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Current CoE-funded Projects

The CoE proudly sponsors the research of faculty and partner companies. The Center’s funding allows researchers to produce innovative and visionary approaches to data science in a variety of areas and industries. We currently are funding these partnerships and are looking forward to seeing the results of the research and the positive economic impact that it will have on New York State and the world of data science.

Headshot Photo of Zhiyao DuanZhiyao Duan is working with IngenID

Mark Bocko Headshot PhotoMark Bocko, Distinguished Professor, Electrical and Computer Engineering
Professor, Physics and Astronomy
Director, Center for Emerging and Innovative Sciences (CEIS) at University of Rochester, is working with Rochester based Immersitech, Inc. to develop a framework to evaluate the performance of spatial sound reproduction. This research combines representations of human peripheral auditory system response and low-level processing of binaural data in the brainstem with learning networks to infer auditory scenes from given acoustic stimuli.  The framework provides a tool to evaluate and guide the development of spatial sound reproduction systems.

Headshot Photo of Jannick RollandJannick Rolland will be working with LighTopTech Corp. to develop a microscope for Gabor-Domain Optical Coherence Microscopy (GDOCM) and related image processing tools will be developed in this project, enabling commercialization of pre-clinical and clinical GD-OCM for brain tissue and organoid characterization.

Jason Kuruzovich,  Associate Professor and Academic Director, Severino Center for Technological Entrepreneurship at RPI is working with the ACV Auctions.

Dr. Michael Huang, Professor of Electrical and Computer Engineering



Dr. Zeljko Ignjatovic, AssociateProfessor of Electrical and Computer Engineering



Dr Huang and Dr. Ignjatovic from the University of Rochester are working with AMD researching Architectural Support to Increase Ising Machine Capabilities.The goal of the project is to develop advances in Ising machine technologies that will bring them closer to realizing their envisioned potential of orders-of-magnitude improvements in speed and energy efficiency when used to solve hard optimization problems (such as SAT). A concrete technical goal is to move from usual quadratic interactions to also account for qubic interactions that can facilitate mapping (and then solving) a broader class of problems more efficiently to the proposed Ising machine substrate.

Chunlei Guo, Professor of Optics
Senior Scientist in the Laboratory for Laser Energetics at the University of Rochester is working with Pfizer onNeural Network assisted Femtosecond Laser Fabrication of Anti-bacterial Surfaces.

Gonzalo Mateos, Associate Professor with the Dept. of Electrical and Computer Engineering, University of Rochester, is working with IBM on Learning to Localize Sources of Network Diffusion.

Andreas Savakis HeadshotAndreas Savakis,
Department of Computer Engineering in the
Kate Gleason College of Engineering at Rochester Institute of Technology is working with Kitware, Inc. on Domain Adaptation using Vision Transformers.

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