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Seed funding reflects how data science, AR/VR will transform research at Rochester : News Center

October 17, 2022

Mujdat Cetin, Director of Robin and Tim Wentworth at the Goergen Institute for Data Science, said: He studies scientific methods and applications, which he believes will lead to important research contributions and attract external funding. (University of Rochester photo/Bob Marcotte)


The university’s Gergen Institute for Data Science supports collaborative projects across all disciplines.

This year, 10 projects supported by seed funding from the Goergen Institute for Data Science explore machine learning, artificial intelligence (AI), augmented and virtual reality (AR/VR), and researchers at the University of Rochester from all disciplines. It shows how we are changing the way we work with challenging problem.

“We are very excited about the wide range of collaborative projects we can support this year,” says Mujidat Setin, director of the Institute’s Robin and Tim Wentworth.. “These projects address important and timely questions in data science methods and applications, and we believe they will lead to important research contributions and attract external funding.”

Prizes of approximately $20,000 each will help researchers produce satisfactory proof-of-concept results and attract major external funding.

This year’s projects include collaborations between engineers, computer scientists, historians, biostatisticians, and experts in brain and cognitive sciences, earth and environmental sciences, and palliative care. Their projects include a whole new kind of computing platform, new virtual reality technology to improve doctor-patient conversations and help people overcome color blindness, making it easier for people to add music to their videos, AR / Includes machine learning techniques to power the extension. A VR immersive experience based on the unique geometry of each user’s anatomy.

The 2022–23 funded projects and their main researchers are:

  • Ising Boltzmann Substrate for Energy-Based Models
    Co-Principal Investigator: michael fanProfessor of Electrical and Computer Engineering and Computer Science, and Gonzalo MateosAssociate Professor of Electrical and Computer Engineering and Computer Science, and Asaro Bigger Family Fellow of Data Science
  • A Data-Driven, Virtual Reality-Based Approach to Improve Color Blindness
    Co-Principal Investigator: JugyokuhaoAssistant Professor of Computer Science, and Gaurav SharmaProfessor of Electrical and Computer Engineering, Computer Science, Biostatistics and Computational Biology
  • Audiovisual Integration in Virtual Reality Renderings of Real Physical Spaces
    Co-Principal Investigator: Duje TadinProfessor and Chair of Brain and Cognitive Sciences, Professor of Ophthalmology and Neuroscience. Minlan Lee, Associate Professor of Electrical and Computer Engineering.When Michael JarvisAssociate Professor of History
  • Personalized, immersive spatial audio using physics-based neural fields
    Co-Principal Investigator: Duan ZiyaoAssociate Professor of Electrical and Computer Engineering and Computer Science, and Mark BochcoDistinguished Professor of Electrical and Computer Engineering and Professor of Physics and Astronomy
  • Computational Earth Imaging with Machine Learning
    Co-Principal Investigator: Torrope OrgbojiAssistant Professor of Earth and Environmental Sciences, and Mujdat SetinProfessor of Electrical and Computer Engineering and Computer Science, Director of Robin and Tim Wentworth’s Goergen Institute for Data Science
  • Improving Deconvolution Estimation with Bayesian Shrinkage
    PIs: Matthew McCallAssociate Professor of Biostatistics
  • Construction of a Multistage Common Sense Reasoning System for Story Understanding
    Co-Principal Investigator: Jen ByeAssistant Professor of Computer Science, and Renhard SchubertProfessor of Computer Science
  • Versatile and customizable virtual patient for improved doctor-patient communication
    Co-Principal Investigator: athan hawkAssociate Professor of Computer Science, and Ronald EpsteinProfessor of Family Medicine and Palliative Care
  • Machine Learning Assisted Femtosecond Laser Fabrication of Efficient Solar Absorbers
    Co-Principal Investigator: Guo ChunleiProfessor of Optics, and Jebo LuoAlbert Arendt Hopeman Professor of Engineering
    Generating video background music with awareness of rhythm and emotion
    PIs: Luo JieboAlbert Arendt Hopeman Professor of Engineering

Learn more about each of the 2022-23 funded projects here.


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tag: Art Science and Engineering, Data Science, Brain and Cognitive Science, Computer Science, Electrical and Computer Engineering, History, Physics and Astronomy, Gergen Institute for Data Science, Research Funding

Category: Science and technology

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