Best Researcher Award
Jaewoo So
Sogang University, South Korea
The Best Researcher Award profile recognizes the engineering research associated with Jaewoo So of Sogang University, South Korea. The supplied bibliometric information records 63 documents, 638 citations and an h-index of 16. His listed publications address wireless communications, intelligent network optimization, integrated sensing and communication, and unmanned aerial vehicle (UAV)-mounted base stations. These topics connect engineering research with emerging requirements in connected transportation, cellular infrastructure and energy-efficient network deployment. The profile is presented in connection with the Global Innovation Technologist Awards.
Abstract
This article summarizes the supplied research profile and three selected journal publications associated with Jaewoo So. The studies cover deep learning-based beamforming for integrated sensing and communication, distributed multi-agent reinforcement learning for cellular transmit power control, and energy-efficient UAV-mounted base station deployment under changing weather conditions. Published in Sensors, these works illustrate the application of computational intelligence to wireless network design and performance optimization. Bibliometric figures are reported as supplied and should be interpreted in the context of their source and retrieval date. [1]
Keywords
Engineering; wireless communications; deep learning; integrated sensing and communication; reinforcement learning; cellular networks; UAV base stations; energy-efficient networking; beamforming; research impact.
Introduction
Modern communication systems must accommodate growing data demand, mobility, energy constraints and increasingly complex radio environments. Machine learning methods provide tools for adapting network parameters to changing conditions. The three selected studies address complementary aspects of this challenge, from radio-resource allocation to integrated sensing and communication and aerial infrastructure planning. Their publication records provide identifiable evidence of research activity in engineering and intelligent communication systems. [2]
Research Profile
The supplied profile identifies Jaewoo So with Sogang University and the engineering subject area. The reported Scopus author identifier is 26030124900. The accompanying indicators—63 documents, 638 citations and an h-index of 16—offer quantitative measures of publication activity and citation reach. Such indicators are useful for describing research visibility but do not independently establish the originality, practical value or quality of individual contributions. [1]
Research Contributions
The selected research addresses three related technical directions:
- Adaptive beamforming: Deep learning-based dynamic time division integrated sensing and communication for vehicular networks, linking communication resources with sensing requirements. [2]
- Distributed network control: Multi-agent deep reinforcement learning for transmit power control in cellular networks, addressing decisions distributed across network agents. [3]
- Energy-aware infrastructure: Simulation of UAV-mounted base station deployment under dynamic weather conditions, bringing environmental variability into deployment planning. [4]
Publications
- “Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks.” Sensors, April 2026. [2]
- “Distributed Multi-Agent Deep Reinforcement Learning-Based Transmit Power Control in Cellular Networks.” Sensors, June 2025. [3]
- “Energy-Efficient Deployment Simulator of UAV-Mounted Base Stations Under Dynamic Weather Conditions.” Sensors, June 2025. [4]
Research Impact
The reported 638 citations and h-index of 16 suggest that the research profile has attracted scholarly attention. Citation counts vary over time and across indexing services, while citation practices differ by discipline. The publication topics also have potential relevance to vehicular connectivity, cellular resource efficiency and flexible wireless coverage. Assessing real-world impact would require additional evidence, such as independent validation, implementation results, comparative performance data and documented adoption. [5]
Award Suitability
The supplied publication record offers relevant material for consideration under the Best Researcher Award of the Global Innovation Technologist Awards. Its strengths for evaluation include a defined engineering focus, peer-reviewed journal publications and reported bibliometric indicators. A balanced award assessment should additionally examine authorship contributions, methodological rigor, originality, reproducibility and evidence of broader research significance. This profile describes potential alignment with the award category and does not itself establish an official selection outcome.
Conclusion
Jaewoo So’s supplied research profile and selected publications represent work in intelligent wireless communication and network optimization. The studies address adaptive beamforming, distributed power control and energy-aware UAV base station deployment. Combined with the reported bibliometric figures, these records provide a basis for scholarly recognition and further evaluation. Final conclusions about research excellence should rely on verified profile data and a transparent assessment of individual contributions and impact.
External Links
References
- Elsevier. (n.d.). Scopus author details: Jaewoo So, Author ID 26030124900. Scopus. Bibliometric values in this article were supplied for the profile and should be checked against the current record.
https://www.scopus.com/authid/detail.uri?authorId=26030124900
- Deep Learning-Based Dynamic Time Division ISAC Beamforming for Vehicular Networks. Sensors, 26(9), 2790. DOI: 10.3390/s26092790.
https://doi.org/10.3390/s26092790
- Distributed Multi-Agent Deep Reinforcement Learning-Based Transmit Power Control in Cellular Networks. Sensors, 25(13), 4017. DOI: 10.3390/s25134017.
https://doi.org/10.3390/s25134017
- Energy-Efficient Deployment Simulator of UAV-Mounted Base Stations Under Dynamic Weather Conditions. Sensors, 25(12), 3648. DOI: 10.3390/s25123648.
https://doi.org/10.3390/s25123648
- ORCID. (n.d.). Jaewoo So researcher identifier. ORCID record 0000-0001-7868-7197.
https://orcid.org/0000-0001-7868-7197
- Global Innovation Technologist Awards. (n.d.). Official award website.
innovationtechnologist.com