy, 2023)

Gender-based Detection and Tracking of Child Pedestrians using Machine Learning. - Tyler Ward (ICECET, 2024)

Areas of Improvement for Autonomous Vehicles: A Machine Learning Analysis of Disengagement Reports. - Tyler Ward (CoRR, 2024)

Annotation-Efficient Task Guidance for Medical Segment Anything. - Tyler Ward; Abdullah-Al-Zubaer Imran (ISBI, 2025)

Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks. - Tyler Ward; Abdullah-Al-Zubaer Imran (CoRR, 2025)

Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation. - Tyler Ward; Aaron Moseley; Abdullah-Al-Zubaer Imran (CoRR, 2025)

Detection of Breast Cancer Lumpectomy Margin with SAM-incorporated Forward-Forward Contrastive Learning. - Tyler Ward; Xiaoqin Wang; Braxton McFarland; Md. Atik Ahamed; Sahar Nozad; Talal Arshad; Hafsa Nebbache; Jin Chen; Abdullah-Al-Zubaer Imran (CoRR, 2025)

Autoadaptive Medical Segment Anything Model. - Tyler Ward; Meredith K. Owen; O'Kira Coleman; Brian Noehren; Abdullah-Al-Zubaer Imran (CoRR, 2025)