Dr. Vineetha Menon

Assistant Professor, Computer Science Department

Biography

Dr. Vineetha Menon is an Assistant Professor in the Department of Computer Science at The University of Alabama in Huntsville. Dr. Menon received her B.Tech degree in Electronics and Communication Engineering from Amrita Vishwa Vidyapeetham, Bangalore, India in 2010; and Ph.D. in Electrical and Computer Engineering from Mississippi State University in 2016.

In recognition of Dr. Menon’s contributions to academics, community, increasing diversity on campus, and overall excellence, she was the awarded the “Spirit of the State” award (2015). She was also the recipient of President’s Commission on the Status of Women (PCSW) – “Outstanding Graduate Woman” award (2016) for empowerment of women, leadership and dedication towards increasing women enrollment in graduate education; Bagley College of Engineering (BCoE) “Graduate Student Hall of Fame” award (2016), and “Outstanding Graduate Student award” (2016) from Graduate School in Mississippi State University, for exceptional overall contribution to department, university and community through academic excellence, women leadership and dedication towards increasing women enrollment in graduate education. Her research interests include Big Data Analytics, Data Science, Data compression, Data/Information fusion, Hyperspectral classification, Machine learning, Deep learning, Compressed sensing, Computational biology, Biomedical signal and image processing.

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Education

  • Ph.D., Electrical and Computer Engineering, Mississippi State University, 2016
  • B.Tech., Electronics and Communication Engineering, Amrita School of Engineering, Bangalore, India, 2010

Classes Taught


Selected Publications

  • V. Menon, Q. Du, and J. E. Fowler, “Fast SVD with Random Hadamard Projection for Hyperspectral Dimensionality Reduction,” IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 9, pp. 1275-1279, Sept. 2016.
  • V. Menon, Q. Du, and J. E. Fowler, “Random Hadamard Projections For Hyperspectral Unmixing,” IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 3, pp. 419-423, Mar. 2016.
  • J. Wen, J. E. Fowler, M. He, Y. Zhao, C. Deng, and V. Menon, “Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 7, pp. 4272–4286, July 2016.
  • Mahrooghy, S. Yarahmadian, V. Menon, V. Rezania, and J. A.Tuszynski, “The use of Compressive Sensing and Peak Detection in the Reconstruction of Microtubules Length Time Series in the Process of Dynamic Instability,” in Computers in biology and medicine, Elsevier, 65, 25-33, Oct. 2015.
  • S. Yarahmadian, V. Menon, M. Mahrooghy, and V. Rezania, “Wavelet-Based Compression and Peak Detection for Estimation of Dynamic Instability Parameters for Three States identified in Microtubules,” Journal of Theoretical Biology, under review.
  • V. Menon, Q. Du, and J. E. Fowler, “Gaussian-Mixture-Model-based Graph Kernel for Hyperspectral Image Classification,” IEEE Geoscience and remote sensing letters, in preparation.