{"id":5510,"date":"2024-03-29T06:36:04","date_gmt":"2024-03-28T21:36:04","guid":{"rendered":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/?page_id=5510"},"modified":"2026-02-10T12:29:01","modified_gmt":"2026-02-10T03:29:01","slug":"dissertation","status":"publish","type":"page","link":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/achievements-2\/dissertation\/","title":{"rendered":"Graduation thesis"},"content":{"rendered":"

2025<\/h4>\n

[Master Thesis]<\/h5>\n
    \n
  1. \u4e0b\u5185 \u826f\u592a, “\u7570\u7a2e\u30ce\u30fc\u30c9\u7fa4\u306e\u540c\u6642\u5229\u7528\u306b\u3088\u308b\u30b8\u30e7\u30d6\u5f85\u3061\u6642\u9593\u524a\u6e1b\u30b7\u30b9\u30c6\u30e0”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2026\u5e742\u6708.<\/li>\n
  2. ZHU BO, “Automatic Selection of Compiler Options using Reinforcement Learning”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2026\u5e742\u6708.<\/li>\n
  3. \u91ce\u53e3\u3000\u7965\u751f, “\u591a\u69d8\u306a\u30b8\u30e7\u30d6\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u30dd\u30ea\u30b7\u3092\u751f\u6210\u3059\u308b\u30af\u30e9\u30a6\u30c9\u30d0\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u74b0\u5883\u5411\u3051\u30b8\u30e7\u30d6\u30b9\u30b1\u30b8\u30e5\u30fc\u30e9”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2026\u5e742\u6708.<\/li>\n<\/ol>\n
    [Bachelor Thesis]<\/h5>\n
      \n
    1. \u77f3\u4e95 \u4eae, “\u30c7\u30a3\u30b9\u30a2\u30b0\u30ea\u30b2\u30fc\u30c6\u30c3\u30c9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u578b\u8a08\u7b97\u57fa\u76e4\u5411\u3051\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u624b\u6cd5”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2026\u5e742\u6708.<\/li>\n
    2. \u9580\u8107 \u9f8d\u8056, “\u591a\u69d8\u4f53\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0MIND\u306e\u9ad8\u901f\u5316\u201d, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2026\u5e742\u6708.<\/li>\n
    3. \u9ad9\u6728 \u5065\u4f51 , “\u9069\u5207\u306a\u884c\u52d5\u3092\u554f\u30464\u629e\u554f\u984c\u3092\u751f\u6210\u3059\u308b\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u5fdc\u7528\u4f5c\u554f\u652f\u63f4\u30c4\u30fc\u30eb”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2026\u5e742\u6708.<\/li>\n
    4. \u68ee\u8107 \u5065\u592a, “\u8a3a\u65ad\u30fb\u8a3a\u7642\u652f\u63f4AI\u958b\u767a\u306b\u5411\u3051\u305fHL7 FHIR\u6e96\u62e0\u30c7\u30fc\u30bf\u57fa\u76e4\u306e\u8a66\u4f5c\u3068\u8a55\u4fa1”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2026\u5e742\u6708.<\/li>\n<\/ol>\n

      2024<\/h4>\n

      [Master Thesis]<\/h5>\n
        \n
      1. \u6c60\u5c3e \u512a, “\u7d30\u7c92\u5ea6\u6765\u6b74\u63a1\u53d6\u30c4\u30fc\u30eb\u3092\u5bfe\u8c61\u3068\u3057\u305f\u30d5\u30a1\u30a4\u30eb\u64cd\u4f5c\u30ed\u30b0\u524a\u6e1b\u624b\u6cd5”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n
      2. \u6ff1\u91cc \u4fca\u8f14, “\u591a\u6570\u306e\u6e2c\u57df\u30bb\u30f3\u30b5\u3068\u30ab\u30e1\u30e9\u3067\u306e\u691c\u51fa\u7d50\u679c\u3092\u76f8\u88dc\u7684\u306b\u7d71\u5408\u3057\u305f\u4eba\u7269\u8ffd\u8de1\u624b\u6cd5”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n
      3. \u5ee3\u7530 \u6d0b\u5fd7\u90ce, “gPTP\u968e\u5c64\u5316\u306b\u3088\u308b\u5e83\u57df\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u5411\u3051\u9ad8\u7cbe\u5ea6\u6642\u523b\u540c\u671f\u624b\u6cd5”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n
      4. \u798f\u7530 \u8015\u5927, “\u9ad8\u6027\u80fd\u8a08\u7b97\u6a5f\u5411\u3051SmartNIC\u99c6\u52d5\u578b\u4f4e\u4fb5\u8972\u6027\u7279\u6a29\u6607\u683c\u76e3\u8996\u6a5f\u69cb”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n
      5. \u5b89\u7530 \u5149\u8f1d, “\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u5fdc\u7528\u3057\u305f4\u629e\u554f\u984c\u4f5c\u554f\u652f\u63f4\u30c4\u30fc\u30eb”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n<\/ol>\n
        [Bachelor Thesis]<\/h5>\n
          \n
        1. \u677e\u672c\u7409\u5927\u685c, “\u900f\u904e\u6027\u3068\u4f4e\u904b\u7528\u30b3\u30b9\u30c8\u3092\u5b9f\u73fe\u3059\u308bJupyterHub\u5411\u3051\u30af\u30e9\u30a6\u30c9\u30d0\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u6280\u8853”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n
        2. \u9577\u7530\u4f91\u99ac, “\u4e26\u5217\u5206\u6563\u6642\u7cfb\u5217\u753b\u50cf\u51e6\u7406\u306b\u5bfe\u3059\u308b\u901a\u4fe1\u30aa\u30fc\u30d0\u30fc\u30e9\u30c3\u30d7\u624b\u6cd5\u306e\u9069\u7528\u6027\u8a55\u4fa1”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n
        3. \u6771\u90f7\u51dc\u592a\u6717, “SQUID GPU\u30ce\u30fc\u30c9\u306b\u304a\u3051\u308b\u5206\u6563\u6df1\u5c64\u5b66\u7fd2\u306e\u6027\u80fd\u5206\u6790\u30fb\u6700\u9069\u5316”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n
        4. \u6ce2\u591a\u91ce\u9678, “\u4eba\u7269\u8ffd\u8de1\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u51e6\u7406\u306b\u5411\u3051\u305f\u30d1\u30e9\u30e1\u30fc\u30bf\u9078\u629e\u306e\u691c\u8a0e”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2025\u5e742\u6708.<\/li>\n<\/ol>\n

          2023<\/h4>\n

          [Master Thesis]<\/h5>\n
            \n
          1. \u4e95\u4e0a \u7a1c\u99ac, \u201c\u30b7\u30f3\u30b0\u30eb\u30ab\u30e1\u30e9\u30c8\u30e9\u30c3\u30ad\u30f3\u30b0\u306e\u691c\u51fa\u8aa4\u5dee\u306b\u5bfe\u51e6\u53ef\u80fd\u306a\u30de\u30eb\u30c1\u30ab\u30e1\u30e9\u30c8\u30e9\u30c3\u30ad\u30f3\u30b0\u201d, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2024\u5e742\u6708.<\/li>\n
          2. \u9ad8\u5d8b \u548c\u8cb4, \u201cDPU\u3092\u6d3b\u7528\u3057\u305f\u30c7\u30fc\u30bf\u5727\u7e2e\u306b\u3088\u308bMPI\u30ce\u30fc\u30c9\u9593\u901a\u4fe1\u30c7\u30fc\u30bf\u91cf\u306e\u524a\u6e1b\u201d, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2024\u5e742\u6708.<\/li>\n
          3. \u5510 \u4e2d\u535a, \u201cInference of Tooth Numbers on Panoramic X-ray Images by applying Deep Learning with Domain Knowledge\uff08\u6df1\u5c64\u5b66\u7fd2\u3068\u30c9\u30e1\u30a4\u30f3\u77e5\u8b58\u3092\u5fdc\u7528\u3057\u305f\u6b6f\u79d1\u30d1\u30ce\u30e9\u30de\u30a8\u30c3\u30af\u30b9\u7dda\u5199\u771f\u304b\u3089\u306e\u6b6f\u5f0f\u63a8\u5b9a), \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2024\u5e742\u6708.<\/li>\n
          4. \u6751\u91cd \u572d\u4eae, \u201c\u30b9\u30de\u30fc\u30c8\u30d5\u30a9\u30f3\u30bb\u30f3\u30b5\u3092\u6d3b\u7528\u3057\u305f\u9053\u8def\u7279\u5fb4\u306b\u57fa\u3065\u304f\u81ea\u8ee2\u8eca\u7528\u30eb\u30fc\u30c8\u63a8\u85a6\u30b7\u30b9\u30c6\u30e0\u306e\u958b\u767a\u201d, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2024\u5e742\u6708.<\/li>\n
          5. \u5c71\u5d0e \u885b, \u201cDetNet\u306b\u304a\u3051\u308bSRv6\u3092\u7528\u3044\u305f\u5206\u6563\u578b\u30bf\u30a4\u30e0\u30b9\u30ed\u30c3\u30c8\u4e88\u7d04\u30d7\u30ed\u30c8\u30b3\u30eb\u201d, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2024\u5e742\u6708.<\/li>\n
          6. \u548c\u7530 \u54f2\u4e5f, \u201c\u30b8\u30e7\u30d6\u6295\u5165\u5c65\u6b74\u3068\u30b8\u30e7\u30d6\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u8003\u616e\u3057\u305f\u30b8\u30e7\u30d6\u5b9f\u884c\u6642\u9593\u4e88\u6e2c\u201d, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2024\u5e742\u6708.<\/li>\n<\/ol>\n
            [Bachelor Thesis]<\/h5>\n
              \n
            1. \u4e0b\u5185\u826f\u592a, \u201cAlphaFold2\u306b\u304a\u3051\u308b\u69cb\u9020\u6700\u9069\u5316\u30b9\u30c6\u30c3\u30d7\u306e\u2fbc\u901f\u5316\u201d, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2024\u5e742\u6708.<\/li>\n
            2. \u897f\u7530\u5b54\u592a, “\u753b\u50cf\u51e6\u7406\u30bf\u30b9\u30af\u3092\u2f64\u3044\u305fAI\u30a2\u30af\u30bb\u30e9\u30ec\u30fc\u30bf\u306e\u8a55\u4fa1\u201d, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2024\u5e742\u6708.<\/li>\n
            3. \u91ce\u53e3\u7965\u751f, \u201c\u30e6\u30fc\u30b6\u5229\u2f64\u6a5f\u4f1a\u516c\u5e73\u6027\u3092\u8003\u616e\u3059\u308b\u30af\u30e9\u30a6\u30c9\u30d0\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u74b0\u5883\u5411\u3051\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u2f3f\u6cd5\u306e\u63d0\u6848\u201d, 2024\u5e742\u6708.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"

              2025 [Master Thesis] \u4e0b\u5185 \u826f\u592a, “\u7570\u7a2e\u30ce\u30fc\u30c9\u7fa4\u306e\u540c\u6642\u5229\u7528\u306b\u3088\u308b\u30b8\u30e7\u30d6\u5f85\u3061\u6642\u9593\u524a\u6e1b\u30b7\u30b9\u30c6\u30e0”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2026\u5e742\u6708. ZHU BO, “Automatic Selection of Compiler Options using Reinforcement Learning”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2026\u5e742\u6708. \u91ce\u53e3\u3000\u7965\u751f, “\u591a\u69d8\u306a\u30b8\u30e7\u30d6\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u30dd\u30ea\u30b7\u3092\u751f\u6210\u3059\u308b\u30af\u30e9\u30a6\u30c9\u30d0\u30fc\u30b9\u30c6\u30a3\u30f3\u30b0\u74b0\u5883\u5411\u3051\u30b8\u30e7\u30d6\u30b9\u30b1\u30b8\u30e5\u30fc\u30e9”, \u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u60c5\u5831\u79d1\u5b66\u7814\u7a76\u79d1\u4fee\u58eb\u5b66\u4f4d\u8ad6\u6587, 2026\u5e742\u6708. [Bachelor Thesis] \u77f3\u4e95 \u4eae, “\u30c7\u30a3\u30b9\u30a2\u30b0\u30ea\u30b2\u30fc\u30c6\u30c3\u30c9\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u578b\u8a08\u7b97\u57fa\u76e4\u5411\u3051\u30b9\u30b1\u30b8\u30e5\u30fc\u30ea\u30f3\u30b0\u624b\u6cd5”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2026\u5e742\u6708. \u9580\u8107 \u9f8d\u8056, “\u591a\u69d8\u4f53\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0MIND\u306e\u9ad8\u901f\u5316\u201d, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2026\u5e742\u6708. \u9ad9\u6728 \u5065\u4f51 , “\u9069\u5207\u306a\u884c\u52d5\u3092\u554f\u30464\u629e\u554f\u984c\u3092\u751f\u6210\u3059\u308b\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\u5fdc\u7528\u4f5c\u554f\u652f\u63f4\u30c4\u30fc\u30eb”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2026\u5e742\u6708. \u68ee\u8107 \u5065\u592a, “\u8a3a\u65ad\u30fb\u8a3a\u7642\u652f\u63f4AI\u958b\u767a\u306b\u5411\u3051\u305fHL7 FHIR\u6e96\u62e0\u30c7\u30fc\u30bf\u57fa\u76e4\u306e\u8a66\u4f5c\u3068\u8a55\u4fa1”, \u5927\u962a\u5927\u5b66\u5de5\u5b66\u90e8\u5352\u696d\u8ad6\u6587, 2026\u5e742\u6708. 2024 [Master …<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":46,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5510","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/pages\/5510","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/comments?post=5510"}],"version-history":[{"count":9,"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/pages\/5510\/revisions"}],"predecessor-version":[{"id":7633,"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/pages\/5510\/revisions\/7633"}],"up":[{"embeddable":true,"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/pages\/46"}],"wp:attachment":[{"href":"https:\/\/www.ais.cmc.osaka-u.ac.jp\/date\/en\/wp-json\/wp\/v2\/media?parent=5510"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}