Koketsu Rodrigues Tiago

コウケツ・ロドリゲスチアゴ | Koketsu Rodrigues Tiago

Affiliation and department：
Job title： Assistant Professor

Research field (8)： Information networks , Computational science , Computational science , Information networks , Computational science , Information networks , Information networks , Information networks

Research keywords (9)： Edge Computing , Programming , High Frequency Communications , Satellite Networks , Pattern Recognition , Information and Communication Theory , 6G , Machine Learning , Smart Networks

Research theme for competitive and other funds (1)：

2022 - 2026 A Study on Federated Learning for Efficient Communication Resource Allocation in 6G Heterogeneous Networks

Papers (27)：

Tiago Koketsu Rodrigues, Shikhar Verma, Yuichi Kawamoto, Nei Kato, Mostafa M. Fouda, Muhammad Ismail. Smart Handover with Predicted User Behavior using Convolutional Neural Networks for WiGig Systems. IEEE Network. 2024
Masayuki Ariyoshi, Junichi Funada, Emmanuel Le Taillandier de Gabory, Shigeru Asai, Tiago Koketsu Rodrigues, Yuichi Kawamoto, Nei Kato. Challenges and Machine Learning Solutions for Optical Communications in Space-Air- Ground Integrated Networks for 6G. IEEE Wireless Communications. 2024. 1-8
Shikhar Verma, Tiago Koketsu Rodrigues, Yuichi Kawamoto, Mostafa M. Fouda, Nei Kato. A Survey On Multi-AP Coordination Approaches Over Emerging WLANs: Future Directions and Open Challenges. IEEE Communications Surveys and Tutorials. 2023
Chanyoung Park, Won Joon Yun, Jae Pyoung Kim, Tiago Koketsu Rodrigues, Soohyun Park, Soyi Jung, Joongheon Kim. Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. IEEE Internet of Things Journal. 2023. 10. 22. 20033-20048
Eslam Hasan, Elmahedi Mahalal, Muhammad Ismail, Zi Yang Wu, Mostafa M. Fouda, Tiago Koketsu Rodrigues, Nei Kato. Robust Deep Learning-based Indoor mmWave Channel Prediction under Concept Drift. IEEE Vehicular Technology Conference. 2023

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Lectures and oral presentations (10)：

Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift
(Annual Workshop on A3 Foresight Program 2024)
Combination of Distributed and Centralized Learning over Satellite Networks
(Annual Workshop on A3 Foresight Program 2023)
Deep Q Networks with Centralized Learning over LEO Satellite Networks in a 6G Cloud Environment
(IEEE Global Communications Conference (GLOBECOM) 2022)
Study on Deep Neural Networks Applied for Smart Access Point Association in 6G WiGig Networks
(Annual Workshop on A3 Foresight Program 2022)
Hyperparameter Study of Machine Learning Solutions for the Edge Server Deployment Problem
(IEEE 90th Vehicular Technology Conference (VTC-Fall) 2019)

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Education (3)：

2017 - 2020 Tohoku University Graduate School of Information Sciences Ph.D. in Applied Information Sciences
2015 - 2017 Tohoku University Graduate School of Information Sciences Masters on Applied Information Sciences
2010 - 2014 Federal University of Piauí Natural Sciences Center Bachelor of Computer Science

Work history (1)：

2020/04 - 現在 Tohoku University Graduate School of Information Sciences Assistant Professor

Awards (15)：

2023/05 - IEEE Communications Society Best Editor Award
2023/02 - A3 Foresight Program Best Presentation Award Combination of Distributed and Centralized Learning over Satellite Networks
2022/10 - IEEE Communications Society IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award
2021/03 - 東北大学電気・情報系若手優秀研究賞
2021/01 - Tohoku University Research Institute of Electrical Communication Student Award

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Association Membership(s) (3)：

IEEE Communications Society , IEEE , IEEE Young Professionals

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