統計的機械学習（ベイズモデリングと深層学習を含む）およびそれに基づいた大規模・不均質・動的なデータの解析，とりわけ自然言語解析，ネットワーク解析，金融データ解析などの研究を行っている。
Statistical machine learning, including Bayesian modeling and deep learning, and its applications to large-scale, complex and/or dynamic data analysis, including natural language analysis, network analysis, and financial data analysis.

Keywords: Machine learning, natural language analysis, network analysis, financial data analysis

1. A supervised topic embedding model and its application, PLOS ONE, 17(11), 20221104
2. Forecasting Corporate Financial Time Series using Multi-phase Attention Recurrent Neural Networks, Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, 20200330
3. Hierarchical Topic Models for Expanding Category Hierarchies, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019 - Proceedings, 20190401

人の運動，感覚，心理に関わる計測，解析，モデリングとその工学応用に関する教育・研究。具体的には人間の運動・感覚メカニズム，ロボティクス，サイバネティクス，医療・福祉工学，ハプティクス，バーチャルリアリティ，ヒューマンコンピュータインタラクション，人間拡張など。
The main subject of research is the measurement, analysis and modeling of motor, sensory, and psychological functions with its engineering applications. The research area covers human mechanism, robotics, cybernetics, medical and healthcare engineering, haptics, virtual reality, human computer interaction, and human augmentation, etc.

Keywords: Motion assistive device; Haptics / Tactile; musculoskeletal model; Human Interface

1. Soft actuators-based skill training wearables: a review on the interaction modes, feedback types, VR scenarios, sensors utilization and applications, ROBOMECH JOURNAL, 10(1), 20230116
2. Effect of Medial-Lateral, Inferior-Superior, and Rotational Positions of Palms on Muscle Recruitment during the Push-Up Exercise, APPLIED SCIENCES-BASEL, 12(19), 202210
3. ★, Consumers' Willingness to Pay for Tactile Impressions: A Study Using Smartphone Covers, IEEE ACCESS, 10, 85180-85188, 20220801

Society5.0を支える技術としての，データ駆動型スマートシステムの構築に関する教育と研究。具体的には，制御システム，モデルベース開発(MBD)，データ駆動型システム，サイバー・フィジカル・システム(CPS)などに関する研究，ならびにこれらの社会実装。
Research and education on the construction of data-driven smart systems as a technology to support Society 5.0. Specifically, research on control systems, model-based development (MBD), data-driven systems, Cyber-Physical Systems (CPS), etc., and their social implementation.

Keywords: Data-Oriented (Data-Driven) Control; Adapive & Learning Control; Control Applications

1. Design of a Database-Driven Assist Control for a Hydraulic Excavator Considering Human Operation, Journal of Robotics and Mechatronics, 35(3), 703-710, 20230620
2. Design of a database-driven soft-sensor and its application to a control system, ELECTRONICS AND COMMUNICATIONS IN JAPAN, 105(4), 202212
3. ★, Design of a Database-Driven Excavation Assist Controller based on the Velocity of the Center-of-Mass for a Hydraulic Excavator, IEEE Access, 9, 64776-64784, 20210427

スマートセンシング・ロボット技術を中心としたサイバーフィジカルシステム(CPS)の研究。人間の能力を上回る高速ビジョン，高速化・集積化を念頭においた知的アルゴリズム，人間には感じとることが難しい振動等の情報センシング理論，ならびにこれらの様々な実世界場面での実装。
Research on Cyber-Physical Systems (CPS) with smart sensing and robot technologies. High-speed vision that exceeds human ability, intelligent algorithms for integration and acceleration, informatic sensing theories for human-insensible phenomena　such as vibration, and their implementation in various real-world scenarios.

Keywords: Smart Sensing; High-speed Vision; Cyber-Physical System; Remote Visualization; Advanced Robotics

1. Real-Time Vibration Visualization Using GPU-Based High-Speed Vision, JOURNAL OF ROBOTICS AND MECHATRONICS, 34(5), 1011-1023, 20221020Link to Paper Search Results by DOI
2. Multi-Thread AI Cameras Using High-Speed Active Vision System, JOURNAL OF ROBOTICS AND MECHATRONICS, 34(5), 1053-1062, 20221020Link to Paper Search Results by DOI
3. Development of a Multi-User Remote Video Monitoring System Using a Single Mirror-Drive Pan-Tilt Mechanism, JOURNAL OF ROBOTICS AND MECHATRONICS, 34(5), 1122-1132, 20221020

機構設計やロボット技術を中心としたサイバーフィジカルシステム(CPS)の研究。具体的には，移動ロボット，脚式ロボット，動力伝達機構，センシング機構，センサベスドマニピュレーションなど。
Research on Cyber-Physical Systems (CPS) with smart mechanics design and robotics technology. For example, mobile robot, legged robot, power transmission mechanism, sensing mechanism, sensor-based manipulation, etc

Keywords: Mechanism, Robot, Continuously Variable Transmission, Force Visualization Mechanism

1. An underactuated parallel-link gripper for a multicopter capable of plane perching, ROBOMECH JOURNAL, 9(1), 20220201
2. Condition analysis of a multicopter carried with passive skid for rough terrain landing, ROBOMECH JOURNAL, 8(1), 20211122
3. ★, Development of two DOF finger using load-sensitive continuously variable transmissions and ultrasonic motors, Advanced Robotics, 20(8), 897-911, 20060801

人間の選好や行動心理などを考慮に入れた意思決定分析とデータ解析。具体的には，ゲーム理論，最適化，意思決定論に基づく理論的な分析，人工社会モデルを用いたシミュレーション分析，機械学習及び進化計算手法を用いた非線形データ解析など。
Research on decision analysis and data analysis considering the preference structure of humans. It relates to game theory, optimization, decision analysis based on theoretical analysis, simulation analysis, artificial agent modelling, and nonlinear data analysis using machine learning and evolutionary computation.

Keywords: Simulation analysis; Game theory; Decision making; Machine Learning

1. Averaged dual solution for linear production games and its characterization, CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH, 31(2), 523-555, 202306
2. A two-stage linear production planning model with partial cooperation under stochastic demands, ANNALS OF OPERATIONS RESEARCH, 320(1), 293-324, 202301
3. ★, Development of a classifier system for a continuous environment, ELECTRONICS AND COMMUNICATIONS IN JAPAN, 102(10), 17-25, 201910

確率モデリングと統計的機械学習，特にベイズ統計に関する研究を行っている。
Research on probabilistic modeling, statistical machine learning with applications in natural language processing, clustering/outlier detection and uncertainty quantification in various domains (e.g. text, medical and security); Text/Numerical Data Analysis, Model Selection, and Bayesian Inference.

Keywords: Machine Learning, Probabilistic Modeling, Natural Language Processing, Model Selection, Regression and Clustering Analysis, Bayesian Statistics

1. Robust Gaussian Process Regression with the Trimmed Marginal Likelihood, Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI), 2023
2. ★, Adaptive covariate acquisition for minimizing total cost of classification, Machine Learning, pp. 1-38, 202104
3. ★, Convex covariate clustering for classification, Pattern Recognition Letters, 151, 193-199, 202109

画像の認識・理解・生成やコンピュータビジョン，機械学習，深層学習や脳型コンピューティングに関する研究，及びそれらの技術を用いたバイオメディカル イメージング，医用画像解析，視覚と言語情報の融合（コンピュータビジョンと自然言語処理の融合），ビデオ サーベイランスなどの各種応用研究を行っている。
Research related to image recognition and understanding, computer vision, machine learning, deep learning, brain-inspired computing and various applications of these technologies, such as biomedical image analysis, vision and language-based information fusion (computer vision and natural language processing), video surveillance, etc.

Keywords: machine learning, artificial intelligence, pattern recognition, image processing, image analysis, computer vision, data analysis, medical imaging, natural language processing, vision and language, brain-inspired computing

1. Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning, Springer LNCS, vol. 12959, pp. 34–43, 2021.
2. Biomedical Image Segmentation by Retina-like Sequential Attention Mechanism Using Only A Few Training Images, Springer LNCS, Vol. 11861, pp. 283-291, 2019.
3. Grassmann Matching Kernels for Scene Representation and Recognition, Proc. International Joint Conference on Neural Networks (IJCNN 2017), pp. 4422-4428, 2017.

脳神経科学，ネットワーク科学，人工知能の融合領域研究。具体的には，脳内電流源推定の手法開発，時変脳機能結合のネットワーク分析，脳構造ネットワーク上の情報伝播モデリング，実際の脳ネットワークと人工神経回路の関連づけ。
Interdisciplinary research in neuroscience, network science, and artificial intelligence. In particular, developing methods for estimating current sources in the brain, network analysis of time-resolved functional brain connectivity, modeling information propagation in structural brain networks, and relating empirical brain networks to artificial neural networks.

Keywords: Brain network analysis

1. Modular origins of high-amplitude cofluctuations in fine-scale functional connectivity dynamics, Proceedings of the National Academy of Sciences of the United States of America, 118(46), e2109380118, 2021
2. Signal propagation models for packet-based communication in structural brain networks, Annual conference of Japanese Neural Network Society, 2021
3. ★, Structural determinants of dynamic fluctuations between segregation and integration on the human connectome, Communications Biology, 3, 606, 2020

ヒトの生体信号情報の計測・解析やモデリング、機械学習応用に関する研究。具体的には、脳波・筋電位・心電図などに対する生体信号処理や、確率モデリング、機械学習、深層学習、ヒューマンマシンインタフェース、医用画像解析、ロボット義手など。
Research on the measurement, analysis, and modeling of human biosignal information and its machine learning applications. Topics include biosignal processing for EMG, EEG, ECG etc., probabilistic modeling, machine learning, deep learning, human-machine interface, robotic prostheses, biomedical image analysis, etc.

Keywords: Human machine interface, Probabilistic modeling, Statistical machine learning, Biological signal analysis

1. Prediction of autistic tendencies at 18 months of age via markerless video analysis of spontaneous body movements in 4-month-old infants, SCIENTIFIC REPORTS, 12(1), 20221027
2. Automated Classification of General Movements in Infants Using a Two-stream Spatiotemporal Fusion Network, Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI), 753-762, 20220916
3. ★, EMG pattern recognition via Bayesian inference with scale mixture-based stochastic generative models, Expert Systems with Applications, 185, 20211215

SDGsに貢献するデータ駆動型制御技術に関する研究。具体的には所望の制御性能を満足するパフォーマンス駆動型制御や人を中心としたヒューマン・イン・ザ・ループシステムの構築。
Research on data-driven control technology that contributes to the Sustainable Development Goals (SDGs). Specifically, the focus is on performance-driven control that satisfies the desired control performance and the construction of human-in-the-loop systems that prioritize interaction between humans and systems.

Keywords: Database-driven control, Performance-driven control, Kansei feedback control

1. Design of a database-driven soft-sensor and its application to a control system, ELECTRONICS AND COMMUNICATIONS IN JAPAN, 105(4), 202212
2. Design of a Data-Driven Controller based on Estimated I/O Data using Open-Loop Data, Journal of Advances in Artificial Life Robotics, 2(1), 48-52, 202106
3. Design of a Data-Driven Control System based on Reference Model using Predicted Input/Output Responses, JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE, 8(3), 170-174, 202112

高速ビジョンに基づく振動・回転・羽ばたき等のダイナミックセンシング技術を中心として、広域コンベア・中小橋梁計測や光学的アンチドローン監視システム、ミツバチ飛翔アクティビティ計測など、様々なスケールの応用分野への展開している。
Focusing on dynamic sensing technology such as vibration, rotation, and flapping based on high-speed vision, I'm  developing various scale application fields such as wide-area conveyors, small and medium-sized bridge measurement, optical anti-drone monitoring system, and bee flight activity measurement.

Keywords: High-speed vision, Vibration spectrum imaging, Sensing

1. HFR-video-based Fingertip Velocimeter for Multi-finger Tapping Detection, IEEE Sensors Journal, 23(10), 10673-10682, 202304
2. HFR-Video-Based Stereo Correspondence Using High Synchronous Short-Term Velocities, Sensors, 23(9), 4285, 202304
3. ★, Wide-area Operation Monitoring of Conveyors Using a Panoramic Vibration Camera, ISIJ INTERNATIONAL, 61(10), 2587-2596, 20211015