Naohisa Sakamoto, PhD

ABOUT ME

Naohisa Sakamoto is an associate professor of the Graduate School of System Informatics at Kobe University. He received the Ph.D. degree in Graduate School of Engineering from Kyoto University in 2007. From 2001 to 2003, he worked in KGT (Kubota Graphics Technology) in Japan. His research interests include scientific visualization and visual analytics for Big Data. He is a member of the Institute of Electronics, Information and Communication Engineers, the Visualization Society of Japan, Japan Society for Simulation Technology, Association for Computing Machinery, and the IEEE Computer Society.

AWARDS

• HPC Asia 2025, Best Paper Award Finalist, 2025.2

• The 6th Visualization Workshop (The Visualization Society of Japan), Honorable Mention Poster Award, 2023.3

• IEEE Large Data Analysis and Visualization 2022, Honorable Mention Award, 2022.10

• IEEE Pacific Visualization 2022, Honorable Mention Award, 2022.4

• The 5th Visualization Workshop (The Visualization Society of Japan), Honorable Mention Poster Award, 2022.2

• IEEE Pacific Visualization 2018, Honorable Mention Poster Award, 2018.4

• Japan Society of Simulation Technology, Encouragement Award, 2016.9

• The Visualization Society of Japan, Technical Award (The 25th period), 2014.7

• Asia Simulation Conference 2012, Best Paper Award nominated, 2012.11

• IEEE Pacific Visualization 2012, Best Poster Award, 2012.3

• Asia Simulation Conference 2011, Outstanding Paper Award, 2011.11 

• Asia Simulation Conference 2009, Best Poster Award, 2009.10

• The Visualization Society of Japan, Best Paper Award (The 21th period), 2009.10

• IEEE Pacific Visualization 2008, Best Poster Award, 2008.3

• The Visualization Society of Japan, Technical Award (The 18th period), 2007.7

GRANTS

• 2025.1-2025.12, Joint research with Ebara Corporation, Development of an in-situ data exploration environment for interactive analysis of unsteady flow, (Principal Investigator)

• 2023.10-, Fujitsu Small Research Laboratory, Advanced Computing & Social Implementation Collaborative Research Lab, (Co-Investigator)

• 2023-2026, Ministry of Education, Culture, Sports, Science and Technology (MEXT), Program for Promoting Researches on the Supercomputer Fugaku, Drastic  acceleration of the industrial applications of HPC through AI and research and development for new computational methods for the next era, Theme 2: Development of smart in-situ visualization infrastructure, (Theme leader)

• 2022.4.1-2027.3.31,Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (B) 22H03603, A New In-situ Visualization based on Agent Cameras, (Co-Investigator) 

• 2021.4.1-2025.3.31, Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (A) 21H04903, Ultra-High-Resolution Visualization of 3D Scanned Big Data for Assisting Recognition of Large-Scale 3D Structures in the Real World, (Co-Investigator)

• 2020.4.1-2024.3.31, Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (B) 20H04194, Smart in-situ visualization for large-scale numerical simulations aiming at efficient knowledge acquisition, (Principal Investigator)

• 2019.4.1 - 2022.3.31, Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (B) 19H03976, Estimation of physical pathology of articulatory disorder using articulatory simulator and medical information, (Co-Investigator)

• 2017.9.1 - 2018.3.31, National Institutes of Natural Sciences (NINS), Imaging Science Project o f the Center for Novel Science Initiatives (CNSI) IS291005, Development of causal volume visualization for large-scale numerical simulations, (Principal Investigator)

• 2017.4.1 - 2020.3.31, Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (C) 17K00169, Development of particle-based data exploration environment for large-scale dataset,  (Principal Investigator)

• 2015.5.1 - 2017.3.31, Japan Science and Technology Agency (JST), Matching Planner Program 15659074, Development of booklet contents visualization technique based on non-invasive method with X-ray imaging and stacked image analysis, (Co-Investigator)

• 2014.4.1 - 2017.3.31, Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (B) 26280043, Construction of integrated particle rendering environment for large scale data visualization, (Co-Investigator)

• 2012.10.1 - 2015.3.31, Japan Science and Technology Agency (JST), Adaptive and Seamless Technology transfer Program - Seeds development type (A-STEP, Stage-II) AS2415031H, Research and development of fused visualization technologies, (Co-Investigator)

• 2009.4.1 - 2012.3.31, Japan Society for the Promotion of Science (JSPS), Grant-in-Aid for Scientific Research (B) 21300035, Development of a remote collaboration environment using a particle-based volume rendering technique, (Co-Investigator)

• 2009.4.1 - 2013.3.31, Japan Science and Technology Agency (JST), Strategic International Research Cooperative Program (SICP) - Cooperative Research Projects with ANR, Peta-scale computing with transnational high-speed networking: application to upper airway flow, (Co-Investigator)

COMMITTEE SERVICE

• The 1st International Workshop on Visualization for the Digital and Public Humanities (DPH-Vis, IEEE PacificVis 2025), Program Committee

• SC25, Data Analytics, Visualization and Storage Committee (Subcommittee of SC25-Technical Program-Technical Papers), Member

• The 19th International Symposium on Visual Computing (ISVC 2024), International Program Committee

• SC24, Data Analytics, Visualization and Storage Committee (Subcommittee of SC24-Technical Program-Technical Papers), Member

• IEEE Pacific Visualization 2024, Organizing Chair

• The 18th International Symposium on Visual Computing (ISVC 2023), International Program Committee

• SC23, Data Analytics, Visualization and Storage Committee (Subcommittee of SC23-Technical Program-Technical Papers), Member

• In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV 2022), Program Committee, Best Paper Committee

• The 17th International Symposium on Visual Computing (ISVC 2022), International Program Committee

• IEEE Pacific Visualization 2022, Organizing Chair

• The 16th International Symposium on Visual Computing (ISVC 2021), International Program Committee

• The 15th International Symposium on Visual Computing (ISVC 2020), International Program Committee

• The 14th International Symposium on Visual Computing (ISVC 2019), International Program Committee

• The 18th Asia Simulation Conference (AsiaSim 2018), Program Committee Co-Chair

• The 13th International Symposium on Visual Computing (ISVC 2018), International Program Committee

• IEEE Pacific Visualization 2018, Organizing Chair

• The 2nd China-Japan Joint Visualization Workshop (CJVis 2018), Local Organizing Chair

• The 36th JSST Annual Conference - International Conference on Simulation Technology (JSST 2017), Program Chair

• NICOGRAPH International 2017, Conference Co-Chair

• IEEE Pacific Visualization 2017, Visualization Notes Co-Chair

• The 35th JSST Annual Conference - International Conference on Simulation Technology (JSST 2016), Program Chair

• IEEE Pacific Visualization 2016, Visualization Notes Committee

• SIGGRAPH ASIA 2015 Symposium on Visualization in High Performance Computing, Symposium Co-Chair

• NICOGRAPH 2015, Committee Member 

• The 34th JSST Annual Conference - International Conference on Simulation Technology (JSST 2015), Program Chair

• IEEE Pacific Visualization 2015, Poster Co-Chair & Visualization Notes Committee

• IEEE Pacific Visualization 2014, Program Committee

• The 14th Asia Simulation Conference 2014 (AsiaSim 2014), General Secretaries 

• International Workshop on High Speed Network and Computing Environments 2013, Program Committee 

• NICOGRAPH 2012, Committee Member 

• International Workshop on High Speed Network and Computing Environments 2012, Program Committee

• International Workshop on High Speed Network and Computing Environments 2011, Program Committee 

• International Workshop on World Wide Computing Environments for Knowledge Discovery 2011, Program Committee

• International Symposium on Imaging and Signal Processing in Healthcare and Technology 2011, Advisory Board

• Asia Simulation Conference 2010, Governing Board Committee

• Asia Simulation Conference 2009, Program Committee

• IEEE Pacific Visualization 2008, Registration Co-Chair

SOCIETY SERVICE

• 2022.4 - present, Information Processing Society of Japan, Member

• 2019.6 - present, The Visualization Society of Japan, Member of the representatives.

• 2019.2 - present, The Visualization Society of Japan, Chair of the journal editorial committee.

• 2018.8 - present,  Visualization creating integrated research of arts and sciences in the ICT era, Branch meeting of "Visualization Facilitating Scientific Knowledge Making", Section III: Physical Sciences and Engineering - Science Council of Japan, Sub-committee member.

• 2017.11 - present, Japan Society for Simulation Technology, Board member (English journal editorial committee).

• 2017.9 - present, Association for Computing Machinery, Member.

• 2012.11 - 2017.6, Japan Society for Simulation Technology, Vice-officer of the general affairs.

• 2012.7 - 2017.6, Japan Society for Simulation Technology, Member of the representatives.

• 2011.2 - present, IEEE Computer Society, Member.

• 2010.5 - present, Japan Society for Simulation Technology, Member.

• 2007.6 - present, The Visualization Society of Japan, Member.

• 1998.10 - present, The Institute of Electronics, Information and Communication Engineers, Member.

STUDENT MENTORSHIP

• 2024

  • M.S.

    • Taisei Matstushima, Development of a spatio-temporal camera moving path exploration method for smart in-situ visualization, Graduate School of System Informatics, Kobe University.

    • Masahiro Morii, Development of a denosing transformer for particle-based rendering, Graduate School of System Informatics, Kobe University.

    • Naoki Okami, Visual analytics for tensor data based on tensor unified linear comparative analysis, Graduate School of System Informatics, Kobe University.

    • Sena Kobayashi, Visual data exploration for large-scale ensemble simulation data using self-supervised deep metric learning, Graduate School of System Informatics, Kobe University.

  • B.S.

    • Kaho Takenouchi, Psychological feature extraction for baum test images using machine learning techniques and its visual analysis, Department of Computer Science and Systems Engineering, Kobe University.

    • Kazuki Miyake, Visual analytics for improving interpretability of tensor unified linear comparative analysis method, Department of Computer Science and Systems Engineering, Kobe University.

    • Shuta Ogawa, Axes ordering method in edge bundled parallel coordinates for ensemble data, Department of Computer Science and Systems Engineering, Kobe University.

    • Yuta Nakasaki, Development of a surrogate model for generating visualization images based on self-attention using GAN, Department of Computer Science and Systems Engineering, Kobe University.

    • Kinari Matsuzaki, Development of an interactive optimal viewpoint exploration system for smart in-situ visualization, Department of Computer Science and Systems Engineering, Kobe University.

• 2023

  • M.S.

    • Ken Iwata, Automatic camera path estimation for smart in-situ visualization, Graduate School of System Informatics, Kobe University.

    • Keita Watanabe, Angular-based edge bundled parallel coordinates plot for the visual analytics of large ensemble simulation data,Graduate School of System Informatics, Kobe University.

  • B.S.

    • Kazuya Adachi, Efficient camera path estimation for in-situ visualization using adaptive time-step sampling, Department of Computer Science and Systems Engineering, Kobe University.

    • Mizuki Emmei, Visual data analytics for tensor data using dimensionality reduction, Department of Computer Science and Systems Engineering, Kobe University.

    • Mikihiro Komoto, Development of visual analytics system for Baum test images using psychological test data, Department of Computer Science and Systems Engineering, Kobe University.

    • Tomoya Miyake, Acceleration for training image-based surrogate models using pixel shuffling, Department of Computer Science and Systems Engineering, Kobe University.

• 2022

  • M.S.

    • Keijiro Fujita, A visual tensor data analytics method using dimentionality reduction, Graduate School of System Informatics, Kobe University.

  • B.S.

    • Taisei Matstushima, Camera focus point estimation based on information entropy for in-situ visualization, Department of Computer Science and Systems Engineering, Kobe University.

    • Masahiro Morii, Acceleration of particle-based rendering using multiple convolutional denosing autoencoder, Department of Computer Science and Systems Engineering, Kobe University.

    • Naoki Okami, Visual comparative analytics for multidimensional time series data using tensor decomposition, Department of Computer Science and Systems Engineering, Kobe University.

    • Sena Kobayashi, Similarity-based visual data exploration for ensemble simulation data, Department of Computer Science and Systems Engineering, Kobe University.

    • Yuki Tanaka, Generation of free viewpoint visualization images using image-based surrogate model, Department of Computer Science and Systems Engineering, Kobe University.

• 2021

  • M.S.

    • Go Tamura, Visual analytics of spatio-temporal features for ensemble simulation data, Graduate School of System Informatics, Kobe University.

  • B.S.

    • Ken Iwata, Optimal camera path estimation based on information entropy for in-situ visualization, Department of Computer Science and Systems Engineering, Kobe University.

    • Amirul Haziq bin Azman, Performance improvement of stochastic rendering using convolutional neural network based denoising, Department of Computer Science and Systems Engineering, Kobe University.

    • Keita Watanabe, A visual analytics system for ensemble data using edge bundled parallel coordinates plot, Department of Computer Science and Systems Engineering, Kobe University.

• 2020

  • M.S.

    • Yasuyuki Fujita, Order-independent ambient occlusion for rendering transparency, Graduate School of System Informatics, Kobe University.

  • B.S.

    • Keijiro Fujita, A visual analytics method for time-varying log data with dimensionality reduction techniques, Department of Computer Science and Systems Engineering, Kobe University.

    • Yosuke Miyazaki, A visual mode exploration for numerical simulation dataset based on dynamic mode decomposition, Department of Computer Science and Systems Engineering, Kobe University.

    • Taiki Sako, Development of a multiple viewpoint rendering framework for exploratory in-situ visualization, Department of Computer Science and Systems Engineering, Kobe University.

• 2019

  • M.S.

    • Kazuki Koiso, Development of a visual causal exploration system for analyzing HPC failure using big log data, Graduate School of System Informatics, Kobe University.

    • Yoshiaki Yamaoka, Adaptive spatial and temporal sampling for in-situ visualization, Graduate School of System Informatics, Kobe University.

  • B.S.

    • Kaoru Uemori, Development of a visualization framework for Yin-Yang-Zhong grid dataset, Department of Computer Science and Systems Engineering, Kobe University.

    • Ginga Tabata, Multidimensional data visualization for immersive analytics based on 3D parallel plane plot, Department of Computer Science and Systems Engineering, Kobe University.

    • Go Tamura, Development of a visual analytics system for ensemble dataset, Department of Computer Science and Systems Engineering, Kobe University.

• 2018

  • M.S.

    • Sayaka Nagai, Development of a visual analysis system for phenotypic causal estimation in animal developmental dynamics, Graduate School of System Informatics, Kobe University.

    • Kengo Hayashi, In-Situ visualization for large-scale numerical simulation based on spatio-temporal changes, Graduate School of System Informatics, Kobe University.

  • B.S.

    • Yasuyuki Fujita, Ambient occlusion for stochastic semi-transparent streamline rendering, Department of Computer Science and Systems Engineering, Kobe University.

    • Yoshiki Muramoto, Visualization pipeline estimation from rendering images with deep learning technique, Department of Computer Science and Systems Engineering, Kobe University.

    • Azusa Nagahama, Development of a visualization framework for head-mounted display system, Department of Computer Science and Systems Engineering, Kobe University.

• 2017

  • M.S.

    • Takashi Shimizu, Visual causality exploration framework for large-scale numerical simulations, Graduate School of System Informatics, Kobe University.

    • Daichi Izaki, Speeding up the movie browser for 4D Street View using GPU, Graduate School of System Informatics, Kobe University.

  • B.S.

    • Kazuki Koiso, Development of a visual analytics system for failure analysis with HPC log data, Department of Computer Science and Systems Engineering, Kobe University.

    • Yoshiaki Yamaoka, Parallel particle based rendering based on 2-3-4 image composition technique, Department of Computer Science and Systems Engineering, Kobe University.

• 2016

  • M.S.

    • Tomohisa Tanaka, Development of the semi-transparent streamline visualization technology by stochastic approach, Graduate School of System Informatics, Kobe University.

    • Yu Han, Development of interactive visualization system for volume data with HMD, Graduate School of System Informatics, Kobe University.

  • B.S.

    • Kengo Hayashi, Parallel particle-based volume rendering based on particle radius adjustment technique, Department of Computer Science and Systems Engineering, Kobe University.

    • Sayaka Nagai, Development of a visual analysis system for cell division dynamics data of C. elegans embryos, Department of Computer Science and Systems Engineering, Kobe University.

• 2015

  • B.S.

    • Kazusa Tsubota, Development of a particle-based rendering for Yin-Yang-Zhong grid dataset, Department of Computer Science and Systems Engineering, Kobe University.