ニュース

English follows the Japanese.


本研究科では、理化学研究所計算科学研究センターと連携して、各専門分野でHPC-AIを利活用する最先端の研究動向を紹介する英語講義「Emerging Frontiers of AI/HPC for Science」を後期に開講します。

  • 科目名:「Emerging Frontiers of AI/HPC for Science」
  • 使用言語:英語(自動翻訳字幕あり)
  • 対象:学内の大学院生・科目等履修生・聴講生・研究生、学外(社会人含む)の科目等履修生・聴講生
  • 開講時期:10月から1月の指定された水曜日(日時・トピックは下記参照)
  • 開講場所:神戸情報科学キャンパス 7F 大講義室(研究科学生には商科キャンパスへの学内配信あり)
  • 申請方法・期限
    • 情報科学研究科の大学院生:通常の後期履修登録の通り
    • 学内他部局の大学院生:部局ごとの後期履修登録の通り
      • 詳しくはユニバーサルパスポートをよく確認すること
    • 学外の聴講生・科目等履修生:
      • 本科目の履修にあたり、聴講生または科目等履修生の申込が必要です。入学料 28,200円、授業料 29,600円(合計57,800円)がかかります。規程・申請書をご確認ください。2026年8月31日(月)までに必要書類とともに下記の情報科学キャンパス経営部までお申し込み下さい。
  • 対面・遠隔配信に関して
    • 神戸情報科学キャンパス7F大講義室での対面による受講を推奨します。講師と直接に質疑応答、議論できる貴重な機会です。情報科学研究科の神戸商科キャンパス所属の学生には学内遠隔配信を行います。
    • 以下のいずれかに該当する学生は、Zoom webinarでの受講を認めます。
      • 神戸情報科学キャンパス・神戸商科キャンパス以外のキャンパスに在籍する者
      • 科目等履修生で、遠隔地に居住する者
      • 聴講生、研究生
    • Zoom受講を希望する方は、Google Form にて申し込みを行ってください。Zoom受講の申請は、履修登録または聴講生・科目等履修生としての申請とは別の手続です。Google Formへの回答のみでは、本科目を受講できません。また、以下の注意事項を確認ください。
      • メールアドレスの指定: 本学の正科生の方は、必ず県大Gmail(GUH)アドレスをご登録ください。
      • Zoomアカウントの作成: Zoomウェビナーは申込時のメールアドレスで認証を行います。登録したメールアドレスで事前にZoomアカウントを作成しておいてください。
      • 対応期間: 申請から対応完了まで1週間程度かかります。余裕を持って申請してください。
  • 問合せ先:兵庫県立大学神戸情報科学キャンパス 経営部 芝野・須賀
    Tel: 078-303-1905 / Email: p-office@gsis.u-hyogo.ac.jp
    住所: 〒650-0047 神戸市中央区港島南町7-1-28


日時・トピック

Date Time Lecturer Topic
7 Oct 14:40-16:10 Satoshi Matsuoka
(RIKEN R-CCS)
An Invitation to AI-HPC for Science
21 Oct 14:40-16:10 Kengo Nakajima
(University of Tokyo)
Integration of Simulation/Data/Learning and Beyond
21 Oct 16:20-17:50 Toshiyuki Imamura
(RIKEN R-CCS)
What is essential to the Ozaki scheme emulating FP64 format?
4 Nov 14:40-17:50 Tamiya Onodera (RIKEN R-CCS)
Miwako Tsuji (Tsukuba University)
Quantum Computing and Quantum HPC Hybrid Platform
18 Nov 14:40-17:50 Essam Rashed
(University of Hyogo)
AI for Medical Imaging Science: From Image Acquisition to Clinical Reporting
2 Dec 14:40-17:50 Kento Sato
(RIKEN R-CCS)
Advancing System Software for AI4S, FugakuNEXT, and Future Supercomputing
23 Dec 14:40-17:50 Tomohiro Fukushima
(Hokkaido University)
AI for Electrochemical Materials Research
6 Jan 14:40-17:50 Mohamed Wahib
(RIKEN R-CCS, Tokyo)
Scaling Artificial Intelligence on Supercomputers
20 Jan 14:40-16:10 Fumiyoshi Shoji
(RIKEN R-CCS)
A large-scale HPC operation powered by AI
20 Jan 16:20-17:50 Hayato Shiba
(University of Hyogo)
Brush Up


In collaboration with the RIKEN Center for Computational Science (R-CCS), our Graduate School will offer an English-conducted course titled "Emerging Frontiers of AI/HPC for Science" during the Fall (Second) Semester. This course will introduce cutting-edge research trends in the utilization of HPC-AI across various specialized fields.

  • Course Title: "Emerging Frontiers of AI/HPC for Science"
  • Language: English (with automated translated subtitles available)
  • Target Audience:
    • Internal: Graduate students, non-degree students (credited), auditors, and research students of this university
    • External: Non-degree students (credited) and auditors from outside the university (including working professionals)
  • Schedule: On designated Wednesdays from October to January (Please see the table for the schedule and topics)
  • Location: Large Lecture Room, 7th Floor, Kobe Port Island Campus (The lecture will also be broadcast to the Kobe Gakuen-toshi [Shoka] Campus for students of this Graduate School)
  • Application Method and Deadline:
    • Graduate students of the Graduate School of Information Science: Please register through the standard Fall Semester course registration process.
    • Graduate students of other departments within the university: Please register according to the Fall Semester course registration procedure of your respective department. Please check Universal Passport carefully for details.
    • External auditors / Non-degree students: To take this course, you must apply as an auditor or a non-degree student. An admission fee of 28,200 yen and a tuition fee of 29,600 yen (totaling 57,800 yen) will apply. Please review the regulations and application forms. Please submit the required documents to the Administration Department at the Kobe Port Island Campus (address below) by Monday, August 31, 2026.
  • In-Person vs. Online Streaming:
    • We highly recommend attending the lectures in person at the Large Lecture Room (7th Floor, Kobe Port Island Campus). This offers a valuable opportunity to ask questions and engage in discussions directly with the lecturers. For students of the Graduate School of Information Science based on the Kobe Gakuen-toshi (Shoka) Campus, an internal live stream will be provided.
    • Students who fall under any of the following categories are permitted to attend via Zoom Webinar:
      • Students affiliated with campuses other than the Kobe Port Island Campus or Kobe Gakuen-toshi (Shoka) Campus.
      • Non-degree students residing in remote areas.
      • Auditors and research students.
    • If you wish to attend via Zoom, please apply using the Google Form. Please note that applying for Zoom attendance is a separate procedure from course registration or applying as an auditor/non-degree student. You cannot take this course solely by submitting the Google Form. Please also keep the following precautions in mind:
      • Email Address: Regular students of University of Hyogo must register using their university Gmail (GUH) address.
      • Zoom Account Creation: The Zoom webinar authentication will be linked to the email address used during application. Please ensure you have created a Zoom account with your registered email address beforehand.
      • Processing Time: It takes about one week from application to completion. Please submit your application well in advance.
  • Contact Information:
    Administration Department, Kobe Port Island Campus, University of Hyogo
    Attn: Mr. Shibano, Ms. Suga
    Tel: 078-303-1905 / Email: p-office@gsis.u-hyogo.ac.jp
    Address: 7-1-28 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan

Schedule & Topics: See the table above.


研究科長 Dean of the Graduate School