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Master's Student / Network Researcher / Engineer

Yuto Niki

Computer Networks, Protocol, Medical Imaging Engineering

I build human-centered systems across networking, machine learning, embedded devices, and web interfaces. My work focuses on turning technical ideas into useful, reliable experiences.

Explore Research Open Links
01
Networking Research
02
Medical AI Research
03
Student Projects
About
I am a master's student at Okayama University with interests in computer systems, networking, machine learning, and human-centered design. I enjoy combining research and implementation, especially when the result can be used in real environments.
Biography
2025/04 −
Okayama University, Graduate School of Interdisciplinary Science and Engineering in Health Systems, Medical Devices and Materials Engineering Section
2025/04 −
Okayama University Hospital, Center of Clinical Oncology, Technical Assistant
2024/09 - 2025/03
Okayama University, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Technical Assistant
2022/04 - 2025/03
Communication and Network Engineering Track
2021/04 - 2025/03
Okayama University, School of Engineering, Information Technology, Electrical Engineering, and Mathematical and Data Sciences Program
Research
01

Multipath TCP Congestion Control Algorithms

Research on improving throughput fairness between Multipath TCP and standard TCP under heterogeneous network conditions, with a focus on congestion control behavior and practical evaluation.

MPTCP Congestion Control Fairness
02

Dominant Mechanism of Resistance to CDK4/6 Inhibitors

Research on the dominant mechanisms of resistance to CDK4/6 inhibitors in cancer cells, focusing on molecular targets and therapeutic strategies.

AI Embedded Web Systems
Achievements
  1. Maki Tanioka, Taiyo Nakayama, Yuto Niki, Kosuke Tohda, and Taichi Hirose, Daisuke Takabatake, Kenichi Morooka, Akihiro Nakaya, Tadahiko Shien. "Deep Learning-guided Spatial Transcriptomics Identifies KRAS signaling as the Dominant Mechanism of Resistance to CDK4/6 Inhibitors", San Antonio Breast Cancer Symposium, PS3-06-18, Dec 9, 2025
  2. Maki Tanioka, Nakayama Taiyo, Tomoki Marutani, Yuto Niki, Kenichi Morooka, Akihiro Nakaya、Tadahiko Shien. "Novel Targets of CDK4/6 Inhibitors Identified Through Histopathology-Based AI Models and Spatial Transcriptomics", 日本癌学会口演, 2025年9月27日
  3. Yuto Niki, Hideyoshi Miura, Yuya Tarutani, Yukinobu Fukushima, Tokumi Yokohira. "Investigation of Throughput Fairness in an Environment of Coexistence of Single Path TCP and Multipath TCP − Case of Coexistence of CUBIC and LIA", IECIE Society Conference 2025.
  4. 谷岡真樹, 中山 太陽, 丸谷智輝, 仁木優斗, 遠田光佑, 廣瀬泰一, LI ZEHAO, 宮内翔子, 諸岡 健一, 中谷明宏, 枝園 忠彦. "説明可能深層学習と空間的遺伝子発現を融合した薬剤の新規創薬標的の同定", 日本乳癌学会シンポジウム招待講演, 2025年6月27日