Computer Science Search Committee

Title:

Abstract:

In this talk, I will discuss the areas in computer and information sciences, which currently seem to offer the best opportunities for the professional development and employment, such as AI and ML, Big data, cybersecurity, and our work therein. I will start with a brief analysis of the US Bureau of Labor statistics to find out the computing fields forecasted to experience the most significant growth, and then will define our data centric approach integrating informatics and cyberinfrastructure in research aimed at the improvement of real-life ML applications of foundational models in various domains.

In the second part, I will review our research, intersecting domains of cybersecurity, AI, and Data and Information Science, and our products in the area of intelligent security systems. I will talk about our investigation of the relationship between the data quality and the performance of ML-based applications and our methods and tools of improving their robustness, which we want to attract your attention to and seek your collaboration in further development.

Also, I will present my new textbook “Intelligent security systems: How artificial intelligence, machine learning and data science work for and against computer security” that was published this year by IEEE Press – Wiley&Sons. The book along with other curriculum materials are designated to facilitate the preparation and delivery of the college course in computer science, security, IT and information systems.  This book merges together various knowledge areas as diverse as AI and ML techniques and computer security systems and applications. It will allow instilling into students a distinctive knowledge in these very intense domains.

Bio:

Leon Reznik is a Professor of Computer Science and the founding member of the ESL Global Cybersecurity Institute at the Rochester Institute of Technology, New York, USA.  Prof. Reznik is an author of the textbook “Fuzzy Controllers” (Elsevier-Butterworth-Heinemann, Oxford, 1997), an editor of three research volumes and an author/co-author of more than 170 research papers. His new textbook “Intelligent security systems: How artificial intelligence, machine learning and data science work for and against computer security” was released by IEEE Press – Wiley&Sons in 2022. He teaches classes in the areas of ML & AI and cybersecurity.

Dr. Reznik’s research concentrates on study and development of intelligent data analytics, sensor networks and systems as well as cybersecurity. His current research interests include neural networks and federated learning; data quality and security evaluation and assurance; intelligent intrusion detection in cyber-physical systems; cognitive sensor networks and systems. Dr. Reznik serves as an Associate Editor of the ACM Journal of Data and Information Quality.