Center Director Lonnie Welch is engaged in collaborative genomic research with the Institute for Molecular Medicine and Aging to develop algorithms that could lead to a cure for diabetes.
Center for Scientific Computing and Immersive Technologies
Center for Scientific Computing and Immersive Technologies
From today’s medical imaging technologies to tomorrow’s supercomputers, the Center for Scientific Computing and Immersive Technologies conducts basic research to develop new applications and advancements in information technology.
Our researchers explore new theories and practices in bioinformatics, medical image analysis, high-performance computing, machine learning and data mining, and immersive learning technologies. Developments in these rapidly changing fields are incorporated into our undergraduate and graduate programs within the Russ College of Engineering and Technology’s School of Electrical Engineering and Computer Science so that our work can also inspire the next generation of engineers and technologists to create for good.
Research Areas We Focus On
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Medical Image Analysis
Advancements are being explored by Dr. Jundong Liu, who is using images to help measure and study brain differences in patients with Alzheimer’s or Parkinson’s disease.
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High-Performance Computing
Dr. Avinash Karanth is designing an exascale computer that generates a fraction of the heat and processes data thousands of times faster than the world’s current supercomputers.
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Machine Learning, Pattern Recognition, Data Mining
Dr. Razvan Bunescu's work focuses on developing new applications of these computational processes to medical diagnostic tools and improving the underlying systems that support them.
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Immersive Learning Technologies
Modern computer technologies, like three-dimensional graphics and virtual reality, offer immersive experience for users. Dr. Chang Liu is developing some of these learning technologies and programs.
Recent Faculty and Student News
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Ph.D. Student Co-Authors IEEE Award-Winning PaperZachary Takacs' paper, “Quantum Integrated Photonic Network-on-Chip for Manycore Architectures,” showed how silicon photonics can support secure quantum communication between cores inside a chip and won an IEEE Quantum Week 2025 best paper award.
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NSF Grant Fund Quantum Design Physical Property Measurement SystemWojciech Jadwisienczak’s group received an NSF $422,783 grant to fund a Quantum Design Physical Property Measurement System (PPMS), an automated instrument for electrical, magnetic and optical measurements.
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Ohio University joins the Midwest Semiconductor NetworkOhio University joined universities and colleges in Ohio, Michigan, Illinois and Indiana to form a coalition, the Midwest Regional Network, to address national needs in semiconductor and microelectronics.