Yurii Vlasov

About

Dr. Yurii Vlasov is a John Bardeen Endowed Chair in Electrical and Computer Engineering and Physics at the University of Illinois at Urbana-Champaign. He holds tenured positions across multiple departments including Electrical and Computer Engineering, Physics, Materials Science and Engineering, and Bio-Engineering, as well as the Carle Illinois College of Medicine. His research focuses on the development of advanced engineering approaches for reverse engineering brain circuits, including silicon-based nanofluidic and nanophotonic neural probes, in-vivo neurobiological experiments involving large-scale recording and manipulation of brain activity, and the application of machine-learning algorithms to analyze neural datasets. Prior to his current appointment, Dr. Vlasov held significant research and managerial roles at IBM T.J. Watson Research Center, where he led efforts in integrated silicon nanophotonics and neuromorphic computing architectures, initiating projects that advanced the technology from fundamental research to commercial manufacturing. His earlier work includes semiconductor nanophotonics development at the N.E.C. Research Institute and the Strasbourg IPCMS Institute, as well as extensive research at the Ioffe Institute of Physics and Technology in Russia. Dr. Vlasov has published over 300 papers, filed more than 100 patents, and delivered over 100 invited talks. He is a member of the National Academy of Engineering and a Fellow of the APS, IEEE, and OSA,…

Research topics

• Computer Science
• Materials science
• Nanotechnology
• Chemistry
• Chromatography
• Engineering
• Optoelectronics
• Organic chemistry
• Data science
• Optics

Selected publications

• Droplet Microfluidics with MALDI-MS Detection: The Effects of Oil Phases in GABA Analysis

  ACS Measurement Science Au · 2021 · 32 citations

  Microfluidic and mass spectrometry (MS) methods are widely used to sample and probe the chemical composition of biological systems to elucidate chemical correlates of their healthy and disease states. Though matrix-assisted laser desorption/ionization-mass spectrometry (MALDI)-MS has been hyphenated to droplet microfluidics for offline analyses, the effects of parameters related to droplet generation, such as the type of oil phase used, have been understudied. To characterize these effects, five…

  DOI

• Droplet-assisted electrospray phase separation using an integrated silicon microfluidic platform

  Lab on a Chip · 2021 · 21 citations

  Senior authorCorresponding

  We report a silicon microfluidic platform that enables monolithic integration of transparent micron-scale microfluidic channels, an on-chip segmentation of analyte flows into picoliter-volume droplets, and a nano-electrospray ionization emitter that enables spatial and temporal separation of oil and aqueous phases during electro-spray for subsequent mass spectrometry analysis.

  DOI

• Integrated silicon microfluidic chip for picoliter-scale analyte segmentation and microscale printing for mass spectrometry imaging

  Lab on a Chip · 2022 · 20 citations

  Senior authorCorresponding

  A silicon single-chip microfluidics system that integrates microscale fluidic channels, an analyte segmentation device, and a nozzle for electrohydrodynamic-assisted printing is designed for hyphenation with MALDI mass spectrometry (MS) imaging. A miniaturized T-junction segments analytes into monodisperse picoliter oil-isolated compartments. The printing nozzle deposits generated droplets one-by-one into an array on a conductive substrate without splitting or coalescing. Virtually single-shot M…

  DOI

• Highly Localized Chemical Sampling at Subsecond Temporal Resolution Enabled with a Silicon Nanodialysis Platform at Nanoliter per Minute Flows

  ACS Nano · 2024-02-20 · 11 citations

  articleOpen accessSenior authorCorresponding

  Microdialysis (MD) is a versatile and powerful technique for chemical profiling of biological tissues and is widely used for quantification of neurotransmitters, neuropeptides, metabolites, biomarkers, and drugs in the central nervous system as well as in dermatology, ophthalmology, and pain research. However, MD performance is severely limited by fundamental tradeoffs between chemical sensitivity, spatial resolution, and temporal response. Here, by using wafer-scale silicon microfabrication, we…

  PublisherOA PDFDOI

• 1-Octanol-assisted ultra-small volume droplet microfluidics with nanoelectrospray ionization mass spectrometry

  Analytica Chimica Acta · 2024-07-21 · 4 citations

  articleOpen access

  Droplet microfluidics with push-pull and microdialysis sampling from brain slices, cultured cells and engineered tissues produce low volume mass limited samples containing analytes sampled from the extracellular space. This sampling approach coupled to mass spectrometry (MS) detection allows evaluation of time-dependent chemical changes. Our goal is an approach for continuous sampling and segregation of extracellular samples into picoliter droplets followed by the characterization of the droplet…

  PublisherDOI

Frequent coauthors

• William M. J. Green

  Princeton University

  91 shared

• Solomon Assefa

  Ethiopian Public Health Institute

  91 shared

• Fengnian Xia

  Hebei Chemical and Pharmaceutical College

  43 shared

• Clint L. Schow

  University of California, Santa Barbara

  40 shared

• Alexander Rylyakov

  Nokia (United States)

  37 shared

• Richard M. Osgood

  36 shared

• Jerry I. Dadap

  36 shared

• Tymon Barwicz

  IBM (United States)

  36 shared

Education

• Ph.D., Computer Science

  University of Illinois at Urbana-Champaign

  2000

• M.S., Computer Science

  University of Illinois at Urbana-Champaign

  1996

• B.S., Computer Science

  University of Illinois at Urbana-Champaign

  1994

Awards & honors

• Member of the National Academy of Engineering
• Fellow of the APS
• Fellow of the IEEE
• Fellow of the OSA
• IBM CEO Corporate Award

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