I am an associate professor, computer scientist, and researcher at Tohoku University in Sendai, Japan. My specialty is research on computer networks and communications. I am particularly interested in machine learning and distributed solutions applied to this field, but I am open to working with all topics related to the area.
work experience
Associate Professor at Tohoku University, Japan (2025-Present)
Assistant Professor at Tohoku University, Japan (2020-2025)
EDUCATION
Ph.D. in Applied Information Sciences at Tohoku University, Japan (2017-2020)
Master’s in Applied Information Sciences at Tohoku University, Japan (2015-2017)
Bachelor’s in Computer Science at Federal University of Piauí, Brazil (2010-2014)
Academic activities
Associate Editor-in-Chief at IEEE Internet of Things Journal (2026-Present)
Vice-Chair of the IEEE ComSoc Asia Pacific Region Technical Affairs Committee (2026-Present)
Topical Editor at IEEE Internet of Things Journal (2025)
Associate Editor at IEEE Transactions on Emerging Topics in Computing (2023-Present)
Associate Editor at IEEE Network (2020-Present)
Associate Editor at IEEE Transactions on Vehicular Technology (2020-Present)
System Administrator at IEEE Transactions on Vehicular Technology (2017-2020)
Journal Publications
Shikhar Verma, Tiago Koketsu Rodrigues, Nei Kato, Masayuki Ariyoshi, and Yohei Hasegawa, “Multi Layer Jamming Detection and Classification in 6G-Enabled Satellite-Air-Ground Integrated Networks Using Machine Learning,” in IEEE Transactions on Network Science and Engineering, Early Access. DOI: 10.1109/TNSE.2026.3676399
Norranat Songsriboonsit, Tiago Koketsu Rodrigues, Yuichi Kawamoto, Marika Morikawa, Kazuma Kaneko, Shigenori Tani, and Nei Kato, “Deep Learning-Assisted Network Slicing in Hybrid RF/FSO SAGINs under Dynamic Cloud Conditions, ” in IEEE Transactions on Vehicular Technology, Early Access. DOI: 10.1109/TVT.2026.3653199
Jonas Kirch, Sebastian Becker, Tiago Koketsu Rodrigues, and Stefan Harmeling, “DFCA: Decentralized Federated Clustering Algorithm,” in IEEE Internet of Things Journal, Early Access. DOI: 10.1109/JIOT.2026.3669440
Yawen Tan, Tiago Koketsu Rodrigues, Nei Kato, Masayuki Ariyoshi, Yohei Hasegawa, “Pivotal AI Paradigms for Satellite Communication Security: From Machine Learning to Large Language Models,” in IEEE Communications Surveys and Tutorials, Early Access. DOI: 10.1109/COMST.2026.3658670
Jihwan Lee, Youngwook Son, Tiago Koketsu Rodrigues, Yishi Zhu, Chulyoung Kwak, and Saewoong Bahk, “TouchAI: Towards Waterproof Mobile Touchscreen Interface via Acoustic-Inertial Sensing Modalities,” in IEEE Internet of Things Journal, Early Access. DOI: 10.1109/JIOT.2025.3646116
Reham Wafaee Ibrahim, Tiago Koketsu Rodrigues, Nei Kato, Masayuki Ariyoshi, and Yohei Hasegawa, “Latency-Aware Task Offloading in Multi-Tier SAGIN with FSO-Enabled Mobile Edge Computing,” in IEEE Transactions on Vehicular Technology, Early Access. DOI: 10.1109/TVT.2025.3639568
Yawen Tan, Tiago Koketsu Rodrigues, Qi Guo, Nei Kato, Masayuki Ariyoshi, and Yohei Hasegawa, “Virtualized Service Orchestration in Space-Air-Ground Integrated Networks: Challenges and Future Directions,” in IEEE Network, Early Access. DOI: 10.1109/MNET.2025.3603633
Mina Kato, Tiago Koketsu Rodrigues, and Nei Kato, “Breakout Local Search Solution to the Offloading Decision Problem in a Multi-Access Edge Computing Cloud-enabled Network,” in IEEE Transactions on Emerging Topics in Computing, Early Access. DOI: 10.1109/TETC.2025.3598369
Xun Yuan, Mina Kato, Tiago Koketsu Rodrigues, Fengxiao Tang, Ming Zhao, and Nei Kato, “Breakout Local Search for Load-Balanced Federated Learning in Multi-BS Networks,” in IEEE Transactions on Emerging Topics in Computing, vol. 14, no. 1, pp. 364-376, March 2026. DOI: 10.1109/TETC.2026.3667101
Lihong Zhong, Bin Wang, Zhao Tian, Tiago Koketsu Rodrigues, Wei Liu, and Wei She, “Multi-View Spatio-Temporal Dynamic Graph Convolution Network for Traffic Flow Prediction,” in IEEE Internet of Things Journal, vol. 12, no. 18, pp. 37062-37076, September 2025. DOI: 10.1109/JIOT.2025.358078
Reham Wafaee Ibrahim, Tiago Koketsu Rodrigues, Nei Kato, Masayuki Ariyoshi, “Evaluating C/N and BER in FSO Vehicular-HAP-Satellite Links Under Rain and Cloud Scattering,” in IEEE Wireless Communications Magazine, vol. 14, no. 7, pp. 1874-1878, July 2025. DOI: 10.1109/LWC.2025.3556742
Norranat Songsriboonsit, Tiago Koketsu Rodrigues, Yuichi Kawamoto, Yasutaka Yamashita, Marika Morikawa, and Nei Kato, “Prediction-Based Link Selection With Machine Learning in HAP-Assisted FSO Networks,” in IEEE Wireless Communications Magazine, vol. 14, no. 4, pp. 1024-1028, April 2025. DOI: 10.1109/LWC.2025.3530481
Mina Kato, Tiago Koketsu Rodrigues, Toru Abe, and Takuo Suganuma, “Exploiting Radio Frequency Characteristics with a Support Unmanned Aerial Vehicle to Improve Wireless Sensor Location Estimation Accuracy,” in IEEE Internet of Things Journal, vol. 11, no. 24, pp. 39570-39578, December 2024. DOI: 10.1109/JIOT.2024.3448394
Masayuki Ariyoshi, Junichi Funada, Emmanuel Le Taillandier de Gabory, Shigeru Asai, Tiago Koketsu Rodrigues, Yuichi Kawamoto, and Nei Kato, “Challenges and Machine Learning Solutions for Optical Communications in Space-Air- Ground Integrated Networks for 6G,” in IEEE Wireless Communications, vol. 31, no. 6, pp. 21-28, December 2024. DOI: 10.1109/MWC.015.2300598
Tiago Koketsu Rodrigues, Shikhar Verma, Yuichi Kawamoto, Nei Kato, Mostafa M. Fouda, and Muhammad Ismail, “Smart Handover with Predicted User Behavior using Convolutional Neural Networks for WiGig Systems,” in IEEE Network, vol. 38, no. 4, pp. 190-196, July 2024. DOI: 10.1109/MNET.2024.3353301
Shikhar Verma, Tiago Koketsu Rodrigues, Yuichi Kawamoto, and Nei Kato, “A Survey on Multi-AP Coordination Approaches over Emerging WLANs: Future Directions and Open Challenges,” in IEEE Communications Surveys and Tutorials, vol. 26, no.2, pp. 858-889, Second Quarter 2024. DOI: 10.1109/COMST.2023.3344167
Qi Guo, Fengxiao Tang, Tiago Koketsu Rodrigues, and Nei Kato, “Five Disruptive Technologies in 6G to Support Digital Twin Networks,” in IEEE Wireless Communications Magazine, vol. 31, no. 1, pp. 149-155, February 2024. DOI: 10.1109/MWC.013.2200296
Chanyoung Park, Won Joon Yun, Pyoung Jae, Tiago Koketsu Rodrigues, Soohyun Park, Soyi Jung, and Joongheon Kim, “Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems,” in IEEE Internet of Things Journal, vol. 10, no. 22, pp. 20033-20048, November 2023. DOI: 10.1109/MWC.013.2200296
Tiago Koketsu Rodrigues, and Nei Kato, “Hybrid Centralized and Distributed Learning for MEC-equipped Satellite 6G Networks,” in IEEE Journal on Selected Areas in Communications, vol. 41, no. 4, pp. 1201-1211, April 2023. DOI: 10.1109/JSAC.2023.3242700
Tiago Koketsu Rodrigues, Jiajia Liu, and Nei Kato, “Offloading Decision for Mobile Multi-Access Edge Computing in a Multi-Tiered 6G Network,” in IEEE Transactions on Emerging Topics in Computing, vol. 10, no. 3, pp. 1414-1427, September 2022. DOI: 10.1109/TETC.2021.3090061
Fengxiao Tang, Xuehan Chen, Tiago Koketsu Rodrigues, Ming Zhao, and Nei Kato, “Survey on Digital Twin Edge Networks (DITEN) towards 6G,” in IEEE Open Journal of the Communications Society, vol. 3, pp. 1360-1381, August 2022. DOI: 10.1109/OJCOMS.2022.3197811
Sai Xu, Jiajia Liu, Tiago Koketsu Rodrigues, and Nei Kato, “Robust Multi-User Beamforming for IRS-Enhanced Near-Space Downlink Communications Coexisting With Satellite System,” in IEEE Internet of Things Journal, vol. 9, no. 16, pp. 14900-14912, August 2022. DOI: 10.1109/JIOT.2021.3112595
Tiago Koketsu Rodrigues, Jiajia Liu, and Nei Kato, “Application of Cybertwin for Offloading in Mobile Multi-access Edge Computing for 6G Networks,” in IEEE Internet of Things Journal, vol. 8, no. 22, pp. 16231-16242, November 2021. DOI: 10.1109/JIOT.2021.3095308
Shangwei Zhang, Jiajia Liu, Tiago Koketsu Rodrigues, and Nei Kato, “Deep Learning Techniques for Advancing 6G Communications in Physical Layer,” in IEEE Wireless Communications, vol. 28, no. 5, pp. 141-147, October 2021. DOI: 10.1109/MWC.001.2000516
Tiago Koketsu Rodrigues, Katsuya Suto, Hiroki Nishiyama, Jiajia Liu, and Nei Kato, “Edge Cloud Server Deployment with Transmission Power Control through Machine Learning for 6G Internet of Things,” in IEEE Transactions on Emerging Topics in Computing, vol. 9, no. 4, pp. 2099-2108, Fourth Quarter 2021. DOI: 10.1109/TETC.2019.2963091
Tiago Koketsu Rodrigues, Katsuya Suto, Hiroki Nishiyama, Jiajia Liu, and Nei Kato, “Machine Learning meets Computation and Communication Control in Evolving Edge and Cloud: Challenges and Future Perspective,” in IEEE Communications Surveys and Tutorials, vol. 22, no. 1, pp. 38-67, First Quarter 2020. DOI: 10.1109/COMST.2019.2943405
Keisuke Miyanabe, Tiago Gama Rodrigues, Yunseong Lee, Hiroki Nishiyama, and Nei Kato, “An Internet of Things Traffic-Based Power Saving Scheme in Cloud-Radio Access Network,” in IEEE Internet of Things Journal, vol. 6, no. 2, pp. 3087-3096, April 2019. DOI: 10.1109/JIOT.2018.2878884
Hiroki Nishiyama, Tiago Gama Rodrigues, and Jiajia Liu, “A Probabilistic Approach to Deploying Disaster Response Network,” in IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 12086-12094, December 2018. DOI: 10.1109/TVT.2018.2872542
Tiago Gama Rodrigues, Katsuya Suto, Hiroki Nishiyama, Nei Kato, and Katsuhiro Temma, “Cloudlets Activation Scheme for Scalable Mobile Edge Computing with Transmission Power Control and Virtual Machine Migration,” in IEEE Transactions on Computers, vol. 67, no. 9, pp. 1287-1300, September 2018. DOI: 10.1109/TC.2018.2818144
Tiago Gama Rodrigues, Katsuya Suto, Hiroki Nishiyama, and Nei Kato, “Hybrid Method for Minimizing Service Delay in Edge Cloud Computing Through VM Migration and Transmission Power Control,” in IEEE Transactions on Computers, vol. 66, no. 5, pp. 810-819, May 2017. DOI : 10.1109/TC.2016.2620469
Conference Publications
Pujitha Mamillapalli, Shikhar Verma, Tiago Koketsu Rodrigues, and Abhinav Kumar, “Deep Reinforcement Learning for Interference Suppression in RIS-Aided Space-Air-Ground Integrated Networks,” 2026 IEEE International Conference on Communications (ICC), Glasgow, Scotland, UK, May 2026. Accepted
Marvin Eder, Tiago Koketsu Rodrigues, Yuichi Kawamoto, Nei Kato, Yohei Hasegawa, and Masayuki Ariyoshi, “Joint Consideration of Doppler Shift and Weather Attenuation in Ka-Band LEO Satellite Networks: Analysis of Combined Throughput Impact,” 2026 IEEE International Conference on Communications (ICC), Glasgow, Scotland, UK, May 2026. Accepted
Shikhar Verma, Tiago Koketsu Rodrigues, Nei Kato, Masayuki Ariyoshi, Yohei Hasegawa, “Mitigating Multi-Layer Jamming Attacks in Satellite-Air-Ground Integrated Networks,” 2025 IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, December 2025. Accepted
Mina Kato, Tiago Koketsu Rodrigues, and Shikhar Verma, “Novel Breakout Local Search for Offloading Tasks in Multi-Tiered Cloud Environment Considering Transmission and Processing,” 2025 9th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC), Beijing, China, November 2025. Accepted
Reham Wafaee Ibrahim, Tiago Koketsu Rodrigues, and Nei Kato, “Mobile Edge Computing Offloading for Static Users in a Free Space Optical Communications-Enabled Satellite-Air-Ground Integrated Network,” 2025 IEEE 102nd Vehicular Technology Conference (VTC-Fall), Chengdu, China, October 2025. Accepted
Tiago Koketsu Rodrigues, Norranat Songriboonsit, Shikhar Verma, “Weather Attenuation Dataset Generation Method for Prediction-based Control of Non-Terrestrial High-Frequency Wireless Networks,” 2025 21st IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS 2025), Tokyo, Japan, August 2025. DOI: 10.1109/APWCS67981.2025.11151891
Tiago Koketsu Rodrigues, “The Future of Deep Learning: Benefits of Federated Learning and How to Efficiently Apply it to 6G Heterogeneous Networks,” Tohoku U-NTU Symposium on AI and Human Studies, Sendai, Japan, March 2025
Tiago Koketsu Rodrigues, “Safe Deep Learning for Efficient Communication Resource Allocation in 6G Heterogeneous Networks,” 22nd ACM International Conference on Mobile Systems, Applications, and Services, Tokyo, Japan, June 2024
Tiago Koketsu Rodrigues, “Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift,” Annual Workshop on A3 Foresight Program, Naha, Japan, February 2024
Reham Wafaee Ibrahim, Tiago Koketsu Rodrigues, and Nei Kato, “Impact of UAV Failure and Rain Attenuation in Terahertz Signals for Aerial Edge Computing,” 2023 IEEE 98th Vehicular Technology Conference (VTC-Fall), Hong Kong, China, October 2023. DOI: 10.1109/VTC2023-Fall60731.2023.10333847
Eslam Hasan, Elmahedi Mahalal, Muhammad Ismail, Zi-Yang Wu, Mostafa Fouda, Tiago Koketsu Rodrigues, and Nei Kato, “Robust Deep Learning-based Indoor mmWave Channel Prediction Under Concept Drift,” 2023 IEEE 98th Vehicular Technology Conference (VTC-Fall), Hong Kong, China, October 2023. DOI: 10.1109/VTC2023-Fall60731.2023.10333513
Tiago Koketsu Rodrigues, “Combination of Distributed and Centralized Learning over Satellite Networks,” Annual Workshop on A3 Foresight Program, Seoul, Korea, February 2023
Tiago Koketsu Rodrigues, and Nei Kato, “Deep Q Networks with Centralized Learning over LEO Satellite Networks in a 6G Cloud Environment,” 2022 IEEE Global Communications Conference (GLOBECOM), Rio de Janeiro, Brazil, December 2022. DOI: 10.1109/GLOBECOM48099.2022.10000709
Tiago Koketsu Rodrigues, “Study on Deep Neural Networks Applied for Smart Access Point Association in 6G WiGig Networks,” Annual Workshop on A3 Foresight Program, Tokyo, Japan, December 2022
Lo Pang-Yun Ting, Tiago Koketsu Rodrigues, Nei Kato, and Kun-Ta Chuang, “Prediction of Network Traffic Load on High Variability Data Based on Distance Correlation,” 2020 IEEE 92nd Vehicular Technology Conference (VTC-Fall), Victoria, BC, Canada, November 2020. DOI: 10.1109/VTC2020-Fall49728.2020.9348769
Tiago Koketsu Rodrigues, Katsuya Suto, and Nei Kato, “Hyperparameter Study of Machine Learning Solutions for the Edge Server Deployment Problem,” 2019 IEEE 90th Vehicular Technology Conference (VTC-Fall), Honolulu, HI, USA, September 2019. DOI: 10.1109/VTCFall.2019.8891500
Tiago Gama Rodrigues, Katsuya Suto, Hiroki Nishiyama, and Nei Kato, “Cross-Acceleration Study of Particle Swarm Optimization Applied to Resource Minimization in Mobile Edge Computing,” 2018 IEICE General Conference, Tokyo Denki University, Tokyo, Japan, March 2018
Tiago Gama Rodrigues, Katsuya Suto, Hiroki Nishiyama, and Nei Kato, ” Parameter Analysis for the Application of Particle Swarm Optimization to the Multiple Cloudlets Edge Cloud Computing Problem,” 2017 IEICE Society Conference, Tokyo City University, Tokyo, Japan, September 2017
Tiago Gama Rodrigues, Katsuya Suto, Hiroki Nishiyama, and Nei Kato, “A PSO Model with VM Migration and Transmission Power Control for Low Service Delay in the Multiple Cloudlets ECC Scenario,” 2017 IEEE International Conference on Communications (ICC), Paris, France, May 2017. DOI: 10.1109/ICC.2017.7996358
Katsuya Suto, Tiago Gama Rodrigues, Hiroki Nishiyama, Nei Kato, Hirotaka Ujikawa, and Ken-Ichi Suzuki, “QoE-Guaranteed and Sustainable User Position Guidance for Post-Disaster Cloud Radio Access Network,” 2016 IEEE Global Communications Conference (GLOBECOM), Washington, DC, USA, December 2016. DOI: 10.1109/GLOCOM.2016.7842184
Tiago Gama Rodrigues, Katsuya Suto, Hiroki Nishiyama, Nei Kato, Kimihiro Mizutani, Takeru Inoue, and Osamu Akashi, “Towards a Low-Delay Edge Cloud Computing through a Combined Communication and Computation Approach,” 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), Montreal, QC, Canada, September 2016. DOI: 10.1109/VTCFall.2016.7881581
Tiago Gama Rodrigues, “A Study on Improving Service Delay and Sustainability in Edge Cloud Computing,” Annual Workshop on A3 Foresight Program, Pyeongchang, Korea, July 2016
Awards
IEEE International Conference on Network Intelligence and Digital Content Best Paper Award (November 2025)
IEEE Network Magazine Best Editor Award (May 2023)
A3 Workshop Best Presentation Award (February 2023)
IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award (October 2022)
Tohoku University Young Researcher Outstanding Research Award (March 2021)
Tohoku University RIEC Student Award (January 2021)
Ishida Minoru Memorial Foundation Research Encouragement Award (November 2020)
Tohoku University President’s Award (March 2020)
Tohoku University Graduate School of Information Science Dean’s Award (March 2020)
IEEE Transactions on Computers Best Paper Award (November 2019)
IEEE Transactions on Computers Spotlight Paper (September 2018)
Tohoku University Graduate School of Information Sciences PhD Course Midterm Best Presentation (July 2018)
IEEE ComSoc Sendai Chapter Student Excellent Research Award (November 2017)
Tohoku University Graduate School of Information Science Dean’s Award (March 2017)
IEEE VTS Tokyo Chapter 2016 Young Researcher Encouragement Award (November 2016)
A3 Workshop Best Presentation Award (July 2016)
