
معرفی
Dr. Andy D. Digh serves as Professor of Computer Science and Co-Chair of the Computer Science Department at Mercer University's College of Liberal Arts and Sciences. He has taught and mentored students since 1998 while coaching the Binary Bears programming team and previously directing the first-year integrative seminar (INT 101) from 2015-2019.
His educational credentials include:
- Ph.D. in Education from University of Tennessee, Knoxville
- M.S. in Computer Science from University of Tennessee, Knoxville
- B.A. in Mathematics (with Honors) from University of North Carolina at Asheville
Dr. Digh's research bridges theoretical and applied computer science with educational innovation. His primary focus spans artificial intelligence, algorithms, and human-computer interaction, with specialized expertise in genetic algorithms and theoretical mathematics. He actively develops instructional technology frameworks to transform computer science pedagogy, emphasizing authentic learning experiences that connect abstract concepts to real-world applications through writing, speech, and competitive programming.
His publication portfolio reveals a consistent trajectory toward enhancing computer science education through AI integration. Recent works examine machine writing's impact on learning, CNN optimization techniques, and evidence-based teaching strategies for AI courses. A recurring theme involves developing multimodal communication skills within technical curricula while maintaining rigorous algorithmic foundations.
His scientific recognition includes:
- Joe and Jean Hendricks Award for Excellence in Teaching (2019)
As an academic advisor and coach, Dr. Digh has shaped competitive programming teams and mentored students through the Binary Bears initiative. His leadership extended to designing the INT 101 seminar framework, demonstrating commitment to holistic undergraduate development beyond technical instruction.
He maintains active involvement with the Binary Bears programming competition team, providing strategic guidance for national contests while fostering collaborative problem-solving skills.





