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Dr. Parameshachari B D

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Visiting Professor

University of Rome Tor Vergata

Italy

Research Interests

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About

Dr. Parameshachari B D is a Visiting Professor at the University of Rome Tor Vergata, Italy. His research interests include blockchain technology, IoT applications in tourism, optimization approaches for UAV-assisted computing, and advanced communication systems for 6G networks. He has published recent articles on topics such as AI-driven healthcare architecture, sentiment analysis methodologies, and energy-efficient mobile networks.

Recent Grants

Grant: Close

Image Encryption and Decryption for real time Applications

Open Date: 2014-11-01

Close Date: 2015-02-01

Articles (10)

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2025

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Collaborators (2)

Byung‐Gyu Kim

Full Professor

Sookmyung Women's University

SOUTH KOREA

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Przemysław Falkowski‐Gilski

POLAND

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Dr. Parameshachari B D

Research Interests

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About

Recent Grants

Articles (10)

Block chain enabled hybrid cryptographic algorithm for security and privacy preservation of electronic health records

Digital Economy Oriented Tourism Industry Data Analysis in Semantic IoT

Multi-Joint Symmetric Optimization Approach for Unmanned Aerial Vehicle Assisted Edge Computing Resources in Internet of Things-Based Smart Cities

Low-noise amplifier with pre-distortion architecture for ultra-wide band application in radio frequency

VSA-GCNN: Attention Guided Graph Neural Networks for Brain Tumor Segmentation and Classification

Explaining Sentiments: Improving Explainability in Sentiment Analysis Using Local Interpretable Model-Agnostic Explanations and Counterfactual Explanations

Trustworthy AI-Driven 6G-IoT Architecture for Remote Healthcare: Reliable Resource Orchestration and Adaptive Network Intelligence

Exploring Multimodal Multiscale Features for Sentiment Analysis Using Fuzzy-Deep Neural Network Learning

Low-Complexity Beamforming Design for Green Near-Field Communications in 6G Ultra-Massive Multiple-Input-Multiple-Output

DLLF-2EN: Energy-Efficient Next Generation Mobile Network With Deep Learning-Based Load Forecasting

Collaborators (2)

Byung‐Gyu Kim

Przemysław Falkowski‐Gilski

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