Visualization and Natural Control Systems for Microscopy. - Russell M. Taylor II; David Borland; Frederick P. Brooks Jr.; Mike Falvo; Kevin Jeffay; Melissa Gail Jones; David Marshburn; Stergios J. Papadakis; Lu-Chang Qin; Adam Seeger; F. Donelson Smith; Diane H. Sonnenwald; et al. (The Visualization Handbook, 2005)

SINN: Shepard Interpolation Neural Networks. - Phillip Williams (ISVC (2), 2016)

Deep Convolutional-Shepard Interpolation Neural Networks for Image Classification Tasks. - Kaleb E. Smith; Phillip Williams; Tatsanee Chaiya; Max Ble (ICIAR, 2018)

Time Series Classification with Shallow Learning Shepard Interpolation Neural Networks. - Kaleb E. Smith; Phillip Williams (ICISP, 2018)

Shepard Interpolation Neural Networks with K-Means: A Shallow Learning Method for Time Series Classification. - Kaleb E. Smith; Phillip Williams; Kaylen J. Bryan; Mitchell Solomon; Max Ble; Rana Haber (IJCNN, 2018)

A Shallow Learning - Reduced Data Approach for Image Classification. - Kaleb E. Smith; Phillip Williams (Canadian AI, 2019)

Security Taxonomy in IoT - A Survey. - Phillip Williams; Pablo Rojas; Magdy A. Bayoumi (MWSCAS, 2019)

IoT based Efficient Epileptic Seizure Prediction System Using Deep Learning. - Hisham G. Daoud; Phillip Williams; Magdy A. Bayoumi (WF-IoT, 2020)

Memory-based Arbiter PUF: A Novel Highly Reliable and Scalable Strong PUF Design. - Haytham Idriss; Tarek A. Idriss; Phillip Williams; Magdy A. Bayoumi (WF-IoT, 2020)

Security Aspects of Internet of Things - A Survey. - Phillip Williams; Indira Kalyan Dutta; Hisham G. Daoud; Magdy A. Bayoumi (WF-IoT, 2020)

Mc-PUF: Memory-based and Machine Learning Resilient Strong PUF for Device Authentication in Internet of Things. - Phillip Williams; Haytham Idriss; Magdy A. Bayoumi (CSR, 2021)

A survey on security in internet of things with a focus on the impact of emerging technologies. - Phillip Williams; Indira Kaylan Dutta; Hisham G. Daoud; Magdy A. Bayoumi (Internet Things, 2022)