Vinay Ingle

Associate Professor,  Electrical and Computer Engineering


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  • 304 Dana Research Center
  • 617.373.3008

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Research Focus

Multidimensional signal processing and Hyperspectral imaging


Vinay K. Ingle received his Bachelor of Technology in EE from Indian Institute of Technology, MSEE from Illinois Institute of Technology in 1977, and Ph.D. in Electrical and Computer Engineering from Rensselaer Polytechnic Institute in 1981. He joined Northeastern University in 1981 where presently he is an Associate Professor in the Department of Electrical and Computer Engineering.

Prof. Ingle has broad research experience in the areas of signal and image processing, stochastic processes, and estimation theory. Currently he is actively involved in hyperspectral imaging and signal processing. He has taught both undergraduate and graduate courses in many diverse areas including systems, signal/image processing, communications, and control theory. Professor Ingle has coauthored several textbooks on signal processing including “DSP Laboratory Using the ADSP-2101 Microprocessor” (Prentice-Hall, 1991), “DSP Using “Matlab” (Brooks-Cole, 1996 and 2000), and Statistical and Adaptive Signal Processing (McGraw-Hill, 2000 and Artech House, 2005).


  • PhD, Rensselaer Polytechnic Institute, 1981. Joined Northeastern in 1981.

Research Overview

Multidimensional signal processing and Hyperspectral imaging

Selected Publications

  • M. Pieper, V. Ingle, D. Manolakis, Sensitivity of Temperature and Emissivity Separation to Atmospheric Errors in LWIR Hyperspectral Imagery, SPIE Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIV, SPIE 2018 Defense + Security
  • M. Pieper, D. Manolakis, E. Truslow, T. Cooley, M. Brueggeman, J. Jacobson, A. Weisner, V. Ingle, Effects of Wavelength Calibration Mismatch on Temperature-Emissivity Separation Techniques, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11, 2018, 57-67
  • V. Ingle, J. Proakis, Digital Signal Processing Using MATLAB, Cengage Learning, Fourth Edition, 2017
  • N. Bosowski, V. Ingle, D. Manolakis, Generalized Linear Models for Count Time Series, International Conference on Acoustics, Speech and Signal Processing, New Orleans, 2017
  • M. Pieper, D. Manolakis, E. Truslow, V. Ingle, T. Cooley, M. Brueggeman, J. Jacobson, A. Weisner, Performance Limitations of Temperature Emissivity Separation Techniques in Long-Wave Infrared Hyperspectral Imaging Applications, Optical Engineering, 56(8), 2017