OSC Research Symposium

The Ohio Supercomputer Center (OSC) will host its annual Research Symposium on Wednesday, April 15, 2026, to showcase how faculty, staff, students, and industry are using high performance computing resources (HPC) to advance research, education, and innovation in a variety of fields. 

Benefits of Participation

•    Present posters and give short talks
•    Learn about new developments in HPC
•    Discuss outcomes of research and educational initiatives 
•    Connect with others in the HPC community
•    Meet potential collaborators
•    Provide valuable feedback to OSC staff 

New for 2026: AI Workshop Opportunity

The OSC Research Symposium will be held in conjunction with the National Science Foundation (NSF) ACCESS Regional Workshop on artificial intelligence (AI) at the Fawcett Center on The Ohio State University’s campus. 

The co-located event will allow Research Symposium participants to take advantage of a unique opportunity to attend a free workshop designed to help researchers, educators, and students learn how to integrate AI tools in research and classroom settings in a rapidly changing landscape.

The Research Symposium is free and open to all. Complimentary continental breakfast, lunch, and free parking will be offered to all presenters and in-person attendees. Virtual attendees may view the morning AI sessions and afternoon talks.

In-person registration will close at noon on Monday, April 6, 2026. Virtual registration will close at noon on Sunday, April 12, 2026. The link to join the event virtually will be sent prior to the event.

Research Symposium registration is limited to 130 attendees.

Agenda and Presenter Information 

• 9 a.m.: Check in and continental breakfast
   
• 9:30 a.m. - 11:30 a.m.: Morning joint AI workshop / Research Symposium content
   
  • 9:30 - 9:45 a.m.:  Intro / Overview
     
  • 9:45 - 10:30 a.m.:  Keynote, Tim Huerta, Professor of Family Medicine, CRIO & Associate Dean for Research Information Technology, Ohio State College of Medicine and Wexner Medical Center
     
  • 10:30 - 11:30 a.m.:  Education/Ethics panel, led by Basil Masri Zada, Assistant Professor of Instruction, Digital Art + Technology, Ohio University, with Josette Riep, Assistant Vice President of Integrated Data, Engineering & Application Services, University of Cincinnati, and Melinda Rhodes, Director of the Center for Teaching, Learning, and Assessment, Ohio University 
     
• 11:30 a.m. - 12:30 p.m.: Lunch
   
• 12:30 p.m. - 2 p.m.: OSC Research Symposium Poster Session
  
  Jinsoo Ahn, The Ohio State University, An imprinting gene cluster at the porcine CRSP complex locus defines a species-specific imprinted domain
  
  Bipana Bista, Youngstown State University, Scalable Metric Learning for Particle Tracking: A Distributed Data Parallelism Study of Hit Embedding
  
  Shreeshtee Dhakal, Youngstown State University, Benchmarking Deep Learning Architectures for ECG Classification Using Ohio Supercomputer Center HPC Resources
  
  Daniel Egbuzie, The Ohio State University, Uncertainty-Aware Prediction of Environmentally Assisted Crack Growth Using Machine Learning
  
  Andrew Engel, The Ohio State University, Towards Uncertainty Quantification with Continuous Piecewise Linear Networks
  
  Ikramul Hasan, The Ohio State University, Approximate Bayesian Spatiotemporal Deep Learning Model for Reliable Mapping of Mining-Induced LULC Dynamics
  
  Abrar Hossain, The University of Toledo, Bandwidth Allocation for Heterogeneous HPC
  
  Raya Jahan, Youngstown State University, A Quantum-Enabled Error Assessment Framework for Approximate Query Processing
  
  Hailong Jiang, Youngstown State University, LLM-Guided Reasoning for Compiler Intermediate Representation Optimization
  
  Rohith Krishnan Sudha, The Ohio State University, Benchmarking Modern GPU Computing Frameworks for the Efficient Extraction of Flow Acoustics
  
  Eugene Lee, University of Cincinnati, Learning to Select Visual In-Context Demonstrations
  
  Junhao Liu, The Ohio State University, Mapping Differential RNA Editing Regions in 3′UTRs from Lung Cancer to Pan-Cancer Analysis
  
  Youwei Liu, The Ohio State University, Catch the ghost! Neutrino simulation for RNO-G detector in Greenland
  
  Amelia McLaren, Indiana Biosciences Research Institute, Human Transferrin Receptor Bispecific TREM2 Antibody Creation and Its Insightful Use in Alzheimer’s Disease
  
  Aaron Meade, The Ohio State University, Reconstruction of Simulated ANITA III Neutrino Events Using Convolutional Neural Networks
  
  Nebiyou Mengistu, The College of Wooster, Machine Learning for Predicting Maximum Proton Energy in Laser-Proton Acceleration Experiments
  
  Shelby Moshier, The Ohio State University, Not too hot, not too cold: developing an adaptive cooling schedule for PICL
  
  Sultana Nahar, The Ohio State University, Simulated Multi-wavelengths Spectra of Fe-peak Elements, Ti, Cr, Mn, for Astrophysical Line Diagnostics and modeling
  
  Seungyeon Oh, The Ohio State University, Accelerating RL-based Optimal Control Via HPC
  
  Ahmed Paridie, PE, Utilizing OSC for a Theoretical Framework for Particles-Fluid Interactions
  
  Prasiddha Pokhrel, Youngstown State University, Secured Approximate Query Processing Empowered by Private Blockchain
  
  H Rainak Khan Real, The Ohio State University, Deep Learning-based monitoring of seasonal forest dynamics and fragmentation in Chittagong Hill Tracts of Bangladesh
  
  James Riddell, The Ohio State University, ClassyVir: A Multimodal AI Platform for Virus Taxonomy From Realm to Species
  
  Zoe Riesen, The Ohio State University, Machine Learning Analysis for Neutrino Event Reconstruction
  
  José Sanabria-Gracia, The Ohio State University, From Synthetic Complexes to Metalloenzymes: DFT Bridging Theory and Experiment in Transition Metal Chemistry
  
  Keval Bharatbhai Suthar, The University of Toledo, Thermophysical and Surface Property-Driven Machine Learning for Critical Heat Flux Prediction in Pool Boiling
  
  Sree Sai Charan Vaitla, Youngstown State University, Scaling AI-Based Particle Track Reconstruction with High-Performance Computing on the TrackML Dataset
  
  Mingyi Xu, The Ohio State University, [O III] line ratios and evolution of oxygen abundance with redshift using JWST-VLT-Keck observations
   
• 2 p.m. - 3:30 p.m.: OSC Research Symposium Brief Bytes (short talks)
  
  Umar Islambekov, Bowling Green State University, TDAvec: An R Package for Computing Vector Summaries of Persistence Diagrams for Topological Data Analysis
  
  Godstand Aimiuwu, The Ohio State University, Scalable Manufacturing of CsPbBr3 Perovskite Nanoparticle Using Jet Mixing Reactor With Inline Spectroscopic Measurements
  
  Aaron Sathyanesan, University of Dayton, An AI/ML approach enables precise identification of cerebellar deficits in mouse models of neurodevelopmental disorders
  
  Hwihyeon Kang, The Ohio State University, Optimizing Semiconductor Bloch Equation Solvers Using Artificial Intelligence
  
  Ziyang Song, Ohio University, Build Trustworthy Large Language Models in Healthcare Through Expert Knowledge
  
  Dominic Wilson, University of Findlay, Scaling AI Security Pedagogy: From Local Labs to HPC-Enabled Red Teaming
   
• 3:30 p.m. - 3:45 p.m.: Break
   
• 3:45 p.m. - 5:15 p.m.: OSC Research Symposium Brief Bytes (short talks)
   

  Abdul Rehman Akbar, The Ohio State University, Deep Learning on Routine Histopathology Enables One-Year Survival Prediction in Pancreatic Ductal Adenocarcinoma
  
  Patrick Collins, The Ohio State University, Teaching molecular immunology graduate students computational analysis with web assembly to bridge learning gaps
  
  Zhongning Deng, The Ohio State University, Classifying Transposable Elements with Deep Learning
  
  Joyce Lee, The Ohio State University, Most Important Predictors of Father-Child Contact in the U.S. Child Welfare System: Random Forest Modeling
  
  Christoph Weigel, The Ohio State University, Profiling human DNA methylomes reveals epigenetic layouts of human herpesvirus-6 as a viral disease biomarker
  
  Divya Chari, The Ohio State University, Temperature-density effects on atomic cross sections in high-energy-density plasmas
   

Proposal submission guidelines

What topics can be submitted?  

Anything related to computational science, including (but not limited to): 

• Domain-specific research project approaches and results 
• Usage details of OSC or non-OSC research computing resources 
• Research computing training, education, or workforce development 
• Software development 

What presentation formats are allowed? 

• Proposals for five- to 10-minute talks, in person only.  
• Poster presentations for an in-person poster session at the event. Accepted posters can be printed in-house at OSC, if file provided by April 1. 
• If you would like to present in a different format, please indicate your interest on the submission form. OSC staff will review and respond to your request. 

Who can submit?  

• Students, researchers, clinicians, faculty, staff, industry partners 
• Academic, nonprofit, and government institutions, private sector organizations

How to submit

Please submit your Research Symposium proposals through our presentation portal. Submissions are due prior to 11:59 p.m. (EST) on Sunday, March 8, 2026. Notifications of acceptance will be sent by Monday, March 16, 2026. 

All presented research will be curated into a comprehensive set of published proceedings. This document will ensure credibility and visibility among peers, institutions and industry professionals, opening doors for networking and collaboration opportunities. 

View the list of 2025 presentations and 2024 list of presentations in our archives.