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💯About Me
Uchechukwu Awada is an Associate Professor with the School of Software at Henan Institute of Science and Technology (河南科技学院). His research interests include distributed computing/systems, mobile computing, cloud/edge computing, IoT, IoV and AI. He leads the Systems Research Group, whose mission is to identify, engineer and evaluate innovative technologies that address current and future data-intensive challenges. They take a very practical approach to research, by building and evaluating real systems, whilst publishing in many of the top-tiered systems research conferences and journals.
Interests
- Artificial Intelligence
- Distributed Computing/Systems
- Cloud/Edge Computing
- Internet of Things
- Internet of Vehicles
- Smart City
Education
PhD Information and Communication Engineering
Zhengzhou University
MEng Computer Applied Technology
Harbin Engineering University
BSc Computer Science
Ebonyi State University
📚 My Research
My research interests include distributed computing/systems, mobile computing, cloud/edge computing, big data, IoT, IoV and AI. I lead the Systems Research Group (SGR), whose mission is to identify, engineer and evaluate innovative technologies that address current and future data-intensive challenges. We take a very practical approach to research, by building and evaluating real systems, whilst publishing in many of the top-tiered systems research conferences and journals.
We are actively looking for motivated Master students to join our group. Welcome to SGR!
Please reach out to collaborate 😃
Featured Publications
Recent Publications
(2024).
Collaborative learning-based inter-dependent task dispatching and co-location in an integrated edge computing system.
Digital Communications and Networks.
(2023).
EdgeDrones: Co-scheduling of drones for multi-location aerial computing missions.
Journal of Network and Computer Applications.
(2023).
Resource-aware multi-task offloading and dependency-aware scheduling for integrated edge-enabled IoV.
Journal of Systems Architecture.
(2022).
AirEdge: A Dependency-Aware Multi-Task Orchestration in Federated Aerial Computing.
IEEE Transactions on Vehicular Technology.
(2021).
Air-to-Air Collaborative Learning: A Multi-Task Orchestration in Federated Aerial Computing.
2021 IEEE 14th International Conference on Cloud Computing (CLOUD).
Recent & Upcoming Talks
Recent News
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