Vidya Manian

Professor

University of Puerto Rico

United States

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Professor Vidya Manian is a faculty member at the University of Puerto Rico, specializing in advanced topics in artificial intelligence, deep learning, and hyperspectral image analysis. Her recent research focuses on the development of innovative models for image classification, EEG analysis, and forecasting in photovoltaic power generation. Professor Manian's work contributes significantly to the fields of machine learning and image processing, with applications in both environmental monitoring and cognitive neuroscience.

Articles (18)

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2025

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2021

Collaborators (2)

Balpreet K. Dhatt

University of Nebraska - Lincoln

UNITED STATES

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Fabio Andrade

Professor

University of Puerto Rico-Mayaguez

UNITED STATES

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Vidya Manian

Research Interests

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About

Articles (18)

Jet image tagging using deep learning: an ensemble model

An Elliptic Kernel Unsupervised Autoencoder—Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing

Supervised Spatially Spectrally Coherent Local Linear Embedding—Wasserstein Graph Convolutional Network for Hyperspectral Image Classification

Photovoltaic Power Generation Forecasting with Hidden Markov Model and Long Short-Term Memory in MISO and SISO Configurations

Artificial Intelligence Approach for Classifying Images of Upper-Atmospheric Transient Luminous Events

Electroencephalogram Functional Connectivity Analysis and Classification of Mental Arithmetic Working Memory Task

Hyperspectral Multilevel GCN and CNN Feature Fusion for Change Detection

A Deep Neural Network for Working Memory Load Prediction from EEG Ensemble Empirical Mode Decomposition

A Deep Learning Framework for Processing and Classification of Hyperspectral Rice Seed Images Grown under High Day and Night Temperatures

Graph Convolutional Network Using Adaptive Neighborhood Laplacian Matrix for Hyperspectral Images with Application to Rice Seed Image Classification

A Sparse Multiclass Motor Imagery EEG Classification Using 1D-ConvResNet

Automated Sleep Stage Classification in Home Environments: An Evaluation of Seven Deep Neural Network Architectures

Land Use Land Cover Labeling of GLOBE Images Using a Deep Learning Fusion Model

Detection of Target Genes for Drug Repurposing to Treat Skeletal Muscle Atrophy in Mice Flown in Spaceflight

Hyperspectral Image Labeling and Classification Using an Ensemble Semi-Supervised Machine Learning Approach

Detection of Genes in <i>Arabidopsis thaliana</i> L. Responding to DNA Damage from Radiation and Other Stressors in Spaceflight

Spatial Low-Rank Tensor Factorization and Unmixing of Hyperspectral Images

Network Analysis of Gene Transcriptions of <i>Arabidopsis thaliana</i> in Spaceflight Microgravity

Collaborators (2)

Balpreet K. Dhatt

Fabio Andrade

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