Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
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SDG 14 Life Below Water
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Dive into the research topics where Tao Hong is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A Review of Wireless Communication Based on GaN Devices
Zhang, J. & Hong, T., 2026, Proceedings of the International Symposium on Intelligent Computing and Networking 2025 - ISICN 2025. Rodriguez Martinez, M., Lu, K., Ye, F. & Qian, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 459-470 12 p. (Lecture Notes in Networks and Systems; vol. 1698 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Design of a Multi-channel Receiving System for Monitoring Data in Greenhouses Based on LoRa
Liu, T., Feng, Y., Lin, Z., Li, Q., Hong, T. & Zhang, H., 2026, Proceedings of the International Symposium on Intelligent Computing and Networking 2025 - ISICN 2025. Rodriguez Martinez, M., Lu, K., Ye, F. & Qian, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 54-60 7 p. (Lecture Notes in Networks and Systems; vol. 1698 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Leveraging Artificial Neural Networks for Accurate Short-Term Traffic Prediction in Centralized SDN Architecture
Bibak, B., Kadoch, M., Li, Q. & Hong, T., 2026, Information Processing and Network Provisioning - 3rd International Conference, ICIPNP 2024, Proceedings. Kadoch, M., Cheriet, M. & Qiu, X. (eds.). Springer Science and Business Media Deutschland GmbH, p. 356-370 15 p. (Communications in Computer and Information Science; vol. 2417 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Machine Learning-Guided Design and Performance Prediction of Multidimensional Magnetic MXene-Based Nanocomposites for High-Efficiency Microwave Absorption
Zhang, T., Yang, Y. & Hong, T., Mar 2026, In: Magnetochemistry. 12, 3, 37.Research output: Contribution to journal › Article › peer-review
Open Access -
Physics-Informed and Interpretable Machine-Learning-Assisted Design of Electromagnetic Absorbers for Radar Cross-Section Reduction in Electronic Systems
Zhang, T., Yang, Y. & Hong, T., Mar 2026, In: Electronics (Switzerland). 15, 6, 1237.Research output: Contribution to journal › Article › peer-review
Open Access