SUNY Canton Cybersecurity Faculty Authors Book on the Programming Behind AI

A SUNY Canton faculty member peeled back the curtain to reveal the intricate programming behind generative artificial intelligence (AI) platforms.

Mehdi Ghayoumi, Ph.D., an Assistant Professor who teaches Cybersecurity at SUNY Canton, recently published "Generative Adversarial Networks in Practice" with Routledge Taylor and Francis Group. The book offers an in-depth exploration of Generative Adversarial Networks (GANs), blending both foundational theory and practical applications.

“The book is designed to help readers understand and implement GANs,” Mehdi said. “It provides a detailed explanation of GAN approaches and their implementation on popular deep learning platforms, highlighting practical advancements and real-world applications.”

This type of neural network is used for a variety of applications, including machine learning-based image generation, video generation, and text generation in natural language processing. The text navigates through both theoretical aspects and practical scenarios, making it easier for readers to grasp complex concepts and apply them in real-world situations.

The framework functions using a generator, which creates new data designed to look authentic. At the same time, the discriminator interprets the data as real or fake, much like when a person views a photograph for signs of manipulation.

“Dr. Ghayoumi’s book provides a comprehensive guide for anyone interested in GANs,” said SUNY Canton Associate Professor Kambiz Ghazinour who serves as chair of the Cybersecurity Department. “The practical examples deepen the reader's understanding of AI and inspire independent exploration and learning.”

The new text includes hands-on coding examples, which are designed to help users and students develop the skills they need to implement GANs in their projects.

As one of SUNY Canton’s expert faculty members, Ghayoumi has an extensive background in machine learning, machine vision, robotics, human-robot interaction, and privacy. His research focuses on building sophisticated systems designed to meet the challenges of these fields, driving innovation, and fostering an environment conducive to independent learning and research. He is also the author of "Deep Learning in Practice," a book that helps readers develop and optimize models for their projects using Deep Learning methods and architectures.

The Cybersecurity Bachelor of Science program at SUNY Canton prepares students to assess computer and network system security needs, recommend solutions and manage the implementation of security devices. It was selected for the prestigious National Security Agency and Department of Homeland Security Center of Academic Excellence in Cyber Defense in March 2023.