Gumerov, Nail

Nail Gumerov
Senior Research Scientist
Institute for Advanced Computer Studies
College of Computer, Mathematical and Natural Sciences
3305 A.V. Williams Building
Phone: 
301-405-8210

Perceptual Interfaces are concerned with extending human computer interaction to use all modalities of human perception. Our current research efforts are focused at including vision, audition, and touch in the process. The goal of perceptual reality is to create virtual and augmented versions of the world, that are perceptually identical to the human with the real world. The goal of creating perceptual user interfaces is to allow humans to have natural means of interacting with computers, appliances and devices using voice, sounds, gestures, and touch.

In both creating virtual reality, and in acquiring multimodal input from humans, our research emphasizes physics-based algorithms, efficient computation, and real-time implementations.
General Research Interests: 
Acoustics
  • Multiple scattering problems
  • Linear and nonlinear waves in complex media with relaxation, dispersion, and dissipation
  • Propagation of pressure waves in disperse systems
  • Self-organization of disperse systems in acoustic fields
  • Dynamics of single bubbles, droplets, and solid particles in acoustic fields
  • Acoustic cavitation
  • Human hearing and acoustic field sensing
  • Computational acoustics
Fluid Mechanics
  • Multiphase flows (specifically, disperse systems)
  • Dynamics of single bubbles, droplets, and solid particles
  • Micro- and nanofluidics (including molecular dynamics simulations)
  • Potential flows
  • Stokes flows
  • Vortex dynamics and vorticity
  • Computational fluid dynamics
  • Heat and mass transfer
  • Boiling and cavitation
  • Dynamics of gas hydrate containing systems
Electromagnetism
  • Computational electromagnetics
  • Scattering of electromagnetic waves
  • Electrostatics and low-frequency EM fields
  • Linear and nonlinear waves in cold plasma
Numerical Methods
  • Fast multipole methods (FMM)
  • Boundary element methods (BEM)
  • Spectral and pseudospectral methods
  • Vortex element methods (VEM)
  • Iterative methods
  • Multidimensional interpolation
  • Numerical-analytical methods using asymptotic approaches
  • Optimization
Analytical Methods
  • Asymptotic methods (particularly multiscale methods)
  • Spectral methods for partial differential equations
  • Translation operators and fast transforms
  • Qualitative analysis of dynamic systems
Computing
  • High performance computing (particularly, using graphics processors and heterogeneous architectures)
  • Scalable algorithms
  • Multidimensional data structures
  • Efficient algorithms for computer vision and machine learning
Background: 
Education
 
1981 M.S. in Mechanics; Department of Mechanics and Mathematics of Lomonosov Moscow State University, Moscow, Russia; (Aeromechanics and Gas Dynamics). 
1987 Ph.D. in Physics and Mathematics; Department of Mechanics and Mathematics of Lomonosov Moscow State University, Moscow, Russia. 
1992 Sc.D. in Physics and Mathematics; Department of Physics, Tyumen State University, Tyumen, Russia.