2023年

Journal Paper

• Yasuyu Fukushima, Kensuke Iizuka, Hideharu Amano, “Parallel Implementation of CNN on Multi-FPGA Cluster”, IEICE Transactions on Information and Systems, Volume E106-D, No.7, Pages 1198-1208, 2023.
• Kensuke Iizuka, Haruna Takagi, Aika Kamei, Kazuei Hironaka, Hideharu Amano, “Power Analysis and Power Modeling of Directly-connected FPGA Clusters”, IEICE Transactions (accepted).

Conference Paper

• Ziquan Qin, Kaijie Wei, Hideharu Amano and Kazuhiro Nakadai, “Low power implementation of Geometric High-order Decorrelation-based Source Separation on an FPGA board,” 2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), Tokyo, Japan, 2023, pp. 1-6, doi: 10.1109/COOLCHIPS57690.2023.10121954.
• Yasuyu Fukushima, Kensuke Iizuka, Hideharu Amano, “Parallel Implementation of Vision Transformer on a Multi-FPGA Cluster”, Proceedings of 11th International Symposium on Computing and Networking (CANDAR 2023), Matsue, Japan, November 2023
• Takumi Inage, Kensuke Iizuka, Hideharu Amano, “Board Allocation Algorithm for the Resource Management System of FiC”, Proceedings of 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2023), December, 2023.

受賞

SLDM研究会優秀発表賞・セッション特別賞

福嶋泰優, 飯塚健介, 天野英晴, “マルチFPGA上でのVision Transformerの並列実装”, (第201回SLDM研究発表会 2023年1月)

2022年

Journal Paper

• Tomoki SHIMIZU, Kohei ITO, Kensuke IIZUKA, Kazuei HIRONAKA, Hideharu AMANO, The Implementation of a Hybrid Router and Dynamic Switching Algorithm on a Multi-FPGA System, IEICE Transactions on Information and Systems, Volume E105.D, No.12, p. 2008-2018, https://doi.org/10.1587/transinf.2022PAP0009
• 弘中、稲毛、飯塚、伊藤、天野、”Multi-access Edge Computing 用 FPGA システム M-KUBOS クラスタの開発,” 電子情報通信学会論文誌 D, Vol.J105-D, No.10, pp.614-627.
• Renzhi Mao, Kaijie Wei, Hideharu Amano, Yuki Kuno, Masatoshi Arai, “Weight Least Square Filter for Improving the Quality of Depth Map on FPGA”, The International Journal of Networking and Computing (IJNC), Volume 12, Number 2, pages 425–445, July 2022

Conference Paper

• Ayaka Ohwada, Takuya Kojima, Hideharu Amano, “An efficient compilation of coarse-grained reconfigurable architectures utilizing pre-optimized sub-graph mappings,” PDP 2022, Jan. 2022.
• Hajime Takishita, Yuan He, Masaaki Kondo, Hideharu Amano, “Accelerating Graph-Based SLAM on an M-KUBOS Board towards Multi-access Edge Computing”, COOLCHIPS25(Poster), April 2022
• Shigeyuki Takano and Hideharu Amano, “Study of General-Purpose CGRA Architecture”, COOLCHIPS25(Poster), April 2022
• Hou Zhongyang, Wei Kaijie, Hideharu Amano, Kazuhiro Nakadai, “Implementation of HARK Sound source localization by M-KUBOS“, COOLCHIPS25(Poster), April 2022
• Huang Pengyu, Wei Kaijie, Hideharu Amano, Kaori Ohkoda, Masashi Aono, “Multi-FPGA Implementation of Distributed Computing System for Solving the Transportation Optimization Problem“, COOLCHIPS25(Poster), April 2022
• Qin Ziquan, Wei Kaijie, Hideharu Amano, Kazuhiro Nakadai, “An implementation of Geometric High-order Dicorrelation-based Source Separation on an FPGA board”, COOLCHIPS25(Poster), April 2022
• Zhou Yuqing, Naoya Niwa, Hideharu Amano, “Distant-aware Compression for interconnection network of many-core systems”, COOLCHIPS25(Poster), April 2022
• Chen Yuchen, Wei Kaijie, Hideharu Amano, “An implementation of image filters on an FPGA board”, COOLCHIPS25(Poster), April 2022
• Shao Ningyu, Hiroaki Suzuki, Hideharu Amano, Wataru Takahashi, Kazutoshi Wakabayashi, “A CNN implementation on a multi-FPGA system with system-C description”, COOLCHIPS25(Poster), April 2022
• Kensuke Iizuka, Haruna Takagi, Aika Kamei, Kazuei Hironaka, and Hideharu Amano, “Power Analysis of Directly-connected FPGA Clusters,” 2022 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS), 2022, pp. 1-6, doi: 10.1109/COOLCHIPS54332.2022.9772675.
• Kaijie Wei, Yuki Kuno, Masatoshi Arai, and Hideharu Amano. 2022. RT-libSGM: An Implementation of a Real-time Stereo Matching System on FPGA. In International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART2022), June 2022
• Shigeyuki Takano and Hideharu Amano, “Reconfiguration Cost for Reconfigurable Computing Architectures”, IEEE/ACIS International Fall Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, July 2022 (accepted)

受賞

電情報処理学会システム・アーキテクチャ研究会若手奨励賞

• 四釜快弥, 鯉渕道紘, 天野英晴 “コヒーレンス制御機構を利用した検知困難なハードウェア・トロイの木馬による攻撃” (CPSY 2022年1月)

山下記念研究賞

• 亀井 愛佳, “不揮発性FFを用いたCGRA設計探索のためのばらつきを考慮したMTJへの書き込みエネルギー推定モデルの提案” (ETNET 2022年3月)

SLDM研究会優秀発表賞

• 亀井 愛佳, “不揮発性FFを用いたCGRA設計探索のためのばらつきを考慮したMTJへの書き込みエネルギー推定モデルの提案” (ETNET 2022年3月)

IEEE CEDA AJJC Academic Research Award

• Aika Kamei, “A Variation-Aware MTJ Store Energy Estimation Model for Design Exploration of CGRA with Nonvolatile Flip-Flops” (ETNET Mar., 2022)

HEART 2022 Best Paper Award

• Kaijie Wei, Yuki Kuno, Masatoshi Arai, and Hideharu Amano. 2022. RT-libSGM: An Implementation of a Real-time Stereo Matching System on FPGA. In International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART2022), June, 2022

電子情報通信学会コンピュータシステム研究会優秀若手発表賞

• 矢内洋祐, 小島拓也, 奥原颯, 飯田全広, 天野英晴, “RISC-V MPおよびSLM再構成ロジックを混載した「SLMLET」チップの予備評価” (CPSY 2022年7月)

招待講演、パネルディスカッション

• RISC-V day招待講演 ハリス＆ハリスRISC-V版　鈴木貢、天野英晴　2022．6.1
• 電子情報通信学会ICD研究会　招待講演　 天野英晴
  アクセラレータとしてのFPGAの可能性と問題点 　2022.9.16

2021年度

Journal Paper

• Miho Yamakura, Ryousei Takano, Akram Ben Ahmed, Midori Sugaya, Hideharu Amano “A Multi-tenant Resource Management System for Multi-FPGA Systems”, IEICE Trans. Information and Systems, Vol.E104-D,No.12,pp.-,Dec. 2021.
• Kohei Ito, Kensuke Iizuka, Kazuei Hironaka, Yao Hu, Michihiro Koibuchi, Hideharu Amano “Improving the Performance of Circuit-switched Interconnection Network for a Multi-FPGA System”, IEICE Trans. Information and Systems, Vol.E104-D,No.12,pp.-,Dec. 2021.
• Ryota Yasudo, Jose Gabriel Figueiredo Continho, Ana Lucia Varbanescu, Wayne Luk, Hideharu Amano, Tobias Becker, “Analytical Performance Estimation for Large-scale Reconfigurable Dataflow Platforms,” ACM Transactions on Reconfigurable Systems,Vol.14,No.12, Sept. 2021. https://doi.org/10.1145/3452742 [link to TRETS]
• Peeraya Sripian, Muhammad Nur Adilin Mohd Anuardi, Yushun Kajihara, and Midori Sugaya, “Empathetic Robot Evaluation through Emotion Estimation Analysis & Facial Expression Synchronization from Biological Information,” Artificial Life and Robotics, (Accepted), 2021.
• Takeharu Ikezoe, Takuya Kojima, Hideharu Amano, “Recovering faulty Non-volatile Flip Flops for Coarse-Grained Reconfigurable Architectures”, IEICE Transactions on Electronics. Vol.E104-C, No.6, pp.215-225, Jun. 2021. DOI:10.1587/transele.2020LHP0002.
• Kazuei HIRONAKA,Kensuke IIZUKA,Miho YAMAKURA,Akram BEN AHMED,and Hideharu AMANO, “Remotedynamic reconfiguration of a multi-FPGA system FiC (Flow-in-Cloud)”, IEICE Trans. Information and Systems,Vol.E104-D,No.8,pp.-,Aug. 2021.
• Kaijie Wei, Koki Honda and Hideharu Amano “An implementation methodology for Neural Network on a Low-end FPGA Board”, International Journal of Networking and Computing(IJNC). Vol.11, No.2, pp.-, July. 2021. 
• Koki honda, Kaijie Wei, Masatoshi Arai, Hideharu Amano “CLAHE implementation and evaluation on a low-end FPGA board by high-level synthesis”, IEICE Trans. Information and Systems, Vol.E104-D,No.12,pp.-,Dec. 2021
• Takuya Kojima, Ayaka Ohwada, Hideharu Amano, “Mapping-aware Kernel Partitioning Method for CGRAs Assisted by Deep Learning”, IEEE Transactions on Parallel and Distributed Systems. 「early access]
• Kouki Ozawa  ,Takahiro Hirofuchi , Ryousei Takano, Midori Sugaya, “fogcached: DRAM/NVMM hybrid KVS Server for Edge Computing” IEICE TRANSACTIONS on Information and Systems, 2021
• Koki Higashi  ,Yoichi Ishiwata ,Takeshi Ohkawa  ,Midori Sugaya, “Fogcached-ros: DRAM/NVMM hybrid KVS Server with ROS Based Extension for ROS Application and SLAM Evaluation”, IEICE TRANSACTIONS on Information and Systems, 2021
• Koutarou Yamamoto, Akihiro Fukuhara, Hiroaki Nishi, “Hardware Implementation of MQTT Broker and Precise Time Synchronization using IoT Devices,” IEEJ Transactions on Electronics, Information and Systems,” Feb.2022.

International Conference (Reviewed)

• Tomoki Shimizu, Kohei Ito, Kensuke Iizuka, Kazuei Hironaka, Hideharu Amano, “Hybrid Network of Packet Switching and STDM in a Multi-FPGA System”, IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOLCHIPS24), April 2021
• Ohwada Ayaka, Takuya Kojima, and Hideharu Amano, “MENTAI: A Fully Automated CGRA Application Development Environment that Supports Hardware/Software Co-design”, Synthesis And System Integration of Mixed Information technologies(SASIMI2021), Mar. 2021.
• Yasuyu Fukushima, Kensuke Iizuka, Hideharu Amano, “Parallel Implementation of CNN on PYNQ Cluster”, COOLCHIPS24, April 2021
• Takumi Inage, Kazuei Hironaka, Kensuke Iizuka, Hideharu Amano, “Software management system of the PYNQ cluster”, COOLCHIPS24, April 2021
• Hiroaki Suzuki, Wataru Takahashi, Kazutoshi Wakabayashi, Hideharu Amano, “Multi-FPGA board design using CyberWorkBench, a high-level synthesis tool”, COOLCHIPS24, April 2021
• H.Suzuki, W.Takahashi, K.Wakabayashi, H.Amano, “A programming environment for multi-FPGA systems based on CyberWorkBench: an integrated design tool, HEART 2021.
• Natsuho Sannomiya, Takeshi Ohkawa, Hideharu Amano,  Midori Sugaya, Power Consumption Reduction Method for Multiple Robots and Edge Offload System, 2021 International Conference on Edge Computing, December 10-14, 2021.
• Yasuyu Fukushima, Kensuke Iizuka , Hideharu Amano, “Parallel Implementation of CNN on Multi-FPGA Cluster ,” McSoC2021 (Accepted).
• Takumi Inage, Kazuei Hironaka, Yasuyu Fukushima, Kohei Itoh, Kensuke Iizuka, Mitaro Namiki, and Hideharu Amano, “M-KUBOS/PYNQ Cluster for multi-access edge computing,” CANDAR2021 (Accepted)
• Hiroki Hiraga, Hiroaki Nishi, “Network Transparent Decrypting of Cryptographic Stream Considering Service Provision at the Edge”, IEEE International Conference on Industrial Informatics’21 (INDIN) , 978-1-7281-4395-8/21
• Victor Huang, Hiroaki Nishi, Antonio Espirito-Santo, Allen Chen, Dietmar Bruckne, “Standards and Interoperability in Industrial Electronics – A Trending View,” IEEE International Conference on Industrial Informatics’21 (INDIN) , 978-1-7281-4395-8/21
• Shogo Shimahara, Hiroaki Nishi,”Dataflow Management Platform for Smart Communities using an Edge Computing Environment,” 47th Annual Conference of the IEEE Industrial Electronics Society (IECON2021)
• Yuiko Sakuma, Thai P.Tran, Tomomu Iwai, Akihito Nishikawa, Hiroaki Nishi, “Trajectory Anonymization through Laplace Noise Addition in Latent Space,” CANDAR2021.

受賞

• 情報処理学会SLDM研究会優秀発表賞及びセッション特別賞 福嶋泰優, “PYNQクラスタ上でのResNetの並列実装”, (ETNET 2021年3月)

招待講演、パネルディスカッション

• H.Amano, ”Long and winding road of CGRA ”, ASAP2021 Panel Discussion.

2020年度

Journal Paper

• Yuxi Sun, Hideharu Amano, “FiC-RNN: A Multi-FPGA Acceleration Framework for Deep Recurrent Neural Networks”, IEICE Trans. on Inf&Tech
  Vol.E103-D,No.12,pp.-,Dec. 2020.
• W.A. Shanaka P. Abeysiriwardhana, Janaka Wijekoon, and Hiroaki Nishi, “Smart Community Edge: Stream Processing Edge Computing Node for Smart Community Services”, 電気学会論文誌C（電子・情報・システム部門誌）IEEJ Transactions on Electronics, Information and Systems Vol.140 No.9 pp.1030-1039DOI: 10.1541/ieejeiss.140.1030, Sep. 2020.
• Takuya Kojima, Mnh Vu Doan, Hideharu Amano、”GenMap:　A　Genetic　Algorithmic　Approach　for　Optimizing　Spatial　Mapping　of　Coarse　Grained　Reconfigurable Architecture”、IEEE Trans. on VLSI System　Vol.28 No.11, /doi.org/10.1109/TVLSI.2020.3009225
• Taichi Nakamura, Yuiko Sakuma, Hiroaki Nishi, “International Journal of Networking and Computing,” Vo.11,No.1,2021.

International Conference (Reviewed)

• M. M. Imdad Ullah, Akram Ben Ahmed, Hideharu Amano, “Implementation of FM-Index Based Pattern Search on a Multi-FPGA System”, 16th International Symposium on Applied Reconfigurable Computing (Accepted)
• Yugo Yamauchi, Akram Ben Ahmed, Kazuei Hironaka, Kensuke IIzuka, Hideharu Amano, “Horizontal division of deep learning applications with all-to-all communication on a multiFPGA system”, 2020 Eighth International Symposium on Computing and Networking Workshop (CANDARW), November, 2020
• Kohei Ito, Kensuke IIzuka, Kazuei Hironaka, Yao Hu, Michihiro Koibuchi, Hideharu Amano, “Implementing a Multi-ejection Switch and Making the Use of Multiple Lanes in a Circuit-switched Multi-FPGA System”, 2020 Eighth International Symposium on Computing and Networking Workshop (CANDARW), November, 2020
• Kensuke Iizuka, Kohei Ito, Kazuei Hironaka, Hideharu Amano, “A Method of Partitioning Convolutional Layer to Multiple FPGAs”, 17th International SoC Design Conference (ISOCC), pp.25-pp.26, Oct. 2020.
• Saki Saito, Kanami Yuyama, Masahisa Ishii, Victor Huang, and Hiroaki Nishi, “Representation of Plant Structure using XML and Its Application to Cultivation Management”, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp.125-pp.131, Sept. 2020.
• Tomu Yanabe, Hiroaki Nishi and Masahiro Hashimoto, “Anomaly Detection Based on Histogram Methodology and Factor Analysis Using LightGBM for Cooling Systems”, 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA),pp.952-pp.958, Sept. 2020.
• Kouki Ozawa, Takahiro Hirofuchi, Ryousei Takano and Midori Sugaya
  fogcached: DRAM-NVM Hybrid Memory-Based KVS server for Edge Computing, 2020 International Conference on Edge Computing, August 12 – 14, 2020.
• Masato Nohara, Hiroaki Nishi, “Video Object Detection Method Using　Single-Frame Detection and Motion Vector Tracking”, 18th IEEE International Conference Industrial Informatics Online Event INDIN 2020, pp.119-pp.125, July 2020.
• Masahiro Hashimoto, Ryo Morishima, Hiroaki Nishi, “Low-Information-Loss Anonymization of Trajectory Data Considering Map”, The 29th IEEE International Symposium on Industrial Electronics ISIE 2020, Online, pp.461-466, June 2020.
• Tomoki Shimizu, Kohei Ito, Kensuke Iizuka, Yugo Yamauchi, Kazuei Hironaka, Hideharu Amano, “Implementation of a Packet-Switching Router on a Multi-FPGA System”, IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOL Chips 23), April 2020
• Kohei Ito, Kensuke Iizuka, Yugo Yamauchi, Kazuei Hironaka, Yao Hu, Michihiro Koibuchi, Hideharu Amano, “Implementation of an Application Utilized Multi-Switch on a Multi-FPGA System”, IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOL Chips 23), April 2020
• YingJie Yan, Hideharu Amano, Masashi Aono, “Hardware design of AmoebaSat algorithm on FPGA for solving Boolean Satisfiability”, IEEE Symposium on Low-Power and High-Speed Chips and Systems (COOL Chips 23), April 2020.
• Koki Nagahama, Yoichi Ishiwata, Midori Sugaya, “Resource utilization prediction model for SLAM offload to Edge”, Proceedings of IEEE CANDAR (The Eighth International Symposium on Computing and Networking).  2020, 11.
• Koki Higashi, Yoichi Ishiwata, Takeshi Ohkawa and Midori Sugaya, fogcached-ros: Hybrid main memory KVS server, Asia Pacific Conference on Robot IoT System Development and Platform (APRIS2020), 202011, online •
• Masato Fukui, Yoichi Ishiwata, Takeshi Ohkawa and Midori Sugaya, Predictive Many-core Allocation Method for Edge Off-Road Services, Asia Pacific Conference on Robot IoT System Development and Platform (APRIS2020), 2020.11

Keynote/Invited Speech

• H.Amano, Why We Are Using RISC-V as a Model Processor for university education ?　RISC-V day Keynote, 2020. 10.
  

国内シンポジウム、研究会

• 小沢 公基，広渕 崇宏，高野 了成，菅谷 みどり, ハイブリッド型メインメモリを対象とするKVSサーバの試作, COMSYS 2019. 12.10.
• 三宮 夏帆，天野 英晴，菅谷 みどり, Power Consumption Reduction Method and Edge Offload Server for Multiple Robots, The 4th cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming
• 弘中和衛, 山倉美穂, 天野 英晴, “マルチFPGA システムにおける部分再構成の実際”
  信学技報, vol. 119, no. 372, RECONF2020-16, pp. 85-90, 2020年5月.

受賞

• 三宮 夏帆，天野 英晴，菅谷 みどり ,xSiG outstanding effort award, 2020.
• 第82回，情報処理学会全国大会，学生奨励賞，大会優秀賞受賞（７/1500件） •東　晃希，石綿陽一，大川　猛，菅谷みどり, “fogcached-ros：ハイブリッドメインメモリKVSサーバミドルウエアの提案”, 情報処理学会第83回全国大会, 2021年3月18日～20日, オンライン, 学生奨励賞, 大会優秀賞, 2021.
• Best Short Paper Award, APRIS 2020 •Koki Nagahama, Yoichi Ishiwata and Midori Sugaya, Resource utilization prediction model for SLAM offload to Edge, Asia Pacific Conference on Robot IoT System Development and Platform (APRIS2020)    202011, Best Short Paper Award
• Excellent Poster Presentation Award, ICMMA 2020 Jiawei Yu, Muhammad Nur Adilin Mohd Anuardi, Peeraya Sripian, Midori Sugaya, “Robot Expression Preferences Assessment with the Individual Differences using Logistic　Regression Approach”, International Conference on “Design of Comfortable Life using Mathematical Sciences” (ICMMA2020), 202103
• Yugo Yamauchi, Akram Ben Ahmed, Kazuei Hironaka, Kensuke IIzuka, Hideharu Amano, “Horizontal division of deep learning applications with all-to-all communication on a multiFPGA system”, 2020 Eighth International Symposium on Computing and Networking Workshop (CANDARW), November, 2020
• 電子情報通信学会コンピュータシステム研究会優秀若手発表賞 、
  大和田彩夏 “LLVMを用いたCGRA向けソフトウェア開発環境の構築と評価” (ETNET 2020年2月)

書籍

• 天野英晴　並列コンピュータ　非定量的アプローチ　オーム社

2019年度

Journal Paper

• Theingi Myint, Motoki Amagasaki, Qian Zhao, Masahiro Iida. “A SLM-based Overlay Architecture for Fine-grained Virtual FPGA”, IEICE Electronics Express (ELEX), Volume 16, Issue 24, Pages 20190610, Feb. 2020
• Theingi Myint, Ito Takanori, Motoki Amagasaki, Qian Zhao, Masahiro Iida, “EVALUATION OF ROUTING AREA REDUCTION FOR FINE-GRAINED OVERLAY VIRTUAL FPGA”, International Journal of Innovative Computing, Information and Control (IJICIC), Volume 16, Number 1, Feb. 2020
• W. Dai, H. Nishi, V. Vyatkin, V. Huang, Y. Shi and X. Guan, “Industrial Edge Computing: Enabling Embedded Intelligence”, IEEE Industrial Electronics Magazine, vol. 13, no. 4, pp. 48-56, Dec. 2019. doi: 10.1109/MIE.2019.2943283

International Conference (Reviewed)

• Yuiko Sakuma, Hiroaki Nishi, “Airflow Direction Control of Air Conditioners Using Deep Reinforcement Learning”, SICE International Symposium on Control Systems 2020, PaperID: 3E1-5 Mar.2-5, 2020, Tokushima.
• Keiya Harada, Henri-Pierre Charles, and Hiroaki Nishi, “A precision variable anonymization method supporting transprecision computing”, IEEE/ICACT2020, 22nd International Conference on Advanced Communications Technology (ICACT2020), pp.35-42, February 16-19, 2020.
• Hideharu Amano, Akram Ben Ahmed, Kazuei Hironaka, Kensuke Iizuka, Yugo Yamauchi, M M Imdad Ulah, Yuxi Sun, Miho Yamakura, Aoi Hiruma Tomoki Shimizu, Kohei Ito, “Flow-in-Cloud: a scalable multi-FPGA system for HPC”, HiPEAC Workshop, EnroExaScale Computing, Jan.22.2020, Bologna, Italy.
• Takeharu Ikezoe, Takuya Kojima, Hideharu Amano, “A Coarse-Grained Reconfigurable Architecture with a Fault Tolerant Non-Volatile Configurable Memory”, International Conference on Field Programmable Technology, Dec.10.2019.
• Ryosuke Kazami, Hideharu Amano, “A Rapid Optimization Method for Visual Indirect SLAM Using a Subset of Feature Points,” SUSCW of CANDAR2019, Nagasaki, November 2019. (Outstanding Paper Award)
• Taichi Nakamura, Yuiko Sakuma, and Hiroaki Nishi, “Face Image Anonymization as an Application of Multidimensional Data K-Anonymizer”, The Seventh International Symposium on Computing and Networking Workshops, (CANDAR 2019), pp. 155-16, Nov. 26-29, 2019.
• Sannomiya Natsuho and Midori Sugaya, “Improvement of methods for reducing power consumption by considering individual differences of multiple robots.”, Asia Pacific Conference on Robot IoT System Development and Platform (APRIS 2019), Thailand, November 2019
• Shiraiwa Genki, Peeraya Sripian and Midori Sugaya, “Verification of the support effect of robots that voice-casting for individual students”, Asia Pacific Conference on Robot IoT System Development and Platform (APRIS 2019), Thailand, November 2019
• Shotaro Tayama, Takeshi Ohkawa, Mikiko Sato, Nobuhiro Ohe, Harumi Watanabe, “Simple Algorithm of Lane Detection for Tiny Robot Car by Single Horizontal Line Search of Camera Image”. Asia Pacific Conference on Robot IoT System Development and Platform (APRIS 2019), Thailand, November 2019
• Chinatsu Yamamoto, Ikuta Tanigawa, Takeshi Ohkawa, Mikiko Sato, Harumi Watanabe, “An Experiment of Mixed Reality Environments for Layer Interaction Diagram Based on Context-Oriented Programming”, Asia Pacific Conference on Robot IoT System Development and Platform (APRIS 2019), Thailand, November 2019
• Mana Tabei, Mikiko Sato, Takeshi Ohkawa, Harumi Watanabe, Ikuta Tanigawa, “An Experimental Mixed Reality System for IoT Testing”, Asia Pacific Conference on Robot IoT System Development and Platform (APRIS 2019), Thailand, November 2019
• Keita Azegami, Kazusa Musha, Kazuei Hironaka, Akram Ben Ahmed, Michihiro Koibuch, Yao Hu, Hideharu Amano, “A STDM (Static Time Division Multiplexing) Switch on a Multi-FPGA System”, 13th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC-2019), pp.328-333, Singapore, October 2019.

Invited/Keynote

• 情報処理学会第82回全国大会　「MEC（Multi-access edge computing)への挑戦」2020年3月6日　基調講演とパネルディスカッション
• 天野英晴　「Domain Specific Architectureのすゝめ」, 第1回自作CPUもくもく会, 2020年2月24日
• Kazuhiro Nakadai, “Robot Audition and Its Deployment”, The 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence-2020), India, January 28, 2020 (Invited Talk)
• 天野英晴　「量子コンピュータの今後」, 2019年度慶應テクノモール, 2019年12月13日, パネルディスカッション
• 西宏章　「IoT・エッジ・5G・スマートシティで未来社会像を読み解こう！」, 2019年度慶應テクノモール, 2019年12月13日
• 西宏章　「IoT・エッジ・5G・スマートシティを読み解く」, メディア向けIEEE SA解説セミナー（主催（株）共同PR）, 2019年12月3日
• 西宏章　「なぜ、いま情報通信プラットフォームを基軸とするスマートコミュニティが必要なのか？」, 2019年度パナソニック技術シンポジウム専門技術セッション～通信・ネットワーク技術分野～, 2019年11月27日
• Hideharu Amano, “A multi-FPGA system for AI application,” 3rd Symposium on AI Center, Aizu, November 23, 2019 (Keynote)
• 西宏章　「教科書に書いていないSociety5.0 IoT・エッジ・スマートコミュニティで未来社会像を描く」, 第4回ふくおかAI・IoT祭りinSRP, 2019年11月20日
• 西宏章　「スマートシティはQoLを向上し永続化する社会インフラたりえるのか？」, 一社）おもてなしICT協議会第3回連絡協議会, 2019年11月14日
• 西宏章　「フィジカル空間デジタルデータ処理基盤」, 内閣府SIPシンポジウム2019, 2019年11月13日
• Hiroaki Nishi, “Smart City Partnership: Japan-U.S. Emerging Collaborations with the Indo-Pacific”, Washington Auto Show, Mobility Talks International, Washington, DC, January 22, 2019 (Panel discussion)
• 西宏章　「センサー活用がもたらす市民生活のイノベーションとは」, スマートシティ・インスティテュート　特別シンポジウム　「日本・バルセロナ　スマートシティ会議」, 2019年1月20日

研究会

• 小沢公基, 菅谷みどり, 広渕崇宏, 高野了成, “ハイブリッド型メインメモリKVSサーバの提案及びエッジコンピューティングへの適用”, 情報処理学会 第82回全国大会, 2020年3月
• 三宮夏帆, “複数台ロボットの個体差を考慮した最適化による消費電力量の削減手法”, 情報処理学会 第82回全国大会, 2020年3月
• 三宮夏帆, 菅谷みどり, “複数台ロボットの個体差を考慮した最適化による消費電力量の削減手法の改善”, 情報処理学会, 組込み技術とネットワークに関するワークショップ ETNET2020, 2020年2月
• 伊藤光平, 飯塚健介, 山内脩吾, 弘中和衛, 胡曜, 鯉渕道紘, 天野英晴, “マルチFPGAにおける複数スイッチを使用した際の性能評価”, 信学技報, vol. 119, no. 372, CPSY2019-58, pp. 37-42, 2020年1月.
• 清水智貴, 伊藤光平, 飯塚健介, 山内脩吾, 弘中和衛, 天野英晴, “ルータのマルチFPGAシステムへの実装と性能評価”, 信学技報, vol. 119, no. 372, CPSY2019-57, pp. 31-36, 2020年1月.
• 小沢 公基, 広渕 崇宏, 高野 了成, 菅谷 みどり, “ハイブリッド型メインメモリを対象とするKVSサーバの試作”, 情報処理学会，第31回コンピュータシステム・シンポジウム (ComSys2019), 2019年12月

その他著作物(書籍など)

• “Urban Systems Design –Creating Sustainable Smart Cities in the Internet of Things Era”, Edited by Yoshiki Yamagata & Perry P.J. Yang, “Chapter 10. IoT-based monitoring for smart community” (Hiroaki Nishi and Yuichi Nakamura), Elsevier, 460pages, 11th Feb. 2020.

受賞

• 情報処理学会 第82回全国大会　学生奨励賞
  • 小沢公基
  • 三宮夏帆

メディア

• 「PALTEK、FPGAコンピューティングプラットフォーム「M-CUBE」を受注開始」, IoTNews 2020年3月25日掲載
• 「AIの研究成果発表」, 福島民報 2019年11月24日掲載
• 「会津大でAIシンポ」, 福島民友 2019年11月24日掲載