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Applied AI Institute Faculty

Applied AI Institute Faculty

J. Boudell

Dr. Jere Boudell

Associate Dean of the College of Science Technology Engineering & Mathematics, Professor of Biology

Director, Applied AI Institute

As a technologist and ecologist, Dr. Boudell bridges the two fields by applying artificial intelligence to research and education, leading AI and app development workshops, and organizing hackathons to foster cross-disciplinary innovation. She is also deeply committed to advancing AI literacy and empowering the next generation of scientists and innovators.

Xiangdong An headshot

Dr. Xiangdong An
Assistant Professor of Computer Science and Information Technology

Dr. An’s expertise and interests are in Reasoning Under Uncertainty, Pattern Recognition, & Robotics.

Dr. Shuju Bai

Dr. Shuju Bai
Professor of Computer Science and Information Technology

Dr. Bai is interested in data mining, machine learning, and AI.

Dmitriy Beznosko

Dr. Dmitriy Beznosko
Associate Professor of Astronomy & Physics

Dr. Beznosko has expertise in working with AI for data analysis in high energy physics and using ROOT package for AI creation and training. Additionally, he is working on the adaptations of the locally run AI for the generation of open educational resources (OER) and other class materials and tasks.

 

IKhalillulah

Dr. K M Ibrahim Khalilullah

Lecturer, Department of CSIT

Dr. Khalilullah specializes in Machine Learning and AI, with experience in face recognition, image classification, object detection, multimodal data fusion, and generative AI. He has led both research and applied projects, including DRDBNN for robot navigation, and focuses on practical AI applications while mentoring students in interdisciplinary AI.
 Stephen Kluzsa
 

Dr. Stephen Klusza
Associate Professor of Biology

Dr. Klusza is a developmental geneticist focused on enhancing model organism research through high-quality applied AI workflows. He is developing AI tools to streamline discoveries and experimental design in Drosophila fruit fly research for both faculty and students.

 

Faculty Affiliation Application- Application