Ahmed Abdelmoamen Ahmed

Prairie View A&M University

Papers

4

Total Citations

46

H-Index

3

About

Dr. Ahmed Abdelmoamen Ahmed is a leading researcher at the intersection of the Internet of Things (IoT), edge computing, and artificial intelligence, with a focus on developing intelligent systems for societal and environmental challenges. His most impactful work includes the design of a scalable, energy-efficient LoRaWAN-based geofencing system for monitoring vulnerable communities in remote areas with limited cellular coverage (22 citations). He has also pioneered a machine learning approach to automatically characterize behavioral phenotypes in dairy cows related to thermotolerance, addressing the projected $2.2 billion annual economic loss from heat stress in the U.S. dairy industry (12 citations). Dr. Ahmed’s contributions extend to autonomous UAVs for constructing 3D maps in dynamic environments, enhancing worker safety in hazardous industries like oil and gas (9 citations), and developing the "WanderWatch" system for tracking wandering risk patients, such as those with Alzheimer’s. His work consistently demonstrates a commitment to deploying cutting-edge technology—combining LoRaWAN, UAVs, and ML—to solve pressing real-world problems in healthcare, agriculture, and public safety, making him a key innovator in applied IoT research.

Research Focus

Key Achievements

3
H-Index
4
Papers
46
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A Scalable and Energy-Efficient LoRaWAN-Based Geofencing System for Remote Monitoring of Vulnerable Communities
22 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Prairie View A&M University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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