採択のお知らせ｜Congratulations!(D1:大曽根 , D1:XUE) 採択のお知らせ｜Congratulations!（D1:Osone, D1:XUE)
筑波大学システム情報工学研究群の「若手研究者育成プログラム」に、当研究室の博士後期課程学生、Yuki OsoneさんとXue Sihuiさんが採択されました！
本プログラムは、博士後期課程の学生が自ら研究費を申請し、研究計画調書の作成から採択後の研究費管理まで、一連のプロセスを経験する制度です。今年度の採択率は約27％でした。
大曽根さんは、宇宙太陽光発電と蓄電池の協調運用に関する、チャレンジングで独自性の高い研究を提案しました。これまでの論文誌や国際会議での成果も、意欲的なテーマを実現できる研究者としての説得力につながったようです。
Sihuiさんは自然言語で表現された曖昧なEV充電要求を、実行可能な充電スケジュールへ変換できるかを検証する研究を提案しました。その高い実用性に加え、国際的なトップジャーナルへの掲載実績も評価されました。
「小平からの変化するコメントや要求にも前向きに対応し、修正と挑戦を続けてくれた二人に、指導教員として心から感謝しています。大曽根さん、Sihuiさん、採択おめでとうございます！」
(小平)
令和8年度採択者一覧
Yuki Osone and Xue Sihui, doctoral students in our laboratory, have been selected for the Young Researcher Training Program of the University of Tsukuba’s Degree Programs in Systems and Information Engineering!The program gives doctoral students the opportunity to apply for their own research funding and gain experience throughout the entire process—from preparing a research proposal to managing the awarded budget. This year’s acceptance rate was approximately 27%. Yuki proposed an ambitious and highly original research project on the coordinated operation of space-based solar power and battery energy storage systems. His achievements in journal publications and international conferences appear to have given the reviewers confidence in his ability to pursue such a challenging topic. Sihui proposed research examining whether ambiguous EV-charging requests expressed in natural language can be converted into feasible and executable charging schedules. The practical relevance of her research, together with her publication record in leading international journals, was highly evaluated."I sincerely appreciate how positively they responded to Kodaira’s changing comments and requests and how they continued revising their work and taking on new challenges.Congratulations, Yuki and Sihui! "(Kodaira)
Selected Students for 2026
Yuki proposed an ambitious and highly original research project on the coordinated operation of space-based solar power and battery energy storage systems. His achievements in journal publications and international conferences appear to have given the reviewers confidence in his ability to pursue such a challenging topic. Sihui proposed research examining whether ambiguous EV-charging requests expressed in natural language can be converted into feasible and executable charging schedules. The practical relevance of her research, together with her publication record in leading international journals, was highly evaluated."I sincerely appreciate how positively they responded to Kodaira’s changing comments and requests and how they continued revising their work and taking on new challenges.Congratulations, Yuki and Sihui! "(Kodaira)
Selected Students for 2026