Seed funding reflects how data science, AR/VR transform research at Rochester - University of Rochester

October 17, 2022

"I’m precise excited astir the wide scope of collaborative projects we are capable to enactment this year,” says Mujdat Cetin, the Robin and Tim Wentworth Director of the Goergen Institute for Data Science. “These projects tackle important and timely problems connected information subject methods and applications, and I americium assured they volition pb to important probe contributions and pull outer funding." (University of Rochester photograph / Bob Marcotte)

The University’s Goergen Institute for Data Science supports collaborative projects crossed each disciplines.

Ten projects supported with effect backing from the Goergen Institute for Data Science this twelvemonth show however instrumentality learning, artificial quality (AI), and augmented and virtual world (AR/VR) are transforming the mode University of Rochester researchers—across each disciplines—address challenging problems.

“I’m precise excited astir the wide scope of collaborative projects we are capable to enactment this year,” says Mujdat Cetin, the Robin and Tim Wentworth Director of the institute. “These projects tackle important and timely problems connected information subject methods and applications, and I americium assured they volition pb to important probe contributions and pull outer funding.”

The awards, astir $20,000 each, assistance researchers make capable proof-of-concept findings to past pull large outer funding.

This year’s projects impact collaborations among engineers, machine scientists, a historian, a biostatistician, and experts successful encephalon and cognitive sciences, world and biology science, and palliative care. Their projects see a wholly caller benignant of computing platform, caller virtual world technologies to amended doctor-patient conversations and assistance radical flooded colour imaginativeness deficiency, and instrumentality learning techniques to marque it easier for radical to adhd euphony to their videos and to heighten AR/VR immersive experiences based connected the unsocial geometry of each user’s anatomy.

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

• Ising Boltzmann Substrate for Energy-Based Models
  Co-PIs: Michael Huang, prof of electrical and machine engineering and of machine science, and Gonzalo Mateos, subordinate prof of electrical and machine engineering and of machine subject and the Asaro Biggar Family Fellow successful Data Science
• A Data-Driven, Virtual Reality-based Approach to Enhance Deficient Color Vision
  Co-PIs: Yuhao Zhu, adjunct prof of machine science, and Gaurav Sharma, prof of electrical and machine engineering, of machine science, and of biostatistics and computational biology
• Audiovisual Integration successful Virtual Reality Renderings of Real Physical Spaces
  Co-PIs: Duje Tadin, prof and seat of encephalon and cognitive sciences and prof of ophthalmology and of neuroscience; Ming-Lun Lee, subordinate prof of electrical and machine engineering; and Michael Jarvis, subordinate prof of history
• Personalized Immersive Spatial Audio with Physics Informed Neural Field
  Co-PIs: Zhiyao Duan, subordinate prof of electrical and machine engineering and of machine science, and Mark Bocko, Distinguished Professor of Electrical and Computer Engineering and prof of physics and astronomy
• Computational Earth Imaging with Machine Learning
  Co-PIs: Tolulope Olugboji, adjunct prof of world and biology sciences, and Mujdat Cetin, prof of electrical and machine engineering and of machine science, and the Robin and Tim Wentworth Director of the Goergen Institute for Data Science
• Improving Deconvolution Estimates done Bayesian Shrinkage
  PI: Matthew McCall, subordinate prof of biostatistics
• Building a Multi-Step Commonsense Reasoning System for Story Understanding
  Co-PIs: Zhen Bai, adjunct prof of machine science, and Lenhart Schubert, prof of machine science
• Versatile and Customizable Virtual Patients to Improve Doctor-Patient Communication
  Co-PIs: Ehsan Hoque, subordinate prof of machine science, and Ronald Epstein, prof of household medicine and palliative care
• Machine Learning Assisted Femtosecond Laser Fabrication of Efficient Solar Absorbers
  Co-PIs: Chunlei Guo, prof of optics, and Jiebo Luo, Albert Arendt Hopeman Professor of Engineering
  Rhythm-Aware and Emotion-Aware Video Background Music Generation
  PI: Jiebo Luo, Albert Arendt Hopeman Professor of Engineering

Find much accusation astir each of the 2022–23 funded projects.

Read more

Tags: Arts Sciences and Engineering, data science, Department of Brain and Cognitive Sciences, Department of Computer Science, Department of Electrical and Computer Engineering, Department of History, Department of Physics and Astronomy, Goergen Institute for Data Science, research funding

Category: Science & Technology