GenAI in Instruction and High Performance Computing
Please join us for a webinar/panel discussion on the use of GenAI in instruction and its applications to HPC. The session will be held on May 12, 2026 at 11:30 AM EDT, 3:30 GMT.
The panel will provide an overview of several topics related to the use of GenAI in instruction. Professor Arvind Bansal from Kent State University will discuss his Masters program in Artificial Intelligence and how HPC is integrated into instruction.
Basil Masri Zada from Ohio University will discuss his teaching to integrate generative AI into art studio practice, with a strong emphasis on critical issues such as authorship, ethics, ownership, and intellectual property, using open-source and open-weight tools hosted on HPC.
Connor Kenyon will provide an overview of an HPC course and the impacts of GenAI on instruction. He will present the challenges of introducting HPC to students without restricting AI usage.
Steven Gordon will summarize the results of an international survey on the impacts of GenAI in programming instruction. The survey of approximately 500 faculty reflects their concerns relating to learning outcomes and adjustments to assessment and instruction to address those concerns.
Speakers Biographies
Professor Arvind Bansal is a professor in Computer Science at Kent State University. He has contributed in multiple research areas such as Artificial Intelligence including massive parallel artificial intelligence; logic programming; multimedia languages; algorithms and data mining in microbial bioinformatics and proteomics; social robotics; medical health informatics. Lately, he has been working on applying artificial intelligence and deep learning, using Ohio Supercomputer Center resources, in medical diagnostics of structural aberration of heart in cardiac abnormalities, diagnosing renal cancer, and understanding disease related miRNA-mRNA interactions.
Basil Masri Zada, Assistant Professor of Instruction, Digital Art + Technology at Ohio University, is a transdisciplinary, cross-cultural scholar-artist, activist, Fulbright alumni, educator, curator, art administrator, and digital arts, technologies, and museum professional. His teaching and research integrate generative AI into studio practice, with a strong emphasis on critical issues such as authorship, ethics, ownership, and intellectual property, using open-source and open-weight tools hosted on HPC.
Connor Kenyon is a full-time Research Computing Facilitator at the University of Massachusetts Dartmouth. He has previously been a student facilitator for both Unity and UMass Dartmouth. His research interests are Numerical Relativity, Ocean Modeling, Computational Performance Evaluation, and Low cost HPC. He is currently finishing his PhD in Engineering and Applied Science at UMass Dartmouth working on projects in black hole physics and ocean modeling.
Dr. Steven Gordon is Professor Emeritus in City and Regional Planning at The Ohio State University and was formerly the Senior Education Specialist at the Ohio Supercomputer Center. He also served as the Interim Executive Director of OSC for three years and the Senior Director of Education and Client Services. Dr. Gordon led the education program of the Extreme Science and Engineering Discovery Environment (XSEDE) program from 2011-2016 and managed the Blue Waters Graduate Fellowship Program. He has served as the founding chair of the SIGHPC Education chapter. He also represents SIGHPC on the ACM Education Advisory Committee.