Bojan Batalo

e-mail: bbatalo@hotmail.com

Postdoctoral researcher at the Artificial Intelligence Research Center (AIRC), National Institute of Advanced Industrial Science and Technology (AIST). I am a part of Machine Learning Research Team (MLRT).

My research interests include the application of subspace/manifold-based methods to pattern recognition problems and simulation calibration. I’m fond of exploring different topics, and have done work on natural language processing, linguistics and the language of science communication, sound classification and cybersecurity.

Index

• Publications
• Education
• Work Experience
• Research Fundings
• Academic events organization
• Awards
• Honors
• Language Proficiency

Publications

Journals

1. Neil Millar, Bojan Batalo (2024). Comparative analysis of epistemic stance in abstracts of published biomedical research and associated National Institutes of Health funding applications (1985–2020). Applied Linguistics [pdf]
2. Maha Mahyub, Lincon S. Souza, Bojan Batalo, Kazuhiro Fukui (2024). Signal latent subspace: A new representation for environmental sound classification. Applied Acoustics [pdf]
3. Neil Millar, Bojan Batalo, Brian Budgell (2023). Promotional Language (Hype) in Abstracts of Publications of National Institutes of Health–Funded Research, 1985-2020. JAMA Network Open [pdf]
4. Neil Millar, Bryan Mathis, Bojan Batalo, Brian Budgell (2023). Trends in the Expression of Epistemic Stance in NIH Research Funding Applications: 1985–2020. Applied Linguistics [pdf]
5. Djafer Yahia M Benchadi, Bojan Batalo, Kazuhiro Fukui (2023). Efficient Malware Analysis using Subspace based methods on Representative image patterns. IEEE Access [pdf]
6. Bojan Batalo, Lincon S. Souza, Bernardo B. Gatto, Naoya Sogi, Kazuhiro Fukui, Temporal-Stochastic Tensor Features for Action Recognition, Machine Learning with Applications. [pdf]
7. Neil Millar, Bojan Batalo, Brian Budgell (2022). Trends in the Use of Promotional Language (Hype) in National Institutes of Health Funding Opportunity Announcements, 1992-2020. JAMA Network Open [pdf]
8. Neil Millar, Bojan Batalo, Brian Budgell (2022). Trends in the Use of Promotional Language (Hype) in Abstracts of Successful National Institutes of Health Grant Applications, 1985-2020. JAMA Network Open [pdf]

International Conferences

1. Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki (2023). Statistical moments for simulation calibration with model-bridge, 12th International Conference on Mathematical Modeling in Physical Sciences (IC-Msquare 2023).
2. Maha Mahyub, Lincon S. Souza, Bojan Batalo, Keisuke Yamazaki (2023),.Random Fourier Surrogate for simulation calibration, 12th International Conference on Mathematical Modeling in Physical Sciences (IC-Msquare 2023).
3. Djafer Yahia M Benchadi, Bojan Batalo, Kazuhiro Fukui (2023). Malware detection using Kernel Constrained Subspace Method, MVA 2023.
4. Lincon S. Souza, Bojan Batalo, Keisuke Yamazaki (2023). A geometric surrogate for simulation calibration, ICASSP 2023. [pdf]
5. Maha Mahyub, Lincon S. Souza, Bojan Batalo, Kazuhiro Fukui (2022). Environmental sound classification based on CNN latent subspaces, International Workshop on Acoustic Signal Enhancement (IWAENC 2022). [pdf]
6. Bojan Batalo, Lincon S. Souza, Naoya Sogi, Bernardo B. Gatto, Kazuhiro Fukui (2022). Analysis of Temporal Tensor Datasets on Product Grassmann Manifold, CVPR 2022 Workshop on Vision Datasets Understanding [pdf]
7. Dušan Radisavljević, Bojan Batalo, Rafal Rzepka & Kenji Araki (2022). Myers-Briggs Type Indicator and the Big Five Model - How Our Personality Affects Language Use, IEEE Asia-Pacific Conference on Computer Science and Data Engineering 2022 (IEEE CSDE 2022). [pdf]
8. Dušan Radisavljević, Bojan Batalo, Rafal Rzepka & Kenji Araki (2021). Text-Based Speaker Identification for Video Game Dialogues, IntelliSys 2021 [pdf]

PhD Thesis

• “Spatio-Temporal Tensor Analysis on Product Grassmann Manifolds and its Application to Action Recognition”, Department of Computer Science, University of Tsukuba, Doctor of Engineering, 2023.

Other

1. Milan Čeliković, Bojan Batalo, Dusan Radisavljević, Dinu Dragan & Zoran Anišić, 3D Avatar Platform — A Unique Configurator For 3D Figurine Customization, 8 International Conference on Mass Customization and Personalization (MCP-CE 2018) [pdf]

Education

• 2020 - 2023: Doctorate degree in Computer Science. University of Tsukuba, Japan, Graduate School of Systems and Information Engineering, Department of Computer Science.
• 2019 - 2020: Research Student. University of Tsukuba, Japan, Graduate School of Systems and Information Engineering, Department of Computer Science.
• 2017 - 2019: Master’s degree in Computer Science. University of Novi Sad, Serbia, Faculty of Technical Sciences, Department of Computer Science.
• 2013 - 2017: Bachelor of Engineering. University of Novi Sad, Serbia, Faculty of Technical Sciences, Department of Computer Science

Work Experience

• 2023.04 - current: Postdoctoral researcher at Machine Learning Research Team, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST).
• 2022.01 - 2023.03: Technical Staff at Machine Learning Research Team, Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST).
• 2021.04 - 2022.03: Research Assistant for Prof. Neil Millar - corpuslinguist, Graduate School of Systems and Information Engineering, University of Tsukuba.
• 2018.10 - 2019.03: Software Engineer at Hybrid IT Solutions.
• 2017.10 - 2018.10: Software Engineer at DOOB Innovation Studio.

Research Fundings

• “Tensor-based change point detection for surveillance video data”, Young Researcher Training Program for the Degree Programs in Systems and Information Engineering (システム情報工学研究科若手研究者育成プログラム), University of Tsukuba, 194750JPY, 2022.9.1-2023.3.31

Academic events organization

• Co-chair for the 2021 CollaboTICS Workshop, a collaborative workshop among the University of Tsukuba (Japan), University of Grenoble-Alpes (France) and the Ruhr-Universität Bochum (Germany).
• Committee member for the 2022 CollaboTICS Workshop, a collaborative workshop among the University of Tsukuba (Japan), University of Grenoble-Alpes (France) and the Ruhr-Universität Bochum (Germany).

Awards

• Computer Science Special Award by the University of Tsukuba, for the organization of the 2021 CollaboTICS Workshop, 2022, Japan.
• Computer Science Special Award by the University of Tsukuba, for the organization of the 2022 CollaboTICS Workshop, 2023, Japan.

Honors

• MEXT Scholarship Awarded by the Japanese Government (2019 - 2023).

Language Proficiency

• Serbian (native)
• English - TOEFL IBT, 110 (2019)