Faculty Fellows on Generative AI for Spring 2024
MEREDITH TROUTMAN-JORDAN, PHD, PHMCNS-BC
Professor, Systems Coordinator
Department: School of Nursing, Gerontology
As an AI Fellow, Dr. Troutman-Jordan aims to enhance faculty and student knowledge and skills related to Generative AI. She is interested in helping colleagues gain a greater understanding and ability to use AI in the classroom and capitalize on opportunities related to AI through workshops and mentoring while increasing their awareness of the limitations and consequences of inappropriate use. Dr. Troutman-Jordan believes that generative AI offers endless opportunities for enhancing teaching and that faculty must develop the knowledge and skill to apply AI appropriately in the classroom, with an understanding of its limits.
Meredith Troutman-Jordan, Ph.D., PMHCNS-BC is an American Nurses Credentialing Center certified psychiatric mental health clinical nurse specialist. She received her Ph.D. from the University of South Carolina in 2005. Her clinical experience includes work in inpatient, outpatient, and residential psychiatric mental health, substance abuse treatment, and home health. She has worked primarily with older adults for the past 20 years. Her areas of research include: Healthy Aging, Psychiatric Mental health Nursing/ Family theory, and Caregivers and Individuals with Dementia
MOHAMED SHEHAB, PHD
Professor, Director of Lab of Information Integration Security and Privacy
Department: Software and Information Systems
As an AI Fellow, Dr. Shehab aims to lead a transformative shift in education where Generative AI is a fundamental component of teaching and learning. His vision involves guiding faculty across various disciplines to embrace and effectively utilize Generative AI, and to enhance teaching methods, curricula, and evaluations. A primary focus will be conducting workshops and mentoring sessions to showcase the practical applications of AI in education, including AI-driven brainstorming. Dr. Shehab’s interests include exploring AIʼs potential in automating routine educational tasks and updating assessments, thereby enabling faculty and students to dedicate more time to creative and critical thinking activities.
Dr. Shehab is a Professor of Software and Information Systems Department and the director of the Lab of Information Integration Security and Privacy at UNC Charlotte. He received his Ph.D. in Electrical and Computer Engineering from Purdue University in August 2007. His research and teaching interests are in the broad areas of network and information security. In particular, his research focuses on advancing the state of the art in the design and implementation of distributed access control protocols to cope with the requirements of emerging distributed, Web Services, Mobile Applications, Social Networks, and P2P environments and is also interested in research topics related to security, privacy enhancing technologies, usable security, and human factors. Dr. Shehab has been awarded several NSF awards and a Google research award. He has extensive experience in secure web and mobile application development, and designed and taught the first mobile application development course at UNC Charlotte.