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Dr. Menon Assistant Professor Director, Big Data Analytics Lab, |
Education:
B.Tech., Electronics
and Communication Engineering, Amrita Vishwa Vidyapeetam, 2010
Ph.D., Mississippi State University, Electrical and Computer Engineering, 2016
Interests:
Big Data Analytics, Data Science,
Remote Sensing, Hyperspectral classification, Deep learning, interpretable
Machine learning, explainable AI, Cyber Security, Computational biology, Human
machine interfaces, human-AI automation and trust factors.
You can find my CV here.
Useful Links:
Check out the ACM activities
Some Recent Course (Instructional) Information:
·
CS488: Intro to Big Data Computing
Fall 2021,2020, 2019
·
CS588: Intro to Big Data Computing
Fall 2021,2020, 2019
·
CS309: Computer Org & Switching
Theory Spring 2021, 2020, 2019
·
CS413: Intro to Computer
Architecture Spring 2021, 2020,2019, 2018
·
CS413: Intro to Computer
Architecture Fall 2020, 2019, 2018
·
CS696-16: Special Topics: Big Data
Analytics Fall 2017, 2018
·
CS103: Intro to C Programming Summer
2017
·
CS495-07: Special Topics: Intro to
Interpretable Machine learning Spring 2020, Fall 2020
·
CS795-07: Special Topics: Advanced
Interpretable Machine learning Summer 2020, Fall 2020
·
Hon-499: Honor’s thesis: Spring 2021,
Fall 2021,
Advisees:
Doctoral advisees
·
Bishwas Praveen Spring
2020– Present
·
Shivangi Gupta Spring 2020– Present
·
Thomas de wit Warren Spring 2019– Present
Masters advisees
·
Saul Gurgua Lopez Fall 2021– Present
·
Joseph Schwalb Spring 2021–
Present
Past Masters advisees
·
Bishwas Praveen Fall 2019 Thesis title- “Deep Learning-based
Spatial-Spectral Feature Extraction for Hyperspectral Data Analysis
Applications”
·
Vishnu Sripriya Akondi Fall 2019 Thesis title- “Novel Big Data
Analytics for Study of Drug-Target Discovery Application”
·
Raina Ghanshyam Bangani Spring 2021 Thesis title- “A Personalized Stress
Monitoring AI System”
Partial Publications
List:
·
T.
Warren, and V. Menon, “Informed Trading Support for the Amateur Investor
on the New York Stock Exchange”, in Proceedings of IEEE International
Conference on Big Data, pp. 2948-2955, Dec 2019.
·
B. Praveen, and V. Menon, “Novel
Deep-Learning-Based Spatial-Spectral Feature Extraction For
Hyperspectral Remote Sensing Applications”, in Proceedings of IEEE
International Conference on Big Data, pp. 5444-5452, Dec 2019.
·
V. S. Akondi, V. Menon, J. Whittle, and J. Baudry,“
Novel K-Means Clustering-based Undersampling and
Feature Selection for Drug Discovery Applications”, in Proceedings of IEEE
International Conference of Bioinformatics and Biomedicine (BIBM), pp.
2771-2778, Nov 2019.
·
V.
Menon, and S. Yarahmadian, “Wavelet-Based Compression and Estimation of
the N-State Stochastic Microtubule Signal,” in Proceedings of IEEE
International Conference on Bioinformatics and Biomedicine (BIBM), pp.
852-858, Nov 2019.
·
V.
Menon, “Randomized
Locality-Preserving Discriminant Analysis for Dimensionality Reduction and
Hyperspectral Image Classification,” in Proceedings of IEEE International
Geoscience and Remote Sensing Symposium (IGARSS), pp. 3340-3343, July 2019.
·
S. N. R.
Mettupally, and V. Menon, “A Smart Eco-System
for Parking Detection Using Deep Learning and Big Data Analytics,” in
Proceedings of the IEEE Southeast Con, pp. 1-4, April 2019.
·
K.
Foster, and V. Menon, “A Study of Spatial-Spectral Information Fusion
Methods in the Artificial Neural Network Paradigm for Hyperspectral Data
Analysis in Swarm Robotics Applications,” in Proceedings of the IEEE
Southeast Con, pp. 1-8, April 2019.
·
V.
Menon, and Q. Du,
“Randomized Non Negative Matrix Factorization For
Hyperspectral Image Classification,” in Proceedings of the 9th Workshop on Hyperspectral Image and Signal
Processing: Evolution in Remote Sensing (WHISPERS), 2018.
·
V.
Menon and S. Yarahmadian, “Wavelet Based Compressed Sensing Sampling and
Estimation of N-States Random Evolution Model Parameters in Microtubule
Signal,” in Proceedings of IEEE International Conference of Bioinformatics
and Biomedicine (BIBM), pp. 2009-2016, Dec. 2018.
·
R. Das, V.
Menon, and T. Morris, “On the Edge Realtime Intrusion
Prevention System for DoS Attack,” in Proceedings
of 5th International Symposium for ICS & SCADA Cyber Security Research
(ICS-CSR), August 2018. DOI: 10.14236/ewic/ICS2018.10
·
V.
Menon, Q. Du, and S.
Christopher, “Improved Random Projection With K-Means
Clustering For Hyperspectral Image Classification,” in Proceedings of the
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp.
4768-4771, July 2018.
·
V.
Menon, S. Yarahmadian, and V. Rezania, “Superresolution and EM based ML Kalman
Estimation of the Stochastic Microtubule Signal Modeled as Three States Random
Evolution,” in proceedings of IEEE International Conference on
Bioinformatics and Biomedicine (BIBM), pp. 686-693, Nov 2017.
·
V.
Menon, Q. Du, and J. E.
Fowler, “Random Projection Based Nonnegative Least Squares for Hyperspectral
Image Unmixing,” in Proceedings of the 8th Workshop on Hyperspectral Image and Signal
Processing: Evolution in Remote Sensing, Los Angeles, CA, August, 2016.
·
V.
Menon, Q. Du, and J. E.
Fowler, “Hadamard-Walsh Random Projection for
Hyperspectral Image Classification,” in Proceedings of the International
Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, pp. 5141-5144, July 2016.
·
S. Yarahmadian, V. Menon, and V. Rezania,
“On using Compressed Sensing and Peak Detection Method for the Dynamic
Instability Parameters Estimation for Microtubules Modeled in Three States,” in
Proceedings of Bioinformatics and Biomedicine (BIBM), 2015 IEEE International
Conference on, pp. 417-420, Nov. 2015.
·
V.
Menon, S. Prasad, and J. E.
Fowler, “Hyperspectral Classification using a Composite Kernel Driven by
Nearest-Neighbor Spatial Features,” in Proceedings of 2015 IEEE
International Conference on Image Processing (ICIP), vol., no.,
pp.2100-2104, 27-30 , Sept. 2015.
Contact Information:
Vineetha Menon
Tech Hall (OKT) N 349 / Computer Science Department
University of Alabama in Huntsville
Huntsville, AL 35899
ph.: (256) 824-5409
email: Vineetha.Menon@uah.edu