Shono Hiroshi

ショウノヒロシ | Shono Hiroshi

Affiliation and department：
Job title： Professor
Homepage URL (2)： https://www.mukogawa-u.ac.jp/gakuin/gyoseki/pdf/id_32308.pdf , https://scholar.google.com/citations?user=6mumOA8AAAAJ&hl=en

Research field (3)： Aquaculture , Applied mathematics and statistics , Statistical science

Research keywords (6)： Artificial Intelligence (Statitical machine learning, Deep learning etc.) , Statistical education and mathematical education , Biostatistics , Applied statistics , Fish Population Dynamics (Fish stock assessment and fish stock management) , Mathematical statistics and Data mining

Research theme for competitive and other funds (6)：

2016 - 2020 Development of predictive models based on bigdata using statistical machine learning for red tide and fishery in the southern Kyushu
2013 - 2016 Analysis of fishing efficiency by new statistical modeling: development of methods, application of pelagic fish and marine species near Kagoshima Bay
2000 - 2003 Developments of Accurate Estimation Procedures in the Statistical Region Estimation and Attempt of Practicability
Mathematicla Statistics
Applied Statistics, Biostatistics

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Papers (29)：

Tomoyuki Shikata, Goh Onitsuka, Hiroshi Shono, Makiko Hirai, Daiki Inokuchi, Kazuyoshi Miyamura. Meteorological factors influencing timing and magnitude of bloom by the noxious dinoflagellate Karenia mikimotoi in two bays of the Bungo Channel, Japan. Japan Agricultural Research Quarterly (JARQ). 2022. 56. 2. 189-198
Kiyonori TOMIYAMA, Hiroshi SHONO. The process that made Mathematical and Data Science a mandatory subject at Kagoshima University in 2020. 2021. 4. 101-116
冨山清升, 庄野宏. 数理データサイエンス教育を鹿児島大学の全学必修導入に至る経緯と今後の見直し. 第68回九州地区大学教育研究協議会発表論文集. 2019. 158-160
Hiroshi Okamura, Toshihide Kitakado, Hiroshi Shono. Analysis of fisheries data and prediction modelling. NIPPON SUISAN GAKKAISHI. 2017. 83. 5. 850-850
Hiroshi Shono, Keisuke Murata, Hiroki Nakashima, Koichi Yano, Hiromi Nishi. Prediction of red tide occurrence using sparse modeling. NIPPON SUISAN GAKKAISHI. 2017. 83. 5. 855-855

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MISC (89)：

Okamoto, H, Shono, H. Japanese longline CPUE for yellowfin tuna in the Indian Ocean up to 2009 standardized by general linear model. IOTC-2010-WPTT-30. 27pp. 2010
Okamoto, H, Shono, H. Japanese longline CPUE for bigeye tuna in the Indian Ocean up to 2009 standardized by GLM. IOTC-2010-WPTT-29. 14pp. 2010
Shono, H, Yeh, Y. M, Okamoto, H, Taylor I, Herrera, M, Million, J. Stock assessment for yellowfin tuna in the Indian Ocean from 1963 to 2009 by Stock Synthesis III (SS3) including tagging data. IOTC-2010-WPTT-45. 11pp. 2010
Shono, H. Confidence interval estimation of CPUE year trend in delta-type two-step model. WCPFC-SC6-2010/ME-WP-03. 8pp. 2010
Shono, H. Application of the Tweedie distribution to zero-catch data in CPUE analysis. WCPFC-SC6-2010/ME-WP-02. 11pp. 2010

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Books (1)：

Problems and outlook of direct methods for fish stock assessment under the new world marine regime
Kouseisya Kouseikaku Co.,Ltd. 2000 ISBN:9784769909132

Lectures and oral presentations (68)：

Red tide prediction in the Yatsushiro Sea by deep-learning using tendays-unit meteorological data
(The 2024 spring meeting of the Japanese Society of FIsheries Science (JSFS) 2024)
Red tide prediction in the Yatsushiro Sea by Elastic Net based on the tendays-unit meteorological data
(The 2023 spring meeting of the Japanese Society of FIsheries Science (JSFS) 2023)
Red tide prediction in the Yatsushiro Sea based on the tendays-unit meteorological data
(2022)
深層学習に基づく八代海の赤潮発生日・終息日の予測
(2019年度愛媛大学LaMer(化学汚染・沿岸環境研究拠点)シンポジウム「赤潮研究集会」 2020)
Red tide prediction in the Yatsushiro Sea by deep-learning based on the meteorological data
(The 2019 autumn meeting of the Japanese Society of Fisheries Science 2019)

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Works (6)：

JSPS KAKENHI (Grant-in-Aid for Scientific Research) "Model development of predictuion for fishery and red tide in the southern part of Kyushu district based on statistical machine learning using big data"
Hiroshi SHONO 2016 - 2020
JSPS KAKENHI (Grant-in-Aid for Scientific Research) "Analysis of fishing efficiency by new statistical modeling: development of methods, application of pelagic fish and marine species near Kagoshima Bay"
Hiroshi SHONO 2013 - 2016
八代海及び東シナ海における赤潮の発生予測とブリ養殖業への被害影響評価(一般社団法人水産資源・海域環境保全研究会2013年度助成研究)
研究代表者, 庄野宏 2013 - 2014
まき網の目合いを大きくした場合の中西部太平洋まぐろ類の小型魚混獲削減効果の推定(一般社団法人水産資源・海域環境保全研究会2011年度助成研究)
研究代表者, 庄野宏 2011 - 2012
統計数理研究所共同利用研究2「水産資源に対する観察データ解析のための統計推測」
研究代表者, 庄野宏 2005 - 2010

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Education (2)：

Chiba University Faculty of Science
University of Tsukuba

Professional career (3)：

Doctor of Systems management (Ph.D) (University of Tsukuba)
Master of Science (MS) (University of Tsukuba)
Bachelor of Science (Chiba University)

Work history (8)：

2019/09 - 2023/03 Hiroshima Institute of Technology Faculty of Engineering, Department of Architectural Engineering Professor
2017/04 - 2019/09 Kagoshima University Center for General Education, Institute of Conprehensive Education Associate Professor
2011/03 - 2017/03 Kagoshima University Faculty of Fisheries
2011/04 - 2013/03 The Institute of Statistical Mathematics
2010/04 - 2011/02 独立行政法人水産総合研究センター(現国立研究開発法人水産研究・教育機構)中央水産研究所(横浜庁舎) 水産遺伝子解析センター主任研究員(併任)

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Committee career (2)：

2021/04 - 2023/03 わが国周辺の水産資源の評価(TAC対象種を含む) 外部評価委員
2005/04 - 2010/12 水産資源管理談話会(主催:日本鯨類研究所)幹事

Awards (2)：

2016/11 - 南日本新聞社第65回南日本音楽コンクール作曲部門入選(大学・一般の部)
2009/06 - 平成21年度遠洋水産研究所研究奨励賞(業務上の表彰)

Association Membership(s) (6)：

Japanese Scoeity of Applied Statistics , The Behaviormetric Society of Japan , Japanese Society of Fisheries Oceanography , The Japanese Societty of Fisheries Science (JSFS) , The Japanese Statistical Society , The Biometric Society of Japan

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