Maxwell M. Omwenga

University of Tennessee at Chattanooga

Papers

1

Total Citations

4

H-Index

1

About

Dr. Maxwell M. Omwenga is a pioneering researcher at the intersection of autonomous systems, edge computing, and artificial intelligence. His work focuses on developing intelligent, resource-constrained platforms capable of real-time decision-making, particularly in the domain of subsurface sensing. Dr. Omwenga’s most notable contribution is the introduction of the Autonomous Cognitive Ground Penetrating Radar (ACGPR), a system that integrates edge computing with reinforcement learning to enable drones and robotic platforms to perform robust subsurface object detection and recognition. This innovation addresses the critical challenge of limited onboard computing resources, allowing for real-time data processing and adaptive decision-making in dynamic environments. His seminal 2019 paper on this topic has garnered significant attention, laying the groundwork for a new generation of autonomous sensing technologies. Dr. Omwenga’s work is highly impactful, demonstrating how cognitive AI can be deployed on edge devices to solve complex, real-world problems in fields ranging from archaeology to infrastructure inspection and military applications. His research continues to push the boundaries of what is possible in autonomous, intelligent sensing.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Cognitive GPR Based on Edge Computing and Reinforcement Learning
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Tennessee at Chattanooga

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago