https://www.uah.edu/images/colleges/science/computer-science/images/Vineetha-Menon.jpg

Dr. Menon

Assistant Professor

Director, Big Data Analytics Lab,
Dept. of Computer Science
University of Alabama in Huntsville

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