Kameswara Rao Namuduri

Professor

University of North Texas

United States

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Professor Kameswara Rao Namuduri is a faculty member at the University of North Texas, USA. His research focuses on advanced air mobility, including collision avoidance systems for uncrewed aircraft and wireless connectivity for air mobility services. He has published extensively on topics such as digital traffic management and the integration of IoT in various domains, including aquaculture.

Articles (13)

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2025

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2021

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2021

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2021

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2020

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2020

Collaborators (6)

Marc Compere

Associate Professor

Embry-Riddle Aeronautical University

UNITED STATES

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Antonios Tsourdos

Cranfield University

UNITED KINGDOM

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Dr. Saba Al-Rubaye

Associate Professor

UNITED KINGDOM

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Peter Molnar

Associate Professor

Georgia College & State University

UNITED STATES

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Mustafa Akbas

Associate Professor

Embry-Riddle Aeronautical University

UNITED STATES

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Ismail Guvenc

Professor

North Carolina State University

UNITED STATES

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Kameswara Rao Namuduri

Research Interests

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About

Articles (13)

Collision Avoidance Strategies for Uncrewed Aircraft Systems in Structured Airspace Using a Roundabout Intersection

Wireless Connectivity and Localization for Advanced Air Mobility Services

Digital Traffic Lights: UAS Collision Avoidance Strategy for Advanced Air Mobility Services

Advanced Air Mobility Operation and Infrastructure for Sustainable Connected eVTOL Vehicle

Digital Twin Approach for Integrated Airspace Management with Applications to Advanced Air Mobility Services

Advanced Air Mobility: Research Directions for Communications, Navigation, and Surveillance

Air Corridors: Concept, Design, Simulation, and Rules of Engagement

A Low-power Dry Electrode-based ECG Signal Acquisition with De-noising and Feature Extraction

Advanced Air Mobility [From the Guest Editors]

Initial Development of the Hybrid Aerial Underwater Robotic System (HAUCS): Internet of Things (IoT) for Aquaculture Farms

Patterns of communication during full-scale emergency/disaster drills

Communication Support for Unmanned Air Transportation [From the Guest Editors]

Dose prediction with deep learning for prostate cancer radiation therapy: Model adaptation to different treatment planning practices

Collaborators (6)

Marc Compere

Antonios Tsourdos

Dr. Saba Al-Rubaye

Peter Molnar

Mustafa Akbas

Ismail Guvenc

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