Danda B. Rawat

Interim Associate Dean for Research and Professor

Howard University

United States

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Danda B. Rawat serves as the Interim Associate Dean for Research and Professor at Howard University, USA. His research focuses on advanced machine learning techniques, including vision transformer robustness, meta-learning for unmanned aerial systems, and federated learning for autonomous vehicles. He has extensively published on topics such as explainable AI, detecting biases in machine learning models, and the intersection of digital twins and communication technologies.

Danda B. Rawat

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Articles (29)

Recent Advances in Vision Transformer Robustness Against Adversarial Attacks in Traffic Sign Detection and Recognition: A Survey

UASDefMeta: A Meta-Learning-Based Defense Approach for Detecting Unmanned Aerial Systems Eavesdropping in Mission-Critical Applications

A Communication-Efficient Machine Learning Framework for the Internet of Vehicles

FL-MBS: Federated Learning and Mantissa Bits Steganography for Resource Constrained Autonomous Uncrewed Vehicles

Decoding Fake News and Hate Speech: A Survey of Explainable AI Techniques

MedScrubCrew: A Medical Multi-Agent Framework for Automating Appointment Scheduling Based on Patient-Provider Profile Resource Matching

Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference

Performance Evaluation for Detecting and Alleviating Biases in Predictive Machine Learning Models

A BERT-Based Multimodal Framework for Enhanced Fake News Detection Using Text and Image Data Fusion

Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives

Ensemble Techniques for Robust Fake News Detection: Integrating Transformers, Natural Language Processing, and Machine Learning

Recent Advances in 3D Object Detection for Self-Driving Vehicles: A Survey

Efficiency of Federated Learning and Blockchain in Preserving Privacy and Enhancing the Performance of Credit Card Fraud Detection (CCFD) Systems

Review of the Open Data Sets for Contactless Sensing

Energy Management for Fault-tolerant (m,k)-constrained Real-time Systems That Use Standby-Sparing

Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives

Machine Learning-Based Anomaly Detection for Securing In-Vehicle Networks

Efficient Information Dissemination in Blockchain-Enabled Federated Learning for IoV

Data-Driven Network Anomaly Detection with Cyber Attack and Defense Visualization

A Lightweight Window Portion-Based Multiple Imputation for Extreme Missing Gaps in IoT Systems

Unveiling the Landscape of Operating System Vulnerabilities

Advances in IoT Security: Vulnerabilities, Enabled Criminal Services, Attacks, and Countermeasures

Guest Editorial Advanced Wearable Sensors for Smart Monitoring and Disease Prediction

Improved Multi-Resolution Neural Network for Mobility-Aware Security and Content Caching for Internet of Vehicles

PGA-Net: Polynomial Global Attention Network With Mean Curvature Loss for Lane Detection

Real-Time Physical Threat Detection on Edge Data Using Online Learning

Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives

ANAF-IoMT: A Novel Architectural Framework for IoMT-Enabled Smart Healthcare System by Enhancing Security Based on RECC-VC

Recent Advances in Trustworthy Explainable Artificial Intelligence: Status, Challenges, and Perspectives

Collaborators (9)

Uwe Aickelin

Hadi Akbarzadeh Khorshidi

Lingjia Liu

Dakai Zhu

Imtiaz Ahmed

Yuba Siwakoti

Ghada Abdelmoumin

Linwei Niu

Zonghua Gu

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