Advancing research in mobile communications, wireless network optimization, energy ICT, smart factory systems, and blockchain-enabled networking for 5G, 6G and the Internet of Things.
We work across four major research thrusts, bridging theory and real-world application for next-generation networks.
Resource allocation, handover management, load balancing, and CoMP techniques for 5G/6G heterogeneous networks integrated with satellite systems.
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IoT-enabled renewable energy management, solar and wind power forecasting with ML, battery energy storage system (BESS) optimization, and smart grid security.
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AI-driven real-time fault diagnosis, CNN-based engine load classification, and process optimization for Industry 4.0 manufacturing environments.
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Decentralized, tamper-resistant security for wireless networks and IoT using sharding blockchain, with ML-optimized protocols for dynamic environments.
Learn more โKumbi et al.: "Mobility and QoS-Aware Energy Efficient Scheduling for Highway Environments Using Deep Reinforcement Learning."
ComNeT presents "QoS-Aware Downlink Scheduling Algorithm for GBR and non-GBR Flows in 5G Networks" at ICEIC 2026.
Congratulations to Dr. Yemane Teklay Seyoum and Dr. Manan Abdul on completing their Ph.D. degrees.