|
|
情報・システムソサイエティは，人工知能，データサイエンス，DX など，国策として重要視される基盤技術を担う極めて重要な学術コミュニティです．しかし，人口減少に伴う理系人材の不足や，生成 AI の急速な発展による専門人材需要の高まりの中，学生や若手研究者が長期化した就職活動に時間を奪われ，教育・研究機会を十分に確保できない現状は深刻です．2024年度会長・山中先生の声明「大学院生の教育機会を尊重した求人スタイルへの移行に向けて」が示すように，学生本来の学修・研究時間を確保することは，学会全体で取り組むべき重要課題です．私は，学会活動を通じた人材発掘を積極的に推進し，研究成果に基づき学生が評価される環境の実現を，他学会とも連携しながら目指します．また，研究者が直面する多様な制約下でも生産性を最大化できるよう，研究会運営のさらなる効率化や，若手・シニア双方への支援強化を図り，研究とキャリア形成の両立を支える体制を整えます．産学が協調し，学生・若手が本来の力を発揮できる生態系を築くことで，分野の発展と日本の競争力向上に寄与したいと考えています．
1992年中部大・工・電子工学卒．1994年中部大大学院電気工学専攻修士課程修了．1997年中部大大学院研究科博士課程満期退学，博士（工学）取得．その後，米国カーネギーメロン大学にてポスドク研究員を経て，2000年講師，2004年助教授，2010年教授，現在に至る．コンピュータビジョンに関する研究に従事．2019年 MIRU長尾賞，2013年ISSソサイエティ論文賞，2023年本会論文賞等受賞．JSTさきがけ「信頼されるAI」「実世界知能基盤」，創発「後藤パネル」のアドバイザを務める．本会では，2016-2017年 パターン認識・メディア理解研究会副委員長を歴任．2021年フェロー．
The Information and Systems Society (ISS) plays a vital role in supporting nationally important fields such as artificial intelligence, data science, and digital transformation. Yet our community faces a pressing challenge: Japan’s declining population and the rapid rise of generative AI have intensified the shortage of STEM talent. Students and young researchers are burdened by increasingly prolonged job-hunting activities, limiting the time they can dedicate to learning and research. As highlighted in former President Yamanaka’s 2024 statement, “Toward a Recruitment Style that Respects Graduate Students’ Educational Opportunities,” ensuring that students can focus on their studies and research is a shared responsibility of the academic community. I fully support this principle. I aim to promote talent discovery through ISS activities and encourage companies to engage with students in settings where their true academic strengths can be fairly recognized. At the same time, I will improve the efficiency of research meeting operations and strengthen support for both early-career and senior researchers. By fostering closer collaboration between academia and industry, I hope to build an environment in which young researchers can fully demonstrate their abilities and contribute to Japan’s scientific and technological competitiveness.
Hironobu Fujiyoshi received his B.E. degree in Electronic Engineering from Chubu University in 1992 and his M.E. degree in Electrical Engineering from the Graduate School of Chubu University in 1994. He completed the doctoral program requirements at Chubu University in 1997 and subsequently received his Ph.D. in Engineering. After serving as a postdoctoral researcher at Carnegie Mellon University in the United States, he joined Chubu University as a lecturer in 2000, became an associate professor in 2004, and has been a professor since 2010. His research focuses on computer vision. He has received several domestic awards, including, the ISS Society Paper Award in 2013, the MIRU Nagao Award in 2019, and the IEICE Best Paper Award in 2023. He has served as an advisor for JST PRESTO programs “Trusted AI” and “Intelligence Integrated with the Real World,” as well as for the JST FOREST “Goto Panel.” Within ISS, he served as Vice Chair of the Technical Committee on Pattern Recognition and Media Understanding (PRMU) from 2016 to 2017. He was named a Fellow of the society in 2021.
| BACK |