Vineetha Menon, Ph.D.

Associate Professor, Computer Science

Contact

5000 Technology Drive NW
Olin B. King Technology Hall
Room N349
Huntsville, AL 35899
Campus Map

256.824.5409
vineetha.menon@uah.edu

Biography

Dr. Vineetha Menon is an Associate 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.

Curriculum Vitae

Personal Website

Education

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

Honors & Awards

  • Research Horizon award, 3rd place in College of Science graduate poster category, R.G. Bangani, and V. Menon, “A Personalized stress Monitoring AI System for Healthcare Workers,” Annual Research Horizons Day, University of Alabama in Huntsville, 2021
  • Early Career Fellowship, National Academy of Sciences and Engineering and Medicine(NASEEM)—Gulf Research Program (GRP), 2020.
  • New Faculty Research (NFR) award, "Efficient Knowledge Discovery and Big Data Analytics for Data-Driven Disease Diagnoses in Healthcare Applications", University of Alabama in Huntsville (UAH),2018.
  • Alabama Science and Technology Open House award, 2nd place in graduate poster category, S. N. Reddy and V. Menon, "Comprehensive Parking Study at the University of Alabama in Huntsville using Airborne sensors," 2018 Science and Technology Open House: Showcasing STEM Activities Across Alabama Institutions, Tuskegee University, 2018
  • Research Horizon award, 1st place in College of Science graduate poster category, S. N. Reddy, and V. Menon, "InstaPark-Smart Parking Solution," 4th annual Research Horizons Day, University of Alabama in Huntsville, 2018.
  • Certificate of Recognition by Journal of Applied Remote Sensing (JARS) for service as reviewer, 2018.
  • Outstanding Graduate Woman award, President’s Commission on the Status of Women (PCSW), Mississippi State University (MSU), 2016.
  • Student Hall of Fame award, Bagley College of Engineering (BCoE), MSU, 2016.
  • Graduate School Hall of Fame and Outstanding Graduate Student award, Graduate school, MSU, 2016.
  • Spirit of State award, MSU, 2015.

Expertise

  • 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

Recent Publications

  • V. S. Akondi, V. Menon, J. Whittle, J. Baudry, " Novel Big Data-driven Machine Learning models for Conformational Selection in Protein-Ligand Interactions", PLOS ONE, 2021.

  • V. Menon, and Q. Du, "Spatial-Spectral Information Fusion Using Randomized Non Negative Matrix Factorization For Hyperspectral Image Classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2020.

  • B. Praveen, and V. Menon, "Deep Learning-based Spectral-Spatial Attention Models for Hyperspectral Data Analysis," IEEE transactions in Geoscience and Remote Sensing (TGARS), 2021

  • BR.G. Bangani, V. Menon and E. Jovanov, "Robust Wearable-AI System for Personalized Stress Detection and Monitoring in Nurses", IEEE Journal of Translational Engineering in Health and Medicine (JTEHM), 2021

  • K. Weger, and V. Menon, "Towards a Big Data Analytics-driven Intra Team Situation Awareness," IEEE Transactions on Human-Machine Systems (HMS),2021.

  • V. Menon, Q. Du and S. Christopher, "Graph-based Spatial-Spectral Information Extraction Using Random Projection for Dimensionality Reduction of Hyperspectral Imagery," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS),2021.

  • S. Gupta, C. Preacher, V. Menon, J. Baudry, and J. Whittle, "Big Data Analytics for Efficient Protein Conformation Selection", PLOS ONE, 2021

  • B. Praveen and V. Menon, "Study of Spatial–Spectral Feature Extraction Frameworks With 3-D Convolutional Neural Network for Robust Hyperspectral Imagery Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 1717-1727, 2021.

  • V. Menon, S. Yarahmadian, and V. Rezania, "Novel EM based ML Kalman Estimation Framework for Super resolution of Stochastic Three-States Microtubule Signal," BMC Systems Biology, 2018, vol. 12, no. 6, pp.112-131

  • 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. 2017.