Vinay Ingle
Associate Professor, Electrical and Computer Engineering
Office
- 304 Dana Research Center
- 617.373.3008
Related Links
Research Focus
Multidimensional signal processing and Hyperspectral imaging
About
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).
Education
- PhD, Rensselaer Polytechnic Institute, 1981. Joined Northeastern in 1981.
Research Overview
Multidimensional signal processing and Hyperspectral imaging
Selected Research Projects
- Algorithms for Threat Detection
- – Principal Investigator, MIT Lincoln Lab
- Anamoly Detection in Sequential Image Frames using Low-Rank Modeling
- – Principal Investigator, MIT Lincoln Lab
- Investigation of Hyperspectral Target Detection Algorithms
- – Principal Investigator, MIT Lincoln Lab
- Performance Modeling and Prediction for LWIR Hyperspectral Target Detection Systems
- – Principal Investigator, MIT Lincoln Lab
Department Research Areas
Selected Publications
- D. Manolakis, N. Bosowski, V. Ingle, Count Time Series Analysis: A Signal Processing Perspective, IEEE Signal Processing Magazine, 36(3), 2019
- 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, 2018
- 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