YSU CSIS students and faculty present research at Ohio Supercomputer Center symposium

Students and faculty from Youngstown State University’s Department of Computer Science and Information Systems presented research in artificial intelligence, quantum computing and blockchain security at the 2026 Ohio Supercomputer Center Research Symposium in Columbus.

YSU faculty and students contributed six research poster presentations out of 40 at the statewide event, which featured work from institutions across Ohio. The projects focused on high-performance computing, scalable artificial intelligence, large language models, quantum computing and data security.

Assistant Professor Hailong Jiang presented research examining how large language models can guide compiler optimization decisions. The project explores whether AI-generated reasoning can support optimization strategies beyond traditional compiler heuristics.

Several graduate and undergraduate students presented research under the advisement of CSIS faculty. Bipana Bista, a Master of Computing and Information Systems student advised by Professor Alina Lazar, presented work on scalable machine-learning techniques for particle tracking in high-energy physics experiments.

MCIS student Shreeshtee Dhakal, also advised by Lazar, presented research benchmarking deep-learning architectures for heart disease diagnoses. Her project developed a hybrid model that accurately identifies heart rhythms while highlighting areas of concern within electrocardiograms.

Undergraduate computer science student Sree Sai Charan Vaitla showcased research on scaling AI-based particle track reconstruction using Ohio Supercomputer Center resources to process large datasets efficiently.

MCIS student Raya Jahan, advised by Professor Feng “George” Yu, presented a quantum-enabled framework for assessing errors in large-scale data queries. MCIS student Prasiddha Pokhrel, also advised by Yu, presented research on securing sensitive data using a private blockchain architecture built with Hyperledger Fabric.

The participation of YSU at the symposium was made possible through the computational resources provided by the Ohio Supercomputer Center. The event served as a premier platform for innovation and knowledge-sharing among Ohio's leading academic institutions.

These students’ work represents the ongoing commitment of Youngstown State University to advancing the fields of computer science and information systems through rigorous research and the application of emerging technologies.