マルチメディア信号処理,データマイニングに関する研究に従事.
博士(情報科学).
IEEE,ACM,電子情報通信学会,映像情報メディア学会 会員.
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<研究業績> <受賞> <競争的資金>
● 職歴
- 2023年10月~現在 長岡技術科学大学 電気電子情報系 准教授
- 2022年4月~2023年9月 長岡技術科学大学 電気電子情報系 助教
- 2019年4月~2022年3月 長岡技術科学大学 電気電子情報工学専攻 助教
- 2018年4月~2019年3月 北海道大学 大学院情報科学研究科 特任助教
- 2016年4月~2018年3月 日本学術振興会 特別研究員 (PD)
● 学歴
- 2015年4月~2016年3月 北海道大学 大学院情報科学研究科 博士後期課程 (在学期間短縮)
- 2013年4月~2015年3月 北海道大学 大学院情報科学研究科 修士課程
- 2009年4月~2013年3月 北海道大学 工学部
● 研究業績
査読付き論文誌 (フルペーパー)
- K. Ohtomo, R. Harakawa, M. Iisaka, and M. Iwahashi, “AM-Bi-LSTM: Adaptive multi-modal Bi-LSTM for sequential recommendation,” IEEE Access, vol. 12, pp. 12720-12733, 2024. (IF:3.9) [paper]
- D. Okamura, R. Harakawa, and M. Iwahashi, “LCNME: Label Correction Using Network Prediction Based on Memorization Effects for Cross-Modal Retrieval with Noisy Labels,” IEEE Trans. Circuits and Systems for Video Technology (IEEE TCSVT), vol. 34, no. 1, pp. 590-602, 2024. (IF:8.4) [paper]
- Y. Kitahara, A. Itani, K. Ohtomo, Y. Oda, Y. Takahashi, M. Okamura, M. Mizoshiri, Y. Shida, T. Nakamura, R. Harakawa, M. Iwahashi, and W. Ogasawara, “The monitoring of oil production process by deep learning based on morphology in oleaginous yeasts,” Applied Microbiology and Biotechnology (AMAB), vol. 107, pp. 915-929, 2023. (IF:5.0) [paper]
- R. Harakawa, T. Ito, and M. Iwahashi, “Trend Clustering From COVID-19 Tweets Using Graphical Lasso-Guided Iterative Principal Component Analysis,” Scientific Reports, vol. 12, Art. no. 5709, pp. 1-13, 2022. (IF:4.6) [paper]
- K. Ohtomo, R. Harakawa, T. Ogawa, M. Haseyama, and M. Iwahashi, “User-centric Multimodal Feature Extraction for Personalized Retrieval of Tumblr Posts,” Multimedia Tools and Applications (MTAP), vol. 81, pp. 2979-3003, 2022. (IF:3.6) [paper]
- R. Harakawa and M. Iwahashi, “Ranking of Importance Measures of Tweet Communities: Application to Keyword Extraction from COVID-19 Tweets in Japan,” IEEE Trans. Computational Social Systems (IEEE TCSS), vol. 8, no. 4, pp. 1030-1041, 2021. (IF:5.0) [paper]
- T. Isobe, Y. Takimoto, R. Harakawa, and M. Iwahashi, “Development of System to Classify Speckle Images for Visual Inspection of Cutlery,” ITE Trans. Media Technology and Applications (ITE MTA), vol. 9, no. 3, pp. 169-179, 2021. (IF:1.1) [paper]
- Y. Takimoto, R. Harakawa, and M. Iwahashi, “Hue-based gray coding method for three-dimensional surface measurement of cutlery with specular reflection,” IEEE Trans. Circuits and Systems for Video Technology (IEEE TCSVT), vol. 31, no. 4, pp.1323-1331, 2021. (IF:8.4) [paper]
- Y. Akamatsu, R. Harakawa, T. Ogawa, and M. Haseyama, “Perceived Image Decoding from Brain Activity Using Shared Information of Multi-subject fMRI Data,” IEEE Access, vol. 9, pp. 26593-26606, 2021. (IF:3.9) [paper]
- S. Minewaki, Y. Umeki, R. Harakawa, and M. Iwahashi, “Noise bias compensation for color images after tone mapping,” ITE Trans. Media Technology and Applications (ITE MTA), vol. 9, no. 1, pp. 13-24, 2021. (IF:1.1) [paper]
- K. Ohtomo, R. Harakawa, T. Ogawa, M. Haseyama, and M. Iwahashi, “Personalized recommendation of Tumblr posts using graph convolutional networks with preference-aware multimodal features,” ITE Trans. Media Technology and Applications (ITE MTA), vol. 9, no. 1, pp. 54-61, 2021. (IF:1.1) [paper]
- T. Oga, R. Harakawa, S. Minewaki, Y. Umeki, Y. Matsuda, and M. Iwahashi, “River state classification combining patch-based processing and CNN,” PLOS ONE, vol. 15, no. 12, pp. 1-14, 2020. (IF:3.7) [paper]
- S. Nagai, K. Yamazaki, M. Tsumori, Y. Takahashi, R. Harakawa, K. Takahashi, T. Sasaki, T. Kikuchi, and M. Iwahashi, “Construction of multi-directional high-speed imaging system using a streak camera and image compression method,” High Energy Density Physics, vol. 37, pp. 100902-1 – 100902-7, 2020. (IF:1.6) [paper]
- Y. Akamatsu, R. Harakawa, T. Ogawa, and M. Haseyama, “Brain decoding of viewed image categories via semi-supervised multi-view Bayesian generative model,” IEEE Trans. Signal Processing (IEEE TSP), vol. 68, pp. 5769-5781, 2020. (IF:5.4) [paper]
- Y. Matsumoto, R. Harakawa, T. Ogawa, and M. Haseyama, “Context-aware network analysis of music streaming services for popularity estimation of artists,” IEEE Access, vol. 8, pp. 48673-48685, 2020. (IF:3.9) [paper]
- R. Harakawa, S. Takimura, T. Ogawa, M. Haseyama, and M. Iwahashi, “Consensus clustering of tweet networks via semantic and sentiment similarity estimation,” IEEE Access, vol. 7, pp. 116207-116217, 2019. (IF:3.9) [paper]
- Y. Matsumoto, R. Harakawa, T. Ogawa, and M. Haseyama, “Music video recommendation based on link prediction considering local and global structures of a network,” IEEE Access, vol. 7, pp. 104155-104167, 2019. (IF:3.9) [paper]
- R. Harakawa, T. Ogawa, T. Akamatsu, and M. Haseyama, “Automatic detection of fish sounds based on multi-stage classification including logistic regression via adaptive feature weighting,” Journal of the Acoustical Society of America (JASA), vol. 144, no. 5, pp. 2709-2718, 2018. (IF:2.4) [paper]
- R. Harakawa, T. Ogawa, and M. Haseyama, “Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discovery,” Multimedia Tools and Applications (MTAP), vol. 77, no. 16, pp. 20297-20324, 2018. (IF:3.6) [paper]
- R. Harakawa, D. Takehara, T. Ogawa, and M. Haseyama, “Sentiment-aware personalized tweet recommendation through multimodal FFM,” Multimedia Tools and Applications (MTAP), vol. 77, no. 14, pp. 18741-18759, 2018. (IF:3.6) [paper]
- R. Harakawa, T. Ogawa, and M. Haseyama, “Extracting hierarchical structure of Web video groups based on sentiment-aware signed network analysis,” IEEE Access, vol. 5, pp. 16963-16973, 2017. (IF:3.9) [paper]
- D. Takehara, R. Harakawa, T. Ogawa, and M. Haseyama, “Extracting hierarchical structure of content groups from different social media platforms using multiple social metadata,” Multimedia Tools and Applications (MTAP), vol. 76, no. 19, pp. 20249-20272, 2017. (IF:3.6) [paper]
- R. Harakawa, T. Ogawa, and M. Haseyama, “A Web video retrieval method using hierarchical structure of Web video groups,” Multimedia Tools and Applications (MTAP), vol. 75, no. 24, pp. 17059-17079, 2016. (IF:3.6) [paper]
- R. Harakawa, T. Ogawa, and M. Haseyama, “Accurate and efficient extraction of hierarchical structure of Web communities for Web video retrieval,” ITE Trans. Media Technology and Applications (ITE MTA), vol. 4, no. 1, pp. 49-59, 2016. (IF:1.1) [paper]
- R. Harakawa, T. Ogawa, and M. Haseyama, “An efficient extraction method of hierarchical structure of Web communities for Web video retrieval,” ITE Trans. Media Technology and Applications (ITE MTA), vol. 2, no. 3, pp. 287-297, 2014. (IF:1.1) [paper]
査読付き論文誌 (レター)
- M. Tsumori, S. Nagai, R. Harakawa, T. Sasaki, and M. Iwahashi, “Contour-adaptive image restoration based on compressed sensing for ultrafast phenomena,” Applied Physics Letters (APL), vol. 117, no. 4, pp. 044102-1 – 044102-6, 2020. (IF:4.0) [paper] [supplementary material]
査読付き国際会議
- K. Ohtomo, Y. Kitahara, R. Harakawa, A. Nakamura, Y. Shida, W. Ogasawara, and M. Iwahashi, “Micro-Spatial Attention with Sparse Constraint for Self-Supervised Learning for Oleaginous Yeast Image Representation,” in Proc. IEEE Int. Conf. Visual Communications and Image Processing (VCIP), pp.1-5, 2023. [paper]
- R. Harakawa and M. Iwahashi, “Revealing Trend Clusters Influenced by a Social Event from COVID-19 Tweets in Japan,” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), pp. 2645-2646, 2023.
- R. Sato, R. Harakawa, and M. Iwahashi, “Video Prediction Based on Multi-Resolution Echo State Networks for a Jar Test,” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), pp. 1854-1859, 2023. [paper]
- O. K. Herath, K. Motoya, R. Harakawa, I. Kamiishi, T. Nakayama, M. Iwahashi, “Investigating the Impact of the Snow Removal Process by Introducing Image Processing into Interrupted Time Series Analysis,” in Proc. Int. Conf. Research for Transport and Logistics Industry (R4TLI), pp. 196-198, 2023.
- D. Okamura, R. Harakawa, and M. Iwahashi, “LCN: Label Correction Based on Network Prediction for Cross-Modal Retrieval with Noisy Labels,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 354-358, 2022. [paper]
- F. Nakamura, R. Harakawa, and M. Iwahashi, “SCQ: Self-Supervised Cross-Modal Quantization for Unsupervised Large-Scale Retrieval,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1337-1342, 2022. [paper]
- D. Nishikawa, R. Harakawa, and M. Iwahashi, “MULTI-VIEW VARIATIONAL AUTOENCODER FOR ROBUST CLASSIFICATION AGAINST IRRELEVANT DATA,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1703-1707, 2021. [paper]
- F. Nakamura, R. Harakawa, and M. Iwahashi, “PRODUCT QUANTIZATION TO REDUCE ENTROPY OF LABELS FOR FAST AND ACCURATE IMAGE RETRIEVAL,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 1536-1540, 2021. [paper]
- D. Okamura, R. Harakawa, and M. Iwahashi, “Learning from Noisy Labeled Samples Using Prediction Norm for Image Classification,” in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics (SMC), pp. 214-219, 2021. [paper]
- K. Ohtomo, R. Harakawa, M. Iisaka, and M. Iwahashi, “Sequential Recommender System of Educational Contents with End-to-End Title Feature Extraction for Reducing Utility Gap,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), pp. 223-225, 2021. [paper]
- T. Ito, R. Harakawa, and M. Iwahashi, “Word Clustering Using Graphical Lasso-Guided PCA for Trend Analysis of COVID-19,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), pp. 226-227, 2021. [paper]
- R. Harakawa, K. Ohtomo, K. Takahashi, Y. Matsuda, and M. Iwahashi, “Hierarchical clustering of natural disaster images using visual features,” in Proc. IEEE Global Conf. Life Sciences and Technologies (LifeTech), pp. 124-125, 2021. 《3rd Prize, IEEE LifeTech 2021 Excellent Paper Awards for Oral Presentationを受賞》 [paper]
- K. Ohtomo, R. Harakawa, M. Iisaka, and M. Iwahashi, “Data augmentation using user attention for educational content recommendation based on FFM,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), pp. 568-569, 2020. [paper]
- K. Takahashi, R. Harakawa, M. Iisaka, and M. Iwahashi, “Weighted LDA using metadata for extracting topics needed by teachers,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), pp. 574-575, 2020. [paper]
- Y. Akamatsu, R. Harakawa, T. Ogawa, and M. Haseyama, “Multi-view Bayesian generative model for multi-subject fMRI data on brain decoding of viewed image categories,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), 2020, pp. 1215-1219. [paper]
- T. Oga, R. Harakawa, Y. Matsuda, and M. Iwahashi, “Correlation analysis of cyber-physical data for flood disaster prevention: Case of typhoon Hagibis,” in Proc. IEEE Global Conf. Life Sciences and Technologies (LifeTech), 2020, pp. 109-110. [paper]
- K. Kasuga, R. Harakawa, and M. Iwahashi, “Classification of in-vehicle camera images for guardrail inspection support,” in Proc. IEEE Global Conf. Life Sciences and Technologies (LifeTech), 2020, pp. 113-114. [paper]
- Y. Nagasugi, R. Harakawa, and M. Iwahashi, “Naturalness-preserving image stitching based on optimal seam estimation considering parallax,” in Proc. IEEE Global Conf. Life Sciences and Technologies (LifeTech), 2020, pp. 115-116. [paper]
- M. Tsumori, S. Nagai, R. Harakawa, T. Sasaki, and M. Iwahashi, “Restoration of minute light emissions observed by streak camera based on N-CUP method,” in Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019, pp. 1380-1384. (h5-指標:18) [paper]
- Y. Akamatsu, R. Harakawa, T. Ogawa, and M. Haseyama, “Estimating viewed image categories from fMRI activity via multi-view Bayesian generative model,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), 2019, pp. 129-130. [paper]
《IEEE GCCE 2019 Excellent Paper Award, Silver Prize を受賞》 - Y. Matsumoto, S. Hamano, R. Harakawa, T. Ogawa, and M. Haseyama, “Bilingual lexicon learning using tagged images via graph trilateral filter-based feature refinement,” in Proc. IEEE Int. Conf. Consumer Electronics-Taiwan (ICCE-TW), 2019, pp. 729-730. [paper]
- Y. Akamatsu, R. Harakawa, T. Ogawa, and M. Haseyama, “Estimating viewed image categories from human brain activity via semi-supervised fuzzy discriminative canonical correlation analysis,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), 2019, pp. 1105-1109. [paper]
- Y. Akamatsu, R. Harakawa, T. Ogawa, and M. Haseyama, “Semi-supervised discriminative CCA for estimating viewed image categories from fMRI data,” in Proc. IEEE Global Conf. Life Sciences and Technologies (LifeTech), 2019, pp. 233-234.
- Y. Akamatsu, R. Harakawa, T. Ogawa, and M. Haseyama, “Estimation of viewed image categories via CCA using human brain activity,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), 2018, pp. 171-172. [paper]
- S. Takimura, R. Harakawa, T. Ogawa, and M. Haseyama, “Twitter followee recommendation based on multimodal FFM considering social relations,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), 2018, pp. 173-174. [paper]
- Y. Matsumoto, R. Harakawa, T. Ogawa, and M. Haseyama, “Simultaneous realization of multiple music video applications based on heterogeneous network analysis via latent link estimation,” in Proc. IEEE Int. Conf. Multimedia & Expo (ICME), 2018, pp. 1-6. [paper]
- S. Takimura, R. Harakawa, T. Ogawa, and M. Haseyama, “Personalized tweet recommendation based on field-aware factorization machines with adaptive field organization,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), 2017, pp.260-261. [paper]
- Y. Matsumoto, R. Harakawa, T. Ogawa, and M. Haseyama, “Construction of network using heterogeneous social metadata for music video recommendation,” in Proc. IEEE Global Conf. Consumer Electronics (GCCE), 2017, pp. 316-317. [paper]
《IEEE GCCE 2017 Outstanding Poster Award を受賞》 - R. Harakawa, T. Ogawa, and M. Haseyama, “Tracking hierarchical structure of Web video groups based on salient keyword matching including semantic broadness estimation,” in Proc. IEEE Global Conf. Signal and Information Processing (GlobalSIP), 2016, pp. 1238-1242. [paper]
- D. Takehara, R. Harakawa, T. Ogawa, and M. Haseyama, “Hierarchical content group detection from different social media platforms using Web link structure,” in Proc. IEEE Int. Conf. Image Processing (ICIP), 2016, pp. 479-483. [paper]
- D. Takehara, R. Harakawa, T. Ogawa, and M. Haseyama, “Organizing Web video collections into optimal category hierarchies for Web video retrieval,” in Proc. Int. Workshop on Advanced Image Technology (IWAIT), 2016, vol. P.1C-6, pp. 1-4.
- R. Harakawa, T. Ogawa, and M. Haseyama, “Extraction of hierarchical structure of Web video groups via adaptive feature selection,” in Proc. Int. Workshop on Advanced Image Technology (IWAIT), 2016, vol. P.1C-7, pp. 1-4.
- R. Harakawa, T. Ogawa, and M. Haseyama, “Extraction of hierarchical structure of Web communities including salient keyword estimation for Web video retrieval,” in Proc. IEEE Int. Conf. Image Processing (ICIP), 2015, pp. 1021-1025. [paper]
《The 2016 IEEE Sapporo Section Encouragement Award を受賞》 - R. Harakawa, T. Ogawa, and M. Haseyama, “Hierarchical structure extraction of Web communities based on new similarity estimation from heterogeneous video features,” in Proc. Int. Workshop on Advanced Image Technology (IWAIT), 2015, vol. 314, pp. 1-4.
- R. Harakawa, T. Ogawa, and M. Haseyama, “Exhibition method of hierarchical structure of Web communities using community density for Web video retrieval,” in Proc. IEEE Int. Symp. Consumer Electronics (ISCE), 2014, pp. 194-195. [paper]
- R. Harakawa, Y. Hatakeyama, T. Ogawa, and M. Haseyama, “An extraction method of hierarchical Web communities for Web video retrieval,” in Proc. IEEE Int. Conf. Image Processing (ICIP), 2013, pp. 4397-4401. [paper]
《The 2014 IEEE Sapporo Section Encouragement Award を受賞》 - R. Harakawa, Y. Hatakeyama, T. Ogawa, and M. Haseyama, “Web community extraction with weighting three kinds of features for Web video retrieval,” in Proc. Int. Tech. Conf. Circuits/Systems, Computers and Communications (ITC-CSCC), 2012, vol. P-M2-20, pp. 1-3.
● 受賞
筆頭もしくは共著の受賞
- 令和6年度科学技術分野の文部科学大臣表彰科学技術賞(科学技術振興部門) (「マルチモーダル信号処理の研究に基づく産学地域連携への貢献」により岩橋政宏教授とともに受賞) (2024年4月)
- 電子情報通信学会 信号処理研究専門委員会 信号処理特別功労賞 (学会活動1に関して受賞) (2022年12月)
- 第5回インフラメンテナンス大賞 「情報通信技術の優れた活用に関する総務大臣賞」, 宮川興業株式会社, 国立大学法人 長岡技術科学大学 (共同実施者として受賞) (2022年1月) [取組概要]
- 3rd Prize, IEEE LifeTech 2021 Excellent Paper Awards for Oral Presentation (国際会議12について筆頭著者として受賞) (2021年4月)
- 令和2年度 長岡技術科学大学 教育活動表彰 (電気専攻・遠隔講義支援WGでの受賞) (2020年10月)
- 令和元年度電気・情報関係学会北海道支部連合大会 若手優秀論文発表賞 (国内学会47について共著での受賞) (2019年12月)
- IEEE GCCE 2019 Excellent Paper Award, Silver Prize (国際会議20について共著での受賞) (2019年10月)
- The 2018 IEEE Sapporo Section Encouraging Prize (国内学会63について共著での受賞) (2019年2月)
- 平成30年度電気・情報関係学会北海道支部連合大会 若手優秀論文発表賞 (国内学会64について共著での受賞) (2018年12月)
- The 2017 IEEE Sapporo Section Encouraging Prize (国内学会70について共著での受賞) (2018年2月)
- IEEE GCCE 2017 Outstanding Poster Award (国際会議28について共著での受賞) (2017年10月)
- The 2016 IEEE Sapporo Section Encouragement Award (国際会議33について筆頭著者として受賞) (2017年2月)
- The 2016 IEEE Sapporo Section Encouraging Prize (国内学会73について筆頭著者として受賞) (2017年2月)
- 平成26年度電子情報通信学会北海道支部学生員奨励賞 (2015年3月)
- The 2014 IEEE Sapporo Section Encouragement Award (国際会議36について筆頭著者として受賞) (2015年2月)
- 北海道大学工学部 William Wheeler Prize (2013年3月)
- 北海道大学新渡戸賞 (2010年6月)
● 競争的資金
研究代表者
- 日本学術振興会 科学研究費助成事業 基盤研究(B) (代表) (2023~2026年度)
- 日本学術振興会 科学研究費助成事業 若手研究 (代表) (2021~2023年度)
- ユニオンツール育英奨学会研究助成金 (代表) (2020年度)
- ユニオンツール育英奨学会研究助成金 (代表) (2019年度)
- 日本学術振興会 科学研究費助成事業 特別研究員奨励費 (代表) (2016・2017年度)
● 学会活動
- 第37回信号処理シンポジウム 実行委員会 (2022年)
- 第37回信号処理シンポジウム 企画セッション「信号処理がもたらす先進的環境モニタリング」, 共同オーガナイザー (2022/12/14)
- 電子情報通信学会 信越支部委員 (2021年6月~2023年6月)
- IEEE Global Conf. Consumer Electronics (GCCE), Organized Session (Technologies for Multimedia and Real Data Analysis and Processing), Co-Chair (2021)
- IEEE Global Conf. Life Sciences and Technologies (LifeTech), Organized Session (Biomedical Data Processing & Its Applications to Multimedia), Co-Chair (2021)
- IEEE Global Conf. Life Sciences and Technologies (LifeTech), Organized Session (Biomedical Data Processing & Its Applications to Multimedia), Co-Chair (2020)
- IEEE Global Conf. Consumer Electronics (GCCE), Organized Session (Technologies for Multimedia and Real Data Analysis and Processing), Co-Chair (2019)
- ACM Int. Conf. Multimedia Retrieval (ICMR) 2018, Doctoral Symposium Program Committee
Last update: 2024/9/30